source stringlengths 3 92 | c stringlengths 26 2.25M |
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GB_unop__identity_fp64_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_fp64_fp64)
// op(A') function: GB (_unop_tran__identity_fp64_fp64)
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = aij
#define GB_ATYPE \
double
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
double z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
double z = aij ; \
Cx [pC] = z ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
1
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_fp64_fp64)
(
double *Cx, // Cx and Ax may be aliased
const double *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
// TODO: if OP is ONE and uniform-valued matrices are exploited, then
// do this in O(1) time
if (Ab == NULL)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (double), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
double z = aij ;
Cx [p] = z ;
}
#endif
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
double aij = Ax [p] ;
double z = aij ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_fp64_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
omp-low.c | /* Lowering pass for OpenMP directives. Converts OpenMP directives
into explicit calls to the runtime library (libgomp) and data
marshalling to implement data sharing and copying clauses.
Contributed by Diego Novillo <dnovillo@redhat.com>
Copyright (C) 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012
Free Software Foundation, Inc.
This file is part of GCC.
GCC is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation; either version 3, or (at your option) any later
version.
GCC is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.
You should have received a copy of the GNU General Public License
along with GCC; see the file COPYING3. If not see
<http://www.gnu.org/licenses/>. */
#include "config.h"
#include "system.h"
#include "coretypes.h"
#include "tm.h"
#include "tree.h"
#include "rtl.h"
#include "gimple.h"
#include "tree-iterator.h"
#include "tree-inline.h"
#include "langhooks.h"
#include "diagnostic-core.h"
#include "tree-flow.h"
#include "timevar.h"
#include "flags.h"
#include "function.h"
#include "expr.h"
#include "tree-pass.h"
#include "ggc.h"
#include "except.h"
#include "splay-tree.h"
#include "optabs.h"
#include "cfgloop.h"
/* Lowering of OpenMP parallel and workshare constructs proceeds in two
phases. The first phase scans the function looking for OMP statements
and then for variables that must be replaced to satisfy data sharing
clauses. The second phase expands code for the constructs, as well as
re-gimplifying things when variables have been replaced with complex
expressions.
Final code generation is done by pass_expand_omp. The flowgraph is
scanned for parallel regions which are then moved to a new
function, to be invoked by the thread library. */
/* Context structure. Used to store information about each parallel
directive in the code. */
typedef struct omp_context
{
/* This field must be at the beginning, as we do "inheritance": Some
callback functions for tree-inline.c (e.g., omp_copy_decl)
receive a copy_body_data pointer that is up-casted to an
omp_context pointer. */
copy_body_data cb;
/* The tree of contexts corresponding to the encountered constructs. */
struct omp_context *outer;
gimple stmt;
/* Map variables to fields in a structure that allows communication
between sending and receiving threads. */
splay_tree field_map;
tree record_type;
tree sender_decl;
tree receiver_decl;
/* These are used just by task contexts, if task firstprivate fn is
needed. srecord_type is used to communicate from the thread
that encountered the task construct to task firstprivate fn,
record_type is allocated by GOMP_task, initialized by task firstprivate
fn and passed to the task body fn. */
splay_tree sfield_map;
tree srecord_type;
/* A chain of variables to add to the top-level block surrounding the
construct. In the case of a parallel, this is in the child function. */
tree block_vars;
/* What to do with variables with implicitly determined sharing
attributes. */
enum omp_clause_default_kind default_kind;
/* Nesting depth of this context. Used to beautify error messages re
invalid gotos. The outermost ctx is depth 1, with depth 0 being
reserved for the main body of the function. */
int depth;
/* True if this parallel directive is nested within another. */
bool is_nested;
} omp_context;
struct omp_for_data_loop
{
tree v, n1, n2, step;
enum tree_code cond_code;
};
/* A structure describing the main elements of a parallel loop. */
struct omp_for_data
{
struct omp_for_data_loop loop;
tree chunk_size;
gimple for_stmt;
tree pre, iter_type;
int collapse;
bool have_nowait, have_ordered;
enum omp_clause_schedule_kind sched_kind;
struct omp_for_data_loop *loops;
};
static splay_tree all_contexts;
static int taskreg_nesting_level;
struct omp_region *root_omp_region;
static bitmap task_shared_vars;
static void scan_omp (gimple_seq, omp_context *);
static tree scan_omp_1_op (tree *, int *, void *);
#define WALK_SUBSTMTS \
case GIMPLE_BIND: \
case GIMPLE_TRY: \
case GIMPLE_CATCH: \
case GIMPLE_EH_FILTER: \
case GIMPLE_TRANSACTION: \
/* The sub-statements for these should be walked. */ \
*handled_ops_p = false; \
break;
/* Convenience function for calling scan_omp_1_op on tree operands. */
static inline tree
scan_omp_op (tree *tp, omp_context *ctx)
{
struct walk_stmt_info wi;
memset (&wi, 0, sizeof (wi));
wi.info = ctx;
wi.want_locations = true;
return walk_tree (tp, scan_omp_1_op, &wi, NULL);
}
static void lower_omp (gimple_seq, omp_context *);
static tree lookup_decl_in_outer_ctx (tree, omp_context *);
static tree maybe_lookup_decl_in_outer_ctx (tree, omp_context *);
/* Find an OpenMP clause of type KIND within CLAUSES. */
tree
find_omp_clause (tree clauses, enum omp_clause_code kind)
{
for (; clauses ; clauses = OMP_CLAUSE_CHAIN (clauses))
if (OMP_CLAUSE_CODE (clauses) == kind)
return clauses;
return NULL_TREE;
}
/* Return true if CTX is for an omp parallel. */
static inline bool
is_parallel_ctx (omp_context *ctx)
{
return gimple_code (ctx->stmt) == GIMPLE_OMP_PARALLEL;
}
/* Return true if CTX is for an omp task. */
static inline bool
is_task_ctx (omp_context *ctx)
{
return gimple_code (ctx->stmt) == GIMPLE_OMP_TASK;
}
/* Return true if CTX is for an omp parallel or omp task. */
static inline bool
is_taskreg_ctx (omp_context *ctx)
{
return gimple_code (ctx->stmt) == GIMPLE_OMP_PARALLEL
|| gimple_code (ctx->stmt) == GIMPLE_OMP_TASK;
}
/* Return true if REGION is a combined parallel+workshare region. */
static inline bool
is_combined_parallel (struct omp_region *region)
{
return region->is_combined_parallel;
}
/* Extract the header elements of parallel loop FOR_STMT and store
them into *FD. */
static void
extract_omp_for_data (gimple for_stmt, struct omp_for_data *fd,
struct omp_for_data_loop *loops)
{
tree t, var, *collapse_iter, *collapse_count;
tree count = NULL_TREE, iter_type = long_integer_type_node;
struct omp_for_data_loop *loop;
int i;
struct omp_for_data_loop dummy_loop;
location_t loc = gimple_location (for_stmt);
fd->for_stmt = for_stmt;
fd->pre = NULL;
fd->collapse = gimple_omp_for_collapse (for_stmt);
if (fd->collapse > 1)
fd->loops = loops;
else
fd->loops = &fd->loop;
fd->have_nowait = fd->have_ordered = false;
fd->sched_kind = OMP_CLAUSE_SCHEDULE_STATIC;
fd->chunk_size = NULL_TREE;
collapse_iter = NULL;
collapse_count = NULL;
for (t = gimple_omp_for_clauses (for_stmt); t ; t = OMP_CLAUSE_CHAIN (t))
switch (OMP_CLAUSE_CODE (t))
{
case OMP_CLAUSE_NOWAIT:
fd->have_nowait = true;
break;
case OMP_CLAUSE_ORDERED:
fd->have_ordered = true;
break;
case OMP_CLAUSE_SCHEDULE:
fd->sched_kind = OMP_CLAUSE_SCHEDULE_KIND (t);
fd->chunk_size = OMP_CLAUSE_SCHEDULE_CHUNK_EXPR (t);
break;
case OMP_CLAUSE_COLLAPSE:
if (fd->collapse > 1)
{
collapse_iter = &OMP_CLAUSE_COLLAPSE_ITERVAR (t);
collapse_count = &OMP_CLAUSE_COLLAPSE_COUNT (t);
}
default:
break;
}
/* FIXME: for now map schedule(auto) to schedule(static).
There should be analysis to determine whether all iterations
are approximately the same amount of work (then schedule(static)
is best) or if it varies (then schedule(dynamic,N) is better). */
if (fd->sched_kind == OMP_CLAUSE_SCHEDULE_AUTO)
{
fd->sched_kind = OMP_CLAUSE_SCHEDULE_STATIC;
gcc_assert (fd->chunk_size == NULL);
}
gcc_assert (fd->collapse == 1 || collapse_iter != NULL);
if (fd->sched_kind == OMP_CLAUSE_SCHEDULE_RUNTIME)
gcc_assert (fd->chunk_size == NULL);
else if (fd->chunk_size == NULL)
{
/* We only need to compute a default chunk size for ordered
static loops and dynamic loops. */
if (fd->sched_kind != OMP_CLAUSE_SCHEDULE_STATIC
|| fd->have_ordered
|| fd->collapse > 1)
fd->chunk_size = (fd->sched_kind == OMP_CLAUSE_SCHEDULE_STATIC)
? integer_zero_node : integer_one_node;
}
for (i = 0; i < fd->collapse; i++)
{
if (fd->collapse == 1)
loop = &fd->loop;
else if (loops != NULL)
loop = loops + i;
else
loop = &dummy_loop;
loop->v = gimple_omp_for_index (for_stmt, i);
gcc_assert (SSA_VAR_P (loop->v));
gcc_assert (TREE_CODE (TREE_TYPE (loop->v)) == INTEGER_TYPE
|| TREE_CODE (TREE_TYPE (loop->v)) == POINTER_TYPE);
var = TREE_CODE (loop->v) == SSA_NAME ? SSA_NAME_VAR (loop->v) : loop->v;
loop->n1 = gimple_omp_for_initial (for_stmt, i);
loop->cond_code = gimple_omp_for_cond (for_stmt, i);
loop->n2 = gimple_omp_for_final (for_stmt, i);
switch (loop->cond_code)
{
case LT_EXPR:
case GT_EXPR:
break;
case LE_EXPR:
if (POINTER_TYPE_P (TREE_TYPE (loop->n2)))
loop->n2 = fold_build_pointer_plus_hwi_loc (loc, loop->n2, 1);
else
loop->n2 = fold_build2_loc (loc,
PLUS_EXPR, TREE_TYPE (loop->n2), loop->n2,
build_int_cst (TREE_TYPE (loop->n2), 1));
loop->cond_code = LT_EXPR;
break;
case GE_EXPR:
if (POINTER_TYPE_P (TREE_TYPE (loop->n2)))
loop->n2 = fold_build_pointer_plus_hwi_loc (loc, loop->n2, -1);
else
loop->n2 = fold_build2_loc (loc,
MINUS_EXPR, TREE_TYPE (loop->n2), loop->n2,
build_int_cst (TREE_TYPE (loop->n2), 1));
loop->cond_code = GT_EXPR;
break;
default:
gcc_unreachable ();
}
t = gimple_omp_for_incr (for_stmt, i);
gcc_assert (TREE_OPERAND (t, 0) == var);
switch (TREE_CODE (t))
{
case PLUS_EXPR:
case POINTER_PLUS_EXPR:
loop->step = TREE_OPERAND (t, 1);
break;
case MINUS_EXPR:
loop->step = TREE_OPERAND (t, 1);
loop->step = fold_build1_loc (loc,
NEGATE_EXPR, TREE_TYPE (loop->step),
loop->step);
break;
default:
gcc_unreachable ();
}
if (iter_type != long_long_unsigned_type_node)
{
if (POINTER_TYPE_P (TREE_TYPE (loop->v)))
iter_type = long_long_unsigned_type_node;
else if (TYPE_UNSIGNED (TREE_TYPE (loop->v))
&& TYPE_PRECISION (TREE_TYPE (loop->v))
>= TYPE_PRECISION (iter_type))
{
tree n;
if (loop->cond_code == LT_EXPR)
n = fold_build2_loc (loc,
PLUS_EXPR, TREE_TYPE (loop->v),
loop->n2, loop->step);
else
n = loop->n1;
if (TREE_CODE (n) != INTEGER_CST
|| tree_int_cst_lt (TYPE_MAX_VALUE (iter_type), n))
iter_type = long_long_unsigned_type_node;
}
else if (TYPE_PRECISION (TREE_TYPE (loop->v))
> TYPE_PRECISION (iter_type))
{
tree n1, n2;
if (loop->cond_code == LT_EXPR)
{
n1 = loop->n1;
n2 = fold_build2_loc (loc,
PLUS_EXPR, TREE_TYPE (loop->v),
loop->n2, loop->step);
}
else
{
n1 = fold_build2_loc (loc,
MINUS_EXPR, TREE_TYPE (loop->v),
loop->n2, loop->step);
n2 = loop->n1;
}
if (TREE_CODE (n1) != INTEGER_CST
|| TREE_CODE (n2) != INTEGER_CST
|| !tree_int_cst_lt (TYPE_MIN_VALUE (iter_type), n1)
|| !tree_int_cst_lt (n2, TYPE_MAX_VALUE (iter_type)))
iter_type = long_long_unsigned_type_node;
}
}
if (collapse_count && *collapse_count == NULL)
{
if ((i == 0 || count != NULL_TREE)
&& TREE_CODE (TREE_TYPE (loop->v)) == INTEGER_TYPE
&& TREE_CONSTANT (loop->n1)
&& TREE_CONSTANT (loop->n2)
&& TREE_CODE (loop->step) == INTEGER_CST)
{
tree itype = TREE_TYPE (loop->v);
if (POINTER_TYPE_P (itype))
itype
= lang_hooks.types.type_for_size (TYPE_PRECISION (itype), 0);
t = build_int_cst (itype, (loop->cond_code == LT_EXPR ? -1 : 1));
t = fold_build2_loc (loc,
PLUS_EXPR, itype,
fold_convert_loc (loc, itype, loop->step), t);
t = fold_build2_loc (loc, PLUS_EXPR, itype, t,
fold_convert_loc (loc, itype, loop->n2));
t = fold_build2_loc (loc, MINUS_EXPR, itype, t,
fold_convert_loc (loc, itype, loop->n1));
if (TYPE_UNSIGNED (itype) && loop->cond_code == GT_EXPR)
t = fold_build2_loc (loc, TRUNC_DIV_EXPR, itype,
fold_build1_loc (loc, NEGATE_EXPR, itype, t),
fold_build1_loc (loc, NEGATE_EXPR, itype,
fold_convert_loc (loc, itype,
loop->step)));
else
t = fold_build2_loc (loc, TRUNC_DIV_EXPR, itype, t,
fold_convert_loc (loc, itype, loop->step));
t = fold_convert_loc (loc, long_long_unsigned_type_node, t);
if (count != NULL_TREE)
count = fold_build2_loc (loc,
MULT_EXPR, long_long_unsigned_type_node,
count, t);
else
count = t;
if (TREE_CODE (count) != INTEGER_CST)
count = NULL_TREE;
}
else
count = NULL_TREE;
}
}
if (count)
{
if (!tree_int_cst_lt (count, TYPE_MAX_VALUE (long_integer_type_node)))
iter_type = long_long_unsigned_type_node;
else
iter_type = long_integer_type_node;
}
else if (collapse_iter && *collapse_iter != NULL)
iter_type = TREE_TYPE (*collapse_iter);
fd->iter_type = iter_type;
if (collapse_iter && *collapse_iter == NULL)
*collapse_iter = create_tmp_var (iter_type, ".iter");
if (collapse_count && *collapse_count == NULL)
{
if (count)
*collapse_count = fold_convert_loc (loc, iter_type, count);
else
*collapse_count = create_tmp_var (iter_type, ".count");
}
if (fd->collapse > 1)
{
fd->loop.v = *collapse_iter;
fd->loop.n1 = build_int_cst (TREE_TYPE (fd->loop.v), 0);
fd->loop.n2 = *collapse_count;
fd->loop.step = build_int_cst (TREE_TYPE (fd->loop.v), 1);
fd->loop.cond_code = LT_EXPR;
}
}
/* Given two blocks PAR_ENTRY_BB and WS_ENTRY_BB such that WS_ENTRY_BB
is the immediate dominator of PAR_ENTRY_BB, return true if there
are no data dependencies that would prevent expanding the parallel
directive at PAR_ENTRY_BB as a combined parallel+workshare region.
When expanding a combined parallel+workshare region, the call to
the child function may need additional arguments in the case of
GIMPLE_OMP_FOR regions. In some cases, these arguments are
computed out of variables passed in from the parent to the child
via 'struct .omp_data_s'. For instance:
#pragma omp parallel for schedule (guided, i * 4)
for (j ...)
Is lowered into:
# BLOCK 2 (PAR_ENTRY_BB)
.omp_data_o.i = i;
#pragma omp parallel [child fn: bar.omp_fn.0 ( ..., D.1598)
# BLOCK 3 (WS_ENTRY_BB)
.omp_data_i = &.omp_data_o;
D.1667 = .omp_data_i->i;
D.1598 = D.1667 * 4;
#pragma omp for schedule (guided, D.1598)
When we outline the parallel region, the call to the child function
'bar.omp_fn.0' will need the value D.1598 in its argument list, but
that value is computed *after* the call site. So, in principle we
cannot do the transformation.
To see whether the code in WS_ENTRY_BB blocks the combined
parallel+workshare call, we collect all the variables used in the
GIMPLE_OMP_FOR header check whether they appear on the LHS of any
statement in WS_ENTRY_BB. If so, then we cannot emit the combined
call.
FIXME. If we had the SSA form built at this point, we could merely
hoist the code in block 3 into block 2 and be done with it. But at
this point we don't have dataflow information and though we could
hack something up here, it is really not worth the aggravation. */
static bool
workshare_safe_to_combine_p (basic_block ws_entry_bb)
{
struct omp_for_data fd;
gimple ws_stmt = last_stmt (ws_entry_bb);
if (gimple_code (ws_stmt) == GIMPLE_OMP_SECTIONS)
return true;
gcc_assert (gimple_code (ws_stmt) == GIMPLE_OMP_FOR);
extract_omp_for_data (ws_stmt, &fd, NULL);
if (fd.collapse > 1 && TREE_CODE (fd.loop.n2) != INTEGER_CST)
return false;
if (fd.iter_type != long_integer_type_node)
return false;
/* FIXME. We give up too easily here. If any of these arguments
are not constants, they will likely involve variables that have
been mapped into fields of .omp_data_s for sharing with the child
function. With appropriate data flow, it would be possible to
see through this. */
if (!is_gimple_min_invariant (fd.loop.n1)
|| !is_gimple_min_invariant (fd.loop.n2)
|| !is_gimple_min_invariant (fd.loop.step)
|| (fd.chunk_size && !is_gimple_min_invariant (fd.chunk_size)))
return false;
return true;
}
/* Collect additional arguments needed to emit a combined
parallel+workshare call. WS_STMT is the workshare directive being
expanded. */
static VEC(tree,gc) *
get_ws_args_for (gimple ws_stmt)
{
tree t;
location_t loc = gimple_location (ws_stmt);
VEC(tree,gc) *ws_args;
if (gimple_code (ws_stmt) == GIMPLE_OMP_FOR)
{
struct omp_for_data fd;
extract_omp_for_data (ws_stmt, &fd, NULL);
ws_args = VEC_alloc (tree, gc, 3 + (fd.chunk_size != 0));
t = fold_convert_loc (loc, long_integer_type_node, fd.loop.n1);
VEC_quick_push (tree, ws_args, t);
t = fold_convert_loc (loc, long_integer_type_node, fd.loop.n2);
VEC_quick_push (tree, ws_args, t);
t = fold_convert_loc (loc, long_integer_type_node, fd.loop.step);
VEC_quick_push (tree, ws_args, t);
if (fd.chunk_size)
{
t = fold_convert_loc (loc, long_integer_type_node, fd.chunk_size);
VEC_quick_push (tree, ws_args, t);
}
return ws_args;
}
else if (gimple_code (ws_stmt) == GIMPLE_OMP_SECTIONS)
{
/* Number of sections is equal to the number of edges from the
GIMPLE_OMP_SECTIONS_SWITCH statement, except for the one to
the exit of the sections region. */
basic_block bb = single_succ (gimple_bb (ws_stmt));
t = build_int_cst (unsigned_type_node, EDGE_COUNT (bb->succs) - 1);
ws_args = VEC_alloc (tree, gc, 1);
VEC_quick_push (tree, ws_args, t);
return ws_args;
}
gcc_unreachable ();
}
/* Discover whether REGION is a combined parallel+workshare region. */
static void
determine_parallel_type (struct omp_region *region)
{
basic_block par_entry_bb, par_exit_bb;
basic_block ws_entry_bb, ws_exit_bb;
if (region == NULL || region->inner == NULL
|| region->exit == NULL || region->inner->exit == NULL
|| region->inner->cont == NULL)
return;
/* We only support parallel+for and parallel+sections. */
if (region->type != GIMPLE_OMP_PARALLEL
|| (region->inner->type != GIMPLE_OMP_FOR
&& region->inner->type != GIMPLE_OMP_SECTIONS))
return;
/* Check for perfect nesting PAR_ENTRY_BB -> WS_ENTRY_BB and
WS_EXIT_BB -> PAR_EXIT_BB. */
par_entry_bb = region->entry;
par_exit_bb = region->exit;
ws_entry_bb = region->inner->entry;
ws_exit_bb = region->inner->exit;
if (single_succ (par_entry_bb) == ws_entry_bb
&& single_succ (ws_exit_bb) == par_exit_bb
&& workshare_safe_to_combine_p (ws_entry_bb)
&& (gimple_omp_parallel_combined_p (last_stmt (par_entry_bb))
|| (last_and_only_stmt (ws_entry_bb)
&& last_and_only_stmt (par_exit_bb))))
{
gimple ws_stmt = last_stmt (ws_entry_bb);
if (region->inner->type == GIMPLE_OMP_FOR)
{
/* If this is a combined parallel loop, we need to determine
whether or not to use the combined library calls. There
are two cases where we do not apply the transformation:
static loops and any kind of ordered loop. In the first
case, we already open code the loop so there is no need
to do anything else. In the latter case, the combined
parallel loop call would still need extra synchronization
to implement ordered semantics, so there would not be any
gain in using the combined call. */
tree clauses = gimple_omp_for_clauses (ws_stmt);
tree c = find_omp_clause (clauses, OMP_CLAUSE_SCHEDULE);
if (c == NULL
|| OMP_CLAUSE_SCHEDULE_KIND (c) == OMP_CLAUSE_SCHEDULE_STATIC
|| find_omp_clause (clauses, OMP_CLAUSE_ORDERED))
{
region->is_combined_parallel = false;
region->inner->is_combined_parallel = false;
return;
}
}
region->is_combined_parallel = true;
region->inner->is_combined_parallel = true;
region->ws_args = get_ws_args_for (ws_stmt);
}
}
/* Return true if EXPR is variable sized. */
static inline bool
is_variable_sized (const_tree expr)
{
return !TREE_CONSTANT (TYPE_SIZE_UNIT (TREE_TYPE (expr)));
}
/* Return true if DECL is a reference type. */
static inline bool
is_reference (tree decl)
{
return lang_hooks.decls.omp_privatize_by_reference (decl);
}
/* Lookup variables in the decl or field splay trees. The "maybe" form
allows for the variable form to not have been entered, otherwise we
assert that the variable must have been entered. */
static inline tree
lookup_decl (tree var, omp_context *ctx)
{
tree *n;
n = (tree *) pointer_map_contains (ctx->cb.decl_map, var);
return *n;
}
static inline tree
maybe_lookup_decl (const_tree var, omp_context *ctx)
{
tree *n;
n = (tree *) pointer_map_contains (ctx->cb.decl_map, var);
return n ? *n : NULL_TREE;
}
static inline tree
lookup_field (tree var, omp_context *ctx)
{
splay_tree_node n;
n = splay_tree_lookup (ctx->field_map, (splay_tree_key) var);
return (tree) n->value;
}
static inline tree
lookup_sfield (tree var, omp_context *ctx)
{
splay_tree_node n;
n = splay_tree_lookup (ctx->sfield_map
? ctx->sfield_map : ctx->field_map,
(splay_tree_key) var);
return (tree) n->value;
}
static inline tree
maybe_lookup_field (tree var, omp_context *ctx)
{
splay_tree_node n;
n = splay_tree_lookup (ctx->field_map, (splay_tree_key) var);
return n ? (tree) n->value : NULL_TREE;
}
/* Return true if DECL should be copied by pointer. SHARED_CTX is
the parallel context if DECL is to be shared. */
static bool
use_pointer_for_field (tree decl, omp_context *shared_ctx)
{
if (AGGREGATE_TYPE_P (TREE_TYPE (decl)))
return true;
/* We can only use copy-in/copy-out semantics for shared variables
when we know the value is not accessible from an outer scope. */
if (shared_ctx)
{
/* ??? Trivially accessible from anywhere. But why would we even
be passing an address in this case? Should we simply assert
this to be false, or should we have a cleanup pass that removes
these from the list of mappings? */
if (TREE_STATIC (decl) || DECL_EXTERNAL (decl))
return true;
/* For variables with DECL_HAS_VALUE_EXPR_P set, we cannot tell
without analyzing the expression whether or not its location
is accessible to anyone else. In the case of nested parallel
regions it certainly may be. */
if (TREE_CODE (decl) != RESULT_DECL && DECL_HAS_VALUE_EXPR_P (decl))
return true;
/* Do not use copy-in/copy-out for variables that have their
address taken. */
if (TREE_ADDRESSABLE (decl))
return true;
/* Disallow copy-in/out in nested parallel if
decl is shared in outer parallel, otherwise
each thread could store the shared variable
in its own copy-in location, making the
variable no longer really shared. */
if (!TREE_READONLY (decl) && shared_ctx->is_nested)
{
omp_context *up;
for (up = shared_ctx->outer; up; up = up->outer)
if (is_taskreg_ctx (up) && maybe_lookup_decl (decl, up))
break;
if (up)
{
tree c;
for (c = gimple_omp_taskreg_clauses (up->stmt);
c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_SHARED
&& OMP_CLAUSE_DECL (c) == decl)
break;
if (c)
goto maybe_mark_addressable_and_ret;
}
}
/* For tasks avoid using copy-in/out, unless they are readonly
(in which case just copy-in is used). As tasks can be
deferred or executed in different thread, when GOMP_task
returns, the task hasn't necessarily terminated. */
if (!TREE_READONLY (decl) && is_task_ctx (shared_ctx))
{
tree outer;
maybe_mark_addressable_and_ret:
outer = maybe_lookup_decl_in_outer_ctx (decl, shared_ctx);
if (is_gimple_reg (outer))
{
/* Taking address of OUTER in lower_send_shared_vars
might need regimplification of everything that uses the
variable. */
if (!task_shared_vars)
task_shared_vars = BITMAP_ALLOC (NULL);
bitmap_set_bit (task_shared_vars, DECL_UID (outer));
TREE_ADDRESSABLE (outer) = 1;
}
return true;
}
}
return false;
}
/* Create a new VAR_DECL and copy information from VAR to it. */
tree
copy_var_decl (tree var, tree name, tree type)
{
tree copy = build_decl (DECL_SOURCE_LOCATION (var), VAR_DECL, name, type);
TREE_ADDRESSABLE (copy) = TREE_ADDRESSABLE (var);
TREE_THIS_VOLATILE (copy) = TREE_THIS_VOLATILE (var);
DECL_GIMPLE_REG_P (copy) = DECL_GIMPLE_REG_P (var);
DECL_ARTIFICIAL (copy) = DECL_ARTIFICIAL (var);
DECL_IGNORED_P (copy) = DECL_IGNORED_P (var);
DECL_CONTEXT (copy) = DECL_CONTEXT (var);
TREE_USED (copy) = 1;
DECL_SEEN_IN_BIND_EXPR_P (copy) = 1;
return copy;
}
/* Construct a new automatic decl similar to VAR. */
static tree
omp_copy_decl_2 (tree var, tree name, tree type, omp_context *ctx)
{
tree copy = copy_var_decl (var, name, type);
DECL_CONTEXT (copy) = current_function_decl;
DECL_CHAIN (copy) = ctx->block_vars;
ctx->block_vars = copy;
return copy;
}
static tree
omp_copy_decl_1 (tree var, omp_context *ctx)
{
return omp_copy_decl_2 (var, DECL_NAME (var), TREE_TYPE (var), ctx);
}
/* Build COMPONENT_REF and set TREE_THIS_VOLATILE and TREE_READONLY on it
as appropriate. */
static tree
omp_build_component_ref (tree obj, tree field)
{
tree ret = build3 (COMPONENT_REF, TREE_TYPE (field), obj, field, NULL);
if (TREE_THIS_VOLATILE (field))
TREE_THIS_VOLATILE (ret) |= 1;
if (TREE_READONLY (field))
TREE_READONLY (ret) |= 1;
return ret;
}
/* Build tree nodes to access the field for VAR on the receiver side. */
static tree
build_receiver_ref (tree var, bool by_ref, omp_context *ctx)
{
tree x, field = lookup_field (var, ctx);
/* If the receiver record type was remapped in the child function,
remap the field into the new record type. */
x = maybe_lookup_field (field, ctx);
if (x != NULL)
field = x;
x = build_simple_mem_ref (ctx->receiver_decl);
x = omp_build_component_ref (x, field);
if (by_ref)
x = build_simple_mem_ref (x);
return x;
}
/* Build tree nodes to access VAR in the scope outer to CTX. In the case
of a parallel, this is a component reference; for workshare constructs
this is some variable. */
static tree
build_outer_var_ref (tree var, omp_context *ctx)
{
tree x;
if (is_global_var (maybe_lookup_decl_in_outer_ctx (var, ctx)))
x = var;
else if (is_variable_sized (var))
{
x = TREE_OPERAND (DECL_VALUE_EXPR (var), 0);
x = build_outer_var_ref (x, ctx);
x = build_simple_mem_ref (x);
}
else if (is_taskreg_ctx (ctx))
{
bool by_ref = use_pointer_for_field (var, NULL);
x = build_receiver_ref (var, by_ref, ctx);
}
else if (ctx->outer)
x = lookup_decl (var, ctx->outer);
else if (is_reference (var))
/* This can happen with orphaned constructs. If var is reference, it is
possible it is shared and as such valid. */
x = var;
else
gcc_unreachable ();
if (is_reference (var))
x = build_simple_mem_ref (x);
return x;
}
/* Build tree nodes to access the field for VAR on the sender side. */
static tree
build_sender_ref (tree var, omp_context *ctx)
{
tree field = lookup_sfield (var, ctx);
return omp_build_component_ref (ctx->sender_decl, field);
}
/* Add a new field for VAR inside the structure CTX->SENDER_DECL. */
static void
install_var_field (tree var, bool by_ref, int mask, omp_context *ctx)
{
tree field, type, sfield = NULL_TREE;
gcc_assert ((mask & 1) == 0
|| !splay_tree_lookup (ctx->field_map, (splay_tree_key) var));
gcc_assert ((mask & 2) == 0 || !ctx->sfield_map
|| !splay_tree_lookup (ctx->sfield_map, (splay_tree_key) var));
type = TREE_TYPE (var);
if (by_ref)
type = build_pointer_type (type);
else if ((mask & 3) == 1 && is_reference (var))
type = TREE_TYPE (type);
field = build_decl (DECL_SOURCE_LOCATION (var),
FIELD_DECL, DECL_NAME (var), type);
/* Remember what variable this field was created for. This does have a
side effect of making dwarf2out ignore this member, so for helpful
debugging we clear it later in delete_omp_context. */
DECL_ABSTRACT_ORIGIN (field) = var;
if (type == TREE_TYPE (var))
{
DECL_ALIGN (field) = DECL_ALIGN (var);
DECL_USER_ALIGN (field) = DECL_USER_ALIGN (var);
TREE_THIS_VOLATILE (field) = TREE_THIS_VOLATILE (var);
}
else
DECL_ALIGN (field) = TYPE_ALIGN (type);
if ((mask & 3) == 3)
{
insert_field_into_struct (ctx->record_type, field);
if (ctx->srecord_type)
{
sfield = build_decl (DECL_SOURCE_LOCATION (var),
FIELD_DECL, DECL_NAME (var), type);
DECL_ABSTRACT_ORIGIN (sfield) = var;
DECL_ALIGN (sfield) = DECL_ALIGN (field);
DECL_USER_ALIGN (sfield) = DECL_USER_ALIGN (field);
TREE_THIS_VOLATILE (sfield) = TREE_THIS_VOLATILE (field);
insert_field_into_struct (ctx->srecord_type, sfield);
}
}
else
{
if (ctx->srecord_type == NULL_TREE)
{
tree t;
ctx->srecord_type = lang_hooks.types.make_type (RECORD_TYPE);
ctx->sfield_map = splay_tree_new (splay_tree_compare_pointers, 0, 0);
for (t = TYPE_FIELDS (ctx->record_type); t ; t = TREE_CHAIN (t))
{
sfield = build_decl (DECL_SOURCE_LOCATION (var),
FIELD_DECL, DECL_NAME (t), TREE_TYPE (t));
DECL_ABSTRACT_ORIGIN (sfield) = DECL_ABSTRACT_ORIGIN (t);
insert_field_into_struct (ctx->srecord_type, sfield);
splay_tree_insert (ctx->sfield_map,
(splay_tree_key) DECL_ABSTRACT_ORIGIN (t),
(splay_tree_value) sfield);
}
}
sfield = field;
insert_field_into_struct ((mask & 1) ? ctx->record_type
: ctx->srecord_type, field);
}
if (mask & 1)
splay_tree_insert (ctx->field_map, (splay_tree_key) var,
(splay_tree_value) field);
if ((mask & 2) && ctx->sfield_map)
splay_tree_insert (ctx->sfield_map, (splay_tree_key) var,
(splay_tree_value) sfield);
}
static tree
install_var_local (tree var, omp_context *ctx)
{
tree new_var = omp_copy_decl_1 (var, ctx);
insert_decl_map (&ctx->cb, var, new_var);
return new_var;
}
/* Adjust the replacement for DECL in CTX for the new context. This means
copying the DECL_VALUE_EXPR, and fixing up the type. */
static void
fixup_remapped_decl (tree decl, omp_context *ctx, bool private_debug)
{
tree new_decl, size;
new_decl = lookup_decl (decl, ctx);
TREE_TYPE (new_decl) = remap_type (TREE_TYPE (decl), &ctx->cb);
if ((!TREE_CONSTANT (DECL_SIZE (new_decl)) || private_debug)
&& DECL_HAS_VALUE_EXPR_P (decl))
{
tree ve = DECL_VALUE_EXPR (decl);
walk_tree (&ve, copy_tree_body_r, &ctx->cb, NULL);
SET_DECL_VALUE_EXPR (new_decl, ve);
DECL_HAS_VALUE_EXPR_P (new_decl) = 1;
}
if (!TREE_CONSTANT (DECL_SIZE (new_decl)))
{
size = remap_decl (DECL_SIZE (decl), &ctx->cb);
if (size == error_mark_node)
size = TYPE_SIZE (TREE_TYPE (new_decl));
DECL_SIZE (new_decl) = size;
size = remap_decl (DECL_SIZE_UNIT (decl), &ctx->cb);
if (size == error_mark_node)
size = TYPE_SIZE_UNIT (TREE_TYPE (new_decl));
DECL_SIZE_UNIT (new_decl) = size;
}
}
/* The callback for remap_decl. Search all containing contexts for a
mapping of the variable; this avoids having to duplicate the splay
tree ahead of time. We know a mapping doesn't already exist in the
given context. Create new mappings to implement default semantics. */
static tree
omp_copy_decl (tree var, copy_body_data *cb)
{
omp_context *ctx = (omp_context *) cb;
tree new_var;
if (TREE_CODE (var) == LABEL_DECL)
{
new_var = create_artificial_label (DECL_SOURCE_LOCATION (var));
DECL_CONTEXT (new_var) = current_function_decl;
insert_decl_map (&ctx->cb, var, new_var);
return new_var;
}
while (!is_taskreg_ctx (ctx))
{
ctx = ctx->outer;
if (ctx == NULL)
return var;
new_var = maybe_lookup_decl (var, ctx);
if (new_var)
return new_var;
}
if (is_global_var (var) || decl_function_context (var) != ctx->cb.src_fn)
return var;
return error_mark_node;
}
/* Return the parallel region associated with STMT. */
/* Debugging dumps for parallel regions. */
void dump_omp_region (FILE *, struct omp_region *, int);
void debug_omp_region (struct omp_region *);
void debug_all_omp_regions (void);
/* Dump the parallel region tree rooted at REGION. */
void
dump_omp_region (FILE *file, struct omp_region *region, int indent)
{
fprintf (file, "%*sbb %d: %s\n", indent, "", region->entry->index,
gimple_code_name[region->type]);
if (region->inner)
dump_omp_region (file, region->inner, indent + 4);
if (region->cont)
{
fprintf (file, "%*sbb %d: GIMPLE_OMP_CONTINUE\n", indent, "",
region->cont->index);
}
if (region->exit)
fprintf (file, "%*sbb %d: GIMPLE_OMP_RETURN\n", indent, "",
region->exit->index);
else
fprintf (file, "%*s[no exit marker]\n", indent, "");
if (region->next)
dump_omp_region (file, region->next, indent);
}
DEBUG_FUNCTION void
debug_omp_region (struct omp_region *region)
{
dump_omp_region (stderr, region, 0);
}
DEBUG_FUNCTION void
debug_all_omp_regions (void)
{
dump_omp_region (stderr, root_omp_region, 0);
}
/* Create a new parallel region starting at STMT inside region PARENT. */
struct omp_region *
new_omp_region (basic_block bb, enum gimple_code type,
struct omp_region *parent)
{
struct omp_region *region = XCNEW (struct omp_region);
region->outer = parent;
region->entry = bb;
region->type = type;
if (parent)
{
/* This is a nested region. Add it to the list of inner
regions in PARENT. */
region->next = parent->inner;
parent->inner = region;
}
else
{
/* This is a toplevel region. Add it to the list of toplevel
regions in ROOT_OMP_REGION. */
region->next = root_omp_region;
root_omp_region = region;
}
return region;
}
/* Release the memory associated with the region tree rooted at REGION. */
static void
free_omp_region_1 (struct omp_region *region)
{
struct omp_region *i, *n;
for (i = region->inner; i ; i = n)
{
n = i->next;
free_omp_region_1 (i);
}
free (region);
}
/* Release the memory for the entire omp region tree. */
void
free_omp_regions (void)
{
struct omp_region *r, *n;
for (r = root_omp_region; r ; r = n)
{
n = r->next;
free_omp_region_1 (r);
}
root_omp_region = NULL;
}
/* Create a new context, with OUTER_CTX being the surrounding context. */
static omp_context *
new_omp_context (gimple stmt, omp_context *outer_ctx)
{
omp_context *ctx = XCNEW (omp_context);
splay_tree_insert (all_contexts, (splay_tree_key) stmt,
(splay_tree_value) ctx);
ctx->stmt = stmt;
if (outer_ctx)
{
ctx->outer = outer_ctx;
ctx->cb = outer_ctx->cb;
ctx->cb.block = NULL;
ctx->depth = outer_ctx->depth + 1;
}
else
{
ctx->cb.src_fn = current_function_decl;
ctx->cb.dst_fn = current_function_decl;
ctx->cb.src_node = cgraph_get_node (current_function_decl);
gcc_checking_assert (ctx->cb.src_node);
ctx->cb.dst_node = ctx->cb.src_node;
ctx->cb.src_cfun = cfun;
ctx->cb.copy_decl = omp_copy_decl;
ctx->cb.eh_lp_nr = 0;
ctx->cb.transform_call_graph_edges = CB_CGE_MOVE;
ctx->depth = 1;
}
ctx->cb.decl_map = pointer_map_create ();
return ctx;
}
static gimple_seq maybe_catch_exception (gimple_seq);
/* Finalize task copyfn. */
static void
finalize_task_copyfn (gimple task_stmt)
{
struct function *child_cfun;
tree child_fn, old_fn;
gimple_seq seq, new_seq;
gimple bind;
child_fn = gimple_omp_task_copy_fn (task_stmt);
if (child_fn == NULL_TREE)
return;
child_cfun = DECL_STRUCT_FUNCTION (child_fn);
/* Inform the callgraph about the new function. */
DECL_STRUCT_FUNCTION (child_fn)->curr_properties
= cfun->curr_properties;
old_fn = current_function_decl;
push_cfun (child_cfun);
current_function_decl = child_fn;
bind = gimplify_body (child_fn, false);
seq = gimple_seq_alloc ();
gimple_seq_add_stmt (&seq, bind);
new_seq = maybe_catch_exception (seq);
if (new_seq != seq)
{
bind = gimple_build_bind (NULL, new_seq, NULL);
seq = gimple_seq_alloc ();
gimple_seq_add_stmt (&seq, bind);
}
gimple_set_body (child_fn, seq);
pop_cfun ();
current_function_decl = old_fn;
cgraph_add_new_function (child_fn, false);
}
/* Destroy a omp_context data structures. Called through the splay tree
value delete callback. */
static void
delete_omp_context (splay_tree_value value)
{
omp_context *ctx = (omp_context *) value;
pointer_map_destroy (ctx->cb.decl_map);
if (ctx->field_map)
splay_tree_delete (ctx->field_map);
if (ctx->sfield_map)
splay_tree_delete (ctx->sfield_map);
/* We hijacked DECL_ABSTRACT_ORIGIN earlier. We need to clear it before
it produces corrupt debug information. */
if (ctx->record_type)
{
tree t;
for (t = TYPE_FIELDS (ctx->record_type); t ; t = DECL_CHAIN (t))
DECL_ABSTRACT_ORIGIN (t) = NULL;
}
if (ctx->srecord_type)
{
tree t;
for (t = TYPE_FIELDS (ctx->srecord_type); t ; t = DECL_CHAIN (t))
DECL_ABSTRACT_ORIGIN (t) = NULL;
}
if (is_task_ctx (ctx))
finalize_task_copyfn (ctx->stmt);
XDELETE (ctx);
}
/* Fix up RECEIVER_DECL with a type that has been remapped to the child
context. */
static void
fixup_child_record_type (omp_context *ctx)
{
tree f, type = ctx->record_type;
/* ??? It isn't sufficient to just call remap_type here, because
variably_modified_type_p doesn't work the way we expect for
record types. Testing each field for whether it needs remapping
and creating a new record by hand works, however. */
for (f = TYPE_FIELDS (type); f ; f = DECL_CHAIN (f))
if (variably_modified_type_p (TREE_TYPE (f), ctx->cb.src_fn))
break;
if (f)
{
tree name, new_fields = NULL;
type = lang_hooks.types.make_type (RECORD_TYPE);
name = DECL_NAME (TYPE_NAME (ctx->record_type));
name = build_decl (DECL_SOURCE_LOCATION (ctx->receiver_decl),
TYPE_DECL, name, type);
TYPE_NAME (type) = name;
for (f = TYPE_FIELDS (ctx->record_type); f ; f = DECL_CHAIN (f))
{
tree new_f = copy_node (f);
DECL_CONTEXT (new_f) = type;
TREE_TYPE (new_f) = remap_type (TREE_TYPE (f), &ctx->cb);
DECL_CHAIN (new_f) = new_fields;
walk_tree (&DECL_SIZE (new_f), copy_tree_body_r, &ctx->cb, NULL);
walk_tree (&DECL_SIZE_UNIT (new_f), copy_tree_body_r,
&ctx->cb, NULL);
walk_tree (&DECL_FIELD_OFFSET (new_f), copy_tree_body_r,
&ctx->cb, NULL);
new_fields = new_f;
/* Arrange to be able to look up the receiver field
given the sender field. */
splay_tree_insert (ctx->field_map, (splay_tree_key) f,
(splay_tree_value) new_f);
}
TYPE_FIELDS (type) = nreverse (new_fields);
layout_type (type);
}
TREE_TYPE (ctx->receiver_decl) = build_pointer_type (type);
}
/* Instantiate decls as necessary in CTX to satisfy the data sharing
specified by CLAUSES. */
static void
scan_sharing_clauses (tree clauses, omp_context *ctx)
{
tree c, decl;
bool scan_array_reductions = false;
for (c = clauses; c; c = OMP_CLAUSE_CHAIN (c))
{
bool by_ref;
switch (OMP_CLAUSE_CODE (c))
{
case OMP_CLAUSE_PRIVATE:
decl = OMP_CLAUSE_DECL (c);
if (OMP_CLAUSE_PRIVATE_OUTER_REF (c))
goto do_private;
else if (!is_variable_sized (decl))
install_var_local (decl, ctx);
break;
case OMP_CLAUSE_SHARED:
gcc_assert (is_taskreg_ctx (ctx));
decl = OMP_CLAUSE_DECL (c);
gcc_assert (!COMPLETE_TYPE_P (TREE_TYPE (decl))
|| !is_variable_sized (decl));
/* Global variables don't need to be copied,
the receiver side will use them directly. */
if (is_global_var (maybe_lookup_decl_in_outer_ctx (decl, ctx)))
break;
by_ref = use_pointer_for_field (decl, ctx);
if (! TREE_READONLY (decl)
|| TREE_ADDRESSABLE (decl)
|| by_ref
|| is_reference (decl))
{
install_var_field (decl, by_ref, 3, ctx);
install_var_local (decl, ctx);
break;
}
/* We don't need to copy const scalar vars back. */
OMP_CLAUSE_SET_CODE (c, OMP_CLAUSE_FIRSTPRIVATE);
goto do_private;
case OMP_CLAUSE_LASTPRIVATE:
/* Let the corresponding firstprivate clause create
the variable. */
if (OMP_CLAUSE_LASTPRIVATE_FIRSTPRIVATE (c))
break;
/* FALLTHRU */
case OMP_CLAUSE_FIRSTPRIVATE:
case OMP_CLAUSE_REDUCTION:
decl = OMP_CLAUSE_DECL (c);
do_private:
if (is_variable_sized (decl))
{
if (is_task_ctx (ctx))
install_var_field (decl, false, 1, ctx);
break;
}
else if (is_taskreg_ctx (ctx))
{
bool global
= is_global_var (maybe_lookup_decl_in_outer_ctx (decl, ctx));
by_ref = use_pointer_for_field (decl, NULL);
if (is_task_ctx (ctx)
&& (global || by_ref || is_reference (decl)))
{
install_var_field (decl, false, 1, ctx);
if (!global)
install_var_field (decl, by_ref, 2, ctx);
}
else if (!global)
install_var_field (decl, by_ref, 3, ctx);
}
install_var_local (decl, ctx);
break;
case OMP_CLAUSE_COPYPRIVATE:
case OMP_CLAUSE_COPYIN:
decl = OMP_CLAUSE_DECL (c);
by_ref = use_pointer_for_field (decl, NULL);
install_var_field (decl, by_ref, 3, ctx);
break;
case OMP_CLAUSE_DEFAULT:
ctx->default_kind = OMP_CLAUSE_DEFAULT_KIND (c);
break;
case OMP_CLAUSE_FINAL:
case OMP_CLAUSE_IF:
case OMP_CLAUSE_NUM_THREADS:
case OMP_CLAUSE_SCHEDULE:
if (ctx->outer)
scan_omp_op (&OMP_CLAUSE_OPERAND (c, 0), ctx->outer);
break;
case OMP_CLAUSE_NOWAIT:
case OMP_CLAUSE_ORDERED:
case OMP_CLAUSE_COLLAPSE:
case OMP_CLAUSE_UNTIED:
case OMP_CLAUSE_MERGEABLE:
break;
default:
gcc_unreachable ();
}
}
for (c = clauses; c; c = OMP_CLAUSE_CHAIN (c))
{
switch (OMP_CLAUSE_CODE (c))
{
case OMP_CLAUSE_LASTPRIVATE:
/* Let the corresponding firstprivate clause create
the variable. */
if (OMP_CLAUSE_LASTPRIVATE_GIMPLE_SEQ (c))
scan_array_reductions = true;
if (OMP_CLAUSE_LASTPRIVATE_FIRSTPRIVATE (c))
break;
/* FALLTHRU */
case OMP_CLAUSE_PRIVATE:
case OMP_CLAUSE_FIRSTPRIVATE:
case OMP_CLAUSE_REDUCTION:
decl = OMP_CLAUSE_DECL (c);
if (is_variable_sized (decl))
install_var_local (decl, ctx);
fixup_remapped_decl (decl, ctx,
OMP_CLAUSE_CODE (c) == OMP_CLAUSE_PRIVATE
&& OMP_CLAUSE_PRIVATE_DEBUG (c));
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_REDUCTION
&& OMP_CLAUSE_REDUCTION_PLACEHOLDER (c))
scan_array_reductions = true;
break;
case OMP_CLAUSE_SHARED:
decl = OMP_CLAUSE_DECL (c);
if (! is_global_var (maybe_lookup_decl_in_outer_ctx (decl, ctx)))
fixup_remapped_decl (decl, ctx, false);
break;
case OMP_CLAUSE_COPYPRIVATE:
case OMP_CLAUSE_COPYIN:
case OMP_CLAUSE_DEFAULT:
case OMP_CLAUSE_IF:
case OMP_CLAUSE_NUM_THREADS:
case OMP_CLAUSE_SCHEDULE:
case OMP_CLAUSE_NOWAIT:
case OMP_CLAUSE_ORDERED:
case OMP_CLAUSE_COLLAPSE:
case OMP_CLAUSE_UNTIED:
case OMP_CLAUSE_FINAL:
case OMP_CLAUSE_MERGEABLE:
break;
default:
gcc_unreachable ();
}
}
if (scan_array_reductions)
for (c = clauses; c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_REDUCTION
&& OMP_CLAUSE_REDUCTION_PLACEHOLDER (c))
{
scan_omp (OMP_CLAUSE_REDUCTION_GIMPLE_INIT (c), ctx);
scan_omp (OMP_CLAUSE_REDUCTION_GIMPLE_MERGE (c), ctx);
}
else if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_LASTPRIVATE
&& OMP_CLAUSE_LASTPRIVATE_GIMPLE_SEQ (c))
scan_omp (OMP_CLAUSE_LASTPRIVATE_GIMPLE_SEQ (c), ctx);
}
/* Create a new name for omp child function. Returns an identifier. */
static GTY(()) unsigned int tmp_ompfn_id_num;
static tree
create_omp_child_function_name (bool task_copy)
{
return (clone_function_name (current_function_decl,
task_copy ? "_omp_cpyfn" : "_omp_fn"));
}
/* Build a decl for the omp child function. It'll not contain a body
yet, just the bare decl. */
static void
create_omp_child_function (omp_context *ctx, bool task_copy)
{
tree decl, type, name, t;
name = create_omp_child_function_name (task_copy);
if (task_copy)
type = build_function_type_list (void_type_node, ptr_type_node,
ptr_type_node, NULL_TREE);
else
type = build_function_type_list (void_type_node, ptr_type_node, NULL_TREE);
decl = build_decl (gimple_location (ctx->stmt),
FUNCTION_DECL, name, type);
if (!task_copy)
ctx->cb.dst_fn = decl;
else
gimple_omp_task_set_copy_fn (ctx->stmt, decl);
TREE_STATIC (decl) = 1;
TREE_USED (decl) = 1;
DECL_ARTIFICIAL (decl) = 1;
DECL_NAMELESS (decl) = 1;
DECL_IGNORED_P (decl) = 0;
TREE_PUBLIC (decl) = 0;
DECL_UNINLINABLE (decl) = 1;
DECL_EXTERNAL (decl) = 0;
DECL_CONTEXT (decl) = NULL_TREE;
DECL_INITIAL (decl) = make_node (BLOCK);
t = build_decl (DECL_SOURCE_LOCATION (decl),
RESULT_DECL, NULL_TREE, void_type_node);
DECL_ARTIFICIAL (t) = 1;
DECL_IGNORED_P (t) = 1;
DECL_CONTEXT (t) = decl;
DECL_RESULT (decl) = t;
t = build_decl (DECL_SOURCE_LOCATION (decl),
PARM_DECL, get_identifier (".omp_data_i"), ptr_type_node);
DECL_ARTIFICIAL (t) = 1;
DECL_NAMELESS (t) = 1;
DECL_ARG_TYPE (t) = ptr_type_node;
DECL_CONTEXT (t) = current_function_decl;
TREE_USED (t) = 1;
DECL_ARGUMENTS (decl) = t;
if (!task_copy)
ctx->receiver_decl = t;
else
{
t = build_decl (DECL_SOURCE_LOCATION (decl),
PARM_DECL, get_identifier (".omp_data_o"),
ptr_type_node);
DECL_ARTIFICIAL (t) = 1;
DECL_NAMELESS (t) = 1;
DECL_ARG_TYPE (t) = ptr_type_node;
DECL_CONTEXT (t) = current_function_decl;
TREE_USED (t) = 1;
TREE_ADDRESSABLE (t) = 1;
DECL_CHAIN (t) = DECL_ARGUMENTS (decl);
DECL_ARGUMENTS (decl) = t;
}
/* Allocate memory for the function structure. The call to
allocate_struct_function clobbers CFUN, so we need to restore
it afterward. */
push_struct_function (decl);
cfun->function_end_locus = gimple_location (ctx->stmt);
pop_cfun ();
}
/* Scan an OpenMP parallel directive. */
static void
scan_omp_parallel (gimple_stmt_iterator *gsi, omp_context *outer_ctx)
{
omp_context *ctx;
tree name;
gimple stmt = gsi_stmt (*gsi);
/* Ignore parallel directives with empty bodies, unless there
are copyin clauses. */
if (optimize > 0
&& empty_body_p (gimple_omp_body (stmt))
&& find_omp_clause (gimple_omp_parallel_clauses (stmt),
OMP_CLAUSE_COPYIN) == NULL)
{
gsi_replace (gsi, gimple_build_nop (), false);
return;
}
ctx = new_omp_context (stmt, outer_ctx);
if (taskreg_nesting_level > 1)
ctx->is_nested = true;
ctx->field_map = splay_tree_new (splay_tree_compare_pointers, 0, 0);
ctx->default_kind = OMP_CLAUSE_DEFAULT_SHARED;
ctx->record_type = lang_hooks.types.make_type (RECORD_TYPE);
name = create_tmp_var_name (".omp_data_s");
name = build_decl (gimple_location (stmt),
TYPE_DECL, name, ctx->record_type);
DECL_ARTIFICIAL (name) = 1;
DECL_NAMELESS (name) = 1;
TYPE_NAME (ctx->record_type) = name;
create_omp_child_function (ctx, false);
gimple_omp_parallel_set_child_fn (stmt, ctx->cb.dst_fn);
scan_sharing_clauses (gimple_omp_parallel_clauses (stmt), ctx);
scan_omp (gimple_omp_body (stmt), ctx);
if (TYPE_FIELDS (ctx->record_type) == NULL)
ctx->record_type = ctx->receiver_decl = NULL;
else
{
layout_type (ctx->record_type);
fixup_child_record_type (ctx);
}
}
/* Scan an OpenMP task directive. */
static void
scan_omp_task (gimple_stmt_iterator *gsi, omp_context *outer_ctx)
{
omp_context *ctx;
tree name, t;
gimple stmt = gsi_stmt (*gsi);
location_t loc = gimple_location (stmt);
/* Ignore task directives with empty bodies. */
if (optimize > 0
&& empty_body_p (gimple_omp_body (stmt)))
{
gsi_replace (gsi, gimple_build_nop (), false);
return;
}
ctx = new_omp_context (stmt, outer_ctx);
if (taskreg_nesting_level > 1)
ctx->is_nested = true;
ctx->field_map = splay_tree_new (splay_tree_compare_pointers, 0, 0);
ctx->default_kind = OMP_CLAUSE_DEFAULT_SHARED;
ctx->record_type = lang_hooks.types.make_type (RECORD_TYPE);
name = create_tmp_var_name (".omp_data_s");
name = build_decl (gimple_location (stmt),
TYPE_DECL, name, ctx->record_type);
DECL_ARTIFICIAL (name) = 1;
DECL_NAMELESS (name) = 1;
TYPE_NAME (ctx->record_type) = name;
create_omp_child_function (ctx, false);
gimple_omp_task_set_child_fn (stmt, ctx->cb.dst_fn);
scan_sharing_clauses (gimple_omp_task_clauses (stmt), ctx);
if (ctx->srecord_type)
{
name = create_tmp_var_name (".omp_data_a");
name = build_decl (gimple_location (stmt),
TYPE_DECL, name, ctx->srecord_type);
DECL_ARTIFICIAL (name) = 1;
DECL_NAMELESS (name) = 1;
TYPE_NAME (ctx->srecord_type) = name;
create_omp_child_function (ctx, true);
}
scan_omp (gimple_omp_body (stmt), ctx);
if (TYPE_FIELDS (ctx->record_type) == NULL)
{
ctx->record_type = ctx->receiver_decl = NULL;
t = build_int_cst (long_integer_type_node, 0);
gimple_omp_task_set_arg_size (stmt, t);
t = build_int_cst (long_integer_type_node, 1);
gimple_omp_task_set_arg_align (stmt, t);
}
else
{
tree *p, vla_fields = NULL_TREE, *q = &vla_fields;
/* Move VLA fields to the end. */
p = &TYPE_FIELDS (ctx->record_type);
while (*p)
if (!TYPE_SIZE_UNIT (TREE_TYPE (*p))
|| ! TREE_CONSTANT (TYPE_SIZE_UNIT (TREE_TYPE (*p))))
{
*q = *p;
*p = TREE_CHAIN (*p);
TREE_CHAIN (*q) = NULL_TREE;
q = &TREE_CHAIN (*q);
}
else
p = &DECL_CHAIN (*p);
*p = vla_fields;
layout_type (ctx->record_type);
fixup_child_record_type (ctx);
if (ctx->srecord_type)
layout_type (ctx->srecord_type);
t = fold_convert_loc (loc, long_integer_type_node,
TYPE_SIZE_UNIT (ctx->record_type));
gimple_omp_task_set_arg_size (stmt, t);
t = build_int_cst (long_integer_type_node,
TYPE_ALIGN_UNIT (ctx->record_type));
gimple_omp_task_set_arg_align (stmt, t);
}
}
/* Scan an OpenMP loop directive. */
static void
scan_omp_for (gimple stmt, omp_context *outer_ctx)
{
omp_context *ctx;
size_t i;
ctx = new_omp_context (stmt, outer_ctx);
scan_sharing_clauses (gimple_omp_for_clauses (stmt), ctx);
scan_omp (gimple_omp_for_pre_body (stmt), ctx);
for (i = 0; i < gimple_omp_for_collapse (stmt); i++)
{
scan_omp_op (gimple_omp_for_index_ptr (stmt, i), ctx);
scan_omp_op (gimple_omp_for_initial_ptr (stmt, i), ctx);
scan_omp_op (gimple_omp_for_final_ptr (stmt, i), ctx);
scan_omp_op (gimple_omp_for_incr_ptr (stmt, i), ctx);
}
scan_omp (gimple_omp_body (stmt), ctx);
}
/* Scan an OpenMP sections directive. */
static void
scan_omp_sections (gimple stmt, omp_context *outer_ctx)
{
omp_context *ctx;
ctx = new_omp_context (stmt, outer_ctx);
scan_sharing_clauses (gimple_omp_sections_clauses (stmt), ctx);
scan_omp (gimple_omp_body (stmt), ctx);
}
/* Scan an OpenMP single directive. */
static void
scan_omp_single (gimple stmt, omp_context *outer_ctx)
{
omp_context *ctx;
tree name;
ctx = new_omp_context (stmt, outer_ctx);
ctx->field_map = splay_tree_new (splay_tree_compare_pointers, 0, 0);
ctx->record_type = lang_hooks.types.make_type (RECORD_TYPE);
name = create_tmp_var_name (".omp_copy_s");
name = build_decl (gimple_location (stmt),
TYPE_DECL, name, ctx->record_type);
TYPE_NAME (ctx->record_type) = name;
scan_sharing_clauses (gimple_omp_single_clauses (stmt), ctx);
scan_omp (gimple_omp_body (stmt), ctx);
if (TYPE_FIELDS (ctx->record_type) == NULL)
ctx->record_type = NULL;
else
layout_type (ctx->record_type);
}
/* Check OpenMP nesting restrictions. */
static bool
check_omp_nesting_restrictions (gimple stmt, omp_context *ctx)
{
switch (gimple_code (stmt))
{
case GIMPLE_OMP_FOR:
case GIMPLE_OMP_SECTIONS:
case GIMPLE_OMP_SINGLE:
case GIMPLE_CALL:
for (; ctx != NULL; ctx = ctx->outer)
switch (gimple_code (ctx->stmt))
{
case GIMPLE_OMP_FOR:
case GIMPLE_OMP_SECTIONS:
case GIMPLE_OMP_SINGLE:
case GIMPLE_OMP_ORDERED:
case GIMPLE_OMP_MASTER:
case GIMPLE_OMP_TASK:
if (is_gimple_call (stmt))
{
error_at (gimple_location (stmt),
"barrier region may not be closely nested inside "
"of work-sharing, critical, ordered, master or "
"explicit task region");
return false;
}
error_at (gimple_location (stmt),
"work-sharing region may not be closely nested inside "
"of work-sharing, critical, ordered, master or explicit "
"task region");
return false;
case GIMPLE_OMP_PARALLEL:
return true;
default:
break;
}
break;
case GIMPLE_OMP_MASTER:
for (; ctx != NULL; ctx = ctx->outer)
switch (gimple_code (ctx->stmt))
{
case GIMPLE_OMP_FOR:
case GIMPLE_OMP_SECTIONS:
case GIMPLE_OMP_SINGLE:
case GIMPLE_OMP_TASK:
error_at (gimple_location (stmt),
"master region may not be closely nested inside "
"of work-sharing or explicit task region");
return false;
case GIMPLE_OMP_PARALLEL:
return true;
default:
break;
}
break;
case GIMPLE_OMP_ORDERED:
for (; ctx != NULL; ctx = ctx->outer)
switch (gimple_code (ctx->stmt))
{
case GIMPLE_OMP_CRITICAL:
case GIMPLE_OMP_TASK:
error_at (gimple_location (stmt),
"ordered region may not be closely nested inside "
"of critical or explicit task region");
return false;
case GIMPLE_OMP_FOR:
if (find_omp_clause (gimple_omp_for_clauses (ctx->stmt),
OMP_CLAUSE_ORDERED) == NULL)
{
error_at (gimple_location (stmt),
"ordered region must be closely nested inside "
"a loop region with an ordered clause");
return false;
}
return true;
case GIMPLE_OMP_PARALLEL:
return true;
default:
break;
}
break;
case GIMPLE_OMP_CRITICAL:
for (; ctx != NULL; ctx = ctx->outer)
if (gimple_code (ctx->stmt) == GIMPLE_OMP_CRITICAL
&& (gimple_omp_critical_name (stmt)
== gimple_omp_critical_name (ctx->stmt)))
{
error_at (gimple_location (stmt),
"critical region may not be nested inside a critical "
"region with the same name");
return false;
}
break;
default:
break;
}
return true;
}
/* Helper function scan_omp.
Callback for walk_tree or operators in walk_gimple_stmt used to
scan for OpenMP directives in TP. */
static tree
scan_omp_1_op (tree *tp, int *walk_subtrees, void *data)
{
struct walk_stmt_info *wi = (struct walk_stmt_info *) data;
omp_context *ctx = (omp_context *) wi->info;
tree t = *tp;
switch (TREE_CODE (t))
{
case VAR_DECL:
case PARM_DECL:
case LABEL_DECL:
case RESULT_DECL:
if (ctx)
*tp = remap_decl (t, &ctx->cb);
break;
default:
if (ctx && TYPE_P (t))
*tp = remap_type (t, &ctx->cb);
else if (!DECL_P (t))
{
*walk_subtrees = 1;
if (ctx)
{
tree tem = remap_type (TREE_TYPE (t), &ctx->cb);
if (tem != TREE_TYPE (t))
{
if (TREE_CODE (t) == INTEGER_CST)
*tp = build_int_cst_wide (tem,
TREE_INT_CST_LOW (t),
TREE_INT_CST_HIGH (t));
else
TREE_TYPE (t) = tem;
}
}
}
break;
}
return NULL_TREE;
}
/* Helper function for scan_omp.
Callback for walk_gimple_stmt used to scan for OpenMP directives in
the current statement in GSI. */
static tree
scan_omp_1_stmt (gimple_stmt_iterator *gsi, bool *handled_ops_p,
struct walk_stmt_info *wi)
{
gimple stmt = gsi_stmt (*gsi);
omp_context *ctx = (omp_context *) wi->info;
if (gimple_has_location (stmt))
input_location = gimple_location (stmt);
/* Check the OpenMP nesting restrictions. */
if (ctx != NULL)
{
bool remove = false;
if (is_gimple_omp (stmt))
remove = !check_omp_nesting_restrictions (stmt, ctx);
else if (is_gimple_call (stmt))
{
tree fndecl = gimple_call_fndecl (stmt);
if (fndecl && DECL_BUILT_IN_CLASS (fndecl) == BUILT_IN_NORMAL
&& DECL_FUNCTION_CODE (fndecl) == BUILT_IN_GOMP_BARRIER)
remove = !check_omp_nesting_restrictions (stmt, ctx);
}
if (remove)
{
stmt = gimple_build_nop ();
gsi_replace (gsi, stmt, false);
}
}
*handled_ops_p = true;
switch (gimple_code (stmt))
{
case GIMPLE_OMP_PARALLEL:
taskreg_nesting_level++;
scan_omp_parallel (gsi, ctx);
taskreg_nesting_level--;
break;
case GIMPLE_OMP_TASK:
taskreg_nesting_level++;
scan_omp_task (gsi, ctx);
taskreg_nesting_level--;
break;
case GIMPLE_OMP_FOR:
scan_omp_for (stmt, ctx);
break;
case GIMPLE_OMP_SECTIONS:
scan_omp_sections (stmt, ctx);
break;
case GIMPLE_OMP_SINGLE:
scan_omp_single (stmt, ctx);
break;
case GIMPLE_OMP_SECTION:
case GIMPLE_OMP_MASTER:
case GIMPLE_OMP_ORDERED:
case GIMPLE_OMP_CRITICAL:
ctx = new_omp_context (stmt, ctx);
scan_omp (gimple_omp_body (stmt), ctx);
break;
case GIMPLE_BIND:
{
tree var;
*handled_ops_p = false;
if (ctx)
for (var = gimple_bind_vars (stmt); var ; var = DECL_CHAIN (var))
insert_decl_map (&ctx->cb, var, var);
}
break;
default:
*handled_ops_p = false;
break;
}
return NULL_TREE;
}
/* Scan all the statements starting at the current statement. CTX
contains context information about the OpenMP directives and
clauses found during the scan. */
static void
scan_omp (gimple_seq body, omp_context *ctx)
{
location_t saved_location;
struct walk_stmt_info wi;
memset (&wi, 0, sizeof (wi));
wi.info = ctx;
wi.want_locations = true;
saved_location = input_location;
walk_gimple_seq (body, scan_omp_1_stmt, scan_omp_1_op, &wi);
input_location = saved_location;
}
/* Re-gimplification and code generation routines. */
/* Build a call to GOMP_barrier. */
static tree
build_omp_barrier (void)
{
return build_call_expr (builtin_decl_explicit (BUILT_IN_GOMP_BARRIER), 0);
}
/* If a context was created for STMT when it was scanned, return it. */
static omp_context *
maybe_lookup_ctx (gimple stmt)
{
splay_tree_node n;
n = splay_tree_lookup (all_contexts, (splay_tree_key) stmt);
return n ? (omp_context *) n->value : NULL;
}
/* Find the mapping for DECL in CTX or the immediately enclosing
context that has a mapping for DECL.
If CTX is a nested parallel directive, we may have to use the decl
mappings created in CTX's parent context. Suppose that we have the
following parallel nesting (variable UIDs showed for clarity):
iD.1562 = 0;
#omp parallel shared(iD.1562) -> outer parallel
iD.1562 = iD.1562 + 1;
#omp parallel shared (iD.1562) -> inner parallel
iD.1562 = iD.1562 - 1;
Each parallel structure will create a distinct .omp_data_s structure
for copying iD.1562 in/out of the directive:
outer parallel .omp_data_s.1.i -> iD.1562
inner parallel .omp_data_s.2.i -> iD.1562
A shared variable mapping will produce a copy-out operation before
the parallel directive and a copy-in operation after it. So, in
this case we would have:
iD.1562 = 0;
.omp_data_o.1.i = iD.1562;
#omp parallel shared(iD.1562) -> outer parallel
.omp_data_i.1 = &.omp_data_o.1
.omp_data_i.1->i = .omp_data_i.1->i + 1;
.omp_data_o.2.i = iD.1562; -> **
#omp parallel shared(iD.1562) -> inner parallel
.omp_data_i.2 = &.omp_data_o.2
.omp_data_i.2->i = .omp_data_i.2->i - 1;
** This is a problem. The symbol iD.1562 cannot be referenced
inside the body of the outer parallel region. But since we are
emitting this copy operation while expanding the inner parallel
directive, we need to access the CTX structure of the outer
parallel directive to get the correct mapping:
.omp_data_o.2.i = .omp_data_i.1->i
Since there may be other workshare or parallel directives enclosing
the parallel directive, it may be necessary to walk up the context
parent chain. This is not a problem in general because nested
parallelism happens only rarely. */
static tree
lookup_decl_in_outer_ctx (tree decl, omp_context *ctx)
{
tree t;
omp_context *up;
for (up = ctx->outer, t = NULL; up && t == NULL; up = up->outer)
t = maybe_lookup_decl (decl, up);
gcc_assert (!ctx->is_nested || t || is_global_var (decl));
return t ? t : decl;
}
/* Similar to lookup_decl_in_outer_ctx, but return DECL if not found
in outer contexts. */
static tree
maybe_lookup_decl_in_outer_ctx (tree decl, omp_context *ctx)
{
tree t = NULL;
omp_context *up;
for (up = ctx->outer, t = NULL; up && t == NULL; up = up->outer)
t = maybe_lookup_decl (decl, up);
return t ? t : decl;
}
/* Construct the initialization value for reduction CLAUSE. */
tree
omp_reduction_init (tree clause, tree type)
{
location_t loc = OMP_CLAUSE_LOCATION (clause);
switch (OMP_CLAUSE_REDUCTION_CODE (clause))
{
case PLUS_EXPR:
case MINUS_EXPR:
case BIT_IOR_EXPR:
case BIT_XOR_EXPR:
case TRUTH_OR_EXPR:
case TRUTH_ORIF_EXPR:
case TRUTH_XOR_EXPR:
case NE_EXPR:
return build_zero_cst (type);
case MULT_EXPR:
case TRUTH_AND_EXPR:
case TRUTH_ANDIF_EXPR:
case EQ_EXPR:
return fold_convert_loc (loc, type, integer_one_node);
case BIT_AND_EXPR:
return fold_convert_loc (loc, type, integer_minus_one_node);
case MAX_EXPR:
if (SCALAR_FLOAT_TYPE_P (type))
{
REAL_VALUE_TYPE max, min;
if (HONOR_INFINITIES (TYPE_MODE (type)))
{
real_inf (&max);
real_arithmetic (&min, NEGATE_EXPR, &max, NULL);
}
else
real_maxval (&min, 1, TYPE_MODE (type));
return build_real (type, min);
}
else
{
gcc_assert (INTEGRAL_TYPE_P (type));
return TYPE_MIN_VALUE (type);
}
case MIN_EXPR:
if (SCALAR_FLOAT_TYPE_P (type))
{
REAL_VALUE_TYPE max;
if (HONOR_INFINITIES (TYPE_MODE (type)))
real_inf (&max);
else
real_maxval (&max, 0, TYPE_MODE (type));
return build_real (type, max);
}
else
{
gcc_assert (INTEGRAL_TYPE_P (type));
return TYPE_MAX_VALUE (type);
}
default:
gcc_unreachable ();
}
}
/* Generate code to implement the input clauses, FIRSTPRIVATE and COPYIN,
from the receiver (aka child) side and initializers for REFERENCE_TYPE
private variables. Initialization statements go in ILIST, while calls
to destructors go in DLIST. */
static void
lower_rec_input_clauses (tree clauses, gimple_seq *ilist, gimple_seq *dlist,
omp_context *ctx)
{
gimple_stmt_iterator diter;
tree c, dtor, copyin_seq, x, ptr;
bool copyin_by_ref = false;
bool lastprivate_firstprivate = false;
int pass;
*dlist = gimple_seq_alloc ();
diter = gsi_start (*dlist);
copyin_seq = NULL;
/* Do all the fixed sized types in the first pass, and the variable sized
types in the second pass. This makes sure that the scalar arguments to
the variable sized types are processed before we use them in the
variable sized operations. */
for (pass = 0; pass < 2; ++pass)
{
for (c = clauses; c ; c = OMP_CLAUSE_CHAIN (c))
{
enum omp_clause_code c_kind = OMP_CLAUSE_CODE (c);
tree var, new_var;
bool by_ref;
location_t clause_loc = OMP_CLAUSE_LOCATION (c);
switch (c_kind)
{
case OMP_CLAUSE_PRIVATE:
if (OMP_CLAUSE_PRIVATE_DEBUG (c))
continue;
break;
case OMP_CLAUSE_SHARED:
if (maybe_lookup_decl (OMP_CLAUSE_DECL (c), ctx) == NULL)
{
gcc_assert (is_global_var (OMP_CLAUSE_DECL (c)));
continue;
}
case OMP_CLAUSE_FIRSTPRIVATE:
case OMP_CLAUSE_COPYIN:
case OMP_CLAUSE_REDUCTION:
break;
case OMP_CLAUSE_LASTPRIVATE:
if (OMP_CLAUSE_LASTPRIVATE_FIRSTPRIVATE (c))
{
lastprivate_firstprivate = true;
if (pass != 0)
continue;
}
break;
default:
continue;
}
new_var = var = OMP_CLAUSE_DECL (c);
if (c_kind != OMP_CLAUSE_COPYIN)
new_var = lookup_decl (var, ctx);
if (c_kind == OMP_CLAUSE_SHARED || c_kind == OMP_CLAUSE_COPYIN)
{
if (pass != 0)
continue;
}
else if (is_variable_sized (var))
{
/* For variable sized types, we need to allocate the
actual storage here. Call alloca and store the
result in the pointer decl that we created elsewhere. */
if (pass == 0)
continue;
if (c_kind != OMP_CLAUSE_FIRSTPRIVATE || !is_task_ctx (ctx))
{
gimple stmt;
tree tmp, atmp;
ptr = DECL_VALUE_EXPR (new_var);
gcc_assert (TREE_CODE (ptr) == INDIRECT_REF);
ptr = TREE_OPERAND (ptr, 0);
gcc_assert (DECL_P (ptr));
x = TYPE_SIZE_UNIT (TREE_TYPE (new_var));
/* void *tmp = __builtin_alloca */
atmp = builtin_decl_explicit (BUILT_IN_ALLOCA);
stmt = gimple_build_call (atmp, 1, x);
tmp = create_tmp_var_raw (ptr_type_node, NULL);
gimple_add_tmp_var (tmp);
gimple_call_set_lhs (stmt, tmp);
gimple_seq_add_stmt (ilist, stmt);
x = fold_convert_loc (clause_loc, TREE_TYPE (ptr), tmp);
gimplify_assign (ptr, x, ilist);
}
}
else if (is_reference (var))
{
/* For references that are being privatized for Fortran,
allocate new backing storage for the new pointer
variable. This allows us to avoid changing all the
code that expects a pointer to something that expects
a direct variable. Note that this doesn't apply to
C++, since reference types are disallowed in data
sharing clauses there, except for NRV optimized
return values. */
if (pass == 0)
continue;
x = TYPE_SIZE_UNIT (TREE_TYPE (TREE_TYPE (new_var)));
if (c_kind == OMP_CLAUSE_FIRSTPRIVATE && is_task_ctx (ctx))
{
x = build_receiver_ref (var, false, ctx);
x = build_fold_addr_expr_loc (clause_loc, x);
}
else if (TREE_CONSTANT (x))
{
const char *name = NULL;
if (DECL_NAME (var))
name = IDENTIFIER_POINTER (DECL_NAME (new_var));
x = create_tmp_var_raw (TREE_TYPE (TREE_TYPE (new_var)),
name);
gimple_add_tmp_var (x);
TREE_ADDRESSABLE (x) = 1;
x = build_fold_addr_expr_loc (clause_loc, x);
}
else
{
tree atmp = builtin_decl_explicit (BUILT_IN_ALLOCA);
x = build_call_expr_loc (clause_loc, atmp, 1, x);
}
x = fold_convert_loc (clause_loc, TREE_TYPE (new_var), x);
gimplify_assign (new_var, x, ilist);
new_var = build_simple_mem_ref_loc (clause_loc, new_var);
}
else if (c_kind == OMP_CLAUSE_REDUCTION
&& OMP_CLAUSE_REDUCTION_PLACEHOLDER (c))
{
if (pass == 0)
continue;
}
else if (pass != 0)
continue;
switch (OMP_CLAUSE_CODE (c))
{
case OMP_CLAUSE_SHARED:
/* Shared global vars are just accessed directly. */
if (is_global_var (new_var))
break;
/* Set up the DECL_VALUE_EXPR for shared variables now. This
needs to be delayed until after fixup_child_record_type so
that we get the correct type during the dereference. */
by_ref = use_pointer_for_field (var, ctx);
x = build_receiver_ref (var, by_ref, ctx);
SET_DECL_VALUE_EXPR (new_var, x);
DECL_HAS_VALUE_EXPR_P (new_var) = 1;
/* ??? If VAR is not passed by reference, and the variable
hasn't been initialized yet, then we'll get a warning for
the store into the omp_data_s structure. Ideally, we'd be
able to notice this and not store anything at all, but
we're generating code too early. Suppress the warning. */
if (!by_ref)
TREE_NO_WARNING (var) = 1;
break;
case OMP_CLAUSE_LASTPRIVATE:
if (OMP_CLAUSE_LASTPRIVATE_FIRSTPRIVATE (c))
break;
/* FALLTHRU */
case OMP_CLAUSE_PRIVATE:
if (OMP_CLAUSE_CODE (c) != OMP_CLAUSE_PRIVATE)
x = build_outer_var_ref (var, ctx);
else if (OMP_CLAUSE_PRIVATE_OUTER_REF (c))
{
if (is_task_ctx (ctx))
x = build_receiver_ref (var, false, ctx);
else
x = build_outer_var_ref (var, ctx);
}
else
x = NULL;
x = lang_hooks.decls.omp_clause_default_ctor (c, new_var, x);
if (x)
gimplify_and_add (x, ilist);
/* FALLTHRU */
do_dtor:
x = lang_hooks.decls.omp_clause_dtor (c, new_var);
if (x)
{
gimple_seq tseq = NULL;
dtor = x;
gimplify_stmt (&dtor, &tseq);
gsi_insert_seq_before (&diter, tseq, GSI_SAME_STMT);
}
break;
case OMP_CLAUSE_FIRSTPRIVATE:
if (is_task_ctx (ctx))
{
if (is_reference (var) || is_variable_sized (var))
goto do_dtor;
else if (is_global_var (maybe_lookup_decl_in_outer_ctx (var,
ctx))
|| use_pointer_for_field (var, NULL))
{
x = build_receiver_ref (var, false, ctx);
SET_DECL_VALUE_EXPR (new_var, x);
DECL_HAS_VALUE_EXPR_P (new_var) = 1;
goto do_dtor;
}
}
x = build_outer_var_ref (var, ctx);
x = lang_hooks.decls.omp_clause_copy_ctor (c, new_var, x);
gimplify_and_add (x, ilist);
goto do_dtor;
break;
case OMP_CLAUSE_COPYIN:
by_ref = use_pointer_for_field (var, NULL);
x = build_receiver_ref (var, by_ref, ctx);
x = lang_hooks.decls.omp_clause_assign_op (c, new_var, x);
append_to_statement_list (x, ©in_seq);
copyin_by_ref |= by_ref;
break;
case OMP_CLAUSE_REDUCTION:
if (OMP_CLAUSE_REDUCTION_PLACEHOLDER (c))
{
tree placeholder = OMP_CLAUSE_REDUCTION_PLACEHOLDER (c);
x = build_outer_var_ref (var, ctx);
if (is_reference (var))
x = build_fold_addr_expr_loc (clause_loc, x);
SET_DECL_VALUE_EXPR (placeholder, x);
DECL_HAS_VALUE_EXPR_P (placeholder) = 1;
lower_omp (OMP_CLAUSE_REDUCTION_GIMPLE_INIT (c), ctx);
gimple_seq_add_seq (ilist,
OMP_CLAUSE_REDUCTION_GIMPLE_INIT (c));
OMP_CLAUSE_REDUCTION_GIMPLE_INIT (c) = NULL;
DECL_HAS_VALUE_EXPR_P (placeholder) = 0;
}
else
{
x = omp_reduction_init (c, TREE_TYPE (new_var));
gcc_assert (TREE_CODE (TREE_TYPE (new_var)) != ARRAY_TYPE);
gimplify_assign (new_var, x, ilist);
}
break;
default:
gcc_unreachable ();
}
}
}
/* The copyin sequence is not to be executed by the main thread, since
that would result in self-copies. Perhaps not visible to scalars,
but it certainly is to C++ operator=. */
if (copyin_seq)
{
x = build_call_expr (builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM),
0);
x = build2 (NE_EXPR, boolean_type_node, x,
build_int_cst (TREE_TYPE (x), 0));
x = build3 (COND_EXPR, void_type_node, x, copyin_seq, NULL);
gimplify_and_add (x, ilist);
}
/* If any copyin variable is passed by reference, we must ensure the
master thread doesn't modify it before it is copied over in all
threads. Similarly for variables in both firstprivate and
lastprivate clauses we need to ensure the lastprivate copying
happens after firstprivate copying in all threads. */
if (copyin_by_ref || lastprivate_firstprivate)
gimplify_and_add (build_omp_barrier (), ilist);
}
/* Generate code to implement the LASTPRIVATE clauses. This is used for
both parallel and workshare constructs. PREDICATE may be NULL if it's
always true. */
static void
lower_lastprivate_clauses (tree clauses, tree predicate, gimple_seq *stmt_list,
omp_context *ctx)
{
tree x, c, label = NULL;
bool par_clauses = false;
/* Early exit if there are no lastprivate clauses. */
clauses = find_omp_clause (clauses, OMP_CLAUSE_LASTPRIVATE);
if (clauses == NULL)
{
/* If this was a workshare clause, see if it had been combined
with its parallel. In that case, look for the clauses on the
parallel statement itself. */
if (is_parallel_ctx (ctx))
return;
ctx = ctx->outer;
if (ctx == NULL || !is_parallel_ctx (ctx))
return;
clauses = find_omp_clause (gimple_omp_parallel_clauses (ctx->stmt),
OMP_CLAUSE_LASTPRIVATE);
if (clauses == NULL)
return;
par_clauses = true;
}
if (predicate)
{
gimple stmt;
tree label_true, arm1, arm2;
label = create_artificial_label (UNKNOWN_LOCATION);
label_true = create_artificial_label (UNKNOWN_LOCATION);
arm1 = TREE_OPERAND (predicate, 0);
arm2 = TREE_OPERAND (predicate, 1);
gimplify_expr (&arm1, stmt_list, NULL, is_gimple_val, fb_rvalue);
gimplify_expr (&arm2, stmt_list, NULL, is_gimple_val, fb_rvalue);
stmt = gimple_build_cond (TREE_CODE (predicate), arm1, arm2,
label_true, label);
gimple_seq_add_stmt (stmt_list, stmt);
gimple_seq_add_stmt (stmt_list, gimple_build_label (label_true));
}
for (c = clauses; c ;)
{
tree var, new_var;
location_t clause_loc = OMP_CLAUSE_LOCATION (c);
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_LASTPRIVATE)
{
var = OMP_CLAUSE_DECL (c);
new_var = lookup_decl (var, ctx);
if (OMP_CLAUSE_LASTPRIVATE_GIMPLE_SEQ (c))
{
lower_omp (OMP_CLAUSE_LASTPRIVATE_GIMPLE_SEQ (c), ctx);
gimple_seq_add_seq (stmt_list,
OMP_CLAUSE_LASTPRIVATE_GIMPLE_SEQ (c));
}
OMP_CLAUSE_LASTPRIVATE_GIMPLE_SEQ (c) = NULL;
x = build_outer_var_ref (var, ctx);
if (is_reference (var))
new_var = build_simple_mem_ref_loc (clause_loc, new_var);
x = lang_hooks.decls.omp_clause_assign_op (c, x, new_var);
gimplify_and_add (x, stmt_list);
}
c = OMP_CLAUSE_CHAIN (c);
if (c == NULL && !par_clauses)
{
/* If this was a workshare clause, see if it had been combined
with its parallel. In that case, continue looking for the
clauses also on the parallel statement itself. */
if (is_parallel_ctx (ctx))
break;
ctx = ctx->outer;
if (ctx == NULL || !is_parallel_ctx (ctx))
break;
c = find_omp_clause (gimple_omp_parallel_clauses (ctx->stmt),
OMP_CLAUSE_LASTPRIVATE);
par_clauses = true;
}
}
if (label)
gimple_seq_add_stmt (stmt_list, gimple_build_label (label));
}
/* Generate code to implement the REDUCTION clauses. */
static void
lower_reduction_clauses (tree clauses, gimple_seq *stmt_seqp, omp_context *ctx)
{
gimple_seq sub_seq = NULL;
gimple stmt;
tree x, c;
int count = 0;
/* First see if there is exactly one reduction clause. Use OMP_ATOMIC
update in that case, otherwise use a lock. */
for (c = clauses; c && count < 2; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_REDUCTION)
{
if (OMP_CLAUSE_REDUCTION_PLACEHOLDER (c))
{
/* Never use OMP_ATOMIC for array reductions. */
count = -1;
break;
}
count++;
}
if (count == 0)
return;
for (c = clauses; c ; c = OMP_CLAUSE_CHAIN (c))
{
tree var, ref, new_var;
enum tree_code code;
location_t clause_loc = OMP_CLAUSE_LOCATION (c);
if (OMP_CLAUSE_CODE (c) != OMP_CLAUSE_REDUCTION)
continue;
var = OMP_CLAUSE_DECL (c);
new_var = lookup_decl (var, ctx);
if (is_reference (var))
new_var = build_simple_mem_ref_loc (clause_loc, new_var);
ref = build_outer_var_ref (var, ctx);
code = OMP_CLAUSE_REDUCTION_CODE (c);
/* reduction(-:var) sums up the partial results, so it acts
identically to reduction(+:var). */
if (code == MINUS_EXPR)
code = PLUS_EXPR;
if (count == 1)
{
tree addr = build_fold_addr_expr_loc (clause_loc, ref);
addr = save_expr (addr);
ref = build1 (INDIRECT_REF, TREE_TYPE (TREE_TYPE (addr)), addr);
x = fold_build2_loc (clause_loc, code, TREE_TYPE (ref), ref, new_var);
x = build2 (OMP_ATOMIC, void_type_node, addr, x);
gimplify_and_add (x, stmt_seqp);
return;
}
if (OMP_CLAUSE_REDUCTION_PLACEHOLDER (c))
{
tree placeholder = OMP_CLAUSE_REDUCTION_PLACEHOLDER (c);
if (is_reference (var))
ref = build_fold_addr_expr_loc (clause_loc, ref);
SET_DECL_VALUE_EXPR (placeholder, ref);
DECL_HAS_VALUE_EXPR_P (placeholder) = 1;
lower_omp (OMP_CLAUSE_REDUCTION_GIMPLE_MERGE (c), ctx);
gimple_seq_add_seq (&sub_seq, OMP_CLAUSE_REDUCTION_GIMPLE_MERGE (c));
OMP_CLAUSE_REDUCTION_GIMPLE_MERGE (c) = NULL;
OMP_CLAUSE_REDUCTION_PLACEHOLDER (c) = NULL;
}
else
{
x = build2 (code, TREE_TYPE (ref), ref, new_var);
ref = build_outer_var_ref (var, ctx);
gimplify_assign (ref, x, &sub_seq);
}
}
stmt = gimple_build_call (builtin_decl_explicit (BUILT_IN_GOMP_ATOMIC_START),
0);
gimple_seq_add_stmt (stmt_seqp, stmt);
gimple_seq_add_seq (stmt_seqp, sub_seq);
stmt = gimple_build_call (builtin_decl_explicit (BUILT_IN_GOMP_ATOMIC_END),
0);
gimple_seq_add_stmt (stmt_seqp, stmt);
}
/* Generate code to implement the COPYPRIVATE clauses. */
static void
lower_copyprivate_clauses (tree clauses, gimple_seq *slist, gimple_seq *rlist,
omp_context *ctx)
{
tree c;
for (c = clauses; c ; c = OMP_CLAUSE_CHAIN (c))
{
tree var, new_var, ref, x;
bool by_ref;
location_t clause_loc = OMP_CLAUSE_LOCATION (c);
if (OMP_CLAUSE_CODE (c) != OMP_CLAUSE_COPYPRIVATE)
continue;
var = OMP_CLAUSE_DECL (c);
by_ref = use_pointer_for_field (var, NULL);
ref = build_sender_ref (var, ctx);
x = new_var = lookup_decl_in_outer_ctx (var, ctx);
if (by_ref)
{
x = build_fold_addr_expr_loc (clause_loc, new_var);
x = fold_convert_loc (clause_loc, TREE_TYPE (ref), x);
}
gimplify_assign (ref, x, slist);
ref = build_receiver_ref (var, false, ctx);
if (by_ref)
{
ref = fold_convert_loc (clause_loc,
build_pointer_type (TREE_TYPE (new_var)),
ref);
ref = build_fold_indirect_ref_loc (clause_loc, ref);
}
if (is_reference (var))
{
ref = fold_convert_loc (clause_loc, TREE_TYPE (new_var), ref);
ref = build_simple_mem_ref_loc (clause_loc, ref);
new_var = build_simple_mem_ref_loc (clause_loc, new_var);
}
x = lang_hooks.decls.omp_clause_assign_op (c, new_var, ref);
gimplify_and_add (x, rlist);
}
}
/* Generate code to implement the clauses, FIRSTPRIVATE, COPYIN, LASTPRIVATE,
and REDUCTION from the sender (aka parent) side. */
static void
lower_send_clauses (tree clauses, gimple_seq *ilist, gimple_seq *olist,
omp_context *ctx)
{
tree c;
for (c = clauses; c ; c = OMP_CLAUSE_CHAIN (c))
{
tree val, ref, x, var;
bool by_ref, do_in = false, do_out = false;
location_t clause_loc = OMP_CLAUSE_LOCATION (c);
switch (OMP_CLAUSE_CODE (c))
{
case OMP_CLAUSE_PRIVATE:
if (OMP_CLAUSE_PRIVATE_OUTER_REF (c))
break;
continue;
case OMP_CLAUSE_FIRSTPRIVATE:
case OMP_CLAUSE_COPYIN:
case OMP_CLAUSE_LASTPRIVATE:
case OMP_CLAUSE_REDUCTION:
break;
default:
continue;
}
val = OMP_CLAUSE_DECL (c);
var = lookup_decl_in_outer_ctx (val, ctx);
if (OMP_CLAUSE_CODE (c) != OMP_CLAUSE_COPYIN
&& is_global_var (var))
continue;
if (is_variable_sized (val))
continue;
by_ref = use_pointer_for_field (val, NULL);
switch (OMP_CLAUSE_CODE (c))
{
case OMP_CLAUSE_PRIVATE:
case OMP_CLAUSE_FIRSTPRIVATE:
case OMP_CLAUSE_COPYIN:
do_in = true;
break;
case OMP_CLAUSE_LASTPRIVATE:
if (by_ref || is_reference (val))
{
if (OMP_CLAUSE_LASTPRIVATE_FIRSTPRIVATE (c))
continue;
do_in = true;
}
else
{
do_out = true;
if (lang_hooks.decls.omp_private_outer_ref (val))
do_in = true;
}
break;
case OMP_CLAUSE_REDUCTION:
do_in = true;
do_out = !(by_ref || is_reference (val));
break;
default:
gcc_unreachable ();
}
if (do_in)
{
ref = build_sender_ref (val, ctx);
x = by_ref ? build_fold_addr_expr_loc (clause_loc, var) : var;
gimplify_assign (ref, x, ilist);
if (is_task_ctx (ctx))
DECL_ABSTRACT_ORIGIN (TREE_OPERAND (ref, 1)) = NULL;
}
if (do_out)
{
ref = build_sender_ref (val, ctx);
gimplify_assign (var, ref, olist);
}
}
}
/* Generate code to implement SHARED from the sender (aka parent)
side. This is trickier, since GIMPLE_OMP_PARALLEL_CLAUSES doesn't
list things that got automatically shared. */
static void
lower_send_shared_vars (gimple_seq *ilist, gimple_seq *olist, omp_context *ctx)
{
tree var, ovar, nvar, f, x, record_type;
if (ctx->record_type == NULL)
return;
record_type = ctx->srecord_type ? ctx->srecord_type : ctx->record_type;
for (f = TYPE_FIELDS (record_type); f ; f = DECL_CHAIN (f))
{
ovar = DECL_ABSTRACT_ORIGIN (f);
nvar = maybe_lookup_decl (ovar, ctx);
if (!nvar || !DECL_HAS_VALUE_EXPR_P (nvar))
continue;
/* If CTX is a nested parallel directive. Find the immediately
enclosing parallel or workshare construct that contains a
mapping for OVAR. */
var = lookup_decl_in_outer_ctx (ovar, ctx);
if (use_pointer_for_field (ovar, ctx))
{
x = build_sender_ref (ovar, ctx);
var = build_fold_addr_expr (var);
gimplify_assign (x, var, ilist);
}
else
{
x = build_sender_ref (ovar, ctx);
gimplify_assign (x, var, ilist);
if (!TREE_READONLY (var)
/* We don't need to receive a new reference to a result
or parm decl. In fact we may not store to it as we will
invalidate any pending RSO and generate wrong gimple
during inlining. */
&& !((TREE_CODE (var) == RESULT_DECL
|| TREE_CODE (var) == PARM_DECL)
&& DECL_BY_REFERENCE (var)))
{
x = build_sender_ref (ovar, ctx);
gimplify_assign (var, x, olist);
}
}
}
}
/* A convenience function to build an empty GIMPLE_COND with just the
condition. */
static gimple
gimple_build_cond_empty (tree cond)
{
enum tree_code pred_code;
tree lhs, rhs;
gimple_cond_get_ops_from_tree (cond, &pred_code, &lhs, &rhs);
return gimple_build_cond (pred_code, lhs, rhs, NULL_TREE, NULL_TREE);
}
/* Build the function calls to GOMP_parallel_start etc to actually
generate the parallel operation. REGION is the parallel region
being expanded. BB is the block where to insert the code. WS_ARGS
will be set if this is a call to a combined parallel+workshare
construct, it contains the list of additional arguments needed by
the workshare construct. */
static void
expand_parallel_call (struct omp_region *region, basic_block bb,
gimple entry_stmt, VEC(tree,gc) *ws_args)
{
tree t, t1, t2, val, cond, c, clauses;
gimple_stmt_iterator gsi;
gimple stmt;
enum built_in_function start_ix;
int start_ix2;
location_t clause_loc;
VEC(tree,gc) *args;
clauses = gimple_omp_parallel_clauses (entry_stmt);
/* Determine what flavor of GOMP_parallel_start we will be
emitting. */
start_ix = BUILT_IN_GOMP_PARALLEL_START;
if (is_combined_parallel (region))
{
switch (region->inner->type)
{
case GIMPLE_OMP_FOR:
gcc_assert (region->inner->sched_kind != OMP_CLAUSE_SCHEDULE_AUTO);
start_ix2 = ((int)BUILT_IN_GOMP_PARALLEL_LOOP_STATIC_START
+ (region->inner->sched_kind
== OMP_CLAUSE_SCHEDULE_RUNTIME
? 3 : region->inner->sched_kind));
start_ix = (enum built_in_function)start_ix2;
break;
case GIMPLE_OMP_SECTIONS:
start_ix = BUILT_IN_GOMP_PARALLEL_SECTIONS_START;
break;
default:
gcc_unreachable ();
}
}
/* By default, the value of NUM_THREADS is zero (selected at run time)
and there is no conditional. */
cond = NULL_TREE;
val = build_int_cst (unsigned_type_node, 0);
c = find_omp_clause (clauses, OMP_CLAUSE_IF);
if (c)
cond = OMP_CLAUSE_IF_EXPR (c);
c = find_omp_clause (clauses, OMP_CLAUSE_NUM_THREADS);
if (c)
{
val = OMP_CLAUSE_NUM_THREADS_EXPR (c);
clause_loc = OMP_CLAUSE_LOCATION (c);
}
else
clause_loc = gimple_location (entry_stmt);
/* Ensure 'val' is of the correct type. */
val = fold_convert_loc (clause_loc, unsigned_type_node, val);
/* If we found the clause 'if (cond)', build either
(cond != 0) or (cond ? val : 1u). */
if (cond)
{
gimple_stmt_iterator gsi;
cond = gimple_boolify (cond);
if (integer_zerop (val))
val = fold_build2_loc (clause_loc,
EQ_EXPR, unsigned_type_node, cond,
build_int_cst (TREE_TYPE (cond), 0));
else
{
basic_block cond_bb, then_bb, else_bb;
edge e, e_then, e_else;
tree tmp_then, tmp_else, tmp_join, tmp_var;
tmp_var = create_tmp_var (TREE_TYPE (val), NULL);
if (gimple_in_ssa_p (cfun))
{
tmp_then = make_ssa_name (tmp_var, NULL);
tmp_else = make_ssa_name (tmp_var, NULL);
tmp_join = make_ssa_name (tmp_var, NULL);
}
else
{
tmp_then = tmp_var;
tmp_else = tmp_var;
tmp_join = tmp_var;
}
e = split_block (bb, NULL);
cond_bb = e->src;
bb = e->dest;
remove_edge (e);
then_bb = create_empty_bb (cond_bb);
else_bb = create_empty_bb (then_bb);
set_immediate_dominator (CDI_DOMINATORS, then_bb, cond_bb);
set_immediate_dominator (CDI_DOMINATORS, else_bb, cond_bb);
stmt = gimple_build_cond_empty (cond);
gsi = gsi_start_bb (cond_bb);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
gsi = gsi_start_bb (then_bb);
stmt = gimple_build_assign (tmp_then, val);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
gsi = gsi_start_bb (else_bb);
stmt = gimple_build_assign
(tmp_else, build_int_cst (unsigned_type_node, 1));
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
make_edge (cond_bb, then_bb, EDGE_TRUE_VALUE);
make_edge (cond_bb, else_bb, EDGE_FALSE_VALUE);
e_then = make_edge (then_bb, bb, EDGE_FALLTHRU);
e_else = make_edge (else_bb, bb, EDGE_FALLTHRU);
if (gimple_in_ssa_p (cfun))
{
gimple phi = create_phi_node (tmp_join, bb);
SSA_NAME_DEF_STMT (tmp_join) = phi;
add_phi_arg (phi, tmp_then, e_then, UNKNOWN_LOCATION);
add_phi_arg (phi, tmp_else, e_else, UNKNOWN_LOCATION);
}
val = tmp_join;
}
gsi = gsi_start_bb (bb);
val = force_gimple_operand_gsi (&gsi, val, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
}
gsi = gsi_last_bb (bb);
t = gimple_omp_parallel_data_arg (entry_stmt);
if (t == NULL)
t1 = null_pointer_node;
else
t1 = build_fold_addr_expr (t);
t2 = build_fold_addr_expr (gimple_omp_parallel_child_fn (entry_stmt));
args = VEC_alloc (tree, gc, 3 + VEC_length (tree, ws_args));
VEC_quick_push (tree, args, t2);
VEC_quick_push (tree, args, t1);
VEC_quick_push (tree, args, val);
VEC_splice (tree, args, ws_args);
t = build_call_expr_loc_vec (UNKNOWN_LOCATION,
builtin_decl_explicit (start_ix), args);
force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t = gimple_omp_parallel_data_arg (entry_stmt);
if (t == NULL)
t = null_pointer_node;
else
t = build_fold_addr_expr (t);
t = build_call_expr_loc (gimple_location (entry_stmt),
gimple_omp_parallel_child_fn (entry_stmt), 1, t);
force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t = build_call_expr_loc (gimple_location (entry_stmt),
builtin_decl_explicit (BUILT_IN_GOMP_PARALLEL_END),
0);
force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
}
/* Build the function call to GOMP_task to actually
generate the task operation. BB is the block where to insert the code. */
static void
expand_task_call (basic_block bb, gimple entry_stmt)
{
tree t, t1, t2, t3, flags, cond, c, c2, clauses;
gimple_stmt_iterator gsi;
location_t loc = gimple_location (entry_stmt);
clauses = gimple_omp_task_clauses (entry_stmt);
c = find_omp_clause (clauses, OMP_CLAUSE_IF);
if (c)
cond = gimple_boolify (OMP_CLAUSE_IF_EXPR (c));
else
cond = boolean_true_node;
c = find_omp_clause (clauses, OMP_CLAUSE_UNTIED);
c2 = find_omp_clause (clauses, OMP_CLAUSE_MERGEABLE);
flags = build_int_cst (unsigned_type_node,
(c ? 1 : 0) + (c2 ? 4 : 0));
c = find_omp_clause (clauses, OMP_CLAUSE_FINAL);
if (c)
{
c = gimple_boolify (OMP_CLAUSE_FINAL_EXPR (c));
c = fold_build3_loc (loc, COND_EXPR, unsigned_type_node, c,
build_int_cst (unsigned_type_node, 2),
build_int_cst (unsigned_type_node, 0));
flags = fold_build2_loc (loc, PLUS_EXPR, unsigned_type_node, flags, c);
}
gsi = gsi_last_bb (bb);
t = gimple_omp_task_data_arg (entry_stmt);
if (t == NULL)
t2 = null_pointer_node;
else
t2 = build_fold_addr_expr_loc (loc, t);
t1 = build_fold_addr_expr_loc (loc, gimple_omp_task_child_fn (entry_stmt));
t = gimple_omp_task_copy_fn (entry_stmt);
if (t == NULL)
t3 = null_pointer_node;
else
t3 = build_fold_addr_expr_loc (loc, t);
t = build_call_expr (builtin_decl_explicit (BUILT_IN_GOMP_TASK),
7, t1, t2, t3,
gimple_omp_task_arg_size (entry_stmt),
gimple_omp_task_arg_align (entry_stmt), cond, flags);
force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
}
/* If exceptions are enabled, wrap the statements in BODY in a MUST_NOT_THROW
catch handler and return it. This prevents programs from violating the
structured block semantics with throws. */
static gimple_seq
maybe_catch_exception (gimple_seq body)
{
gimple g;
tree decl;
if (!flag_exceptions)
return body;
if (lang_hooks.eh_protect_cleanup_actions != NULL)
decl = lang_hooks.eh_protect_cleanup_actions ();
else
decl = builtin_decl_explicit (BUILT_IN_TRAP);
g = gimple_build_eh_must_not_throw (decl);
g = gimple_build_try (body, gimple_seq_alloc_with_stmt (g),
GIMPLE_TRY_CATCH);
return gimple_seq_alloc_with_stmt (g);
}
/* Chain all the DECLs in LIST by their TREE_CHAIN fields. */
static tree
vec2chain (VEC(tree,gc) *v)
{
tree chain = NULL_TREE, t;
unsigned ix;
FOR_EACH_VEC_ELT_REVERSE (tree, v, ix, t)
{
DECL_CHAIN (t) = chain;
chain = t;
}
return chain;
}
/* Remove barriers in REGION->EXIT's block. Note that this is only
valid for GIMPLE_OMP_PARALLEL regions. Since the end of a parallel region
is an implicit barrier, any workshare inside the GIMPLE_OMP_PARALLEL that
left a barrier at the end of the GIMPLE_OMP_PARALLEL region can now be
removed. */
static void
remove_exit_barrier (struct omp_region *region)
{
gimple_stmt_iterator gsi;
basic_block exit_bb;
edge_iterator ei;
edge e;
gimple stmt;
int any_addressable_vars = -1;
exit_bb = region->exit;
/* If the parallel region doesn't return, we don't have REGION->EXIT
block at all. */
if (! exit_bb)
return;
/* The last insn in the block will be the parallel's GIMPLE_OMP_RETURN. The
workshare's GIMPLE_OMP_RETURN will be in a preceding block. The kinds of
statements that can appear in between are extremely limited -- no
memory operations at all. Here, we allow nothing at all, so the
only thing we allow to precede this GIMPLE_OMP_RETURN is a label. */
gsi = gsi_last_bb (exit_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_RETURN);
gsi_prev (&gsi);
if (!gsi_end_p (gsi) && gimple_code (gsi_stmt (gsi)) != GIMPLE_LABEL)
return;
FOR_EACH_EDGE (e, ei, exit_bb->preds)
{
gsi = gsi_last_bb (e->src);
if (gsi_end_p (gsi))
continue;
stmt = gsi_stmt (gsi);
if (gimple_code (stmt) == GIMPLE_OMP_RETURN
&& !gimple_omp_return_nowait_p (stmt))
{
/* OpenMP 3.0 tasks unfortunately prevent this optimization
in many cases. If there could be tasks queued, the barrier
might be needed to let the tasks run before some local
variable of the parallel that the task uses as shared
runs out of scope. The task can be spawned either
from within current function (this would be easy to check)
or from some function it calls and gets passed an address
of such a variable. */
if (any_addressable_vars < 0)
{
gimple parallel_stmt = last_stmt (region->entry);
tree child_fun = gimple_omp_parallel_child_fn (parallel_stmt);
tree local_decls, block, decl;
unsigned ix;
any_addressable_vars = 0;
FOR_EACH_LOCAL_DECL (DECL_STRUCT_FUNCTION (child_fun), ix, decl)
if (TREE_ADDRESSABLE (decl))
{
any_addressable_vars = 1;
break;
}
for (block = gimple_block (stmt);
!any_addressable_vars
&& block
&& TREE_CODE (block) == BLOCK;
block = BLOCK_SUPERCONTEXT (block))
{
for (local_decls = BLOCK_VARS (block);
local_decls;
local_decls = DECL_CHAIN (local_decls))
if (TREE_ADDRESSABLE (local_decls))
{
any_addressable_vars = 1;
break;
}
if (block == gimple_block (parallel_stmt))
break;
}
}
if (!any_addressable_vars)
gimple_omp_return_set_nowait (stmt);
}
}
}
static void
remove_exit_barriers (struct omp_region *region)
{
if (region->type == GIMPLE_OMP_PARALLEL)
remove_exit_barrier (region);
if (region->inner)
{
region = region->inner;
remove_exit_barriers (region);
while (region->next)
{
region = region->next;
remove_exit_barriers (region);
}
}
}
/* Optimize omp_get_thread_num () and omp_get_num_threads ()
calls. These can't be declared as const functions, but
within one parallel body they are constant, so they can be
transformed there into __builtin_omp_get_{thread_num,num_threads} ()
which are declared const. Similarly for task body, except
that in untied task omp_get_thread_num () can change at any task
scheduling point. */
static void
optimize_omp_library_calls (gimple entry_stmt)
{
basic_block bb;
gimple_stmt_iterator gsi;
tree thr_num_tree = builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM);
tree thr_num_id = DECL_ASSEMBLER_NAME (thr_num_tree);
tree num_thr_tree = builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_THREADS);
tree num_thr_id = DECL_ASSEMBLER_NAME (num_thr_tree);
bool untied_task = (gimple_code (entry_stmt) == GIMPLE_OMP_TASK
&& find_omp_clause (gimple_omp_task_clauses (entry_stmt),
OMP_CLAUSE_UNTIED) != NULL);
FOR_EACH_BB (bb)
for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
{
gimple call = gsi_stmt (gsi);
tree decl;
if (is_gimple_call (call)
&& (decl = gimple_call_fndecl (call))
&& DECL_EXTERNAL (decl)
&& TREE_PUBLIC (decl)
&& DECL_INITIAL (decl) == NULL)
{
tree built_in;
if (DECL_NAME (decl) == thr_num_id)
{
/* In #pragma omp task untied omp_get_thread_num () can change
during the execution of the task region. */
if (untied_task)
continue;
built_in = builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM);
}
else if (DECL_NAME (decl) == num_thr_id)
built_in = builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_THREADS);
else
continue;
if (DECL_ASSEMBLER_NAME (decl) != DECL_ASSEMBLER_NAME (built_in)
|| gimple_call_num_args (call) != 0)
continue;
if (flag_exceptions && !TREE_NOTHROW (decl))
continue;
if (TREE_CODE (TREE_TYPE (decl)) != FUNCTION_TYPE
|| !types_compatible_p (TREE_TYPE (TREE_TYPE (decl)),
TREE_TYPE (TREE_TYPE (built_in))))
continue;
gimple_call_set_fndecl (call, built_in);
}
}
}
/* Expand the OpenMP parallel or task directive starting at REGION. */
static void
expand_omp_taskreg (struct omp_region *region)
{
basic_block entry_bb, exit_bb, new_bb;
struct function *child_cfun;
tree child_fn, block, t;
tree save_current;
gimple_stmt_iterator gsi;
gimple entry_stmt, stmt;
edge e;
VEC(tree,gc) *ws_args;
entry_stmt = last_stmt (region->entry);
child_fn = gimple_omp_taskreg_child_fn (entry_stmt);
child_cfun = DECL_STRUCT_FUNCTION (child_fn);
/* If this function has been already instrumented, make sure
the child function isn't instrumented again. */
child_cfun->after_tree_profile = cfun->after_tree_profile;
entry_bb = region->entry;
exit_bb = region->exit;
if (is_combined_parallel (region))
ws_args = region->ws_args;
else
ws_args = NULL;
if (child_cfun->cfg)
{
/* Due to inlining, it may happen that we have already outlined
the region, in which case all we need to do is make the
sub-graph unreachable and emit the parallel call. */
edge entry_succ_e, exit_succ_e;
gimple_stmt_iterator gsi;
entry_succ_e = single_succ_edge (entry_bb);
gsi = gsi_last_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_PARALLEL
|| gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_TASK);
gsi_remove (&gsi, true);
new_bb = entry_bb;
if (exit_bb)
{
exit_succ_e = single_succ_edge (exit_bb);
make_edge (new_bb, exit_succ_e->dest, EDGE_FALLTHRU);
}
remove_edge_and_dominated_blocks (entry_succ_e);
}
else
{
unsigned srcidx, dstidx, num;
/* If the parallel region needs data sent from the parent
function, then the very first statement (except possible
tree profile counter updates) of the parallel body
is a copy assignment .OMP_DATA_I = &.OMP_DATA_O. Since
&.OMP_DATA_O is passed as an argument to the child function,
we need to replace it with the argument as seen by the child
function.
In most cases, this will end up being the identity assignment
.OMP_DATA_I = .OMP_DATA_I. However, if the parallel body had
a function call that has been inlined, the original PARM_DECL
.OMP_DATA_I may have been converted into a different local
variable. In which case, we need to keep the assignment. */
if (gimple_omp_taskreg_data_arg (entry_stmt))
{
basic_block entry_succ_bb = single_succ (entry_bb);
gimple_stmt_iterator gsi;
tree arg, narg;
gimple parcopy_stmt = NULL;
for (gsi = gsi_start_bb (entry_succ_bb); ; gsi_next (&gsi))
{
gimple stmt;
gcc_assert (!gsi_end_p (gsi));
stmt = gsi_stmt (gsi);
if (gimple_code (stmt) != GIMPLE_ASSIGN)
continue;
if (gimple_num_ops (stmt) == 2)
{
tree arg = gimple_assign_rhs1 (stmt);
/* We're ignore the subcode because we're
effectively doing a STRIP_NOPS. */
if (TREE_CODE (arg) == ADDR_EXPR
&& TREE_OPERAND (arg, 0)
== gimple_omp_taskreg_data_arg (entry_stmt))
{
parcopy_stmt = stmt;
break;
}
}
}
gcc_assert (parcopy_stmt != NULL);
arg = DECL_ARGUMENTS (child_fn);
if (!gimple_in_ssa_p (cfun))
{
if (gimple_assign_lhs (parcopy_stmt) == arg)
gsi_remove (&gsi, true);
else
{
/* ?? Is setting the subcode really necessary ?? */
gimple_omp_set_subcode (parcopy_stmt, TREE_CODE (arg));
gimple_assign_set_rhs1 (parcopy_stmt, arg);
}
}
else
{
/* If we are in ssa form, we must load the value from the default
definition of the argument. That should not be defined now,
since the argument is not used uninitialized. */
gcc_assert (gimple_default_def (cfun, arg) == NULL);
narg = make_ssa_name (arg, gimple_build_nop ());
set_default_def (arg, narg);
/* ?? Is setting the subcode really necessary ?? */
gimple_omp_set_subcode (parcopy_stmt, TREE_CODE (narg));
gimple_assign_set_rhs1 (parcopy_stmt, narg);
update_stmt (parcopy_stmt);
}
}
/* Declare local variables needed in CHILD_CFUN. */
block = DECL_INITIAL (child_fn);
BLOCK_VARS (block) = vec2chain (child_cfun->local_decls);
/* The gimplifier could record temporaries in parallel/task block
rather than in containing function's local_decls chain,
which would mean cgraph missed finalizing them. Do it now. */
for (t = BLOCK_VARS (block); t; t = DECL_CHAIN (t))
if (TREE_CODE (t) == VAR_DECL
&& TREE_STATIC (t)
&& !DECL_EXTERNAL (t))
varpool_finalize_decl (t);
DECL_SAVED_TREE (child_fn) = NULL;
gimple_set_body (child_fn, bb_seq (single_succ (entry_bb)));
TREE_USED (block) = 1;
/* Reset DECL_CONTEXT on function arguments. */
for (t = DECL_ARGUMENTS (child_fn); t; t = DECL_CHAIN (t))
DECL_CONTEXT (t) = child_fn;
/* Split ENTRY_BB at GIMPLE_OMP_PARALLEL or GIMPLE_OMP_TASK,
so that it can be moved to the child function. */
gsi = gsi_last_bb (entry_bb);
stmt = gsi_stmt (gsi);
gcc_assert (stmt && (gimple_code (stmt) == GIMPLE_OMP_PARALLEL
|| gimple_code (stmt) == GIMPLE_OMP_TASK));
gsi_remove (&gsi, true);
e = split_block (entry_bb, stmt);
entry_bb = e->dest;
single_succ_edge (entry_bb)->flags = EDGE_FALLTHRU;
/* Convert GIMPLE_OMP_RETURN into a RETURN_EXPR. */
if (exit_bb)
{
gsi = gsi_last_bb (exit_bb);
gcc_assert (!gsi_end_p (gsi)
&& gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_RETURN);
stmt = gimple_build_return (NULL);
gsi_insert_after (&gsi, stmt, GSI_SAME_STMT);
gsi_remove (&gsi, true);
}
/* Move the parallel region into CHILD_CFUN. */
if (gimple_in_ssa_p (cfun))
{
push_cfun (child_cfun);
init_tree_ssa (child_cfun);
init_ssa_operands ();
cfun->gimple_df->in_ssa_p = true;
pop_cfun ();
block = NULL_TREE;
}
else
block = gimple_block (entry_stmt);
new_bb = move_sese_region_to_fn (child_cfun, entry_bb, exit_bb, block);
if (exit_bb)
single_succ_edge (new_bb)->flags = EDGE_FALLTHRU;
/* Remove non-local VAR_DECLs from child_cfun->local_decls list. */
num = VEC_length (tree, child_cfun->local_decls);
for (srcidx = 0, dstidx = 0; srcidx < num; srcidx++)
{
t = VEC_index (tree, child_cfun->local_decls, srcidx);
if (DECL_CONTEXT (t) == cfun->decl)
continue;
if (srcidx != dstidx)
VEC_replace (tree, child_cfun->local_decls, dstidx, t);
dstidx++;
}
if (dstidx != num)
VEC_truncate (tree, child_cfun->local_decls, dstidx);
/* Inform the callgraph about the new function. */
DECL_STRUCT_FUNCTION (child_fn)->curr_properties
= cfun->curr_properties;
cgraph_add_new_function (child_fn, true);
/* Fix the callgraph edges for child_cfun. Those for cfun will be
fixed in a following pass. */
push_cfun (child_cfun);
save_current = current_function_decl;
current_function_decl = child_fn;
if (optimize)
optimize_omp_library_calls (entry_stmt);
rebuild_cgraph_edges ();
/* Some EH regions might become dead, see PR34608. If
pass_cleanup_cfg isn't the first pass to happen with the
new child, these dead EH edges might cause problems.
Clean them up now. */
if (flag_exceptions)
{
basic_block bb;
bool changed = false;
FOR_EACH_BB (bb)
changed |= gimple_purge_dead_eh_edges (bb);
if (changed)
cleanup_tree_cfg ();
}
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa);
current_function_decl = save_current;
pop_cfun ();
}
/* Emit a library call to launch the children threads. */
if (gimple_code (entry_stmt) == GIMPLE_OMP_PARALLEL)
expand_parallel_call (region, new_bb, entry_stmt, ws_args);
else
expand_task_call (new_bb, entry_stmt);
update_ssa (TODO_update_ssa_only_virtuals);
}
/* A subroutine of expand_omp_for. Generate code for a parallel
loop with any schedule. Given parameters:
for (V = N1; V cond N2; V += STEP) BODY;
where COND is "<" or ">", we generate pseudocode
more = GOMP_loop_foo_start (N1, N2, STEP, CHUNK, &istart0, &iend0);
if (more) goto L0; else goto L3;
L0:
V = istart0;
iend = iend0;
L1:
BODY;
V += STEP;
if (V cond iend) goto L1; else goto L2;
L2:
if (GOMP_loop_foo_next (&istart0, &iend0)) goto L0; else goto L3;
L3:
If this is a combined omp parallel loop, instead of the call to
GOMP_loop_foo_start, we call GOMP_loop_foo_next.
For collapsed loops, given parameters:
collapse(3)
for (V1 = N11; V1 cond1 N12; V1 += STEP1)
for (V2 = N21; V2 cond2 N22; V2 += STEP2)
for (V3 = N31; V3 cond3 N32; V3 += STEP3)
BODY;
we generate pseudocode
if (cond3 is <)
adj = STEP3 - 1;
else
adj = STEP3 + 1;
count3 = (adj + N32 - N31) / STEP3;
if (cond2 is <)
adj = STEP2 - 1;
else
adj = STEP2 + 1;
count2 = (adj + N22 - N21) / STEP2;
if (cond1 is <)
adj = STEP1 - 1;
else
adj = STEP1 + 1;
count1 = (adj + N12 - N11) / STEP1;
count = count1 * count2 * count3;
more = GOMP_loop_foo_start (0, count, 1, CHUNK, &istart0, &iend0);
if (more) goto L0; else goto L3;
L0:
V = istart0;
T = V;
V3 = N31 + (T % count3) * STEP3;
T = T / count3;
V2 = N21 + (T % count2) * STEP2;
T = T / count2;
V1 = N11 + T * STEP1;
iend = iend0;
L1:
BODY;
V += 1;
if (V < iend) goto L10; else goto L2;
L10:
V3 += STEP3;
if (V3 cond3 N32) goto L1; else goto L11;
L11:
V3 = N31;
V2 += STEP2;
if (V2 cond2 N22) goto L1; else goto L12;
L12:
V2 = N21;
V1 += STEP1;
goto L1;
L2:
if (GOMP_loop_foo_next (&istart0, &iend0)) goto L0; else goto L3;
L3:
*/
static void
expand_omp_for_generic (struct omp_region *region,
struct omp_for_data *fd,
enum built_in_function start_fn,
enum built_in_function next_fn)
{
tree type, istart0, iend0, iend;
tree t, vmain, vback, bias = NULL_TREE;
basic_block entry_bb, cont_bb, exit_bb, l0_bb, l1_bb, collapse_bb;
basic_block l2_bb = NULL, l3_bb = NULL;
gimple_stmt_iterator gsi;
gimple stmt;
bool in_combined_parallel = is_combined_parallel (region);
bool broken_loop = region->cont == NULL;
edge e, ne;
tree *counts = NULL;
int i;
gcc_assert (!broken_loop || !in_combined_parallel);
gcc_assert (fd->iter_type == long_integer_type_node
|| !in_combined_parallel);
type = TREE_TYPE (fd->loop.v);
istart0 = create_tmp_var (fd->iter_type, ".istart0");
iend0 = create_tmp_var (fd->iter_type, ".iend0");
TREE_ADDRESSABLE (istart0) = 1;
TREE_ADDRESSABLE (iend0) = 1;
if (gimple_in_ssa_p (cfun))
{
add_referenced_var (istart0);
add_referenced_var (iend0);
}
/* See if we need to bias by LLONG_MIN. */
if (fd->iter_type == long_long_unsigned_type_node
&& TREE_CODE (type) == INTEGER_TYPE
&& !TYPE_UNSIGNED (type))
{
tree n1, n2;
if (fd->loop.cond_code == LT_EXPR)
{
n1 = fd->loop.n1;
n2 = fold_build2 (PLUS_EXPR, type, fd->loop.n2, fd->loop.step);
}
else
{
n1 = fold_build2 (MINUS_EXPR, type, fd->loop.n2, fd->loop.step);
n2 = fd->loop.n1;
}
if (TREE_CODE (n1) != INTEGER_CST
|| TREE_CODE (n2) != INTEGER_CST
|| ((tree_int_cst_sgn (n1) < 0) ^ (tree_int_cst_sgn (n2) < 0)))
bias = fold_convert (fd->iter_type, TYPE_MIN_VALUE (type));
}
entry_bb = region->entry;
cont_bb = region->cont;
collapse_bb = NULL;
gcc_assert (EDGE_COUNT (entry_bb->succs) == 2);
gcc_assert (broken_loop
|| BRANCH_EDGE (entry_bb)->dest == FALLTHRU_EDGE (cont_bb)->dest);
l0_bb = split_edge (FALLTHRU_EDGE (entry_bb));
l1_bb = single_succ (l0_bb);
if (!broken_loop)
{
l2_bb = create_empty_bb (cont_bb);
gcc_assert (BRANCH_EDGE (cont_bb)->dest == l1_bb);
gcc_assert (EDGE_COUNT (cont_bb->succs) == 2);
}
else
l2_bb = NULL;
l3_bb = BRANCH_EDGE (entry_bb)->dest;
exit_bb = region->exit;
gsi = gsi_last_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
if (fd->collapse > 1)
{
/* collapsed loops need work for expansion in SSA form. */
gcc_assert (!gimple_in_ssa_p (cfun));
counts = (tree *) alloca (fd->collapse * sizeof (tree));
for (i = 0; i < fd->collapse; i++)
{
tree itype = TREE_TYPE (fd->loops[i].v);
if (POINTER_TYPE_P (itype))
itype = lang_hooks.types.type_for_size (TYPE_PRECISION (itype), 0);
t = build_int_cst (itype, (fd->loops[i].cond_code == LT_EXPR
? -1 : 1));
t = fold_build2 (PLUS_EXPR, itype,
fold_convert (itype, fd->loops[i].step), t);
t = fold_build2 (PLUS_EXPR, itype, t,
fold_convert (itype, fd->loops[i].n2));
t = fold_build2 (MINUS_EXPR, itype, t,
fold_convert (itype, fd->loops[i].n1));
if (TYPE_UNSIGNED (itype) && fd->loops[i].cond_code == GT_EXPR)
t = fold_build2 (TRUNC_DIV_EXPR, itype,
fold_build1 (NEGATE_EXPR, itype, t),
fold_build1 (NEGATE_EXPR, itype,
fold_convert (itype,
fd->loops[i].step)));
else
t = fold_build2 (TRUNC_DIV_EXPR, itype, t,
fold_convert (itype, fd->loops[i].step));
t = fold_convert (type, t);
if (TREE_CODE (t) == INTEGER_CST)
counts[i] = t;
else
{
counts[i] = create_tmp_var (type, ".count");
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
true, GSI_SAME_STMT);
stmt = gimple_build_assign (counts[i], t);
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
}
if (SSA_VAR_P (fd->loop.n2))
{
if (i == 0)
t = counts[0];
else
{
t = fold_build2 (MULT_EXPR, type, fd->loop.n2, counts[i]);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
true, GSI_SAME_STMT);
}
stmt = gimple_build_assign (fd->loop.n2, t);
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
}
}
}
if (in_combined_parallel)
{
/* In a combined parallel loop, emit a call to
GOMP_loop_foo_next. */
t = build_call_expr (builtin_decl_explicit (next_fn), 2,
build_fold_addr_expr (istart0),
build_fold_addr_expr (iend0));
}
else
{
tree t0, t1, t2, t3, t4;
/* If this is not a combined parallel loop, emit a call to
GOMP_loop_foo_start in ENTRY_BB. */
t4 = build_fold_addr_expr (iend0);
t3 = build_fold_addr_expr (istart0);
t2 = fold_convert (fd->iter_type, fd->loop.step);
if (POINTER_TYPE_P (type)
&& TYPE_PRECISION (type) != TYPE_PRECISION (fd->iter_type))
{
/* Avoid casting pointers to integer of a different size. */
tree itype
= lang_hooks.types.type_for_size (TYPE_PRECISION (type), 0);
t1 = fold_convert (fd->iter_type, fold_convert (itype, fd->loop.n2));
t0 = fold_convert (fd->iter_type, fold_convert (itype, fd->loop.n1));
}
else
{
t1 = fold_convert (fd->iter_type, fd->loop.n2);
t0 = fold_convert (fd->iter_type, fd->loop.n1);
}
if (bias)
{
t1 = fold_build2 (PLUS_EXPR, fd->iter_type, t1, bias);
t0 = fold_build2 (PLUS_EXPR, fd->iter_type, t0, bias);
}
if (fd->iter_type == long_integer_type_node)
{
if (fd->chunk_size)
{
t = fold_convert (fd->iter_type, fd->chunk_size);
t = build_call_expr (builtin_decl_explicit (start_fn),
6, t0, t1, t2, t, t3, t4);
}
else
t = build_call_expr (builtin_decl_explicit (start_fn),
5, t0, t1, t2, t3, t4);
}
else
{
tree t5;
tree c_bool_type;
tree bfn_decl;
/* The GOMP_loop_ull_*start functions have additional boolean
argument, true for < loops and false for > loops.
In Fortran, the C bool type can be different from
boolean_type_node. */
bfn_decl = builtin_decl_explicit (start_fn);
c_bool_type = TREE_TYPE (TREE_TYPE (bfn_decl));
t5 = build_int_cst (c_bool_type,
fd->loop.cond_code == LT_EXPR ? 1 : 0);
if (fd->chunk_size)
{
tree bfn_decl = builtin_decl_explicit (start_fn);
t = fold_convert (fd->iter_type, fd->chunk_size);
t = build_call_expr (bfn_decl, 7, t5, t0, t1, t2, t, t3, t4);
}
else
t = build_call_expr (builtin_decl_explicit (start_fn),
6, t5, t0, t1, t2, t3, t4);
}
}
if (TREE_TYPE (t) != boolean_type_node)
t = fold_build2 (NE_EXPR, boolean_type_node,
t, build_int_cst (TREE_TYPE (t), 0));
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
true, GSI_SAME_STMT);
gsi_insert_after (&gsi, gimple_build_cond_empty (t), GSI_SAME_STMT);
/* Remove the GIMPLE_OMP_FOR statement. */
gsi_remove (&gsi, true);
/* Iteration setup for sequential loop goes in L0_BB. */
gsi = gsi_start_bb (l0_bb);
t = istart0;
if (bias)
t = fold_build2 (MINUS_EXPR, fd->iter_type, t, bias);
if (POINTER_TYPE_P (type))
t = fold_convert (lang_hooks.types.type_for_size (TYPE_PRECISION (type),
0), t);
t = fold_convert (type, t);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
false, GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (fd->loop.v, t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
t = iend0;
if (bias)
t = fold_build2 (MINUS_EXPR, fd->iter_type, t, bias);
if (POINTER_TYPE_P (type))
t = fold_convert (lang_hooks.types.type_for_size (TYPE_PRECISION (type),
0), t);
t = fold_convert (type, t);
iend = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
if (fd->collapse > 1)
{
tree tem = create_tmp_var (type, ".tem");
stmt = gimple_build_assign (tem, fd->loop.v);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
for (i = fd->collapse - 1; i >= 0; i--)
{
tree vtype = TREE_TYPE (fd->loops[i].v), itype;
itype = vtype;
if (POINTER_TYPE_P (vtype))
itype = lang_hooks.types.type_for_size (TYPE_PRECISION (vtype), 0);
t = fold_build2 (TRUNC_MOD_EXPR, type, tem, counts[i]);
t = fold_convert (itype, t);
t = fold_build2 (MULT_EXPR, itype, t,
fold_convert (itype, fd->loops[i].step));
if (POINTER_TYPE_P (vtype))
t = fold_build_pointer_plus (fd->loops[i].n1, t);
else
t = fold_build2 (PLUS_EXPR, itype, fd->loops[i].n1, t);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
false, GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (fd->loops[i].v, t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
if (i != 0)
{
t = fold_build2 (TRUNC_DIV_EXPR, type, tem, counts[i]);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
false, GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (tem, t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
}
}
}
if (!broken_loop)
{
/* Code to control the increment and predicate for the sequential
loop goes in the CONT_BB. */
gsi = gsi_last_bb (cont_bb);
stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_CONTINUE);
vmain = gimple_omp_continue_control_use (stmt);
vback = gimple_omp_continue_control_def (stmt);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (vmain, fd->loop.step);
else
t = fold_build2 (PLUS_EXPR, type, vmain, fd->loop.step);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
true, GSI_SAME_STMT);
stmt = gimple_build_assign (vback, t);
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
t = build2 (fd->loop.cond_code, boolean_type_node, vback, iend);
stmt = gimple_build_cond_empty (t);
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
/* Remove GIMPLE_OMP_CONTINUE. */
gsi_remove (&gsi, true);
if (fd->collapse > 1)
{
basic_block last_bb, bb;
last_bb = cont_bb;
for (i = fd->collapse - 1; i >= 0; i--)
{
tree vtype = TREE_TYPE (fd->loops[i].v);
bb = create_empty_bb (last_bb);
gsi = gsi_start_bb (bb);
if (i < fd->collapse - 1)
{
e = make_edge (last_bb, bb, EDGE_FALSE_VALUE);
e->probability = REG_BR_PROB_BASE / 8;
t = fd->loops[i + 1].n1;
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
false, GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (fd->loops[i + 1].v, t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
}
else
collapse_bb = bb;
set_immediate_dominator (CDI_DOMINATORS, bb, last_bb);
if (POINTER_TYPE_P (vtype))
t = fold_build_pointer_plus (fd->loops[i].v, fd->loops[i].step);
else
t = fold_build2 (PLUS_EXPR, vtype, fd->loops[i].v,
fd->loops[i].step);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
false, GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (fd->loops[i].v, t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
if (i > 0)
{
t = fd->loops[i].n2;
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t = fold_build2 (fd->loops[i].cond_code, boolean_type_node,
fd->loops[i].v, t);
stmt = gimple_build_cond_empty (t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
e = make_edge (bb, l1_bb, EDGE_TRUE_VALUE);
e->probability = REG_BR_PROB_BASE * 7 / 8;
}
else
make_edge (bb, l1_bb, EDGE_FALLTHRU);
last_bb = bb;
}
}
/* Emit code to get the next parallel iteration in L2_BB. */
gsi = gsi_start_bb (l2_bb);
t = build_call_expr (builtin_decl_explicit (next_fn), 2,
build_fold_addr_expr (istart0),
build_fold_addr_expr (iend0));
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
if (TREE_TYPE (t) != boolean_type_node)
t = fold_build2 (NE_EXPR, boolean_type_node,
t, build_int_cst (TREE_TYPE (t), 0));
stmt = gimple_build_cond_empty (t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
}
/* Add the loop cleanup function. */
gsi = gsi_last_bb (exit_bb);
if (gimple_omp_return_nowait_p (gsi_stmt (gsi)))
t = builtin_decl_explicit (BUILT_IN_GOMP_LOOP_END_NOWAIT);
else
t = builtin_decl_explicit (BUILT_IN_GOMP_LOOP_END);
stmt = gimple_build_call (t, 0);
gsi_insert_after (&gsi, stmt, GSI_SAME_STMT);
gsi_remove (&gsi, true);
/* Connect the new blocks. */
find_edge (entry_bb, l0_bb)->flags = EDGE_TRUE_VALUE;
find_edge (entry_bb, l3_bb)->flags = EDGE_FALSE_VALUE;
if (!broken_loop)
{
gimple_seq phis;
e = find_edge (cont_bb, l3_bb);
ne = make_edge (l2_bb, l3_bb, EDGE_FALSE_VALUE);
phis = phi_nodes (l3_bb);
for (gsi = gsi_start (phis); !gsi_end_p (gsi); gsi_next (&gsi))
{
gimple phi = gsi_stmt (gsi);
SET_USE (PHI_ARG_DEF_PTR_FROM_EDGE (phi, ne),
PHI_ARG_DEF_FROM_EDGE (phi, e));
}
remove_edge (e);
make_edge (cont_bb, l2_bb, EDGE_FALSE_VALUE);
if (fd->collapse > 1)
{
e = find_edge (cont_bb, l1_bb);
remove_edge (e);
e = make_edge (cont_bb, collapse_bb, EDGE_TRUE_VALUE);
}
else
{
e = find_edge (cont_bb, l1_bb);
e->flags = EDGE_TRUE_VALUE;
}
e->probability = REG_BR_PROB_BASE * 7 / 8;
find_edge (cont_bb, l2_bb)->probability = REG_BR_PROB_BASE / 8;
make_edge (l2_bb, l0_bb, EDGE_TRUE_VALUE);
set_immediate_dominator (CDI_DOMINATORS, l2_bb,
recompute_dominator (CDI_DOMINATORS, l2_bb));
set_immediate_dominator (CDI_DOMINATORS, l3_bb,
recompute_dominator (CDI_DOMINATORS, l3_bb));
set_immediate_dominator (CDI_DOMINATORS, l0_bb,
recompute_dominator (CDI_DOMINATORS, l0_bb));
set_immediate_dominator (CDI_DOMINATORS, l1_bb,
recompute_dominator (CDI_DOMINATORS, l1_bb));
}
}
/* A subroutine of expand_omp_for. Generate code for a parallel
loop with static schedule and no specified chunk size. Given
parameters:
for (V = N1; V cond N2; V += STEP) BODY;
where COND is "<" or ">", we generate pseudocode
if (cond is <)
adj = STEP - 1;
else
adj = STEP + 1;
if ((__typeof (V)) -1 > 0 && cond is >)
n = -(adj + N2 - N1) / -STEP;
else
n = (adj + N2 - N1) / STEP;
q = n / nthreads;
tt = n % nthreads;
if (threadid < tt) goto L3; else goto L4;
L3:
tt = 0;
q = q + 1;
L4:
s0 = q * threadid + tt;
e0 = s0 + q;
V = s0 * STEP + N1;
if (s0 >= e0) goto L2; else goto L0;
L0:
e = e0 * STEP + N1;
L1:
BODY;
V += STEP;
if (V cond e) goto L1;
L2:
*/
static void
expand_omp_for_static_nochunk (struct omp_region *region,
struct omp_for_data *fd)
{
tree n, q, s0, e0, e, t, tt, nthreads, threadid;
tree type, itype, vmain, vback;
basic_block entry_bb, second_bb, third_bb, exit_bb, seq_start_bb;
basic_block body_bb, cont_bb;
basic_block fin_bb;
gimple_stmt_iterator gsi;
gimple stmt;
edge ep;
itype = type = TREE_TYPE (fd->loop.v);
if (POINTER_TYPE_P (type))
itype = lang_hooks.types.type_for_size (TYPE_PRECISION (type), 0);
entry_bb = region->entry;
cont_bb = region->cont;
gcc_assert (EDGE_COUNT (entry_bb->succs) == 2);
gcc_assert (BRANCH_EDGE (entry_bb)->dest == FALLTHRU_EDGE (cont_bb)->dest);
seq_start_bb = split_edge (FALLTHRU_EDGE (entry_bb));
body_bb = single_succ (seq_start_bb);
gcc_assert (BRANCH_EDGE (cont_bb)->dest == body_bb);
gcc_assert (EDGE_COUNT (cont_bb->succs) == 2);
fin_bb = FALLTHRU_EDGE (cont_bb)->dest;
exit_bb = region->exit;
/* Iteration space partitioning goes in ENTRY_BB. */
gsi = gsi_last_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
t = build_call_expr (builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_THREADS), 0);
t = fold_convert (itype, t);
nthreads = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
true, GSI_SAME_STMT);
t = build_call_expr (builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM), 0);
t = fold_convert (itype, t);
threadid = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
true, GSI_SAME_STMT);
fd->loop.n1
= force_gimple_operand_gsi (&gsi, fold_convert (type, fd->loop.n1),
true, NULL_TREE, true, GSI_SAME_STMT);
fd->loop.n2
= force_gimple_operand_gsi (&gsi, fold_convert (itype, fd->loop.n2),
true, NULL_TREE, true, GSI_SAME_STMT);
fd->loop.step
= force_gimple_operand_gsi (&gsi, fold_convert (itype, fd->loop.step),
true, NULL_TREE, true, GSI_SAME_STMT);
t = build_int_cst (itype, (fd->loop.cond_code == LT_EXPR ? -1 : 1));
t = fold_build2 (PLUS_EXPR, itype, fd->loop.step, t);
t = fold_build2 (PLUS_EXPR, itype, t, fd->loop.n2);
t = fold_build2 (MINUS_EXPR, itype, t, fold_convert (itype, fd->loop.n1));
if (TYPE_UNSIGNED (itype) && fd->loop.cond_code == GT_EXPR)
t = fold_build2 (TRUNC_DIV_EXPR, itype,
fold_build1 (NEGATE_EXPR, itype, t),
fold_build1 (NEGATE_EXPR, itype, fd->loop.step));
else
t = fold_build2 (TRUNC_DIV_EXPR, itype, t, fd->loop.step);
t = fold_convert (itype, t);
n = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE, true, GSI_SAME_STMT);
q = create_tmp_var (itype, "q");
t = fold_build2 (TRUNC_DIV_EXPR, itype, n, nthreads);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE, true, GSI_SAME_STMT);
gsi_insert_before (&gsi, gimple_build_assign (q, t), GSI_SAME_STMT);
tt = create_tmp_var (itype, "tt");
t = fold_build2 (TRUNC_MOD_EXPR, itype, n, nthreads);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE, true, GSI_SAME_STMT);
gsi_insert_before (&gsi, gimple_build_assign (tt, t), GSI_SAME_STMT);
t = build2 (LT_EXPR, boolean_type_node, threadid, tt);
stmt = gimple_build_cond_empty (t);
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
second_bb = split_block (entry_bb, stmt)->dest;
gsi = gsi_last_bb (second_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
gsi_insert_before (&gsi, gimple_build_assign (tt, build_int_cst (itype, 0)),
GSI_SAME_STMT);
stmt = gimple_build_assign_with_ops (PLUS_EXPR, q, q,
build_int_cst (itype, 1));
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
third_bb = split_block (second_bb, stmt)->dest;
gsi = gsi_last_bb (third_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
t = build2 (MULT_EXPR, itype, q, threadid);
t = build2 (PLUS_EXPR, itype, t, tt);
s0 = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE, true, GSI_SAME_STMT);
t = fold_build2 (PLUS_EXPR, itype, s0, q);
e0 = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE, true, GSI_SAME_STMT);
t = build2 (GE_EXPR, boolean_type_node, s0, e0);
gsi_insert_before (&gsi, gimple_build_cond_empty (t), GSI_SAME_STMT);
/* Remove the GIMPLE_OMP_FOR statement. */
gsi_remove (&gsi, true);
/* Setup code for sequential iteration goes in SEQ_START_BB. */
gsi = gsi_start_bb (seq_start_bb);
t = fold_convert (itype, s0);
t = fold_build2 (MULT_EXPR, itype, t, fd->loop.step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (fd->loop.n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, fd->loop.n1);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
false, GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (fd->loop.v, t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
t = fold_convert (itype, e0);
t = fold_build2 (MULT_EXPR, itype, t, fd->loop.step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (fd->loop.n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, fd->loop.n1);
e = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
/* The code controlling the sequential loop replaces the
GIMPLE_OMP_CONTINUE. */
gsi = gsi_last_bb (cont_bb);
stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_CONTINUE);
vmain = gimple_omp_continue_control_use (stmt);
vback = gimple_omp_continue_control_def (stmt);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (vmain, fd->loop.step);
else
t = fold_build2 (PLUS_EXPR, type, vmain, fd->loop.step);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE,
true, GSI_SAME_STMT);
stmt = gimple_build_assign (vback, t);
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
t = build2 (fd->loop.cond_code, boolean_type_node, vback, e);
gsi_insert_before (&gsi, gimple_build_cond_empty (t), GSI_SAME_STMT);
/* Remove the GIMPLE_OMP_CONTINUE statement. */
gsi_remove (&gsi, true);
/* Replace the GIMPLE_OMP_RETURN with a barrier, or nothing. */
gsi = gsi_last_bb (exit_bb);
if (!gimple_omp_return_nowait_p (gsi_stmt (gsi)))
force_gimple_operand_gsi (&gsi, build_omp_barrier (), false, NULL_TREE,
false, GSI_SAME_STMT);
gsi_remove (&gsi, true);
/* Connect all the blocks. */
ep = make_edge (entry_bb, third_bb, EDGE_FALSE_VALUE);
ep->probability = REG_BR_PROB_BASE / 4 * 3;
ep = find_edge (entry_bb, second_bb);
ep->flags = EDGE_TRUE_VALUE;
ep->probability = REG_BR_PROB_BASE / 4;
find_edge (third_bb, seq_start_bb)->flags = EDGE_FALSE_VALUE;
find_edge (third_bb, fin_bb)->flags = EDGE_TRUE_VALUE;
find_edge (cont_bb, body_bb)->flags = EDGE_TRUE_VALUE;
find_edge (cont_bb, fin_bb)->flags = EDGE_FALSE_VALUE;
set_immediate_dominator (CDI_DOMINATORS, second_bb, entry_bb);
set_immediate_dominator (CDI_DOMINATORS, third_bb, entry_bb);
set_immediate_dominator (CDI_DOMINATORS, seq_start_bb, third_bb);
set_immediate_dominator (CDI_DOMINATORS, body_bb,
recompute_dominator (CDI_DOMINATORS, body_bb));
set_immediate_dominator (CDI_DOMINATORS, fin_bb,
recompute_dominator (CDI_DOMINATORS, fin_bb));
}
/* A subroutine of expand_omp_for. Generate code for a parallel
loop with static schedule and a specified chunk size. Given
parameters:
for (V = N1; V cond N2; V += STEP) BODY;
where COND is "<" or ">", we generate pseudocode
if (cond is <)
adj = STEP - 1;
else
adj = STEP + 1;
if ((__typeof (V)) -1 > 0 && cond is >)
n = -(adj + N2 - N1) / -STEP;
else
n = (adj + N2 - N1) / STEP;
trip = 0;
V = threadid * CHUNK * STEP + N1; -- this extra definition of V is
here so that V is defined
if the loop is not entered
L0:
s0 = (trip * nthreads + threadid) * CHUNK;
e0 = min(s0 + CHUNK, n);
if (s0 < n) goto L1; else goto L4;
L1:
V = s0 * STEP + N1;
e = e0 * STEP + N1;
L2:
BODY;
V += STEP;
if (V cond e) goto L2; else goto L3;
L3:
trip += 1;
goto L0;
L4:
*/
static void
expand_omp_for_static_chunk (struct omp_region *region, struct omp_for_data *fd)
{
tree n, s0, e0, e, t;
tree trip_var, trip_init, trip_main, trip_back, nthreads, threadid;
tree type, itype, v_main, v_back, v_extra;
basic_block entry_bb, exit_bb, body_bb, seq_start_bb, iter_part_bb;
basic_block trip_update_bb, cont_bb, fin_bb;
gimple_stmt_iterator si;
gimple stmt;
edge se;
itype = type = TREE_TYPE (fd->loop.v);
if (POINTER_TYPE_P (type))
itype = lang_hooks.types.type_for_size (TYPE_PRECISION (type), 0);
entry_bb = region->entry;
se = split_block (entry_bb, last_stmt (entry_bb));
entry_bb = se->src;
iter_part_bb = se->dest;
cont_bb = region->cont;
gcc_assert (EDGE_COUNT (iter_part_bb->succs) == 2);
gcc_assert (BRANCH_EDGE (iter_part_bb)->dest
== FALLTHRU_EDGE (cont_bb)->dest);
seq_start_bb = split_edge (FALLTHRU_EDGE (iter_part_bb));
body_bb = single_succ (seq_start_bb);
gcc_assert (BRANCH_EDGE (cont_bb)->dest == body_bb);
gcc_assert (EDGE_COUNT (cont_bb->succs) == 2);
fin_bb = FALLTHRU_EDGE (cont_bb)->dest;
trip_update_bb = split_edge (FALLTHRU_EDGE (cont_bb));
exit_bb = region->exit;
/* Trip and adjustment setup goes in ENTRY_BB. */
si = gsi_last_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_FOR);
t = build_call_expr (builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_THREADS), 0);
t = fold_convert (itype, t);
nthreads = force_gimple_operand_gsi (&si, t, true, NULL_TREE,
true, GSI_SAME_STMT);
t = build_call_expr (builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM), 0);
t = fold_convert (itype, t);
threadid = force_gimple_operand_gsi (&si, t, true, NULL_TREE,
true, GSI_SAME_STMT);
fd->loop.n1
= force_gimple_operand_gsi (&si, fold_convert (type, fd->loop.n1),
true, NULL_TREE, true, GSI_SAME_STMT);
fd->loop.n2
= force_gimple_operand_gsi (&si, fold_convert (itype, fd->loop.n2),
true, NULL_TREE, true, GSI_SAME_STMT);
fd->loop.step
= force_gimple_operand_gsi (&si, fold_convert (itype, fd->loop.step),
true, NULL_TREE, true, GSI_SAME_STMT);
fd->chunk_size
= force_gimple_operand_gsi (&si, fold_convert (itype, fd->chunk_size),
true, NULL_TREE, true, GSI_SAME_STMT);
t = build_int_cst (itype, (fd->loop.cond_code == LT_EXPR ? -1 : 1));
t = fold_build2 (PLUS_EXPR, itype, fd->loop.step, t);
t = fold_build2 (PLUS_EXPR, itype, t, fd->loop.n2);
t = fold_build2 (MINUS_EXPR, itype, t, fold_convert (itype, fd->loop.n1));
if (TYPE_UNSIGNED (itype) && fd->loop.cond_code == GT_EXPR)
t = fold_build2 (TRUNC_DIV_EXPR, itype,
fold_build1 (NEGATE_EXPR, itype, t),
fold_build1 (NEGATE_EXPR, itype, fd->loop.step));
else
t = fold_build2 (TRUNC_DIV_EXPR, itype, t, fd->loop.step);
t = fold_convert (itype, t);
n = force_gimple_operand_gsi (&si, t, true, NULL_TREE,
true, GSI_SAME_STMT);
trip_var = create_tmp_var (itype, ".trip");
if (gimple_in_ssa_p (cfun))
{
add_referenced_var (trip_var);
trip_init = make_ssa_name (trip_var, NULL);
trip_main = make_ssa_name (trip_var, NULL);
trip_back = make_ssa_name (trip_var, NULL);
}
else
{
trip_init = trip_var;
trip_main = trip_var;
trip_back = trip_var;
}
stmt = gimple_build_assign (trip_init, build_int_cst (itype, 0));
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
t = fold_build2 (MULT_EXPR, itype, threadid, fd->chunk_size);
t = fold_build2 (MULT_EXPR, itype, t, fd->loop.step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (fd->loop.n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, fd->loop.n1);
v_extra = force_gimple_operand_gsi (&si, t, true, NULL_TREE,
true, GSI_SAME_STMT);
/* Remove the GIMPLE_OMP_FOR. */
gsi_remove (&si, true);
/* Iteration space partitioning goes in ITER_PART_BB. */
si = gsi_last_bb (iter_part_bb);
t = fold_build2 (MULT_EXPR, itype, trip_main, nthreads);
t = fold_build2 (PLUS_EXPR, itype, t, threadid);
t = fold_build2 (MULT_EXPR, itype, t, fd->chunk_size);
s0 = force_gimple_operand_gsi (&si, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t = fold_build2 (PLUS_EXPR, itype, s0, fd->chunk_size);
t = fold_build2 (MIN_EXPR, itype, t, n);
e0 = force_gimple_operand_gsi (&si, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t = build2 (LT_EXPR, boolean_type_node, s0, n);
gsi_insert_after (&si, gimple_build_cond_empty (t), GSI_CONTINUE_LINKING);
/* Setup code for sequential iteration goes in SEQ_START_BB. */
si = gsi_start_bb (seq_start_bb);
t = fold_convert (itype, s0);
t = fold_build2 (MULT_EXPR, itype, t, fd->loop.step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (fd->loop.n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, fd->loop.n1);
t = force_gimple_operand_gsi (&si, t, false, NULL_TREE,
false, GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (fd->loop.v, t);
gsi_insert_after (&si, stmt, GSI_CONTINUE_LINKING);
t = fold_convert (itype, e0);
t = fold_build2 (MULT_EXPR, itype, t, fd->loop.step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (fd->loop.n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, fd->loop.n1);
e = force_gimple_operand_gsi (&si, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
/* The code controlling the sequential loop goes in CONT_BB,
replacing the GIMPLE_OMP_CONTINUE. */
si = gsi_last_bb (cont_bb);
stmt = gsi_stmt (si);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_CONTINUE);
v_main = gimple_omp_continue_control_use (stmt);
v_back = gimple_omp_continue_control_def (stmt);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (v_main, fd->loop.step);
else
t = fold_build2 (PLUS_EXPR, type, v_main, fd->loop.step);
stmt = gimple_build_assign (v_back, t);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
t = build2 (fd->loop.cond_code, boolean_type_node, v_back, e);
gsi_insert_before (&si, gimple_build_cond_empty (t), GSI_SAME_STMT);
/* Remove GIMPLE_OMP_CONTINUE. */
gsi_remove (&si, true);
/* Trip update code goes into TRIP_UPDATE_BB. */
si = gsi_start_bb (trip_update_bb);
t = build_int_cst (itype, 1);
t = build2 (PLUS_EXPR, itype, trip_main, t);
stmt = gimple_build_assign (trip_back, t);
gsi_insert_after (&si, stmt, GSI_CONTINUE_LINKING);
/* Replace the GIMPLE_OMP_RETURN with a barrier, or nothing. */
si = gsi_last_bb (exit_bb);
if (!gimple_omp_return_nowait_p (gsi_stmt (si)))
force_gimple_operand_gsi (&si, build_omp_barrier (), false, NULL_TREE,
false, GSI_SAME_STMT);
gsi_remove (&si, true);
/* Connect the new blocks. */
find_edge (iter_part_bb, seq_start_bb)->flags = EDGE_TRUE_VALUE;
find_edge (iter_part_bb, fin_bb)->flags = EDGE_FALSE_VALUE;
find_edge (cont_bb, body_bb)->flags = EDGE_TRUE_VALUE;
find_edge (cont_bb, trip_update_bb)->flags = EDGE_FALSE_VALUE;
redirect_edge_and_branch (single_succ_edge (trip_update_bb), iter_part_bb);
if (gimple_in_ssa_p (cfun))
{
gimple_stmt_iterator psi;
gimple phi;
edge re, ene;
edge_var_map_vector head;
edge_var_map *vm;
size_t i;
/* When we redirect the edge from trip_update_bb to iter_part_bb, we
remove arguments of the phi nodes in fin_bb. We need to create
appropriate phi nodes in iter_part_bb instead. */
se = single_pred_edge (fin_bb);
re = single_succ_edge (trip_update_bb);
head = redirect_edge_var_map_vector (re);
ene = single_succ_edge (entry_bb);
psi = gsi_start_phis (fin_bb);
for (i = 0; !gsi_end_p (psi) && VEC_iterate (edge_var_map, head, i, vm);
gsi_next (&psi), ++i)
{
gimple nphi;
source_location locus;
phi = gsi_stmt (psi);
t = gimple_phi_result (phi);
gcc_assert (t == redirect_edge_var_map_result (vm));
nphi = create_phi_node (t, iter_part_bb);
SSA_NAME_DEF_STMT (t) = nphi;
t = PHI_ARG_DEF_FROM_EDGE (phi, se);
locus = gimple_phi_arg_location_from_edge (phi, se);
/* A special case -- fd->loop.v is not yet computed in
iter_part_bb, we need to use v_extra instead. */
if (t == fd->loop.v)
t = v_extra;
add_phi_arg (nphi, t, ene, locus);
locus = redirect_edge_var_map_location (vm);
add_phi_arg (nphi, redirect_edge_var_map_def (vm), re, locus);
}
gcc_assert (!gsi_end_p (psi) && i == VEC_length (edge_var_map, head));
redirect_edge_var_map_clear (re);
while (1)
{
psi = gsi_start_phis (fin_bb);
if (gsi_end_p (psi))
break;
remove_phi_node (&psi, false);
}
/* Make phi node for trip. */
phi = create_phi_node (trip_main, iter_part_bb);
SSA_NAME_DEF_STMT (trip_main) = phi;
add_phi_arg (phi, trip_back, single_succ_edge (trip_update_bb),
UNKNOWN_LOCATION);
add_phi_arg (phi, trip_init, single_succ_edge (entry_bb),
UNKNOWN_LOCATION);
}
set_immediate_dominator (CDI_DOMINATORS, trip_update_bb, cont_bb);
set_immediate_dominator (CDI_DOMINATORS, iter_part_bb,
recompute_dominator (CDI_DOMINATORS, iter_part_bb));
set_immediate_dominator (CDI_DOMINATORS, fin_bb,
recompute_dominator (CDI_DOMINATORS, fin_bb));
set_immediate_dominator (CDI_DOMINATORS, seq_start_bb,
recompute_dominator (CDI_DOMINATORS, seq_start_bb));
set_immediate_dominator (CDI_DOMINATORS, body_bb,
recompute_dominator (CDI_DOMINATORS, body_bb));
}
/* Expand the OpenMP loop defined by REGION. */
static void
expand_omp_for (struct omp_region *region)
{
struct omp_for_data fd;
struct omp_for_data_loop *loops;
loops
= (struct omp_for_data_loop *)
alloca (gimple_omp_for_collapse (last_stmt (region->entry))
* sizeof (struct omp_for_data_loop));
extract_omp_for_data (last_stmt (region->entry), &fd, loops);
region->sched_kind = fd.sched_kind;
gcc_assert (EDGE_COUNT (region->entry->succs) == 2);
BRANCH_EDGE (region->entry)->flags &= ~EDGE_ABNORMAL;
FALLTHRU_EDGE (region->entry)->flags &= ~EDGE_ABNORMAL;
if (region->cont)
{
gcc_assert (EDGE_COUNT (region->cont->succs) == 2);
BRANCH_EDGE (region->cont)->flags &= ~EDGE_ABNORMAL;
FALLTHRU_EDGE (region->cont)->flags &= ~EDGE_ABNORMAL;
}
if (fd.sched_kind == OMP_CLAUSE_SCHEDULE_STATIC
&& !fd.have_ordered
&& fd.collapse == 1
&& region->cont != NULL)
{
if (fd.chunk_size == NULL)
expand_omp_for_static_nochunk (region, &fd);
else
expand_omp_for_static_chunk (region, &fd);
}
else
{
int fn_index, start_ix, next_ix;
if (fd.chunk_size == NULL
&& fd.sched_kind == OMP_CLAUSE_SCHEDULE_STATIC)
fd.chunk_size = integer_zero_node;
gcc_assert (fd.sched_kind != OMP_CLAUSE_SCHEDULE_AUTO);
fn_index = (fd.sched_kind == OMP_CLAUSE_SCHEDULE_RUNTIME)
? 3 : fd.sched_kind;
fn_index += fd.have_ordered * 4;
start_ix = ((int)BUILT_IN_GOMP_LOOP_STATIC_START) + fn_index;
next_ix = ((int)BUILT_IN_GOMP_LOOP_STATIC_NEXT) + fn_index;
if (fd.iter_type == long_long_unsigned_type_node)
{
start_ix += ((int)BUILT_IN_GOMP_LOOP_ULL_STATIC_START
- (int)BUILT_IN_GOMP_LOOP_STATIC_START);
next_ix += ((int)BUILT_IN_GOMP_LOOP_ULL_STATIC_NEXT
- (int)BUILT_IN_GOMP_LOOP_STATIC_NEXT);
}
expand_omp_for_generic (region, &fd, (enum built_in_function) start_ix,
(enum built_in_function) next_ix);
}
update_ssa (TODO_update_ssa_only_virtuals);
}
/* Expand code for an OpenMP sections directive. In pseudo code, we generate
v = GOMP_sections_start (n);
L0:
switch (v)
{
case 0:
goto L2;
case 1:
section 1;
goto L1;
case 2:
...
case n:
...
default:
abort ();
}
L1:
v = GOMP_sections_next ();
goto L0;
L2:
reduction;
If this is a combined parallel sections, replace the call to
GOMP_sections_start with call to GOMP_sections_next. */
static void
expand_omp_sections (struct omp_region *region)
{
tree t, u, vin = NULL, vmain, vnext, l2;
VEC (tree,heap) *label_vec;
unsigned len;
basic_block entry_bb, l0_bb, l1_bb, l2_bb, default_bb;
gimple_stmt_iterator si, switch_si;
gimple sections_stmt, stmt, cont;
edge_iterator ei;
edge e;
struct omp_region *inner;
unsigned i, casei;
bool exit_reachable = region->cont != NULL;
gcc_assert (region->exit != NULL);
entry_bb = region->entry;
l0_bb = single_succ (entry_bb);
l1_bb = region->cont;
l2_bb = region->exit;
if (single_pred_p (l2_bb) && single_pred (l2_bb) == l0_bb)
l2 = gimple_block_label (l2_bb);
else
{
/* This can happen if there are reductions. */
len = EDGE_COUNT (l0_bb->succs);
gcc_assert (len > 0);
e = EDGE_SUCC (l0_bb, len - 1);
si = gsi_last_bb (e->dest);
l2 = NULL_TREE;
if (gsi_end_p (si)
|| gimple_code (gsi_stmt (si)) != GIMPLE_OMP_SECTION)
l2 = gimple_block_label (e->dest);
else
FOR_EACH_EDGE (e, ei, l0_bb->succs)
{
si = gsi_last_bb (e->dest);
if (gsi_end_p (si)
|| gimple_code (gsi_stmt (si)) != GIMPLE_OMP_SECTION)
{
l2 = gimple_block_label (e->dest);
break;
}
}
}
if (exit_reachable)
default_bb = create_empty_bb (l1_bb->prev_bb);
else
default_bb = create_empty_bb (l0_bb);
/* We will build a switch() with enough cases for all the
GIMPLE_OMP_SECTION regions, a '0' case to handle the end of more work
and a default case to abort if something goes wrong. */
len = EDGE_COUNT (l0_bb->succs);
/* Use VEC_quick_push on label_vec throughout, since we know the size
in advance. */
label_vec = VEC_alloc (tree, heap, len);
/* The call to GOMP_sections_start goes in ENTRY_BB, replacing the
GIMPLE_OMP_SECTIONS statement. */
si = gsi_last_bb (entry_bb);
sections_stmt = gsi_stmt (si);
gcc_assert (gimple_code (sections_stmt) == GIMPLE_OMP_SECTIONS);
vin = gimple_omp_sections_control (sections_stmt);
if (!is_combined_parallel (region))
{
/* If we are not inside a combined parallel+sections region,
call GOMP_sections_start. */
t = build_int_cst (unsigned_type_node,
exit_reachable ? len - 1 : len);
u = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_START);
stmt = gimple_build_call (u, 1, t);
}
else
{
/* Otherwise, call GOMP_sections_next. */
u = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_NEXT);
stmt = gimple_build_call (u, 0);
}
gimple_call_set_lhs (stmt, vin);
gsi_insert_after (&si, stmt, GSI_SAME_STMT);
gsi_remove (&si, true);
/* The switch() statement replacing GIMPLE_OMP_SECTIONS_SWITCH goes in
L0_BB. */
switch_si = gsi_last_bb (l0_bb);
gcc_assert (gimple_code (gsi_stmt (switch_si)) == GIMPLE_OMP_SECTIONS_SWITCH);
if (exit_reachable)
{
cont = last_stmt (l1_bb);
gcc_assert (gimple_code (cont) == GIMPLE_OMP_CONTINUE);
vmain = gimple_omp_continue_control_use (cont);
vnext = gimple_omp_continue_control_def (cont);
}
else
{
vmain = vin;
vnext = NULL_TREE;
}
t = build_case_label (build_int_cst (unsigned_type_node, 0), NULL, l2);
VEC_quick_push (tree, label_vec, t);
i = 1;
/* Convert each GIMPLE_OMP_SECTION into a CASE_LABEL_EXPR. */
for (inner = region->inner, casei = 1;
inner;
inner = inner->next, i++, casei++)
{
basic_block s_entry_bb, s_exit_bb;
/* Skip optional reduction region. */
if (inner->type == GIMPLE_OMP_ATOMIC_LOAD)
{
--i;
--casei;
continue;
}
s_entry_bb = inner->entry;
s_exit_bb = inner->exit;
t = gimple_block_label (s_entry_bb);
u = build_int_cst (unsigned_type_node, casei);
u = build_case_label (u, NULL, t);
VEC_quick_push (tree, label_vec, u);
si = gsi_last_bb (s_entry_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_SECTION);
gcc_assert (i < len || gimple_omp_section_last_p (gsi_stmt (si)));
gsi_remove (&si, true);
single_succ_edge (s_entry_bb)->flags = EDGE_FALLTHRU;
if (s_exit_bb == NULL)
continue;
si = gsi_last_bb (s_exit_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_RETURN);
gsi_remove (&si, true);
single_succ_edge (s_exit_bb)->flags = EDGE_FALLTHRU;
}
/* Error handling code goes in DEFAULT_BB. */
t = gimple_block_label (default_bb);
u = build_case_label (NULL, NULL, t);
make_edge (l0_bb, default_bb, 0);
stmt = gimple_build_switch_vec (vmain, u, label_vec);
gsi_insert_after (&switch_si, stmt, GSI_SAME_STMT);
gsi_remove (&switch_si, true);
VEC_free (tree, heap, label_vec);
si = gsi_start_bb (default_bb);
stmt = gimple_build_call (builtin_decl_explicit (BUILT_IN_TRAP), 0);
gsi_insert_after (&si, stmt, GSI_CONTINUE_LINKING);
if (exit_reachable)
{
tree bfn_decl;
/* Code to get the next section goes in L1_BB. */
si = gsi_last_bb (l1_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_CONTINUE);
bfn_decl = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_NEXT);
stmt = gimple_build_call (bfn_decl, 0);
gimple_call_set_lhs (stmt, vnext);
gsi_insert_after (&si, stmt, GSI_SAME_STMT);
gsi_remove (&si, true);
single_succ_edge (l1_bb)->flags = EDGE_FALLTHRU;
}
/* Cleanup function replaces GIMPLE_OMP_RETURN in EXIT_BB. */
si = gsi_last_bb (l2_bb);
if (gimple_omp_return_nowait_p (gsi_stmt (si)))
t = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_END_NOWAIT);
else
t = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_END);
stmt = gimple_build_call (t, 0);
gsi_insert_after (&si, stmt, GSI_SAME_STMT);
gsi_remove (&si, true);
set_immediate_dominator (CDI_DOMINATORS, default_bb, l0_bb);
}
/* Expand code for an OpenMP single directive. We've already expanded
much of the code, here we simply place the GOMP_barrier call. */
static void
expand_omp_single (struct omp_region *region)
{
basic_block entry_bb, exit_bb;
gimple_stmt_iterator si;
bool need_barrier = false;
entry_bb = region->entry;
exit_bb = region->exit;
si = gsi_last_bb (entry_bb);
/* The terminal barrier at the end of a GOMP_single_copy sequence cannot
be removed. We need to ensure that the thread that entered the single
does not exit before the data is copied out by the other threads. */
if (find_omp_clause (gimple_omp_single_clauses (gsi_stmt (si)),
OMP_CLAUSE_COPYPRIVATE))
need_barrier = true;
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_SINGLE);
gsi_remove (&si, true);
single_succ_edge (entry_bb)->flags = EDGE_FALLTHRU;
si = gsi_last_bb (exit_bb);
if (!gimple_omp_return_nowait_p (gsi_stmt (si)) || need_barrier)
force_gimple_operand_gsi (&si, build_omp_barrier (), false, NULL_TREE,
false, GSI_SAME_STMT);
gsi_remove (&si, true);
single_succ_edge (exit_bb)->flags = EDGE_FALLTHRU;
}
/* Generic expansion for OpenMP synchronization directives: master,
ordered and critical. All we need to do here is remove the entry
and exit markers for REGION. */
static void
expand_omp_synch (struct omp_region *region)
{
basic_block entry_bb, exit_bb;
gimple_stmt_iterator si;
entry_bb = region->entry;
exit_bb = region->exit;
si = gsi_last_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_SINGLE
|| gimple_code (gsi_stmt (si)) == GIMPLE_OMP_MASTER
|| gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ORDERED
|| gimple_code (gsi_stmt (si)) == GIMPLE_OMP_CRITICAL);
gsi_remove (&si, true);
single_succ_edge (entry_bb)->flags = EDGE_FALLTHRU;
if (exit_bb)
{
si = gsi_last_bb (exit_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_RETURN);
gsi_remove (&si, true);
single_succ_edge (exit_bb)->flags = EDGE_FALLTHRU;
}
}
/* A subroutine of expand_omp_atomic. Attempt to implement the atomic
operation as a normal volatile load. */
static bool
expand_omp_atomic_load (basic_block load_bb, tree addr,
tree loaded_val, int index)
{
enum built_in_function tmpbase;
gimple_stmt_iterator gsi;
basic_block store_bb;
location_t loc;
gimple stmt;
tree decl, call, type, itype;
gsi = gsi_last_bb (load_bb);
stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_ATOMIC_LOAD);
loc = gimple_location (stmt);
/* ??? If the target does not implement atomic_load_optab[mode], and mode
is smaller than word size, then expand_atomic_load assumes that the load
is atomic. We could avoid the builtin entirely in this case. */
tmpbase = (enum built_in_function) (BUILT_IN_ATOMIC_LOAD_N + index + 1);
decl = builtin_decl_explicit (tmpbase);
if (decl == NULL_TREE)
return false;
type = TREE_TYPE (loaded_val);
itype = TREE_TYPE (TREE_TYPE (decl));
call = build_call_expr_loc (loc, decl, 2, addr,
build_int_cst (NULL, MEMMODEL_RELAXED));
if (!useless_type_conversion_p (type, itype))
call = fold_build1_loc (loc, VIEW_CONVERT_EXPR, type, call);
call = build2_loc (loc, MODIFY_EXPR, void_type_node, loaded_val, call);
force_gimple_operand_gsi (&gsi, call, true, NULL_TREE, true, GSI_SAME_STMT);
gsi_remove (&gsi, true);
store_bb = single_succ (load_bb);
gsi = gsi_last_bb (store_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_ATOMIC_STORE);
gsi_remove (&gsi, true);
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_no_phi);
return true;
}
/* A subroutine of expand_omp_atomic. Attempt to implement the atomic
operation as a normal volatile store. */
static bool
expand_omp_atomic_store (basic_block load_bb, tree addr,
tree loaded_val, tree stored_val, int index)
{
enum built_in_function tmpbase;
gimple_stmt_iterator gsi;
basic_block store_bb = single_succ (load_bb);
location_t loc;
gimple stmt;
tree decl, call, type, itype;
enum machine_mode imode;
bool exchange;
gsi = gsi_last_bb (load_bb);
stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_ATOMIC_LOAD);
/* If the load value is needed, then this isn't a store but an exchange. */
exchange = gimple_omp_atomic_need_value_p (stmt);
gsi = gsi_last_bb (store_bb);
stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_ATOMIC_STORE);
loc = gimple_location (stmt);
/* ??? If the target does not implement atomic_store_optab[mode], and mode
is smaller than word size, then expand_atomic_store assumes that the store
is atomic. We could avoid the builtin entirely in this case. */
tmpbase = (exchange ? BUILT_IN_ATOMIC_EXCHANGE_N : BUILT_IN_ATOMIC_STORE_N);
tmpbase = (enum built_in_function) ((int) tmpbase + index + 1);
decl = builtin_decl_explicit (tmpbase);
if (decl == NULL_TREE)
return false;
type = TREE_TYPE (stored_val);
/* Dig out the type of the function's second argument. */
itype = TREE_TYPE (decl);
itype = TYPE_ARG_TYPES (itype);
itype = TREE_CHAIN (itype);
itype = TREE_VALUE (itype);
imode = TYPE_MODE (itype);
if (exchange && !can_atomic_exchange_p (imode, true))
return false;
if (!useless_type_conversion_p (itype, type))
stored_val = fold_build1_loc (loc, VIEW_CONVERT_EXPR, itype, stored_val);
call = build_call_expr_loc (loc, decl, 3, addr, stored_val,
build_int_cst (NULL, MEMMODEL_RELAXED));
if (exchange)
{
if (!useless_type_conversion_p (type, itype))
call = build1_loc (loc, VIEW_CONVERT_EXPR, type, call);
call = build2_loc (loc, MODIFY_EXPR, void_type_node, loaded_val, call);
}
force_gimple_operand_gsi (&gsi, call, true, NULL_TREE, true, GSI_SAME_STMT);
gsi_remove (&gsi, true);
/* Remove the GIMPLE_OMP_ATOMIC_LOAD that we verified above. */
gsi = gsi_last_bb (load_bb);
gsi_remove (&gsi, true);
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_no_phi);
return true;
}
/* A subroutine of expand_omp_atomic. Attempt to implement the atomic
operation as a __atomic_fetch_op builtin. INDEX is log2 of the
size of the data type, and thus usable to find the index of the builtin
decl. Returns false if the expression is not of the proper form. */
static bool
expand_omp_atomic_fetch_op (basic_block load_bb,
tree addr, tree loaded_val,
tree stored_val, int index)
{
enum built_in_function oldbase, newbase, tmpbase;
tree decl, itype, call;
tree lhs, rhs;
basic_block store_bb = single_succ (load_bb);
gimple_stmt_iterator gsi;
gimple stmt;
location_t loc;
enum tree_code code;
bool need_old, need_new;
enum machine_mode imode;
/* We expect to find the following sequences:
load_bb:
GIMPLE_OMP_ATOMIC_LOAD (tmp, mem)
store_bb:
val = tmp OP something; (or: something OP tmp)
GIMPLE_OMP_STORE (val)
???FIXME: Allow a more flexible sequence.
Perhaps use data flow to pick the statements.
*/
gsi = gsi_after_labels (store_bb);
stmt = gsi_stmt (gsi);
loc = gimple_location (stmt);
if (!is_gimple_assign (stmt))
return false;
gsi_next (&gsi);
if (gimple_code (gsi_stmt (gsi)) != GIMPLE_OMP_ATOMIC_STORE)
return false;
need_new = gimple_omp_atomic_need_value_p (gsi_stmt (gsi));
need_old = gimple_omp_atomic_need_value_p (last_stmt (load_bb));
gcc_checking_assert (!need_old || !need_new);
if (!operand_equal_p (gimple_assign_lhs (stmt), stored_val, 0))
return false;
/* Check for one of the supported fetch-op operations. */
code = gimple_assign_rhs_code (stmt);
switch (code)
{
case PLUS_EXPR:
case POINTER_PLUS_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_ADD_N;
newbase = BUILT_IN_ATOMIC_ADD_FETCH_N;
break;
case MINUS_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_SUB_N;
newbase = BUILT_IN_ATOMIC_SUB_FETCH_N;
break;
case BIT_AND_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_AND_N;
newbase = BUILT_IN_ATOMIC_AND_FETCH_N;
break;
case BIT_IOR_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_OR_N;
newbase = BUILT_IN_ATOMIC_OR_FETCH_N;
break;
case BIT_XOR_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_XOR_N;
newbase = BUILT_IN_ATOMIC_XOR_FETCH_N;
break;
default:
return false;
}
/* Make sure the expression is of the proper form. */
if (operand_equal_p (gimple_assign_rhs1 (stmt), loaded_val, 0))
rhs = gimple_assign_rhs2 (stmt);
else if (commutative_tree_code (gimple_assign_rhs_code (stmt))
&& operand_equal_p (gimple_assign_rhs2 (stmt), loaded_val, 0))
rhs = gimple_assign_rhs1 (stmt);
else
return false;
tmpbase = ((enum built_in_function)
((need_new ? newbase : oldbase) + index + 1));
decl = builtin_decl_explicit (tmpbase);
if (decl == NULL_TREE)
return false;
itype = TREE_TYPE (TREE_TYPE (decl));
imode = TYPE_MODE (itype);
/* We could test all of the various optabs involved, but the fact of the
matter is that (with the exception of i486 vs i586 and xadd) all targets
that support any atomic operaton optab also implements compare-and-swap.
Let optabs.c take care of expanding any compare-and-swap loop. */
if (!can_compare_and_swap_p (imode, true))
return false;
gsi = gsi_last_bb (load_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_ATOMIC_LOAD);
/* OpenMP does not imply any barrier-like semantics on its atomic ops.
It only requires that the operation happen atomically. Thus we can
use the RELAXED memory model. */
call = build_call_expr_loc (loc, decl, 3, addr,
fold_convert_loc (loc, itype, rhs),
build_int_cst (NULL, MEMMODEL_RELAXED));
if (need_old || need_new)
{
lhs = need_old ? loaded_val : stored_val;
call = fold_convert_loc (loc, TREE_TYPE (lhs), call);
call = build2_loc (loc, MODIFY_EXPR, void_type_node, lhs, call);
}
else
call = fold_convert_loc (loc, void_type_node, call);
force_gimple_operand_gsi (&gsi, call, true, NULL_TREE, true, GSI_SAME_STMT);
gsi_remove (&gsi, true);
gsi = gsi_last_bb (store_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_ATOMIC_STORE);
gsi_remove (&gsi, true);
gsi = gsi_last_bb (store_bb);
gsi_remove (&gsi, true);
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_no_phi);
return true;
}
/* A subroutine of expand_omp_atomic. Implement the atomic operation as:
oldval = *addr;
repeat:
newval = rhs; // with oldval replacing *addr in rhs
oldval = __sync_val_compare_and_swap (addr, oldval, newval);
if (oldval != newval)
goto repeat;
INDEX is log2 of the size of the data type, and thus usable to find the
index of the builtin decl. */
static bool
expand_omp_atomic_pipeline (basic_block load_bb, basic_block store_bb,
tree addr, tree loaded_val, tree stored_val,
int index)
{
tree loadedi, storedi, initial, new_storedi, old_vali;
tree type, itype, cmpxchg, iaddr;
gimple_stmt_iterator si;
basic_block loop_header = single_succ (load_bb);
gimple phi, stmt;
edge e;
enum built_in_function fncode;
/* ??? We need a non-pointer interface to __atomic_compare_exchange in
order to use the RELAXED memory model effectively. */
fncode = (enum built_in_function)((int)BUILT_IN_SYNC_VAL_COMPARE_AND_SWAP_N
+ index + 1);
cmpxchg = builtin_decl_explicit (fncode);
if (cmpxchg == NULL_TREE)
return false;
type = TYPE_MAIN_VARIANT (TREE_TYPE (TREE_TYPE (addr)));
itype = TREE_TYPE (TREE_TYPE (cmpxchg));
if (!can_compare_and_swap_p (TYPE_MODE (itype), true))
return false;
/* Load the initial value, replacing the GIMPLE_OMP_ATOMIC_LOAD. */
si = gsi_last_bb (load_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ATOMIC_LOAD);
/* For floating-point values, we'll need to view-convert them to integers
so that we can perform the atomic compare and swap. Simplify the
following code by always setting up the "i"ntegral variables. */
if (!INTEGRAL_TYPE_P (type) && !POINTER_TYPE_P (type))
{
tree iaddr_val;
iaddr = create_tmp_var (build_pointer_type_for_mode (itype, ptr_mode,
true), NULL);
iaddr_val
= force_gimple_operand_gsi (&si,
fold_convert (TREE_TYPE (iaddr), addr),
false, NULL_TREE, true, GSI_SAME_STMT);
stmt = gimple_build_assign (iaddr, iaddr_val);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
loadedi = create_tmp_var (itype, NULL);
if (gimple_in_ssa_p (cfun))
{
add_referenced_var (iaddr);
add_referenced_var (loadedi);
loadedi = make_ssa_name (loadedi, NULL);
}
}
else
{
iaddr = addr;
loadedi = loaded_val;
}
initial
= force_gimple_operand_gsi (&si,
build2 (MEM_REF, TREE_TYPE (TREE_TYPE (iaddr)),
iaddr,
build_int_cst (TREE_TYPE (iaddr), 0)),
true, NULL_TREE, true, GSI_SAME_STMT);
/* Move the value to the LOADEDI temporary. */
if (gimple_in_ssa_p (cfun))
{
gcc_assert (gimple_seq_empty_p (phi_nodes (loop_header)));
phi = create_phi_node (loadedi, loop_header);
SSA_NAME_DEF_STMT (loadedi) = phi;
SET_USE (PHI_ARG_DEF_PTR_FROM_EDGE (phi, single_succ_edge (load_bb)),
initial);
}
else
gsi_insert_before (&si,
gimple_build_assign (loadedi, initial),
GSI_SAME_STMT);
if (loadedi != loaded_val)
{
gimple_stmt_iterator gsi2;
tree x;
x = build1 (VIEW_CONVERT_EXPR, type, loadedi);
gsi2 = gsi_start_bb (loop_header);
if (gimple_in_ssa_p (cfun))
{
gimple stmt;
x = force_gimple_operand_gsi (&gsi2, x, true, NULL_TREE,
true, GSI_SAME_STMT);
stmt = gimple_build_assign (loaded_val, x);
gsi_insert_before (&gsi2, stmt, GSI_SAME_STMT);
}
else
{
x = build2 (MODIFY_EXPR, TREE_TYPE (loaded_val), loaded_val, x);
force_gimple_operand_gsi (&gsi2, x, true, NULL_TREE,
true, GSI_SAME_STMT);
}
}
gsi_remove (&si, true);
si = gsi_last_bb (store_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ATOMIC_STORE);
if (iaddr == addr)
storedi = stored_val;
else
storedi =
force_gimple_operand_gsi (&si,
build1 (VIEW_CONVERT_EXPR, itype,
stored_val), true, NULL_TREE, true,
GSI_SAME_STMT);
/* Build the compare&swap statement. */
new_storedi = build_call_expr (cmpxchg, 3, iaddr, loadedi, storedi);
new_storedi = force_gimple_operand_gsi (&si,
fold_convert (TREE_TYPE (loadedi),
new_storedi),
true, NULL_TREE,
true, GSI_SAME_STMT);
if (gimple_in_ssa_p (cfun))
old_vali = loadedi;
else
{
old_vali = create_tmp_var (TREE_TYPE (loadedi), NULL);
if (gimple_in_ssa_p (cfun))
add_referenced_var (old_vali);
stmt = gimple_build_assign (old_vali, loadedi);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
stmt = gimple_build_assign (loadedi, new_storedi);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
}
/* Note that we always perform the comparison as an integer, even for
floating point. This allows the atomic operation to properly
succeed even with NaNs and -0.0. */
stmt = gimple_build_cond_empty
(build2 (NE_EXPR, boolean_type_node,
new_storedi, old_vali));
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
/* Update cfg. */
e = single_succ_edge (store_bb);
e->flags &= ~EDGE_FALLTHRU;
e->flags |= EDGE_FALSE_VALUE;
e = make_edge (store_bb, loop_header, EDGE_TRUE_VALUE);
/* Copy the new value to loadedi (we already did that before the condition
if we are not in SSA). */
if (gimple_in_ssa_p (cfun))
{
phi = gimple_seq_first_stmt (phi_nodes (loop_header));
SET_USE (PHI_ARG_DEF_PTR_FROM_EDGE (phi, e), new_storedi);
}
/* Remove GIMPLE_OMP_ATOMIC_STORE. */
gsi_remove (&si, true);
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_no_phi);
return true;
}
/* A subroutine of expand_omp_atomic. Implement the atomic operation as:
GOMP_atomic_start ();
*addr = rhs;
GOMP_atomic_end ();
The result is not globally atomic, but works so long as all parallel
references are within #pragma omp atomic directives. According to
responses received from omp@openmp.org, appears to be within spec.
Which makes sense, since that's how several other compilers handle
this situation as well.
LOADED_VAL and ADDR are the operands of GIMPLE_OMP_ATOMIC_LOAD we're
expanding. STORED_VAL is the operand of the matching
GIMPLE_OMP_ATOMIC_STORE.
We replace
GIMPLE_OMP_ATOMIC_LOAD (loaded_val, addr) with
loaded_val = *addr;
and replace
GIMPLE_OMP_ATOMIC_STORE (stored_val) with
*addr = stored_val;
*/
static bool
expand_omp_atomic_mutex (basic_block load_bb, basic_block store_bb,
tree addr, tree loaded_val, tree stored_val)
{
gimple_stmt_iterator si;
gimple stmt;
tree t;
si = gsi_last_bb (load_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ATOMIC_LOAD);
t = builtin_decl_explicit (BUILT_IN_GOMP_ATOMIC_START);
t = build_call_expr (t, 0);
force_gimple_operand_gsi (&si, t, true, NULL_TREE, true, GSI_SAME_STMT);
stmt = gimple_build_assign (loaded_val, build_simple_mem_ref (addr));
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
gsi_remove (&si, true);
si = gsi_last_bb (store_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ATOMIC_STORE);
stmt = gimple_build_assign (build_simple_mem_ref (unshare_expr (addr)),
stored_val);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
t = builtin_decl_explicit (BUILT_IN_GOMP_ATOMIC_END);
t = build_call_expr (t, 0);
force_gimple_operand_gsi (&si, t, true, NULL_TREE, true, GSI_SAME_STMT);
gsi_remove (&si, true);
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_no_phi);
return true;
}
/* Expand an GIMPLE_OMP_ATOMIC statement. We try to expand
using expand_omp_atomic_fetch_op. If it failed, we try to
call expand_omp_atomic_pipeline, and if it fails too, the
ultimate fallback is wrapping the operation in a mutex
(expand_omp_atomic_mutex). REGION is the atomic region built
by build_omp_regions_1(). */
static void
expand_omp_atomic (struct omp_region *region)
{
basic_block load_bb = region->entry, store_bb = region->exit;
gimple load = last_stmt (load_bb), store = last_stmt (store_bb);
tree loaded_val = gimple_omp_atomic_load_lhs (load);
tree addr = gimple_omp_atomic_load_rhs (load);
tree stored_val = gimple_omp_atomic_store_val (store);
tree type = TYPE_MAIN_VARIANT (TREE_TYPE (TREE_TYPE (addr)));
HOST_WIDE_INT index;
/* Make sure the type is one of the supported sizes. */
index = tree_low_cst (TYPE_SIZE_UNIT (type), 1);
index = exact_log2 (index);
if (index >= 0 && index <= 4)
{
unsigned int align = TYPE_ALIGN_UNIT (type);
/* __sync builtins require strict data alignment. */
if (exact_log2 (align) >= index)
{
/* Atomic load. */
if (loaded_val == stored_val
&& (GET_MODE_CLASS (TYPE_MODE (type)) == MODE_INT
|| GET_MODE_CLASS (TYPE_MODE (type)) == MODE_FLOAT)
&& GET_MODE_BITSIZE (TYPE_MODE (type)) <= BITS_PER_WORD
&& expand_omp_atomic_load (load_bb, addr, loaded_val, index))
return;
/* Atomic store. */
if ((GET_MODE_CLASS (TYPE_MODE (type)) == MODE_INT
|| GET_MODE_CLASS (TYPE_MODE (type)) == MODE_FLOAT)
&& GET_MODE_BITSIZE (TYPE_MODE (type)) <= BITS_PER_WORD
&& store_bb == single_succ (load_bb)
&& first_stmt (store_bb) == store
&& expand_omp_atomic_store (load_bb, addr, loaded_val,
stored_val, index))
return;
/* When possible, use specialized atomic update functions. */
if ((INTEGRAL_TYPE_P (type) || POINTER_TYPE_P (type))
&& store_bb == single_succ (load_bb)
&& expand_omp_atomic_fetch_op (load_bb, addr,
loaded_val, stored_val, index))
return;
/* If we don't have specialized __sync builtins, try and implement
as a compare and swap loop. */
if (expand_omp_atomic_pipeline (load_bb, store_bb, addr,
loaded_val, stored_val, index))
return;
}
}
/* The ultimate fallback is wrapping the operation in a mutex. */
expand_omp_atomic_mutex (load_bb, store_bb, addr, loaded_val, stored_val);
}
/* Expand the parallel region tree rooted at REGION. Expansion
proceeds in depth-first order. Innermost regions are expanded
first. This way, parallel regions that require a new function to
be created (e.g., GIMPLE_OMP_PARALLEL) can be expanded without having any
internal dependencies in their body. */
static void
expand_omp (struct omp_region *region)
{
while (region)
{
location_t saved_location;
/* First, determine whether this is a combined parallel+workshare
region. */
if (region->type == GIMPLE_OMP_PARALLEL)
determine_parallel_type (region);
if (region->inner)
expand_omp (region->inner);
saved_location = input_location;
if (gimple_has_location (last_stmt (region->entry)))
input_location = gimple_location (last_stmt (region->entry));
switch (region->type)
{
case GIMPLE_OMP_PARALLEL:
case GIMPLE_OMP_TASK:
expand_omp_taskreg (region);
break;
case GIMPLE_OMP_FOR:
expand_omp_for (region);
break;
case GIMPLE_OMP_SECTIONS:
expand_omp_sections (region);
break;
case GIMPLE_OMP_SECTION:
/* Individual omp sections are handled together with their
parent GIMPLE_OMP_SECTIONS region. */
break;
case GIMPLE_OMP_SINGLE:
expand_omp_single (region);
break;
case GIMPLE_OMP_MASTER:
case GIMPLE_OMP_ORDERED:
case GIMPLE_OMP_CRITICAL:
expand_omp_synch (region);
break;
case GIMPLE_OMP_ATOMIC_LOAD:
expand_omp_atomic (region);
break;
default:
gcc_unreachable ();
}
input_location = saved_location;
region = region->next;
}
}
/* Helper for build_omp_regions. Scan the dominator tree starting at
block BB. PARENT is the region that contains BB. If SINGLE_TREE is
true, the function ends once a single tree is built (otherwise, whole
forest of OMP constructs may be built). */
static void
build_omp_regions_1 (basic_block bb, struct omp_region *parent,
bool single_tree)
{
gimple_stmt_iterator gsi;
gimple stmt;
basic_block son;
gsi = gsi_last_bb (bb);
if (!gsi_end_p (gsi) && is_gimple_omp (gsi_stmt (gsi)))
{
struct omp_region *region;
enum gimple_code code;
stmt = gsi_stmt (gsi);
code = gimple_code (stmt);
if (code == GIMPLE_OMP_RETURN)
{
/* STMT is the return point out of region PARENT. Mark it
as the exit point and make PARENT the immediately
enclosing region. */
gcc_assert (parent);
region = parent;
region->exit = bb;
parent = parent->outer;
}
else if (code == GIMPLE_OMP_ATOMIC_STORE)
{
/* GIMPLE_OMP_ATOMIC_STORE is analoguous to
GIMPLE_OMP_RETURN, but matches with
GIMPLE_OMP_ATOMIC_LOAD. */
gcc_assert (parent);
gcc_assert (parent->type == GIMPLE_OMP_ATOMIC_LOAD);
region = parent;
region->exit = bb;
parent = parent->outer;
}
else if (code == GIMPLE_OMP_CONTINUE)
{
gcc_assert (parent);
parent->cont = bb;
}
else if (code == GIMPLE_OMP_SECTIONS_SWITCH)
{
/* GIMPLE_OMP_SECTIONS_SWITCH is part of
GIMPLE_OMP_SECTIONS, and we do nothing for it. */
;
}
else
{
/* Otherwise, this directive becomes the parent for a new
region. */
region = new_omp_region (bb, code, parent);
parent = region;
}
}
if (single_tree && !parent)
return;
for (son = first_dom_son (CDI_DOMINATORS, bb);
son;
son = next_dom_son (CDI_DOMINATORS, son))
build_omp_regions_1 (son, parent, single_tree);
}
/* Builds the tree of OMP regions rooted at ROOT, storing it to
root_omp_region. */
static void
build_omp_regions_root (basic_block root)
{
gcc_assert (root_omp_region == NULL);
build_omp_regions_1 (root, NULL, true);
gcc_assert (root_omp_region != NULL);
}
/* Expands omp construct (and its subconstructs) starting in HEAD. */
void
omp_expand_local (basic_block head)
{
build_omp_regions_root (head);
if (dump_file && (dump_flags & TDF_DETAILS))
{
fprintf (dump_file, "\nOMP region tree\n\n");
dump_omp_region (dump_file, root_omp_region, 0);
fprintf (dump_file, "\n");
}
remove_exit_barriers (root_omp_region);
expand_omp (root_omp_region);
free_omp_regions ();
}
/* Scan the CFG and build a tree of OMP regions. Return the root of
the OMP region tree. */
static void
build_omp_regions (void)
{
gcc_assert (root_omp_region == NULL);
calculate_dominance_info (CDI_DOMINATORS);
build_omp_regions_1 (ENTRY_BLOCK_PTR, NULL, false);
}
/* Main entry point for expanding OMP-GIMPLE into runtime calls. */
static unsigned int
execute_expand_omp (void)
{
build_omp_regions ();
if (!root_omp_region)
return 0;
if (dump_file)
{
fprintf (dump_file, "\nOMP region tree\n\n");
dump_omp_region (dump_file, root_omp_region, 0);
fprintf (dump_file, "\n");
}
remove_exit_barriers (root_omp_region);
expand_omp (root_omp_region);
cleanup_tree_cfg ();
free_omp_regions ();
return 0;
}
/* OMP expansion -- the default pass, run before creation of SSA form. */
static bool
gate_expand_omp (void)
{
return (flag_openmp != 0 && !seen_error ());
}
struct gimple_opt_pass pass_expand_omp =
{
{
GIMPLE_PASS,
"ompexp", /* name */
gate_expand_omp, /* gate */
execute_expand_omp, /* execute */
NULL, /* sub */
NULL, /* next */
0, /* static_pass_number */
TV_NONE, /* tv_id */
PROP_gimple_any, /* properties_required */
0, /* properties_provided */
0, /* properties_destroyed */
0, /* todo_flags_start */
0 /* todo_flags_finish */
}
};
/* Routines to lower OpenMP directives into OMP-GIMPLE. */
/* Lower the OpenMP sections directive in the current statement in GSI_P.
CTX is the enclosing OMP context for the current statement. */
static void
lower_omp_sections (gimple_stmt_iterator *gsi_p, omp_context *ctx)
{
tree block, control;
gimple_stmt_iterator tgsi;
unsigned i, len;
gimple stmt, new_stmt, bind, t;
gimple_seq ilist, dlist, olist, new_body, body;
struct gimplify_ctx gctx;
stmt = gsi_stmt (*gsi_p);
push_gimplify_context (&gctx);
dlist = NULL;
ilist = NULL;
lower_rec_input_clauses (gimple_omp_sections_clauses (stmt),
&ilist, &dlist, ctx);
tgsi = gsi_start (gimple_omp_body (stmt));
for (len = 0; !gsi_end_p (tgsi); len++, gsi_next (&tgsi))
continue;
tgsi = gsi_start (gimple_omp_body (stmt));
body = NULL;
for (i = 0; i < len; i++, gsi_next (&tgsi))
{
omp_context *sctx;
gimple sec_start;
sec_start = gsi_stmt (tgsi);
sctx = maybe_lookup_ctx (sec_start);
gcc_assert (sctx);
gimple_seq_add_stmt (&body, sec_start);
lower_omp (gimple_omp_body (sec_start), sctx);
gimple_seq_add_seq (&body, gimple_omp_body (sec_start));
gimple_omp_set_body (sec_start, NULL);
if (i == len - 1)
{
gimple_seq l = NULL;
lower_lastprivate_clauses (gimple_omp_sections_clauses (stmt), NULL,
&l, ctx);
gimple_seq_add_seq (&body, l);
gimple_omp_section_set_last (sec_start);
}
gimple_seq_add_stmt (&body, gimple_build_omp_return (false));
}
block = make_node (BLOCK);
bind = gimple_build_bind (NULL, body, block);
olist = NULL;
lower_reduction_clauses (gimple_omp_sections_clauses (stmt), &olist, ctx);
block = make_node (BLOCK);
new_stmt = gimple_build_bind (NULL, NULL, block);
pop_gimplify_context (new_stmt);
gimple_bind_append_vars (new_stmt, ctx->block_vars);
BLOCK_VARS (block) = gimple_bind_vars (bind);
if (BLOCK_VARS (block))
TREE_USED (block) = 1;
new_body = NULL;
gimple_seq_add_seq (&new_body, ilist);
gimple_seq_add_stmt (&new_body, stmt);
gimple_seq_add_stmt (&new_body, gimple_build_omp_sections_switch ());
gimple_seq_add_stmt (&new_body, bind);
control = create_tmp_var (unsigned_type_node, ".section");
t = gimple_build_omp_continue (control, control);
gimple_omp_sections_set_control (stmt, control);
gimple_seq_add_stmt (&new_body, t);
gimple_seq_add_seq (&new_body, olist);
gimple_seq_add_seq (&new_body, dlist);
new_body = maybe_catch_exception (new_body);
t = gimple_build_omp_return
(!!find_omp_clause (gimple_omp_sections_clauses (stmt),
OMP_CLAUSE_NOWAIT));
gimple_seq_add_stmt (&new_body, t);
gimple_bind_set_body (new_stmt, new_body);
gimple_omp_set_body (stmt, NULL);
gsi_replace (gsi_p, new_stmt, true);
}
/* A subroutine of lower_omp_single. Expand the simple form of
a GIMPLE_OMP_SINGLE, without a copyprivate clause:
if (GOMP_single_start ())
BODY;
[ GOMP_barrier (); ] -> unless 'nowait' is present.
FIXME. It may be better to delay expanding the logic of this until
pass_expand_omp. The expanded logic may make the job more difficult
to a synchronization analysis pass. */
static void
lower_omp_single_simple (gimple single_stmt, gimple_seq *pre_p)
{
location_t loc = gimple_location (single_stmt);
tree tlabel = create_artificial_label (loc);
tree flabel = create_artificial_label (loc);
gimple call, cond;
tree lhs, decl;
decl = builtin_decl_explicit (BUILT_IN_GOMP_SINGLE_START);
lhs = create_tmp_var (TREE_TYPE (TREE_TYPE (decl)), NULL);
call = gimple_build_call (decl, 0);
gimple_call_set_lhs (call, lhs);
gimple_seq_add_stmt (pre_p, call);
cond = gimple_build_cond (EQ_EXPR, lhs,
fold_convert_loc (loc, TREE_TYPE (lhs),
boolean_true_node),
tlabel, flabel);
gimple_seq_add_stmt (pre_p, cond);
gimple_seq_add_stmt (pre_p, gimple_build_label (tlabel));
gimple_seq_add_seq (pre_p, gimple_omp_body (single_stmt));
gimple_seq_add_stmt (pre_p, gimple_build_label (flabel));
}
/* A subroutine of lower_omp_single. Expand the simple form of
a GIMPLE_OMP_SINGLE, with a copyprivate clause:
#pragma omp single copyprivate (a, b, c)
Create a new structure to hold copies of 'a', 'b' and 'c' and emit:
{
if ((copyout_p = GOMP_single_copy_start ()) == NULL)
{
BODY;
copyout.a = a;
copyout.b = b;
copyout.c = c;
GOMP_single_copy_end (©out);
}
else
{
a = copyout_p->a;
b = copyout_p->b;
c = copyout_p->c;
}
GOMP_barrier ();
}
FIXME. It may be better to delay expanding the logic of this until
pass_expand_omp. The expanded logic may make the job more difficult
to a synchronization analysis pass. */
static void
lower_omp_single_copy (gimple single_stmt, gimple_seq *pre_p, omp_context *ctx)
{
tree ptr_type, t, l0, l1, l2, bfn_decl;
gimple_seq copyin_seq;
location_t loc = gimple_location (single_stmt);
ctx->sender_decl = create_tmp_var (ctx->record_type, ".omp_copy_o");
ptr_type = build_pointer_type (ctx->record_type);
ctx->receiver_decl = create_tmp_var (ptr_type, ".omp_copy_i");
l0 = create_artificial_label (loc);
l1 = create_artificial_label (loc);
l2 = create_artificial_label (loc);
bfn_decl = builtin_decl_explicit (BUILT_IN_GOMP_SINGLE_COPY_START);
t = build_call_expr_loc (loc, bfn_decl, 0);
t = fold_convert_loc (loc, ptr_type, t);
gimplify_assign (ctx->receiver_decl, t, pre_p);
t = build2 (EQ_EXPR, boolean_type_node, ctx->receiver_decl,
build_int_cst (ptr_type, 0));
t = build3 (COND_EXPR, void_type_node, t,
build_and_jump (&l0), build_and_jump (&l1));
gimplify_and_add (t, pre_p);
gimple_seq_add_stmt (pre_p, gimple_build_label (l0));
gimple_seq_add_seq (pre_p, gimple_omp_body (single_stmt));
copyin_seq = NULL;
lower_copyprivate_clauses (gimple_omp_single_clauses (single_stmt), pre_p,
©in_seq, ctx);
t = build_fold_addr_expr_loc (loc, ctx->sender_decl);
bfn_decl = builtin_decl_explicit (BUILT_IN_GOMP_SINGLE_COPY_END);
t = build_call_expr_loc (loc, bfn_decl, 1, t);
gimplify_and_add (t, pre_p);
t = build_and_jump (&l2);
gimplify_and_add (t, pre_p);
gimple_seq_add_stmt (pre_p, gimple_build_label (l1));
gimple_seq_add_seq (pre_p, copyin_seq);
gimple_seq_add_stmt (pre_p, gimple_build_label (l2));
}
/* Expand code for an OpenMP single directive. */
static void
lower_omp_single (gimple_stmt_iterator *gsi_p, omp_context *ctx)
{
tree block;
gimple t, bind, single_stmt = gsi_stmt (*gsi_p);
gimple_seq bind_body, dlist;
struct gimplify_ctx gctx;
push_gimplify_context (&gctx);
bind_body = NULL;
lower_rec_input_clauses (gimple_omp_single_clauses (single_stmt),
&bind_body, &dlist, ctx);
lower_omp (gimple_omp_body (single_stmt), ctx);
gimple_seq_add_stmt (&bind_body, single_stmt);
if (ctx->record_type)
lower_omp_single_copy (single_stmt, &bind_body, ctx);
else
lower_omp_single_simple (single_stmt, &bind_body);
gimple_omp_set_body (single_stmt, NULL);
gimple_seq_add_seq (&bind_body, dlist);
bind_body = maybe_catch_exception (bind_body);
t = gimple_build_omp_return
(!!find_omp_clause (gimple_omp_single_clauses (single_stmt),
OMP_CLAUSE_NOWAIT));
gimple_seq_add_stmt (&bind_body, t);
block = make_node (BLOCK);
bind = gimple_build_bind (NULL, bind_body, block);
pop_gimplify_context (bind);
gimple_bind_append_vars (bind, ctx->block_vars);
BLOCK_VARS (block) = ctx->block_vars;
gsi_replace (gsi_p, bind, true);
if (BLOCK_VARS (block))
TREE_USED (block) = 1;
}
/* Expand code for an OpenMP master directive. */
static void
lower_omp_master (gimple_stmt_iterator *gsi_p, omp_context *ctx)
{
tree block, lab = NULL, x, bfn_decl;
gimple stmt = gsi_stmt (*gsi_p), bind;
location_t loc = gimple_location (stmt);
gimple_seq tseq;
struct gimplify_ctx gctx;
push_gimplify_context (&gctx);
block = make_node (BLOCK);
bind = gimple_build_bind (NULL, gimple_seq_alloc_with_stmt (stmt),
block);
bfn_decl = builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM);
x = build_call_expr_loc (loc, bfn_decl, 0);
x = build2 (EQ_EXPR, boolean_type_node, x, integer_zero_node);
x = build3 (COND_EXPR, void_type_node, x, NULL, build_and_jump (&lab));
tseq = NULL;
gimplify_and_add (x, &tseq);
gimple_bind_add_seq (bind, tseq);
lower_omp (gimple_omp_body (stmt), ctx);
gimple_omp_set_body (stmt, maybe_catch_exception (gimple_omp_body (stmt)));
gimple_bind_add_seq (bind, gimple_omp_body (stmt));
gimple_omp_set_body (stmt, NULL);
gimple_bind_add_stmt (bind, gimple_build_label (lab));
gimple_bind_add_stmt (bind, gimple_build_omp_return (true));
pop_gimplify_context (bind);
gimple_bind_append_vars (bind, ctx->block_vars);
BLOCK_VARS (block) = ctx->block_vars;
gsi_replace (gsi_p, bind, true);
}
/* Expand code for an OpenMP ordered directive. */
static void
lower_omp_ordered (gimple_stmt_iterator *gsi_p, omp_context *ctx)
{
tree block;
gimple stmt = gsi_stmt (*gsi_p), bind, x;
struct gimplify_ctx gctx;
push_gimplify_context (&gctx);
block = make_node (BLOCK);
bind = gimple_build_bind (NULL, gimple_seq_alloc_with_stmt (stmt),
block);
x = gimple_build_call (builtin_decl_explicit (BUILT_IN_GOMP_ORDERED_START),
0);
gimple_bind_add_stmt (bind, x);
lower_omp (gimple_omp_body (stmt), ctx);
gimple_omp_set_body (stmt, maybe_catch_exception (gimple_omp_body (stmt)));
gimple_bind_add_seq (bind, gimple_omp_body (stmt));
gimple_omp_set_body (stmt, NULL);
x = gimple_build_call (builtin_decl_explicit (BUILT_IN_GOMP_ORDERED_END), 0);
gimple_bind_add_stmt (bind, x);
gimple_bind_add_stmt (bind, gimple_build_omp_return (true));
pop_gimplify_context (bind);
gimple_bind_append_vars (bind, ctx->block_vars);
BLOCK_VARS (block) = gimple_bind_vars (bind);
gsi_replace (gsi_p, bind, true);
}
/* Gimplify a GIMPLE_OMP_CRITICAL statement. This is a relatively simple
substitution of a couple of function calls. But in the NAMED case,
requires that languages coordinate a symbol name. It is therefore
best put here in common code. */
static GTY((param1_is (tree), param2_is (tree)))
splay_tree critical_name_mutexes;
static void
lower_omp_critical (gimple_stmt_iterator *gsi_p, omp_context *ctx)
{
tree block;
tree name, lock, unlock;
gimple stmt = gsi_stmt (*gsi_p), bind;
location_t loc = gimple_location (stmt);
gimple_seq tbody;
struct gimplify_ctx gctx;
name = gimple_omp_critical_name (stmt);
if (name)
{
tree decl;
splay_tree_node n;
if (!critical_name_mutexes)
critical_name_mutexes
= splay_tree_new_ggc (splay_tree_compare_pointers,
ggc_alloc_splay_tree_tree_node_tree_node_splay_tree_s,
ggc_alloc_splay_tree_tree_node_tree_node_splay_tree_node_s);
n = splay_tree_lookup (critical_name_mutexes, (splay_tree_key) name);
if (n == NULL)
{
char *new_str;
decl = create_tmp_var_raw (ptr_type_node, NULL);
new_str = ACONCAT ((".gomp_critical_user_",
IDENTIFIER_POINTER (name), NULL));
DECL_NAME (decl) = get_identifier (new_str);
TREE_PUBLIC (decl) = 1;
TREE_STATIC (decl) = 1;
DECL_COMMON (decl) = 1;
DECL_ARTIFICIAL (decl) = 1;
DECL_IGNORED_P (decl) = 1;
varpool_finalize_decl (decl);
splay_tree_insert (critical_name_mutexes, (splay_tree_key) name,
(splay_tree_value) decl);
}
else
decl = (tree) n->value;
lock = builtin_decl_explicit (BUILT_IN_GOMP_CRITICAL_NAME_START);
lock = build_call_expr_loc (loc, lock, 1, build_fold_addr_expr_loc (loc, decl));
unlock = builtin_decl_explicit (BUILT_IN_GOMP_CRITICAL_NAME_END);
unlock = build_call_expr_loc (loc, unlock, 1,
build_fold_addr_expr_loc (loc, decl));
}
else
{
lock = builtin_decl_explicit (BUILT_IN_GOMP_CRITICAL_START);
lock = build_call_expr_loc (loc, lock, 0);
unlock = builtin_decl_explicit (BUILT_IN_GOMP_CRITICAL_END);
unlock = build_call_expr_loc (loc, unlock, 0);
}
push_gimplify_context (&gctx);
block = make_node (BLOCK);
bind = gimple_build_bind (NULL, gimple_seq_alloc_with_stmt (stmt), block);
tbody = gimple_bind_body (bind);
gimplify_and_add (lock, &tbody);
gimple_bind_set_body (bind, tbody);
lower_omp (gimple_omp_body (stmt), ctx);
gimple_omp_set_body (stmt, maybe_catch_exception (gimple_omp_body (stmt)));
gimple_bind_add_seq (bind, gimple_omp_body (stmt));
gimple_omp_set_body (stmt, NULL);
tbody = gimple_bind_body (bind);
gimplify_and_add (unlock, &tbody);
gimple_bind_set_body (bind, tbody);
gimple_bind_add_stmt (bind, gimple_build_omp_return (true));
pop_gimplify_context (bind);
gimple_bind_append_vars (bind, ctx->block_vars);
BLOCK_VARS (block) = gimple_bind_vars (bind);
gsi_replace (gsi_p, bind, true);
}
/* A subroutine of lower_omp_for. Generate code to emit the predicate
for a lastprivate clause. Given a loop control predicate of (V
cond N2), we gate the clause on (!(V cond N2)). The lowered form
is appended to *DLIST, iterator initialization is appended to
*BODY_P. */
static void
lower_omp_for_lastprivate (struct omp_for_data *fd, gimple_seq *body_p,
gimple_seq *dlist, struct omp_context *ctx)
{
tree clauses, cond, vinit;
enum tree_code cond_code;
gimple_seq stmts;
cond_code = fd->loop.cond_code;
cond_code = cond_code == LT_EXPR ? GE_EXPR : LE_EXPR;
/* When possible, use a strict equality expression. This can let VRP
type optimizations deduce the value and remove a copy. */
if (host_integerp (fd->loop.step, 0))
{
HOST_WIDE_INT step = TREE_INT_CST_LOW (fd->loop.step);
if (step == 1 || step == -1)
cond_code = EQ_EXPR;
}
cond = build2 (cond_code, boolean_type_node, fd->loop.v, fd->loop.n2);
clauses = gimple_omp_for_clauses (fd->for_stmt);
stmts = NULL;
lower_lastprivate_clauses (clauses, cond, &stmts, ctx);
if (!gimple_seq_empty_p (stmts))
{
gimple_seq_add_seq (&stmts, *dlist);
*dlist = stmts;
/* Optimize: v = 0; is usually cheaper than v = some_other_constant. */
vinit = fd->loop.n1;
if (cond_code == EQ_EXPR
&& host_integerp (fd->loop.n2, 0)
&& ! integer_zerop (fd->loop.n2))
vinit = build_int_cst (TREE_TYPE (fd->loop.v), 0);
/* Initialize the iterator variable, so that threads that don't execute
any iterations don't execute the lastprivate clauses by accident. */
gimplify_assign (fd->loop.v, vinit, body_p);
}
}
/* Lower code for an OpenMP loop directive. */
static void
lower_omp_for (gimple_stmt_iterator *gsi_p, omp_context *ctx)
{
tree *rhs_p, block;
struct omp_for_data fd;
gimple stmt = gsi_stmt (*gsi_p), new_stmt;
gimple_seq omp_for_body, body, dlist;
size_t i;
struct gimplify_ctx gctx;
push_gimplify_context (&gctx);
lower_omp (gimple_omp_for_pre_body (stmt), ctx);
lower_omp (gimple_omp_body (stmt), ctx);
block = make_node (BLOCK);
new_stmt = gimple_build_bind (NULL, NULL, block);
/* Move declaration of temporaries in the loop body before we make
it go away. */
omp_for_body = gimple_omp_body (stmt);
if (!gimple_seq_empty_p (omp_for_body)
&& gimple_code (gimple_seq_first_stmt (omp_for_body)) == GIMPLE_BIND)
{
tree vars = gimple_bind_vars (gimple_seq_first_stmt (omp_for_body));
gimple_bind_append_vars (new_stmt, vars);
}
/* The pre-body and input clauses go before the lowered GIMPLE_OMP_FOR. */
dlist = NULL;
body = NULL;
lower_rec_input_clauses (gimple_omp_for_clauses (stmt), &body, &dlist, ctx);
gimple_seq_add_seq (&body, gimple_omp_for_pre_body (stmt));
/* Lower the header expressions. At this point, we can assume that
the header is of the form:
#pragma omp for (V = VAL1; V {<|>|<=|>=} VAL2; V = V [+-] VAL3)
We just need to make sure that VAL1, VAL2 and VAL3 are lowered
using the .omp_data_s mapping, if needed. */
for (i = 0; i < gimple_omp_for_collapse (stmt); i++)
{
rhs_p = gimple_omp_for_initial_ptr (stmt, i);
if (!is_gimple_min_invariant (*rhs_p))
*rhs_p = get_formal_tmp_var (*rhs_p, &body);
rhs_p = gimple_omp_for_final_ptr (stmt, i);
if (!is_gimple_min_invariant (*rhs_p))
*rhs_p = get_formal_tmp_var (*rhs_p, &body);
rhs_p = &TREE_OPERAND (gimple_omp_for_incr (stmt, i), 1);
if (!is_gimple_min_invariant (*rhs_p))
*rhs_p = get_formal_tmp_var (*rhs_p, &body);
}
/* Once lowered, extract the bounds and clauses. */
extract_omp_for_data (stmt, &fd, NULL);
lower_omp_for_lastprivate (&fd, &body, &dlist, ctx);
gimple_seq_add_stmt (&body, stmt);
gimple_seq_add_seq (&body, gimple_omp_body (stmt));
gimple_seq_add_stmt (&body, gimple_build_omp_continue (fd.loop.v,
fd.loop.v));
/* After the loop, add exit clauses. */
lower_reduction_clauses (gimple_omp_for_clauses (stmt), &body, ctx);
gimple_seq_add_seq (&body, dlist);
body = maybe_catch_exception (body);
/* Region exit marker goes at the end of the loop body. */
gimple_seq_add_stmt (&body, gimple_build_omp_return (fd.have_nowait));
pop_gimplify_context (new_stmt);
gimple_bind_append_vars (new_stmt, ctx->block_vars);
BLOCK_VARS (block) = gimple_bind_vars (new_stmt);
if (BLOCK_VARS (block))
TREE_USED (block) = 1;
gimple_bind_set_body (new_stmt, body);
gimple_omp_set_body (stmt, NULL);
gimple_omp_for_set_pre_body (stmt, NULL);
gsi_replace (gsi_p, new_stmt, true);
}
/* Callback for walk_stmts. Check if the current statement only contains
GIMPLE_OMP_FOR or GIMPLE_OMP_PARALLEL. */
static tree
check_combined_parallel (gimple_stmt_iterator *gsi_p,
bool *handled_ops_p,
struct walk_stmt_info *wi)
{
int *info = (int *) wi->info;
gimple stmt = gsi_stmt (*gsi_p);
*handled_ops_p = true;
switch (gimple_code (stmt))
{
WALK_SUBSTMTS;
case GIMPLE_OMP_FOR:
case GIMPLE_OMP_SECTIONS:
*info = *info == 0 ? 1 : -1;
break;
default:
*info = -1;
break;
}
return NULL;
}
struct omp_taskcopy_context
{
/* This field must be at the beginning, as we do "inheritance": Some
callback functions for tree-inline.c (e.g., omp_copy_decl)
receive a copy_body_data pointer that is up-casted to an
omp_context pointer. */
copy_body_data cb;
omp_context *ctx;
};
static tree
task_copyfn_copy_decl (tree var, copy_body_data *cb)
{
struct omp_taskcopy_context *tcctx = (struct omp_taskcopy_context *) cb;
if (splay_tree_lookup (tcctx->ctx->sfield_map, (splay_tree_key) var))
return create_tmp_var (TREE_TYPE (var), NULL);
return var;
}
static tree
task_copyfn_remap_type (struct omp_taskcopy_context *tcctx, tree orig_type)
{
tree name, new_fields = NULL, type, f;
type = lang_hooks.types.make_type (RECORD_TYPE);
name = DECL_NAME (TYPE_NAME (orig_type));
name = build_decl (gimple_location (tcctx->ctx->stmt),
TYPE_DECL, name, type);
TYPE_NAME (type) = name;
for (f = TYPE_FIELDS (orig_type); f ; f = TREE_CHAIN (f))
{
tree new_f = copy_node (f);
DECL_CONTEXT (new_f) = type;
TREE_TYPE (new_f) = remap_type (TREE_TYPE (f), &tcctx->cb);
TREE_CHAIN (new_f) = new_fields;
walk_tree (&DECL_SIZE (new_f), copy_tree_body_r, &tcctx->cb, NULL);
walk_tree (&DECL_SIZE_UNIT (new_f), copy_tree_body_r, &tcctx->cb, NULL);
walk_tree (&DECL_FIELD_OFFSET (new_f), copy_tree_body_r,
&tcctx->cb, NULL);
new_fields = new_f;
*pointer_map_insert (tcctx->cb.decl_map, f) = new_f;
}
TYPE_FIELDS (type) = nreverse (new_fields);
layout_type (type);
return type;
}
/* Create task copyfn. */
static void
create_task_copyfn (gimple task_stmt, omp_context *ctx)
{
struct function *child_cfun;
tree child_fn, t, c, src, dst, f, sf, arg, sarg, decl;
tree record_type, srecord_type, bind, list;
bool record_needs_remap = false, srecord_needs_remap = false;
splay_tree_node n;
struct omp_taskcopy_context tcctx;
struct gimplify_ctx gctx;
location_t loc = gimple_location (task_stmt);
child_fn = gimple_omp_task_copy_fn (task_stmt);
child_cfun = DECL_STRUCT_FUNCTION (child_fn);
gcc_assert (child_cfun->cfg == NULL);
DECL_SAVED_TREE (child_fn) = alloc_stmt_list ();
/* Reset DECL_CONTEXT on function arguments. */
for (t = DECL_ARGUMENTS (child_fn); t; t = DECL_CHAIN (t))
DECL_CONTEXT (t) = child_fn;
/* Populate the function. */
push_gimplify_context (&gctx);
current_function_decl = child_fn;
bind = build3 (BIND_EXPR, void_type_node, NULL, NULL, NULL);
TREE_SIDE_EFFECTS (bind) = 1;
list = NULL;
DECL_SAVED_TREE (child_fn) = bind;
DECL_SOURCE_LOCATION (child_fn) = gimple_location (task_stmt);
/* Remap src and dst argument types if needed. */
record_type = ctx->record_type;
srecord_type = ctx->srecord_type;
for (f = TYPE_FIELDS (record_type); f ; f = DECL_CHAIN (f))
if (variably_modified_type_p (TREE_TYPE (f), ctx->cb.src_fn))
{
record_needs_remap = true;
break;
}
for (f = TYPE_FIELDS (srecord_type); f ; f = DECL_CHAIN (f))
if (variably_modified_type_p (TREE_TYPE (f), ctx->cb.src_fn))
{
srecord_needs_remap = true;
break;
}
if (record_needs_remap || srecord_needs_remap)
{
memset (&tcctx, '\0', sizeof (tcctx));
tcctx.cb.src_fn = ctx->cb.src_fn;
tcctx.cb.dst_fn = child_fn;
tcctx.cb.src_node = cgraph_get_node (tcctx.cb.src_fn);
gcc_checking_assert (tcctx.cb.src_node);
tcctx.cb.dst_node = tcctx.cb.src_node;
tcctx.cb.src_cfun = ctx->cb.src_cfun;
tcctx.cb.copy_decl = task_copyfn_copy_decl;
tcctx.cb.eh_lp_nr = 0;
tcctx.cb.transform_call_graph_edges = CB_CGE_MOVE;
tcctx.cb.decl_map = pointer_map_create ();
tcctx.ctx = ctx;
if (record_needs_remap)
record_type = task_copyfn_remap_type (&tcctx, record_type);
if (srecord_needs_remap)
srecord_type = task_copyfn_remap_type (&tcctx, srecord_type);
}
else
tcctx.cb.decl_map = NULL;
push_cfun (child_cfun);
arg = DECL_ARGUMENTS (child_fn);
TREE_TYPE (arg) = build_pointer_type (record_type);
sarg = DECL_CHAIN (arg);
TREE_TYPE (sarg) = build_pointer_type (srecord_type);
/* First pass: initialize temporaries used in record_type and srecord_type
sizes and field offsets. */
if (tcctx.cb.decl_map)
for (c = gimple_omp_task_clauses (task_stmt); c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_FIRSTPRIVATE)
{
tree *p;
decl = OMP_CLAUSE_DECL (c);
p = (tree *) pointer_map_contains (tcctx.cb.decl_map, decl);
if (p == NULL)
continue;
n = splay_tree_lookup (ctx->sfield_map, (splay_tree_key) decl);
sf = (tree) n->value;
sf = *(tree *) pointer_map_contains (tcctx.cb.decl_map, sf);
src = build_simple_mem_ref_loc (loc, sarg);
src = omp_build_component_ref (src, sf);
t = build2 (MODIFY_EXPR, TREE_TYPE (*p), *p, src);
append_to_statement_list (t, &list);
}
/* Second pass: copy shared var pointers and copy construct non-VLA
firstprivate vars. */
for (c = gimple_omp_task_clauses (task_stmt); c; c = OMP_CLAUSE_CHAIN (c))
switch (OMP_CLAUSE_CODE (c))
{
case OMP_CLAUSE_SHARED:
decl = OMP_CLAUSE_DECL (c);
n = splay_tree_lookup (ctx->field_map, (splay_tree_key) decl);
if (n == NULL)
break;
f = (tree) n->value;
if (tcctx.cb.decl_map)
f = *(tree *) pointer_map_contains (tcctx.cb.decl_map, f);
n = splay_tree_lookup (ctx->sfield_map, (splay_tree_key) decl);
sf = (tree) n->value;
if (tcctx.cb.decl_map)
sf = *(tree *) pointer_map_contains (tcctx.cb.decl_map, sf);
src = build_simple_mem_ref_loc (loc, sarg);
src = omp_build_component_ref (src, sf);
dst = build_simple_mem_ref_loc (loc, arg);
dst = omp_build_component_ref (dst, f);
t = build2 (MODIFY_EXPR, TREE_TYPE (dst), dst, src);
append_to_statement_list (t, &list);
break;
case OMP_CLAUSE_FIRSTPRIVATE:
decl = OMP_CLAUSE_DECL (c);
if (is_variable_sized (decl))
break;
n = splay_tree_lookup (ctx->field_map, (splay_tree_key) decl);
if (n == NULL)
break;
f = (tree) n->value;
if (tcctx.cb.decl_map)
f = *(tree *) pointer_map_contains (tcctx.cb.decl_map, f);
n = splay_tree_lookup (ctx->sfield_map, (splay_tree_key) decl);
if (n != NULL)
{
sf = (tree) n->value;
if (tcctx.cb.decl_map)
sf = *(tree *) pointer_map_contains (tcctx.cb.decl_map, sf);
src = build_simple_mem_ref_loc (loc, sarg);
src = omp_build_component_ref (src, sf);
if (use_pointer_for_field (decl, NULL) || is_reference (decl))
src = build_simple_mem_ref_loc (loc, src);
}
else
src = decl;
dst = build_simple_mem_ref_loc (loc, arg);
dst = omp_build_component_ref (dst, f);
t = lang_hooks.decls.omp_clause_copy_ctor (c, dst, src);
append_to_statement_list (t, &list);
break;
case OMP_CLAUSE_PRIVATE:
if (! OMP_CLAUSE_PRIVATE_OUTER_REF (c))
break;
decl = OMP_CLAUSE_DECL (c);
n = splay_tree_lookup (ctx->field_map, (splay_tree_key) decl);
f = (tree) n->value;
if (tcctx.cb.decl_map)
f = *(tree *) pointer_map_contains (tcctx.cb.decl_map, f);
n = splay_tree_lookup (ctx->sfield_map, (splay_tree_key) decl);
if (n != NULL)
{
sf = (tree) n->value;
if (tcctx.cb.decl_map)
sf = *(tree *) pointer_map_contains (tcctx.cb.decl_map, sf);
src = build_simple_mem_ref_loc (loc, sarg);
src = omp_build_component_ref (src, sf);
if (use_pointer_for_field (decl, NULL))
src = build_simple_mem_ref_loc (loc, src);
}
else
src = decl;
dst = build_simple_mem_ref_loc (loc, arg);
dst = omp_build_component_ref (dst, f);
t = build2 (MODIFY_EXPR, TREE_TYPE (dst), dst, src);
append_to_statement_list (t, &list);
break;
default:
break;
}
/* Last pass: handle VLA firstprivates. */
if (tcctx.cb.decl_map)
for (c = gimple_omp_task_clauses (task_stmt); c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_FIRSTPRIVATE)
{
tree ind, ptr, df;
decl = OMP_CLAUSE_DECL (c);
if (!is_variable_sized (decl))
continue;
n = splay_tree_lookup (ctx->field_map, (splay_tree_key) decl);
if (n == NULL)
continue;
f = (tree) n->value;
f = *(tree *) pointer_map_contains (tcctx.cb.decl_map, f);
gcc_assert (DECL_HAS_VALUE_EXPR_P (decl));
ind = DECL_VALUE_EXPR (decl);
gcc_assert (TREE_CODE (ind) == INDIRECT_REF);
gcc_assert (DECL_P (TREE_OPERAND (ind, 0)));
n = splay_tree_lookup (ctx->sfield_map,
(splay_tree_key) TREE_OPERAND (ind, 0));
sf = (tree) n->value;
sf = *(tree *) pointer_map_contains (tcctx.cb.decl_map, sf);
src = build_simple_mem_ref_loc (loc, sarg);
src = omp_build_component_ref (src, sf);
src = build_simple_mem_ref_loc (loc, src);
dst = build_simple_mem_ref_loc (loc, arg);
dst = omp_build_component_ref (dst, f);
t = lang_hooks.decls.omp_clause_copy_ctor (c, dst, src);
append_to_statement_list (t, &list);
n = splay_tree_lookup (ctx->field_map,
(splay_tree_key) TREE_OPERAND (ind, 0));
df = (tree) n->value;
df = *(tree *) pointer_map_contains (tcctx.cb.decl_map, df);
ptr = build_simple_mem_ref_loc (loc, arg);
ptr = omp_build_component_ref (ptr, df);
t = build2 (MODIFY_EXPR, TREE_TYPE (ptr), ptr,
build_fold_addr_expr_loc (loc, dst));
append_to_statement_list (t, &list);
}
t = build1 (RETURN_EXPR, void_type_node, NULL);
append_to_statement_list (t, &list);
if (tcctx.cb.decl_map)
pointer_map_destroy (tcctx.cb.decl_map);
pop_gimplify_context (NULL);
BIND_EXPR_BODY (bind) = list;
pop_cfun ();
current_function_decl = ctx->cb.src_fn;
}
/* Lower the OpenMP parallel or task directive in the current statement
in GSI_P. CTX holds context information for the directive. */
static void
lower_omp_taskreg (gimple_stmt_iterator *gsi_p, omp_context *ctx)
{
tree clauses;
tree child_fn, t;
gimple stmt = gsi_stmt (*gsi_p);
gimple par_bind, bind;
gimple_seq par_body, olist, ilist, par_olist, par_ilist, new_body;
struct gimplify_ctx gctx;
location_t loc = gimple_location (stmt);
clauses = gimple_omp_taskreg_clauses (stmt);
par_bind = gimple_seq_first_stmt (gimple_omp_body (stmt));
par_body = gimple_bind_body (par_bind);
child_fn = ctx->cb.dst_fn;
if (gimple_code (stmt) == GIMPLE_OMP_PARALLEL
&& !gimple_omp_parallel_combined_p (stmt))
{
struct walk_stmt_info wi;
int ws_num = 0;
memset (&wi, 0, sizeof (wi));
wi.info = &ws_num;
wi.val_only = true;
walk_gimple_seq (par_body, check_combined_parallel, NULL, &wi);
if (ws_num == 1)
gimple_omp_parallel_set_combined_p (stmt, true);
}
if (ctx->srecord_type)
create_task_copyfn (stmt, ctx);
push_gimplify_context (&gctx);
par_olist = NULL;
par_ilist = NULL;
lower_rec_input_clauses (clauses, &par_ilist, &par_olist, ctx);
lower_omp (par_body, ctx);
if (gimple_code (stmt) == GIMPLE_OMP_PARALLEL)
lower_reduction_clauses (clauses, &par_olist, ctx);
/* Declare all the variables created by mapping and the variables
declared in the scope of the parallel body. */
record_vars_into (ctx->block_vars, child_fn);
record_vars_into (gimple_bind_vars (par_bind), child_fn);
if (ctx->record_type)
{
ctx->sender_decl
= create_tmp_var (ctx->srecord_type ? ctx->srecord_type
: ctx->record_type, ".omp_data_o");
DECL_NAMELESS (ctx->sender_decl) = 1;
TREE_ADDRESSABLE (ctx->sender_decl) = 1;
gimple_omp_taskreg_set_data_arg (stmt, ctx->sender_decl);
}
olist = NULL;
ilist = NULL;
lower_send_clauses (clauses, &ilist, &olist, ctx);
lower_send_shared_vars (&ilist, &olist, ctx);
/* Once all the expansions are done, sequence all the different
fragments inside gimple_omp_body. */
new_body = NULL;
if (ctx->record_type)
{
t = build_fold_addr_expr_loc (loc, ctx->sender_decl);
/* fixup_child_record_type might have changed receiver_decl's type. */
t = fold_convert_loc (loc, TREE_TYPE (ctx->receiver_decl), t);
gimple_seq_add_stmt (&new_body,
gimple_build_assign (ctx->receiver_decl, t));
}
gimple_seq_add_seq (&new_body, par_ilist);
gimple_seq_add_seq (&new_body, par_body);
gimple_seq_add_seq (&new_body, par_olist);
new_body = maybe_catch_exception (new_body);
gimple_seq_add_stmt (&new_body, gimple_build_omp_return (false));
gimple_omp_set_body (stmt, new_body);
bind = gimple_build_bind (NULL, NULL, gimple_bind_block (par_bind));
gimple_bind_add_stmt (bind, stmt);
if (ilist || olist)
{
gimple_seq_add_stmt (&ilist, bind);
gimple_seq_add_seq (&ilist, olist);
bind = gimple_build_bind (NULL, ilist, NULL);
}
gsi_replace (gsi_p, bind, true);
pop_gimplify_context (NULL);
}
/* Callback for lower_omp_1. Return non-NULL if *tp needs to be
regimplified. If DATA is non-NULL, lower_omp_1 is outside
of OpenMP context, but with task_shared_vars set. */
static tree
lower_omp_regimplify_p (tree *tp, int *walk_subtrees,
void *data)
{
tree t = *tp;
/* Any variable with DECL_VALUE_EXPR needs to be regimplified. */
if (TREE_CODE (t) == VAR_DECL && data == NULL && DECL_HAS_VALUE_EXPR_P (t))
return t;
if (task_shared_vars
&& DECL_P (t)
&& bitmap_bit_p (task_shared_vars, DECL_UID (t)))
return t;
/* If a global variable has been privatized, TREE_CONSTANT on
ADDR_EXPR might be wrong. */
if (data == NULL && TREE_CODE (t) == ADDR_EXPR)
recompute_tree_invariant_for_addr_expr (t);
*walk_subtrees = !TYPE_P (t) && !DECL_P (t);
return NULL_TREE;
}
static void
lower_omp_1 (gimple_stmt_iterator *gsi_p, omp_context *ctx)
{
gimple stmt = gsi_stmt (*gsi_p);
struct walk_stmt_info wi;
if (gimple_has_location (stmt))
input_location = gimple_location (stmt);
if (task_shared_vars)
memset (&wi, '\0', sizeof (wi));
/* If we have issued syntax errors, avoid doing any heavy lifting.
Just replace the OpenMP directives with a NOP to avoid
confusing RTL expansion. */
if (seen_error () && is_gimple_omp (stmt))
{
gsi_replace (gsi_p, gimple_build_nop (), true);
return;
}
switch (gimple_code (stmt))
{
case GIMPLE_COND:
if ((ctx || task_shared_vars)
&& (walk_tree (gimple_cond_lhs_ptr (stmt), lower_omp_regimplify_p,
ctx ? NULL : &wi, NULL)
|| walk_tree (gimple_cond_rhs_ptr (stmt), lower_omp_regimplify_p,
ctx ? NULL : &wi, NULL)))
gimple_regimplify_operands (stmt, gsi_p);
break;
case GIMPLE_CATCH:
lower_omp (gimple_catch_handler (stmt), ctx);
break;
case GIMPLE_EH_FILTER:
lower_omp (gimple_eh_filter_failure (stmt), ctx);
break;
case GIMPLE_TRY:
lower_omp (gimple_try_eval (stmt), ctx);
lower_omp (gimple_try_cleanup (stmt), ctx);
break;
case GIMPLE_TRANSACTION:
lower_omp (gimple_transaction_body (stmt), ctx);
break;
case GIMPLE_BIND:
lower_omp (gimple_bind_body (stmt), ctx);
break;
case GIMPLE_OMP_PARALLEL:
case GIMPLE_OMP_TASK:
ctx = maybe_lookup_ctx (stmt);
lower_omp_taskreg (gsi_p, ctx);
break;
case GIMPLE_OMP_FOR:
ctx = maybe_lookup_ctx (stmt);
gcc_assert (ctx);
lower_omp_for (gsi_p, ctx);
break;
case GIMPLE_OMP_SECTIONS:
ctx = maybe_lookup_ctx (stmt);
gcc_assert (ctx);
lower_omp_sections (gsi_p, ctx);
break;
case GIMPLE_OMP_SINGLE:
ctx = maybe_lookup_ctx (stmt);
gcc_assert (ctx);
lower_omp_single (gsi_p, ctx);
break;
case GIMPLE_OMP_MASTER:
ctx = maybe_lookup_ctx (stmt);
gcc_assert (ctx);
lower_omp_master (gsi_p, ctx);
break;
case GIMPLE_OMP_ORDERED:
ctx = maybe_lookup_ctx (stmt);
gcc_assert (ctx);
lower_omp_ordered (gsi_p, ctx);
break;
case GIMPLE_OMP_CRITICAL:
ctx = maybe_lookup_ctx (stmt);
gcc_assert (ctx);
lower_omp_critical (gsi_p, ctx);
break;
case GIMPLE_OMP_ATOMIC_LOAD:
if ((ctx || task_shared_vars)
&& walk_tree (gimple_omp_atomic_load_rhs_ptr (stmt),
lower_omp_regimplify_p, ctx ? NULL : &wi, NULL))
gimple_regimplify_operands (stmt, gsi_p);
break;
default:
if ((ctx || task_shared_vars)
&& walk_gimple_op (stmt, lower_omp_regimplify_p,
ctx ? NULL : &wi))
gimple_regimplify_operands (stmt, gsi_p);
break;
}
}
static void
lower_omp (gimple_seq body, omp_context *ctx)
{
location_t saved_location = input_location;
gimple_stmt_iterator gsi = gsi_start (body);
for (gsi = gsi_start (body); !gsi_end_p (gsi); gsi_next (&gsi))
lower_omp_1 (&gsi, ctx);
input_location = saved_location;
}
/* Main entry point. */
static unsigned int
execute_lower_omp (void)
{
gimple_seq body;
/* This pass always runs, to provide PROP_gimple_lomp.
But there is nothing to do unless -fopenmp is given. */
if (flag_openmp == 0)
return 0;
all_contexts = splay_tree_new (splay_tree_compare_pointers, 0,
delete_omp_context);
body = gimple_body (current_function_decl);
scan_omp (body, NULL);
gcc_assert (taskreg_nesting_level == 0);
if (all_contexts->root)
{
struct gimplify_ctx gctx;
if (task_shared_vars)
push_gimplify_context (&gctx);
lower_omp (body, NULL);
if (task_shared_vars)
pop_gimplify_context (NULL);
}
if (all_contexts)
{
splay_tree_delete (all_contexts);
all_contexts = NULL;
}
BITMAP_FREE (task_shared_vars);
return 0;
}
struct gimple_opt_pass pass_lower_omp =
{
{
GIMPLE_PASS,
"omplower", /* name */
NULL, /* gate */
execute_lower_omp, /* execute */
NULL, /* sub */
NULL, /* next */
0, /* static_pass_number */
TV_NONE, /* tv_id */
PROP_gimple_any, /* properties_required */
PROP_gimple_lomp, /* properties_provided */
0, /* properties_destroyed */
0, /* todo_flags_start */
0 /* todo_flags_finish */
}
};
/* The following is a utility to diagnose OpenMP structured block violations.
It is not part of the "omplower" pass, as that's invoked too late. It
should be invoked by the respective front ends after gimplification. */
static splay_tree all_labels;
/* Check for mismatched contexts and generate an error if needed. Return
true if an error is detected. */
static bool
diagnose_sb_0 (gimple_stmt_iterator *gsi_p,
gimple branch_ctx, gimple label_ctx)
{
if (label_ctx == branch_ctx)
return false;
/*
Previously we kept track of the label's entire context in diagnose_sb_[12]
so we could traverse it and issue a correct "exit" or "enter" error
message upon a structured block violation.
We built the context by building a list with tree_cons'ing, but there is
no easy counterpart in gimple tuples. It seems like far too much work
for issuing exit/enter error messages. If someone really misses the
distinct error message... patches welcome.
*/
#if 0
/* Try to avoid confusing the user by producing and error message
with correct "exit" or "enter" verbiage. We prefer "exit"
unless we can show that LABEL_CTX is nested within BRANCH_CTX. */
if (branch_ctx == NULL)
exit_p = false;
else
{
while (label_ctx)
{
if (TREE_VALUE (label_ctx) == branch_ctx)
{
exit_p = false;
break;
}
label_ctx = TREE_CHAIN (label_ctx);
}
}
if (exit_p)
error ("invalid exit from OpenMP structured block");
else
error ("invalid entry to OpenMP structured block");
#endif
/* If it's obvious we have an invalid entry, be specific about the error. */
if (branch_ctx == NULL)
error ("invalid entry to OpenMP structured block");
else
/* Otherwise, be vague and lazy, but efficient. */
error ("invalid branch to/from an OpenMP structured block");
gsi_replace (gsi_p, gimple_build_nop (), false);
return true;
}
/* Pass 1: Create a minimal tree of OpenMP structured blocks, and record
where each label is found. */
static tree
diagnose_sb_1 (gimple_stmt_iterator *gsi_p, bool *handled_ops_p,
struct walk_stmt_info *wi)
{
gimple context = (gimple) wi->info;
gimple inner_context;
gimple stmt = gsi_stmt (*gsi_p);
*handled_ops_p = true;
switch (gimple_code (stmt))
{
WALK_SUBSTMTS;
case GIMPLE_OMP_PARALLEL:
case GIMPLE_OMP_TASK:
case GIMPLE_OMP_SECTIONS:
case GIMPLE_OMP_SINGLE:
case GIMPLE_OMP_SECTION:
case GIMPLE_OMP_MASTER:
case GIMPLE_OMP_ORDERED:
case GIMPLE_OMP_CRITICAL:
/* The minimal context here is just the current OMP construct. */
inner_context = stmt;
wi->info = inner_context;
walk_gimple_seq (gimple_omp_body (stmt), diagnose_sb_1, NULL, wi);
wi->info = context;
break;
case GIMPLE_OMP_FOR:
inner_context = stmt;
wi->info = inner_context;
/* gimple_omp_for_{index,initial,final} are all DECLs; no need to
walk them. */
walk_gimple_seq (gimple_omp_for_pre_body (stmt),
diagnose_sb_1, NULL, wi);
walk_gimple_seq (gimple_omp_body (stmt), diagnose_sb_1, NULL, wi);
wi->info = context;
break;
case GIMPLE_LABEL:
splay_tree_insert (all_labels, (splay_tree_key) gimple_label_label (stmt),
(splay_tree_value) context);
break;
default:
break;
}
return NULL_TREE;
}
/* Pass 2: Check each branch and see if its context differs from that of
the destination label's context. */
static tree
diagnose_sb_2 (gimple_stmt_iterator *gsi_p, bool *handled_ops_p,
struct walk_stmt_info *wi)
{
gimple context = (gimple) wi->info;
splay_tree_node n;
gimple stmt = gsi_stmt (*gsi_p);
*handled_ops_p = true;
switch (gimple_code (stmt))
{
WALK_SUBSTMTS;
case GIMPLE_OMP_PARALLEL:
case GIMPLE_OMP_TASK:
case GIMPLE_OMP_SECTIONS:
case GIMPLE_OMP_SINGLE:
case GIMPLE_OMP_SECTION:
case GIMPLE_OMP_MASTER:
case GIMPLE_OMP_ORDERED:
case GIMPLE_OMP_CRITICAL:
wi->info = stmt;
walk_gimple_seq (gimple_omp_body (stmt), diagnose_sb_2, NULL, wi);
wi->info = context;
break;
case GIMPLE_OMP_FOR:
wi->info = stmt;
/* gimple_omp_for_{index,initial,final} are all DECLs; no need to
walk them. */
walk_gimple_seq (gimple_omp_for_pre_body (stmt),
diagnose_sb_2, NULL, wi);
walk_gimple_seq (gimple_omp_body (stmt), diagnose_sb_2, NULL, wi);
wi->info = context;
break;
case GIMPLE_COND:
{
tree lab = gimple_cond_true_label (stmt);
if (lab)
{
n = splay_tree_lookup (all_labels,
(splay_tree_key) lab);
diagnose_sb_0 (gsi_p, context,
n ? (gimple) n->value : NULL);
}
lab = gimple_cond_false_label (stmt);
if (lab)
{
n = splay_tree_lookup (all_labels,
(splay_tree_key) lab);
diagnose_sb_0 (gsi_p, context,
n ? (gimple) n->value : NULL);
}
}
break;
case GIMPLE_GOTO:
{
tree lab = gimple_goto_dest (stmt);
if (TREE_CODE (lab) != LABEL_DECL)
break;
n = splay_tree_lookup (all_labels, (splay_tree_key) lab);
diagnose_sb_0 (gsi_p, context, n ? (gimple) n->value : NULL);
}
break;
case GIMPLE_SWITCH:
{
unsigned int i;
for (i = 0; i < gimple_switch_num_labels (stmt); ++i)
{
tree lab = CASE_LABEL (gimple_switch_label (stmt, i));
n = splay_tree_lookup (all_labels, (splay_tree_key) lab);
if (n && diagnose_sb_0 (gsi_p, context, (gimple) n->value))
break;
}
}
break;
case GIMPLE_RETURN:
diagnose_sb_0 (gsi_p, context, NULL);
break;
default:
break;
}
return NULL_TREE;
}
static unsigned int
diagnose_omp_structured_block_errors (void)
{
struct walk_stmt_info wi;
gimple_seq body = gimple_body (current_function_decl);
all_labels = splay_tree_new (splay_tree_compare_pointers, 0, 0);
memset (&wi, 0, sizeof (wi));
walk_gimple_seq (body, diagnose_sb_1, NULL, &wi);
memset (&wi, 0, sizeof (wi));
wi.want_locations = true;
walk_gimple_seq (body, diagnose_sb_2, NULL, &wi);
splay_tree_delete (all_labels);
all_labels = NULL;
return 0;
}
static bool
gate_diagnose_omp_blocks (void)
{
return flag_openmp != 0;
}
struct gimple_opt_pass pass_diagnose_omp_blocks =
{
{
GIMPLE_PASS,
"*diagnose_omp_blocks", /* name */
gate_diagnose_omp_blocks, /* gate */
diagnose_omp_structured_block_errors, /* execute */
NULL, /* sub */
NULL, /* next */
0, /* static_pass_number */
TV_NONE, /* tv_id */
PROP_gimple_any, /* properties_required */
0, /* properties_provided */
0, /* properties_destroyed */
0, /* todo_flags_start */
0, /* todo_flags_finish */
}
};
#include "gt-omp-low.h"
|
DRB040-truedepsingleelement-var-yes.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
Data race pair: a[i]@63:5 vs. a[0]@63:15
*/
#include <stdlib.h>
int main (int argc, char* argv[])
{
int len=1000;
int i;
if (argc>1)
len = atoi(argv[1]);
int a[len];
a[0] = 2;
#pragma omp parallel for
for (i=0;i<len;i++)
a[i] = i;
for (i=0;i<len;i++)
a[i]=a[i]+a[0];
for (i=0;i<len;i++)
printf("%d\n",a[i]);
return 0;
}
|
integrate.c | /*
* integrate.c: Example of numerical integration in OpenMP.
*
* (C) 2015 Mikhail Kurnosov <mkurnosov@gmail.com>
*/
#include <stdio.h>
#include <math.h>
#include <sys/time.h>
#include <omp.h>
const double PI = 3.14159265358979323846;
const double a = -4.0;
const double b = 4.0;
const int nsteps = 40000000;
double wtime()
{
struct timeval t;
gettimeofday(&t, NULL);
return (double)t.tv_sec + (double)t.tv_usec * 1E-6;
}
double func(double x)
{
return exp(-x * x);
}
/* integrate: Integrates by rectangle method (midpoint rule) */
double integrate(double (*func)(double), double a, double b, int n)
{
double h = (b - a) / n;
double sum = 0.0;
for (int i = 0; i < n; i++)
sum += func(a + h * (i + 0.5));
sum *= h;
return sum;
}
double run_serial()
{
double t = wtime();
double res = integrate(func, a, b, nsteps);
t = wtime() - t;
printf("Result (serial): %.12f; error %.12f\n", res, fabs(res - sqrt(PI)));
return t;
}
double integrate_omp(double (*func)(double), double a, double b, int n)
{
double h = (b - a) / n;
double sum = 0.0;
#pragma omp parallel
{
int nthreads = omp_get_num_threads();
int threadid = omp_get_thread_num();
int items_per_thread = n / nthreads;
int lb = threadid * items_per_thread;
int ub = (threadid == nthreads - 1) ? (n - 1) : (lb + items_per_thread - 1);
for (int i = lb; i <= ub; i++) {
double f = func(a + h * (i + 0.5));
#pragma omp atomic
sum += f; // No atomics for FP-values, loop in asm: LD, ADD, Compare-And-Swap
}
}
sum *= h;
return sum;
}
double run_parallel()
{
double t = wtime();
double res = integrate_omp(func, a, b, nsteps);
t = wtime() - t;
printf("Result (parallel): %.12f; error %.12f\n", res, fabs(res - sqrt(PI)));
return t;
}
int main(int argc, char **argv)
{
printf("Integration f(x) on [%.12f, %.12f], nsteps = %d\n", a, b, nsteps);
double tserial = run_serial();
double tparallel = run_parallel();
printf("Execution time (serial): %.6f\n", tserial);
printf("Execution time (parallel): %.6f\n", tparallel);
printf("Speedup: %.2f\n", tserial / tparallel);
return 0;
}
|
diagsm_x_coo_u_col.c | #include "alphasparse/kernel.h"
#include "alphasparse/util.h"
#include "alphasparse/opt.h"
#include <memory.h>
alphasparse_status_t ONAME(const ALPHA_Number alpha, const ALPHA_SPMAT_COO *A, const ALPHA_Number *x, const ALPHA_INT columns, const ALPHA_INT ldx, ALPHA_Number *y, const ALPHA_INT ldy)
{
ALPHA_INT num_thread = alpha_get_thread_num();
#ifdef _OPENMP
#pragma omp parallel for num_threads(num_thread)
#endif
for (ALPHA_INT c = 0; c < columns; ++c)
{
for (ALPHA_INT r = 0; r < A->rows; ++r)
{
alpha_mul(y[index2(c, r, ldy)], alpha, x[index2(c, r, ldx)]);
}
}
return ALPHA_SPARSE_STATUS_SUCCESS;
}
|
collapse-2.c | /* { dg-do run } */
#include <stdlib.h>
#include <omp.h>
int
main (void)
{
int i, j, k, l = 0, f = 0;
int m1 = 4, m2 = -5, m3 = 17;
#pragma omp parallel for num_threads (8) collapse(3) \
schedule(static, 9) reduction(+:l) \
firstprivate(f)
for (i = -2; i < m1; i++)
for (j = m2; j < -2; j++)
{
for (k = 13; k < m3; k++)
{
if (omp_get_num_threads () == 8
&& ((i + 2) * 12 + (j + 5) * 4 + (k - 13)
!= (omp_get_thread_num () * 9
+ f++)))
l++;
}
}
if (l)
abort ();
return 0;
}
|
profile.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% PPPP RRRR OOO FFFFF IIIII L EEEEE %
% P P R R O O F I L E %
% PPPP RRRR O O FFF I L EEE %
% P R R O O F I L E %
% P R R OOO F IIIII LLLLL EEEEE %
% %
% %
% MagickCore Image Profile Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2019 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/attribute.h"
#include "magick/cache.h"
#include "magick/color.h"
#include "magick/colorspace-private.h"
#include "magick/configure.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/hashmap.h"
#include "magick/image.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/option-private.h"
#include "magick/profile.h"
#include "magick/property.h"
#include "magick/quantum.h"
#include "magick/quantum-private.h"
#include "magick/resource_.h"
#include "magick/splay-tree.h"
#include "magick/string_.h"
#include "magick/thread-private.h"
#include "magick/token.h"
#include "magick/utility.h"
#if defined(MAGICKCORE_LCMS_DELEGATE)
#if defined(MAGICKCORE_HAVE_LCMS_LCMS2_H)
#include <wchar.h>
#include <lcms/lcms2.h>
#else
#include <wchar.h>
#include "lcms2.h"
#endif
#endif
#if defined(MAGICKCORE_XML_DELEGATE)
# if defined(MAGICKCORE_WINDOWS_SUPPORT)
# if !defined(__MINGW32__)
# include <win32config.h>
# endif
# endif
# include <libxml/parser.h>
# include <libxml/tree.h>
#endif
/*
Definitions
*/
#define LCMSHDRI
#if !defined(MAGICKCORE_HDRI_SUPPORT)
#if (MAGICKCORE_QUANTUM_DEPTH == 8)
#undef LCMSHDRI
#define LCMSScaleSource(pixel) ScaleQuantumToShort(pixel)
#define LCMSScaleTarget(pixel) ScaleShortToQuantum(pixel)
typedef unsigned short
LCMSType;
#elif (MAGICKCORE_QUANTUM_DEPTH == 16)
#undef LCMSHDRI
#define LCMSScaleSource(pixel) (pixel)
#define LCMSScaleTarget(pixel) (pixel)
typedef unsigned short
LCMSType;
#endif
#endif
#if defined(LCMSHDRI)
#define LCMSScaleSource(pixel) (source_scale*QuantumScale*(pixel))
#define LCMSScaleTarget(pixel) ClampToQuantum(target_scale*QuantumRange*(pixel))
typedef double
LCMSType;
#endif
/*
Forward declarations
*/
static MagickBooleanType
SetImageProfileInternal(Image *,const char *,const StringInfo *,
const MagickBooleanType);
static void
WriteTo8BimProfile(Image *,const char*,const StringInfo *);
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e I m a g e P r o f i l e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneImageProfiles() clones one or more image profiles.
%
% The format of the CloneImageProfiles method is:
%
% MagickBooleanType CloneImageProfiles(Image *image,
% const Image *clone_image)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o clone_image: the clone image.
%
*/
MagickExport MagickBooleanType CloneImageProfiles(Image *image,
const Image *clone_image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(clone_image != (const Image *) NULL);
assert(clone_image->signature == MagickCoreSignature);
image->color_profile.length=clone_image->color_profile.length;
image->color_profile.info=clone_image->color_profile.info;
image->iptc_profile.length=clone_image->iptc_profile.length;
image->iptc_profile.info=clone_image->iptc_profile.info;
if (clone_image->profiles != (void *) NULL)
{
if (image->profiles != (void *) NULL)
DestroyImageProfiles(image);
image->profiles=CloneSplayTree((SplayTreeInfo *) clone_image->profiles,
(void *(*)(void *)) ConstantString,(void *(*)(void *)) CloneStringInfo);
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e l e t e I m a g e P r o f i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DeleteImageProfile() deletes a profile from the image by its name.
%
% The format of the DeleteImageProfile method is:
%
% MagickBooleanTyupe DeleteImageProfile(Image *image,const char *name)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o name: the profile name.
%
*/
MagickExport MagickBooleanType DeleteImageProfile(Image *image,const char *name)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->profiles == (SplayTreeInfo *) NULL)
return(MagickFalse);
if (LocaleCompare(name,"icc") == 0)
{
/*
Continue to support deprecated color profile for now.
*/
image->color_profile.length=0;
image->color_profile.info=(unsigned char *) NULL;
}
if (LocaleCompare(name,"iptc") == 0)
{
/*
Continue to support deprecated IPTC profile for now.
*/
image->iptc_profile.length=0;
image->iptc_profile.info=(unsigned char *) NULL;
}
WriteTo8BimProfile(image,name,(StringInfo *) NULL);
return(DeleteNodeFromSplayTree((SplayTreeInfo *) image->profiles,name));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y I m a g e P r o f i l e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImageProfiles() releases memory associated with an image profile map.
%
% The format of the DestroyProfiles method is:
%
% void DestroyImageProfiles(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void DestroyImageProfiles(Image *image)
{
if (image->profiles != (SplayTreeInfo *) NULL)
image->profiles=DestroySplayTree((SplayTreeInfo *) image->profiles);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e P r o f i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageProfile() gets a profile associated with an image by name.
%
% The format of the GetImageProfile method is:
%
% const StringInfo *GetImageProfile(const Image *image,const char *name)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o name: the profile name.
%
*/
MagickExport const StringInfo *GetImageProfile(const Image *image,
const char *name)
{
const StringInfo
*profile;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->profiles == (SplayTreeInfo *) NULL)
return((StringInfo *) NULL);
profile=(const StringInfo *) GetValueFromSplayTree((SplayTreeInfo *)
image->profiles,name);
return(profile);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t N e x t I m a g e P r o f i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetNextImageProfile() gets the next profile name for an image.
%
% The format of the GetNextImageProfile method is:
%
% char *GetNextImageProfile(const Image *image)
%
% A description of each parameter follows:
%
% o hash_info: the hash info.
%
*/
MagickExport char *GetNextImageProfile(const Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->profiles == (SplayTreeInfo *) NULL)
return((char *) NULL);
return((char *) GetNextKeyInSplayTree((SplayTreeInfo *) image->profiles));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P r o f i l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ProfileImage() associates, applies, or removes an ICM, IPTC, or generic
% profile with / to / from an image. If the profile is NULL, it is removed
% from the image otherwise added or applied. Use a name of '*' and a profile
% of NULL to remove all profiles from the image.
%
% ICC and ICM profiles are handled as follows: If the image does not have
% an associated color profile, the one you provide is associated with the
% image and the image pixels are not transformed. Otherwise, the colorspace
% transform defined by the existing and new profile are applied to the image
% pixels and the new profile is associated with the image.
%
% The format of the ProfileImage method is:
%
% MagickBooleanType ProfileImage(Image *image,const char *name,
% const void *datum,const size_t length,const MagickBooleanType clone)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o name: Name of profile to add or remove: ICC, IPTC, or generic profile.
%
% o datum: the profile data.
%
% o length: the length of the profile.
%
% o clone: should be MagickFalse.
%
*/
#if defined(MAGICKCORE_LCMS_DELEGATE)
static LCMSType **DestroyPixelThreadSet(LCMSType **pixels)
{
register ssize_t
i;
if (pixels == (LCMSType **) NULL)
return((LCMSType **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (pixels[i] != (LCMSType *) NULL)
pixels[i]=(LCMSType *) RelinquishMagickMemory(pixels[i]);
pixels=(LCMSType **) RelinquishMagickMemory(pixels);
return(pixels);
}
static LCMSType **AcquirePixelThreadSet(const size_t columns,
const size_t channels)
{
LCMSType
**pixels;
register ssize_t
i;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
pixels=(LCMSType **) AcquireQuantumMemory(number_threads,sizeof(*pixels));
if (pixels == (LCMSType **) NULL)
return((LCMSType **) NULL);
(void) memset(pixels,0,number_threads*sizeof(*pixels));
for (i=0; i < (ssize_t) number_threads; i++)
{
pixels[i]=(LCMSType *) AcquireQuantumMemory(columns,channels*
sizeof(**pixels));
if (pixels[i] == (LCMSType *) NULL)
return(DestroyPixelThreadSet(pixels));
}
return(pixels);
}
static cmsHTRANSFORM *DestroyTransformThreadSet(cmsHTRANSFORM *transform)
{
register ssize_t
i;
assert(transform != (cmsHTRANSFORM *) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (transform[i] != (cmsHTRANSFORM) NULL)
cmsDeleteTransform(transform[i]);
transform=(cmsHTRANSFORM *) RelinquishMagickMemory(transform);
return(transform);
}
static cmsHTRANSFORM *AcquireTransformThreadSet(Image *image,
const cmsHPROFILE source_profile,const cmsUInt32Number source_type,
const cmsHPROFILE target_profile,const cmsUInt32Number target_type,
const int intent,const cmsUInt32Number flags)
{
cmsHTRANSFORM
*transform;
register ssize_t
i;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
transform=(cmsHTRANSFORM *) AcquireQuantumMemory(number_threads,
sizeof(*transform));
if (transform == (cmsHTRANSFORM *) NULL)
return((cmsHTRANSFORM *) NULL);
(void) memset(transform,0,number_threads*sizeof(*transform));
for (i=0; i < (ssize_t) number_threads; i++)
{
transform[i]=cmsCreateTransformTHR((cmsContext) image,source_profile,
source_type,target_profile,target_type,intent,flags);
if (transform[i] == (cmsHTRANSFORM) NULL)
return(DestroyTransformThreadSet(transform));
}
return(transform);
}
#endif
#if defined(MAGICKCORE_LCMS_DELEGATE)
static void LCMSExceptionHandler(cmsContext context,cmsUInt32Number severity,
const char *message)
{
Image
*image;
(void) LogMagickEvent(TransformEvent,GetMagickModule(),"lcms: #%u, %s",
severity,message != (char *) NULL ? message : "no message");
image=(Image *) context;
if (image != (Image *) NULL)
(void) ThrowMagickException(&image->exception,GetMagickModule(),
ImageWarning,"UnableToTransformColorspace","`%s'",image->filename);
}
#endif
static MagickBooleanType SetsRGBImageProfile(Image *image)
{
static unsigned char
sRGBProfile[] =
{
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0x04, 0x7e, 0x04, 0x8c, 0x04, 0x9a, 0x04, 0xa8, 0x04, 0xb6, 0x04, 0xc4,
0x04, 0xd3, 0x04, 0xe1, 0x04, 0xf0, 0x04, 0xfe, 0x05, 0x0d, 0x05, 0x1c,
0x05, 0x2b, 0x05, 0x3a, 0x05, 0x49, 0x05, 0x58, 0x05, 0x67, 0x05, 0x77,
0x05, 0x86, 0x05, 0x96, 0x05, 0xa6, 0x05, 0xb5, 0x05, 0xc5, 0x05, 0xd5,
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0x06, 0xaf, 0x06, 0xc0, 0x06, 0xd1, 0x06, 0xe3, 0x06, 0xf5, 0x07, 0x07,
0x07, 0x19, 0x07, 0x2b, 0x07, 0x3d, 0x07, 0x4f, 0x07, 0x61, 0x07, 0x74,
0x07, 0x86, 0x07, 0x99, 0x07, 0xac, 0x07, 0xbf, 0x07, 0xd2, 0x07, 0xe5,
0x07, 0xf8, 0x08, 0x0b, 0x08, 0x1f, 0x08, 0x32, 0x08, 0x46, 0x08, 0x5a,
0x08, 0x6e, 0x08, 0x82, 0x08, 0x96, 0x08, 0xaa, 0x08, 0xbe, 0x08, 0xd2,
0x08, 0xe7, 0x08, 0xfb, 0x09, 0x10, 0x09, 0x25, 0x09, 0x3a, 0x09, 0x4f,
0x09, 0x64, 0x09, 0x79, 0x09, 0x8f, 0x09, 0xa4, 0x09, 0xba, 0x09, 0xcf,
0x09, 0xe5, 0x09, 0xfb, 0x0a, 0x11, 0x0a, 0x27, 0x0a, 0x3d, 0x0a, 0x54,
0x0a, 0x6a, 0x0a, 0x81, 0x0a, 0x98, 0x0a, 0xae, 0x0a, 0xc5, 0x0a, 0xdc,
0x0a, 0xf3, 0x0b, 0x0b, 0x0b, 0x22, 0x0b, 0x39, 0x0b, 0x51, 0x0b, 0x69,
0x0b, 0x80, 0x0b, 0x98, 0x0b, 0xb0, 0x0b, 0xc8, 0x0b, 0xe1, 0x0b, 0xf9,
0x0c, 0x12, 0x0c, 0x2a, 0x0c, 0x43, 0x0c, 0x5c, 0x0c, 0x75, 0x0c, 0x8e,
0x0c, 0xa7, 0x0c, 0xc0, 0x0c, 0xd9, 0x0c, 0xf3, 0x0d, 0x0d, 0x0d, 0x26,
0x0d, 0x40, 0x0d, 0x5a, 0x0d, 0x74, 0x0d, 0x8e, 0x0d, 0xa9, 0x0d, 0xc3,
0x0d, 0xde, 0x0d, 0xf8, 0x0e, 0x13, 0x0e, 0x2e, 0x0e, 0x49, 0x0e, 0x64,
0x0e, 0x7f, 0x0e, 0x9b, 0x0e, 0xb6, 0x0e, 0xd2, 0x0e, 0xee, 0x0f, 0x09,
0x0f, 0x25, 0x0f, 0x41, 0x0f, 0x5e, 0x0f, 0x7a, 0x0f, 0x96, 0x0f, 0xb3,
0x0f, 0xcf, 0x0f, 0xec, 0x10, 0x09, 0x10, 0x26, 0x10, 0x43, 0x10, 0x61,
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0x11, 0x31, 0x11, 0x4f, 0x11, 0x6d, 0x11, 0x8c, 0x11, 0xaa, 0x11, 0xc9,
0x11, 0xe8, 0x12, 0x07, 0x12, 0x26, 0x12, 0x45, 0x12, 0x64, 0x12, 0x84,
0x12, 0xa3, 0x12, 0xc3, 0x12, 0xe3, 0x13, 0x03, 0x13, 0x23, 0x13, 0x43,
0x13, 0x63, 0x13, 0x83, 0x13, 0xa4, 0x13, 0xc5, 0x13, 0xe5, 0x14, 0x06,
0x14, 0x27, 0x14, 0x49, 0x14, 0x6a, 0x14, 0x8b, 0x14, 0xad, 0x14, 0xce,
0x14, 0xf0, 0x15, 0x12, 0x15, 0x34, 0x15, 0x56, 0x15, 0x78, 0x15, 0x9b,
0x15, 0xbd, 0x15, 0xe0, 0x16, 0x03, 0x16, 0x26, 0x16, 0x49, 0x16, 0x6c,
0x16, 0x8f, 0x16, 0xb2, 0x16, 0xd6, 0x16, 0xfa, 0x17, 0x1d, 0x17, 0x41,
0x17, 0x65, 0x17, 0x89, 0x17, 0xae, 0x17, 0xd2, 0x17, 0xf7, 0x18, 0x1b,
0x18, 0x40, 0x18, 0x65, 0x18, 0x8a, 0x18, 0xaf, 0x18, 0xd5, 0x18, 0xfa,
0x19, 0x20, 0x19, 0x45, 0x19, 0x6b, 0x19, 0x91, 0x19, 0xb7, 0x19, 0xdd,
0x1a, 0x04, 0x1a, 0x2a, 0x1a, 0x51, 0x1a, 0x77, 0x1a, 0x9e, 0x1a, 0xc5,
0x1a, 0xec, 0x1b, 0x14, 0x1b, 0x3b, 0x1b, 0x63, 0x1b, 0x8a, 0x1b, 0xb2,
0x1b, 0xda, 0x1c, 0x02, 0x1c, 0x2a, 0x1c, 0x52, 0x1c, 0x7b, 0x1c, 0xa3,
0x1c, 0xcc, 0x1c, 0xf5, 0x1d, 0x1e, 0x1d, 0x47, 0x1d, 0x70, 0x1d, 0x99,
0x1d, 0xc3, 0x1d, 0xec, 0x1e, 0x16, 0x1e, 0x40, 0x1e, 0x6a, 0x1e, 0x94,
0x1e, 0xbe, 0x1e, 0xe9, 0x1f, 0x13, 0x1f, 0x3e, 0x1f, 0x69, 0x1f, 0x94,
0x1f, 0xbf, 0x1f, 0xea, 0x20, 0x15, 0x20, 0x41, 0x20, 0x6c, 0x20, 0x98,
0x20, 0xc4, 0x20, 0xf0, 0x21, 0x1c, 0x21, 0x48, 0x21, 0x75, 0x21, 0xa1,
0x21, 0xce, 0x21, 0xfb, 0x22, 0x27, 0x22, 0x55, 0x22, 0x82, 0x22, 0xaf,
0x22, 0xdd, 0x23, 0x0a, 0x23, 0x38, 0x23, 0x66, 0x23, 0x94, 0x23, 0xc2,
0x23, 0xf0, 0x24, 0x1f, 0x24, 0x4d, 0x24, 0x7c, 0x24, 0xab, 0x24, 0xda,
0x25, 0x09, 0x25, 0x38, 0x25, 0x68, 0x25, 0x97, 0x25, 0xc7, 0x25, 0xf7,
0x26, 0x27, 0x26, 0x57, 0x26, 0x87, 0x26, 0xb7, 0x26, 0xe8, 0x27, 0x18,
0x27, 0x49, 0x27, 0x7a, 0x27, 0xab, 0x27, 0xdc, 0x28, 0x0d, 0x28, 0x3f,
0x28, 0x71, 0x28, 0xa2, 0x28, 0xd4, 0x29, 0x06, 0x29, 0x38, 0x29, 0x6b,
0x29, 0x9d, 0x29, 0xd0, 0x2a, 0x02, 0x2a, 0x35, 0x2a, 0x68, 0x2a, 0x9b,
0x2a, 0xcf, 0x2b, 0x02, 0x2b, 0x36, 0x2b, 0x69, 0x2b, 0x9d, 0x2b, 0xd1,
0x2c, 0x05, 0x2c, 0x39, 0x2c, 0x6e, 0x2c, 0xa2, 0x2c, 0xd7, 0x2d, 0x0c,
0x2d, 0x41, 0x2d, 0x76, 0x2d, 0xab, 0x2d, 0xe1, 0x2e, 0x16, 0x2e, 0x4c,
0x2e, 0x82, 0x2e, 0xb7, 0x2e, 0xee, 0x2f, 0x24, 0x2f, 0x5a, 0x2f, 0x91,
0x2f, 0xc7, 0x2f, 0xfe, 0x30, 0x35, 0x30, 0x6c, 0x30, 0xa4, 0x30, 0xdb,
0x31, 0x12, 0x31, 0x4a, 0x31, 0x82, 0x31, 0xba, 0x31, 0xf2, 0x32, 0x2a,
0x32, 0x63, 0x32, 0x9b, 0x32, 0xd4, 0x33, 0x0d, 0x33, 0x46, 0x33, 0x7f,
0x33, 0xb8, 0x33, 0xf1, 0x34, 0x2b, 0x34, 0x65, 0x34, 0x9e, 0x34, 0xd8,
0x35, 0x13, 0x35, 0x4d, 0x35, 0x87, 0x35, 0xc2, 0x35, 0xfd, 0x36, 0x37,
0x36, 0x72, 0x36, 0xae, 0x36, 0xe9, 0x37, 0x24, 0x37, 0x60, 0x37, 0x9c,
0x37, 0xd7, 0x38, 0x14, 0x38, 0x50, 0x38, 0x8c, 0x38, 0xc8, 0x39, 0x05,
0x39, 0x42, 0x39, 0x7f, 0x39, 0xbc, 0x39, 0xf9, 0x3a, 0x36, 0x3a, 0x74,
0x3a, 0xb2, 0x3a, 0xef, 0x3b, 0x2d, 0x3b, 0x6b, 0x3b, 0xaa, 0x3b, 0xe8,
0x3c, 0x27, 0x3c, 0x65, 0x3c, 0xa4, 0x3c, 0xe3, 0x3d, 0x22, 0x3d, 0x61,
0x3d, 0xa1, 0x3d, 0xe0, 0x3e, 0x20, 0x3e, 0x60, 0x3e, 0xa0, 0x3e, 0xe0,
0x3f, 0x21, 0x3f, 0x61, 0x3f, 0xa2, 0x3f, 0xe2, 0x40, 0x23, 0x40, 0x64,
0x40, 0xa6, 0x40, 0xe7, 0x41, 0x29, 0x41, 0x6a, 0x41, 0xac, 0x41, 0xee,
0x42, 0x30, 0x42, 0x72, 0x42, 0xb5, 0x42, 0xf7, 0x43, 0x3a, 0x43, 0x7d,
0x43, 0xc0, 0x44, 0x03, 0x44, 0x47, 0x44, 0x8a, 0x44, 0xce, 0x45, 0x12,
0x45, 0x55, 0x45, 0x9a, 0x45, 0xde, 0x46, 0x22, 0x46, 0x67, 0x46, 0xab,
0x46, 0xf0, 0x47, 0x35, 0x47, 0x7b, 0x47, 0xc0, 0x48, 0x05, 0x48, 0x4b,
0x48, 0x91, 0x48, 0xd7, 0x49, 0x1d, 0x49, 0x63, 0x49, 0xa9, 0x49, 0xf0,
0x4a, 0x37, 0x4a, 0x7d, 0x4a, 0xc4, 0x4b, 0x0c, 0x4b, 0x53, 0x4b, 0x9a,
0x4b, 0xe2, 0x4c, 0x2a, 0x4c, 0x72, 0x4c, 0xba, 0x4d, 0x02, 0x4d, 0x4a,
0x4d, 0x93, 0x4d, 0xdc, 0x4e, 0x25, 0x4e, 0x6e, 0x4e, 0xb7, 0x4f, 0x00,
0x4f, 0x49, 0x4f, 0x93, 0x4f, 0xdd, 0x50, 0x27, 0x50, 0x71, 0x50, 0xbb,
0x51, 0x06, 0x51, 0x50, 0x51, 0x9b, 0x51, 0xe6, 0x52, 0x31, 0x52, 0x7c,
0x52, 0xc7, 0x53, 0x13, 0x53, 0x5f, 0x53, 0xaa, 0x53, 0xf6, 0x54, 0x42,
0x54, 0x8f, 0x54, 0xdb, 0x55, 0x28, 0x55, 0x75, 0x55, 0xc2, 0x56, 0x0f,
0x56, 0x5c, 0x56, 0xa9, 0x56, 0xf7, 0x57, 0x44, 0x57, 0x92, 0x57, 0xe0,
0x58, 0x2f, 0x58, 0x7d, 0x58, 0xcb, 0x59, 0x1a, 0x59, 0x69, 0x59, 0xb8,
0x5a, 0x07, 0x5a, 0x56, 0x5a, 0xa6, 0x5a, 0xf5, 0x5b, 0x45, 0x5b, 0x95,
0x5b, 0xe5, 0x5c, 0x35, 0x5c, 0x86, 0x5c, 0xd6, 0x5d, 0x27, 0x5d, 0x78,
0x5d, 0xc9, 0x5e, 0x1a, 0x5e, 0x6c, 0x5e, 0xbd, 0x5f, 0x0f, 0x5f, 0x61,
0x5f, 0xb3, 0x60, 0x05, 0x60, 0x57, 0x60, 0xaa, 0x60, 0xfc, 0x61, 0x4f,
0x61, 0xa2, 0x61, 0xf5, 0x62, 0x49, 0x62, 0x9c, 0x62, 0xf0, 0x63, 0x43,
0x63, 0x97, 0x63, 0xeb, 0x64, 0x40, 0x64, 0x94, 0x64, 0xe9, 0x65, 0x3d,
0x65, 0x92, 0x65, 0xe7, 0x66, 0x3d, 0x66, 0x92, 0x66, 0xe8, 0x67, 0x3d,
0x67, 0x93, 0x67, 0xe9, 0x68, 0x3f, 0x68, 0x96, 0x68, 0xec, 0x69, 0x43,
0x69, 0x9a, 0x69, 0xf1, 0x6a, 0x48, 0x6a, 0x9f, 0x6a, 0xf7, 0x6b, 0x4f,
0x6b, 0xa7, 0x6b, 0xff, 0x6c, 0x57, 0x6c, 0xaf, 0x6d, 0x08, 0x6d, 0x60,
0x6d, 0xb9, 0x6e, 0x12, 0x6e, 0x6b, 0x6e, 0xc4, 0x6f, 0x1e, 0x6f, 0x78,
0x6f, 0xd1, 0x70, 0x2b, 0x70, 0x86, 0x70, 0xe0, 0x71, 0x3a, 0x71, 0x95,
0x71, 0xf0, 0x72, 0x4b, 0x72, 0xa6, 0x73, 0x01, 0x73, 0x5d, 0x73, 0xb8,
0x74, 0x14, 0x74, 0x70, 0x74, 0xcc, 0x75, 0x28, 0x75, 0x85, 0x75, 0xe1,
0x76, 0x3e, 0x76, 0x9b, 0x76, 0xf8, 0x77, 0x56, 0x77, 0xb3, 0x78, 0x11,
0x78, 0x6e, 0x78, 0xcc, 0x79, 0x2a, 0x79, 0x89, 0x79, 0xe7, 0x7a, 0x46,
0x7a, 0xa5, 0x7b, 0x04, 0x7b, 0x63, 0x7b, 0xc2, 0x7c, 0x21, 0x7c, 0x81,
0x7c, 0xe1, 0x7d, 0x41, 0x7d, 0xa1, 0x7e, 0x01, 0x7e, 0x62, 0x7e, 0xc2,
0x7f, 0x23, 0x7f, 0x84, 0x7f, 0xe5, 0x80, 0x47, 0x80, 0xa8, 0x81, 0x0a,
0x81, 0x6b, 0x81, 0xcd, 0x82, 0x30, 0x82, 0x92, 0x82, 0xf4, 0x83, 0x57,
0x83, 0xba, 0x84, 0x1d, 0x84, 0x80, 0x84, 0xe3, 0x85, 0x47, 0x85, 0xab,
0x86, 0x0e, 0x86, 0x72, 0x86, 0xd7, 0x87, 0x3b, 0x87, 0x9f, 0x88, 0x04,
0x88, 0x69, 0x88, 0xce, 0x89, 0x33, 0x89, 0x99, 0x89, 0xfe, 0x8a, 0x64,
0x8a, 0xca, 0x8b, 0x30, 0x8b, 0x96, 0x8b, 0xfc, 0x8c, 0x63, 0x8c, 0xca,
0x8d, 0x31, 0x8d, 0x98, 0x8d, 0xff, 0x8e, 0x66, 0x8e, 0xce, 0x8f, 0x36,
0x8f, 0x9e, 0x90, 0x06, 0x90, 0x6e, 0x90, 0xd6, 0x91, 0x3f, 0x91, 0xa8,
0x92, 0x11, 0x92, 0x7a, 0x92, 0xe3, 0x93, 0x4d, 0x93, 0xb6, 0x94, 0x20,
0x94, 0x8a, 0x94, 0xf4, 0x95, 0x5f, 0x95, 0xc9, 0x96, 0x34, 0x96, 0x9f,
0x97, 0x0a, 0x97, 0x75, 0x97, 0xe0, 0x98, 0x4c, 0x98, 0xb8, 0x99, 0x24,
0x99, 0x90, 0x99, 0xfc, 0x9a, 0x68, 0x9a, 0xd5, 0x9b, 0x42, 0x9b, 0xaf,
0x9c, 0x1c, 0x9c, 0x89, 0x9c, 0xf7, 0x9d, 0x64, 0x9d, 0xd2, 0x9e, 0x40,
0x9e, 0xae, 0x9f, 0x1d, 0x9f, 0x8b, 0x9f, 0xfa, 0xa0, 0x69, 0xa0, 0xd8,
0xa1, 0x47, 0xa1, 0xb6, 0xa2, 0x26, 0xa2, 0x96, 0xa3, 0x06, 0xa3, 0x76,
0xa3, 0xe6, 0xa4, 0x56, 0xa4, 0xc7, 0xa5, 0x38, 0xa5, 0xa9, 0xa6, 0x1a,
0xa6, 0x8b, 0xa6, 0xfd, 0xa7, 0x6e, 0xa7, 0xe0, 0xa8, 0x52, 0xa8, 0xc4,
0xa9, 0x37, 0xa9, 0xa9, 0xaa, 0x1c, 0xaa, 0x8f, 0xab, 0x02, 0xab, 0x75,
0xab, 0xe9, 0xac, 0x5c, 0xac, 0xd0, 0xad, 0x44, 0xad, 0xb8, 0xae, 0x2d,
0xae, 0xa1, 0xaf, 0x16, 0xaf, 0x8b, 0xb0, 0x00, 0xb0, 0x75, 0xb0, 0xea,
0xb1, 0x60, 0xb1, 0xd6, 0xb2, 0x4b, 0xb2, 0xc2, 0xb3, 0x38, 0xb3, 0xae,
0xb4, 0x25, 0xb4, 0x9c, 0xb5, 0x13, 0xb5, 0x8a, 0xb6, 0x01, 0xb6, 0x79,
0xb6, 0xf0, 0xb7, 0x68, 0xb7, 0xe0, 0xb8, 0x59, 0xb8, 0xd1, 0xb9, 0x4a,
0xb9, 0xc2, 0xba, 0x3b, 0xba, 0xb5, 0xbb, 0x2e, 0xbb, 0xa7, 0xbc, 0x21,
0xbc, 0x9b, 0xbd, 0x15, 0xbd, 0x8f, 0xbe, 0x0a, 0xbe, 0x84, 0xbe, 0xff,
0xbf, 0x7a, 0xbf, 0xf5, 0xc0, 0x70, 0xc0, 0xec, 0xc1, 0x67, 0xc1, 0xe3,
0xc2, 0x5f, 0xc2, 0xdb, 0xc3, 0x58, 0xc3, 0xd4, 0xc4, 0x51, 0xc4, 0xce,
0xc5, 0x4b, 0xc5, 0xc8, 0xc6, 0x46, 0xc6, 0xc3, 0xc7, 0x41, 0xc7, 0xbf,
0xc8, 0x3d, 0xc8, 0xbc, 0xc9, 0x3a, 0xc9, 0xb9, 0xca, 0x38, 0xca, 0xb7,
0xcb, 0x36, 0xcb, 0xb6, 0xcc, 0x35, 0xcc, 0xb5, 0xcd, 0x35, 0xcd, 0xb5,
0xce, 0x36, 0xce, 0xb6, 0xcf, 0x37, 0xcf, 0xb8, 0xd0, 0x39, 0xd0, 0xba,
0xd1, 0x3c, 0xd1, 0xbe, 0xd2, 0x3f, 0xd2, 0xc1, 0xd3, 0x44, 0xd3, 0xc6,
0xd4, 0x49, 0xd4, 0xcb, 0xd5, 0x4e, 0xd5, 0xd1, 0xd6, 0x55, 0xd6, 0xd8,
0xd7, 0x5c, 0xd7, 0xe0, 0xd8, 0x64, 0xd8, 0xe8, 0xd9, 0x6c, 0xd9, 0xf1,
0xda, 0x76, 0xda, 0xfb, 0xdb, 0x80, 0xdc, 0x05, 0xdc, 0x8a, 0xdd, 0x10,
0xdd, 0x96, 0xde, 0x1c, 0xde, 0xa2, 0xdf, 0x29, 0xdf, 0xaf, 0xe0, 0x36,
0xe0, 0xbd, 0xe1, 0x44, 0xe1, 0xcc, 0xe2, 0x53, 0xe2, 0xdb, 0xe3, 0x63,
0xe3, 0xeb, 0xe4, 0x73, 0xe4, 0xfc, 0xe5, 0x84, 0xe6, 0x0d, 0xe6, 0x96,
0xe7, 0x1f, 0xe7, 0xa9, 0xe8, 0x32, 0xe8, 0xbc, 0xe9, 0x46, 0xe9, 0xd0,
0xea, 0x5b, 0xea, 0xe5, 0xeb, 0x70, 0xeb, 0xfb, 0xec, 0x86, 0xed, 0x11,
0xed, 0x9c, 0xee, 0x28, 0xee, 0xb4, 0xef, 0x40, 0xef, 0xcc, 0xf0, 0x58,
0xf0, 0xe5, 0xf1, 0x72, 0xf1, 0xff, 0xf2, 0x8c, 0xf3, 0x19, 0xf3, 0xa7,
0xf4, 0x34, 0xf4, 0xc2, 0xf5, 0x50, 0xf5, 0xde, 0xf6, 0x6d, 0xf6, 0xfb,
0xf7, 0x8a, 0xf8, 0x19, 0xf8, 0xa8, 0xf9, 0x38, 0xf9, 0xc7, 0xfa, 0x57,
0xfa, 0xe7, 0xfb, 0x77, 0xfc, 0x07, 0xfc, 0x98, 0xfd, 0x29, 0xfd, 0xba,
0xfe, 0x4b, 0xfe, 0xdc, 0xff, 0x6d, 0xff, 0xff
};
StringInfo
*profile;
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (GetImageProfile(image,"icc") != (const StringInfo *) NULL)
return(MagickFalse);
profile=AcquireStringInfo(sizeof(sRGBProfile));
SetStringInfoDatum(profile,sRGBProfile);
status=SetImageProfile(image,"icc",profile);
profile=DestroyStringInfo(profile);
return(status);
}
MagickExport MagickBooleanType ProfileImage(Image *image,const char *name,
const void *datum,const size_t length,
const MagickBooleanType magick_unused(clone))
{
#define ProfileImageTag "Profile/Image"
#define ThrowProfileException(severity,tag,context) \
{ \
if (source_profile != (cmsHPROFILE) NULL) \
(void) cmsCloseProfile(source_profile); \
if (target_profile != (cmsHPROFILE) NULL) \
(void) cmsCloseProfile(target_profile); \
ThrowBinaryException(severity,tag,context); \
}
MagickBooleanType
status;
StringInfo
*profile;
magick_unreferenced(clone);
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(name != (const char *) NULL);
if ((datum == (const void *) NULL) || (length == 0))
{
char
*next;
/*
Delete image profile(s).
*/
ResetImageProfileIterator(image);
for (next=GetNextImageProfile(image); next != (const char *) NULL; )
{
if (IsOptionMember(next,name) != MagickFalse)
{
(void) DeleteImageProfile(image,next);
ResetImageProfileIterator(image);
}
next=GetNextImageProfile(image);
}
return(MagickTrue);
}
/*
Add a ICC, IPTC, or generic profile to the image.
*/
status=MagickTrue;
profile=AcquireStringInfo((size_t) length);
SetStringInfoDatum(profile,(unsigned char *) datum);
if ((LocaleCompare(name,"icc") != 0) && (LocaleCompare(name,"icm") != 0))
status=SetImageProfile(image,name,profile);
else
{
const StringInfo
*icc_profile;
icc_profile=GetImageProfile(image,"icc");
if ((icc_profile != (const StringInfo *) NULL) &&
(CompareStringInfo(icc_profile,profile) == 0))
{
const char
*value;
value=GetImageProperty(image,"exif:ColorSpace");
(void) value;
if (LocaleCompare(value,"1") != 0)
(void) SetsRGBImageProfile(image);
value=GetImageProperty(image,"exif:InteroperabilityIndex");
if (LocaleCompare(value,"R98.") != 0)
(void) SetsRGBImageProfile(image);
/* Future.
value=GetImageProperty(image,"exif:InteroperabilityIndex");
if (LocaleCompare(value,"R03.") != 0)
(void) SetAdobeRGB1998ImageProfile(image);
*/
icc_profile=GetImageProfile(image,"icc");
}
if ((icc_profile != (const StringInfo *) NULL) &&
(CompareStringInfo(icc_profile,profile) == 0))
{
profile=DestroyStringInfo(profile);
return(MagickTrue);
}
#if !defined(MAGICKCORE_LCMS_DELEGATE)
(void) ThrowMagickException(&image->exception,GetMagickModule(),
MissingDelegateWarning,"DelegateLibrarySupportNotBuiltIn","`%s' (LCMS)",
image->filename);
#else
{
cmsHPROFILE
source_profile;
/*
Transform pixel colors as defined by the color profiles.
*/
cmsSetLogErrorHandler(LCMSExceptionHandler);
source_profile=cmsOpenProfileFromMemTHR((cmsContext) image,
GetStringInfoDatum(profile),(cmsUInt32Number)
GetStringInfoLength(profile));
if (source_profile == (cmsHPROFILE) NULL)
ThrowBinaryImageException(ResourceLimitError,
"ColorspaceColorProfileMismatch",name);
if ((cmsGetDeviceClass(source_profile) != cmsSigLinkClass) &&
(icc_profile == (StringInfo *) NULL))
status=SetImageProfile(image,name,profile);
else
{
CacheView
*image_view;
ColorspaceType
source_colorspace,
target_colorspace;
cmsColorSpaceSignature
signature;
cmsHPROFILE
target_profile;
cmsHTRANSFORM
*magick_restrict transform;
cmsUInt32Number
flags,
source_type,
target_type;
ExceptionInfo
*exception;
int
intent;
LCMSType
**magick_restrict source_pixels,
**magick_restrict target_pixels;
#if defined(LCMSHDRI)
LCMSType
source_scale,
target_scale;
#endif
MagickOffsetType
progress;
size_t
source_channels,
target_channels;
ssize_t
y;
exception=(&image->exception);
target_profile=(cmsHPROFILE) NULL;
if (icc_profile != (StringInfo *) NULL)
{
target_profile=source_profile;
source_profile=cmsOpenProfileFromMemTHR((cmsContext) image,
GetStringInfoDatum(icc_profile),(cmsUInt32Number)
GetStringInfoLength(icc_profile));
if (source_profile == (cmsHPROFILE) NULL)
ThrowProfileException(ResourceLimitError,
"ColorspaceColorProfileMismatch",name);
}
#if defined(LCMSHDRI)
source_scale=1.0;
#endif
source_colorspace=sRGBColorspace;
source_channels=3;
switch (cmsGetColorSpace(source_profile))
{
case cmsSigCmykData:
{
source_colorspace=CMYKColorspace;
source_channels=4;
#if defined(LCMSHDRI)
source_type=(cmsUInt32Number) TYPE_CMYK_DBL;
source_scale=100.0;
#else
source_type=(cmsUInt32Number) TYPE_CMYK_16;
#endif
break;
}
case cmsSigGrayData:
{
source_colorspace=GRAYColorspace;
source_channels=1;
#if defined(LCMSHDRI)
source_type=(cmsUInt32Number) TYPE_GRAY_DBL;
#else
source_type=(cmsUInt32Number) TYPE_GRAY_16;
#endif
break;
}
case cmsSigLabData:
{
source_colorspace=LabColorspace;
#if defined(LCMSHDRI)
source_type=(cmsUInt32Number) TYPE_Lab_DBL;
source_scale=100.0;
#else
source_type=(cmsUInt32Number) TYPE_Lab_16;
#endif
break;
}
#if !defined(LCMSHDRI)
case cmsSigLuvData:
{
source_colorspace=YUVColorspace;
source_type=(cmsUInt32Number) TYPE_YUV_16;
break;
}
#endif
case cmsSigRgbData:
{
#if defined(LCMSHDRI)
source_colorspace=sRGBColorspace;
source_type=(cmsUInt32Number) TYPE_RGB_DBL;
#else
source_type=(cmsUInt32Number) TYPE_RGB_16;
#endif
break;
}
case cmsSigXYZData:
{
source_colorspace=XYZColorspace;
#if defined(LCMSHDRI)
source_type=(cmsUInt32Number) TYPE_XYZ_DBL;
#else
source_type=(cmsUInt32Number) TYPE_XYZ_16;
#endif
break;
}
#if !defined(LCMSHDRI)
case cmsSigYCbCrData:
{
source_colorspace=YUVColorspace;
source_type=(cmsUInt32Number) TYPE_YCbCr_16;
break;
}
#endif
default:
ThrowProfileException(ImageError,
"ColorspaceColorProfileMismatch",name);
}
(void) source_colorspace;
signature=cmsGetPCS(source_profile);
if (target_profile != (cmsHPROFILE) NULL)
signature=cmsGetColorSpace(target_profile);
#if defined(LCMSHDRI)
target_scale=1.0;
#endif
target_channels=3;
switch (signature)
{
case cmsSigCmykData:
{
target_colorspace=CMYKColorspace;
target_channels=4;
#if defined(LCMSHDRI)
target_type=(cmsUInt32Number) TYPE_CMYK_DBL;
target_scale=0.01;
#else
target_type=(cmsUInt32Number) TYPE_CMYK_16;
#endif
break;
}
case cmsSigGrayData:
{
target_colorspace=GRAYColorspace;
target_channels=1;
#if defined(LCMSHDRI)
target_type=(cmsUInt32Number) TYPE_GRAY_DBL;
#else
target_type=(cmsUInt32Number) TYPE_GRAY_16;
#endif
break;
}
case cmsSigLabData:
{
target_colorspace=LabColorspace;
#if defined(LCMSHDRI)
target_type=(cmsUInt32Number) TYPE_Lab_DBL;
target_scale=0.01;
#else
target_type=(cmsUInt32Number) TYPE_Lab_16;
#endif
break;
}
#if !defined(LCMSHDRI)
case cmsSigLuvData:
{
target_colorspace=YUVColorspace;
target_type=(cmsUInt32Number) TYPE_YUV_16;
break;
}
#endif
case cmsSigRgbData:
{
target_colorspace=sRGBColorspace;
#if defined(LCMSHDRI)
target_type=(cmsUInt32Number) TYPE_RGB_DBL;
#else
target_type=(cmsUInt32Number) TYPE_RGB_16;
#endif
break;
}
case cmsSigXYZData:
{
target_colorspace=XYZColorspace;
#if defined(LCMSHDRI)
target_type=(cmsUInt32Number) TYPE_XYZ_DBL;
#else
target_type=(cmsUInt32Number) TYPE_XYZ_16;
#endif
break;
}
default:
ThrowProfileException(ImageError,
"ColorspaceColorProfileMismatch",name);
}
switch (image->rendering_intent)
{
case AbsoluteIntent: intent=INTENT_ABSOLUTE_COLORIMETRIC; break;
case PerceptualIntent: intent=INTENT_PERCEPTUAL; break;
case RelativeIntent: intent=INTENT_RELATIVE_COLORIMETRIC; break;
case SaturationIntent: intent=INTENT_SATURATION; break;
default: intent=INTENT_PERCEPTUAL; break;
}
flags=cmsFLAGS_HIGHRESPRECALC;
#if defined(cmsFLAGS_BLACKPOINTCOMPENSATION)
if (image->black_point_compensation != MagickFalse)
flags|=cmsFLAGS_BLACKPOINTCOMPENSATION;
#endif
transform=AcquireTransformThreadSet(image,source_profile,
source_type,target_profile,target_type,intent,flags);
if (transform == (cmsHTRANSFORM *) NULL)
ThrowProfileException(ImageError,"UnableToCreateColorTransform",
name);
/*
Transform image as dictated by the source & target image profiles.
*/
source_pixels=AcquirePixelThreadSet(image->columns,source_channels);
target_pixels=AcquirePixelThreadSet(image->columns,target_channels);
if ((source_pixels == (LCMSType **) NULL) ||
(target_pixels == (LCMSType **) NULL))
{
target_pixels=DestroyPixelThreadSet(target_pixels);
source_pixels=DestroyPixelThreadSet(source_pixels);
transform=DestroyTransformThreadSet(transform);
ThrowProfileException(ResourceLimitError,
"MemoryAllocationFailed",image->filename);
}
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
{
target_pixels=DestroyPixelThreadSet(target_pixels);
source_pixels=DestroyPixelThreadSet(source_pixels);
transform=DestroyTransformThreadSet(transform);
if (source_profile != (cmsHPROFILE) NULL)
(void) cmsCloseProfile(source_profile);
if (target_profile != (cmsHPROFILE) NULL)
(void) cmsCloseProfile(target_profile);
return(MagickFalse);
}
if (target_colorspace == CMYKColorspace)
(void) SetImageColorspace(image,target_colorspace);
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
MagickBooleanType
sync;
register IndexPacket
*magick_restrict indexes;
register LCMSType
*p;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
p=source_pixels[id];
for (x=0; x < (ssize_t) image->columns; x++)
{
*p++=LCMSScaleSource(GetPixelRed(q));
if (source_channels > 1)
{
*p++=LCMSScaleSource(GetPixelGreen(q));
*p++=LCMSScaleSource(GetPixelBlue(q));
}
if (source_channels > 3)
*p++=LCMSScaleSource(GetPixelIndex(indexes+x));
q++;
}
cmsDoTransform(transform[id],source_pixels[id],target_pixels[id],
(unsigned int) image->columns);
p=target_pixels[id];
q-=image->columns;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,LCMSScaleTarget(*p));
SetPixelGreen(q,GetPixelRed(q));
SetPixelBlue(q,GetPixelRed(q));
p++;
if (target_channels > 1)
{
SetPixelGreen(q,LCMSScaleTarget(*p));
p++;
SetPixelBlue(q,LCMSScaleTarget(*p));
p++;
}
if (target_channels > 3)
{
SetPixelIndex(indexes+x,LCMSScaleTarget(*p));
p++;
}
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ProfileImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
(void) SetImageColorspace(image,target_colorspace);
switch (signature)
{
case cmsSigRgbData:
{
image->type=image->matte == MagickFalse ? TrueColorType :
TrueColorMatteType;
break;
}
case cmsSigCmykData:
{
image->type=image->matte == MagickFalse ? ColorSeparationType :
ColorSeparationMatteType;
break;
}
case cmsSigGrayData:
{
image->type=image->matte == MagickFalse ? GrayscaleType :
GrayscaleMatteType;
break;
}
default:
break;
}
target_pixels=DestroyPixelThreadSet(target_pixels);
source_pixels=DestroyPixelThreadSet(source_pixels);
transform=DestroyTransformThreadSet(transform);
if ((status != MagickFalse) &&
(cmsGetDeviceClass(source_profile) != cmsSigLinkClass))
status=SetImageProfile(image,name,profile);
if (target_profile != (cmsHPROFILE) NULL)
(void) cmsCloseProfile(target_profile);
}
(void) cmsCloseProfile(source_profile);
}
#endif
}
profile=DestroyStringInfo(profile);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e m o v e I m a g e P r o f i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RemoveImageProfile() removes a named profile from the image and returns its
% value.
%
% The format of the RemoveImageProfile method is:
%
% void *RemoveImageProfile(Image *image,const char *name)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o name: the profile name.
%
*/
MagickExport StringInfo *RemoveImageProfile(Image *image,const char *name)
{
StringInfo
*profile;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->profiles == (SplayTreeInfo *) NULL)
return((StringInfo *) NULL);
if (LocaleCompare(name,"icc") == 0)
{
/*
Continue to support deprecated color profile for now.
*/
image->color_profile.length=0;
image->color_profile.info=(unsigned char *) NULL;
}
if (LocaleCompare(name,"iptc") == 0)
{
/*
Continue to support deprecated IPTC profile for now.
*/
image->iptc_profile.length=0;
image->iptc_profile.info=(unsigned char *) NULL;
}
WriteTo8BimProfile(image,name,(StringInfo *) NULL);
profile=(StringInfo *) RemoveNodeFromSplayTree((SplayTreeInfo *)
image->profiles,name);
return(profile);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s e t P r o f i l e I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetImageProfileIterator() resets the image profile iterator. Use it in
% conjunction with GetNextImageProfile() to iterate over all the profiles
% associated with an image.
%
% The format of the ResetImageProfileIterator method is:
%
% ResetImageProfileIterator(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void ResetImageProfileIterator(const Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->profiles == (SplayTreeInfo *) NULL)
return;
ResetSplayTreeIterator((SplayTreeInfo *) image->profiles);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e P r o f i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageProfile() adds a named profile to the image. If a profile with the
% same name already exists, it is replaced. This method differs from the
% ProfileImage() method in that it does not apply CMS color profiles.
%
% The format of the SetImageProfile method is:
%
% MagickBooleanType SetImageProfile(Image *image,const char *name,
% const StringInfo *profile)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o name: the profile name, for example icc, exif, and 8bim (8bim is the
% Photoshop wrapper for iptc profiles).
%
% o profile: A StringInfo structure that contains the named profile.
%
*/
static void *DestroyProfile(void *profile)
{
return((void *) DestroyStringInfo((StringInfo *) profile));
}
static inline const unsigned char *ReadResourceByte(const unsigned char *p,
unsigned char *quantum)
{
*quantum=(*p++);
return(p);
}
static inline const unsigned char *ReadResourceLong(const unsigned char *p,
unsigned int *quantum)
{
*quantum=(unsigned int) (*p++) << 24;
*quantum|=(unsigned int) (*p++) << 16;
*quantum|=(unsigned int) (*p++) << 8;
*quantum|=(unsigned int) (*p++);
return(p);
}
static inline const unsigned char *ReadResourceShort(const unsigned char *p,
unsigned short *quantum)
{
*quantum=(unsigned short) (*p++) << 8;
*quantum|=(unsigned short) (*p++);
return(p);
}
static inline void WriteResourceLong(unsigned char *p,
const unsigned int quantum)
{
unsigned char
buffer[4];
buffer[0]=(unsigned char) (quantum >> 24);
buffer[1]=(unsigned char) (quantum >> 16);
buffer[2]=(unsigned char) (quantum >> 8);
buffer[3]=(unsigned char) quantum;
(void) memcpy(p,buffer,4);
}
static void WriteTo8BimProfile(Image *image,const char *name,
const StringInfo *profile)
{
const unsigned char
*datum,
*q;
register const unsigned char
*p;
size_t
length;
StringInfo
*profile_8bim;
ssize_t
count;
unsigned char
length_byte;
unsigned int
value;
unsigned short
id,
profile_id;
if (LocaleCompare(name,"icc") == 0)
profile_id=0x040f;
else
if (LocaleCompare(name,"iptc") == 0)
profile_id=0x0404;
else
if (LocaleCompare(name,"xmp") == 0)
profile_id=0x0424;
else
return;
profile_8bim=(StringInfo *) GetValueFromSplayTree((SplayTreeInfo *)
image->profiles,"8bim");
if (profile_8bim == (StringInfo *) NULL)
return;
datum=GetStringInfoDatum(profile_8bim);
length=GetStringInfoLength(profile_8bim);
for (p=datum; p < (datum+length-16); )
{
q=p;
if (LocaleNCompare((char *) p,"8BIM",4) != 0)
break;
p+=4;
p=ReadResourceShort(p,&id);
p=ReadResourceByte(p,&length_byte);
p+=length_byte;
if (((length_byte+1) & 0x01) != 0)
p++;
if (p > (datum+length-4))
break;
p=ReadResourceLong(p,&value);
count=(ssize_t) value;
if ((count & 0x01) != 0)
count++;
if ((count < 0) || (p > (datum+length-count)) || (count > (ssize_t) length))
break;
if (id != profile_id)
p+=count;
else
{
size_t
extent,
offset;
ssize_t
extract_extent;
StringInfo
*extract_profile;
extract_extent=0;
extent=(datum+length)-(p+count);
if (profile == (StringInfo *) NULL)
{
offset=(q-datum);
extract_profile=AcquireStringInfo(offset+extent);
(void) memcpy(extract_profile->datum,datum,offset);
}
else
{
offset=(p-datum);
extract_extent=profile->length;
if ((extract_extent & 0x01) != 0)
extract_extent++;
extract_profile=AcquireStringInfo(offset+extract_extent+extent);
(void) memcpy(extract_profile->datum,datum,offset-4);
WriteResourceLong(extract_profile->datum+offset-4,(unsigned int)
profile->length);
(void) memcpy(extract_profile->datum+offset,
profile->datum,profile->length);
}
(void) memcpy(extract_profile->datum+offset+extract_extent,
p+count,extent);
(void) AddValueToSplayTree((SplayTreeInfo *) image->profiles,
ConstantString("8bim"),CloneStringInfo(extract_profile));
extract_profile=DestroyStringInfo(extract_profile);
break;
}
}
}
static void GetProfilesFromResourceBlock(Image *image,
const StringInfo *resource_block)
{
const unsigned char
*datum;
register const unsigned char
*p;
size_t
length;
ssize_t
count;
StringInfo
*profile;
unsigned char
length_byte;
unsigned int
value;
unsigned short
id;
datum=GetStringInfoDatum(resource_block);
length=GetStringInfoLength(resource_block);
for (p=datum; p < (datum+length-16); )
{
if (LocaleNCompare((char *) p,"8BIM",4) != 0)
break;
p+=4;
p=ReadResourceShort(p,&id);
p=ReadResourceByte(p,&length_byte);
p+=length_byte;
if (((length_byte+1) & 0x01) != 0)
p++;
if (p > (datum+length-4))
break;
p=ReadResourceLong(p,&value);
count=(ssize_t) value;
if ((p > (datum+length-count)) || (count > (ssize_t) length) || (count < 0))
break;
switch (id)
{
case 0x03ed:
{
unsigned int
resolution;
unsigned short
units;
/*
Resolution.
*/
if (count < 10)
break;
p=ReadResourceLong(p,&resolution);
image->x_resolution=((double) resolution)/65536.0;
p=ReadResourceShort(p,&units)+2;
p=ReadResourceLong(p,&resolution)+4;
image->y_resolution=((double) resolution)/65536.0;
/*
Values are always stored as pixels per inch.
*/
if ((ResolutionType) units != PixelsPerCentimeterResolution)
image->units=PixelsPerInchResolution;
else
{
image->units=PixelsPerCentimeterResolution;
image->x_resolution/=2.54;
image->y_resolution/=2.54;
}
break;
}
case 0x0404:
{
/*
IPTC Profile
*/
profile=AcquireStringInfo(count);
SetStringInfoDatum(profile,p);
(void) SetImageProfileInternal(image,"iptc",profile,MagickTrue);
profile=DestroyStringInfo(profile);
p+=count;
break;
}
case 0x040c:
{
/*
Thumbnail.
*/
p+=count;
break;
}
case 0x040f:
{
/*
ICC Profile.
*/
profile=AcquireStringInfo(count);
SetStringInfoDatum(profile,p);
(void) SetImageProfileInternal(image,"icc",profile,MagickTrue);
profile=DestroyStringInfo(profile);
p+=count;
break;
}
case 0x0422:
{
/*
EXIF Profile.
*/
profile=AcquireStringInfo(count);
SetStringInfoDatum(profile,p);
(void) SetImageProfileInternal(image,"exif",profile,MagickTrue);
profile=DestroyStringInfo(profile);
p+=count;
break;
}
case 0x0424:
{
/*
XMP Profile.
*/
profile=AcquireStringInfo(count);
SetStringInfoDatum(profile,p);
(void) SetImageProfileInternal(image,"xmp",profile,MagickTrue);
profile=DestroyStringInfo(profile);
p+=count;
break;
}
default:
{
p+=count;
break;
}
}
if ((count & 0x01) != 0)
p++;
}
}
static MagickBooleanType ValidateXMPProfile(const StringInfo *profile)
{
#if defined(MAGICKCORE_XML_DELEGATE)
{
xmlDocPtr
document;
/*
Parse XML profile.
*/
document=xmlReadMemory((const char *) GetStringInfoDatum(profile),(int)
GetStringInfoLength(profile),"xmp.xml",NULL,XML_PARSE_NOERROR |
XML_PARSE_NOWARNING);
if (document == (xmlDocPtr) NULL)
return(MagickFalse);
xmlFreeDoc(document);
return(MagickTrue);
}
#else
return(MagickTrue);
#endif
}
static MagickBooleanType SetImageProfileInternal(Image *image,const char *name,
const StringInfo *profile,const MagickBooleanType recursive)
{
char
key[MaxTextExtent],
property[MaxTextExtent];
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((LocaleCompare(name,"xmp") == 0) &&
(ValidateXMPProfile(profile) == MagickFalse))
{
(void) ThrowMagickException(&image->exception,GetMagickModule(),
ImageWarning,"CorruptImageProfile","`%s'",name);
return(MagickTrue);
}
if (image->profiles == (SplayTreeInfo *) NULL)
image->profiles=NewSplayTree(CompareSplayTreeString,RelinquishMagickMemory,
DestroyProfile);
(void) CopyMagickString(key,name,MaxTextExtent);
LocaleLower(key);
status=AddValueToSplayTree((SplayTreeInfo *) image->profiles,
ConstantString(key),CloneStringInfo(profile));
if ((status != MagickFalse) &&
((LocaleCompare(name,"icc") == 0) || (LocaleCompare(name,"icm") == 0)))
{
const StringInfo
*icc_profile;
/*
Continue to support deprecated color profile member.
*/
icc_profile=GetImageProfile(image,name);
if (icc_profile != (const StringInfo *) NULL)
{
image->color_profile.length=GetStringInfoLength(icc_profile);
image->color_profile.info=GetStringInfoDatum(icc_profile);
}
}
if ((status != MagickFalse) &&
((LocaleCompare(name,"iptc") == 0) || (LocaleCompare(name,"8bim") == 0)))
{
const StringInfo
*iptc_profile;
/*
Continue to support deprecated IPTC profile member.
*/
iptc_profile=GetImageProfile(image,name);
if (iptc_profile != (const StringInfo *) NULL)
{
image->iptc_profile.length=GetStringInfoLength(iptc_profile);
image->iptc_profile.info=GetStringInfoDatum(iptc_profile);
}
}
if (status != MagickFalse)
{
if (LocaleCompare(name,"8bim") == 0)
GetProfilesFromResourceBlock(image,profile);
else
if (recursive == MagickFalse)
WriteTo8BimProfile(image,name,profile);
}
/*
Inject profile into image properties.
*/
(void) FormatLocaleString(property,MaxTextExtent,"%s:*",name);
(void) GetImageProperty(image,property);
return(status);
}
MagickExport MagickBooleanType SetImageProfile(Image *image,const char *name,
const StringInfo *profile)
{
return(SetImageProfileInternal(image,name,profile,MagickFalse));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S y n c I m a g e P r o f i l e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncImageProfiles() synchronizes image properties with the image profiles.
% Currently we only support updating the EXIF resolution and orientation.
%
% The format of the SyncImageProfiles method is:
%
% MagickBooleanType SyncImageProfiles(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static inline int ReadProfileByte(unsigned char **p,size_t *length)
{
int
c;
if (*length < 1)
return(EOF);
c=(int) (*(*p)++);
(*length)--;
return(c);
}
static inline signed short ReadProfileShort(const EndianType endian,
unsigned char *buffer)
{
union
{
unsigned int
unsigned_value;
signed int
signed_value;
} quantum;
unsigned short
value;
if (endian == LSBEndian)
{
value=(unsigned short) buffer[1] << 8;
value|=(unsigned short) buffer[0];
quantum.unsigned_value=value & 0xffff;
return(quantum.signed_value);
}
value=(unsigned short) buffer[0] << 8;
value|=(unsigned short) buffer[1];
quantum.unsigned_value=value & 0xffff;
return(quantum.signed_value);
}
static inline signed int ReadProfileLong(const EndianType endian,
unsigned char *buffer)
{
union
{
unsigned int
unsigned_value;
signed int
signed_value;
} quantum;
unsigned int
value;
if (endian == LSBEndian)
{
value=(unsigned int) buffer[3] << 24;
value|=(unsigned int) buffer[2] << 16;
value|=(unsigned int) buffer[1] << 8;
value|=(unsigned int) buffer[0];
quantum.unsigned_value=value & 0xffffffff;
return(quantum.signed_value);
}
value=(unsigned int) buffer[0] << 24;
value|=(unsigned int) buffer[1] << 16;
value|=(unsigned int) buffer[2] << 8;
value|=(unsigned int) buffer[3];
quantum.unsigned_value=value & 0xffffffff;
return(quantum.signed_value);
}
static inline signed int ReadProfileMSBLong(unsigned char **p,size_t *length)
{
signed int
value;
if (*length < 4)
return(0);
value=ReadProfileLong(MSBEndian,*p);
(*length)-=4;
*p+=4;
return(value);
}
static inline signed short ReadProfileMSBShort(unsigned char **p,
size_t *length)
{
signed short
value;
if (*length < 2)
return(0);
value=ReadProfileShort(MSBEndian,*p);
(*length)-=2;
*p+=2;
return(value);
}
static inline void WriteProfileLong(const EndianType endian,
const size_t value,unsigned char *p)
{
unsigned char
buffer[4];
if (endian == LSBEndian)
{
buffer[0]=(unsigned char) value;
buffer[1]=(unsigned char) (value >> 8);
buffer[2]=(unsigned char) (value >> 16);
buffer[3]=(unsigned char) (value >> 24);
(void) memcpy(p,buffer,4);
return;
}
buffer[0]=(unsigned char) (value >> 24);
buffer[1]=(unsigned char) (value >> 16);
buffer[2]=(unsigned char) (value >> 8);
buffer[3]=(unsigned char) value;
(void) memcpy(p,buffer,4);
}
static void WriteProfileShort(const EndianType endian,
const unsigned short value,unsigned char *p)
{
unsigned char
buffer[2];
if (endian == LSBEndian)
{
buffer[0]=(unsigned char) value;
buffer[1]=(unsigned char) (value >> 8);
(void) memcpy(p,buffer,2);
return;
}
buffer[0]=(unsigned char) (value >> 8);
buffer[1]=(unsigned char) value;
(void) memcpy(p,buffer,2);
}
static MagickBooleanType Sync8BimProfile(Image *image,StringInfo *profile)
{
size_t
length;
ssize_t
count;
unsigned char
*p;
unsigned short
id;
length=GetStringInfoLength(profile);
p=GetStringInfoDatum(profile);
while (length != 0)
{
if (ReadProfileByte(&p,&length) != 0x38)
continue;
if (ReadProfileByte(&p,&length) != 0x42)
continue;
if (ReadProfileByte(&p,&length) != 0x49)
continue;
if (ReadProfileByte(&p,&length) != 0x4D)
continue;
if (length < 7)
return(MagickFalse);
id=ReadProfileMSBShort(&p,&length);
count=(ssize_t) ReadProfileByte(&p,&length);
if ((count >= (ssize_t) length) || (count < 0))
return(MagickFalse);
p+=count;
length-=count;
if ((*p & 0x01) == 0)
(void) ReadProfileByte(&p,&length);
count=(ssize_t) ReadProfileMSBLong(&p,&length);
if ((count > (ssize_t) length) || (count < 0))
return(MagickFalse);
if ((id == 0x3ED) && (count == 16))
{
if (image->units == PixelsPerCentimeterResolution)
WriteProfileLong(MSBEndian,(unsigned int) (image->x_resolution*2.54*
65536.0),p);
else
WriteProfileLong(MSBEndian,(unsigned int) (image->x_resolution*
65536.0),p);
WriteProfileShort(MSBEndian,(unsigned short) image->units,p+4);
if (image->units == PixelsPerCentimeterResolution)
WriteProfileLong(MSBEndian,(unsigned int) (image->y_resolution*2.54*
65536.0),p+8);
else
WriteProfileLong(MSBEndian,(unsigned int) (image->y_resolution*
65536.0),p+8);
WriteProfileShort(MSBEndian,(unsigned short) image->units,p+12);
}
p+=count;
length-=count;
}
return(MagickTrue);
}
static MagickBooleanType SyncExifProfile(Image *image, StringInfo *profile)
{
#define MaxDirectoryStack 16
#define EXIF_DELIMITER "\n"
#define EXIF_NUM_FORMATS 12
#define TAG_EXIF_OFFSET 0x8769
#define TAG_INTEROP_OFFSET 0xa005
typedef struct _DirectoryInfo
{
unsigned char
*directory;
size_t
entry;
} DirectoryInfo;
DirectoryInfo
directory_stack[MaxDirectoryStack];
EndianType
endian;
size_t
entry,
length,
number_entries;
SplayTreeInfo
*exif_resources;
ssize_t
id,
level,
offset;
static int
format_bytes[] = {0, 1, 1, 2, 4, 8, 1, 1, 2, 4, 8, 4, 8};
unsigned char
*directory,
*exif;
/*
Set EXIF resolution tag.
*/
length=GetStringInfoLength(profile);
exif=GetStringInfoDatum(profile);
if (length < 16)
return(MagickFalse);
id=(ssize_t) ReadProfileShort(LSBEndian,exif);
if ((id != 0x4949) && (id != 0x4D4D))
{
while (length != 0)
{
if (ReadProfileByte(&exif,&length) != 0x45)
continue;
if (ReadProfileByte(&exif,&length) != 0x78)
continue;
if (ReadProfileByte(&exif,&length) != 0x69)
continue;
if (ReadProfileByte(&exif,&length) != 0x66)
continue;
if (ReadProfileByte(&exif,&length) != 0x00)
continue;
if (ReadProfileByte(&exif,&length) != 0x00)
continue;
break;
}
if (length < 16)
return(MagickFalse);
id=(ssize_t) ReadProfileShort(LSBEndian,exif);
}
endian=LSBEndian;
if (id == 0x4949)
endian=LSBEndian;
else
if (id == 0x4D4D)
endian=MSBEndian;
else
return(MagickFalse);
if (ReadProfileShort(endian,exif+2) != 0x002a)
return(MagickFalse);
/*
This the offset to the first IFD.
*/
offset=(ssize_t) ReadProfileLong(endian,exif+4);
if ((offset < 0) || ((size_t) offset >= length))
return(MagickFalse);
directory=exif+offset;
level=0;
entry=0;
exif_resources=NewSplayTree((int (*)(const void *,const void *)) NULL,
(void *(*)(void *)) NULL,(void *(*)(void *)) NULL);
do
{
if (level > 0)
{
level--;
directory=directory_stack[level].directory;
entry=directory_stack[level].entry;
}
if ((directory < exif) || (directory > (exif+length-2)))
break;
/*
Determine how many entries there are in the current IFD.
*/
number_entries=ReadProfileShort(endian,directory);
for ( ; entry < number_entries; entry++)
{
int
components;
register unsigned char
*p,
*q;
size_t
number_bytes;
ssize_t
format,
tag_value;
q=(unsigned char *) (directory+2+(12*entry));
if (q > (exif+length-12))
break; /* corrupt EXIF */
if (GetValueFromSplayTree(exif_resources,q) == q)
break;
(void) AddValueToSplayTree(exif_resources,q,q);
tag_value=(ssize_t) ReadProfileShort(endian,q);
format=(ssize_t) ReadProfileShort(endian,q+2);
if ((format < 0) || ((format-1) >= EXIF_NUM_FORMATS))
break;
components=(int) ReadProfileLong(endian,q+4);
if (components < 0)
break; /* corrupt EXIF */
number_bytes=(size_t) components*format_bytes[format];
if ((ssize_t) number_bytes < components)
break; /* prevent overflow */
if (number_bytes <= 4)
p=q+8;
else
{
/*
The directory entry contains an offset.
*/
offset=(ssize_t) ReadProfileLong(endian,q+8);
if ((offset < 0) || ((size_t) (offset+number_bytes) > length))
continue;
if (~length < number_bytes)
continue; /* prevent overflow */
p=(unsigned char *) (exif+offset);
}
switch (tag_value)
{
case 0x011a:
{
(void) WriteProfileLong(endian,(size_t) (image->x_resolution+0.5),p);
if (number_bytes == 8)
(void) WriteProfileLong(endian,1UL,p+4);
break;
}
case 0x011b:
{
(void) WriteProfileLong(endian,(size_t) (image->y_resolution+0.5),p);
if (number_bytes == 8)
(void) WriteProfileLong(endian,1UL,p+4);
break;
}
case 0x0112:
{
if (number_bytes == 4)
{
(void) WriteProfileLong(endian,(size_t) image->orientation,p);
break;
}
(void) WriteProfileShort(endian,(unsigned short) image->orientation,
p);
break;
}
case 0x0128:
{
if (number_bytes == 4)
{
(void) WriteProfileLong(endian,(size_t) (image->units+1),p);
break;
}
(void) WriteProfileShort(endian,(unsigned short) (image->units+1),p);
break;
}
default:
break;
}
if ((tag_value == TAG_EXIF_OFFSET) || (tag_value == TAG_INTEROP_OFFSET))
{
offset=(ssize_t) ReadProfileLong(endian,p);
if (((size_t) offset < length) && (level < (MaxDirectoryStack-2)))
{
directory_stack[level].directory=directory;
entry++;
directory_stack[level].entry=entry;
level++;
directory_stack[level].directory=exif+offset;
directory_stack[level].entry=0;
level++;
if ((directory+2+(12*number_entries)) > (exif+length))
break;
offset=(ssize_t) ReadProfileLong(endian,directory+2+(12*
number_entries));
if ((offset != 0) && ((size_t) offset < length) &&
(level < (MaxDirectoryStack-2)))
{
directory_stack[level].directory=exif+offset;
directory_stack[level].entry=0;
level++;
}
}
break;
}
}
} while (level > 0);
exif_resources=DestroySplayTree(exif_resources);
return(MagickTrue);
}
MagickExport MagickBooleanType SyncImageProfiles(Image *image)
{
MagickBooleanType
status;
StringInfo
*profile;
status=MagickTrue;
profile=(StringInfo *) GetImageProfile(image,"8BIM");
if (profile != (StringInfo *) NULL)
if (Sync8BimProfile(image,profile) == MagickFalse)
status=MagickFalse;
profile=(StringInfo *) GetImageProfile(image,"EXIF");
if (profile != (StringInfo *) NULL)
if (SyncExifProfile(image,profile) == MagickFalse)
status=MagickFalse;
return(status);
}
|
GB_unaryop__lnot_uint8_int16.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__lnot_uint8_int16
// op(A') function: GB_tran__lnot_uint8_int16
// C type: uint8_t
// A type: int16_t
// cast: uint8_t cij = (uint8_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
int16_t
#define GB_CTYPE \
uint8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// casting
#define GB_CASTING(z, aij) \
uint8_t z = (uint8_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LNOT || GxB_NO_UINT8 || GxB_NO_INT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_uint8_int16
(
uint8_t *Cx, // Cx and Ax may be aliased
int16_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__lnot_uint8_int16
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
gemm.c | #include "gemm.h"
#include "utils.h"
#include "im2col.h"
#include "cuda.h"
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <float.h>
#include <string.h>
#include <stdint.h>
#ifdef _WIN32
#include <intrin.h>
#endif
#if defined(_OPENMP)
#include <omp.h>
#endif
#define TILE_M 4 // 4 ops
#define TILE_N 16 // AVX2 = 2 ops * 8 floats
#define TILE_K 16 // loop
#ifdef __cplusplus
#define PUT_IN_REGISTER
#else
#define PUT_IN_REGISTER register
#endif
void gemm_bin(int M, int N, int K, float ALPHA,
char *A, int lda,
float *B, int ldb,
float *C, int ldc)
{
int i,j,k;
for(i = 0; i < M; ++i){
for(k = 0; k < K; ++k){
char A_PART = A[i*lda+k];
if(A_PART){
for(j = 0; j < N; ++j){
C[i*ldc+j] += B[k*ldb+j];
}
} else {
for(j = 0; j < N; ++j){
C[i*ldc+j] -= B[k*ldb+j];
}
}
}
}
}
float *random_matrix(int rows, int cols)
{
int i;
float* m = (float*)calloc(rows * cols, sizeof(float));
for(i = 0; i < rows*cols; ++i){
m[i] = (float)rand()/RAND_MAX;
}
return m;
}
void time_random_matrix(int TA, int TB, int m, int k, int n)
{
float *a;
if(!TA) a = random_matrix(m,k);
else a = random_matrix(k,m);
int lda = (!TA)?k:m;
float *b;
if(!TB) b = random_matrix(k,n);
else b = random_matrix(n,k);
int ldb = (!TB)?n:k;
float *c = random_matrix(m,n);
int i;
clock_t start = clock(), end;
for(i = 0; i<10; ++i){
gemm_cpu(TA,TB,m,n,k,1,a,lda,b,ldb,1,c,n);
}
end = clock();
printf("Matrix Multiplication %dx%d * %dx%d, TA=%d, TB=%d: %lf ms\n",m,k,k,n, TA, TB, (float)(end-start)/CLOCKS_PER_SEC);
free(a);
free(b);
free(c);
}
void gemm(int TA, int TB, int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float BETA,
float *C, int ldc)
{
gemm_cpu( TA, TB, M, N, K, ALPHA,A,lda, B, ldb,BETA,C,ldc);
}
//--------------------------------------------
// XNOR bitwise GEMM for binary neural network
//--------------------------------------------
static inline unsigned char xnor(unsigned char a, unsigned char b) {
//return a == b;
return !(a^b);
}
// INT-32
static inline uint32_t get_bit_int32(uint32_t const*const src, size_t index) {
size_t src_i = index / 32;
int src_shift = index % 32;
unsigned char val = (src[src_i] & (1 << src_shift)) > 0;
return val;
}
static inline uint32_t xnor_int32(uint32_t a, uint32_t b) {
return ~(a^b);
}
static inline uint64_t xnor_int64(uint64_t a, uint64_t b) {
return ~(a^b);
}
static inline uint32_t fill_bit_int32(char src) {
if (src == 0) return 0x00000000;
else return 0xFFFFFFFF;
}
static inline uint64_t fill_bit_int64(char src) {
if (src == 0) return 0x0000000000000000;
else return 0xFFFFFFFFFFFFFFFF;
}
void binary_int32_printf(uint32_t src) {
int i;
for (i = 0; i < 32; ++i) {
if (src & 1) printf("1");
else printf("0");
src = src >> 1;
}
printf("\n");
}
void binary_int64_printf(uint64_t src) {
int i;
for (i = 0; i < 64; ++i) {
if (src & 1) printf("1");
else printf("0");
src = src >> 1;
}
printf("\n");
}
/*
void gemm_nn_custom_bin_mean(int M, int N, int K, float ALPHA_UNUSED,
unsigned char *A, int lda,
unsigned char *B, int ldb,
float *C, int ldc, float *mean_arr)
{
int *count_arr = calloc(M*N, sizeof(int));
int i, j, k;
for (i = 0; i < M; ++i) { // l.n - filters [16 - 55 - 1024]
for (k = 0; k < K; ++k) { // l.size*l.size*l.c - one filter size [27 - 9216]
char a_bit = get_bit(A, i*lda + k);
for (j = 0; j < N; ++j) { // out_h*out_w - one channel output size [169 - 173056]
char b_bit = get_bit(B, k*ldb + j);
count_arr[i*ldc + j] += xnor(a_bit, b_bit);
}
}
}
for (i = 0; i < M; ++i) {
float mean_val = mean_arr[i];
for (j = 0; j < N; ++j) {
C[i*ldc + j] = (2 * count_arr[i*ldc + j] - K) * mean_val;
}
}
free(count_arr);
}
*/
/*
void gemm_nn_custom_bin_mean_transposed(int M, int N, int K, float ALPHA_UNUSED,
unsigned char *A, int lda,
unsigned char *B, int ldb,
float *C, int ldc, float *mean_arr)
{
int *count_arr = calloc(M*N, sizeof(int));
int i, j, k;
for (i = 0; i < M; ++i) { // l.n - filters [16 - 55 - 1024]
for (j = 0; j < N; ++j) { // out_h*out_w - one channel output size [169 - 173056]
for (k = 0; k < K; ++k) { // l.size*l.size*l.c - one filter size [27 - 9216]
char a_bit = get_bit(A, i*lda + k);
char b_bit = get_bit(B, j*ldb + k);
count_arr[i*ldc + j] += xnor(a_bit, b_bit);
}
}
}
for (i = 0; i < M; ++i) {
float mean_val = mean_arr[i];
for (j = 0; j < N; ++j) {
C[i*ldc + j] = (2 * count_arr[i*ldc + j] - K) * mean_val;
}
}
free(count_arr);
}
*/
/*
void gemm_nn_custom_bin_mean(int M, int N, int K, float ALPHA_UNUSED,
unsigned char *A, int lda,
unsigned char *B, int ldb,
float *C, int ldc, float *mean_arr)
{
int *count_arr = calloc(M*N, sizeof(int));
int i;
#pragma omp parallel for
for (i = 0; i < M; ++i) { // l.n - filters [16 - 55 - 1024]
int j, k, h;
for (k = 0; k < K; ++k) { // l.size*l.size*l.c - one filter size [27 - 9216]
const char a_bit = get_bit(A, i*lda + k);
uint64_t a_bit64 = fill_bit_int64(a_bit);
int k_ldb = k*ldb;
for (j = 0; j < N; j += 64) { // out_h*out_w - one channel output size [169 - 173056]
if ((N - j > 64) && (k_ldb % 8 == 0)) {
uint64_t b_bit64 = *((uint64_t *)(B + (k_ldb + j) / 8));
uint64_t c_bit64 = xnor_int64(a_bit64, b_bit64);
//printf("\n %d \n",__builtin_popcountll(c_bit64)); // gcc
printf("\n %d \n", __popcnt64(c_bit64)); // msvs
int h;
for (h = 0; h < 64; ++h)
if ((c_bit64 >> h) & 1) count_arr[i*ldc + j + h] += 1;
//binary_int64_printf(a_bit64);
//binary_int64_printf(b_bit64);
//binary_int64_printf(c_bit64);
}
else {
for (; j < N; ++j) { // out_h*out_w - one channel output size [169 - 173056]
char b_bit = get_bit(B, k_ldb + j);
if (xnor(a_bit, b_bit)) count_arr[i*ldc + j] += 1;
}
}
}
}
}
if (mean_arr) {
//int K_2 = K / 2;
for (i = 0; i < M; ++i) {
float mean_val = mean_arr[i];
//float mean_val2 = 2 * mean_val;
for (j = 0; j < N; ++j) {
C[i*ldc + j] = (2 * count_arr[i*ldc + j] - K) * mean_val;
//C[i*ldc + j] = (count_arr[i*ldc + j] - K_2) *mean_val2;
}
}
}
else {
for (i = 0; i < M; ++i) {
for (j = 0; j < N; ++j) {
C[i*ldc + j] = count_arr[i*ldc + j] - K / 2;
}
}
}
free(count_arr);
//getchar();
}
*/
/*
void gemm_nn_custom_bin_mean_transposed(int M, int N, int K, float ALPHA_UNUSED,
unsigned char *A, int lda,
unsigned char *B, int ldb,
float *C, int ldc, float *mean_arr)
{
int i;
#pragma omp parallel for
for (i = 0; i < M; ++i) { // l.n - filters [16 - 55 - 1024]
int j, k, h;
float mean_val = mean_arr[i];
for (j = 0; j < N; ++j) { // out_h*out_w - one channel output size [169 - 173056]
int count = 0;
for (k = 0; k < K; k += 64) { // l.size*l.size*l.c - one filter size [27 - 9216]
uint64_t a_bit64 = *((uint64_t *)(A + (i*lda + k) / 8));
uint64_t b_bit64 = *((uint64_t *)(B + (j*ldb + k) / 8));
uint64_t c_bit64 = xnor_int64(a_bit64, b_bit64);
#ifdef WIN32
int tmp_count = __popcnt64(c_bit64);
#else
int tmp_count = __builtin_popcountll(c_bit64);
#endif
if (K - k < 64) tmp_count = tmp_count - (64 - (K - k)); // remove extra bits
count += tmp_count;
//binary_int64_printf(c_bit64);
//printf(", count = %d \n\n", tmp_count);
}
C[i*ldc + j] = (2 * count - K) * mean_val;
}
}
}
*/
//----------------------------
// is not used
void transpose_32x32_bits_my(uint32_t *A, uint32_t *B, int lda, int ldb)
{
unsigned x, y, t;
for (y = 0; y < 32; ++y) {
for (x = 0; x < 32; ++x) {
if (A[y * lda] & (1 << x)) B[x * ldb] |= (uint32_t)1 << y;
}
}
}
#ifndef GPU
uint8_t reverse_8_bit(uint8_t a) {
return ((a * 0x0802LU & 0x22110LU) | (a * 0x8020LU & 0x88440LU)) * 0x10101LU >> 16;
}
uint32_t reverse_32_bit(uint32_t a)
{
// unsigned int __rbit(unsigned int val) // for ARM //__asm__("rbit %0, %1\n" : "=r"(output) : "r"(input));
return (reverse_8_bit(a >> 24) << 0) |
(reverse_8_bit(a >> 16) << 8) |
(reverse_8_bit(a >> 8) << 16) |
(reverse_8_bit(a >> 0) << 24);
}
#define swap(a0, a1, j, m) t = (a0 ^ (a1 >>j)) & m; a0 = a0 ^ t; a1 = a1 ^ (t << j);
void transpose32_optimized(uint32_t A[32]) {
int j, k;
unsigned m, t;
//m = 0x0000FFFF;
//for (j = 16; j != 0; j = j >> 1, m = m ^ (m << j)) {
// for (k = 0; k < 32; k = (k + j + 1) & ~j) {
// t = (A[k] ^ (A[k + j] >> j)) & m;
// A[k] = A[k] ^ t;
// A[k + j] = A[k + j] ^ (t << j);
// }
//}
j = 16;
m = 0x0000FFFF;
for (k = 0; k < 32; k = (k + j + 1) & ~j) { swap(A[k], A[k + j], j, m); }
j = 8;
m = 0x00ff00ff;
for (k = 0; k < 32; k = (k + j + 1) & ~j) { swap(A[k], A[k + j], j, m); }
j = 4;
m = 0x0f0f0f0f;
for (k = 0; k < 32; k = (k + j + 1) & ~j) { swap(A[k], A[k + j], j, m); }
j = 2;
m = 0x33333333;
for (k = 0; k < 32; k = (k + j + 1) & ~j) { swap(A[k], A[k + j], j, m); }
j = 1;
m = 0x55555555;
for (k = 0; k < 32; k = (k + j + 1) & ~j) { swap(A[k], A[k + j], j, m); }
// reverse Y
for (j = 0; j < 16; ++j) {
uint32_t tmp = A[j];
A[j] = reverse_32_bit(A[31 - j]);
A[31 - j] = reverse_32_bit(tmp);
}
}
void transpose_32x32_bits_reversed_diagonale(uint32_t *A, uint32_t *B, int m, int n)
{
unsigned A_tmp[32];
int i;
#pragma unroll
for (i = 0; i < 32; ++i) A_tmp[i] = A[i * m];
transpose32_optimized(A_tmp);
#pragma unroll
for (i = 0; i < 32; ++i) B[i*n] = A_tmp[i];
}
void transpose_8x8_bits_my(unsigned char *A, unsigned char *B, int lda, int ldb)
{
unsigned x, y, t;
for (y = 0; y < 8; ++y) {
for (x = 0; x < 8; ++x) {
if (A[y * lda] & (1 << x)) B[x * ldb] |= 1 << y;
}
}
}
unsigned char reverse_byte_1(char a)
{
return ((a & 0x1) << 7) | ((a & 0x2) << 5) |
((a & 0x4) << 3) | ((a & 0x8) << 1) |
((a & 0x10) >> 1) | ((a & 0x20) >> 3) |
((a & 0x40) >> 5) | ((a & 0x80) >> 7);
}
unsigned char reverse_byte(unsigned char a)
{
return ((a * 0x0802LU & 0x22110LU) | (a * 0x8020LU & 0x88440LU)) * 0x10101LU >> 16;
}
static unsigned char lookup[16] = {
0x0, 0x8, 0x4, 0xc, 0x2, 0xa, 0x6, 0xe,
0x1, 0x9, 0x5, 0xd, 0x3, 0xb, 0x7, 0xf, };
unsigned char reverse_byte_3(unsigned char n) {
// Reverse the top and bottom nibble then swap them.
return (lookup[n & 0b1111] << 4) | lookup[n >> 4];
}
void transpose8rS32_reversed_diagonale(unsigned char* A, unsigned char* B, int m, int n)
{
unsigned x, y, t;
x = y = 0;
// Load the array and pack it into x and y.
//x = (A[0] << 24) | (A[m] << 16) | (A[2 * m] << 8) | A[3 * m];
//y = (A[4 * m] << 24) | (A[5 * m] << 16) | (A[6 * m] << 8) | A[7 * m];
t = (x ^ (x >> 7)) & 0x00AA00AA; x = x ^ t ^ (t << 7);
t = (y ^ (y >> 7)) & 0x00AA00AA; y = y ^ t ^ (t << 7);
t = (x ^ (x >> 14)) & 0x0000CCCC; x = x ^ t ^ (t << 14);
t = (y ^ (y >> 14)) & 0x0000CCCC; y = y ^ t ^ (t << 14);
t = (x & 0xF0F0F0F0) | ((y >> 4) & 0x0F0F0F0F);
y = ((x << 4) & 0xF0F0F0F0) | (y & 0x0F0F0F0F);
x = t;
B[7 * n] = reverse_byte(x >> 24); B[6 * n] = reverse_byte(x >> 16); B[5 * n] = reverse_byte(x >> 8); B[4 * n] = reverse_byte(x);
B[3 * n] = reverse_byte(y >> 24); B[2 * n] = reverse_byte(y >> 16); B[1 * n] = reverse_byte(y >> 8); B[0 * n] = reverse_byte(y);
}
/*
// transpose by 8-bit
void transpose_bin(char *A, char *B, const int n, const int m,
const int lda, const int ldb, const int block_size)
{
//printf("\n n = %d, ldb = %d \t\t m = %d, lda = %d \n", n, ldb, m, lda);
int i;
#pragma omp parallel for
for (i = 0; i < n; i += 8) {
int j;
for (j = 0; j < m; j += 8) {
int a_index = i*lda + j;
int b_index = j*ldb + i;
//transpose_8x8_bits_my(&A[a_index/8], &B[b_index/8], lda/8, ldb/8);
transpose8rS32_reversed_diagonale(&A[a_index / 8], &B[b_index / 8], lda / 8, ldb / 8);
}
for (; j < m; ++j) {
if (get_bit(A, i*lda + j)) set_bit(B, j*ldb + i);
}
}
}
*/
#endif
// transpose by 32-bit
void transpose_bin(uint32_t *A, uint32_t *B, const int n, const int m,
const int lda, const int ldb, const int block_size)
{
//printf("\n n = %d (n mod 32 = %d), m = %d (m mod 32 = %d) \n", n, n % 32, m, m % 32);
//printf("\n lda = %d (lda mod 32 = %d), ldb = %d (ldb mod 32 = %d) \n", lda, lda % 32, ldb, ldb % 32);
int i;
#pragma omp parallel for
for (i = 0; i < n; i += 32) {
int j;
for (j = 0; j < m; j += 32) {
int a_index = i*lda + j;
int b_index = j*ldb + i;
transpose_32x32_bits_reversed_diagonale(&A[a_index / 32], &B[b_index / 32], lda / 32, ldb / 32);
//transpose_32x32_bits_my(&A[a_index/32], &B[b_index/32], lda/32, ldb/32);
}
for (; j < m; ++j) {
if (get_bit((const unsigned char* const)A, i * lda + j)) set_bit((unsigned char* const)B, j * ldb + i);
}
}
}
static inline int popcnt_32(uint32_t val32) {
#ifdef WIN32 // Windows MSVS
int tmp_count = __popcnt(val32);
#else // Linux GCC
int tmp_count = __builtin_popcount(val32);
#endif
return tmp_count;
}
//----------------------------
#if (defined(__AVX__) && defined(__x86_64__)) || defined(_WIN64)
#ifdef _WIN64
#include <intrin.h>
#include <ammintrin.h>
#include <immintrin.h>
#include <smmintrin.h>
#if defined(_MSC_VER) && _MSC_VER <= 1900
static inline __int32 _mm256_extract_epi64(__m256i a, const int index) {
return a.m256i_i64[index];
}
static inline __int32 _mm256_extract_epi32(__m256i a, const int index) {
return a.m256i_i32[index];
}
#endif
static inline float _castu32_f32(uint32_t a) {
return *((float *)&a);
}
static inline float _mm256_extract_float32(__m256 a, const int index) {
return a.m256_f32[index];
}
#else // Linux GCC/Clang
#include <x86intrin.h>
#include <ammintrin.h>
#include <immintrin.h>
#include <smmintrin.h>
#include <cpuid.h>
static inline float _castu32_f32(uint32_t a) {
return *((float *)&a);
}
static inline float _mm256_extract_float32(__m256 a, const int index) {
return _castu32_f32(_mm256_extract_epi32(_mm256_castps_si256(a), index));
}
void asm_cpuid(uint32_t* abcd, uint32_t eax)
{
uint32_t ebx = 0, edx = 0, ecx = 0;
// EBX is saved to EDI and later restored
__asm__("movl %%ebx, %%edi;"
"cpuid;"
"xchgl %%ebx, %%edi;"
: "=D"(ebx),
"+a"(eax), "+c"(ecx), "=d"(edx));
abcd[0] = eax;
abcd[1] = ebx;
abcd[2] = ecx;
abcd[3] = edx;
}
#endif
#ifdef _WIN32
// Windows
#define cpuid(info, x) __cpuidex(info, x, 0)
#else
// GCC Intrinsics
void cpuid(int info[4], int InfoType) {
__cpuid_count(InfoType, 0, info[0], info[1], info[2], info[3]);
}
#endif
// Misc.
static int HW_MMX, HW_x64, HW_RDRAND, HW_BMI1, HW_BMI2, HW_ADX, HW_PREFETCHWT1;
static int HW_ABM; // Advanced Bit Manipulation
// SIMD: 128-bit
static int HW_SSE, HW_SSE2, HW_SSE3, HW_SSSE3, HW_SSE41, HW_SSE42, HW_SSE4a, HW_AES, HW_SHA;
// SIMD: 256-bit
static int HW_AVX, HW_XOP, HW_FMA3, HW_FMA4, HW_AVX2;
// SIMD: 512-bit
static int HW_AVX512F; // AVX512 Foundation
static int HW_AVX512CD; // AVX512 Conflict Detection
static int HW_AVX512PF; // AVX512 Prefetch
static int HW_AVX512ER; // AVX512 Exponential + Reciprocal
static int HW_AVX512VL; // AVX512 Vector Length Extensions
static int HW_AVX512BW; // AVX512 Byte + Word
static int HW_AVX512DQ; // AVX512 Doubleword + Quadword
static int HW_AVX512IFMA; // AVX512 Integer 52-bit Fused Multiply-Add
static int HW_AVX512VBMI; // AVX512 Vector Byte Manipulation Instructions
// https://stackoverflow.com/questions/6121792/how-to-check-if-a-cpu-supports-the-sse3-instruction-set
void check_cpu_features(void) {
int info[4];
cpuid(info, 0);
int nIds = info[0];
cpuid(info, 0x80000000);
unsigned nExIds = info[0];
// Detect Features
if (nIds >= 0x00000001) {
cpuid(info, 0x00000001);
HW_MMX = (info[3] & ((int)1 << 23)) != 0;
HW_SSE = (info[3] & ((int)1 << 25)) != 0;
HW_SSE2 = (info[3] & ((int)1 << 26)) != 0;
HW_SSE3 = (info[2] & ((int)1 << 0)) != 0;
HW_SSSE3 = (info[2] & ((int)1 << 9)) != 0;
HW_SSE41 = (info[2] & ((int)1 << 19)) != 0;
HW_SSE42 = (info[2] & ((int)1 << 20)) != 0;
HW_AES = (info[2] & ((int)1 << 25)) != 0;
HW_AVX = (info[2] & ((int)1 << 28)) != 0;
HW_FMA3 = (info[2] & ((int)1 << 12)) != 0;
HW_RDRAND = (info[2] & ((int)1 << 30)) != 0;
}
if (nIds >= 0x00000007) {
cpuid(info, 0x00000007);
HW_AVX2 = (info[1] & ((int)1 << 5)) != 0;
HW_BMI1 = (info[1] & ((int)1 << 3)) != 0;
HW_BMI2 = (info[1] & ((int)1 << 8)) != 0;
HW_ADX = (info[1] & ((int)1 << 19)) != 0;
HW_SHA = (info[1] & ((int)1 << 29)) != 0;
HW_PREFETCHWT1 = (info[2] & ((int)1 << 0)) != 0;
HW_AVX512F = (info[1] & ((int)1 << 16)) != 0;
HW_AVX512CD = (info[1] & ((int)1 << 28)) != 0;
HW_AVX512PF = (info[1] & ((int)1 << 26)) != 0;
HW_AVX512ER = (info[1] & ((int)1 << 27)) != 0;
HW_AVX512VL = (info[1] & ((int)1 << 31)) != 0;
HW_AVX512BW = (info[1] & ((int)1 << 30)) != 0;
HW_AVX512DQ = (info[1] & ((int)1 << 17)) != 0;
HW_AVX512IFMA = (info[1] & ((int)1 << 21)) != 0;
HW_AVX512VBMI = (info[2] & ((int)1 << 1)) != 0;
}
if (nExIds >= 0x80000001) {
cpuid(info, 0x80000001);
HW_x64 = (info[3] & ((int)1 << 29)) != 0;
HW_ABM = (info[2] & ((int)1 << 5)) != 0;
HW_SSE4a = (info[2] & ((int)1 << 6)) != 0;
HW_FMA4 = (info[2] & ((int)1 << 16)) != 0;
HW_XOP = (info[2] & ((int)1 << 11)) != 0;
}
}
int is_avx() {
static int result = -1;
if (result == -1) {
check_cpu_features();
result = HW_AVX;
if (result == 1) printf(" Used AVX \n");
else printf(" Not used AVX \n");
}
return result;
}
int is_fma_avx2() {
static int result = -1;
if (result == -1) {
check_cpu_features();
result = HW_FMA3 && HW_AVX2;
if (result == 1) printf(" Used FMA & AVX2 \n");
else printf(" Not used FMA & AVX2 \n");
}
return result;
}
// https://software.intel.com/sites/landingpage/IntrinsicsGuide
void gemm_nn(int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float *C, int ldc)
{
int i, j, k;
if (is_avx() == 1) { // AVX
for (i = 0; i < M; ++i) {
for (k = 0; k < K; ++k) {
float A_PART = ALPHA*A[i*lda + k];
__m256 a256, b256, c256, result256; // AVX
a256 = _mm256_set1_ps(A_PART);
for (j = 0; j < N - 8; j += 8) {
b256 = _mm256_loadu_ps(&B[k*ldb + j]);
c256 = _mm256_loadu_ps(&C[i*ldc + j]);
// FMA - Intel Haswell (2013), AMD Piledriver (2012)
//result256 = _mm256_fmadd_ps(a256, b256, c256);
result256 = _mm256_mul_ps(a256, b256);
result256 = _mm256_add_ps(result256, c256);
_mm256_storeu_ps(&C[i*ldc + j], result256);
}
int prev_end = (N % 8 == 0) ? (N - 8) : (N / 8) * 8;
for (j = prev_end; j < N; ++j)
C[i*ldc + j] += A_PART*B[k*ldb + j];
}
}
}
else {
for (i = 0; i < M; ++i) {
for (k = 0; k < K; ++k) {
PUT_IN_REGISTER float A_PART = ALPHA * A[i * lda + k];
for (j = 0; j < N; ++j) {
C[i*ldc + j] += A_PART*B[k*ldb + j];
}
/* // SSE
__m128 a128, b128, c128, result128; // SSE
a128 = _mm_set1_ps(A_PART);
for (j = 0; j < N - 4; j += 4) {
b128 = _mm_loadu_ps(&B[k*ldb + j]);
c128 = _mm_loadu_ps(&C[i*ldc + j]);
//result128 = _mm_fmadd_ps(a128, b128, c128);
result128 = _mm_mul_ps(a128, b128);
result128 = _mm_add_ps(result128, c128);
_mm_storeu_ps(&C[i*ldc + j], result128);
}
int prev_end = (N % 4 == 0) ? (N - 4) : (N / 4) * 4;
for (j = prev_end; j < N; ++j){
C[i*ldc + j] += A_PART*B[k*ldb + j];
}
*/
}
}
}
}
void gemm_nn_fast(int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float *C, int ldc)
{
int i;
#pragma omp parallel for
for (i = 0; i < (M / TILE_M)*TILE_M; i += TILE_M)
{
int j, k;
int i_d, j_d, k_d;
for (k = 0; k < (K / TILE_K)*TILE_K; k += TILE_K)
{
for (j = 0; j < (N / TILE_N)*TILE_N; j += TILE_N)
{
// L1 - 6 bits tag [11:6] - cache size 32 KB, conflict for each 4 KB
// L2 - 9 bits tag [14:6] - cache size 256 KB, conflict for each 32 KB
// L3 - 13 bits tag [18:6] - cache size 8 MB, conflict for each 512 KB
__m256 result256;
__m256 a256_0, b256_0; // AVX
__m256 a256_1, b256_1; // AVX
__m256 a256_2, b256_2; // AVX
__m256 a256_3, b256_3; // AVX
__m256 c256_0, c256_1, c256_2, c256_3;
__m256 c256_4, c256_5, c256_6, c256_7;
c256_0 = _mm256_loadu_ps(&C[(0 + i)*ldc + (0 + j)]);
c256_1 = _mm256_loadu_ps(&C[(1 + i)*ldc + (0 + j)]);
c256_2 = _mm256_loadu_ps(&C[(0 + i)*ldc + (8 + j)]);
c256_3 = _mm256_loadu_ps(&C[(1 + i)*ldc + (8 + j)]);
c256_4 = _mm256_loadu_ps(&C[(2 + i)*ldc + (0 + j)]);
c256_5 = _mm256_loadu_ps(&C[(3 + i)*ldc + (0 + j)]);
c256_6 = _mm256_loadu_ps(&C[(2 + i)*ldc + (8 + j)]);
c256_7 = _mm256_loadu_ps(&C[(3 + i)*ldc + (8 + j)]);
for (k_d = 0; k_d < (TILE_K); ++k_d)
{
a256_0 = _mm256_set1_ps(ALPHA*A[(0 + i)*lda + (k_d + k)]);
a256_1 = _mm256_set1_ps(ALPHA*A[(1 + i)*lda + (k_d + k)]);
a256_2 = _mm256_set1_ps(ALPHA*A[(2 + i)*lda + (k_d + k)]);
a256_3 = _mm256_set1_ps(ALPHA*A[(3 + i)*lda + (k_d + k)]);
b256_0 = _mm256_loadu_ps(&B[(k_d + k)*ldb + (0 + j)]);
b256_1 = _mm256_loadu_ps(&B[(k_d + k)*ldb + (8 + j)]);
// FMA - Intel Haswell (2013), AMD Piledriver (2012)
//c256_0 = _mm256_fmadd_ps(a256_0, b256_0, c256_0);
//c256_1 = _mm256_fmadd_ps(a256_1, b256_0, c256_1);
//c256_2 = _mm256_fmadd_ps(a256_0, b256_1, c256_2);
//c256_3 = _mm256_fmadd_ps(a256_1, b256_1, c256_3);
//c256_4 = _mm256_fmadd_ps(a256_2, b256_0, c256_4);
//c256_5 = _mm256_fmadd_ps(a256_3, b256_0, c256_5);
//c256_6 = _mm256_fmadd_ps(a256_2, b256_1, c256_6);
//c256_7 = _mm256_fmadd_ps(a256_3, b256_1, c256_7);
result256 = _mm256_mul_ps(a256_0, b256_0);
c256_0 = _mm256_add_ps(result256, c256_0);
result256 = _mm256_mul_ps(a256_1, b256_0);
c256_1 = _mm256_add_ps(result256, c256_1);
result256 = _mm256_mul_ps(a256_0, b256_1);
c256_2 = _mm256_add_ps(result256, c256_2);
result256 = _mm256_mul_ps(a256_1, b256_1);
c256_3 = _mm256_add_ps(result256, c256_3);
result256 = _mm256_mul_ps(a256_2, b256_0);
c256_4 = _mm256_add_ps(result256, c256_4);
result256 = _mm256_mul_ps(a256_3, b256_0);
c256_5 = _mm256_add_ps(result256, c256_5);
result256 = _mm256_mul_ps(a256_2, b256_1);
c256_6 = _mm256_add_ps(result256, c256_6);
result256 = _mm256_mul_ps(a256_3, b256_1);
c256_7 = _mm256_add_ps(result256, c256_7);
}
_mm256_storeu_ps(&C[(0 + i)*ldc + (0 + j)], c256_0);
_mm256_storeu_ps(&C[(1 + i)*ldc + (0 + j)], c256_1);
_mm256_storeu_ps(&C[(0 + i)*ldc + (8 + j)], c256_2);
_mm256_storeu_ps(&C[(1 + i)*ldc + (8 + j)], c256_3);
_mm256_storeu_ps(&C[(2 + i)*ldc + (0 + j)], c256_4);
_mm256_storeu_ps(&C[(3 + i)*ldc + (0 + j)], c256_5);
_mm256_storeu_ps(&C[(2 + i)*ldc + (8 + j)], c256_6);
_mm256_storeu_ps(&C[(3 + i)*ldc + (8 + j)], c256_7);
}
for (j = (N / TILE_N)*TILE_N; j < N; ++j) {
for (i_d = i; i_d < (i + TILE_M); ++i_d)
{
for (k_d = k; k_d < (k + TILE_K); ++k_d)
{
PUT_IN_REGISTER float A_PART = ALPHA*A[i_d*lda + k_d];
C[i_d*ldc + j] += A_PART*B[k_d*ldb + j];
}
}
}
}
for (k = (K / TILE_K)*TILE_K; k < K; ++k)
{
for (i_d = i; i_d < (i + TILE_M); ++i_d)
{
PUT_IN_REGISTER float A_PART = ALPHA*A[i_d*lda + k];
for (j = 0; j < N; ++j) {
C[i_d*ldc + j] += A_PART*B[k*ldb + j];
}
}
}
}
for (i = (M / TILE_M)*TILE_M; i < M; ++i) {
int j, k;
for (k = 0; k < K; ++k) {
PUT_IN_REGISTER float A_PART = ALPHA*A[i*lda + k];
for (j = 0; j < N; ++j) {
C[i*ldc + j] += A_PART*B[k*ldb + j];
}
}
}
}
void gemm_nn_bin_32bit_packed(int M, int N, int K, float ALPHA,
uint32_t *A, int lda,
uint32_t *B, int ldb,
float *C, int ldc, float *mean_arr)
{
int i;
#pragma omp parallel for
for (i = 0; i < M; ++i) { // l.n
int j, s;
float mean_val = mean_arr[i];
//printf(" l.mean_arr[i] = %d \n ", l.mean_arr[i]);
for (s = 0; s < K; ++s) // l.size*l.size*l.c/32 or (l.size*l.size*l.c)
{
PUT_IN_REGISTER uint32_t A_PART = A[i*lda + s];
__m256i a256 = _mm256_set1_epi32(A_PART);
for (j = 0; j < N - 8; j += 8)
{
__m256i b256 = *((__m256i*)&B[s*ldb + j]);
__m256i xor256 = _mm256_xor_si256(a256, b256); // xnor = xor(a,b)
__m256i all_1 = _mm256_set1_epi8(255);
__m256i xnor256 = _mm256_andnot_si256(xor256, all_1); // xnor = not(xor(a,b))
// waiting for - CPUID Flags: AVX512VPOPCNTDQ: __m512i _mm512_popcnt_epi32(__m512i a)
__m256 count = _mm256_setr_ps(
popcnt_32(_mm256_extract_epi32(xnor256, 0)),
popcnt_32(_mm256_extract_epi32(xnor256, 1)),
popcnt_32(_mm256_extract_epi32(xnor256, 2)),
popcnt_32(_mm256_extract_epi32(xnor256, 3)),
popcnt_32(_mm256_extract_epi32(xnor256, 4)),
popcnt_32(_mm256_extract_epi32(xnor256, 5)),
popcnt_32(_mm256_extract_epi32(xnor256, 6)),
popcnt_32(_mm256_extract_epi32(xnor256, 7)));
__m256 val2 = _mm256_set1_ps(2);
count = _mm256_mul_ps(count, val2); // count * 2
__m256 val32 = _mm256_set1_ps(32);
count = _mm256_sub_ps(count, val32); // count - 32
__m256 mean256 = _mm256_set1_ps(mean_val);
count = _mm256_mul_ps(count, mean256); // count * mean_val
__m256 c256 = *((__m256*)&C[i*ldc + j]);
count = _mm256_add_ps(count, c256); // c = c + count
*((__m256*)&C[i*ldc + j]) = count;
}
for (; j < N; ++j) // out_h*out_w;
{
PUT_IN_REGISTER uint32_t B_PART = B[s*ldb + j];
uint32_t xnor_result = ~(A_PART ^ B_PART);
int32_t count = popcnt_32(xnor_result); // must be Signed int
C[i*ldc + j] += (2 * count - 32) * mean_val;
}
}
}
}
void convolution_2d_old(int w, int h, int ksize, int n, int c, int pad, int stride,
float *weights, float *input, float *output)
{
const int out_h = (h + 2 * pad - ksize) / stride + 1; // output_height=input_height for stride=1 and pad=1
const int out_w = (w + 2 * pad - ksize) / stride + 1; // output_width=input_width for stride=1 and pad=1
int fil;
// filter index
#pragma omp parallel for // "omp parallel for" - automatic parallelization of loop by using OpenMP
for (fil = 0; fil < n; ++fil) {
//int i, f, j;
int chan, y, x, f_y, f_x;
// channel index
for (chan = 0; chan < c; ++chan)
// input - y
for (y = 0; y < h; ++y)
// input - x
for (x = 0; x < w; ++x)
{
int const output_index = fil*w*h + y*w + x;
int const weights_pre_index = fil*c*ksize*ksize + chan*ksize*ksize;
int const input_pre_index = chan*w*h;
float sum = 0;
// filter - y
for (f_y = 0; f_y < ksize; ++f_y)
{
int input_y = y + f_y - pad;
// filter - x
for (f_x = 0; f_x < ksize; ++f_x)
{
int input_x = x + f_x - pad;
if (input_y < 0 || input_x < 0 || input_y >= h || input_x >= w) continue;
int input_index = input_pre_index + input_y*w + input_x;
int weights_index = weights_pre_index + f_y*ksize + f_x;
sum += input[input_index] * weights[weights_index];
}
}
// l.output[filters][width][height] +=
// state.input[channels][width][height] *
// l.weights[filters][channels][filter_width][filter_height];
output[output_index] += sum;
}
}
}
void convolution_2d(int w, int h, int ksize, int n, int c, int pad, int stride,
float *weights, float *input, float *output, float *mean)
{
const int out_h = (h + 2 * pad - ksize) / stride + 1; // output_height=input_height for stride=1 and pad=1
const int out_w = (w + 2 * pad - ksize) / stride + 1; // output_width=input_width for stride=1 and pad=1
int i;
#if defined(_OPENMP)
static int max_num_threads = 0;
if (max_num_threads == 0) {
max_num_threads = omp_get_max_threads();
//omp_set_num_threads( max_num_threads / 2);
}
#endif
//convolution_2d_old(w, h, ksize, n, c, pad, stride, weights, input, output);
__m256i all256_sing1 = _mm256_set_epi32(0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000);
for (i = 0; i < ksize*ksize*n*c; i+=8) {
*((__m256*)&weights[i]) = _mm256_and_ps(*((__m256*)&weights[i]), _mm256_castsi256_ps(all256_sing1));
}
//for (i = 0; i < w*h*c; i += 8) {
//*((__m256*)&input[i]) = _mm256_and_ps(*((__m256*)&input[i]), _mm256_castsi256_ps(all256_sing1));
//}
//__m256i all256_last_zero = _mm256_set1_epi32(0xFFFFFFFF);
//all256_last_zero.m256i_i32[7] = 0;
__m256i all256_last_zero =
_mm256_set_epi32(0xFFFFFFFF, 0xFFFFFFFF, 0xFFFFFFFF, 0xFFFFFFFF, 0xFFFFFFFF, 0xFFFFFFFF, 0xFFFFFFFF, 0x0);
__m256i idx256 = _mm256_set_epi32(0, 7, 6, 5, 4, 3, 2, 1);
//__m256 all256_sing1 = _mm256_set1_ps(0x80000000);
__m256 all256_one = _mm256_set1_ps(1);
__m256i all256i_one = _mm256_set1_epi32(1);
///__m256i src256 = _mm256_loadu_si256((__m256i *)(&src[i]));
///__m256i result256 = _mm256_and_si256(src256, all256_sing1); // check sign in 8 x 32-bit floats
int fil;
// filter index
#pragma omp parallel for // "omp parallel for" - automatic parallelization of loop by using OpenMP
for (fil = 0; fil < n; ++fil) {
int chan, y, x, f_y, f_x;
float cur_mean = fabs(mean[fil]);
__m256 mean256 = _mm256_set1_ps(cur_mean);
// channel index
//for (chan = 0; chan < c; ++chan)
// input - y
for (y = 0; y < h; ++y)
// input - x
for (x = 0; x < w-8; x+=8)
{
int const output_index = fil*w*h + y*w + x;
float sum = 0;
__m256 sum256 = _mm256_set1_ps(0);
for (chan = 0; chan < c; ++chan) {
int const weights_pre_index = fil*c*ksize*ksize + chan*ksize*ksize;
int const input_pre_index = chan*w*h;
// filter - y
for (f_y = 0; f_y < ksize; ++f_y)
{
int input_y = y + f_y - pad;
//__m256 in = *((__m256*)&input[input_pre_index + input_y*w]);
if (input_y < 0 || input_y >= h) continue;
//__m256 in = _mm256_loadu_ps(&input[input_pre_index + input_y*w + x - pad]);
// filter - x
for (f_x = 0; f_x < ksize; ++f_x)
{
int input_x = x + f_x - pad;
//if (input_y < 0 || input_x < 0 || input_y >= h || input_x >= w) continue;
int input_index = input_pre_index + input_y*w + input_x;
int weights_index = weights_pre_index + f_y*ksize + f_x;
//if (input_y < 0 || input_y >= h) continue;
//sum += input[input_index] * weights[weights_index];
__m256 in = *((__m256*)&input[input_index]);
__m256 w = _mm256_set1_ps(weights[weights_index]);
//__m256 w_sign = _mm256_and_ps(w, _mm256_castsi256_ps(all256_sing1)); // check sign in 8 x 32-bit floats
__m256 xor256 = _mm256_xor_ps(w, in);
//printf("\n xor256_1 = %f, xor256_2 = %f \n", xor256.m256_f32[0], xor256.m256_f32[1]);
//printf("\n in = %f, w = %f, xor256 = %f \n", in.m256_f32[0], w_sign.m256_f32[0], xor256.m256_f32[0]);
//__m256 pn1 = _mm256_and_ps(_mm256_castsi256_ps(all256i_one), xor256);
//sum256 = xor256;
sum256 = _mm256_add_ps(xor256, sum256);
//printf("\n --- \n");
//printf("\n 0 = %f, 1 = %f, 2 = %f, 3 = %f, 4 = %f, 5 = %f, 6 = %f, 7 = %f \n", in.m256_f32[0], in.m256_f32[1], in.m256_f32[2], in.m256_f32[3], in.m256_f32[4], in.m256_f32[5], in.m256_f32[6], in.m256_f32[7]);
if (f_x < ksize-1) {
//in = _mm256_permutevar8x32_ps(in, idx256);
//in = _mm256_and_ps(in, _mm256_castsi256_ps(all256_last_zero));
}
}
}
}
// l.output[filters][width][height] +=
// state.input[channels][width][height] *
// l.weights[filters][channels][filter_width][filter_height];
//output[output_index] += sum;
sum256 = _mm256_mul_ps(sum256, mean256);
//printf("\n cur_mean = %f, sum256 = %f, sum256 = %f, in = %f \n",
// cur_mean, sum256.m256_f32[0], sum256.m256_f32[1], input[input_pre_index]);
//__m256 out = *((__m256*)&output[output_index]);
//out = _mm256_add_ps(out, sum256);
//*((__m256*)&output[output_index]) = out;
*((__m256*)&output[output_index]) = sum256;
//_mm256_storeu_ps(&C[i*ldc + j], result256);
}
}
}
// http://graphics.stanford.edu/~seander/bithacks.html
// https://stackoverflow.com/questions/17354971/fast-counting-the-number-of-set-bits-in-m128i-register
// https://arxiv.org/pdf/1611.07612.pdf
static inline int popcnt128(__m128i n) {
const __m128i n_hi = _mm_unpackhi_epi64(n, n);
#ifdef _MSC_VER
return __popcnt64(_mm_cvtsi128_si64(n)) + __popcnt64(_mm_cvtsi128_si64(n_hi));
#else
return __popcntq(_mm_cvtsi128_si64(n)) + __popcntq(_mm_cvtsi128_si64(n_hi));
#endif
}
static inline int popcnt256(__m256i n) {
return popcnt128(_mm256_extractf128_si256(n, 0)) + popcnt128(_mm256_extractf128_si256(n, 1));
}
static inline __m256i count256(__m256i v) {
__m256i lookup =
_mm256_setr_epi8(0, 1, 1, 2, 1, 2, 2, 3, 1, 2,
2, 3, 2, 3, 3, 4, 0, 1, 1, 2, 1, 2, 2, 3,
1, 2, 2, 3, 2, 3, 3, 4);
__m256i low_mask = _mm256_set1_epi8(0x0f);
__m256i lo = _mm256_and_si256(v, low_mask);
__m256i hi = _mm256_and_si256(_mm256_srli_epi32(v, 4), low_mask);
__m256i popcnt1 = _mm256_shuffle_epi8(lookup, lo);
__m256i popcnt2 = _mm256_shuffle_epi8(lookup, hi);
__m256i total = _mm256_add_epi8(popcnt1, popcnt2);
return _mm256_sad_epu8(total, _mm256_setzero_si256());
}
static inline int popcnt256_custom(__m256i n) {
__m256i val = count256(n);
//return val.m256i_i64[0] +
//val.m256i_i64[1] +
//val.m256i_i64[2] +
//val.m256i_i64[3];
return _mm256_extract_epi64(val, 0)
+ _mm256_extract_epi64(val, 1)
+ _mm256_extract_epi64(val, 2)
+ _mm256_extract_epi64(val, 3);
}
static inline void xnor_avx2_popcnt(__m256i a_bit256, __m256i b_bit256, __m256i *count_sum) {
__m256i c_bit256 = _mm256_set1_epi8(255);
__m256i xor256 = _mm256_xor_si256(a_bit256, b_bit256); // xnor = not(xor(a,b))
c_bit256 = _mm256_andnot_si256(xor256, c_bit256); // can be optimized - we can do other NOT for wegihts once and do not do this NOT
*count_sum = _mm256_add_epi64(count256(c_bit256), *count_sum); // 1st part - popcnt Mula's algorithm
}
// 2nd part - popcnt Mula's algorithm
static inline int get_count_mula(__m256i count_sum) {
return _mm256_extract_epi64(count_sum, 0)
+ _mm256_extract_epi64(count_sum, 1)
+ _mm256_extract_epi64(count_sum, 2)
+ _mm256_extract_epi64(count_sum, 3);
}
// 5x times faster than gemm()-float32
// further optimizations: do mean-mult only for the last layer
void gemm_nn_custom_bin_mean_transposed(int M, int N, int K, float ALPHA_UNUSED,
unsigned char *A, int lda,
unsigned char *B, int ldb,
float *C, int ldc, float *mean_arr)
{
int i;
#if defined(_OPENMP)
static int max_num_threads = 0;
if (max_num_threads == 0) {
max_num_threads = omp_get_max_threads();
//omp_set_num_threads(max_num_threads / 2);
}
#endif
//#pragma omp parallel for
//for (i = 0; i < M; ++i)
#pragma omp parallel for
for (i = 0; i < (M/2)*2; i += 2)
{ // l.n - filters [16 - 55 - 1024]
float mean_val_0 = mean_arr[i + 0];
float mean_val_1 = mean_arr[i + 1];
int j, k;
__m256i all_1 = _mm256_set1_epi8(255);
//for (j = 0; j < N; ++j)
for (j = 0; j < (N/2)*2; j += 2)
{ // out_h*out_w - one channel output size [169 - 173056]
//int count = 0;
const int bit_step = 256;
__m256i count_sum_0 = _mm256_set1_epi8(0);
__m256i count_sum_1 = _mm256_set1_epi8(0);
__m256i count_sum_2 = _mm256_set1_epi8(0);
__m256i count_sum_3 = _mm256_set1_epi8(0);
for (k = 0; k < K; k += bit_step) { // l.size*l.size*l.c - one filter size [27 - 9216]
__m256i a_bit256_0 = _mm256_loadu_si256((__m256i *)(A + ((i + 0)*lda + k) / 8));
__m256i b_bit256_0 = _mm256_loadu_si256((__m256i *)(B + ((j + 0)*ldb + k) / 8));
__m256i a_bit256_1 = _mm256_loadu_si256((__m256i *)(A + ((i + 1)*lda + k) / 8));
__m256i b_bit256_1 = _mm256_loadu_si256((__m256i *)(B + ((j + 1)*ldb + k) / 8));
xnor_avx2_popcnt(a_bit256_0, b_bit256_0, &count_sum_0);
xnor_avx2_popcnt(a_bit256_0, b_bit256_1, &count_sum_1);
xnor_avx2_popcnt(a_bit256_1, b_bit256_0, &count_sum_2);
xnor_avx2_popcnt(a_bit256_1, b_bit256_1, &count_sum_3);
//count += popcnt256(c_bit256);
//binary_int64_printf(c_bit64);
//printf(", count = %d \n\n", tmp_count);
}
int count_0 = get_count_mula(count_sum_0);
int count_1 = get_count_mula(count_sum_1);
int count_2 = get_count_mula(count_sum_2);
int count_3 = get_count_mula(count_sum_3);
const int f1 = (K % bit_step == 0) ? 0 : (bit_step - (K % bit_step));
count_0 = count_0 - f1; // remove extra bits (from empty space for align only)
count_1 = count_1 - f1;
count_2 = count_2 - f1;
count_3 = count_3 - f1;
C[i*ldc + (j + 0)] = (2 * count_0 - K) * mean_val_0;
C[i*ldc + (j + 1)] = (2 * count_1 - K) * mean_val_0;
C[(i + 1)*ldc + (j + 0)] = (2 * count_2 - K) * mean_val_1;
C[(i + 1)*ldc + (j + 1)] = (2 * count_3 - K) * mean_val_1;
}
int i_d;
for (i_d = 0; i_d < 2; ++i_d)
{
float mean_val = mean_arr[i + i_d];
for (j = (N / 2) * 2; j < N; j += 1)
{ // out_h*out_w - one channel output size [169 - 173056]
const int bit_step = 256;
__m256i count_sum = _mm256_set1_epi8(0);
for (k = 0; k < K; k += bit_step) { // l.size*l.size*l.c - one filter size [27 - 9216]
__m256i a_bit256_0 = _mm256_loadu_si256((__m256i *)(A + ((i + i_d + 0)*lda + k) / 8));
__m256i b_bit256_0 = _mm256_loadu_si256((__m256i *)(B + ((j + 0)*ldb + k) / 8));
xnor_avx2_popcnt(a_bit256_0, b_bit256_0, &count_sum);
}
int count = get_count_mula(count_sum);
const int f1 = (K % bit_step == 0) ? 0 : (bit_step - (K % bit_step));
count = count - f1; // remove extra bits (from empty space for align only)
C[(i + i_d)*ldc + j] = (2 * count - K) * mean_val;
}
}
}
for (i = (M / 2) * 2; i < M; i += 1)
{
float mean_val = mean_arr[i];
int j, k;
for (j = 0; j < N; j += 1)
{ // out_h*out_w - one channel output size [169 - 173056]
const int bit_step = 256;
__m256i count_sum = _mm256_set1_epi8(0);
for (k = 0; k < K; k += bit_step) { // l.size*l.size*l.c - one filter size [27 - 9216]
__m256i a_bit256_0 = _mm256_loadu_si256((__m256i *)(A + ((i + 0)*lda + k) / 8));
__m256i b_bit256_0 = _mm256_loadu_si256((__m256i *)(B + ((j + 0)*ldb + k) / 8));
xnor_avx2_popcnt(a_bit256_0, b_bit256_0, &count_sum);
}
int count = get_count_mula(count_sum);
const int f1 = (K % bit_step == 0) ? 0 : (bit_step - (K % bit_step));
count = count - f1; // remove extra bits (from empty space for align only)
C[i*ldc + j] = (2 * count - K) * mean_val;
}
}
}
//From Berkeley Vision's Caffe!
//https://github.com/BVLC/caffe/blob/master/LICENSE
void im2col_cpu_custom_transpose(float* data_im,
int channels, int height, int width,
int ksize, int stride, int pad, float* data_col, int ldb_align)
{
const int height_col = (height + 2 * pad - ksize) / stride + 1;
const int width_col = (width + 2 * pad - ksize) / stride + 1;
const int channels_col = channels * ksize * ksize;
int c;
// optimized version
if (height_col == height && width_col == width && stride == 1 && pad == 1)
{
#pragma omp parallel for
for (c = 0; c < channels_col; ++c) {
int h, w;
int w_offset = c % ksize;
int h_offset = (c / ksize) % ksize;
int c_im = c / ksize / ksize;
for (h = pad; h < height_col - pad; ++h) {
for (w = pad; w < width_col - pad - 4; w+=8) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = (h * width_col + w)*ldb_align + c; // transposed & aligned
//data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
__m256 src256 = _mm256_loadu_ps((float *)(&data_im[im_col + width*(im_row + height*c_im)]));
data_col[col_index + ldb_align * 0] = _mm256_extract_float32(src256, 0);// src256.m256_f32[0];
data_col[col_index + ldb_align * 1] = _mm256_extract_float32(src256, 1);// src256.m256_f32[1];
data_col[col_index + ldb_align * 2] = _mm256_extract_float32(src256, 2);// src256.m256_f32[2];
data_col[col_index + ldb_align * 3] = _mm256_extract_float32(src256, 3);// src256.m256_f32[3];
data_col[col_index + ldb_align * 4] = _mm256_extract_float32(src256, 4);// src256.m256_f32[4];
data_col[col_index + ldb_align * 5] = _mm256_extract_float32(src256, 5);// src256.m256_f32[5];
data_col[col_index + ldb_align * 6] = _mm256_extract_float32(src256, 6);// src256.m256_f32[6];
data_col[col_index + ldb_align * 7] = _mm256_extract_float32(src256, 7);// src256.m256_f32[7];
//_mm256_storeu_ps(&data_col[col_index], src256);
}
for (; w < width_col - pad; ++w) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
int col_index = (h * width_col + w)*ldb_align + c; // transposed & aligned
data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
}
}
{
w = 0;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (h * width_col + w)*ldb_align + c; // transposed & aligned
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
{
w = width_col - 1;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (h * width_col + w)*ldb_align + c; // transposed & aligned
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
{
h = 0;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (h * width_col + w)*ldb_align + c; // transposed & aligned
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
{
h = height_col - 1;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (h * width_col + w)*ldb_align + c; // transposed & aligned
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
}
}
else {
#pragma omp parallel for
for (c = 0; c < channels_col; ++c) {
int h, w;
int w_offset = c % ksize;
int h_offset = (c / ksize) % ksize;
int c_im = c / ksize / ksize;
for (h = 0; h < height_col; ++h) {
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h * stride;
int im_col = w_offset + w * stride;
int col_index = (h * width_col + w)*ldb_align + c; // transposed & aligned
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
}
}
}
//From Berkeley Vision's Caffe!
//https://github.com/BVLC/caffe/blob/master/LICENSE
void im2col_cpu_custom(float* data_im,
int channels, int height, int width,
int ksize, int stride, int pad, float* data_col)
{
int c;
const int height_col = (height + 2 * pad - ksize) / stride + 1;
const int width_col = (width + 2 * pad - ksize) / stride + 1;
const int channels_col = channels * ksize * ksize;
// optimized version
if (height_col == height && width_col == width && stride == 1 && pad == 1 && is_fma_avx2())
{
#pragma omp parallel for
for (c = 0; c < channels_col; ++c) {
int h, w;
int w_offset = c % ksize;
int h_offset = (c / ksize) % ksize;
int c_im = c / ksize / ksize;
for (h = pad; h < height_col-pad; ++h) {
for (w = pad; w < width_col-pad-8; w += 8) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
int col_index = (c * height_col + h) * width_col + w;
//data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
__m256 src256 = _mm256_loadu_ps((float *)(&data_im[im_col + width*(im_row + height*c_im)]));
_mm256_storeu_ps(&data_col[col_index], src256);
}
for (; w < width_col - pad; ++w) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
}
}
{
w = 0;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
{
w = width_col-1;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
{
h = 0;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
{
h = height_col-1;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
}
}
else {
//printf("\n Error: is no non-optimized version \n");
im2col_cpu(data_im, channels, height, width, ksize, stride, pad, data_col);
}
}
//From Berkeley Vision's Caffe!
//https://github.com/BVLC/caffe/blob/master/LICENSE
void im2col_cpu_custom_align(float* data_im,
int channels, int height, int width,
int ksize, int stride, int pad, float* data_col, int bit_align)
{
int c;
const int height_col = (height + 2 * pad - ksize) / stride + 1;
const int width_col = (width + 2 * pad - ksize) / stride + 1;
const int channels_col = channels * ksize * ksize;
// optimized version
if (height_col == height && width_col == width && stride == 1 && pad == 1 && is_fma_avx2())
{
int new_ldb = bit_align;
#pragma omp parallel for
for (c = 0; c < channels_col; ++c) {
int h, w;
int w_offset = c % ksize;
int h_offset = (c / ksize) % ksize;
int c_im = c / ksize / ksize;
for (h = pad; h < height_col - pad; ++h) {
for (w = pad; w < width_col - pad - 8; w += 8) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
__m256 src256 = _mm256_loadu_ps((float *)(&data_im[im_col + width*(im_row + height*c_im)]));
_mm256_storeu_ps(&data_col[col_index], src256);
}
for (; w < width_col - pad; ++w) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
}
}
{
w = 0;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
}
}
{
w = width_col - 1;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
}
}
{
h = 0;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
}
}
{
h = height_col - 1;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
}
}
}
}
else {
printf("\n Error: is no non-optimized version \n");
//im2col_cpu(data_im, channels, height, width, ksize, stride, pad, data_col); // must be aligned for transpose after float_to_bin
// float_to_bit(b, t_input, src_size);
// transpose_bin(t_input, *t_bit_input, k, n, bit_align, new_ldb, 8);
}
}
//From Berkeley Vision's Caffe!
//https://github.com/BVLC/caffe/blob/master/LICENSE
void im2col_cpu_custom_bin(float* data_im,
int channels, int height, int width,
int ksize, int stride, int pad, float* data_col, int bit_align)
{
int c;
const int height_col = (height + 2 * pad - ksize) / stride + 1;
const int width_col = (width + 2 * pad - ksize) / stride + 1;
const int channels_col = channels * ksize * ksize;
// optimized version
if (height_col == height && width_col == width && stride == 1 && pad == 1 && is_fma_avx2())
{
__m256i all256_sing1 = _mm256_set_epi32(0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000);
__m256 float_zero256 = _mm256_set1_ps(0.00);
int new_ldb = bit_align;
#pragma omp parallel for
for (c = 0; c < channels_col; ++c) {
int h, w;
int w_offset = c % ksize;
int h_offset = (c / ksize) % ksize;
int c_im = c / ksize / ksize;
for (h = pad; h < height_col - pad; ++h) {
for (w = pad; w < width_col - pad - 8; w += 8) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//__m256i src256 = _mm256_loadu_si256((__m256i *)(&data_im[im_col + width*(im_row + height*c_im)]));
//__m256i result256 = _mm256_and_si256(src256, all256_sing1); // check sign in 8 x 32-bit floats
//uint16_t mask = _mm256_movemask_ps(_mm256_castsi256_ps(result256)); // (val >= 0) ? 0 : 1
//mask = ~mask; // inverse mask, (val >= 0) ? 1 : 0
__m256 src256 = _mm256_loadu_ps((float *)(&data_im[im_col + width*(im_row + height*c_im)]));
__m256 result256 = _mm256_cmp_ps(src256, float_zero256, _CMP_GT_OS);
uint16_t mask = _mm256_movemask_ps(result256); // (val > 0) ? 0 : 1
uint16_t* dst_ptr = (uint16_t*)&((uint8_t*)data_col)[col_index / 8];
*dst_ptr |= (mask << (col_index % 8));
}
for (; w < width_col - pad; ++w) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
float val = data_im[im_col + width*(im_row + height*c_im)];
if (val > 0) set_bit((unsigned char* const)data_col, col_index);
}
}
{
w = 0;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
float val = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
if (val > 0) set_bit((unsigned char* const)data_col, col_index);
}
}
{
w = width_col - 1;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
float val = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
if (val > 0) set_bit((unsigned char* const)data_col, col_index);
}
}
{
h = 0;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
float val = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
if (val > 0) set_bit((unsigned char* const)data_col, col_index);
}
}
{
h = height_col - 1;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
float val = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
if (val > 0) set_bit((unsigned char* const)data_col, col_index);
}
}
}
}
else {
printf("\n Error: is no non-optimized version \n");
//im2col_cpu(data_im, channels, height, width, ksize, stride, pad, data_col); // must be aligned for transpose after float_to_bin
// float_to_bit(b, t_input, src_size);
// transpose_bin(t_input, *t_bit_input, k, n, bit_align, new_ldb, 8);
}
}
void activate_array_cpu_custom(float *x, const int n, const ACTIVATION a)
{
int i = 0;
if (a == LINEAR)
{}
else if (a == LEAKY)
{
if (is_fma_avx2()) {
__m256i all256_sing1 = _mm256_set_epi32(0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000);
__m256 all256_01 = _mm256_set1_ps(0.1F);
for (i = 0; i < n - 8; i += 8) {
//x[i] = (x[i]>0) ? x[i] : .1*x[i];
__m256 src256 = _mm256_loadu_ps(&x[i]);
__m256 mult256 = _mm256_mul_ps((src256), all256_01); // mult * 0.1
__m256i sign256 = _mm256_and_si256(_mm256_castps_si256(src256), all256_sing1); // check sign in 8 x 32-bit floats
__m256 result256 = _mm256_blendv_ps(src256, mult256, _mm256_castsi256_ps(sign256)); // (sign>0) ? src : mult;
_mm256_storeu_ps(&x[i], result256);
}
}
for (; i < n; ++i) {
x[i] = (x[i]>0) ? x[i] : .1*x[i];
}
}
else {
for (i = 0; i < n; ++i) {
x[i] = activate(x[i], a);
}
}
}
void float_to_bit(float *src, unsigned char *dst, size_t size)
{
size_t dst_size = size / 8 + 1;
memset(dst, 0, dst_size);
size_t i;
__m256i all256_sing1 = _mm256_set_epi32(0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000, 0x80000000);
__m256 float_zero256 = _mm256_set1_ps(0.0);
for (i = 0; i < size; i+=8)
{
//__m256i src256 = _mm256_loadu_si256((__m256i *)(&src[i]));
//__m256i result256 = _mm256_and_si256(src256, all256_sing1); // check sign in 8 x 32-bit floats
//uint32_t mask = _mm256_movemask_ps(_mm256_castsi256_ps(result256)); // (val >= 0) ? 0 : 1
////mask = ~mask; // inverse mask, (val >= 0) ? 1 : 0
__m256 src256 = _mm256_loadu_ps((float *)(&src[i]));
__m256 result256 = _mm256_cmp_ps(src256, float_zero256, _CMP_GT_OS);
uint32_t mask = _mm256_movemask_ps(result256); // (val > 0) ? 0 : 1
dst[i / 8] = mask;
}
}
static inline void transpose4x4_SSE(float *A, float *B, const int lda, const int ldb)
{
__m128 row1 = _mm_loadu_ps(&A[0 * lda]);
__m128 row2 = _mm_loadu_ps(&A[1 * lda]);
__m128 row3 = _mm_loadu_ps(&A[2 * lda]);
__m128 row4 = _mm_loadu_ps(&A[3 * lda]);
_MM_TRANSPOSE4_PS(row1, row2, row3, row4);
_mm_storeu_ps(&B[0 * ldb], row1);
_mm_storeu_ps(&B[1 * ldb], row2);
_mm_storeu_ps(&B[2 * ldb], row3);
_mm_storeu_ps(&B[3 * ldb], row4);
}
void transpose_block_SSE4x4(float *A, float *B, const int n, const int m,
const int lda, const int ldb, const int block_size)
{
int i;
#pragma omp parallel for
for (i = 0; i < n; i += block_size) {
int j, i2, j2;
//int max_i2 = (i + block_size < n) ? (i + block_size) : n;
if (i + block_size < n) {
int max_i2 = i + block_size;
for (j = 0; j < m; j += block_size) {
//int max_j2 = (j + block_size < m) ? (j + block_size) : m;
if (j + block_size < m) {
int max_j2 = j + block_size;
for (i2 = i; i2 < max_i2; i2 += 4) {
for (j2 = j; j2 < max_j2; j2 += 4) {
transpose4x4_SSE(&A[i2*lda + j2], &B[j2*ldb + i2], lda, ldb);
}
}
}
else {
for (i2 = i; i2 < max_i2; ++i2) {
for (j2 = j; j2 < m; ++j2) {
B[j2*ldb + i2] = A[i2*lda + j2];
}
}
}
}
}
else {
for (i2 = i; i2 < n; ++i2) {
for (j2 = 0; j2 < m; ++j2) {
B[j2*ldb + i2] = A[i2*lda + j2];
}
}
}
}
}
void forward_maxpool_layer_avx(float *src, float *dst, int *indexes, int size, int w, int h, int out_w, int out_h, int c,
int pad, int stride, int batch)
{
const int w_offset = -pad / 2;
const int h_offset = -pad / 2;
int b, k;
for (b = 0; b < batch; ++b) {
#pragma omp parallel for
for (k = 0; k < c; ++k) {
int i, j, m, n;
for (i = 0; i < out_h; ++i) {
//for (j = 0; j < out_w; ++j) {
j = 0;
if(stride == 1 && is_avx() == 1) {
for (j = 0; j < out_w - 8 - (size - 1); j += 8) {
int out_index = j + out_w*(i + out_h*(k + c*b));
__m256 max256 = _mm256_set1_ps(-FLT_MAX);
for (n = 0; n < size; ++n) {
for (m = 0; m < size; ++m) {
int cur_h = h_offset + i*stride + n;
int cur_w = w_offset + j*stride + m;
int index = cur_w + w*(cur_h + h*(k + b*c));
int valid = (cur_h >= 0 && cur_h < h &&
cur_w >= 0 && cur_w < w);
if (!valid) continue;
__m256 src256 = _mm256_loadu_ps(&src[index]);
max256 = _mm256_max_ps(src256, max256);
}
}
_mm256_storeu_ps(&dst[out_index], max256);
}
}
else if (size == 2 && stride == 2 && is_avx() == 1) {
for (j = 0; j < out_w - 4; j += 4) {
int out_index = j + out_w*(i + out_h*(k + c*b));
float max = -FLT_MAX;
int max_i = -1;
__m128 max128 = _mm_set1_ps(-FLT_MAX);
for (n = 0; n < size; ++n) {
//for (m = 0; m < size; ++m)
m = 0;
{
int cur_h = h_offset + i*stride + n;
int cur_w = w_offset + j*stride + m;
int index = cur_w + w*(cur_h + h*(k + b*c));
int valid = (cur_h >= 0 && cur_h < h &&
cur_w >= 0 && cur_w < w);
if (!valid) continue;
__m256 src256 = _mm256_loadu_ps(&src[index]);
__m256 src256_2 = _mm256_permute_ps(src256, (1 << 0) | (3 << 4));
__m256 max256 = _mm256_max_ps(src256, src256_2);
__m128 src128_0 = _mm256_extractf128_ps(max256, 0);
__m128 src128_1 = _mm256_extractf128_ps(max256, 1);
__m128 src128 = _mm_shuffle_ps(src128_0, src128_1, (2 << 2) | (2 << 6));
max128 = _mm_max_ps(src128, max128);
}
}
_mm_storeu_ps(&dst[out_index], max128);
}
}
for (; j < out_w; ++j) {
int out_index = j + out_w*(i + out_h*(k + c*b));
float max = -FLT_MAX;
int max_i = -1;
for (n = 0; n < size; ++n) {
for (m = 0; m < size; ++m) {
int cur_h = h_offset + i*stride + n;
int cur_w = w_offset + j*stride + m;
int index = cur_w + w*(cur_h + h*(k + b*c));
int valid = (cur_h >= 0 && cur_h < h &&
cur_w >= 0 && cur_w < w);
float val = (valid != 0) ? src[index] : -FLT_MAX;
max_i = (val > max) ? index : max_i;
max = (val > max) ? val : max;
}
}
dst[out_index] = max;
indexes[out_index] = max_i;
}
}
}
}
}
#else // AVX
int is_avx() {
return 0;
}
int is_fma_avx2() {
return 0;
}
void gemm_nn(int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float *C, int ldc)
{
int i, j, k;
for (i = 0; i < M; ++i) {
for (k = 0; k < K; ++k) {
PUT_IN_REGISTER float A_PART = ALPHA * A[i * lda + k];
for (j = 0; j < N; ++j) {
C[i*ldc + j] += A_PART*B[k*ldb + j];
}
}
}
}
void gemm_nn_fast(int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float *C, int ldc)
{
int i, j, k;
#pragma omp parallel for
for (i = 0; i < M; ++i) {
for (k = 0; k < K; ++k) {
PUT_IN_REGISTER float A_PART = ALPHA*A[i*lda + k];
for (j = 0; j < N; ++j) {
C[i*ldc + j] += A_PART*B[k*ldb + j];
}
}
}
}
void gemm_nn_bin_32bit_packed(int M, int N, int K, float ALPHA,
uint32_t *A, int lda,
uint32_t *B, int ldb,
float *C, int ldc, float *mean_arr)
{
int i;
#pragma omp parallel for
for (i = 0; i < M; ++i) { // l.n
int j, s;
float mean_val = mean_arr[i];
//printf(" l.mean_arr[i] = %d \n ", l.mean_arr[i]);
for (s = 0; s < K; ++s) // l.size*l.size*l.c/32 or (l.size*l.size*l.c)
{
//PUT_IN_REGISTER float A_PART = 1*a[i*k + s];
PUT_IN_REGISTER uint32_t A_PART = A[i * lda + s];
for (j = 0; j < N; ++j) // out_h*out_w;
{
//c[i*n + j] += A_PART*b[s*n + j];
PUT_IN_REGISTER uint32_t B_PART = B[s * ldb + j];
uint32_t xnor_result = ~(A_PART ^ B_PART);
//printf(" xnor_result = %d, ", xnor_result);
int32_t count = popcnt_32(xnor_result); // must be Signed int
C[i*ldc + j] += (2 * count - 32) * mean_val;
//c[i*n + j] += count*mean;
}
}
}
}
void convolution_2d(int w, int h, int ksize, int n, int c, int pad, int stride,
float *weights, float *input, float *output, float *mean)
{
const int out_h = (h + 2 * pad - ksize) / stride + 1; // output_height=input_height for stride=1 and pad=1
const int out_w = (w + 2 * pad - ksize) / stride + 1; // output_width=input_width for stride=1 and pad=1
//int i, f, j;
int fil;
// filter index
#pragma omp parallel for // "omp parallel for" - automatic parallelization of loop by using OpenMP
for (fil = 0; fil < n; ++fil) {
int chan, y, x, f_y, f_x;
// channel index
for (chan = 0; chan < c; ++chan)
// input - y
for (y = 0; y < h; ++y)
// input - x
for (x = 0; x < w; ++x)
{
int const output_index = fil*w*h + y*w + x;
int const weights_pre_index = fil*c*ksize*ksize + chan*ksize*ksize;
int const input_pre_index = chan*w*h;
float sum = 0;
// filter - y
for (f_y = 0; f_y < ksize; ++f_y)
{
int input_y = y + f_y - pad;
// filter - x
for (f_x = 0; f_x < ksize; ++f_x)
{
int input_x = x + f_x - pad;
if (input_y < 0 || input_x < 0 || input_y >= h || input_x >= w) continue;
int input_index = input_pre_index + input_y*w + input_x;
int weights_index = weights_pre_index + f_y*ksize + f_x;
sum += input[input_index] * weights[weights_index];
}
}
// l.output[filters][width][height] +=
// state.input[channels][width][height] *
// l.weights[filters][channels][filter_width][filter_height];
output[output_index] += sum;
}
}
}
static inline int popcnt_64(uint64_t val64) {
#ifdef WIN32 // Windows
#ifdef _WIN64 // Windows 64-bit
int tmp_count = __popcnt64(val64);
#else // Windows 32-bit
int tmp_count = __popcnt(val64);
tmp_count += __popcnt(val64 >> 32);
#endif
#else // Linux
#if defined(__x86_64__) || defined(__aarch64__) // Linux 64-bit
int tmp_count = __builtin_popcountll(val64);
#else // Linux 32-bit
int tmp_count = __builtin_popcount(val64);
tmp_count += __builtin_popcount(val64 >> 32);
#endif
#endif
return tmp_count;
}
void gemm_nn_custom_bin_mean_transposed(int M, int N, int K, float ALPHA_UNUSED,
unsigned char *A, int lda,
unsigned char *B, int ldb,
float *C, int ldc, float *mean_arr)
{
int i;
#pragma omp parallel for
for (i = 0; i < M; ++i) { // l.n - filters [16 - 55 - 1024]
int j, k;
float mean_val = mean_arr[i];
for (j = 0; j < N; ++j) { // out_h*out_w - one channel output size [169 - 173056]
int count = 0;
for (k = 0; k < K; k += 64) { // l.size*l.size*l.c - one filter size [27 - 9216]
uint64_t a_bit64 = *((uint64_t *)(A + (i*lda + k) / 8));
uint64_t b_bit64 = *((uint64_t *)(B + (j*ldb + k) / 8));
uint64_t c_bit64 = xnor_int64(a_bit64, b_bit64);
int tmp_count = popcnt_64(c_bit64);
if (K - k < 64) tmp_count = tmp_count - (64 - (K - k)); // remove extra bits
count += tmp_count;
//binary_int64_printf(c_bit64);
//printf(", count = %d \n\n", tmp_count);
}
C[i*ldc + j] = (2 * count - K) * mean_val;
}
}
}
void im2col_cpu_custom_transpose(float* data_im,
int channels, int height, int width,
int ksize, int stride, int pad, float* data_col, int ldb_align)
{
printf("\n im2col_cpu_custom_transpose() isn't implemented without AVX \n");
}
//From Berkeley Vision's Caffe!
//https://github.com/BVLC/caffe/blob/master/LICENSE
void im2col_cpu_custom(float* data_im,
int channels, int height, int width,
int ksize, int stride, int pad, float* data_col)
{
im2col_cpu(data_im, channels, height, width, ksize, stride, pad, data_col);
return;
int c;
const int height_col = (height + 2 * pad - ksize) / stride + 1;
const int width_col = (width + 2 * pad - ksize) / stride + 1;
const int channels_col = channels * ksize * ksize;
// optimized version
if (height_col == height && width_col == width && stride == 1 && pad == 1)
{
#pragma omp parallel for
for (c = 0; c < channels_col; ++c) {
int h, w;
int w_offset = c % ksize;
int h_offset = (c / ksize) % ksize;
int c_im = c / ksize / ksize;
for (h = pad; h < height_col - pad; ++h) {
for (w = pad; w < width_col - pad; ++w) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
}
for (; w < width_col - pad; ++w) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
}
}
{
w = 0;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
{
w = width_col - 1;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
{
h = 0;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
{
h = height_col - 1;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
}
}
}
}
else {
//printf("\n Error: is no non-optimized version \n");
im2col_cpu(data_im, channels, height, width, ksize, stride, pad, data_col);
}
}
//From Berkeley Vision's Caffe!
//https://github.com/BVLC/caffe/blob/master/LICENSE
void im2col_cpu_custom_bin(float* data_im,
int channels, int height, int width,
int ksize, int stride, int pad, float* data_col, int bit_align)
{
int c;
const int height_col = (height + 2 * pad - ksize) / stride + 1;
const int width_col = (width + 2 * pad - ksize) / stride + 1;
const int channels_col = channels * ksize * ksize;
// optimized version
if (height_col == height && width_col == width && stride == 1 && pad == 1)
{
int new_ldb = bit_align;
#pragma omp parallel for
for (c = 0; c < channels_col; ++c) {
int h, w;
int w_offset = c % ksize;
int h_offset = (c / ksize) % ksize;
int c_im = c / ksize / ksize;
for (h = pad; h < height_col - pad; ++h) {
for (w = pad; w < width_col - pad - 8; w += 1) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
float val = data_im[im_col + width*(im_row + height*c_im)];
if (val > 0) set_bit((unsigned char*)data_col, col_index);
}
for (; w < width_col - pad; ++w) {
int im_row = h_offset + h - pad;
int im_col = w_offset + w - pad;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = data_im[im_col + width*(im_row + height*c_im)];
float val = data_im[im_col + width*(im_row + height*c_im)];
if (val > 0) set_bit((unsigned char*)data_col, col_index);
}
}
{
w = 0;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
float val = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
if (val > 0) set_bit((unsigned char*)data_col, col_index);
}
}
{
w = width_col - 1;
for (h = 0; h < height_col; ++h) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
float val = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
if (val > 0) set_bit((unsigned char*)data_col, col_index);
}
}
{
h = 0;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
float val = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
if (val > 0) set_bit((unsigned char*)data_col, col_index);
}
}
{
h = height_col - 1;
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h;
int im_col = w_offset + w;
//int col_index = (c * height_col + h) * width_col + w;
int col_index = c * new_ldb + h * width_col + w;
//data_col[col_index] = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
float val = im2col_get_pixel(data_im, height, width, channels, im_row, im_col, c_im, pad);
if (val > 0) set_bit((unsigned char*)data_col, col_index);
}
}
}
}
else {
printf("\n Error: is no non-optimized version \n");
//im2col_cpu(data_im, channels, height, width, ksize, stride, pad, data_col); // must be aligned for transpose after float_to_bin
// float_to_bit(b, t_input, src_size);
// transpose_bin(t_input, *t_bit_input, k, n, bit_align, new_ldb, 8);
}
}
void activate_array_cpu_custom(float *x, const int n, const ACTIVATION a)
{
int i;
if (a == LINEAR)
{
}
else if (a == LEAKY)
{
for (i = 0; i < n; ++i) {
x[i] = (x[i]>0) ? x[i] : .1*x[i];
}
}
else {
for (i = 0; i < n; ++i) {
x[i] = activate(x[i], a);
}
}
}
void float_to_bit(float *src, unsigned char *dst, size_t size)
{
size_t dst_size = size / 8 + 1;
memset(dst, 0, dst_size);
size_t i;
char* byte_arr = (char*)calloc(size, sizeof(char));
for (i = 0; i < size; ++i) {
if (src[i] > 0) byte_arr[i] = 1;
}
//for (i = 0; i < size; ++i) {
// dst[i / 8] |= byte_arr[i] << (i % 8);
//}
for (i = 0; i < size; i += 8) {
char dst_tmp = 0;
dst_tmp |= byte_arr[i + 0] << 0;
dst_tmp |= byte_arr[i + 1] << 1;
dst_tmp |= byte_arr[i + 2] << 2;
dst_tmp |= byte_arr[i + 3] << 3;
dst_tmp |= byte_arr[i + 4] << 4;
dst_tmp |= byte_arr[i + 5] << 5;
dst_tmp |= byte_arr[i + 6] << 6;
dst_tmp |= byte_arr[i + 7] << 7;
dst[i / 8] = dst_tmp;
}
free(byte_arr);
}
static inline void transpose_scalar_block(float *A, float *B, const int lda, const int ldb, const int block_size)
{
int i;
//#pragma omp parallel for
for (i = 0; i<block_size; i++) {
int j;
for (j = 0; j<block_size; j++) {
B[j*ldb + i] = A[i*lda + j];
}
}
}
void transpose_block_SSE4x4(float *A, float *B, const int n, const int m,
const int lda, const int ldb, const int block_size)
{
int i;
#pragma omp parallel for
for (i = 0; i < n; i += block_size) {
int j, i2, j2;
for (j = 0; j < m; j += block_size) {
int max_i2 = i + block_size < n ? i + block_size : n;
int max_j2 = j + block_size < m ? j + block_size : m;
for (i2 = i; i2 < max_i2; ++i2) {
for (j2 = j; j2 < max_j2; ++j2) {
B[j2*ldb + i2] = A[i2*lda + j2];
}
}
}
}
}
void forward_maxpool_layer_avx(float *src, float *dst, int *indexes, int size, int w, int h, int out_w, int out_h, int c,
int pad, int stride, int batch)
{
int b, k;
const int w_offset = -pad / 2;
const int h_offset = -pad / 2;
for (b = 0; b < batch; ++b) {
#pragma omp parallel for
for (k = 0; k < c; ++k) {
int i, j, m, n;
for (i = 0; i < out_h; ++i) {
for (j = 0; j < out_w; ++j) {
int out_index = j + out_w*(i + out_h*(k + c*b));
float max = -FLT_MAX;
int max_i = -1;
for (n = 0; n < size; ++n) {
for (m = 0; m < size; ++m) {
int cur_h = h_offset + i*stride + n;
int cur_w = w_offset + j*stride + m;
int index = cur_w + w*(cur_h + h*(k + b*c));
int valid = (cur_h >= 0 && cur_h < h &&
cur_w >= 0 && cur_w < w);
float val = (valid != 0) ? src[index] : -FLT_MAX;
max_i = (val > max) ? index : max_i;
max = (val > max) ? val : max;
}
}
dst[out_index] = max;
indexes[out_index] = max_i;
}
}
}
}
}
#endif // AVX
// 32 channels -> 1 channel (with 32 floats)
// 256 channels -> 8 channels (with 32 floats)
void repack_input(float *input, float *re_packed_input, int w, int h, int c)
{
const int items_per_channel = w * h;
int chan, i;
for (chan = 0; chan < c; chan += 32)
{
for (i = 0; i < items_per_channel; ++i)
{
int c_pack;
for (c_pack = 0; c_pack < 32; ++c_pack) {
float src = input[(chan + c_pack)*items_per_channel + i];
re_packed_input[chan*items_per_channel + i * 32 + c_pack] = src;
}
}
}
}
void transpose_uint32(uint32_t *src, uint32_t *dst, int src_h, int src_w, int src_align, int dst_align)
{
//l.bit_align - algined (n) by 32
//new_ldb - aligned (k) by 256
int i;
//#pragma omp parallel for
for (i = 0; i < src_h; i += 1) // l.size*l.size*l.c;
{
int j;
for (j = 0; j < src_w; j += 1) // out_h*out_w;
{
((uint32_t *)dst)[j*dst_align / 32 + i] = ((uint32_t *)src)[i*src_align + j];
}
}
}
void gemm_nn_bin_transposed_32bit_packed(int M, int N, int K, float ALPHA,
uint32_t *A, int lda,
uint32_t *B, int ldb,
float *C, int ldc, float *mean_arr)
{
int i;
#pragma omp parallel for
for (i = 0; i < M; ++i) { // l.n
int j, s;
float mean_val = mean_arr[i];
for (j = 0; j < N; ++j) // out_h*out_w;
{
float val = 0;
for (s = 0; s < K; ++s) // l.size*l.size*l.c/32 or (l.size*l.size*l.c)
{
PUT_IN_REGISTER uint32_t A_PART = ((uint32_t*)A)[i*lda + s];
PUT_IN_REGISTER uint32_t B_PART = ((uint32_t*)B)[j * ldb + s];
uint32_t xnor_result = ~(A_PART ^ B_PART);
int32_t count = popcnt_32(xnor_result); // must be Signed int
val += (2 * count - 32) * mean_val;
}
C[i*ldc + j] += val;
}
}
}
void convolution_repacked(uint32_t *packed_input, uint32_t *packed_weights, float *output,
int w, int h, int c, int n, int size, int pad, int new_lda, float *mean_arr)
{
int fil;
// filter index
#pragma omp parallel for
for (fil = 0; fil < n; ++fil) {
float mean_val = mean_arr[fil];
int chan, c_pack, y, x, f_y, f_x;
// channel index
for (chan = 0; chan < c / 32; ++chan)
//for (chan = 0; chan < l.c; chan += 32)
//for (c_pack = 0; c_pack < 32; ++c_pack)
// input - y
for (y = 0; y < h; ++y)
// input - x
for (x = 0; x < w; ++x)
{
int const output_index = fil*w*h + y*w + x;
float sum = 0;
// filter - y
for (f_y = 0; f_y < size; ++f_y)
{
int input_y = y + f_y - pad;
// filter - x
for (f_x = 0; f_x < size; ++f_x)
{
int input_x = x + f_x - pad;
if (input_y < 0 || input_x < 0 || input_y >= h || input_x >= w) continue;
// normal
//float input = state.input[(chan + c_pack)*l.w*l.h + input_y*l.w + input_x];
//float weight = l.weights[fil*l.c*l.size*l.size + (chan + c_pack)*l.size*l.size + f_y*l.size + f_x];
// packed
//float input = re_packed_input[chan*l.w*l.h + (input_y*l.w + input_x) * 32 + c_pack];
//float weight = l.weights[fil*l.c*l.size*l.size + chan*l.size*l.size + (f_y*l.size + f_x) * 32 + c_pack];
//sum += input * weight;
//float input = re_packed_input[chan*l.w*l.h + (input_y*l.w + input_x) * 32 + c_pack];
//float weight = l.weights[fil*l.c*l.size*l.size + chan*l.size*l.size + (f_y*l.size + f_x) * 32 + c_pack];
//uint32_t bit1 = input > 0;
//uint32_t bit2 = weight > 0;
//uint32_t count = (~(bit1 ^ bit2)) & 1;
//float result = (2 * (float)count - 1) * mean_val;
//printf("\n mul = %f, bit1 = %d, bit2 = %d, count = %d, mean = %f, result = %f ", input*weight, bit1, bit2, count, mean_val, result);
//sum += result;
uint32_t input = ((uint32_t *)packed_input)[chan*w*h + input_y*w + input_x];
//uint32_t weight = ((uint32_t *)l.align_bit_weights)[fil*l.c*l.size*l.size/32 + chan*l.size*l.size + f_y*l.size + f_x];
uint32_t weight = ((uint32_t *)packed_weights)[fil*new_lda / 32 + chan*size*size + f_y*size + f_x];
uint32_t xnor_result = ~(input ^ weight);
int32_t count = popcnt_32(xnor_result); // mandatory Signed int
sum += (2 * count - 32) * mean_val;
}
}
// l.output[filters][width][height] +=
// state.input[channels][width][height] *
// l.weights[filters][channels][filter_width][filter_height];
output[output_index] += sum;
}
}
}
void gemm_nt(int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float *C, int ldc)
{
int i,j,k;
for(i = 0; i < M; ++i){
for(j = 0; j < N; ++j){
PUT_IN_REGISTER float sum = 0;
for(k = 0; k < K; ++k){
sum += ALPHA*A[i*lda+k]*B[j*ldb + k];
}
C[i*ldc+j] += sum;
}
}
}
void gemm_tn(int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float *C, int ldc)
{
int i,j,k;
for(i = 0; i < M; ++i){
for(k = 0; k < K; ++k){
PUT_IN_REGISTER float A_PART = ALPHA * A[k * lda + i];
for(j = 0; j < N; ++j){
C[i*ldc+j] += A_PART*B[k*ldb+j];
}
}
}
}
void gemm_tt(int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float *C, int ldc)
{
int i,j,k;
for(i = 0; i < M; ++i){
for(j = 0; j < N; ++j){
PUT_IN_REGISTER float sum = 0;
for(k = 0; k < K; ++k){
sum += ALPHA*A[i+k*lda]*B[k+j*ldb];
}
C[i*ldc+j] += sum;
}
}
}
void gemm_cpu(int TA, int TB, int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float BETA,
float *C, int ldc)
{
//printf("cpu: %d %d %d %d %d %f %d %d %f %d\n",TA, TB, M, N, K, ALPHA, lda, ldb, BETA, ldc);
if (BETA != 1){
int i, j;
for(i = 0; i < M; ++i){
for(j = 0; j < N; ++j){
C[i*ldc + j] *= BETA;
}
}
}
is_avx(); // initialize static variable
if (is_fma_avx2() && !TA && !TB) {
gemm_nn_fast(M, N, K, ALPHA, A, lda, B, ldb, C, ldc);
}
else {
int t;
#pragma omp parallel for
for (t = 0; t < M; ++t) {
if (!TA && !TB)
gemm_nn(1, N, K, ALPHA, A + t*lda, lda, B, ldb, C + t*ldc, ldc);
else if (TA && !TB)
gemm_tn(1, N, K, ALPHA, A + t, lda, B, ldb, C + t*ldc, ldc);
else if (!TA && TB)
gemm_nt(1, N, K, ALPHA, A + t*lda, lda, B, ldb, C + t*ldc, ldc);
else
gemm_tt(1, N, K, ALPHA, A + t, lda, B, ldb, C + t*ldc, ldc);
}
}
}
#ifdef GPU
#include <math.h>
void gemm_ongpu(int TA, int TB, int M, int N, int K, float ALPHA,
float *A_gpu, int lda,
float *B_gpu, int ldb,
float BETA,
float *C_gpu, int ldc)
{
cublasHandle_t handle = blas_handle();
cudaError_t stream_status = (cudaError_t)cublasSetStream(handle, get_cuda_stream());
CHECK_CUDA(stream_status);
cudaError_t status = (cudaError_t)cublasSgemm(handle, (TB ? CUBLAS_OP_T : CUBLAS_OP_N),
(TA ? CUBLAS_OP_T : CUBLAS_OP_N), N, M, K, &ALPHA, B_gpu, ldb, A_gpu, lda, &BETA, C_gpu, ldc);
CHECK_CUDA(status);
}
void gemm_gpu(int TA, int TB, int M, int N, int K, float ALPHA,
float *A, int lda,
float *B, int ldb,
float BETA,
float *C, int ldc)
{
float *A_gpu = cuda_make_array(A, (TA ? lda*K:lda*M));
float *B_gpu = cuda_make_array(B, (TB ? ldb*N : ldb*K));
float *C_gpu = cuda_make_array(C, ldc*M);
gemm_ongpu(TA, TB, M, N, K, ALPHA, A_gpu, lda, B_gpu, ldb, BETA, C_gpu, ldc);
cuda_pull_array(C_gpu, C, ldc*M);
cuda_free(A_gpu);
cuda_free(B_gpu);
cuda_free(C_gpu);
}
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>
void time_gpu_random_matrix(int TA, int TB, int m, int k, int n)
{
float *a;
if(!TA) a = random_matrix(m,k);
else a = random_matrix(k,m);
int lda = (!TA)?k:m;
float *b;
if(!TB) b = random_matrix(k,n);
else b = random_matrix(n,k);
int ldb = (!TB)?n:k;
float *c = random_matrix(m,n);
int i;
clock_t start = clock(), end;
for(i = 0; i<32; ++i){
gemm_gpu(TA,TB,m,n,k,1,a,lda,b,ldb,1,c,n);
}
end = clock();
printf("Matrix Multiplication %dx%d * %dx%d, TA=%d, TB=%d: %lf s\n",m,k,k,n, TA, TB, (float)(end-start)/CLOCKS_PER_SEC);
free(a);
free(b);
free(c);
}
void time_ongpu(int TA, int TB, int m, int k, int n)
{
int iter = 10;
float *a = random_matrix(m,k);
float *b = random_matrix(k,n);
int lda = (!TA)?k:m;
int ldb = (!TB)?n:k;
float *c = random_matrix(m,n);
float *a_cl = cuda_make_array(a, m*k);
float *b_cl = cuda_make_array(b, k*n);
float *c_cl = cuda_make_array(c, m*n);
int i;
clock_t start = clock(), end;
for(i = 0; i<iter; ++i){
gemm_ongpu(TA,TB,m,n,k,1,a_cl,lda,b_cl,ldb,1,c_cl,n);
cudaDeviceSynchronize();
}
double flop = ((double)m)*n*(2.*k + 2.)*iter;
double gflop = flop/pow(10., 9);
end = clock();
double seconds = sec(end-start);
printf("Matrix Multiplication %dx%d * %dx%d, TA=%d, TB=%d: %lf s, %lf GFLOPS\n",m,k,k,n, TA, TB, seconds, gflop/seconds);
cuda_free(a_cl);
cuda_free(b_cl);
cuda_free(c_cl);
free(a);
free(b);
free(c);
}
void test_gpu_accuracy(int TA, int TB, int m, int k, int n)
{
srand(0);
float *a;
if(!TA) a = random_matrix(m,k);
else a = random_matrix(k,m);
int lda = (!TA)?k:m;
float *b;
if(!TB) b = random_matrix(k,n);
else b = random_matrix(n,k);
int ldb = (!TB)?n:k;
float *c = random_matrix(m,n);
float *c_gpu = random_matrix(m,n);
memset(c, 0, m*n*sizeof(float));
memset(c_gpu, 0, m*n*sizeof(float));
int i;
//pm(m,k,b);
gemm_gpu(TA,TB,m,n,k,1,a,lda,b,ldb,1,c_gpu,n);
//printf("GPU\n");
//pm(m, n, c_gpu);
gemm_cpu(TA,TB,m,n,k,1,a,lda,b,ldb,1,c,n);
//printf("\n\nCPU\n");
//pm(m, n, c);
double sse = 0;
for(i = 0; i < m*n; ++i) {
//printf("%f %f\n", c[i], c_gpu[i]);
sse += pow(c[i]-c_gpu[i], 2);
}
printf("Matrix Multiplication %dx%d * %dx%d, TA=%d, TB=%d: %g SSE\n",m,k,k,n, TA, TB, sse/(m*n));
free(a);
free(b);
free(c);
free(c_gpu);
}
int test_gpu_blas()
{
/*
test_gpu_accuracy(0,0,10,576,75);
test_gpu_accuracy(0,0,17,10,10);
test_gpu_accuracy(1,0,17,10,10);
test_gpu_accuracy(0,1,17,10,10);
test_gpu_accuracy(1,1,17,10,10);
test_gpu_accuracy(0,0,1000,10,100);
test_gpu_accuracy(1,0,1000,10,100);
test_gpu_accuracy(0,1,1000,10,100);
test_gpu_accuracy(1,1,1000,10,100);
test_gpu_accuracy(0,0,10,10,10);
time_ongpu(0,0,64,2916,363);
time_ongpu(0,0,64,2916,363);
time_ongpu(0,0,64,2916,363);
time_ongpu(0,0,192,729,1600);
time_ongpu(0,0,384,196,1728);
time_ongpu(0,0,256,196,3456);
time_ongpu(0,0,256,196,2304);
time_ongpu(0,0,128,4096,12544);
time_ongpu(0,0,128,4096,4096);
*/
time_ongpu(0,0,64,75,12544);
time_ongpu(0,0,64,75,12544);
time_ongpu(0,0,64,75,12544);
time_ongpu(0,0,64,576,12544);
time_ongpu(0,0,256,2304,784);
time_ongpu(1,1,2304,256,784);
time_ongpu(0,0,512,4608,196);
time_ongpu(1,1,4608,512,196);
return 0;
}
#endif
|
GB_unaryop__lnot_uint32_uint64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__lnot_uint32_uint64
// op(A') function: GB_tran__lnot_uint32_uint64
// C type: uint32_t
// A type: uint64_t
// cast: uint32_t cij = (uint32_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
uint64_t
#define GB_CTYPE \
uint32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// casting
#define GB_CASTING(z, x) \
uint32_t z = (uint32_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LNOT || GxB_NO_UINT32 || GxB_NO_UINT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_uint32_uint64
(
uint32_t *restrict Cx,
const uint64_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__lnot_uint32_uint64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
NeuralNet-OpenMP.c | /*
Author: Makarios Christakis
Description:
Feedforward multi layer neural network implementation, parallelized for CPUs
using the OpenMP API.
Trained using the MNIST fashion dataset, after normalising the pixel values and
initialising the neuron weights from a standard normal distribution.
Training using the parameters below (500 epochs, 60k training datapoints), the whole
program terminates in about 20 minutes. It achieves 97.4% accuracy on the training
dataset and 85.9% accuracy on the testing set.
More info can be found in execution_info.md
*/
// **********************************************************
// DEFINITIONS
#define NL1 100 // 1st layer size
#define NL2 10 // output layer size
#define NINPUT 784 //input size
#define NTRAIN 60000 //training set size
#define NTEST 10000 //testing set size
#define ITERATIONS 500 //number of epochs
#define ALPHA (double)0.05 //learning rate
// **********************************************************
// INCLUDES
#include "extra_functions.c"
#include <math.h>
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
// **********************************************************
// GLOBAL VARS
double WL1[NL1][NINPUT + 1];
double WL2[NL2][NL1 + 1];
// layer internal states
double DL1[NL1];
double DL2[NL2];
// layer outputs
double OL1[NL1];
double OL2[NL2];
// layer deltas
double delta2[NL2];
double delta1[NL1];
//data
double data_train[NTRAIN][NINPUT];
double data_test[NTEST][NINPUT];
int class_train[NTRAIN];
int class_test[NTEST];
double input[NINPUT];
// **********************************************************
// Implements the feedforward part of the Neural Network using the vector "in" as input.
void activateNN(double *in){
// layer1
#pragma omp parallel for
for (int i = 0; i < NL1; i++)
{
double register sum = 0;
for (int j = 0; j < NINPUT; j++)
{
sum += WL1[i][j] * in[j];
}
sum += WL1[i][NINPUT]; //add bias neuron weight
DL1[i] = sum;
OL1[i] = logistic(sum);
}
// layer2
#pragma omp parallel for
for (int i = 0; i < NL2; i++)
{
double register sum = 0;
for (int j = 0; j < NL1; j++)
{
sum += WL2[i][j] * OL1[j];
}
sum += WL2[i][NL1]; //add bias neuron weight
DL2[i] = sum;
OL2[i] = logistic(sum);
}
}
void trainNN(double *in,double *desired){
// Calculate Neural Network outputs
activateNN(in);
// Output layer deltas
#pragma omp parallel
{
#pragma omp for
for (int i = 0; i < NL2; i++)
{
delta2[i] = (OL2[i]-desired[i])*OL2[i]*(1-OL2[i]);
}
// Layer 1 Deltas
#pragma omp for
for (int i = 0; i < NL1; i++)
{
double register sum = 0;
for (int j = 0; j < NL2; j++)
{
sum += WL2[j][i] * delta2[j];
}
double register Oi = OL1[i];
delta1[i] = sum * Oi * (1-Oi);
}
}
#pragma omp parallel
{
// update weights of layer 2
#pragma omp for nowait
for (int i = 0; i < NL2; i++)
{
for (int j = 0; j < NL1; j++)
{
WL2[i][j] -= ALPHA * OL1[j] * delta2[i];
}
WL2[i][NL1] -= ALPHA * delta2[i];//update bias neuron weight
}
// update weights of layer 1
#pragma omp for
for (int i = 0; i < NL1; i++)
{
for (int j = 0; j < NINPUT; j++)
{
WL1[i][j] -= ALPHA * in[j] * delta1[i];
}
WL1[i][NINPUT] -= ALPHA * delta1[i];//update bias neuron weight
}
}
}
// **********************************************************
// Evaluates which class the network predicts that the input belongs to
// by finding the argmax of the output layer.
// Afterwards it updates the confusion matrix with the prediction.
void evaluate(int inputClass,double confMatrix[NL2][NL2]){
int maxIndex = 0;
double maxVal = 0;
for (int i = 0; i < NL2; i++)
{
if (maxVal<OL2[i])
{
maxVal = OL2[i];
maxIndex = i;
}
}
//Edge case where both the correct output layer and another one have the same output value, we consider that a correct classification.
if (maxVal==OL2[inputClass])
{
maxIndex = inputClass;
}
confMatrix[maxIndex][inputClass]++;
}
// **********************************************************
// Normalizes the input data into normal distribution N(0,1)
void normalizeData(double in[][NINPUT],int inSize){
double average[NINPUT] = {0};
double var[NINPUT] = {0};
#pragma omp parallel for
for (int i = 0; i < NINPUT; i++)
{
for (int j = 0; j < inSize; j++)//calculate mean
{
average[i] += in[j][i];
}
average[i] /= inSize;
double register mean = average[i];
for (int j = 0; j < inSize; j++)//calculate variance
{
var[i] += (in[j][i] - mean)*(in[j][i] - mean);
}
var[i] /= inSize-1;
}
#pragma omp parallel for
for (int i = 0; i < NINPUT; i++)
{
double register mean = average[i];
double register stddev = sqrt(var[i]);
for (int j = 0; j < inSize; j++)
{
in[j][i] -= mean;
in[j][i] /= stddev;
}
}
}
// **********************************************************
int main() {
double desiredOut[NL2]={0};
double confusionMatrixTrain[NL2][NL2]= {0};
double confusionMatrixTest[NL2][NL2]= {0};
readfile("./DATA/fashion-mnist_train.csv",class_train,data_train,NTRAIN);
readfile("./DATA/fashion-mnist_test.csv",class_test,data_test,NTEST);
normalizeData(data_test,NTEST);
normalizeData(data_train,NTRAIN);
initVecs();//initialise weights
for (int i = 0; i < NL2; i++)//initialise desired vector values
{
desiredOut[i] = 0.1;
}
int register tmp = 0;
for (int i = 0; i < NTRAIN*ITERATIONS; i++)//train the nn
{
tmp = rand()%NTRAIN;
desiredOut[class_train[tmp]] = 0.9;
trainNN(data_train[tmp],desiredOut);
desiredOut[class_train[tmp]] = 0.1;
}
printf("TRAINING FINISHED!\n\n");
for (int i = 0; i < NTRAIN; i++)//test with training set
{
activateNN(data_train[i]);
evaluate(class_train[i],confusionMatrixTrain);
}
for (int i = 0; i < NTEST; i++)//test with testing set
{
activateNN(data_test[i]);
evaluate(class_test[i],confusionMatrixTest);
}
double register testCorrect = 0;
double register trainCorrect = 0;
for (int i = 0; i < NL2; i++)
{
testCorrect += confusionMatrixTest[i][i];
trainCorrect += confusionMatrixTrain[i][i];
}
double totalCorrect = testCorrect + trainCorrect;
testCorrect /= (double)NTEST;
trainCorrect /= (double)NTRAIN;
totalCorrect /= ((double)NTEST+(double)NTRAIN);
printf("TRAINING SAMPLES CONFUSION MATRIX:\n");
printTable(confusionMatrixTrain);
printf("TESTING SAMPLES CONFUSION MATRIX:\n");
printTable(confusionMatrixTest);
printf("Correct rate in training samples: %0.3f\n",trainCorrect);
printf("Correct rate in testing samples: %0.3f\n",testCorrect);
printf("Overall hit rate: %0.3f\n",totalCorrect);
printf("Learning rate = %0.4f\n",ALPHA);
printf("EPOCHS = %d\n",(int)ITERATIONS);
return 0;
} |
GB_unop__identity_fp64_int16.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_fp64_int16)
// op(A') function: GB (_unop_tran__identity_fp64_int16)
// C type: double
// A type: int16_t
// cast: double cij = (double) aij
// unaryop: cij = aij
#define GB_ATYPE \
int16_t
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
double z = (double) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int16_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
double z = (double) aij ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FP64 || GxB_NO_INT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_fp64_int16)
(
double *Cx, // Cx and Ax may be aliased
const int16_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
int16_t aij = Ax [p] ;
double z = (double) aij ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
int16_t aij = Ax [p] ;
double z = (double) aij ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_fp64_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
ex04.c | /* Copyright (c) 2019 CSC Training */
/* Copyright (c) 2021 ENCCS */
#include <stdio.h>
#include <math.h>
#define NX 102400
int main(void)
{
double vecA[NX],vecB[NX],vecC[NX];
double r=0.2;
/* Initialization of vectors */
for (int i = 0; i < NX; i++) {
vecA[i] = pow(r, i);
vecB[i] = 1.0;
}
/* dot product of two vectors */
#pragma omp target teams distribute
for (int i = 0; i < NX; i++) {
vecC[i] = vecA[i] * vecB[i];
}
double sum = 0.0;
/* calculate the sum */
for (int i = 0; i < NX; i++) {
sum += vecC[i];
}
printf("The sum is: %8.6f \n", sum);
return 0;
}
|
DRB021-reductionmissing-orig-yes.c | /*
Copyright (C) 1991-2018 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it andor
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http:www.gnu.org/licenses/>.
*/
/*
This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it.
*/
/*
glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default.
*/
/*
wchar_t uses Unicode 10.0.0. Version 10.0 of the Unicode Standard is
synchronized with ISOIEC 10646:2017, fifth edition, plus
the following additions from Amendment 1 to the fifth edition:
- 56 emoji characters
- 285 hentaigana
- 3 additional Zanabazar Square characters
*/
/*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https:github.comLLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
A kernel with two level parallelizable loop with reduction:
if reduction(+:sum) is missing, there is race condition.
Data race pairs: we allow multiple pairs to preserve the pattern.
sum@70:7 vs. sum@70:7
sum@70:7 vs. sum@70:13
*/
#include <stdio.h>
int main(int argc, char * argv[])
{
int i, j;
float temp, sum = 0.0;
int len = 100;
float u[100][100];
int _ret_val_0;
#pragma cetus private(i, j)
#pragma loop name main#0
#pragma cetus parallel
#pragma omp parallel for private(i, j)
for (i=0; i<len; i ++ )
{
#pragma cetus private(j)
#pragma loop name main#0#0
#pragma cetus parallel
#pragma omp parallel for private(j)
for (j=0; j<len; j ++ )
{
u[i][j]=0.5;
}
}
#pragma cetus private(i, j, temp)
#pragma loop name main#1
#pragma cetus reduction(+: sum)
#pragma cetus parallel
#pragma omp parallel for private(i, j, temp) reduction(+: sum)
for (i=0; i<len; i ++ )
{
#pragma cetus private(j, temp)
#pragma loop name main#1#0
#pragma cetus reduction(+: sum)
#pragma cetus parallel
#pragma omp parallel for private(j, temp) reduction(+: sum)
for (j=0; j<len; j ++ )
{
temp=u[i][j];
sum=(sum+(temp*temp));
}
}
printf("sum = %f\n", sum);
_ret_val_0=0;
return _ret_val_0;
}
|
opencl_pgpsda_fmt_plug.c | /*
* Format for brute-forcing PGP SDAs (self-decrypting archives).
*
* This software is Copyright (c) 2017 Dhiru Kholia <dhiru at openwall.net> and
* it is hereby released to the general public under the following terms:
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted.
*/
#ifdef HAVE_OPENCL
#if FMT_EXTERNS_H
extern struct fmt_main fmt_opencl_pgpsda;
#elif FMT_REGISTERS_H
john_register_one(&fmt_opencl_pgpsda);
#else
#include <stdint.h>
#include <string.h>
#include <openssl/cast.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "arch.h"
#include "params.h"
#include "common.h"
#include "formats.h"
#include "misc.h"
#include "sha.h"
#include "common-opencl.h"
#include "options.h"
#include "pgpsda_common.h"
#define FORMAT_LABEL "pgpsda-opencl"
#define ALGORITHM_NAME "SHA1 OpenCL"
#define BINARY_SIZE 8
#define BINARY_ALIGN sizeof(uint32_t)
#define SALT_SIZE sizeof(struct custom_salt)
#define SALT_ALIGN sizeof(uint32_t)
#define PLAINTEXT_LENGTH 124
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1001
typedef struct {
uint32_t length;
uint8_t v[PLAINTEXT_LENGTH];
} pgpsda_password;
typedef struct {
uint8_t v[16];
} pgpsda_hash;
typedef struct {
uint32_t iterations;
uint8_t salt[8];
} pgpsda_salt;
static uint32_t (*crypt_out)[BINARY_SIZE * 2 / sizeof(uint32_t)];
static struct custom_salt *cur_salt;
static cl_int cl_error;
static pgpsda_password *inbuffer;
static pgpsda_hash *outbuffer;
static pgpsda_salt currentsalt;
static cl_mem mem_in, mem_out, mem_setting;
static struct fmt_main *self;
size_t insize, outsize, settingsize;
// This file contains auto-tuning routine(s). Has to be included after formats definitions.
#include "opencl-autotune.h"
#include "memdbg.h"
static const char *warn[] = {
"xfer: ", ", crypt: ", ", xfer: "
};
static size_t get_task_max_work_group_size()
{
return autotune_get_task_max_work_group_size(FALSE, 0, crypt_kernel);
}
static void create_clobj(size_t gws, struct fmt_main *self)
{
insize = sizeof(pgpsda_password) * gws;
outsize = sizeof(pgpsda_hash) * gws;
settingsize = sizeof(pgpsda_salt);
crypt_out = mem_calloc(gws, sizeof(*crypt_out));
inbuffer = mem_calloc(1, insize);
outbuffer = mem_alloc(outsize);
// Allocate memory
mem_in =
clCreateBuffer(context[gpu_id], CL_MEM_READ_ONLY, insize, NULL,
&cl_error);
HANDLE_CLERROR(cl_error, "Error allocating mem in");
mem_setting =
clCreateBuffer(context[gpu_id], CL_MEM_READ_ONLY, settingsize,
NULL, &cl_error);
HANDLE_CLERROR(cl_error, "Error allocating mem setting");
mem_out =
clCreateBuffer(context[gpu_id], CL_MEM_WRITE_ONLY, outsize, NULL,
&cl_error);
HANDLE_CLERROR(cl_error, "Error allocating mem out");
HANDLE_CLERROR(clSetKernelArg(crypt_kernel, 0, sizeof(mem_in),
&mem_in), "Error while setting mem_in kernel argument");
HANDLE_CLERROR(clSetKernelArg(crypt_kernel, 1, sizeof(mem_out),
&mem_out), "Error while setting mem_out kernel argument");
HANDLE_CLERROR(clSetKernelArg(crypt_kernel, 2, sizeof(mem_setting),
&mem_setting), "Error while setting mem_salt kernel argument");
}
static void release_clobj(void)
{
if (inbuffer) {
HANDLE_CLERROR(clReleaseMemObject(mem_in), "Release mem in");
HANDLE_CLERROR(clReleaseMemObject(mem_setting), "Release mem setting");
HANDLE_CLERROR(clReleaseMemObject(mem_out), "Release mem out");
MEM_FREE(inbuffer);
MEM_FREE(outbuffer);
}
}
static void init(struct fmt_main *_self)
{
self = _self;
opencl_prepare_dev(gpu_id);
}
static void reset(struct db_main *db)
{
if (!autotuned) {
char build_opts[64];
snprintf(build_opts, sizeof(build_opts),
"-DPLAINTEXT_LENGTH=%d",
PLAINTEXT_LENGTH);
opencl_init("$JOHN/kernels/pgpsda_kernel.cl",
gpu_id, build_opts);
crypt_kernel = clCreateKernel(program[gpu_id], "pgpsda", &cl_error);
HANDLE_CLERROR(cl_error, "Error creating kernel");
// Initialize openCL tuning (library) for this format.
opencl_init_auto_setup(SEED, 0, NULL, warn, 1, self,
create_clobj, release_clobj,
sizeof(pgpsda_password), 0, db);
// Auto tune execution from shared/included code.
autotune_run(self, 1, 0, 300);
}
}
static void done(void)
{
if (autotuned) {
release_clobj();
HANDLE_CLERROR(clReleaseKernel(crypt_kernel), "Release kernel");
HANDLE_CLERROR(clReleaseProgram(program[gpu_id]), "Release Program");
autotuned--;
}
}
static void *get_binary(char *ciphertext)
{
static union {
unsigned char c[BINARY_SIZE];
uint32_t dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
p = strrchr(ciphertext, '*') + 1;
for (i = 0; i < BINARY_SIZE; i++) {
out[i] = (atoi16[ARCH_INDEX(*p)] << 4) | atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out;
}
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
currentsalt.iterations = cur_salt->iterations;
memcpy((char*)currentsalt.salt, cur_salt->salt, 8);
HANDLE_CLERROR(clEnqueueWriteBuffer(queue[gpu_id], mem_setting,
CL_FALSE, 0, settingsize, ¤tsalt, 0, NULL, NULL),
"Copy setting to gpu");
}
#undef set_key
static void set_key(char *key, int index)
{
uint32_t length = strlen(key);
if (length > PLAINTEXT_LENGTH)
length = PLAINTEXT_LENGTH;
inbuffer[index].length = length;
memcpy(inbuffer[index].v, key, length);
}
static char *get_key(int index)
{
static char ret[PLAINTEXT_LENGTH + 1];
uint32_t length = inbuffer[index].length;
memcpy(ret, inbuffer[index].v, length);
ret[length] = '\0';
return ret;
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
size_t *lws = local_work_size ? &local_work_size : NULL;
global_work_size = GET_MULTIPLE_OR_BIGGER(count, local_work_size);
// Copy data to gpu
BENCH_CLERROR(clEnqueueWriteBuffer(queue[gpu_id], mem_in, CL_FALSE, 0,
insize, inbuffer, 0, NULL, multi_profilingEvent[0]),
"Copy data to gpu");
// Run kernel
BENCH_CLERROR(clEnqueueNDRangeKernel(queue[gpu_id], crypt_kernel, 1,
NULL, &global_work_size, lws, 0, NULL,
multi_profilingEvent[1]),
"Run kernel");
// Read the result back
BENCH_CLERROR(clEnqueueReadBuffer(queue[gpu_id], mem_out, CL_TRUE, 0,
outsize, outbuffer, 0, NULL, multi_profilingEvent[2]),
"Copy result back");
if (ocl_autotune_running)
return count;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (index = 0; index < count; index++) {
unsigned char *key;
CAST_KEY ck;
key = outbuffer[index].v;
CAST_set_key(&ck, 16, key);
memset((unsigned char*)crypt_out[index], 0, BINARY_SIZE);
CAST_ecb_encrypt(key, (unsigned char*)crypt_out[index], &ck, CAST_ENCRYPT);
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
for (; index < count; index++)
if (!memcmp(binary, crypt_out[index], ARCH_SIZE))
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp(binary, crypt_out[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
struct fmt_main fmt_opencl_pgpsda = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP,
{
"iteration count",
},
{ FORMAT_TAG },
pgpsda_tests,
},
{
init,
done,
reset,
fmt_default_prepare,
pgpsda_common_valid,
fmt_default_split,
get_binary,
pgpsda_common_get_salt,
{
pgpsda_iteration_count,
},
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_salt_hash,
NULL,
set_salt,
set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
#endif /* HAVE_OPENCL */
|
GB_unop__identity_int8_uint32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_int8_uint32)
// op(A') function: GB (_unop_tran__identity_int8_uint32)
// C type: int8_t
// A type: uint32_t
// cast: int8_t cij = (int8_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint32_t
#define GB_CTYPE \
int8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
int8_t z = (int8_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int8_t z = (int8_t) aij ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT8 || GxB_NO_UINT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_int8_uint32)
(
int8_t *Cx, // Cx and Ax may be aliased
const uint32_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
uint32_t aij = Ax [p] ;
int8_t z = (int8_t) aij ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
uint32_t aij = Ax [p] ;
int8_t z = (int8_t) aij ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_int8_uint32)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
oned_csr.c | /* Copyright (C) 2010-2011 The Trustees of Indiana University. */
/* */
/* Use, modification and distribution is subject to the Boost Software */
/* License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at */
/* http://www.boost.org/LICENSE_1_0.txt) */
/* */
/* Authors: Jeremiah Willcock */
/* Andrew Lumsdaine */
#include "common.h"
#include "oned_csr.h"
#include "redistribute.h"
#include <mpi.h>
#include <stdint.h>
#include <inttypes.h>
#include <stdlib.h>
#include <stddef.h>
#include <string.h>
#include <stdio.h>
#include <assert.h>
typedef struct temp_csr_graph {
size_t* restrict rowstarts;
int32_t* restrict column;//int64_t* restrict column;
size_t nlocalverts;
size_t nlocaledges;
size_t nlocaledges_allocated; /* Actual size of column */
int lg_nglobalverts;
} temp_csr_graph;
static void make_empty_csr(temp_csr_graph* restrict const outg /* All fields NULL or 0 */) {
outg->rowstarts = (size_t*)xcalloc(1, sizeof(size_t));
outg->column = NULL; /* Realloc can enlarge a NULL pointer */
outg->nlocalverts = outg->nlocaledges = outg->nlocaledges_allocated = 0;
outg->lg_nglobalverts = -1;
}
static void make_csr(const packed_edge* restrict const inbuf, temp_csr_graph* restrict const outg /* Must have memory and nlocalverts/nlocaledges filled in */) {
size_t nrows = outg->nlocalverts;
size_t inbuf_size = outg->nlocaledges;
size_t* temp = (size_t*)xmalloc(nrows * sizeof(size_t));
size_t* restrict rowstarts = outg->rowstarts;
int64_t* restrict column = outg->column;//int64_t* restrict column = outg->column;
{
size_t* restrict counts = temp;
memset(counts, 0, nrows * sizeof(size_t));
ptrdiff_t i;
#pragma omp parallel for
for (i = 0; i < (ptrdiff_t)inbuf_size; ++i) {
assert ((size_t)(VERTEX_LOCAL(get_v0_from_edge(&inbuf[i]))) < nrows);
#pragma omp atomic
++counts[VERTEX_LOCAL(get_v0_from_edge(&inbuf[i]))];
}
rowstarts[0] = 0;
for (i = 0; i < nrows; ++i) {
rowstarts[i + 1] = rowstarts[i] + counts[i];
}
}
{
size_t* restrict inserts = temp;
memcpy(inserts, rowstarts, nrows * sizeof(size_t));
ptrdiff_t i;
#pragma omp parallel for
for (i = 0; i < (ptrdiff_t)inbuf_size; ++i) {
int32_t v0 = get_v0_from_edge(&inbuf[i]);//int64_t v0 = get_v0_from_edge(&inbuf[i]);
int32_t v1 = get_v1_from_edge(&inbuf[i]);// int64_t v1 = get_v1_from_edge(&inbuf[i]);
assert ((size_t)(VERTEX_LOCAL(v0)) < nrows);
size_t pos = __sync_fetch_and_add(&inserts[VERTEX_LOCAL(v0)], 1);
assert (pos < inbuf_size);
column[pos] = v1;
}
}
free(temp);
}
/* Do merge: b = b union a */
static void merge_csr(temp_csr_graph* restrict const b,
const temp_csr_graph* restrict const a) {
size_t a_nlocalverts = a->nlocalverts;
size_t b_nlocalverts = b->nlocalverts;
size_t a_nlocaledges = a->nlocaledges;
size_t b_nlocaledges = b->nlocaledges;
if (a->nlocalverts > b->nlocalverts) {
ptrdiff_t old_b_nlocalverts = b_nlocalverts, i;
b->rowstarts = (size_t*)xrealloc(b->rowstarts, (a_nlocalverts + 1) * sizeof(size_t));
b_nlocalverts = b->nlocalverts = a->nlocalverts;
#pragma omp parallel for
for (i = old_b_nlocalverts; i < b_nlocalverts; ++i) {
b->rowstarts[i + 1] = b_nlocaledges;
}
b->lg_nglobalverts = a->lg_nglobalverts;
}
if (b_nlocaledges + a_nlocaledges > b->nlocaledges_allocated) {
size_t new_alloc = b_nlocaledges + a_nlocaledges + (1 << 16);
b->nlocaledges_allocated = new_alloc;
//b->column = (int64_t*)xrealloc(b->column, new_alloc * sizeof(int64_t));
b->column = (int32_t*)xrealloc(b->column, new_alloc * sizeof(int32_t));
}
memmove(&b->column[b->rowstarts[a_nlocalverts] + a_nlocaledges],
&b->column[b->rowstarts[a_nlocalverts]],
// (b_nlocaledges - b->rowstarts[a_nlocalverts]) * sizeof(int64_t));
(b_nlocaledges - b->rowstarts[a_nlocalverts]) * sizeof(int32_t));
ptrdiff_t i_plus_1;
for (i_plus_1 = a_nlocalverts; i_plus_1 > 0; --i_plus_1) {
ptrdiff_t i = i_plus_1 - 1;
memmove(&b->column[b->rowstarts[i] + a->rowstarts[i]],
&b->column[b->rowstarts[i]],
// (b->rowstarts[i + 1] - b->rowstarts[i]) * sizeof(int64_t));
(b->rowstarts[i + 1] - b->rowstarts[i]) * sizeof(int32_t));
memcpy(&b->column[b->rowstarts[i + 1] + a->rowstarts[i]],
&a->column[a->rowstarts[i]],
//(a->rowstarts[i + 1] - a->rowstarts[i]) * sizeof(int64_t));
(a->rowstarts[i + 1] - a->rowstarts[i]) * sizeof(int32_t));
}
b_nlocaledges = b->nlocaledges = b_nlocaledges + a_nlocaledges;
ptrdiff_t i;
#pragma omp parallel for
for (i = 0; i <= a_nlocalverts; ++i) {
b->rowstarts[i] += a->rowstarts[i];
}
#pragma omp parallel for if(a_nlocalverts != b_nlocalverts)
for (i = a_nlocalverts + 1; i <= b_nlocalverts; ++i) {
b->rowstarts[i] += a_nlocaledges;
}
}
#define CONV1D_FUNCNAME \
convert_graph_to_oned_csr_helper
#define CONV1D_EXTRA_PARAMS \
oned_csr_graph* const g
#define CONV1D_DECLARE_AND_INIT_GRAPH_SO_FAR \
temp_csr_graph graph_so_far = {NULL, NULL, 0, 0}; \
make_empty_csr(&graph_so_far);
#define CONV1D_CALL_ON_EDGES(V0, V1, LG_NGLOBALVERTS_SO_FAR, CONT) \
CONT(VERTEX_OWNER((V0)), CONV1D_WRITE_EDGE_NORMAL) \
CONT(VERTEX_OWNER((V1)), CONV1D_WRITE_EDGE_FLIPPED)
#define CONV1D_WRITE_EDGE_NORMAL(BUF, V0, V1) \
write_edge(BUF, V0, V1);
#define CONV1D_WRITE_EDGE_FLIPPED(BUF, V0, V1) \
write_edge(BUF, V1, V0);
#define CONV1D_EDGE_BUFFER_TYPE \
packed_edge
#define CONV1D_EDGE_BUFFER_MPI_TYPE \
packed_edge_mpi_type
#define CONV1D_PRECOMPRESS_INCOMING_DATA(LG_NGLOBALVERTS_SO_FAR, EDGES_TO_RECV, EDGES_RECEIVED_THIS_BLOCK) \
/*size_t nlocalverts_so_far = (size_t)DIV_SIZE((UINT64_C(1) << (LG_NGLOBALVERTS_SO_FAR)) / ulong_bits_squared + size - 1) * ulong_bits_squared;*/ \
size_t nlocalverts_so_far = (size_t)DIV_SIZE((UINT32_C(1) << (LG_NGLOBALVERTS_SO_FAR)) / ulong_bits_squared + size - 1) * ulong_bits_squared; \
temp_csr_graph t = { \
/* rowstarts */ (size_t*)xmalloc((size_t)(nlocalverts_so_far + 1) * sizeof(size_t)), \
/*(int64_t*)xmalloc((size_t)(EDGES_RECEIVED_THIS_BLOCK) * sizeof(int64_t)),*/ \
/* column */ (int32_t*)xmalloc((size_t)(EDGES_RECEIVED_THIS_BLOCK) * sizeof(int32_t)), \
/* nlocalverts */ (size_t)(nlocalverts_so_far), \
/* nlocaledges */ (size_t)(EDGES_RECEIVED_THIS_BLOCK), \
/* nlocaledges_allocated */ (size_t)(EDGES_RECEIVED_THIS_BLOCK), \
/* lg_nglobalverts */ (int)(LG_NGLOBALVERTS_SO_FAR) \
}; \
make_csr((EDGES_TO_RECV), &t);
#define CONV1D_MERGE_INTO_GRAPH_SO_FAR \
size_t new_alloc = graph_so_far.nlocaledges + edges_received_this_block * (block_count - ITERATE_TUPLE_GRAPH_BLOCK_NUMBER); \
if (new_alloc > graph_so_far.nlocaledges_allocated) { \
size_t new_alloc_real = new_alloc + (1 << 16); \
graph_so_far.nlocaledges_allocated = new_alloc_real; \
/* graph_so_far.column = (int64_t*)xrealloc(graph_so_far.column, new_alloc_real * sizeof(int64_t));*/ \
graph_so_far.column = (int32_t*)xrealloc(graph_so_far.column, new_alloc_real * sizeof(int32_t)); \
} \
merge_csr(&graph_so_far, &t);
#define CONV1D_FREE_PRECOMPRESSED_DATA \
free(t.rowstarts); \
free(t.column);
#define CONV1D_BUILD_FINAL_DATA_STRUCTURE_FROM_GRAPH_SO_FAR \
g->nlocaledges = graph_so_far.nlocaledges; \
g->rowstarts = graph_so_far.rowstarts; \
/*g->column = (int64_t*)xrealloc(graph_so_far.column, (size_t)g->nlocaledges * sizeof(int64_t));*/ \
g->column = (int32_t*)xrealloc(graph_so_far.column, (size_t)g->nlocaledges * sizeof(int32_t)); \
int32_t nlocalverts = (int32_t)(graph_so_far.nlocalverts); /* int64_t nlocalverts = (int64_t)(graph_so_far.nlocalverts);*/\
g->nlocalverts = (size_t)nlocalverts; \
/*MPI_Allreduce(&nlocalverts, &g->max_nlocalverts, 1, MPI_INT64_T, MPI_MAX, MPI_COMM_WORLD);*/ \
MPI_Allreduce(&nlocalverts, &g->max_nlocalverts, 1, MPI_INT32_T, MPI_MAX, MPI_COMM_WORLD); \
g->lg_nglobalverts = graph_so_far.lg_nglobalverts; \
g->nglobalverts = INT32_C(1) << graph_so_far.lg_nglobalverts; // g->nglobalverts = INT64_C(1) << graph_so_far.lg_nglobalverts;
#define CONV1D_CLEAR_GRAPH_SO_FAR \
free(graph_so_far.rowstarts); graph_so_far.rowstarts = NULL; \
free(graph_so_far.column); graph_so_far.column = NULL; \
graph_so_far.nlocalverts = graph_so_far.nlocaledges = graph_so_far.nlocaledges_allocated = 0;
static MAKE_REDISTRIBUTE_FUNC(CONV1D_FUNCNAME, CONV1D_EXTRA_PARAMS, CONV1D_DECLARE_AND_INIT_GRAPH_SO_FAR, CONV1D_CALL_ON_EDGES, CONV1D_EDGE_BUFFER_TYPE, CONV1D_EDGE_BUFFER_MPI_TYPE, CONV1D_PRECOMPRESS_INCOMING_DATA, CONV1D_MERGE_INTO_GRAPH_SO_FAR, CONV1D_FREE_PRECOMPRESSED_DATA, CONV1D_BUILD_FINAL_DATA_STRUCTURE_FROM_GRAPH_SO_FAR, CONV1D_CLEAR_GRAPH_SO_FAR)
void convert_graph_to_oned_csr(const tuple_graph* const tg, oned_csr_graph* const g) { \
g->tg = tg;
g->nlocaledges = 0;
convert_graph_to_oned_csr_helper(tg, g);
}
void free_oned_csr_graph(oned_csr_graph* const g) {
if (g->rowstarts != NULL) {free(g->rowstarts); g->rowstarts = NULL;}
if (g->column != NULL) {free(g->column); g->column = NULL;}
}
|
generator_gemm_common.c | /******************************************************************************
* Copyright (c) Intel Corporation - All rights reserved. *
* This file is part of the LIBXSMM library. *
* *
* For information on the license, see the LICENSE file. *
* Further information: https://github.com/libxsmm/libxsmm/ *
* SPDX-License-Identifier: BSD-3-Clause *
******************************************************************************/
/* Alexander Heinecke, Evangelos Georganas (Intel Corp.)
******************************************************************************/
#include "generator_gemm_common.h"
#include "generator_common.h"
#include "generator_x86_instructions.h"
#include "libxsmm_main.h"
#include "generator_common_x86.h"
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_apply_relu_to_vreg( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int zero_vreg,
const unsigned int inout_vreg,
const unsigned int store_bitmask,
const unsigned int gpr_bitmask,
const unsigned int store_bitmask_offset,
const unsigned int is_32_bit_relu,
const unsigned int aux_gpr,
const unsigned int aux_vreg) {
if (io_generated_code->arch < LIBXSMM_X86_AVX512) {
if (is_32_bit_relu == 1) {
if (store_bitmask == 1) {
libxsmm_x86_instruction_vec_compute_3reg_imm8( io_generated_code, LIBXSMM_X86_INSTR_VCMPPS, i_micro_kernel_config->vector_name, zero_vreg, inout_vreg, aux_vreg, 6 );
libxsmm_x86_instruction_vec_compute_3reg_imm8( io_generated_code, LIBXSMM_X86_INSTR_VMOVMSKPS, i_micro_kernel_config->vector_name, aux_vreg, LIBXSMM_X86_VEC_REG_UNDEF, aux_gpr, 0 );
libxsmm_x86_instruction_alu_mem( io_generated_code, LIBXSMM_X86_INSTR_MOVB, gpr_bitmask, LIBXSMM_X86_GP_REG_UNDEF, 0, store_bitmask_offset, aux_gpr, 1);
}
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code, LIBXSMM_X86_INSTR_VMAXPS, i_micro_kernel_config->vector_name, inout_vreg, zero_vreg, inout_vreg );
} else {
/* shouldn't happen */
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_UNSUP_DATATYPE );
return;
}
} else {
if (store_bitmask == 0) {
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
(is_32_bit_relu == 1) ? LIBXSMM_X86_INSTR_VMAXPS : LIBXSMM_X86_INSTR_VPMAXSW,
i_micro_kernel_config->vector_name,
inout_vreg,
zero_vreg,
inout_vreg);
} else {
unsigned int current_mask_reg = 7;
libxsmm_x86_instruction_vec_compute_3reg_imm8( io_generated_code,
(is_32_bit_relu == 1) ? LIBXSMM_X86_INSTR_VCMPPS : LIBXSMM_X86_INSTR_VPCMPW,
i_micro_kernel_config->vector_name,
zero_vreg,
inout_vreg,
current_mask_reg, 6 );
/* Blend output result with zero reg based on relu mask */
libxsmm_x86_instruction_vec_compute_3reg_mask( io_generated_code,
(is_32_bit_relu == 1) ? LIBXSMM_X86_INSTR_VPBLENDMD : LIBXSMM_X86_INSTR_VPBLENDMW,
i_micro_kernel_config->vector_name,
inout_vreg,
zero_vreg,
inout_vreg,
current_mask_reg,
0 );
/* Store bitmask */
libxsmm_x86_instruction_mask_move_mem( io_generated_code,
(is_32_bit_relu == 1) ? LIBXSMM_X86_INSTR_KMOVW_ST : LIBXSMM_X86_INSTR_KMOVD_ST,
gpr_bitmask,
LIBXSMM_X86_GP_REG_UNDEF,
0,
store_bitmask_offset,
current_mask_reg );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( libxsmm_generated_code* io_generated_code,
libxsmm_micro_kernel_config* i_micro_kernel_config_mod,
const unsigned int scratch_gpr,
const unsigned int in_vreg,
const unsigned int out_vreg ) {
/* Load accumulator from scratch */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config_mod->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
scratch_gpr,
LIBXSMM_X86_GP_REG_UNDEF, 0,
in_vreg * 64,
i_micro_kernel_config_mod->vector_name,
out_vreg, 0, 1, 0 );
/* Apply sigmoid */
if (io_generated_code->arch >= LIBXSMM_X86_AVX512) {
libxsmm_generator_sigmoid_ps_rational_78_avx512( io_generated_code, out_vreg, i_micro_kernel_config_mod->vec_x2,
i_micro_kernel_config_mod->vec_nom, i_micro_kernel_config_mod->vec_denom,
i_micro_kernel_config_mod->mask_hi, i_micro_kernel_config_mod->mask_lo,
i_micro_kernel_config_mod->vec_c0, i_micro_kernel_config_mod->vec_c1, i_micro_kernel_config_mod->vec_c2, i_micro_kernel_config_mod->vec_c3,
i_micro_kernel_config_mod->vec_c1_d, i_micro_kernel_config_mod->vec_c2_d, i_micro_kernel_config_mod->vec_c3_d,
i_micro_kernel_config_mod->vec_hi_bound, i_micro_kernel_config_mod->vec_lo_bound, i_micro_kernel_config_mod->vec_ones,
i_micro_kernel_config_mod->vec_neg_ones, i_micro_kernel_config_mod->vec_halves );
} else {
libxsmm_generator_sigmoid_ps_rational_78_avx( io_generated_code, out_vreg, i_micro_kernel_config_mod->vec_x2,
i_micro_kernel_config_mod->vec_nom, i_micro_kernel_config_mod->vec_denom,
i_micro_kernel_config_mod->vec_c0, i_micro_kernel_config_mod->vec_c1, i_micro_kernel_config_mod->vec_c2, i_micro_kernel_config_mod->vec_c3,
i_micro_kernel_config_mod->vec_c1_d, i_micro_kernel_config_mod->vec_c2_d, i_micro_kernel_config_mod->vec_c3_d,
i_micro_kernel_config_mod->vec_hi_bound, i_micro_kernel_config_mod->vec_lo_bound, i_micro_kernel_config_mod->vec_ones,
i_micro_kernel_config_mod->vec_neg_ones);
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_restore_2D_regblock_from_scratch( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int scratch_gpr,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking) {
unsigned int l_n, l_m;
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
scratch_gpr,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_vec_reg_acc_start + l_m + (l_m_blocking * l_n)) * 64,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), 0, 0, 0 );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_store_2D_regblock_to_scratch( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int scratch_gpr,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking) {
unsigned int l_n, l_m;
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
scratch_gpr,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_vec_reg_acc_start + l_m + (l_m_blocking * l_n)) * 64,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), 0, 0, 1 );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_dump_2D_block_and_prepare_sigmoid_fusion( libxsmm_generated_code* io_generated_code,
libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking,
const unsigned int scratch_gpr,
const unsigned int aux_gpr) {
unsigned int n_avail_vregs = (io_generated_code->arch >= LIBXSMM_X86_AVX512) ? 32 : 16;
unsigned int n_avail_masks = (io_generated_code->arch >= LIBXSMM_X86_AVX512) ? 8 : 16;
/* First dump the accumulators to scratch and then setup sigmoid coeffcients to be reused */
libxsmm_x86_instruction_push_reg( io_generated_code, scratch_gpr);
libxsmm_x86_instruction_push_reg( io_generated_code, aux_gpr );
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_GEMM_SCRATCH_PTR, scratch_gpr);
libxsmm_generator_gemm_store_2D_regblock_to_scratch( io_generated_code, i_micro_kernel_config,
scratch_gpr, l_vec_reg_acc_start, l_m_blocking, i_n_blocking);
libxsmm_generator_gemm_prepare_coeffs_sigmoid_ps_rational_78_avx_avx512( io_generated_code, i_micro_kernel_config, n_avail_vregs, n_avail_masks, aux_gpr );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_prepare_relu_fusion( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int zero_vreg,
const unsigned int store_bitmask,
const unsigned int bitmask_gpr,
const unsigned int aux_gpr) {
/* Zero out register 0 to perform relu */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
zero_vreg, zero_vreg, zero_vreg);
if (store_bitmask == 1) {
libxsmm_x86_instruction_push_reg( io_generated_code, bitmask_gpr );
if (io_generated_code->arch < LIBXSMM_X86_AVX512) {
libxsmm_x86_instruction_push_reg( io_generated_code, aux_gpr );
}
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, bitmask_gpr );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_cleanup_relu_fusion( libxsmm_generated_code* io_generated_code,
const unsigned int store_bitmask,
const unsigned int bitmask_gpr,
const unsigned int aux_gpr) {
if (store_bitmask == 1) {
if (io_generated_code->arch < LIBXSMM_X86_AVX512) {
libxsmm_x86_instruction_pop_reg( io_generated_code, aux_gpr );
}
libxsmm_x86_instruction_pop_reg( io_generated_code, bitmask_gpr);
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_cleanup_sigmoid_fusion( libxsmm_generated_code* io_generated_code,
const unsigned int scratch_gpr,
const unsigned int aux_gpr ) {
libxsmm_x86_instruction_pop_reg( io_generated_code, aux_gpr );
libxsmm_x86_instruction_pop_reg( io_generated_code, scratch_gpr );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_load_colbias_to_2D_block( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_datatype colbias_precision,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking ) {
unsigned int l_n = 0, l_m = 0;
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_2 );
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
if (colbias_precision == LIBXSMM_DATATYPE_BF16) {
if (l_n == 0) {
/* Load bias vector */
/* load 16 bit values into xmm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_m * (i_micro_kernel_config->vector_length)) * 2,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
l_vec_reg_acc_start + l_m, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_m * (i_micro_kernel_config->vector_length)) * 2,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'x' : 'y',
l_vec_reg_acc_start + l_m, 0, 1, 0 );
}
/* convert 16 bit values into 32 bit (integer convert) */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXWD,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m, l_vec_reg_acc_start + l_m );
/* shift 16 bits to the left to generate valid FP32 numbers */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSLLD_I,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m,
l_vec_reg_acc_start + l_m,
16);
} else {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code, LIBXSMM_X86_INSTR_VMOVUPS,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
l_vec_reg_acc_start + l_m, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
} else if (colbias_precision == LIBXSMM_DATATYPE_F32) {
if (l_n == 0) {
/* Load bias vector */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_m * (i_micro_kernel_config->vector_length))) * 4,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m, ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 1, 0 );
} else {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code, LIBXSMM_X86_INSTR_VMOVUPS, i_micro_kernel_config->vector_name, l_vec_reg_acc_start + l_m, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
} else {
/* shouldn't happen */
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_UNSUP_DATATYPE );
return;
}
}
}
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_add_colbias_to_2D_block( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_datatype colbias_precision,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking ) {
unsigned int l_n = 0, l_m = 0;
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_2 );
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* Load bias vector */
if (colbias_precision == LIBXSMM_DATATYPE_BF16) {
/* load 16 bit values into xmm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_m * (i_micro_kernel_config->vector_length)) * 2,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
0, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_m * (i_micro_kernel_config->vector_length)) * 2,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'x' : 'y',
0, 0, 1, 0 );
}
/* convert 16 bit values into 32 bit (integer convert) */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXWD,
i_micro_kernel_config->vector_name,
0, 0 );
/* shift 16 bits to the left to generate valid FP32 numbers */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSLLD_I,
i_micro_kernel_config->vector_name,
0,
0,
16);
} else if (colbias_precision == LIBXSMM_DATATYPE_F32) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_m * (i_micro_kernel_config->vector_length))) * 4,
i_micro_kernel_config->vector_name,
0, ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 1, 0 );
} else {
/* shouldn't happen */
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_UNSUP_DATATYPE );
return;
}
/* Add colbias */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code, LIBXSMM_X86_INSTR_VADDPS, i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), 0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
}
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_prepare_coeffs_sigmoid_ps_rational_78_avx_avx512( libxsmm_generated_code* io_generated_code,
libxsmm_micro_kernel_config* i_micro_kernel_config,
unsigned int reserved_zmms,
unsigned int reserved_mask_regs,
unsigned int temp_reg ) {
float pade78_sigm_array[16] = { 2027025.0f, 270270.0f, 6930.0f, 36.0f, 945945.0f, 51975.0f, 630.0f, 4.97f, -4.97f, 1.0f, -1.0f, 0.5f, 0.0f, 0.0f, 0.0f, 0.0f };
i_micro_kernel_config->vec_x2 = reserved_zmms - 1;
i_micro_kernel_config->vec_nom = reserved_zmms - 2;
i_micro_kernel_config->vec_denom = reserved_zmms - 3;
i_micro_kernel_config->vec_c0 = reserved_zmms - 4;
i_micro_kernel_config->vec_c1 = reserved_zmms - 5;
i_micro_kernel_config->vec_c2 = reserved_zmms - 6;
i_micro_kernel_config->vec_c3 = reserved_zmms - 7;
i_micro_kernel_config->vec_c1_d = reserved_zmms - 8;
i_micro_kernel_config->vec_c2_d = reserved_zmms - 9;
i_micro_kernel_config->vec_c3_d = reserved_zmms - 10;
i_micro_kernel_config->vec_hi_bound = reserved_zmms - 11;
i_micro_kernel_config->vec_lo_bound = reserved_zmms - 12;
i_micro_kernel_config->vec_ones = reserved_zmms - 13;
i_micro_kernel_config->vec_neg_ones = reserved_zmms - 14;
i_micro_kernel_config->vec_halves = reserved_zmms - 15;
libxsmm_x86_instruction_full_vec_load_of_constants ( io_generated_code, (const unsigned char *) pade78_sigm_array, "pade78_sigm_array_", i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c0);
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_GEMM_SCRATCH_PTR, temp_reg );
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
temp_reg,
LIBXSMM_X86_GP_REG_UNDEF, 0, 0,
i_micro_kernel_config->vector_name,
i_micro_kernel_config->vec_c0, 0, 1, 1 );
if (io_generated_code->arch < LIBXSMM_X86_AVX512) {
libxsmm_x86_instruction_full_vec_load_of_constants ( io_generated_code, (const unsigned char *) &pade78_sigm_array[8], "pade78_sigm_array2_", i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c0);
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
temp_reg,
LIBXSMM_X86_GP_REG_UNDEF, 0, 32,
i_micro_kernel_config->vector_name,
i_micro_kernel_config->vec_c0, 0, 1, 1 );
}
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
0, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c0, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
4, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c1, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
8, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c2, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
12, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c3, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
16, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c1_d, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
20, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c2_d, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
24, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c3_d, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
28, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_hi_bound, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
32, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_lo_bound, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
36, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_ones, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
40, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_neg_ones, 0, 1, 0 );
if (io_generated_code->arch >= LIBXSMM_X86_AVX512) {
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
44, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_halves, 0, 1, 0 );
}
i_micro_kernel_config->mask_hi = reserved_mask_regs - 1;
i_micro_kernel_config->mask_lo = reserved_mask_regs - 2;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_stack_frame_fill_stack_vars_v2( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping ) {
int is_stride_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_STRIDE) > 0) ? 1 : 0;
int is_offset_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_OFFSET) > 0) ? 1 : 0;
int is_address_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) > 0) ? 1 : 0;
int is_brgemm = ((is_stride_brgemm == 1) || (is_offset_brgemm == 1) || (is_address_brgemm == 1)) ? 1 : 0;
int has_scf = ((LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) && (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ))) ? 1 : 0;
int has_A_pf_ptr = (i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2_AHEAD || i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD) ? 1 : 0;
int has_B_pf_ptr = (i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C || i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C || i_xgemm_desc->prefetch == LIBXSMM_PREFETCH_AL2CL2BL2_VIA_C ) ? 1 : 0;
unsigned int temp_reg = LIBXSMM_X86_GP_REG_R10;
if (has_scf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 112, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_INT8_SCF, temp_reg );
}
if (has_A_pf_ptr == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 56, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
}
if (has_B_pf_ptr == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 88, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
if ((is_brgemm == 1) && ( i_micro_kernel_config->decompress_A == 1)) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_BRCOUNT, i_gp_reg_mapping->gp_reg_reduce_count );
}
if (is_offset_brgemm == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 40, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_A_OFFS_BRGEMM_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 72, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_B_OFFS_BRGEMM_PTR, temp_reg );
}
if (i_micro_kernel_config->fused_eltwise == 1) {
if (i_micro_kernel_config->has_colbias_act_fused == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 128, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 104, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, temp_reg );
}
if (i_micro_kernel_config->decompress_A == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 48, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BITMAP_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 160, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_DECOMPRESS_BUF, temp_reg );
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 104, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, temp_reg );
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 104, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, temp_reg );
}
if (i_micro_kernel_config->norm_to_normT_B_ext_buf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 192, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_B, temp_reg );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_stack_frame_fill_stack_vars(libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config) {
int is_stride_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_STRIDE) > 0) ? 1 : 0;
int is_offset_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_OFFSET) > 0) ? 1 : 0;
int is_address_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) > 0) ? 1 : 0;
int is_brgemm = ((is_stride_brgemm == 1) || (is_offset_brgemm == 1) || (is_address_brgemm == 1)) ? 1 : 0;
int has_scf = ((LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) && (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ))) ? 1 : 0;
int has_A_pf_ptr = (i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2_AHEAD || i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD) ? 1 : 0;
int has_B_pf_ptr = (i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C || i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C || i_xgemm_desc->prefetch == LIBXSMM_PREFETCH_AL2CL2BL2_VIA_C ) ? 1 : 0;
unsigned int eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_R11;
unsigned int temp_reg = LIBXSMM_X86_GP_REG_R10;
if (is_brgemm == 0) {
/* GEMM (A, B, C, [scf, eltwise_struct, Apf, Bpf] */
if (has_scf == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_INT8_SCF, LIBXSMM_X86_GP_REG_RCX );
if (i_micro_kernel_config->fused_eltwise == 1) {
eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_R8;
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R9 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R8 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R8 );
}
}
}
} else {
if (i_micro_kernel_config->fused_eltwise == 1) {
eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_RCX;
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R8 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R8 );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_RCX );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R8 );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_RCX );
}
}
}
}
} else {
if (i_micro_kernel_config->decompress_A == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RCX, LIBXSMM_X86_GP_REG_UNDEF, 0, 0, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_BRCOUNT, temp_reg );
}
if ((is_stride_brgemm == 1) || (is_address_brgemm == 1)) {
/* BRGEMM_ADDR/STRIDE (A, B, C, cnt, [scf, eltwise_struct, Apf, Bpf] */
if (has_scf == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_INT8_SCF, LIBXSMM_X86_GP_REG_R8 );
if (i_micro_kernel_config->fused_eltwise == 1) {
eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_R9;
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R9 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
}
}
} else {
if (i_micro_kernel_config->fused_eltwise == 1) {
eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_R8;
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R9 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R8 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R8 );
}
}
}
}
} else {
/* BRGEMM_OFFS (A, B, C, cnt, A_off, B_off, [scf, eltwise struct, Apf, Bpf] */
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_A_OFFS_BRGEMM_PTR, LIBXSMM_X86_GP_REG_R8 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_B_OFFS_BRGEMM_PTR, LIBXSMM_X86_GP_REG_R9 );
if (has_scf == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_INT8_SCF, temp_reg );
if (i_micro_kernel_config->fused_eltwise == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, eltwise_struct_ptr_reg );
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_9, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_10, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_9, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_9, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
}
} else {
if (i_micro_kernel_config->fused_eltwise == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, eltwise_struct_ptr_reg );
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_9, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
}
}
}
}
if (i_micro_kernel_config->fused_eltwise == 1) {
if (i_micro_kernel_config->has_colbias_act_fused == 1) {
/* TODO: Optimize this copy to operate only in used fileds form struct... */
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 0, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 8, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, temp_reg );
}
if (i_micro_kernel_config->decompress_A == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 16, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BITMAP_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 24, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_DECOMPRESS_BUF, temp_reg );
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 8, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, temp_reg );
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 32, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, temp_reg );
}
if (i_micro_kernel_config->norm_to_normT_B_ext_buf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 16, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_B, temp_reg );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_stack_frame_allocate_scratch( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config ) {
unsigned int gemm_scratch_size = 0;
unsigned int scratch_pad_size = 0;
int l_emu_amx = 0;
const char *const l_env_emu_amx = getenv("EMULATE_AMX");
if ( 0 == l_env_emu_amx ) {
} else {
l_emu_amx = atoi(l_env_emu_amx);
}
if (l_emu_amx > 0) {
int expand_scratch_factor = (i_micro_kernel_config->n_tiles == 1) ? 2 : 1;
i_micro_kernel_config->emulation_scratch_offset = expand_scratch_factor * i_xgemm_desc->n * i_xgemm_desc->ldc * 4 /*i_micro_kernel_config->datatype_size*/;
gemm_scratch_size = expand_scratch_factor * i_xgemm_desc->n * i_xgemm_desc->ldc * 4 /*i_micro_kernel_config->datatype_size*/ + 8 * 32 * 32 + 32 * 64 ;
scratch_pad_size = (gemm_scratch_size % 64 == 0) ? 0 : ((gemm_scratch_size + 63)/64) * 64 - gemm_scratch_size;
gemm_scratch_size += scratch_pad_size;
if (LIBXSMM_DATATYPE_F32 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype )) {
i_micro_kernel_config->emulation_scratch_offset = 0;
gemm_scratch_size = 8 * 32 * 32 + 32 * 64 ;
scratch_pad_size = (gemm_scratch_size % 64 == 0) ? 0 : ((gemm_scratch_size + 63)/64) * 64 - gemm_scratch_size;
gemm_scratch_size += scratch_pad_size;
}
} else {
if ((io_generated_code->arch >= LIBXSMM_X86_AVX512_SPR)) {
int expand_scratch_factor = (i_micro_kernel_config->n_tiles == 1) ? 2 : 1;
gemm_scratch_size = LIBXSMM_MAX(32*64, expand_scratch_factor * i_xgemm_desc->n * i_xgemm_desc->ldc * 4/*i_micro_kernel_config->datatype_size*/);
scratch_pad_size = (gemm_scratch_size % 64 == 0) ? 0 : ((gemm_scratch_size + 63)/64) * 64 - gemm_scratch_size;
gemm_scratch_size += scratch_pad_size;
} else {
/* Allocate scratch for stashing 32 zmms */
if ( ((LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI & i_xgemm_desc->flags) == LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI) ) {
gemm_scratch_size = 32 * 64;
scratch_pad_size = (gemm_scratch_size % 64 == 0) ? 0 : ((gemm_scratch_size + 63)/64) * 64 - gemm_scratch_size;
gemm_scratch_size += scratch_pad_size;
}
}
}
if (gemm_scratch_size > 0) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, LIBXSMM_X86_GP_REG_RSP, gemm_scratch_size );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_GEMM_SCRATCH_PTR, LIBXSMM_X86_GP_REG_RSP );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_stack_frame( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
libxsmm_micro_kernel_config* i_micro_kernel_config ) {
unsigned int temp_reg = LIBXSMM_X86_GP_REG_R10;
libxsmm_x86_instruction_push_reg( io_generated_code, LIBXSMM_X86_GP_REG_RBP );
libxsmm_x86_instruction_alu_reg( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RSP, LIBXSMM_X86_GP_REG_RBP);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, LIBXSMM_X86_GP_REG_RSP, 88 );
if ( ((LIBXSMM_GEMM_FLAG_USE_XGEMM_ABI & i_xgemm_desc->flags) == LIBXSMM_GEMM_FLAG_USE_XGEMM_ABI) ||
((LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI & i_xgemm_desc->flags) == LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI) ) {
libxsmm_generator_gemm_setup_stack_frame_fill_stack_vars_v2( io_generated_code, i_xgemm_desc, i_micro_kernel_config, i_gp_reg_mapping );
} else {
libxsmm_generator_gemm_setup_stack_frame_fill_stack_vars(io_generated_code, i_xgemm_desc, i_micro_kernel_config);
}
/* The stack now looks like this:
* 10th param (if applicable) <-- RBP+80
* 9th param (if applicable) <-- RBP+72
* 8th param (if applicable) <-- RBP+64
* 7th param (if applicable) <-- RBP+56
* Return address <-- RBP+48
* Calle SAVED-regs <-- RBP[+8,+16,+24,+32,+40]
* Entry/saved RBP <-- RBP
* prefetch A ptr <-- RBP-8
* prefetch B ptr <-- RBP-16
* Offset A array ptr <-- RBP-24
* Offset B array ptr <-- RBP-32
* Int8 scaling factor <-- RBP-40
* GEMM_scratch ptr in stack (to be filled) <-- RBP-48
* Eltwise bias ptr <-- RBP-56
* Eltwise output_ptr <-- RBP-64
* Eltwise buf1_ptr <-- RBP-72
* Eltwise buf2_ptr <-- RBP-80
* Batch-reduce count <-- RBP-88, RSP
*
*/
/* Now align RSP to 64 byte boundary */
libxsmm_x86_instruction_alu_imm_i64( io_generated_code, i_micro_kernel_config->alu_mov_instruction, temp_reg, 0xFFFFFFFFFFFFFFC0 );
libxsmm_x86_instruction_alu_reg( io_generated_code, LIBXSMM_X86_INSTR_ANDQ, temp_reg, LIBXSMM_X86_GP_REG_RSP);
/* Now alllocate in stack required GEMM scratch if necessary*/
libxsmm_generator_gemm_setup_stack_frame_allocate_scratch( io_generated_code, i_xgemm_desc, i_micro_kernel_config );
/* The stack at exit of setup looks like this:
*
* 10th param (if applicable) <-- RBP+80
* 9th param (if applicable) <-- RBP+72
* 8th param (if applicable) <-- RBP+64
* 7th param (if applicable) <-- RBP+56
* Return address <-- RBP+48
* Calle SAVED-regs <-- RBP[+8,+16,+24,+32,+40]
* Entry/saved RBP <-- RBP
* prefetch A ptr <-- RBP-8
* prefetch B ptr <-- RBP-16
* Offset A array ptr <-- RBP-24
* Offset B array ptr <-- RBP-32
* Int8 scaling factor <-- RBP-40
* GEMM_scratch ptr in stack <-- RBP-48
* Eltwise bias ptr <-- RBP-56
* Eltwise output_ptr <-- RBP-64
* Eltwise buf1_ptr <-- RBP-72
* Eltwise buf2_ptr <-- RBP-80
* Batch-reduce count <-- RBP-88, RSP
* [ Potentianl pad for 64b align ]
* GEMM scratch, 64b aligned <-- (RBP-48) contains this address
*
*/
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_destroy_stack_frame( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config ) {
LIBXSMM_UNUSED(i_xgemm_desc);
LIBXSMM_UNUSED(i_gp_reg_mapping);
libxsmm_x86_instruction_alu_reg( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RBP, LIBXSMM_X86_GP_REG_RSP);
libxsmm_x86_instruction_pop_reg( io_generated_code, LIBXSMM_X86_GP_REG_RBP );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_fusion_microkernel_properties_v2(const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config ) {
i_micro_kernel_config->fused_bcolbias = 0;
i_micro_kernel_config->fused_scolbias = 0;
i_micro_kernel_config->fused_relu = 0;
i_micro_kernel_config->fused_relu_nobitmask = 0;
i_micro_kernel_config->fused_relu_bwd = 0;
i_micro_kernel_config->fused_sigmoid = 0;
i_micro_kernel_config->overwrite_C = 1;
i_micro_kernel_config->vnni_format_C = 0;
i_micro_kernel_config->decompress_A = 0;
i_micro_kernel_config->sparsity_factor_A = 1;
i_micro_kernel_config->vnni_cvt_output_ext_buf = 0;
i_micro_kernel_config->norm_to_normT_B_ext_buf = 0;
i_micro_kernel_config->stride_b_trans = 0;
i_micro_kernel_config->fused_eltwise = 0;
i_micro_kernel_config->has_colbias_act_fused = 0;
if ( ((LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI & i_xgemm_desc->flags) == LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI) ) {
i_micro_kernel_config->overwrite_C = ((i_xgemm_desc->internal_flags_2 & 0x4) > 0) ? 0 : 1;
if (i_xgemm_desc->eltw_cp_op == LIBXSMM_MELTW_OPERATION_UNARY) {
if (i_xgemm_desc->eltw_cp_param == LIBXSMM_MELTW_TYPE_UNARY_RELU) {
i_micro_kernel_config->has_colbias_act_fused = 1;
if ((i_xgemm_desc->eltw_cp_flags & LIBXSMM_MELTW_FLAG_UNARY_BITMASK_2BYTEMULT) > 0){
i_micro_kernel_config->fused_relu = 1;
} else {
i_micro_kernel_config->fused_relu_nobitmask = 1;
}
}
if (i_xgemm_desc->eltw_cp_param == LIBXSMM_MELTW_TYPE_UNARY_SIGMOID) {
i_micro_kernel_config->has_colbias_act_fused = 1;
i_micro_kernel_config->fused_sigmoid = 1;
}
if (i_xgemm_desc->eltw_cp_param == LIBXSMM_MELTW_TYPE_UNARY_TRANSFORM_NORM_TO_VNNI) {
i_micro_kernel_config->vnni_format_C = 1;
if (i_micro_kernel_config->overwrite_C == 0) {
i_micro_kernel_config->vnni_cvt_output_ext_buf = 1;
}
}
if (i_xgemm_desc->eltw_cp_param == LIBXSMM_MELTW_TYPE_UNARY_RELU_INV) {
i_micro_kernel_config->has_colbias_act_fused = 1;
i_micro_kernel_config->fused_relu_bwd = 1;
}
}
if (i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_BINARY) {
if (i_xgemm_desc->meltw_param == LIBXSMM_MELTW_TYPE_BINARY_ADD) {
if (((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_BINARY_BCAST_COL_IN_0) > 0 ) ||
((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_BINARY_BCAST_COL_IN_1) > 0 )) {
i_micro_kernel_config->has_colbias_act_fused = 1;
if (i_xgemm_desc->meltw_datatype_aux == LIBXSMM_DATATYPE_BF16) {
i_micro_kernel_config->fused_bcolbias = 1;
}
if (i_xgemm_desc->meltw_datatype_aux == LIBXSMM_DATATYPE_F32) {
i_micro_kernel_config->fused_scolbias = 1;
}
}
}
}
if (i_xgemm_desc->eltw_ap_op == LIBXSMM_MELTW_OPERATION_UNARY) {
if ((i_xgemm_desc->internal_flags_2 & 0x1) > 0){
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_1) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 1;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_2) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 2;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_4) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 4;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_8) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 8;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_16) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 16;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_32) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 32;
}
}
}
if (i_xgemm_desc->eltw_bp_op == LIBXSMM_MELTW_OPERATION_UNARY) {
if (i_xgemm_desc->eltw_bp_param == LIBXSMM_MELTW_TYPE_UNARY_TRANSFORM_NORM_TO_NORMT) {
if ((i_xgemm_desc->internal_flags_2 & 0x2) > 0){
i_micro_kernel_config->norm_to_normT_B_ext_buf = 1;
i_micro_kernel_config->stride_b_trans = i_xgemm_desc->ldbp;
}
}
}
i_micro_kernel_config->fused_eltwise = (i_micro_kernel_config->has_colbias_act_fused == 1) ? 1: 0;
if (i_micro_kernel_config->decompress_A == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->norm_to_normT_B_ext_buf == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_fusion_microkernel_properties(const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config ) {
i_micro_kernel_config->fused_bcolbias = 0;
i_micro_kernel_config->fused_scolbias = 0;
i_micro_kernel_config->fused_relu = 0;
i_micro_kernel_config->fused_relu_nobitmask = 0;
i_micro_kernel_config->fused_relu_bwd = 0;
i_micro_kernel_config->fused_sigmoid = 0;
i_micro_kernel_config->overwrite_C = 0;
i_micro_kernel_config->vnni_format_C = 0;
i_micro_kernel_config->decompress_A = 0;
i_micro_kernel_config->sparsity_factor_A = 1;
i_micro_kernel_config->vnni_cvt_output_ext_buf = 0;
i_micro_kernel_config->norm_to_normT_B_ext_buf = 0;
i_micro_kernel_config->stride_b_trans = 0;
i_micro_kernel_config->fused_eltwise = 0;
i_micro_kernel_config->has_colbias_act_fused = 0;
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT) ||
(i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT_DECOMPRESS_A) ||
(i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_ACT_TRANSFORM_C_NORM_TO_VNNI_EXT_BUFFER)) {
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_OVERWRITE_C) > 0) {
i_micro_kernel_config->overwrite_C = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU) > 0) {
i_micro_kernel_config->fused_relu = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU_NOBITMASK) > 0) {
i_micro_kernel_config->fused_relu_nobitmask = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU_BWD) > 0) {
i_micro_kernel_config->fused_relu_bwd = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_SIGM) > 0) {
i_micro_kernel_config->fused_sigmoid = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_COLBIAS) > 0) {
if (i_xgemm_desc->meltw_datatype_aux == LIBXSMM_DATATYPE_BF16) {
i_micro_kernel_config->fused_bcolbias = 1;
}
if (i_xgemm_desc->meltw_datatype_aux == LIBXSMM_DATATYPE_F32) {
i_micro_kernel_config->fused_scolbias = 1;
}
}
} else {
i_micro_kernel_config->overwrite_C = 1;
i_micro_kernel_config->vnni_format_C = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_C) > 0) ? 1 : 0;
}
/* Determine if we have to decompress A... */
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_DECOMPRESS_A) || (i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT_DECOMPRESS_A)) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = i_xgemm_desc->meltw_param;
}
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT) || (i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT_DECOMPRESS_A)) {
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU_BWD) > 0) {
i_micro_kernel_config->fused_relu_bwd = 1;
}
i_micro_kernel_config->has_colbias_act_fused = 1;
if (i_xgemm_desc->meltw_flags == (unsigned int)LIBXSMM_MELTW_FLAG_NONE) {
i_micro_kernel_config->has_colbias_act_fused = 0;
}
}
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_TRANSFORM_C_NORM_TO_VNNI_EXT_BUFFER) ||
(i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_ACT_TRANSFORM_C_NORM_TO_VNNI_EXT_BUFFER)) {
i_micro_kernel_config->vnni_cvt_output_ext_buf = 1;
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU_BWD) > 0) {
i_micro_kernel_config->fused_relu_bwd = 1;
}
}
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_TRANSFORM_B_NORM_TO_NORMT_EXT_BUFFER) ||
(i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT_TRANSFORM_B_NORM_TO_NORMT_EXT_BUFFER)) {
i_micro_kernel_config->norm_to_normT_B_ext_buf = 1;
}
i_micro_kernel_config->fused_eltwise = (i_micro_kernel_config->has_colbias_act_fused == 1) ? 1: 0;
if (i_micro_kernel_config->decompress_A == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->norm_to_normT_B_ext_buf == 1) {
i_micro_kernel_config->fused_eltwise = 1;
i_micro_kernel_config->stride_b_trans = i_xgemm_desc->meltw_ldy;
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
}
LIBXSMM_API_INTERN
int libxsmm_generator_gemm_get_rbp_relative_offset( libxsmm_gemm_stack_var stack_var ) {
/* The stack at exit of setup looks like this:
*
* 10th param (if applicable) <-- RBP+40
* 9th param (if applicable) <-- RBP+32
* 8th param (if applicable) <-- RBP+24
* 7th param (if applicable) <-- RBP+16
* Return address <-- RBP+8
* Entry/saved RBP <-- RBP
* prefetch A ptr <-- RBP-8
* prefetch B ptr <-- RBP-16
* Offset A array ptr <-- RBP-24
* Offset B array ptr <-- RBP-32
* Int8 scaling factor <-- RBP-40
* GEMM_scratch ptr in stack (to be filled) <-- RBP-48
* Eltwise bias ptr <-- RBP-56
* Eltwise output_ptr <-- RBP-64
* Eltwise buf1_ptr <-- RBP-72
* Eltwise buf2_ptr <-- RBP-80
* Batch-reduce count <-- RBP-88
* */
switch ( stack_var ) {
case LIBXSMM_GEMM_STACK_VAR_NONE:
return 0;
case LIBXSMM_GEMM_STACK_VAR_PFA_PTR:
return -8;
case LIBXSMM_GEMM_STACK_VAR_PFB_PTR:
return -16;
case LIBXSMM_GEMM_STACK_VAR_A_OFFS_BRGEMM_PTR:
return -24;
case LIBXSMM_GEMM_STACK_VAR_B_OFFS_BRGEMM_PTR:
return -32;
case LIBXSMM_GEMM_STACK_VAR_INT8_SCF:
return -40;
case LIBXSMM_GEMM_STACK_VAR_GEMM_SCRATCH_PTR:
return -48;
case LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR:
return -56;
case LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR:
return -64;
case LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR:
return -72;
case LIBXSMM_GEMM_STACK_VAR_ELT_BUF1:
return -72;
case LIBXSMM_GEMM_STACK_VAR_ELT_BUF2:
return -80;
case LIBXSMM_GEMM_STACK_VAR_BRCOUNT:
return -88;
case LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_B:
return -72;
case LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_C:
return -80;
case LIBXSMM_GEMM_STACK_VAR_ELT_BITMAP_PTR:
return -72;
case LIBXSMM_GEMM_STACK_VAR_ELT_DECOMPRESS_BUF:
return -80;
case LIBXSMM_GEMM_STACK_VAR_ARG_7:
return 56;
case LIBXSMM_GEMM_STACK_VAR_ARG_8:
return 64;
case LIBXSMM_GEMM_STACK_VAR_ARG_9:
return 72;
case LIBXSMM_GEMM_STACK_VAR_ARG_10:
return 80;
default:
return 0;
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_getval_stack_var( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_gemm_stack_var stack_var,
unsigned int i_gp_reg ) {
int offset = libxsmm_generator_gemm_get_rbp_relative_offset(stack_var);
/* make sure we requested a legal stack var */
if (offset == 0) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_GENERAL );
return;
}
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RBP, LIBXSMM_X86_GP_REG_UNDEF, 0, offset, i_gp_reg, 0 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setval_stack_var( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_gemm_stack_var stack_var,
unsigned int i_gp_reg ) {
int offset = libxsmm_generator_gemm_get_rbp_relative_offset(stack_var);
/* make sure we requested to set a legal stack var */
if (offset >= 0) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_GENERAL );
return;
}
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RBP, LIBXSMM_X86_GP_REG_UNDEF, 0, offset, i_gp_reg, 1 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_init_micro_kernel_config_fullvector( libxsmm_micro_kernel_config* io_micro_kernel_config,
const unsigned int i_arch,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_use_masking_a_c ) {
memset(io_micro_kernel_config, 0, sizeof(*io_micro_kernel_config)); /* avoid warning "maybe used uninitialized" */
libxsmm_generator_gemm_setup_fusion_microkernel_properties_v2(i_xgemm_desc, io_micro_kernel_config);
if ( (i_arch <= LIBXSMM_TARGET_ARCH_GENERIC) || (i_arch > LIBXSMM_X86_ALLFEAT) ) {
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
} else if ( i_arch <= LIBXSMM_X86_SSE42 ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 2;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPD;
}
if ( i_arch == LIBXSMM_X86_GENERIC ) {
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_SHUFPD;
} else {
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVDDUP;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVAPD;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULPD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDPD;
} else {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_SHUFPS;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVAPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPS;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULPS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDPS;
}
} else if ( i_arch <= LIBXSMM_X86_AVX2 ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'y';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPD;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
}
} else {
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPS;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
}
}
} else if ( i_arch < LIBXSMM_X86_AVX512) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 32;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'y';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else if ( LIBXSMM_DATATYPE_F32 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else if ( LIBXSMM_DATATYPE_I16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_I16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPWSSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 1;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPBUSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) &&
((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_A) > 0) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VDPBF16PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else if ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) &&
((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_A) == 0) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 2;
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTW;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
/* shouldn't happen as we caught this case earlier */
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else if ( i_arch <= LIBXSMM_X86_ALLFEAT ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 32;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'z';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else if ( LIBXSMM_DATATYPE_F32 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else if ( LIBXSMM_DATATYPE_I16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_I16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPWSSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 1;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPBUSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) &&
((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_A) > 0) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VDPBF16PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else if ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) &&
((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_A) == 0) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 2;
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTW;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
/* shouldn't happen as we caught this case earlier */
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else {
/* that should no happen */
}
io_micro_kernel_config->prefetch_instruction = LIBXSMM_X86_INSTR_PREFETCHT1;
io_micro_kernel_config->alu_add_instruction = LIBXSMM_X86_INSTR_ADDQ;
io_micro_kernel_config->alu_sub_instruction = LIBXSMM_X86_INSTR_SUBQ;
io_micro_kernel_config->alu_cmp_instruction = LIBXSMM_X86_INSTR_CMPQ;
io_micro_kernel_config->alu_jmp_instruction = LIBXSMM_X86_INSTR_JL;
io_micro_kernel_config->alu_mov_instruction = LIBXSMM_X86_INSTR_MOVQ;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_init_micro_kernel_config_halfvector( libxsmm_micro_kernel_config* io_micro_kernel_config,
const unsigned int i_arch,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_use_masking_a_c ) {
libxsmm_generator_gemm_setup_fusion_microkernel_properties_v2(i_xgemm_desc, io_micro_kernel_config);
if ( (i_arch <= LIBXSMM_TARGET_ARCH_GENERIC) || (i_arch > LIBXSMM_X86_ALLFEAT) ) {
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
} else if ( i_arch <= LIBXSMM_X86_SSE42 ) {
#if !defined(NDEBUG)
fprintf(stderr, "LIBXSMM WARNING, libxsmm_generator_gemm_init_micro_kernel_config_halfvector, redirecting to scalar, please fix the generation code!!!\n");
#endif
libxsmm_generator_gemm_init_micro_kernel_config_scalar( io_micro_kernel_config, i_arch, i_xgemm_desc, i_use_masking_a_c );
} else if ( i_arch <= LIBXSMM_X86_AVX2 ) {
io_micro_kernel_config->instruction_set = LIBXSMM_X86_AVX;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 2;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VMOVDDUP;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPD;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPS;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
}
} else if ( i_arch <= LIBXSMM_X86_ALLFEAT ) {
#if !defined(NDEBUG)
fprintf(stderr, "LIBXSMM WARNING, libxsmm_generator_gemm_init_micro_kernel_config_halfvector, AVX512 redirecting to fullvector!\n");
#endif
libxsmm_generator_gemm_init_micro_kernel_config_fullvector( io_micro_kernel_config, i_arch, i_xgemm_desc, i_use_masking_a_c );
} else {
/* should not happen */
}
io_micro_kernel_config->prefetch_instruction = LIBXSMM_X86_INSTR_PREFETCHT1;
io_micro_kernel_config->alu_add_instruction = LIBXSMM_X86_INSTR_ADDQ;
io_micro_kernel_config->alu_sub_instruction = LIBXSMM_X86_INSTR_SUBQ;
io_micro_kernel_config->alu_cmp_instruction = LIBXSMM_X86_INSTR_CMPQ;
io_micro_kernel_config->alu_jmp_instruction = LIBXSMM_X86_INSTR_JL;
io_micro_kernel_config->alu_mov_instruction = LIBXSMM_X86_INSTR_MOVQ;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_init_micro_kernel_config_scalar( libxsmm_micro_kernel_config* io_micro_kernel_config,
const unsigned int i_arch,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_use_masking_a_c ) {
libxsmm_generator_gemm_setup_fusion_microkernel_properties_v2(i_xgemm_desc, io_micro_kernel_config);
if ( ( i_arch <= LIBXSMM_TARGET_ARCH_GENERIC ) || ( i_arch > LIBXSMM_X86_ALLFEAT ) ) {
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
} else if ( i_arch <= LIBXSMM_X86_SSE42 ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDSD;
} else {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPS;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULSS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDSS;
}
} else if ( i_arch <= LIBXSMM_X86_ALLFEAT ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPD;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDSD;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231SD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPS;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULSS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDSS;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231SS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
}
} else {
/* should not happen */
}
io_micro_kernel_config->prefetch_instruction = LIBXSMM_X86_INSTR_PREFETCHT1;
io_micro_kernel_config->alu_add_instruction = LIBXSMM_X86_INSTR_ADDQ;
io_micro_kernel_config->alu_sub_instruction = LIBXSMM_X86_INSTR_SUBQ;
io_micro_kernel_config->alu_cmp_instruction = LIBXSMM_X86_INSTR_CMPQ;
io_micro_kernel_config->alu_jmp_instruction = LIBXSMM_X86_INSTR_JL;
io_micro_kernel_config->alu_mov_instruction = LIBXSMM_X86_INSTR_MOVQ;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_add_flop_counter( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc ) {
if ( io_generated_code->code_type == 0 ) {
char l_new_code[512];
const unsigned int l_max_code_length = sizeof(l_new_code) - 1;
int l_code_length = 0;
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#ifndef NDEBUG\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#ifdef _OPENMP\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#pragma omp atomic\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#endif\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "libxsmm_num_total_flops += %u;\n", 2u * i_xgemm_desc->m * i_xgemm_desc->n * i_xgemm_desc->k);
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#endif\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_kloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int i_m_blocking,
const unsigned int i_k_blocking ) {
LIBXSMM_UNUSED(i_m_blocking);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_kloop, 0);
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_kloop, i_k_blocking);
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_kloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_max_blocked_k,
const unsigned int i_kloop_complete ) {
LIBXSMM_UNUSED(i_m_blocking);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_kloop, i_max_blocked_k );
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
if ( i_kloop_complete != 0 ) {
int l_b_offset = 0;
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) > 0 ) {
l_b_offset = i_xgemm_desc->ldb * i_xgemm_desc->k * i_micro_kernel_config->datatype_size_in;
} else {
l_b_offset = i_xgemm_desc->k * i_micro_kernel_config->datatype_size_in;
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_b, l_b_offset );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_reduceloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_reduce_loop, 0);
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_reduceloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc) {
LIBXSMM_UNUSED(i_xgemm_desc);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_reduce_loop, 1);
libxsmm_x86_instruction_alu_reg( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_reduce_count, i_gp_reg_mapping->gp_reg_reduce_loop);
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_nloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int i_n_init,
const unsigned int i_n_blocking) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_nloop, i_n_init );
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_nloop, i_n_blocking );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_nloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_n_blocking,
const unsigned int i_n_done ) {
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
if (i_micro_kernel_config->vnni_format_C == 0) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)*2 /*(i_micro_kernel_config->datatype_size/2)*/) - ((i_xgemm_desc->m) * 2 /*(i_micro_kernel_config->datatype_size/2)*/) );
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)*2 /*(i_micro_kernel_config->datatype_size/2)*/) - ((i_xgemm_desc->m) * 2 * 2 /*(i_micro_kernel_config->datatype_size/2)*/) );
}
} else if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)/**(i_micro_kernel_config->datatype_size/4)*/) - ((i_xgemm_desc->m) /** (i_micro_kernel_config->datatype_size/4)*/) );
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)*(i_micro_kernel_config->datatype_size_out)) - ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_out)) );
}
/* Also adjust eltwise pointers */
if ((i_micro_kernel_config->fused_relu == 1) || (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) || (i_micro_kernel_config->fused_relu_bwd == 1) || (i_micro_kernel_config->fused_bcolbias == 1) || (i_micro_kernel_config->fused_scolbias == 1) || (i_micro_kernel_config->overwrite_C == 0)) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
if ((i_micro_kernel_config->fused_relu == 1) && (i_micro_kernel_config->overwrite_C == 1) ) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, (i_n_blocking*i_xgemm_desc->ldc)/8 - ((i_xgemm_desc->m/8) ) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, (i_n_blocking*(i_xgemm_desc->ldc)*2/*(i_micro_kernel_config->datatype_size/2)*/) - ((i_xgemm_desc->m) * 2 * 2 /*(i_micro_kernel_config->datatype_size/2)*/) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, (i_n_blocking*i_xgemm_desc->ldc)/8 - ((i_xgemm_desc->m/8) ) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
/* In this case also advance the output ptr */
if (i_micro_kernel_config->overwrite_C == 0) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, (i_n_blocking*(i_xgemm_desc->ldc)*2/*(i_micro_kernel_config->datatype_size/2)*/) - ((i_xgemm_desc->m) * 2 /*(i_micro_kernel_config->datatype_size/2)*/) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_bcolbias == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, -( i_xgemm_desc->m * 2/*(i_micro_kernel_config->datatype_size/2)*/) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_scolbias == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, -( i_xgemm_desc->m * 4/*i_micro_kernel_config->datatype_size*/) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if ((i_micro_kernel_config->fused_relu == 1) || (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) || (i_micro_kernel_config->fused_relu_bwd == 1) || (i_micro_kernel_config->fused_bcolbias == 1) || (i_micro_kernel_config->fused_scolbias == 1) || (i_micro_kernel_config->overwrite_C == 0)) {
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
/* B prefetch */
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ) {
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) == 0 ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_b_prefetch,
(i_n_blocking*(i_xgemm_desc->ldc)*i_micro_kernel_config->datatype_size_in) - ((i_xgemm_desc->m)*i_micro_kernel_config->datatype_size_in) );
}
}
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c_prefetch,
(i_n_blocking*(i_xgemm_desc->ldc)*(i_micro_kernel_config->datatype_size_out)) - ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_out)) );
}
#endif
if (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) {
/* handle trans B */
int l_b_offset = 0;
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) > 0 ) {
l_b_offset = i_n_blocking * i_micro_kernel_config->datatype_size_in;
} else {
l_b_offset = i_n_blocking * i_xgemm_desc->ldb * i_micro_kernel_config->datatype_size_in;
}
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_generator_gemm_header_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_help_0, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_in)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_b,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_help_0, l_b_offset );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_b,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_help_0, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_in)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
}
libxsmm_generator_gemm_footer_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config, i_xgemm_desc);
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
} else {
/* handle trans B */
int l_b_offset = 0;
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) > 0 ) {
l_b_offset = i_n_blocking * i_micro_kernel_config->datatype_size_in;
} else {
l_b_offset = i_n_blocking * i_xgemm_desc->ldb * i_micro_kernel_config->datatype_size_in;
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_b, l_b_offset );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_a, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_in)) );
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_in)) );
}
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_nloop, i_n_done );
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_mloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int i_m_init,
const unsigned int i_m_blocking ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_mloop, i_m_init );
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_mloop, i_m_blocking );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_mloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_m_done ) {
/* advance C pointer */
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_c, i_m_blocking*(i_micro_kernel_config->datatype_size_out) );
/* Also adjust eltwise pointers */
if ((i_micro_kernel_config->fused_relu == 1) || (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) || (i_micro_kernel_config->fused_relu_bwd == 1) || (i_micro_kernel_config->fused_bcolbias == 1) || (i_micro_kernel_config->fused_scolbias == 1) || (i_micro_kernel_config->overwrite_C == 0)) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
if ((i_micro_kernel_config->fused_relu == 1) && (i_micro_kernel_config->overwrite_C == 1) ) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking/8 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking*2*2/*(i_micro_kernel_config->datatype_size/2)*/ );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking/8 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->overwrite_C == 0) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking*2/*(i_micro_kernel_config->datatype_size/2)*/ );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_bcolbias == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking * 2/*(i_micro_kernel_config->datatype_size/2)*/ );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_scolbias == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking * 4 /*i_micro_kernel_config->datatype_size*/ );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if ((i_micro_kernel_config->fused_relu == 1) || (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) || (i_micro_kernel_config->fused_relu_bwd == 1) || (i_micro_kernel_config->fused_bcolbias == 1) || (i_micro_kernel_config->fused_scolbias == 1) || (i_micro_kernel_config->overwrite_C == 0)) {
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
/* C prefetch */
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_c_prefetch, i_m_blocking*(i_micro_kernel_config->datatype_size_out) );
}
#endif
/* B prefetch */
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ) {
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) == 0 ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_b_prefetch, i_m_blocking*i_micro_kernel_config->datatype_size_in );
}
}
/* A prefetch */
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C) {
if (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) {
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_generator_gemm_header_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_help_0,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size_in) * (i_xgemm_desc->lda) ) -
(i_m_blocking * (i_micro_kernel_config->datatype_size_in)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
libxsmm_generator_gemm_footer_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config, i_xgemm_desc);
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_a_prefetch,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size_in) * (i_xgemm_desc->lda) ) -
(i_m_blocking * (i_micro_kernel_config->datatype_size_in)) );
}
}
/* advance A pointer */
if (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_generator_gemm_header_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_help_0,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size_in) * (i_xgemm_desc->lda) ) - (i_m_blocking * (i_micro_kernel_config->datatype_size_in)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
libxsmm_generator_gemm_footer_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config, i_xgemm_desc);
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_a,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size_in) * (i_xgemm_desc->lda) ) - (i_m_blocking * (i_micro_kernel_config->datatype_size_in)) );
}
/* loop handling */
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_mloop, i_m_done );
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_load_C( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_n_blocking ) {
unsigned int l_m_blocking, l_vec_reg_acc_start;
/* register blocking counter in n */
unsigned int l_n = 0;
/* register blocking counter in m */
unsigned int l_m = 0;
assert(0 < i_micro_kernel_config->vector_length);
/* deriving register blocking from kernel config */
l_m_blocking = ( i_m_blocking % i_micro_kernel_config->vector_length == 0 ) ? i_m_blocking/i_micro_kernel_config->vector_length : (i_m_blocking/i_micro_kernel_config->vector_length)+1;
/* start register of accumulator */
l_vec_reg_acc_start = i_micro_kernel_config->vector_reg_count - (i_n_blocking * l_m_blocking);
#if !defined(NDEBUG)
/* Do some test if it is possible to generate the requested code.
This is not done in release mode and therefore bad
things might happen.... HUAAH */
if (i_micro_kernel_config->instruction_set == LIBXSMM_X86_GENERIC ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE3 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE42 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX2 ) {
if ( (i_n_blocking > 3) || (i_n_blocking < 1) || (i_m_blocking < 1) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256 ||i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX
||i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX) {
if ( (i_n_blocking > 28) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 8) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512_CORE ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (l_m_blocking != 1) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 6) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else {}
#if 0
if ( i_m_blocking % i_micro_kernel_config->vector_length != 0 ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_M_BLOCK );
return;
}
#endif
#endif /*!defined(NDEBUG)*/
/* load C accumulator */
if (0 == (LIBXSMM_GEMM_FLAG_BETA_0 & i_xgemm_desc->flags)) { /* Beta=1 */
/* pure BF16 kernel */
if ( ( ((i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE) && (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT)) ||
((i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ))
) && ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* we add when scaling during conversion to FP32 */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* load 16 bit values into xmm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
0, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'x' : 'y',
0, 0, 1, 0 );
}
/* convert 16 bit values into 32 bit (integer convert) */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXWD,
i_micro_kernel_config->vector_name,
0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
/* shift 16 bits to the left to generate valid FP32 numbers */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSLLD_I,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
16);
}
}
/* Check if we have to add bias */
if (i_micro_kernel_config->fused_bcolbias == 1) {
libxsmm_generator_gemm_add_colbias_to_2D_block( io_generated_code, i_gp_reg_mapping, i_micro_kernel_config,
LIBXSMM_DATATYPE_BF16, l_vec_reg_acc_start, l_m_blocking, i_n_blocking );
}
/* pure int8 kernel */
} else if ( ( ((i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE) && (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT)) ||
((i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) )
) &&
( (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* we need to up convert int8 to int32 */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* load 16 bit values into xmm portion of the register*/
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU8,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
0, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
'x',
0, 0, 1, 0 );
}
/* convert 8 bit values into 32 bit (integer convert) */
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_C_UNSIGNED) != 0 ) {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVZXBD,
i_micro_kernel_config->vector_name,
0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
} else {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXBD,
i_micro_kernel_config->vector_name,
0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
}
}
} else {
/* adding to C, so let's load C */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* we only mask the last m-blocked load */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 1, 0 );
}
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
for (l_m = 0; l_m < l_m_blocking; l_m += l_m++ ) {
libxsmm_x86_instruction_prefetch( io_generated_code,
i_micro_kernel_config->prefetch_instruction,
i_gp_reg_mapping->gp_reg_c_prefetch,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out));
}
}
#endif
}
/* Check if we have to add bias */
if (i_micro_kernel_config->fused_scolbias == 1) {
libxsmm_generator_gemm_add_colbias_to_2D_block( io_generated_code, i_gp_reg_mapping, i_micro_kernel_config,
LIBXSMM_DATATYPE_F32, l_vec_reg_acc_start, l_m_blocking, i_n_blocking );
}
}
} else {
if (i_micro_kernel_config->fused_scolbias == 1) {
libxsmm_generator_gemm_load_colbias_to_2D_block( io_generated_code, i_gp_reg_mapping, i_micro_kernel_config,
LIBXSMM_DATATYPE_F32, l_vec_reg_acc_start, l_m_blocking, i_n_blocking );
} else if (i_micro_kernel_config->fused_bcolbias == 1) {
libxsmm_generator_gemm_load_colbias_to_2D_block( io_generated_code, i_gp_reg_mapping, i_micro_kernel_config,
LIBXSMM_DATATYPE_BF16, l_vec_reg_acc_start, l_m_blocking, i_n_blocking );
} else {
/* overwriting C, so let's xout accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* @TODO: cannot migrate to new encoder as this is also SSE */
if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) && LIBXSMM_DATATYPE_I32 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype )){
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), 0, 1, 0 );
} else {
if ( io_generated_code->arch >= LIBXSMM_X86_AVX ) {
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
} else {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
}
}
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
for (l_m = 0; l_m < l_m_blocking; l_m += l_m++ ) {
libxsmm_x86_instruction_prefetch( io_generated_code,
i_micro_kernel_config->prefetch_instruction,
i_gp_reg_mapping->gp_reg_c_prefetch,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out));
}
}
#endif
}
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_store_C( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_n_blocking )
{
/* deriving register blocking from kernel config */
unsigned int l_m_blocking = ( i_m_blocking % i_micro_kernel_config->vector_length == 0 ) ? i_m_blocking/i_micro_kernel_config->vector_length : (i_m_blocking/i_micro_kernel_config->vector_length)+1;
/* register blocking counter in n */
unsigned int l_n = 0;
/* register blocking counter in m */
unsigned int l_m = 0;
/* start register of accumulator */
unsigned int l_vec_reg_acc_start = i_micro_kernel_config->vector_reg_count - (i_n_blocking * l_m_blocking);
/* select store instruction */
unsigned int l_vstore = (LIBXSMM_GEMM_FLAG_ALIGN_C_NTS_HINT == (LIBXSMM_GEMM_FLAG_ALIGN_C_NTS_HINT & i_xgemm_desc->flags)) ? i_micro_kernel_config->c_vmove_nts_instruction : i_micro_kernel_config->c_vmove_instruction;
libxsmm_micro_kernel_config l_micro_kernel_config_mod;
libxsmm_micro_kernel_config *i_micro_kernel_config_mod = (libxsmm_micro_kernel_config*) &l_micro_kernel_config_mod;
memcpy(i_micro_kernel_config_mod, i_micro_kernel_config, sizeof(libxsmm_micro_kernel_config));
/* @TODO fix this test */
#if !defined(NDEBUG)
if (i_micro_kernel_config->instruction_set == LIBXSMM_X86_GENERIC ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE3 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE42 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX2 ) {
if ( (i_n_blocking > 3) || (i_n_blocking < 1) || (i_m_blocking < 1) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256 || i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX
|| i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX) {
if ( (i_n_blocking > 28) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 8) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX512_VL256 ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 6) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512_VL256 ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (i_m_blocking != i_micro_kernel_config->vector_length) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else {}
#if 0
if ( i_m_blocking % i_micro_kernel_config->vector_length != 0 ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_M_BLOCK );
return;
}
#endif
#endif
if ( ( (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_CORE) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_CLX) ||
(i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256) ) &&
( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
const unsigned int relu_bitmask_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int scratch_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int aux_gpr = i_gp_reg_mapping->gp_reg_help_1;
const unsigned int aux_vreg = 1;
const unsigned int zero_vreg = 0;
/* Check out if fusion has to be applied */
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_prepare_relu_fusion( io_generated_code, i_micro_kernel_config,
zero_vreg, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
libxsmm_generator_gemm_dump_2D_block_and_prepare_sigmoid_fusion( io_generated_code, i_micro_kernel_config_mod,
l_vec_reg_acc_start, l_m_blocking, i_n_blocking, scratch_gpr, aux_gpr);
}
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 1, aux_gpr, aux_vreg);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), tmp_vreg );
/* Store vreg back to scratch */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
scratch_gpr,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_vec_reg_acc_start + l_m + (l_m_blocking * l_n)) * 64,
i_micro_kernel_config->vector_name,
tmp_vreg, 0, 0, 1 );
}
}
}
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_cleanup_relu_fusion( io_generated_code, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
/* Restore accumulators from scratch */
libxsmm_generator_gemm_restore_2D_regblock_from_scratch( io_generated_code, i_micro_kernel_config,
scratch_gpr, l_vec_reg_acc_start, l_m_blocking, i_n_blocking);
libxsmm_generator_gemm_cleanup_sigmoid_fusion( io_generated_code, scratch_gpr, aux_gpr );
}
/* init stack with helper variables for SW-based RNE rounding */
/* push 0x7f800000 on the stack, naninf masking */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x7f800000);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* push 0x00010000 on the stack, fixup masking */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x00010000);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* push 0x00007fff on the stack, rneadd */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x00007fff);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* push 0x00000001 on the stack, fixup */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x00000001);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* storing downconverted and rounded C accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
/* and with naninf */
libxsmm_x86_instruction_vec_compute_mem_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPANDD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
24, 1,
reg_X,
0 );
/* and with fixup */
libxsmm_x86_instruction_vec_compute_mem_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPANDD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
16, 1,
reg_X,
1 );
/* compute naninf mask k7 */
libxsmm_x86_instruction_vec_compute_mem_2reg_imm8( io_generated_code,
LIBXSMM_X86_INSTR_VPCMPD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
24,
1,
0,
7,
4 );
/* compute fixup mask k6 */
libxsmm_x86_instruction_vec_compute_mem_2reg_imm8( io_generated_code,
LIBXSMM_X86_INSTR_VPCMPD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
16,
1,
1,
6,
0 );
/* load rneadd */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VBROADCASTSS,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF, 0,
8,
i_micro_kernel_config->vector_name,
0, 0, 1, 0 );
/* load fixup */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VBROADCASTSS,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF, 0,
0,
i_micro_kernel_config->vector_name,
1, 0, 1, 0 );
/* compute fixup */
libxsmm_x86_instruction_vec_compute_3reg_mask( io_generated_code,
LIBXSMM_X86_INSTR_VPADDD,
i_micro_kernel_config->vector_name,
1,
0,
0,
6,
0 );
/* compute fixup */
libxsmm_x86_instruction_vec_compute_3reg_mask( io_generated_code,
LIBXSMM_X86_INSTR_VPADDD,
i_micro_kernel_config->vector_name,
0,
reg_X,
reg_X,
7,
0 );
/* shift FP32 by 16bit to right */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSRAD_I,
i_micro_kernel_config->vector_name,
reg_X,
reg_X,
16);
/* shift FP32 by 16bit to right */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVDW,
i_micro_kernel_config->vector_name,
reg_X,
0 );
/* store 16 bit values into xmm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX) ) ? 'y' : 'z',
0, 2, 0, 1 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX) ) ? 'x' : 'y',
0, 0, 0, 1 );
}
}
}
/* clean stack and restore help5 */
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
} else if ( ( (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT)
&& ((i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CPX) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX))
) &&
( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) )
) {
const unsigned int relu_bitmask_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int scratch_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int aux_gpr = i_gp_reg_mapping->gp_reg_help_1;
const unsigned int zero_vreg = 1;
const unsigned int aux_vreg = 2;
/* storing downconverted and rounded C accumulator */
/* Check out if fusion has to be applied */
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_prepare_relu_fusion( io_generated_code, i_micro_kernel_config,
zero_vreg, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
/* First dump the accumulators to scratch and then setup sigmoid coeffcients to be reused */
libxsmm_generator_gemm_dump_2D_block_and_prepare_sigmoid_fusion( io_generated_code, i_micro_kernel_config_mod,
l_vec_reg_acc_start, l_m_blocking, i_n_blocking, scratch_gpr, aux_gpr);
}
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
unsigned int l_m_2_blocking = (l_m_blocking/2)*2;
l_m = 0;
if ( i_micro_kernel_config->use_masking_a_c != 0 ) {
for ( l_m = 0 ; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, reg_X, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 1, aux_gpr, aux_vreg);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X, tmp_vreg );
reg_X = tmp_vreg;
}
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTNEPS2BF16,
i_micro_kernel_config->vector_name,
reg_X, 0 );
/* store 16 bit values into ymm portion of the register bfloat mask fix can lead to errors x should not be masked */
if ( l_m == (l_m_blocking - 1) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX ) ? 'y' : 'z',
0, 2, 0, 1 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX ) ? 'x' : 'y',
0, 0, 0, 1 );
}
}
} else {
for (; l_m < l_m_2_blocking; l_m+=2 ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
unsigned int reg_X2 = l_vec_reg_acc_start + l_m+1 + (l_m_blocking * l_n);
if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
unsigned int tmp_vreg2 = 1;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X, tmp_vreg );
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X2, tmp_vreg2 );
reg_X = tmp_vreg;
reg_X2 = tmp_vreg2;
}
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTNE2PS2BF16,
i_micro_kernel_config->vector_name,
reg_X, reg_X2, 0 );
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, 0, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 0, aux_gpr, aux_vreg);
}
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX ) ? 'y' : 'z',
0, 0, 0, 1 );
}
for (; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, reg_X, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 1, aux_gpr, aux_vreg);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X, tmp_vreg );
reg_X = tmp_vreg;
}
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTNEPS2BF16,
i_micro_kernel_config->vector_name,
reg_X, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX ) ? 'x' : 'y',
0, 0, 0, 1 );
}
}
}
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_cleanup_relu_fusion( io_generated_code, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
libxsmm_generator_gemm_cleanup_sigmoid_fusion( io_generated_code, scratch_gpr, aux_gpr );
}
} else if ( ( (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT) && (i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_VL256) ) &&
( (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* pick the right instrucitons */
unsigned int inst_f32_i32 = ( ( i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_C_UNSIGNED ) != 0 ) ? LIBXSMM_X86_INSTR_VCVTPS2UDQ : LIBXSMM_X86_INSTR_VCVTPS2DQ;
unsigned int inst_i32_i8 = ( ( i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_C_UNSIGNED ) != 0 ) ? LIBXSMM_X86_INSTR_VPMOVUSDB : LIBXSMM_X86_INSTR_VPMOVSDB;
/* there are case where we need to load the scaling factor's address from the stack argument list */
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_OFFSET) != 0 ) {
libxsmm_x86_instruction_load_arg_to_reg( io_generated_code, 0, i_gp_reg_mapping->gp_reg_scf );
}
/* loading scf into register 3 */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VBROADCASTSS,
i_gp_reg_mapping->gp_reg_scf,
LIBXSMM_X86_GP_REG_UNDEF, 0, 0,
i_micro_kernel_config->vector_name,
3, 0, 1, 0 );
/* Zero out register 0 to perform relu */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
0,
0,
0);
/* storing downconverted and rounded C accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
/* Convert result to F32 */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTDQ2PS,
i_micro_kernel_config->vector_name,
reg_X,
reg_X );
/* Multiply with scaling factor */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
LIBXSMM_X86_INSTR_VMULPS,
i_micro_kernel_config->vector_name,
reg_X,
3,
reg_X );
/* Perform RELU */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
LIBXSMM_X86_INSTR_VMAXPS,
i_micro_kernel_config->vector_name,
reg_X,
0,
reg_X);
/* Round result to int32 */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
inst_f32_i32,
i_micro_kernel_config->vector_name,
reg_X, reg_X );
/* down-convert to int8 */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
inst_i32_i8,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
i_micro_kernel_config->vector_name,
reg_X, ( ( l_m == (l_m_blocking - 1)) && ( i_micro_kernel_config->use_masking_a_c != 0 ) ) ? 2 : 0, 0, 1 );
}
}
} else {
/* storing C accumulator */
const unsigned int relu_bitmask_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int scratch_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int aux_gpr = i_gp_reg_mapping->gp_reg_help_1;
const unsigned int zero_vreg = 0;
const unsigned int aux_vreg = 1;
/* Check out if fusion has to be applied */
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_prepare_relu_fusion( io_generated_code, i_micro_kernel_config,
zero_vreg, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
libxsmm_generator_gemm_dump_2D_block_and_prepare_sigmoid_fusion( io_generated_code, i_micro_kernel_config_mod,
l_vec_reg_acc_start, l_m_blocking, i_n_blocking, scratch_gpr, aux_gpr);
}
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, reg_X, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 1, aux_gpr, aux_vreg);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X, tmp_vreg );
reg_X = tmp_vreg;
}
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
i_micro_kernel_config->vector_name,
reg_X, ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 0, 1 );
}
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ) {
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) == 0 ) {
/* determining how many prefetches we need in M direction as we just need one prefetch per cache line */
unsigned int l_m_advance = 64 / ((i_micro_kernel_config->vector_length) * (i_micro_kernel_config->datatype_size_out)); /* 64: hardcoded cache line length */
for (l_m = 0; l_m < l_m_blocking; l_m += l_m_advance ) {
libxsmm_x86_instruction_prefetch( io_generated_code,
i_micro_kernel_config->prefetch_instruction,
i_gp_reg_mapping->gp_reg_b_prefetch,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out));
}
}
}
}
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_cleanup_relu_fusion( io_generated_code, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr );
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
libxsmm_generator_gemm_cleanup_sigmoid_fusion( io_generated_code, scratch_gpr, aux_gpr );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_initialize_avx512_mask( libxsmm_generated_code* io_generated_code,
const unsigned int i_gp_reg_tmp,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_mask_count ) {
unsigned int l_mask;
/* init full mask */
if( ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype)) &&
((io_generated_code->arch == LIBXSMM_X86_AVX512_VL256 )|| (io_generated_code->arch == LIBXSMM_X86_AVX512_VL256_CPX )||
(io_generated_code->arch == LIBXSMM_X86_AVX512_VL256_CLX )) ){
l_mask = 0xf;
} else if ( ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) ||
((io_generated_code->arch == LIBXSMM_X86_AVX512_VL256 )|| (io_generated_code->arch == LIBXSMM_X86_AVX512_VL256_CPX )||
(io_generated_code->arch == LIBXSMM_X86_AVX512_VL256_CLX )) ){
l_mask = 0xff;
} else {
l_mask = 0xffff;
}
/* shift right by "inverse" remainder */
l_mask = l_mask >> i_mask_count;
/* move mask to GP register */
libxsmm_x86_instruction_alu_imm( io_generated_code,
LIBXSMM_X86_INSTR_MOVQ,
i_gp_reg_tmp,
l_mask );
if ( ( io_generated_code->arch >= LIBXSMM_X86_AVX512_VL256 ) && ( io_generated_code->arch <= LIBXSMM_X86_ALLFEAT ) ) {
libxsmm_x86_instruction_mask_move( io_generated_code,
LIBXSMM_X86_INSTR_KMOVW_GPR_LD,
i_gp_reg_tmp,
LIBXSMM_X86_AVX512_MASK );
if ( ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) {
libxsmm_x86_instruction_mask_move( io_generated_code,
LIBXSMM_X86_INSTR_KMOVD_GPR_LD,
i_gp_reg_tmp,
2 );
} else if ( ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) {
libxsmm_x86_instruction_mask_move( io_generated_code,
LIBXSMM_X86_INSTR_KMOVQ_GPR_LD,
i_gp_reg_tmp,
2 );
} else {
/* no addtional mask is needed */
}
} else {
/* shouldn't happen */
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_ARCH );
return;
}
}
|
GB_binop__first_int64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__first_int64
// A.*B function (eWiseMult): GB_AemultB__first_int64
// A*D function (colscale): GB_AxD__first_int64
// D*A function (rowscale): GB_DxB__first_int64
// C+=B function (dense accum): GB_Cdense_accumB__first_int64
// C+=b function (dense accum): GB_Cdense_accumb__first_int64
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__first_int64
// C=scalar+B GB_bind1st__first_int64
// C=scalar+B' GB_bind1st_tran__first_int64
// C=A+scalar (none)
// C=A'+scalar (none)
// C type: int64_t
// A type: int64_t
// B,b type: int64_t
// BinaryOp: cij = aij
#define GB_ATYPE \
int64_t
#define GB_BTYPE \
int64_t
#define GB_CTYPE \
int64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int64_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
;
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = x ;
// op is second
#define GB_OP_IS_SECOND \
0
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_FIRST || GxB_NO_INT64 || GxB_NO_FIRST_INT64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void (none)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_ewise3_noaccum__first_int64
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumB__first_int64
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumb__first_int64
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type int64_t
int64_t bwork = (*((int64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__first_int64
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *GB_RESTRICT Cx = (int64_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_DxB__first_int64
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *GB_RESTRICT Cx = (int64_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
#undef GB_FREE_ALL
#define GB_FREE_ALL \
{ \
GB_ek_slice_free (&pstart_Mslice, &kfirst_Mslice, &klast_Mslice) ; \
GB_ek_slice_free (&pstart_Aslice, &kfirst_Aslice, &klast_Aslice) ; \
GB_ek_slice_free (&pstart_Bslice, &kfirst_Bslice, &klast_Bslice) ; \
}
GrB_Info GB_AaddB__first_int64
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_add_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB_AemultB__first_int64
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_emult_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB_bind1st__first_int64
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *GB_RESTRICT Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *Cx = (int64_t *) Cx_output ;
int64_t x = (*((int64_t *) x_input)) ;
int64_t *Bx = (int64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
; ;
Cx [p] = x ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
#if 0
GrB_Info (none)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *GB_RESTRICT Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int64_t *Cx = (int64_t *) Cx_output ;
int64_t *Ax = (int64_t *) Ax_input ;
int64_t y = (*((int64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int64_t aij = Ax [p] ;
Cx [p] = aij ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = x ; \
}
GrB_Info GB_bind1st_tran__first_int64
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t x = (*((const int64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int64_t aij = Ax [pA] ; \
Cx [pC] = aij ; \
}
GrB_Info (none)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t y = (*((const int64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
#endif
|
GB_binop__pow_fc32.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__pow_fc32)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__pow_fc32)
// A.*B function (eWiseMult): GB (_AemultB_03__pow_fc32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__pow_fc32)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((node))
// C+=B function (dense accum): GB (_Cdense_accumB__pow_fc32)
// C+=b function (dense accum): GB (_Cdense_accumb__pow_fc32)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__pow_fc32)
// C=scalar+B GB (_bind1st__pow_fc32)
// C=scalar+B' GB (_bind1st_tran__pow_fc32)
// C=A+scalar GB (_bind2nd__pow_fc32)
// C=A'+scalar GB (_bind2nd_tran__pow_fc32)
// C type: GxB_FC32_t
// A type: GxB_FC32_t
// B,b type: GxB_FC32_t
// BinaryOp: cij = GB_cpowf (aij, bij)
#define GB_ATYPE \
GxB_FC32_t
#define GB_BTYPE \
GxB_FC32_t
#define GB_CTYPE \
GxB_FC32_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC32_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
GxB_FC32_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
GxB_FC32_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = GB_cpowf (x, y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
1
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_POW || GxB_NO_FC32 || GxB_NO_POW_FC32)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__pow_fc32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__pow_fc32)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__pow_fc32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type GxB_FC32_t
GxB_FC32_t bwork = (*((GxB_FC32_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC32_t *restrict Cx = (GxB_FC32_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((node))
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC32_t *restrict Cx = (GxB_FC32_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__pow_fc32)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__pow_fc32)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__pow_fc32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__pow_fc32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__pow_fc32)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__pow_fc32)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC32_t *Cx = (GxB_FC32_t *) Cx_output ;
GxB_FC32_t x = (*((GxB_FC32_t *) x_input)) ;
GxB_FC32_t *Bx = (GxB_FC32_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
GxB_FC32_t bij = Bx [p] ;
Cx [p] = GB_cpowf (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__pow_fc32)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
GxB_FC32_t *Cx = (GxB_FC32_t *) Cx_output ;
GxB_FC32_t *Ax = (GxB_FC32_t *) Ax_input ;
GxB_FC32_t y = (*((GxB_FC32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
GxB_FC32_t aij = Ax [p] ;
Cx [p] = GB_cpowf (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC32_t aij = Ax [pA] ; \
Cx [pC] = GB_cpowf (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__pow_fc32)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC32_t x = (*((const GxB_FC32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC32_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC32_t aij = Ax [pA] ; \
Cx [pC] = GB_cpowf (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__pow_fc32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC32_t y = (*((const GxB_FC32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
barrier.c | /* PMSIS includes */
#include "pmsis.h"
#include "omp.h"
#define ARRAY_SIZE 64
uint32_t a[ARRAY_SIZE] = {0};
uint32_t b[ARRAY_SIZE] = {0};
uint32_t c[ARRAY_SIZE] = {0};
/* Cluster main entry, executed by core 0. */
void cluster_delegate(void *arg)
{
printf("Cluster master core entry\n");
#pragma omp parallel num_threads(7)
{
printf("[%d %d] Fork entry\n", pi_cluster_id(), omp_get_thread_num() );
#pragma omp for
for (int i=0; i<ARRAY_SIZE; i++)
{
a[i] = 2 * i;
b[i] = 3 * i;
}
printf("core_id: %d\n", omp_get_thread_num());
for(volatile int i = 0; i < (10000 << omp_get_thread_num()); i++);
#pragma omp barrier
#pragma omp for
for (int i=0; i<ARRAY_SIZE; i++)
{
c[i] = a[i] + b[i];
printf("[%d %d] c: %d\n", pi_cluster_id(), omp_get_thread_num(), c[i]);
}
}
printf("Cluster master core exit\n");
}
void helloworld(void)
{
printf("Entering main controller\n");
uint32_t errors = 0;
uint32_t core_id = pi_core_id(), cluster_id = pi_cluster_id();
printf("[%d %d] Hello World!\n", cluster_id, core_id);
struct pi_device cluster_dev = {0};
struct pi_cluster_conf cl_conf = {0};
/* Init cluster configuration structure. */
pi_cluster_conf_init(&cl_conf);
cl_conf.id = 0; /* Set cluster ID. */
/* Configure & open cluster. */
pi_open_from_conf(&cluster_dev, &cl_conf);
if (pi_cluster_open(&cluster_dev))
{
printf("Cluster open failed !\n");
pmsis_exit(-1);
}
/* Prepare cluster task and send it to cluster. */
struct pi_cluster_task cl_task = {0};
cl_task.entry = cluster_delegate;
cl_task.arg = NULL;
pi_cluster_send_task_to_cl(&cluster_dev, &cl_task);
pi_cluster_close(&cluster_dev);
printf("Test success !\n");
pmsis_exit(errors);
}
/* Program Entry. */
int main(void)
{
printf("\n\n\t *** PMSIS HelloWorld ***\n\n");
return pmsis_kickoff((void *) helloworld);
}
|
CALPHADFreeEnergyFunctionsTernary.h | #ifndef included_CALPHADFreeEnergyFunctionsTernary
#define included_CALPHADFreeEnergyFunctionsTernary
#include "CALPHADSpeciesPhaseGibbsEnergy.h"
#include "InterpolationType.h"
#include "Phases.h"
#include "datatypes.h"
#include "functions.h"
#include <boost/property_tree/ptree.hpp>
#include <fstream>
#include <iostream>
#include <math.h>
namespace Thermo4PFM
{
class CALPHADFreeEnergyFunctionsTernary
{
public:
CALPHADFreeEnergyFunctionsTernary(boost::property_tree::ptree& input_db,
boost::optional<boost::property_tree::ptree&> newton_db,
const EnergyInterpolationType energy_interp_func_type,
const ConcInterpolationType conc_interp_func_type);
~CALPHADFreeEnergyFunctionsTernary() { delete[] fenergy_diag_filename_; };
double computeFreeEnergy(const double temperature, const double* const conc,
const PhaseIndex pi, const bool gp = false);
void computeDerivFreeEnergy(const double temperature,
const double* const conc, const PhaseIndex pi, double* deriv);
void computeSecondDerivativeFreeEnergy(const double temp,
const double* const conc, const PhaseIndex pi, double* d2fdc2);
bool computeCeqT(const double temperature, double* ceq,
const int maxits = 20, const bool verbose = false);
/// Compute compositions and phase fractions ate ends of tie line
/// passing through nominal composition (c0,c1)
bool computeTieLine(const double temperature, const double c0,
const double c1, double* ceq, const int maxits = 20,
const bool verbose = false);
void preRunDiagnostics(const double T0 = 300., const double T1 = 3000.);
int computePhaseConcentrations(const double temperature,
const double* const conc, const double* const phi, double* x);
void energyVsPhiAndC(const double temperature, const double* const ceq,
const bool found_ceq, const double phi_well_scale,
const int npts_phi = 51,
const int npts_c = 50); // number of compositions to use (>1)
void printEnergyVsComposition(
const double temperature, std::ostream& os, const int npts = 100);
double fchem(const double* const phi, const double* const conc,
const double temperature);
void printEnergyVsPhiHeader(const double temperature, const int nphi,
const int nc0, const int nc1, const double c0min, const double c0max,
const double c1min, const double c1max, std::ostream& os) const;
void printEnergyVsPhi(const double* const conc, const double temperature,
const double phi_well_scale, const int npts, std::ostream& os);
private:
EnergyInterpolationType energy_interp_func_type_;
ConcInterpolationType conc_interp_func_type_;
void readNewtonparameters(boost::property_tree::ptree& newton_db);
void computeTdependentParameters(const double temperature,
CalphadDataType* L_AB_L, CalphadDataType* L_AC_L,
CalphadDataType* L_BC_L, CalphadDataType* L_ABC_L,
CalphadDataType* L_AB_S, CalphadDataType* L_AC_S,
CalphadDataType* L_BC_S, CalphadDataType* L_ABC_S, CalphadDataType* fA,
CalphadDataType* fB, CalphadDataType* fC);
char* fenergy_diag_filename_;
double newton_tol_;
double newton_alpha_;
int newton_maxits_;
bool newton_verbose_;
// Single species energies in each phase
// size 3 for species A, B, C
CALPHADSpeciesPhaseGibbsEnergy g_species_phaseL_[3];
CALPHADSpeciesPhaseGibbsEnergy g_species_phaseA_[3];
// size 4 for L0, L1, L2, L3, with 2 coefficient for linear expansion in T
// a+b*T
CalphadDataType LmixABPhaseL_[4][2];
CalphadDataType LmixABPhaseA_[4][2];
CalphadDataType LmixACPhaseL_[4][2];
CalphadDataType LmixACPhaseA_[4][2];
CalphadDataType LmixBCPhaseL_[4][2];
CalphadDataType LmixBCPhaseA_[4][2];
CalphadDataType LmixABCPhaseL_[3][2];
CalphadDataType LmixABCPhaseA_[3][2];
double (*fun_ptr_arr_[3])(const double){ linear_interp_func,
pbg_interp_func, harmonic_interp_func };
void readParameters(boost::property_tree::ptree& calphad_db);
#ifdef HAVE_OPENMP_OFFLOAD
#pragma omp declare target
#endif
// energy of species "is" in phase L,A,B
double getFenergyPhaseL(const short is, const double temperature)
{
return g_species_phaseL_[is].fenergy(temperature);
}
double getFenergyPhaseA(const short is, const double temperature)
{
return g_species_phaseA_[is].fenergy(temperature);
}
CalphadDataType lmix0ABPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix0ABPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix0ABPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix1ABPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix1ABPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix1ABPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix2ABPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix2ABPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix2ABPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix3ABPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix3ABPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix3ABPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix0ABPhaseL(const double temperature)
{
return LmixABPhaseL_[0][0] + LmixABPhaseL_[0][1] * temperature;
}
CalphadDataType lmix1ABPhaseL(const double temperature)
{
return LmixABPhaseL_[1][0] + LmixABPhaseL_[1][1] * temperature;
}
CalphadDataType lmix2ABPhaseL(const double temperature)
{
return LmixABPhaseL_[2][0] + LmixABPhaseL_[2][1] * temperature;
}
CalphadDataType lmix3ABPhaseL(const double temperature)
{
return LmixABPhaseL_[3][0] + LmixABPhaseL_[3][1] * temperature;
}
CalphadDataType lmix0ABPhaseA(const double temperature)
{
return LmixABPhaseA_[0][0] + LmixABPhaseA_[0][1] * temperature;
}
CalphadDataType lmix1ABPhaseA(const double temperature)
{
return LmixABPhaseA_[1][0] + LmixABPhaseA_[1][1] * temperature;
}
CalphadDataType lmix2ABPhaseA(const double temperature)
{
return LmixABPhaseA_[2][0] + LmixABPhaseA_[2][1] * temperature;
}
CalphadDataType lmix3ABPhaseA(const double temperature)
{
return LmixABPhaseA_[3][0] + LmixABPhaseA_[3][1] * temperature;
}
CalphadDataType lmix0ACPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix0ACPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix0ACPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix1ACPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix1ACPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix1ACPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix2ACPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix2ACPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix2ACPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix3ACPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix3ACPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix3ACPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix0ACPhaseL(const double temperature)
{
return LmixACPhaseL_[0][0] + LmixACPhaseL_[0][1] * temperature;
}
CalphadDataType lmix1ACPhaseL(const double temperature)
{
return LmixACPhaseL_[1][0] + LmixACPhaseL_[1][1] * temperature;
}
CalphadDataType lmix2ACPhaseL(const double temperature)
{
return LmixACPhaseL_[2][0] + LmixACPhaseL_[2][1] * temperature;
}
CalphadDataType lmix3ACPhaseL(const double temperature)
{
return LmixACPhaseL_[3][0] + LmixACPhaseL_[3][1] * temperature;
}
CalphadDataType lmix0ACPhaseA(const double temperature)
{
return LmixACPhaseA_[0][0] + LmixACPhaseA_[0][1] * temperature;
}
CalphadDataType lmix1ACPhaseA(const double temperature)
{
return LmixACPhaseA_[1][0] + LmixACPhaseA_[1][1] * temperature;
}
CalphadDataType lmix2ACPhaseA(const double temperature)
{
return LmixACPhaseA_[2][0] + LmixACPhaseA_[2][1] * temperature;
}
CalphadDataType lmix3ACPhaseA(const double temperature)
{
return LmixACPhaseA_[3][0] + LmixACPhaseA_[3][1] * temperature;
}
CalphadDataType lmix0BCPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix0BCPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix0BCPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix1BCPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix1BCPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix1BCPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix2BCPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix2BCPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix2BCPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix3BCPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix3BCPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix3BCPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix0BCPhaseL(const double temperature)
{
return LmixBCPhaseL_[0][0] + LmixBCPhaseL_[0][1] * temperature;
}
CalphadDataType lmix1BCPhaseL(const double temperature)
{
return LmixBCPhaseL_[1][0] + LmixBCPhaseL_[1][1] * temperature;
}
CalphadDataType lmix2BCPhaseL(const double temperature)
{
return LmixBCPhaseL_[2][0] + LmixBCPhaseL_[2][1] * temperature;
}
CalphadDataType lmix3BCPhaseL(const double temperature)
{
return LmixBCPhaseL_[3][0] + LmixBCPhaseL_[3][1] * temperature;
}
CalphadDataType lmix0BCPhaseA(const double temperature)
{
return LmixBCPhaseA_[0][0] + LmixBCPhaseA_[0][1] * temperature;
}
CalphadDataType lmix1BCPhaseA(const double temperature)
{
return LmixBCPhaseA_[1][0] + LmixBCPhaseA_[1][1] * temperature;
}
CalphadDataType lmix2BCPhaseA(const double temperature)
{
return LmixBCPhaseA_[2][0] + LmixBCPhaseA_[2][1] * temperature;
}
CalphadDataType lmix3BCPhaseA(const double temperature)
{
return LmixBCPhaseA_[3][0] + LmixBCPhaseA_[3][1] * temperature;
}
// ABC
CalphadDataType lmix0ABCPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix0ABCPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix0ABCPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix1ABCPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix1ABCPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix1ABCPhaseA(temperature);
default:
return NAN;
}
}
CalphadDataType lmix2ABCPhase(const PhaseIndex pi, const double temperature)
{
switch (pi)
{
case PhaseIndex::phaseL:
return lmix2ABCPhaseL(temperature);
case PhaseIndex::phaseA:
return lmix2ABCPhaseA(temperature);
default:
return NAN;
}
}
// ABC liquid
CalphadDataType lmix0ABCPhaseL(const double temperature)
{
return LmixABCPhaseL_[0][0] + LmixABCPhaseL_[0][1] * temperature;
}
CalphadDataType lmix1ABCPhaseL(const double temperature)
{
return LmixABCPhaseL_[1][0] + LmixABCPhaseL_[1][1] * temperature;
}
CalphadDataType lmix2ABCPhaseL(const double temperature)
{
return LmixABCPhaseL_[2][0] + LmixABCPhaseL_[2][1] * temperature;
}
// ABC solid
CalphadDataType lmix0ABCPhaseA(const double temperature)
{
return LmixABCPhaseA_[0][0] + LmixABCPhaseA_[0][1] * temperature;
}
CalphadDataType lmix1ABCPhaseA(const double temperature)
{
return LmixABCPhaseA_[1][0] + LmixABCPhaseA_[1][1] * temperature;
}
CalphadDataType lmix2ABCPhaseA(const double temperature)
{
return LmixABCPhaseA_[2][0] + LmixABCPhaseA_[2][1] * temperature;
}
#ifdef HAVE_OPENMP_OFFLOAD
#pragma omp end declare target
#endif
void computePhasesFreeEnergies(const double temperature,
const double* const hphi, const double conc0, const double conc1,
double& fl, double& fa);
};
void readLmixTernaryParameters(
boost::property_tree::ptree& Lmix_db, CalphadDataType LmixABC[3][2]);
}
#endif
|
find_ellipse.c | #include "find_ellipse.h"
#include <sys/time.h>
// The number of sample points per ellipse
#define NPOINTS 150
// The expected radius (in pixels) of a cell
#define RADIUS 10
// The range of acceptable radii
#define MIN_RAD RADIUS - 2
#define MAX_RAD RADIUS * 2
// The number of different sample ellipses to try
#define NCIRCLES 7
extern MAT *m_inverse(MAT *A, MAT *out);
// Returns the current system time in microseconds
long long get_time() {
struct timeval tv;
gettimeofday(&tv, NULL);
return (tv.tv_sec * 1000000) + tv.tv_usec;
}
// Returns the specified frame from the specified video file
// If cropped == true, the frame is cropped to pre-determined dimensions
// (hardcoded to the boundaries of the blood vessel in the test video)
// If scaled == true, all values are scaled to the range [0.0, 1.0]
MAT *get_frame(avi_t *cell_file, int frame_num, int cropped, int scaled) {
int dummy;
int width = AVI_video_width(cell_file);
int height = AVI_video_height(cell_file);
unsigned char *image_buf = (unsigned char *)malloc(width * height);
// There are 600 frames in this file (i.e. frame_num = 600 causes an error)
AVI_set_video_position(cell_file, frame_num);
// Read in the frame from the AVI
if (AVI_read_frame(cell_file, (char *)image_buf, &dummy) == -1) {
AVI_print_error("Error with AVI_read_frame");
exit(-1);
}
MAT *image_chopped;
if (cropped) {
// Crop and flip image so we deal only with the interior of the vein
image_chopped = chop_flip_image(image_buf, height, width, TOP, BOTTOM,
0, width - 1, scaled);
} else {
// Just flip the image
image_chopped = chop_flip_image(image_buf, height, width, 0, height - 1,
0, width - 1, scaled);
}
free(image_buf);
return image_chopped;
}
// Flips the specified image and crops it to the specified dimensions
MAT *chop_flip_image(unsigned char *image, int height, int width, int top,
int bottom, int left, int right, int scaled) {
MAT *result = m_get(bottom - top + 1, right - left + 1);
int i, j;
if (scaled) {
double scale = 1.0 / 255.0;
for (i = 0; i <= (bottom - top); i++)
for (j = 0; j <= (right - left); j++)
// m_set_val(result, i, j, (double) image[((height - (i + top))
// * width) + (j + left)] * scale);
m_set_val(result, i, j,
(double)image[((height - 1 - (i + top)) * width) +
(j + left)] *
scale);
} else {
for (i = 0; i <= (bottom - top); i++)
for (j = 0; j <= (right - left); j++)
// m_set_val(result, i, j, (double) image[((height - (i + top))
// * width) + (j + left)]);
m_set_val(
result, i, j,
(double)
image[((height - 1 - (i + top)) * width) + (j + left)]);
}
return result;
}
// Given x- and y-gradients of a video frame, computes the GICOV
// score for each sample ellipse at every pixel in the frame
MAT *ellipsematching(MAT *grad_x, MAT *grad_y) {
int i, n, k;
// Compute the sine and cosine of the angle to each point in each sample
// circle
// (which are the same across all sample circles)
double sin_angle[NPOINTS], cos_angle[NPOINTS], theta[NPOINTS];
for (n = 0; n < NPOINTS; n++) {
theta[n] = (double)n * 2.0 * PI / (double)NPOINTS;
sin_angle[n] = sin(theta[n]);
cos_angle[n] = cos(theta[n]);
}
// Compute the (x,y) pixel offsets of each sample point in each sample
// circle
int tX[NCIRCLES][NPOINTS], tY[NCIRCLES][NPOINTS];
for (k = 0; k < NCIRCLES; k++) {
double rad = (double)(MIN_RAD + 2 * k);
for (n = 0; n < NPOINTS; n++) {
tX[k][n] = (int)(cos(theta[n]) * rad);
tY[k][n] = (int)(sin(theta[n]) * rad);
}
}
int MaxR = MAX_RAD + 2;
// Allocate memory for the result matrix
int height = grad_x->m, width = grad_x->n;
MAT *gicov = m_get(height, width);
// Split the work among multiple threads, if OPEN is defined
#ifdef OPEN
#pragma omp parallel for num_threads(omp_num_threads)
#endif
// Scan from left to right, top to bottom, computing GICOV values
for (i = MaxR; i < width - MaxR; i++) {
double Grad[NPOINTS];
int j, k, n, x, y;
for (j = MaxR; j < height - MaxR; j++) {
// Initialize the maximal GICOV score to 0
double max_GICOV = 0;
// Iterate across each stencil
for (k = 0; k < NCIRCLES; k++) {
// Iterate across each sample point in the current stencil
for (n = 0; n < NPOINTS; n++) {
// Determine the x- and y-coordinates of the current sample
// point
y = j + tY[k][n];
x = i + tX[k][n];
// Compute the combined gradient value at the current sample
// point
Grad[n] = m_get_val(grad_x, y, x) * cos_angle[n] +
m_get_val(grad_y, y, x) * sin_angle[n];
}
// Compute the mean gradient value across all sample points
double sum = 0.0;
for (n = 0; n < NPOINTS; n++)
sum += Grad[n];
double mean = sum / (double)NPOINTS;
// Compute the variance of the gradient values
double var = 0.0;
for (n = 0; n < NPOINTS; n++) {
sum = Grad[n] - mean;
var += sum * sum;
}
var = var / (double)(NPOINTS - 1);
// Keep track of the maximal GICOV value seen so far
if (mean * mean / var > max_GICOV) {
m_set_val(gicov, j, i, mean / sqrt(var));
max_GICOV = mean * mean / var;
}
}
}
}
return gicov;
}
// Returns a circular structuring element of the specified radius
MAT *structuring_element(int radius) {
MAT *result = m_get(radius * 2 + 1, radius * 2 + 1);
int i, j;
for (i = 0; i < result->m; i++) {
for (j = 0; j < result->n; j++) {
if (sqrt((float)((i - radius) * (i - radius) +
(j - radius) * (j - radius))) <= radius)
m_set_val(result, i, j, 1.0);
else
m_set_val(result, i, j, 0.0);
}
}
return result;
}
// Performs an image dilation on the specified matrix
// using the specified structuring element
MAT *dilate_f(MAT *img_in, MAT *strel) {
MAT *dilated = m_get(img_in->m, img_in->n);
// Find the center of the structuring element
int el_center_i = strel->m / 2, el_center_j = strel->n / 2, i;
// Split the work among multiple threads, if OPEN is defined
#ifdef OPEN
#pragma omp parallel for num_threads(omp_num_threads)
#endif
// Iterate across the input matrix
for (i = 0; i < img_in->m; i++) {
int j, el_i, el_j, x, y;
for (j = 0; j < img_in->n; j++) {
double max = 0.0, temp;
// Iterate across the structuring element
for (el_i = 0; el_i < strel->m; el_i++) {
for (el_j = 0; el_j < strel->n; el_j++) {
y = i - el_center_i + el_i;
x = j - el_center_j + el_j;
// Make sure we have not gone off the edge of the matrix
if (y >= 0 && x >= 0 && y < img_in->m && x < img_in->n &&
m_get_val(strel, el_i, el_j) != 0) {
// Determine if this is maximal value seen so far
temp = m_get_val(img_in, y, x);
if (temp > max)
max = temp;
}
}
}
// Store the maximum value found
m_set_val(dilated, i, j, max);
}
}
return dilated;
}
// M = # of sampling points in each segment
// N = number of segment of curve
// Get special TMatrix
MAT *TMatrix(unsigned int N, unsigned int M) {
MAT *B = NULL, *LB = NULL, *B_TEMP = NULL, *B_TEMP_INV = NULL,
*B_RET = NULL;
int *aindex, *bindex, *cindex, *dindex;
int i, j;
aindex = malloc(N * sizeof(int));
bindex = malloc(N * sizeof(int));
cindex = malloc(N * sizeof(int));
dindex = malloc(N * sizeof(int));
for (i = 1; i < N; i++)
aindex[i] = i - 1;
aindex[0] = N - 1;
for (i = 0; i < N; i++)
bindex[i] = i;
for (i = 0; i < N - 1; i++)
cindex[i] = i + 1;
cindex[N - 1] = 0;
for (i = 0; i < N - 2; i++)
dindex[i] = i + 2;
dindex[N - 2] = 0;
dindex[N - 1] = 1;
B = m_get(N * M, N);
LB = m_get(M, N);
for (i = 0; i < N; i++) {
m_zero(LB);
for (j = 0; j < M; j++) {
double s = (double)j / (double)M;
double a, b, c, d;
a = (-1.0 * s * s * s + 3.0 * s * s - 3.0 * s + 1.0) / 6.0;
b = (3.0 * s * s * s - 6.0 * s * s + 4.0) / 6.0;
c = (-3.0 * s * s * s + 3.0 * s * s + 3.0 * s + 1.0) / 6.0;
d = s * s * s / 6.0;
m_set_val(LB, j, aindex[i], a);
m_set_val(LB, j, bindex[i], b);
m_set_val(LB, j, cindex[i], c);
m_set_val(LB, j, dindex[i], d);
}
int m, n;
for (m = i * M; m < (i + 1) * M; m++)
for (n = 0; n < N; n++)
m_set_val(B, m, n, m_get_val(LB, m % M, n));
}
B_TEMP = mtrm_mlt(B, B, B_TEMP);
B_TEMP_INV = m_inverse(B_TEMP, B_TEMP_INV);
B_RET = mmtr_mlt(B_TEMP_INV, B, B_RET);
m_free(B);
m_free(LB);
m_free(B_TEMP);
m_free(B_TEMP_INV);
free(dindex);
free(cindex);
free(bindex);
free(aindex);
return B_RET;
}
void uniformseg(VEC *cellx_row, VEC *celly_row, MAT *x, MAT *y) {
double dx[36], dy[36], dist[36], dsum[36], perm = 0.0, uperm;
int i, j, index[36];
for (i = 1; i <= 36; i++) {
dx[i % 36] =
v_get_val(cellx_row, i % 36) - v_get_val(cellx_row, (i - 1) % 36);
dy[i % 36] =
v_get_val(celly_row, i % 36) - v_get_val(celly_row, (i - 1) % 36);
dist[i % 36] = sqrt(dx[i % 36] * dx[i % 36] + dy[i % 36] * dy[i % 36]);
perm += dist[i % 36];
}
uperm = perm / 36.0;
dsum[0] = dist[0];
for (i = 1; i < 36; i++)
dsum[i] = dsum[i - 1] + dist[i];
for (i = 0; i < 36; i++) {
double minimum = DBL_MAX, temp;
int min_index = 0;
for (j = 0; j < 36; j++) {
temp = fabs(dsum[j] - (double)i * uperm);
if (temp < minimum) {
minimum = temp;
min_index = j;
}
}
index[i] = min_index;
}
for (i = 0; i < 36; i++) {
m_set_val(x, 0, i, v_get_val(cellx_row, index[i]));
m_set_val(y, 0, i, v_get_val(celly_row, index[i]));
}
}
// Get minimum element in a matrix
double m_min(MAT *m) {
int i, j;
double minimum = DBL_MAX, temp;
for (i = 0; i < m->m; i++) {
for (j = 0; j < m->n; j++) {
temp = m_get_val(m, i, j);
if (temp < minimum)
minimum = temp;
}
}
return minimum;
}
// Get maximum element in a matrix
double m_max(MAT *m) {
int i, j;
double maximum = DBL_MIN, temp;
for (i = 0; i < m->m; i++) {
for (j = 0; j < m->n; j++) {
temp = m_get_val(m, i, j);
if (temp > maximum)
maximum = temp;
}
}
return maximum;
}
VEC *getsampling(MAT *m, int ns) {
int N = m->n > m->m ? m->n : m->m, M = ns;
int *aindex, *bindex, *cindex, *dindex;
int i, j;
VEC *retval = v_get(N * M);
aindex = malloc(N * sizeof(int));
bindex = malloc(N * sizeof(int));
cindex = malloc(N * sizeof(int));
dindex = malloc(N * sizeof(int));
for (i = 1; i < N; i++)
aindex[i] = i - 1;
aindex[0] = N - 1;
for (i = 0; i < N; i++)
bindex[i] = i;
for (i = 0; i < N - 1; i++)
cindex[i] = i + 1;
cindex[N - 1] = 0;
for (i = 0; i < N - 2; i++)
dindex[i] = i + 2;
dindex[N - 2] = 0;
dindex[N - 1] = 1;
for (i = 0; i < N; i++) {
for (j = 0; j < M; j++) {
double s = (double)j / (double)M;
double a, b, c, d;
a = m_get_val(m, 0, aindex[i]) *
(-1.0 * s * s * s + 3.0 * s * s - 3.0 * s + 1.0);
b = m_get_val(m, 0, bindex[i]) *
(3.0 * s * s * s - 6.0 * s * s + 4.0);
c = m_get_val(m, 0, cindex[i]) *
(-3.0 * s * s * s + 3.0 * s * s + 3.0 * s + 1.0);
d = m_get_val(m, 0, dindex[i]) * s * s * s;
v_set_val(retval, i * M + j, (a + b + c + d) / 6.0);
}
}
free(dindex);
free(cindex);
free(bindex);
free(aindex);
return retval;
}
VEC *getfdriv(MAT *m, int ns) {
int N = m->n > m->m ? m->n : m->m, M = ns;
int *aindex, *bindex, *cindex, *dindex;
int i, j;
VEC *retval = v_get(N * M);
aindex = malloc(N * sizeof(int));
bindex = malloc(N * sizeof(int));
cindex = malloc(N * sizeof(int));
dindex = malloc(N * sizeof(int));
for (i = 1; i < N; i++)
aindex[i] = i - 1;
aindex[0] = N - 1;
for (i = 0; i < N; i++)
bindex[i] = i;
for (i = 0; i < N - 1; i++)
cindex[i] = i + 1;
cindex[N - 1] = 0;
for (i = 0; i < N - 2; i++)
dindex[i] = i + 2;
dindex[N - 2] = 0;
dindex[N - 1] = 1;
for (i = 0; i < N; i++) {
for (j = 0; j < M; j++) {
double s = (double)j / (double)M;
double a, b, c, d;
a = m_get_val(m, 0, aindex[i]) * (-3.0 * s * s + 6.0 * s - 3.0);
b = m_get_val(m, 0, bindex[i]) * (9.0 * s * s - 12.0 * s);
c = m_get_val(m, 0, cindex[i]) * (-9.0 * s * s + 6.0 * s + 3.0);
d = m_get_val(m, 0, dindex[i]) * (3.0 * s * s);
v_set_val(retval, i * M + j, (a + b + c + d) / 6.0);
}
}
free(dindex);
free(cindex);
free(bindex);
free(aindex);
return retval;
}
// Performs bilinear interpolation, getting the values of m specified in the
// vectors X and Y
MAT *linear_interp2(MAT *m, VEC *X, VEC *Y) {
// Kind of assumes X and Y have same len!
MAT *retval = m_get(1, X->dim);
double x_coord, y_coord, new_val, a, b;
int l, k, i;
for (i = 0; i < X->dim; i++) {
x_coord = v_get_val(X, i);
y_coord = v_get_val(Y, i);
l = (int)x_coord;
k = (int)y_coord;
a = x_coord - (double)l;
b = y_coord - (double)k;
// printf("xc: %f \t yc: %f \t i: %d \t l: %d \t k: %d \t a: %f \t b:
// %f\n", x_coord, y_coord, i, l, k, a, b);
new_val = (1.0 - a) * (1.0 - b) * m_get_val(m, k, l) +
a * (1.0 - b) * m_get_val(m, k, l + 1) +
(1.0 - a) * b * m_get_val(m, k + 1, l) +
a * b * m_get_val(m, k + 1, l + 1);
m_set_val(retval, 0, i, new_val);
}
return retval;
}
void splineenergyform01(MAT *Cx, MAT *Cy, MAT *Ix, MAT *Iy, int ns,
double delta, double dt, int typeofcell) {
VEC *X, *Y, *Xs, *Ys, *Nx, *Ny, *X1, *Y1, *X2, *Y2, *XY, *XX, *YY, *dCx,
*dCy, *Ix1, *Ix2, *Iy1, *Iy2;
MAT *Ix1_mat, *Ix2_mat, *Iy1_mat, *Iy2_mat;
int i, j, N, *aindex, *bindex, *cindex, *dindex;
X = getsampling(Cx, ns);
Y = getsampling(Cy, ns);
Xs = getfdriv(Cx, ns);
Ys = getfdriv(Cy, ns);
Nx = v_get(Ys->dim);
for (i = 0; i < Nx->dim; i++)
v_set_val(Nx, i,
v_get_val(Ys, i) / sqrt(v_get_val(Xs, i) * v_get_val(Xs, i) +
v_get_val(Ys, i) * v_get_val(Ys, i)));
Ny = v_get(Xs->dim);
for (i = 0; i < Ny->dim; i++)
v_set_val(Ny, i, -1.0 * v_get_val(Xs, i) /
sqrt(v_get_val(Xs, i) * v_get_val(Xs, i) +
v_get_val(Ys, i) * v_get_val(Ys, i)));
X1 = v_get(Nx->dim);
for (i = 0; i < X1->dim; i++)
v_set_val(X1, i, v_get_val(X, i) + delta * v_get_val(Nx, i));
Y1 = v_get(Ny->dim);
for (i = 0; i < Y1->dim; i++)
v_set_val(Y1, i, v_get_val(Y, i) + delta * v_get_val(Ny, i));
X2 = v_get(Nx->dim);
for (i = 0; i < X2->dim; i++)
v_set_val(X2, i, v_get_val(X, i) - delta * v_get_val(Nx, i));
Y2 = v_get(Ny->dim);
for (i = 0; i < Y2->dim; i++)
v_set_val(Y2, i, v_get_val(Y, i) + delta * v_get_val(Ny, i));
Ix1_mat = linear_interp2(Ix, X1, Y1);
Iy1_mat = linear_interp2(Iy, X1, Y1);
Ix2_mat = linear_interp2(Ix, X2, Y2);
Iy2_mat = linear_interp2(Iy, X2, Y2);
Ix1 = v_get(Ix1_mat->n);
Iy1 = v_get(Iy1_mat->n);
Ix2 = v_get(Ix2_mat->n);
Iy2 = v_get(Iy2_mat->n);
Ix1 = get_row(Ix1_mat, 0, Ix1);
Iy1 = get_row(Iy1_mat, 0, Iy1);
Ix2 = get_row(Ix2_mat, 0, Ix2);
Iy2 = get_row(Iy2_mat, 0, Iy2);
N = Cx->m;
// VEC * retval = v_get(N*ns);
aindex = malloc(N * sizeof(int));
bindex = malloc(N * sizeof(int));
cindex = malloc(N * sizeof(int));
dindex = malloc(N * sizeof(int));
for (i = 1; i < N; i++)
aindex[i] = i - 1;
aindex[0] = N - 1;
for (i = 0; i < N; i++)
bindex[i] = i;
for (i = 0; i < N - 1; i++)
cindex[i] = i + 1;
cindex[N - 1] = 0;
for (i = 0; i < N - 2; i++)
dindex[i] = i + 2;
dindex[N - 2] = 0;
dindex[N - 1] = 1;
XY = v_get(Xs->dim);
for (i = 0; i < Xs->dim; i++)
v_set_val(XY, i, v_get_val(Xs, i) * v_get_val(Ys, i));
XX = v_get(Xs->dim);
for (i = 0; i < Xs->dim; i++)
v_set_val(XX, i, v_get_val(Xs, i) * v_get_val(Xs, i));
YY = v_get(Ys->dim);
for (i = 0; i < Xs->dim; i++)
v_set_val(YY, i, v_get_val(Ys, i) * v_get_val(Ys, i));
dCx = v_get(Cx->m);
dCy = v_get(Cy->m);
// get control points for splines
for (i = 0; i < Cx->m; i++) {
for (j = 0; j < ns; j++) {
double s = (double)j / (double)ns;
double A1, A2, A3, A4, B1, B2, B3, B4, D, D_3, Tx1, Tx2, Tx3, Tx4,
Ty1, Ty2, Ty3, Ty4;
int k;
A1 = (-1.0 * (s - 1.0) * (s - 1.0) * (s - 1.0)) / 6.0;
A2 = (3.0 * s * s * s - 6.0 * s * s + 4.0) / 6.0;
A3 = (-3.0 * s * s * s + 3.0 * s * s + 3.0 * s + 1.0) / 6.0;
A4 = s * s * s / 6.0;
B1 = (-3.0 * s * s + 6.0 * s - 3.0) / 6.0;
B2 = (9.0 * s * s - 12.0 * s) / 6.0;
B3 = (-9.0 * s * s + 6.0 * s + 3.0) / 6.0;
B4 = 3.0 * s * s / 6.0;
k = i * ns + j;
D = sqrt(v_get_val(Xs, k) * v_get_val(Xs, k) +
v_get_val(Ys, k) * v_get_val(Ys, k));
D_3 = D * D * D;
// 1st control point
Tx1 = A1 - delta * v_get_val(XY, k) * B1 / D_3;
Tx2 = -1.0 * delta * (B1 / D - v_get_val(XX, k) * B1 / D_3);
Tx3 = A1 + delta * v_get_val(XY, k) * B1 / D_3;
Tx4 = delta * (B1 / D - v_get_val(XX, k) * B1 / D_3);
Ty1 = delta * (B1 / D - v_get_val(YY, k) * B1 / D_3);
Ty2 = A1 + delta * v_get_val(XY, k) * B1 / D_3;
Ty3 = -1.0 * delta * (B1 / D - v_get_val(YY, k) * B1 / D_3);
Ty4 = A1 - delta * v_get_val(XY, k) * B1 / D_3;
v_set_val(dCx, aindex[i],
v_get_val(dCx, aindex[i]) + Tx1 * v_get_val(Ix1, k) +
Tx2 * v_get_val(Iy1, k) - Tx3 * v_get_val(Ix2, k) -
Tx4 * v_get_val(Iy2, k));
v_set_val(dCy, aindex[i],
v_get_val(dCy, aindex[i]) + Ty1 * v_get_val(Ix1, k) +
Ty2 * v_get_val(Iy1, k) - Ty3 * v_get_val(Ix2, k) -
Ty4 * v_get_val(Iy2, k));
// 2nd control point
Tx1 = A2 - delta * v_get_val(XY, k) * B2 / D_3;
Tx2 = -1.0 * delta * (B2 / D - v_get_val(XX, k) * B2 / D_3);
Tx3 = A2 + delta * v_get_val(XY, k) * B2 / D_3;
Tx4 = delta * (B2 / D - v_get_val(XX, k) * B2 / D_3);
Ty1 = delta * (B2 / D - v_get_val(YY, k) * B2 / D_3);
Ty2 = A2 + delta * v_get_val(XY, k) * B2 / D_3;
Ty3 = -1.0 * delta * (B2 / D - v_get_val(YY, k) * B2 / D_3);
Ty4 = A2 - delta * v_get_val(XY, k) * B2 / D_3;
v_set_val(dCx, bindex[i],
v_get_val(dCx, bindex[i]) + Tx1 * v_get_val(Ix1, k) +
Tx2 * v_get_val(Iy1, k) - Tx3 * v_get_val(Ix2, k) -
Tx4 * v_get_val(Iy2, k));
v_set_val(dCy, bindex[i],
v_get_val(dCy, bindex[i]) + Ty1 * v_get_val(Ix1, k) +
Ty2 * v_get_val(Iy1, k) - Ty3 * v_get_val(Ix2, k) -
Ty4 * v_get_val(Iy2, k));
// 3nd control point
Tx1 = A3 - delta * v_get_val(XY, k) * B3 / D_3;
Tx2 = -1.0 * delta * (B3 / D - v_get_val(XX, k) * B3 / D_3);
Tx3 = A3 + delta * v_get_val(XY, k) * B3 / D_3;
Tx4 = delta * (B3 / D - v_get_val(XX, k) * B3 / D_3);
Ty1 = delta * (B3 / D - v_get_val(YY, k) * B3 / D_3);
Ty2 = A3 + delta * v_get_val(XY, k) * B3 / D_3;
Ty3 = -1.0 * delta * (B3 / D - v_get_val(YY, k) * B3 / D_3);
Ty4 = A3 - delta * v_get_val(XY, k) * B3 / D_3;
v_set_val(dCx, cindex[i],
v_get_val(dCx, cindex[i]) + Tx1 * v_get_val(Ix1, k) +
Tx2 * v_get_val(Iy1, k) - Tx3 * v_get_val(Ix2, k) -
Tx4 * v_get_val(Iy2, k));
v_set_val(dCy, cindex[i],
v_get_val(dCy, cindex[i]) + Ty1 * v_get_val(Ix1, k) +
Ty2 * v_get_val(Iy1, k) - Ty3 * v_get_val(Ix2, k) -
Ty4 * v_get_val(Iy2, k));
// 4nd control point
Tx1 = A4 - delta * v_get_val(XY, k) * B4 / D_3;
Tx2 = -1.0 * delta * (B4 / D - v_get_val(XX, k) * B4 / D_3);
Tx3 = A4 + delta * v_get_val(XY, k) * B4 / D_3;
Tx4 = delta * (B4 / D - v_get_val(XX, k) * B4 / D_3);
Ty1 = delta * (B4 / D - v_get_val(YY, k) * B4 / D_3);
Ty2 = A4 + delta * v_get_val(XY, k) * B4 / D_3;
Ty3 = -1.0 * delta * (B4 / D - v_get_val(YY, k) * B4 / D_3);
Ty4 = A4 - delta * v_get_val(XY, k) * B4 / D_3;
v_set_val(dCx, dindex[i],
v_get_val(dCx, dindex[i]) + Tx1 * v_get_val(Ix1, k) +
Tx2 * v_get_val(Iy1, k) - Tx3 * v_get_val(Ix2, k) -
Tx4 * v_get_val(Iy2, k));
v_set_val(dCy, dindex[i],
v_get_val(dCy, dindex[i]) + Ty1 * v_get_val(Ix1, k) +
Ty2 * v_get_val(Iy1, k) - Ty3 * v_get_val(Ix2, k) -
Ty4 * v_get_val(Iy2, k));
}
}
if (typeofcell == 1) {
for (i = 0; i < Cx->n; i++)
m_set_val(Cx, 0, i, m_get_val(Cx, 1, i) - dt * v_get_val(dCx, i));
for (i = 0; i < Cy->n; i++)
m_set_val(Cy, 0, i, m_get_val(Cy, 1, i) - dt * v_get_val(dCy, i));
} else {
for (i = 0; i < Cx->n; i++)
m_set_val(Cx, 0, i, m_get_val(Cx, 1, i) + dt * v_get_val(dCx, i));
for (i = 0; i < Cy->n; i++)
m_set_val(Cy, 0, i, m_get_val(Cy, 1, i) + dt * v_get_val(dCy, i));
}
v_free(dCy);
v_free(dCx);
v_free(YY);
v_free(XX);
v_free(XY);
free(dindex);
free(cindex);
free(bindex);
free(aindex);
v_free(Iy2);
v_free(Ix2);
v_free(Iy1);
v_free(Ix1);
m_free(Iy2_mat);
m_free(Ix2_mat);
m_free(Iy1_mat);
m_free(Ix1_mat);
v_free(Y2);
v_free(X2);
v_free(Y1);
v_free(X1);
v_free(Ny);
v_free(Nx);
v_free(Ys);
v_free(Xs);
v_free(Y);
v_free(X);
}
|
test.c | #include <unistd.h>
#include <stdio.h>
#include <omp.h>
int main(void){
#pragma omp parallel for
for(int i = 0; i < 256; i++)
{
sleep(1);
}
printf("Exit loop\n");
while (1)
{
sleep(1);
}
return 0;
}
|
proposal.h | // Copyright 2018 Xiaomi, Inc. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef MACE_KERNELS_PROPOSAL_H_
#define MACE_KERNELS_PROPOSAL_H_
#include <algorithm>
#include <cmath>
#include <vector>
#include "mace/core/future.h"
#include "mace/core/tensor.h"
#include "mace/public/mace.h"
namespace mace {
namespace kernels {
inline std::vector<float> WHCenters(const std::vector<float> &anchor) {
// width, height, width_center, height_center
std::vector<float> window(4);
window[0] = anchor[2] - anchor[0] + 1;
window[1] = anchor[3] - anchor[1] + 1;
window[2] = anchor[0] + (window[0] - 1) / 2;
window[3] = anchor[1] + (window[1] - 1) / 2;
return window;
}
inline std::vector<std::vector<float>> GenerateAnchors(
const std::vector<int> &scales,
const std::vector<float> &ratios,
const int base_size) {
const std::vector<float> base_anchor =
{0, 0,
static_cast<float>(base_size-1),
static_cast<float>(base_size-1)};
const size_t scales_size = scales.size();
const size_t ratios_size = ratios.size();
// get height, width, centers
std::vector<float> base_window = WHCenters(base_anchor);
const float size = base_window[0] * base_window[1];
std::vector<std::vector<float>> anchors(scales_size * ratios_size,
std::vector<float>(4));
#pragma omp parallel for
for (size_t ratio_idx = 0; ratio_idx < ratios_size; ++ratio_idx) {
float ws = ::roundf(::sqrtf(size / ratios[ratio_idx]));
float hs = ::roundf(ws * ratios[ratio_idx]);
std::vector<float> tmp_anchor(4);
tmp_anchor[0] = base_window[2] - (ws - 1) / 2;
tmp_anchor[1] = base_window[3] - (hs - 1) / 2;
tmp_anchor[2] = base_window[2] + (ws - 1) / 2;
tmp_anchor[3] = base_window[3] + (hs - 1) / 2;
auto window = WHCenters(tmp_anchor);
for (size_t scale_idx = 0; scale_idx < scales_size; ++scale_idx) {
const size_t idx = ratio_idx * scales_size + scale_idx;
ws = window[0] * scales[scale_idx];
hs = window[1] * scales[scale_idx];
anchors[idx][0] = window[2] - (ws - 1) / 2;
anchors[idx][1] = window[3] - (hs - 1) / 2;
anchors[idx][2] = window[2] + (ws - 1) / 2;
anchors[idx][3] = window[3] + (hs - 1) / 2;
}
}
return anchors;
}
inline std::vector<int> nms(const float *bboxes_ptr,
const index_t num_bboxes,
const float thresh,
const int post_nms_top_n) {
std::vector<int> keep;
std::vector<int> suppressed(num_bboxes, 0);
std::vector<float> areas(num_bboxes, 0);
for (index_t i = 0; i < num_bboxes; ++i) {
const index_t idx = (i << 2);
areas[i] = (bboxes_ptr[idx + 2] - bboxes_ptr[idx] + 1) *
(bboxes_ptr[idx + 3] - bboxes_ptr[idx + 1] + 1);
}
for (int i = 0; i < num_bboxes; ++i) {
if (suppressed[i] == 1) continue;
keep.push_back(i);
if (keep.size() >= static_cast<size_t>(post_nms_top_n)) break;
int coord_idx = i << 2;
const float x1 = bboxes_ptr[coord_idx];
const float y1 = bboxes_ptr[coord_idx + 1];
const float x2 = bboxes_ptr[coord_idx + 2];
const float y2 = bboxes_ptr[coord_idx + 3];
const float area1 = areas[i];
for (int j = i + 1; j < num_bboxes; ++j) {
if (suppressed[j] == 1) continue;
coord_idx = j << 2;
const float iou =
std::max<float>(0.0,
std::min(x2, bboxes_ptr[coord_idx + 2]) -
std::max(x1, bboxes_ptr[coord_idx]) + 1)
* std::max<float>(0.0,
std::min(y2, bboxes_ptr[coord_idx + 3]) -
std::max(y1, bboxes_ptr[coord_idx + 1]) + 1);
if ((iou / (area1 + areas[j] - iou)) >= thresh) {
suppressed[j] = 1;
}
}
}
return keep;
}
template<DeviceType D, typename T>
struct ProposalFunctor {
ProposalFunctor(const int min_size,
const float nms_thresh,
const int pre_nms_top_n,
const int post_nms_top_n,
const int feat_stride,
const int base_size,
const std::vector<int> &scales,
const std::vector<float> &ratios) :
min_size_(min_size),
thresh_(nms_thresh),
pre_nms_top_n_(pre_nms_top_n),
post_nms_top_n_(post_nms_top_n),
feat_stride_(feat_stride),
anchors_(GenerateAnchors(scales, ratios, base_size)) {}
MaceStatus operator()(const Tensor *rpn_cls_prob,
const Tensor *rpn_bbox_pred,
const Tensor *img_info_tensor,
Tensor *output,
StatsFuture *future) {
MACE_UNUSED(future);
MACE_CHECK(rpn_cls_prob->dim(1) == rpn_bbox_pred->dim(1) &&
rpn_cls_prob->dim(2) == rpn_bbox_pred->dim(2));
MACE_CHECK((rpn_cls_prob->dim(3) / 2 == rpn_bbox_pred->dim(3) / 4) &&
(static_cast<size_t>(rpn_cls_prob->dim(3) / 2) == anchors_.size()));
const float *img_info = img_info_tensor->data<float>();
const int im_height = static_cast<int>(img_info[0] - 1);
const int im_width = static_cast<int>(img_info[1] - 1);
const index_t feat_height = rpn_cls_prob->dim(1);
const index_t feat_width = rpn_cls_prob->dim(2);
const int anchors_size = anchors_.size();
// shift anchors to original input
std::vector<std::vector<float>> proposals(
anchors_size * feat_height * feat_width,
std::vector<float>(4));
#pragma omp parallel for collapse(3)
for (int h_idx = 0; h_idx < feat_height; ++h_idx) {
for (int w_idx = 0; w_idx < feat_width; ++w_idx) {
for (int a_idx = 0; a_idx < anchors_size; ++a_idx) {
const int shift_h = h_idx * feat_stride_;
const int shift_w = w_idx * feat_stride_;
const index_t sanc_idx = (h_idx * feat_width + w_idx) * anchors_size
+ a_idx;
proposals[sanc_idx][0] = anchors_[a_idx][0] + shift_w;
proposals[sanc_idx][1] = anchors_[a_idx][1] + shift_h;
proposals[sanc_idx][2] = anchors_[a_idx][2] + shift_w;
proposals[sanc_idx][3] = anchors_[a_idx][3] + shift_h;
}
}
}
// Convert anchors into proposals via bbox transformations
// 2. clip predicted boxes to image
const float *bbox_deltas = rpn_bbox_pred->data<float>();
#pragma omp parallel for collapse(3)
for (int h_idx = 0; h_idx < feat_height; ++h_idx) {
for (int w_idx = 0; w_idx < feat_width; ++w_idx) {
for (int a_idx = 0; a_idx < anchors_size; ++a_idx) {
const index_t sanc_idx = (h_idx * feat_width + w_idx) * anchors_size
+ a_idx;
const float width = proposals[sanc_idx][2] -
proposals[sanc_idx][0] + 1;
const float height = proposals[sanc_idx][3] -
proposals[sanc_idx][1] + 1;
int delta_offset = sanc_idx * 4;
float pred_ctr_x = bbox_deltas[delta_offset + 0] * width +
(proposals[sanc_idx][0] + width / 2);
float pred_ctr_y = bbox_deltas[delta_offset + 1] * height +
(proposals[sanc_idx][1] + height / 2);
float pred_w = std::exp(bbox_deltas[delta_offset + 2]) * width;
float pred_h = std::exp(bbox_deltas[delta_offset + 3]) * height;
proposals[sanc_idx][0] = std::max<float>(
std::min<float>(pred_ctr_x - pred_w / 2, im_width),
0);
proposals[sanc_idx][1] = std::max<float>(
std::min<float>(pred_ctr_y - pred_h / 2, im_height),
0);
proposals[sanc_idx][2] = std::max<float>(
std::min<float>(pred_ctr_x + pred_w / 2, im_width),
0);
proposals[sanc_idx][3] = std::max<float>(
std::min<float>(pred_ctr_y + pred_h / 2, im_height),
0);
}
}
}
// 3. remove predicted boxes with either height or width < threshold
// (NOTE: convert min_size to input image scale stored in im_info[2])
std::vector<int> keep;
const float min_size = min_size_ * img_info[2];
for (int h_idx = 0; h_idx < feat_height; ++h_idx) {
for (int w_idx = 0; w_idx < feat_width; ++w_idx) {
for (int a_idx = 0; a_idx < anchors_size; ++a_idx) {
const index_t sanc_idx = (h_idx * feat_width + w_idx) * anchors_size
+ a_idx;
const float width = proposals[sanc_idx][2]
- proposals[sanc_idx][0] + 1;
const float height = proposals[sanc_idx][3]
- proposals[sanc_idx][1] + 1;
if (width >= min_size && height >= min_size) {
keep.push_back(sanc_idx);
}
}
}
}
// 4. sort all (proposal, score) pairs by score from highest to lowest
// 5. take top pre_nms_topN (e.g. 6000)
auto scores = rpn_cls_prob->data<float>();
const int scores_chan = static_cast<int>(rpn_cls_prob->dim(3));
auto score_idx_func = [&](int idx) -> int {
return (idx / anchors_size) * scores_chan +
(idx % anchors_size) + anchors_size;
};
std::sort(keep.begin(), keep.end(), [&](int left, int right) -> bool{
return scores[score_idx_func(left)] >
scores[score_idx_func(right)];
});
int size = std::min<int>(pre_nms_top_n_, keep.size());
std::vector<float> nms_scores(size, 0);
std::vector<float> nms_proposals((size << 2), 0);
#pragma omp parallel for
for (int i = 0; i < size; ++i) {
nms_scores[i] = scores[score_idx_func(keep[i])];
nms_proposals[i << 2] = proposals[keep[i]][0];
nms_proposals[(i << 2) + 1] = proposals[keep[i]][1];
nms_proposals[(i << 2) + 2] = proposals[keep[i]][2];
nms_proposals[(i << 2) + 3] = proposals[keep[i]][3];
}
/* 6. apply nms (e.g. threshold = 0.7)
7. take after_nms_topN (e.g. 300)
8. return the top proposals (-> RoIs top) */
auto nms_result = nms(nms_proposals.data(),
nms_scores.size(),
thresh_,
post_nms_top_n_);
// Output rois blob
// Our RPN implementation only supports a single input image, so all
// batch inds are 0
size = static_cast<int>(nms_result.size());
MACE_RETURN_IF_ERROR(output->Resize({size, 1, 1, 5}));
auto output_ptr = output->mutable_data<float>();
#pragma omp parallel for
for (int i = 0; i < size; ++i) {
const int out_idx = i * 5;
const int nms_idx = nms_result[i] * 4;
output_ptr[out_idx] = 0;
output_ptr[out_idx + 1] = nms_proposals[nms_idx];
output_ptr[out_idx + 2] = nms_proposals[nms_idx + 1];
output_ptr[out_idx + 3] = nms_proposals[nms_idx + 2];
output_ptr[out_idx + 4] = nms_proposals[nms_idx + 3];
}
return MACE_SUCCESS;
}
const int min_size_;
const float thresh_;
const int pre_nms_top_n_;
const int post_nms_top_n_;
const int feat_stride_;
std::vector<std::vector<float>> anchors_;
};
} // namespace kernels
} // namespace mace
#endif // MACE_KERNELS_PROPOSAL_H_
|
t_cholmod_gpu.c | /* ========================================================================== */
/* === GPU/t_cholmod_gpu ==================================================== */
/* ========================================================================== */
/* -----------------------------------------------------------------------------
* CHOLMOD/GPU Module. Copyright (C) 2005-2012, Timothy A. Davis
* The CHOLMOD/GPU Module is licensed under Version 2.0 of the GNU
* General Public License. See gpl.txt for a text of the license.
* CHOLMOD is also available under other licenses; contact authors for details.
* http://www.suitesparse.com
* -------------------------------------------------------------------------- */
/* GPU BLAS template routine for cholmod_super_numeric. */
/* ========================================================================== */
/* === include files and definitions ======================================== */
/* ========================================================================== */
#ifdef GPU_BLAS
#include <string.h>
#include "cholmod_template.h"
#undef L_ENTRY
#ifdef REAL
#define L_ENTRY 1
#else
#define L_ENTRY 2
#endif
/* ========================================================================== */
/* === gpu_clear_memory ===================================================== */
/* ========================================================================== */
/*
* Ensure the Lx is zeroed before forming factor. This is a significant cost
* in the GPU case - so using this parallel memset code for efficiency.
*/
void TEMPLATE2 (CHOLMOD (gpu_clear_memory))
(
double* buff,
size_t size,
int num_threads
)
{
int chunk_multiplier = 5;
int num_chunks = chunk_multiplier * num_threads;
size_t chunksize = size / num_chunks;
size_t i;
#pragma omp parallel for num_threads(num_threads) private(i) schedule(dynamic)
for(i = 0; i < num_chunks; i++) {
size_t chunkoffset = i * chunksize;
if(i == num_chunks - 1) {
memset(buff + chunkoffset, 0, (size - chunksize*(num_chunks - 1)) *
sizeof(double));
}
else {
memset(buff + chunkoffset, 0, chunksize * sizeof(double));
}
}
}
/* ========================================================================== */
/* === gpu_init ============================================================= */
/* ========================================================================== */
/*
* Performs required initialization for GPU computing.
*
* Returns 0 if there is an error, so the intended use is
*
* useGPU = CHOLMOD(gpu_init)
*
* which would locally turn off gpu processing if the initialization failed.
*/
int TEMPLATE2 (CHOLMOD (gpu_init))
(
void *Cwork,
cholmod_factor *L,
cholmod_common *Common,
Int nsuper,
Int n,
Int nls,
cholmod_gpu_pointers *gpu_p
)
{
Int i, k, maxSize ;
cublasStatus_t cublasError ;
cudaError_t cudaErr ;
size_t maxBytesSize, HostPinnedSize ;
feenableexcept (FE_DIVBYZERO | FE_INVALID | FE_OVERFLOW );
maxSize = L->maxcsize;
/* #define PAGE_SIZE (4*1024) */
CHOLMOD_GPU_PRINTF (("gpu_init : %p\n",
(void *) ((size_t) Cwork & ~(4*1024-1)))) ;
/* make sure the assumed buffer sizes are large enough */
if ( (nls+2*n+4)*sizeof(Int) > Common->devBuffSize ) {
ERROR (CHOLMOD_GPU_PROBLEM,"\n\n"
"GPU Memory allocation error. Ls, Map and RelativeMap exceed\n"
"devBuffSize. It is not clear if this is due to insufficient\n"
"device or host memory or both. You can try:\n"
" 1) increasing the amount of GPU memory requested\n"
" 2) reducing CHOLMOD_NUM_HOST_BUFFERS\n"
" 3) using a GPU & host with more memory\n"
"This issue is a known limitation and should be fixed in a \n"
"future release of CHOLMOD.\n") ;
return (0) ;
}
/* divvy up the memory in dev_mempool */
gpu_p->d_Lx[0] = Common->dev_mempool;
gpu_p->d_Lx[1] = Common->dev_mempool + Common->devBuffSize;
gpu_p->d_C = Common->dev_mempool + 2*Common->devBuffSize;
gpu_p->d_A[0] = Common->dev_mempool + 3*Common->devBuffSize;
gpu_p->d_A[1] = Common->dev_mempool + 4*Common->devBuffSize;
gpu_p->d_Ls = Common->dev_mempool + 5*Common->devBuffSize;
gpu_p->d_Map = gpu_p->d_Ls + (nls+1)*sizeof(Int) ;
gpu_p->d_RelativeMap = gpu_p->d_Map + (n+1)*sizeof(Int) ;
/* Copy all of the Ls and Lpi data to the device. If any supernodes are
* to be computed on the device then this will be needed, so might as
* well do it now. */
cudaErr = cudaMemcpy ( gpu_p->d_Ls, L->s, nls*sizeof(Int),
cudaMemcpyHostToDevice );
CHOLMOD_HANDLE_CUDA_ERROR(cudaErr,"cudaMemcpy(d_Ls)");
if (!(Common->gpuStream[0])) {
/* ------------------------------------------------------------------ */
/* create each CUDA stream */
/* ------------------------------------------------------------------ */
for ( i=0; i<CHOLMOD_HOST_SUPERNODE_BUFFERS; i++ ) {
cudaErr = cudaStreamCreate ( &(Common->gpuStream[i]) );
if (cudaErr != cudaSuccess) {
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA stream") ;
return (0) ;
}
}
/* ------------------------------------------------------------------ */
/* create each CUDA event */
/* ------------------------------------------------------------------ */
for (i = 0 ; i < 3 ; i++) {
cudaErr = cudaEventCreateWithFlags
(&(Common->cublasEventPotrf [i]), cudaEventDisableTiming) ;
if (cudaErr != cudaSuccess) {
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event") ;
return (0) ;
}
}
for (i = 0 ; i < CHOLMOD_HOST_SUPERNODE_BUFFERS ; i++) {
cudaErr = cudaEventCreateWithFlags
(&(Common->updateCBuffersFree[i]), cudaEventDisableTiming) ;
if (cudaErr != cudaSuccess) {
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event") ;
return (0) ;
}
}
cudaErr = cudaEventCreateWithFlags ( &(Common->updateCKernelsComplete),
cudaEventDisableTiming );
if (cudaErr != cudaSuccess) {
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA updateCKernelsComplete event") ;
return (0) ;
}
}
gpu_p->h_Lx[0] = (double*)(Common->host_pinned_mempool);
for ( k=1; k<CHOLMOD_HOST_SUPERNODE_BUFFERS; k++ ) {
gpu_p->h_Lx[k] = (double*)((char *)(Common->host_pinned_mempool) +
k*Common->devBuffSize);
}
return (1); /* initialization successfull, useGPU = 1 */
}
/* ========================================================================== */
/* === gpu_reorder_descendants ============================================== */
/* ========================================================================== */
/* Reorder the descendant supernodes as:
* 1st - descendant supernodes eligible for processing on the GPU
* in increasing (by flops) order
* 2nd - supernodes whose processing is to remain on the CPU
* in any order
*
* All of the GPU-eligible supernodes will be scheduled first. All
* CPU-eligible descendants will overlap with the last (largest)
* CHOLMOD_HOST_SUPERNODE_BUFFERS GPU-eligible descendants.
*/
void TEMPLATE2 (CHOLMOD (gpu_reorder_descendants))
(
cholmod_common *Common,
Int *Super,
Int *locals,
Int *Lpi,
Int *Lpos,
Int *Head,
Int *Next,
Int *Previous,
Int *ndescendants,
Int *tail,
Int *mapCreatedOnGpu,
cholmod_gpu_pointers *gpu_p
)
{
Int prevd, nextd, firstcpu, d, k, kd1, kd2, ndcol, pdi, pdend, pdi1;
Int dnext, ndrow2, p;
Int n_descendant = 0;
double score;
/* use h_Lx[0] to buffer the GPU-eligible descendants */
struct cholmod_descendant_score_t* scores =
(struct cholmod_descendant_score_t*) gpu_p->h_Lx[0];
double cpuref = 0.0;
int nreverse = 1;
int previousd;
d = Head[*locals];
prevd = -1;
firstcpu = -1;
*mapCreatedOnGpu = 0;
while ( d != EMPTY )
{
/* Get the parameters for the current descendant supernode */
kd1 = Super [d] ; /* d contains cols kd1 to kd2-1 of L */
kd2 = Super [d+1] ;
ndcol = kd2 - kd1 ; /* # of columns in all of d */
pdi = Lpi [d] ; /* pointer to first row of d in Ls */
pdend = Lpi [d+1] ; /* pointer just past last row of d in Ls */
p = Lpos [d] ; /* offset of 1st row of d affecting s */
pdi1 = pdi + p ; /* ptr to 1st row of d affecting s in Ls */
ndrow2 = pdend - pdi1;
nextd = Next[d];
/* compute a rough flops 'score' for this descendant supernode */
score = ndrow2 * ndcol;
if ( ndrow2*L_ENTRY >= CHOLMOD_ND_ROW_LIMIT &&
ndcol*L_ENTRY >= CHOLMOD_ND_COL_LIMIT ) {
score += Common->devBuffSize;
}
/* place in sort buffer */
scores[n_descendant].score = score;
scores[n_descendant].d = d;
n_descendant++;
d = nextd;
}
/* Sort the GPU-eligible supernodes */
//qsort(scores, n_descendant, sizeof(struct cholmod_descendant_score_t), (__compar_fn_t) CHOLMOD(score_comp) );
qsort(scores, n_descendant, sizeof(struct cholmod_descendant_score_t), CHOLMOD(score_comp) );
/* Place sorted data back in descendant supernode linked list*/
if ( n_descendant > 0 ) {
Head[*locals] = scores[0].d;
if ( n_descendant > 1 ) {
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
if (n_descendant > 64)
for ( k=1; k<n_descendant; k++ ) {
Next[scores[k-1].d] = scores[k].d;
}
}
Next[scores[n_descendant-1].d] = firstcpu;
}
/* reverse the first CHOLMOD_HOST_SUPERNODE_BUFFERS to better hide PCIe
communications */
if ( Head[*locals] != EMPTY && Next[Head[*locals]] != EMPTY ) {
previousd = Head[*locals];
d = Next[Head[*locals]];
while ( d!=EMPTY && nreverse < CHOLMOD_HOST_SUPERNODE_BUFFERS ) {
kd1 = Super [d] ; /* d contains cols kd1 to kd2-1 of L */
kd2 = Super [d+1] ;
ndcol = kd2 - kd1 ; /* # of columns in all of d */
pdi = Lpi [d] ; /* pointer to first row of d in Ls */
pdend = Lpi [d+1] ; /* pointer just past last row of d in Ls */
p = Lpos [d] ; /* offset of 1st row of d affecting s */
pdi1 = pdi + p ; /* ptr to 1st row of d affecting s in Ls */
ndrow2 = pdend - pdi1;
nextd = Next[d];
nreverse++;
if ( ndrow2*L_ENTRY >= CHOLMOD_ND_ROW_LIMIT && ndcol*L_ENTRY >=
CHOLMOD_ND_COL_LIMIT ) {
/* place this supernode at the front of the list */
Next[previousd] = Next[d];
Next[d] = Head[*locals];
Head[*locals] = d;
}
else {
previousd = d;
}
d = nextd;
}
}
/* create a 'previous' list so we can traverse backwards */
*ndescendants = 0;
if ( Head[*locals] != EMPTY ) {
Previous[Head[*locals]] = EMPTY;
for (d = Head [*locals] ; d != EMPTY ; d = dnext) {
(*ndescendants)++;
dnext = Next[d];
if ( dnext != EMPTY ) {
Previous[dnext] = d;
}
else {
*tail = d;
}
}
}
return;
}
/* ========================================================================== */
/* === gpu_initialize_supernode ============================================= */
/* ========================================================================== */
/* C = L (k1:n-1, kd1:kd2-1) * L (k1:k2-1, kd1:kd2-1)', except that k1:n-1
*/
void TEMPLATE2 (CHOLMOD (gpu_initialize_supernode))
(
cholmod_common *Common,
Int nscol,
Int nsrow,
Int psi,
cholmod_gpu_pointers *gpu_p
)
{
cudaError_t cuErr;
/* initialize the device supernode assemby memory to zero */
cuErr = cudaMemset ( gpu_p->d_A[0], 0, nscol*nsrow*L_ENTRY*sizeof(double) );
CHOLMOD_HANDLE_CUDA_ERROR(cuErr,"cudaMemset(d_A)");
/* Create the Map on the device */
createMapOnDevice ( (Int *)(gpu_p->d_Map),
(Int *)(gpu_p->d_Ls), psi, nsrow );
return;
}
/* ========================================================================== */
/* === gpu_updateC ========================================================== */
/* ========================================================================== */
/* C = L (k1:n-1, kd1:kd2-1) * L (k1:k2-1, kd1:kd2-1)', except that k1:n-1
* refers to all of the rows in L, but many of the rows are all zero.
* Supernode d holds columns kd1 to kd2-1 of L. Nonzero rows in the range
* k1:k2-1 are in the list Ls [pdi1 ... pdi2-1], of size ndrow1. Nonzero rows
* in the range k2:n-1 are in the list Ls [pdi2 ... pdend], of size ndrow2.
* Let L1 = L (Ls [pdi1 ... pdi2-1], kd1:kd2-1), and let L2 = L (Ls [pdi2 ...
* pdend], kd1:kd2-1). C is ndrow2-by-ndrow1. Let C1 be the first ndrow1
* rows of C and let C2 be the last ndrow2-ndrow1 rows of C. Only the lower
* triangular part of C1 needs to be computed since C1 is symmetric.
*
* UpdateC is completely asynchronous w.r.t. the GPU. Once the input buffer
* d_Lx[] has been filled, all of the device operations are issues, and the
* host can continue with filling the next input buffer / or start processing
* all of the descendant supernodes which are not eligible for processing on
* the device (since they are too small - will not fill the device).
*/
int TEMPLATE2 (CHOLMOD (gpu_updateC))
(
Int ndrow1, /* C is ndrow2-by-ndrow2 */
Int ndrow2,
Int ndrow, /* leading dimension of Lx */
Int ndcol, /* L1 is ndrow1-by-ndcol */
Int nsrow,
Int pdx1, /* L1 starts at Lx + L_ENTRY*pdx1 */
/* L2 starts at Lx + L_ENTRY*(pdx1 + ndrow1) */
Int pdi1,
double *Lx,
double *C,
cholmod_common *Common,
cholmod_gpu_pointers *gpu_p
)
{
double *devPtrLx, *devPtrC ;
double alpha, beta ;
cublasStatus_t cublasStatus ;
cudaError_t cudaStat [2] ;
Int ndrow3 ;
int icol, irow;
int iHostBuff, iDevBuff ;
#ifndef NTIMER
double tstart = 0;
#endif
if ((ndrow2*L_ENTRY < CHOLMOD_ND_ROW_LIMIT) ||
(ndcol*L_ENTRY < CHOLMOD_ND_COL_LIMIT))
{
/* too small for the CUDA BLAS; use the CPU instead */
return (0) ;
}
ndrow3 = ndrow2 - ndrow1 ;
#ifndef NTIMER
Common->syrkStart = SuiteSparse_time ( ) ;
Common->CHOLMOD_GPU_SYRK_CALLS++ ;
#endif
/* ---------------------------------------------------------------------- */
/* allocate workspace on the GPU */
/* ---------------------------------------------------------------------- */
iHostBuff = (Common->ibuffer)%CHOLMOD_HOST_SUPERNODE_BUFFERS;
iDevBuff = (Common->ibuffer)%CHOLMOD_DEVICE_STREAMS;
/* cycle the device Lx buffer, d_Lx, through CHOLMOD_DEVICE_STREAMS,
usually 2, so we can overlap the copy of this descendent supernode
with the compute of the previous descendant supernode */
devPtrLx = (double *)(gpu_p->d_Lx[iDevBuff]);
/* very little overlap between kernels for difference descendant supernodes
(since we enforce the supernodes must be large enough to fill the
device) so we only need one C buffer */
devPtrC = (double *)(gpu_p->d_C);
/* ---------------------------------------------------------------------- */
/* copy Lx to the GPU */
/* ---------------------------------------------------------------------- */
/* copy host data to pinned buffer first for better H2D bandwidth */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) if (ndcol > 32)
for ( icol=0; icol<ndcol; icol++ ) {
for ( irow=0; irow<ndrow2*L_ENTRY; irow++ ) {
gpu_p->h_Lx[iHostBuff][icol*ndrow2*L_ENTRY+irow] =
Lx[pdx1*L_ENTRY+icol*ndrow*L_ENTRY + irow];
}
}
cudaStat[0] = cudaMemcpyAsync ( devPtrLx,
gpu_p->h_Lx[iHostBuff],
ndrow2*ndcol*L_ENTRY*sizeof(devPtrLx[0]),
cudaMemcpyHostToDevice,
Common->gpuStream[iDevBuff] );
if ( cudaStat[0] ) {
CHOLMOD_GPU_PRINTF ((" ERROR cudaMemcpyAsync = %d \n", cudaStat[0]));
return (0);
}
/* make the current stream wait for kernels in previous streams */
cudaStreamWaitEvent ( Common->gpuStream[iDevBuff],
Common->updateCKernelsComplete, 0 ) ;
/* ---------------------------------------------------------------------- */
/* create the relative map for this descendant supernode */
/* ---------------------------------------------------------------------- */
createRelativeMapOnDevice ( (Int *)(gpu_p->d_Map),
(Int *)(gpu_p->d_Ls),
(Int *)(gpu_p->d_RelativeMap),
pdi1, ndrow2,
&(Common->gpuStream[iDevBuff]) );
/* ---------------------------------------------------------------------- */
/* do the CUDA SYRK */
/* ---------------------------------------------------------------------- */
cublasStatus = cublasSetStream (Common->cublasHandle,
Common->gpuStream[iDevBuff]) ;
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS stream") ;
}
alpha = 1.0 ;
beta = 0.0 ;
#ifdef REAL
cublasStatus = cublasDsyrk (Common->cublasHandle,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_N,
(int) ndrow1,
(int) ndcol, /* N, K: L1 is ndrow1-by-ndcol */
&alpha, /* ALPHA: 1 */
devPtrLx,
ndrow2, /* A, LDA: L1, ndrow2 */
&beta, /* BETA: 0 */
devPtrC,
ndrow2) ; /* C, LDC: C1 */
#else
cublasStatus = cublasZherk (Common->cublasHandle,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_N,
(int) ndrow1,
(int) ndcol, /* N, K: L1 is ndrow1-by-ndcol*/
&alpha, /* ALPHA: 1 */
(const cuDoubleComplex *) devPtrLx,
ndrow2, /* A, LDA: L1, ndrow2 */
&beta, /* BETA: 0 */
(cuDoubleComplex *) devPtrC,
ndrow2) ; /* C, LDC: C1 */
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
#ifndef NTIMER
Common->CHOLMOD_GPU_SYRK_TIME += SuiteSparse_time() - Common->syrkStart;
#endif
/* ---------------------------------------------------------------------- */
/* compute remaining (ndrow2-ndrow1)-by-ndrow1 block of C, C2 = L2*L1' */
/* ---------------------------------------------------------------------- */
#ifndef NTIMER
Common->CHOLMOD_GPU_GEMM_CALLS++ ;
tstart = SuiteSparse_time();
#endif
if (ndrow3 > 0)
{
#ifndef REAL
cuDoubleComplex calpha = {1.0,0.0} ;
cuDoubleComplex cbeta = {0.0,0.0} ;
#endif
/* ------------------------------------------------------------------ */
/* do the CUDA BLAS dgemm */
/* ------------------------------------------------------------------ */
#ifdef REAL
alpha = 1.0 ;
beta = 0.0 ;
cublasStatus = cublasDgemm (Common->cublasHandle,
CUBLAS_OP_N, CUBLAS_OP_T,
ndrow3, ndrow1, ndcol, /* M, N, K */
&alpha, /* ALPHA: 1 */
devPtrLx + L_ENTRY*(ndrow1), /* A, LDA: L2*/
ndrow2, /* ndrow */
devPtrLx, /* B, LDB: L1 */
ndrow2, /* ndrow */
&beta, /* BETA: 0 */
devPtrC + L_ENTRY*ndrow1, /* C, LDC: C2 */
ndrow2) ;
#else
cublasStatus = cublasZgemm (Common->cublasHandle,
CUBLAS_OP_N, CUBLAS_OP_C,
ndrow3, ndrow1, ndcol, /* M, N, K */
&calpha, /* ALPHA: 1 */
(const cuDoubleComplex*) devPtrLx + ndrow1,
ndrow2, /* ndrow */
(const cuDoubleComplex *) devPtrLx,
ndrow2, /* ndrow */
&cbeta, /* BETA: 0 */
(cuDoubleComplex *)devPtrC + ndrow1,
ndrow2) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
}
#ifndef NTIMER
Common->CHOLMOD_GPU_GEMM_TIME += SuiteSparse_time() - tstart;
#endif
/* ------------------------------------------------------------------ */
/* Assemble the update C on the device using the d_RelativeMap */
/* ------------------------------------------------------------------ */
#ifdef REAL
addUpdateOnDevice ( gpu_p->d_A[0], devPtrC,
gpu_p->d_RelativeMap, ndrow1, ndrow2, nsrow,
&(Common->gpuStream[iDevBuff]) );
#else
addComplexUpdateOnDevice ( gpu_p->d_A[0], devPtrC,
gpu_p->d_RelativeMap, ndrow1, ndrow2, nsrow,
&(Common->gpuStream[iDevBuff]) );
#endif
/* Record an event indicating that kernels for
this descendant are complete */
cudaEventRecord ( Common->updateCKernelsComplete,
Common->gpuStream[iDevBuff]);
cudaEventRecord ( Common->updateCBuffersFree[iHostBuff],
Common->gpuStream[iDevBuff]);
return (1) ;
}
/* ========================================================================== */
/* === gpu_final_assembly =================================================== */
/* ========================================================================== */
/* If the supernode was assembled on both the CPU and the GPU, this will
* complete the supernode assembly on both the GPU and CPU.
*/
void TEMPLATE2 (CHOLMOD (gpu_final_assembly))
(
cholmod_common *Common,
double *Lx,
Int psx,
Int nscol,
Int nsrow,
int supernodeUsedGPU,
int *iHostBuff,
int *iDevBuff,
cholmod_gpu_pointers *gpu_p
)
{
Int iidx, i, j;
Int iHostBuff2 ;
Int iDevBuff2 ;
if ( supernodeUsedGPU ) {
/* ------------------------------------------------------------------ */
/* Apply all of the Shur-complement updates, computed on the gpu, to */
/* the supernode. */
/* ------------------------------------------------------------------ */
*iHostBuff = (Common->ibuffer)%CHOLMOD_HOST_SUPERNODE_BUFFERS;
*iDevBuff = (Common->ibuffer)%CHOLMOD_DEVICE_STREAMS;
if ( nscol * L_ENTRY >= CHOLMOD_POTRF_LIMIT ) {
/* If this supernode is going to be factored using the GPU (potrf)
* then it will need the portion of the update assembled ont the
* CPU. So copy that to a pinned buffer an H2D copy to device. */
/* wait until a buffer is free */
cudaEventSynchronize ( Common->updateCBuffersFree[*iHostBuff] );
/* copy update assembled on CPU to a pinned buffer */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if (nscol>32)
for ( j=0; j<nscol; j++ ) {
for ( i=j; i<nsrow*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
gpu_p->h_Lx[*iHostBuff][iidx] = Lx[psx*L_ENTRY+iidx];
}
}
/* H2D transfer of update assembled on CPU */
cudaMemcpyAsync ( gpu_p->d_A[1], gpu_p->h_Lx[*iHostBuff],
nscol*nsrow*L_ENTRY*sizeof(double),
cudaMemcpyHostToDevice,
Common->gpuStream[*iDevBuff] );
}
Common->ibuffer++;
iHostBuff2 = (Common->ibuffer)%CHOLMOD_HOST_SUPERNODE_BUFFERS;
iDevBuff2 = (Common->ibuffer)%CHOLMOD_DEVICE_STREAMS;
/* wait for all kernels to complete */
cudaEventSynchronize( Common->updateCKernelsComplete );
/* copy assembled Schur-complement updates computed on GPU */
cudaMemcpyAsync ( gpu_p->h_Lx[iHostBuff2], gpu_p->d_A[0],
nscol*nsrow*L_ENTRY*sizeof(double),
cudaMemcpyDeviceToHost,
Common->gpuStream[iDevBuff2] );
if ( nscol * L_ENTRY >= CHOLMOD_POTRF_LIMIT ) {
/* with the current implementation, potrf still uses data from the
* CPU - so put the fully assembled supernode in a pinned buffer for
* fastest access */
/* need both H2D and D2H copies to be complete */
cudaDeviceSynchronize();
/* sum updates from cpu and device on device */
#ifdef REAL
sumAOnDevice ( gpu_p->d_A[1], gpu_p->d_A[0], -1.0, nsrow, nscol );
#else
sumComplexAOnDevice ( gpu_p->d_A[1], gpu_p->d_A[0],
-1.0, nsrow, nscol );
#endif
/* place final assembled supernode in pinned buffer */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if (nscol>32)
for ( j=0; j<nscol; j++ ) {
for ( i=j*L_ENTRY; i<nscol*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
gpu_p->h_Lx[*iHostBuff][iidx] -=
gpu_p->h_Lx[iHostBuff2][iidx];
}
}
}
else
{
/* assemble with CPU updates */
cudaDeviceSynchronize();
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if (nscol>32)
for ( j=0; j<nscol; j++ ) {
for ( i=j*L_ENTRY; i<nsrow*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
Lx[psx*L_ENTRY+iidx] -= gpu_p->h_Lx[iHostBuff2][iidx];
}
}
}
}
return;
}
/* ========================================================================== */
/* === gpu_lower_potrf ====================================================== */
/* ========================================================================== */
/* Cholesky factorzation (dpotrf) of a matrix S, operating on the lower
* triangular part only. S is nscol2-by-nscol2 with leading dimension nsrow.
*
* S is the top part of the supernode (the lower triangular matrx).
* This function also copies the bottom rectangular part of the supernode (B)
* onto the GPU, in preparation for gpu_triangular_solve.
*/
/*
* On entry, d_A[1] contains the fully assembled supernode
*/
int TEMPLATE2 (CHOLMOD (gpu_lower_potrf))
(
Int nscol2, /* S is nscol2-by-nscol2 */
Int nsrow, /* leading dimension of S */
Int psx, /* S is located at Lx + L_ENTRY*psx */
double *Lx, /* contains S; overwritten with Cholesky factor */
Int *info, /* BLAS info return value */
cholmod_common *Common,
cholmod_gpu_pointers *gpu_p
)
{
double *devPtrA, *devPtrB, *A ;
double alpha, beta ;
cudaError_t cudaStat ;
cublasStatus_t cublasStatus ;
Int j, nsrow2, nb, n, gpu_lda, lda, gpu_ldb ;
int ilda, ijb, iinfo ;
#ifndef NTIMER
double tstart ;
#endif
if (nscol2 * L_ENTRY < CHOLMOD_POTRF_LIMIT)
{
/* too small for the CUDA BLAS; use the CPU instead */
return (0) ;
}
#ifndef NTIMER
tstart = SuiteSparse_time ( ) ;
Common->CHOLMOD_GPU_POTRF_CALLS++ ;
#endif
nsrow2 = nsrow - nscol2 ;
/* ---------------------------------------------------------------------- */
/* heuristic to get the block size depending of the problem size */
/* ---------------------------------------------------------------------- */
nb = 128 ;
if (nscol2 > 4096) nb = 256 ;
if (nscol2 > 8192) nb = 384 ;
n = nscol2 ;
gpu_lda = ((nscol2+31)/32)*32 ;
lda = nsrow ;
A = gpu_p->h_Lx[(Common->ibuffer+CHOLMOD_HOST_SUPERNODE_BUFFERS-1)%
CHOLMOD_HOST_SUPERNODE_BUFFERS];
/* ---------------------------------------------------------------------- */
/* determine the GPU leading dimension of B */
/* ---------------------------------------------------------------------- */
gpu_ldb = 0 ;
if (nsrow2 > 0)
{
gpu_ldb = ((nsrow2+31)/32)*32 ;
}
/* ---------------------------------------------------------------------- */
/* remember where device memory is, to be used by triangular solve later */
/* ---------------------------------------------------------------------- */
devPtrA = gpu_p->d_Lx[0];
devPtrB = gpu_p->d_Lx[1];
/* ---------------------------------------------------------------------- */
/* copy A from device to device */
/* ---------------------------------------------------------------------- */
cudaStat = cudaMemcpy2DAsync ( devPtrA,
gpu_lda * L_ENTRY * sizeof (devPtrA[0]),
gpu_p->d_A[1],
nsrow * L_ENTRY * sizeof (Lx[0]),
nscol2 * L_ENTRY * sizeof (devPtrA[0]),
nscol2,
cudaMemcpyDeviceToDevice,
Common->gpuStream[0] );
if ( cudaStat ) {
ERROR ( CHOLMOD_GPU_PROBLEM, "GPU memcopy device to device");
}
/* ---------------------------------------------------------------------- */
/* copy B in advance, for gpu_triangular_solve */
/* ---------------------------------------------------------------------- */
if (nsrow2 > 0)
{
cudaStat = cudaMemcpy2DAsync (devPtrB,
gpu_ldb * L_ENTRY * sizeof (devPtrB [0]),
gpu_p->d_A[1] + L_ENTRY*nscol2,
nsrow * L_ENTRY * sizeof (Lx [0]),
nsrow2 * L_ENTRY * sizeof (devPtrB [0]),
nscol2,
cudaMemcpyDeviceToDevice,
Common->gpuStream[0]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy to device") ;
}
}
/* ------------------------------------------------------------------ */
/* define the dpotrf stream */
/* ------------------------------------------------------------------ */
cublasStatus = cublasSetStream (Common->cublasHandle,
Common->gpuStream [0]) ;
if (cublasStatus != CUBLAS_STATUS_SUCCESS) {
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS stream") ;
}
/* ---------------------------------------------------------------------- */
/* block Cholesky factorization of S */
/* ---------------------------------------------------------------------- */
for (j = 0 ; j < n ; j += nb)
{
Int jb = nb < (n-j) ? nb : (n-j) ;
/* ------------------------------------------------------------------ */
/* do the CUDA BLAS dsyrk */
/* ------------------------------------------------------------------ */
alpha = -1.0 ;
beta = 1.0 ;
#ifdef REAL
cublasStatus = cublasDsyrk (Common->cublasHandle,
CUBLAS_FILL_MODE_LOWER, CUBLAS_OP_N, jb, j,
&alpha, devPtrA + j, gpu_lda,
&beta, devPtrA + j + j*gpu_lda, gpu_lda) ;
#else
cublasStatus = cublasZherk (Common->cublasHandle,
CUBLAS_FILL_MODE_LOWER, CUBLAS_OP_N, jb, j,
&alpha, (cuDoubleComplex*)devPtrA + j,
gpu_lda,
&beta,
(cuDoubleComplex*)devPtrA + j + j*gpu_lda,
gpu_lda) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
/* ------------------------------------------------------------------ */
cudaStat = cudaEventRecord (Common->cublasEventPotrf [0],
Common->gpuStream [0]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event failure") ;
}
cudaStat = cudaStreamWaitEvent (Common->gpuStream [1],
Common->cublasEventPotrf [0], 0) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event failure") ;
}
/* ------------------------------------------------------------------ */
/* copy back the jb columns on two different streams */
/* ------------------------------------------------------------------ */
cudaStat = cudaMemcpy2DAsync (A + L_ENTRY*(j + j*lda),
lda * L_ENTRY * sizeof (double),
devPtrA + L_ENTRY*(j + j*gpu_lda),
gpu_lda * L_ENTRY * sizeof (double),
L_ENTRY * sizeof (double)*jb,
jb,
cudaMemcpyDeviceToHost,
Common->gpuStream [1]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy from device") ;
}
/* ------------------------------------------------------------------ */
/* do the CUDA BLAS dgemm */
/* ------------------------------------------------------------------ */
if ((j+jb) < n)
{
#ifdef REAL
alpha = -1.0 ;
beta = 1.0 ;
cublasStatus = cublasDgemm (Common->cublasHandle,
CUBLAS_OP_N, CUBLAS_OP_T,
(n-j-jb), jb, j,
&alpha,
devPtrA + (j+jb), gpu_lda,
devPtrA + (j) , gpu_lda,
&beta,
devPtrA + (j+jb + j*gpu_lda), gpu_lda) ;
#else
cuDoubleComplex calpha = {-1.0,0.0} ;
cuDoubleComplex cbeta = { 1.0,0.0} ;
cublasStatus = cublasZgemm (Common->cublasHandle,
CUBLAS_OP_N, CUBLAS_OP_C,
(n-j-jb), jb, j,
&calpha,
(cuDoubleComplex*)devPtrA + (j+jb),
gpu_lda,
(cuDoubleComplex*)devPtrA + (j),
gpu_lda,
&cbeta,
(cuDoubleComplex*)devPtrA +
(j+jb + j*gpu_lda),
gpu_lda ) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
}
cudaStat = cudaStreamSynchronize (Common->gpuStream [1]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy to device") ;
}
/* ------------------------------------------------------------------ */
/* compute the Cholesky factorization of the jbxjb block on the CPU */
/* ------------------------------------------------------------------ */
ilda = (int) lda ;
ijb = jb ;
#ifdef REAL
LAPACK_DPOTRF ("L", &ijb, A + L_ENTRY * (j + j*lda), &ilda, &iinfo) ;
#else
LAPACK_ZPOTRF ("L", &ijb, A + L_ENTRY * (j + j*lda), &ilda, &iinfo) ;
#endif
*info = iinfo ;
if (*info != 0)
{
*info = *info + j ;
break ;
}
/* ------------------------------------------------------------------ */
/* copy the result back to the GPU */
/* ------------------------------------------------------------------ */
cudaStat = cudaMemcpy2DAsync (devPtrA + L_ENTRY*(j + j*gpu_lda),
gpu_lda * L_ENTRY * sizeof (double),
A + L_ENTRY * (j + j*lda),
lda * L_ENTRY * sizeof (double),
L_ENTRY * sizeof (double) * jb,
jb,
cudaMemcpyHostToDevice,
Common->gpuStream [0]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy to device") ;
}
/* ------------------------------------------------------------------ */
/* do the CUDA BLAS dtrsm */
/* ------------------------------------------------------------------ */
if ((j+jb) < n)
{
#ifdef REAL
alpha = 1.0 ;
cublasStatus = cublasDtrsm (Common->cublasHandle,
CUBLAS_SIDE_RIGHT,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_T, CUBLAS_DIAG_NON_UNIT,
(n-j-jb), jb,
&alpha,
devPtrA + (j + j*gpu_lda), gpu_lda,
devPtrA + (j+jb + j*gpu_lda), gpu_lda) ;
#else
cuDoubleComplex calpha = {1.0,0.0};
cublasStatus = cublasZtrsm (Common->cublasHandle,
CUBLAS_SIDE_RIGHT,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_C, CUBLAS_DIAG_NON_UNIT,
(n-j-jb), jb,
&calpha,
(cuDoubleComplex *)devPtrA +
(j + j*gpu_lda),
gpu_lda,
(cuDoubleComplex *)devPtrA +
(j+jb + j*gpu_lda),
gpu_lda) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
/* -------------------------------------------------------------- */
/* Copy factored column back to host. */
/* -------------------------------------------------------------- */
cudaStat = cudaEventRecord (Common->cublasEventPotrf[2],
Common->gpuStream[0]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event failure") ;
}
cudaStat = cudaStreamWaitEvent (Common->gpuStream[1],
Common->cublasEventPotrf[2], 0) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event failure") ;
}
cudaStat = cudaMemcpy2DAsync (A + L_ENTRY*(j + jb + j * lda),
lda * L_ENTRY * sizeof (double),
devPtrA + L_ENTRY*
(j + jb + j * gpu_lda),
gpu_lda * L_ENTRY * sizeof (double),
L_ENTRY * sizeof (double)*
(n - j - jb), jb,
cudaMemcpyDeviceToHost,
Common->gpuStream[1]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy to device") ;
}
}
}
#ifndef NTIMER
Common->CHOLMOD_GPU_POTRF_TIME += SuiteSparse_time ( ) - tstart ;
#endif
return (1) ;
}
/* ========================================================================== */
/* === gpu_triangular_solve ================================================= */
/* ========================================================================== */
/* The current supernode is columns k1 to k2-1 of L. Let L1 be the diagonal
* block (factorized by dpotrf/zpotrf above; rows/cols k1:k2-1), and L2 be rows
* k2:n-1 and columns k1:k2-1 of L. The triangular system to solve is L2*L1' =
* S2, where S2 is overwritten with L2. More precisely, L2 = S2 / L1' in
* MATLAB notation.
*/
/* Version with pre-allocation in POTRF */
int TEMPLATE2 (CHOLMOD (gpu_triangular_solve))
(
Int nsrow2, /* L1 and S2 are nsrow2-by-nscol2 */
Int nscol2, /* L1 is nscol2-by-nscol2 */
Int nsrow, /* leading dimension of L1, L2, and S2 */
Int psx, /* L1 is at Lx+L_ENTRY*psx;
* L2 at Lx+L_ENTRY*(psx+nscol2)*/
double *Lx, /* holds L1, L2, and S2 */
cholmod_common *Common,
cholmod_gpu_pointers *gpu_p
)
{
double *devPtrA, *devPtrB ;
cudaError_t cudaStat ;
cublasStatus_t cublasStatus ;
Int gpu_lda, gpu_ldb, gpu_rowstep ;
Int gpu_row_start = 0 ;
Int gpu_row_max_chunk, gpu_row_chunk;
int ibuf = 0;
int iblock = 0;
int iHostBuff = (Common->ibuffer+CHOLMOD_HOST_SUPERNODE_BUFFERS-1) %
CHOLMOD_HOST_SUPERNODE_BUFFERS;
int i, j;
Int iidx;
int iwrap;
#ifndef NTIMER
double tstart ;
#endif
#ifdef REAL
double alpha = 1.0 ;
gpu_row_max_chunk = 768;
#else
cuDoubleComplex calpha = {1.0,0.0} ;
gpu_row_max_chunk = 256;
#endif
if ( nsrow2 <= 0 )
{
return (0) ;
}
#ifndef NTIMER
tstart = SuiteSparse_time ( ) ;
Common->CHOLMOD_GPU_TRSM_CALLS++ ;
#endif
gpu_lda = ((nscol2+31)/32)*32 ;
gpu_ldb = ((nsrow2+31)/32)*32 ;
devPtrA = gpu_p->d_Lx[0];
devPtrB = gpu_p->d_Lx[1];
/* make sure the copy of B has completed */
cudaStreamSynchronize( Common->gpuStream[0] );
/* ---------------------------------------------------------------------- */
/* do the CUDA BLAS dtrsm */
/* ---------------------------------------------------------------------- */
while ( gpu_row_start < nsrow2 )
{
gpu_row_chunk = nsrow2 - gpu_row_start;
if ( gpu_row_chunk > gpu_row_max_chunk ) {
gpu_row_chunk = gpu_row_max_chunk;
}
cublasStatus = cublasSetStream ( Common->cublasHandle,
Common->gpuStream[ibuf] );
if ( cublasStatus != CUBLAS_STATUS_SUCCESS )
{
ERROR ( CHOLMOD_GPU_PROBLEM, "GPU CUBLAS stream");
}
#ifdef REAL
cublasStatus = cublasDtrsm (Common->cublasHandle,
CUBLAS_SIDE_RIGHT,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_T,
CUBLAS_DIAG_NON_UNIT,
gpu_row_chunk,
nscol2,
&alpha,
devPtrA,
gpu_lda,
devPtrB + gpu_row_start,
gpu_ldb) ;
#else
cublasStatus = cublasZtrsm (Common->cublasHandle,
CUBLAS_SIDE_RIGHT,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_C,
CUBLAS_DIAG_NON_UNIT,
gpu_row_chunk,
nscol2,
&calpha,
(const cuDoubleComplex *) devPtrA,
gpu_lda,
(cuDoubleComplex *)devPtrB + gpu_row_start ,
gpu_ldb) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
/* ------------------------------------------------------------------ */
/* copy result back to the CPU */
/* ------------------------------------------------------------------ */
cudaStat = cudaMemcpy2DAsync (
gpu_p->h_Lx[iHostBuff] +
L_ENTRY*(nscol2+gpu_row_start),
nsrow * L_ENTRY * sizeof (Lx [0]),
devPtrB + L_ENTRY*gpu_row_start,
gpu_ldb * L_ENTRY * sizeof (devPtrB [0]),
gpu_row_chunk * L_ENTRY *
sizeof (devPtrB [0]),
nscol2,
cudaMemcpyDeviceToHost,
Common->gpuStream[ibuf]);
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy from device") ;
}
cudaEventRecord ( Common->updateCBuffersFree[ibuf],
Common->gpuStream[ibuf] );
gpu_row_start += gpu_row_chunk;
ibuf++;
ibuf = ibuf % CHOLMOD_HOST_SUPERNODE_BUFFERS;
iblock ++;
if ( iblock >= CHOLMOD_HOST_SUPERNODE_BUFFERS )
{
Int gpu_row_start2 ;
Int gpu_row_end ;
/* then CHOLMOD_HOST_SUPERNODE_BUFFERS worth of work has been
* scheduled, so check for completed events and copy result into
* Lx before continuing. */
cudaEventSynchronize ( Common->updateCBuffersFree
[iblock%CHOLMOD_HOST_SUPERNODE_BUFFERS] );
/* copy into Lx */
gpu_row_start2 = nscol2 +
(iblock-CHOLMOD_HOST_SUPERNODE_BUFFERS)
*gpu_row_max_chunk;
gpu_row_end = gpu_row_start2+gpu_row_max_chunk;
if ( gpu_row_end > nsrow ) gpu_row_end = nsrow;
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if ( nscol2 > 32 )
for ( j=0; j<nscol2; j++ ) {
for ( i=gpu_row_start2*L_ENTRY; i<gpu_row_end*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
Lx[psx*L_ENTRY+iidx] = gpu_p->h_Lx[iHostBuff][iidx];
}
}
}
}
/* Convenient to copy the L1 block here */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private ( iidx ) if ( nscol2 > 32 )
for ( j=0; j<nscol2; j++ ) {
for ( i=j*L_ENTRY; i<nscol2*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY + i;
Lx[psx*L_ENTRY+iidx] = gpu_p->h_Lx[iHostBuff][iidx];
}
}
/* now account for the last HSTREAMS buffers */
for ( iwrap=0; iwrap<CHOLMOD_HOST_SUPERNODE_BUFFERS; iwrap++ )
{
int i, j;
Int gpu_row_start2 = nscol2 + (iblock-CHOLMOD_HOST_SUPERNODE_BUFFERS)
*gpu_row_max_chunk;
if (iblock-CHOLMOD_HOST_SUPERNODE_BUFFERS >= 0 &&
gpu_row_start2 < nsrow )
{
Int iidx;
Int gpu_row_end = gpu_row_start2+gpu_row_max_chunk;
if ( gpu_row_end > nsrow ) gpu_row_end = nsrow;
cudaEventSynchronize ( Common->updateCBuffersFree
[iblock%CHOLMOD_HOST_SUPERNODE_BUFFERS] );
/* copy into Lx */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if ( nscol2 > 32 )
for ( j=0; j<nscol2; j++ ) {
for ( i=gpu_row_start2*L_ENTRY; i<gpu_row_end*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
Lx[psx*L_ENTRY+iidx] = gpu_p->h_Lx[iHostBuff][iidx];
}
}
}
iblock++;
}
/* ---------------------------------------------------------------------- */
/* return */
/* ---------------------------------------------------------------------- */
#ifndef NTIMER
Common->CHOLMOD_GPU_TRSM_TIME += SuiteSparse_time ( ) - tstart ;
#endif
return (1) ;
}
/* ========================================================================== */
/* === gpu_copy_supernode =================================================== */
/* ========================================================================== */
/*
* In the event gpu_triangular_sovle is not needed / called, this routine
* copies the factored diagonal block from the GPU to the CPU.
*/
void TEMPLATE2 (CHOLMOD (gpu_copy_supernode))
(
cholmod_common *Common,
double *Lx,
Int psx,
Int nscol,
Int nscol2,
Int nsrow,
int supernodeUsedGPU,
int iHostBuff,
cholmod_gpu_pointers *gpu_p
)
{
Int iidx, i, j;
if ( supernodeUsedGPU && nscol2 * L_ENTRY >= CHOLMOD_POTRF_LIMIT ) {
cudaDeviceSynchronize();
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx,i,j) if (nscol>32)
for ( j=0; j<nscol; j++ ) {
for ( i=j*L_ENTRY; i<nscol*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
Lx[psx*L_ENTRY+iidx] = gpu_p->h_Lx[iHostBuff][iidx];
}
}
}
return;
}
#endif
#undef REAL
#undef COMPLEX
#undef ZOMPLEX
|
par_cheby.c | /******************************************************************************
* Copyright 1998-2019 Lawrence Livermore National Security, LLC and other
* HYPRE Project Developers. See the top-level COPYRIGHT file for details.
*
* SPDX-License-Identifier: (Apache-2.0 OR MIT)
******************************************************************************/
/******************************************************************************
*
* Chebyshev setup and solve
*
*****************************************************************************/
#include "_hypre_parcsr_ls.h"
#include "_hypre_parcsr_mv.h"
#include "float.h"
/******************************************************************************
Chebyshev relaxation
Can specify order 1-4 (this is the order of the resid polynomial)- here we
explicitly code the coefficients (instead of
iteratively determining)
variant 0: standard chebyshev
this is rlx 11 if scale = 0, and 16 if scale == 1
variant 1: modified cheby: T(t)* f(t) where f(t) = (1-b/t)
this is rlx 15 if scale = 0, and 17 if scale == 1
ratio indicates the percentage of the whole spectrum to use (so .5
means half, and .1 means 10percent)
*******************************************************************************/
/**
* @brief Setups of coefficients (and optional diagonal scaling elements) for
* Chebyshev relaxation
*
* Will calculate ds_ptr on device/host depending on where A is located
*
* @param[in] A Matrix for which to seteup
* @param[in] max_eig Maximum eigenvalue
* @param[in] min_eig Maximum eigenvalue
* @param[in] fraction Fraction used to calculate lower bound
* @param[in] order Polynomial order to use [1,4]
* @param[in] scale Whether or not to scale by the diagonal
* @param[in] variant Whether or not to use a variant of Chebyshev (0 standard, 1 variant)
* @param[out] coefs_ptr *coefs_ptr will be allocated to contain coefficients of the polynomial
* @param[out] ds_ptr *ds_ptr will be allocated to allow scaling by the diagonal
*/
HYPRE_Int
hypre_ParCSRRelax_Cheby_Setup(hypre_ParCSRMatrix *A, /* matrix to relax with */
HYPRE_Real max_eig,
HYPRE_Real min_eig,
HYPRE_Real fraction,
HYPRE_Int order, /* polynomial order */
HYPRE_Int scale, /* scale by diagonal?*/
HYPRE_Int variant,
HYPRE_Real **coefs_ptr,
HYPRE_Real **ds_ptr) /* initial/updated approximation */
{
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real theta, delta;
HYPRE_Real den;
HYPRE_Real upper_bound = 0.0, lower_bound = 0.0;
HYPRE_Int num_rows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Real *coefs = NULL;
HYPRE_Int cheby_order;
HYPRE_Real *ds_data = NULL;
/* u = u + p(A)r */
if (order > 4)
{
order = 4;
}
if (order < 1)
{
order = 1;
}
coefs = hypre_CTAlloc(HYPRE_Real, order+1, HYPRE_MEMORY_HOST);
/* we are using the order of p(A) */
cheby_order = order - 1;
if (min_eig >= 0.0)
{
/* make sure we are large enough - Adams et al. 2003 */
upper_bound = max_eig * 1.1;
/* lower_bound = max_eig/fraction; */
lower_bound = (upper_bound - min_eig) * fraction + min_eig;
}
else if (max_eig <= 0.0)
{
upper_bound = min_eig * 1.1;
lower_bound = max_eig - (max_eig - upper_bound) * fraction;
}
/* theta and delta */
theta = (upper_bound + lower_bound)/2;
delta = (upper_bound - lower_bound)/2;
if (variant == 1)
{
switch ( cheby_order ) /* these are the corresponding cheby polynomials: u = u_o + s(A)r_0 - so order is
one less that resid poly: r(t) = 1 - t*s(t) */
{
case 0:
coefs[0] = 1.0/theta;
break;
case 1: /* (del - t + 2*th)/(th^2 + del*th) */
den = (theta*theta + delta*theta);
coefs[0] = (delta + 2*theta)/den;
coefs[1] = -1.0/den;
break;
case 2: /* (4*del*th - del^2 - t*(2*del + 6*th) + 2*t^2 + 6*th^2)/(2*del*th^2 - del^2*th - del^3 + 2*th^3)*/
den = 2*delta*theta*theta - delta*delta*theta - pow(delta,3) + 2*pow(theta,3);
coefs[0] = (4*delta*theta - pow(delta,2) + 6*pow(theta,2))/den;
coefs[1] = -(2*delta + 6*theta)/den;
coefs[2] = 2/den;
break;
case 3: /* -(6*del^2*th - 12*del*th^2 - t^2*(4*del + 16*th) + t*(12*del*th - 3*del^2 + 24*th^2) + 3*del^3 + 4*t^3 - 16*th^3)/(4*del*th^3 - 3*del^2*th^2 - 3*del^3*th + 4*th^4)*/
den = - (4*delta*pow(theta,3) - 3*pow(delta,2)*pow(theta,2) - 3*pow(delta,3)*theta + 4*pow(theta,4) );
coefs[0] = (6*pow(delta,2)*theta - 12*delta*pow(theta,2) + 3*pow(delta,3) - 16*pow(theta,3) )/den;
coefs[1] = (12*delta*theta - 3*pow(delta,2) + 24*pow(theta,2))/den;
coefs[2] = -( 4*delta + 16*theta)/den;
coefs[3] = 4/den;
break;
}
}
else /* standard chebyshev */
{
switch ( cheby_order ) /* these are the corresponding cheby polynomials: u = u_o + s(A)r_0 - so order is
one less thatn resid poly: r(t) = 1 - t*s(t) */
{
case 0:
coefs[0] = 1.0/theta;
break;
case 1: /* ( 2*t - 4*th)/(del^2 - 2*th^2) */
den = delta*delta - 2*theta*theta;
coefs[0] = -4*theta/den;
coefs[1] = 2/den;
break;
case 2: /* (3*del^2 - 4*t^2 + 12*t*th - 12*th^2)/(3*del^2*th - 4*th^3)*/
den = 3*(delta*delta)*theta - 4*(theta*theta*theta);
coefs[0] = (3*delta*delta - 12 *theta*theta)/den;
coefs[1] = 12*theta/den;
coefs[2] = -4/den;
break;
case 3: /*(t*(8*del^2 - 48*th^2) - 16*del^2*th + 32*t^2*th - 8*t^3 + 32*th^3)/(del^4 - 8*del^2*th^2 + 8*th^4)*/
den = pow(delta,4) - 8*delta*delta*theta*theta + 8*pow(theta,4);
coefs[0] = (32*pow(theta,3)- 16*delta*delta*theta)/den;
coefs[1] = (8*delta*delta - 48*theta*theta)/den;
coefs[2] = 32*theta/den;
coefs[3] = -8/den;
break;
}
}
*coefs_ptr = coefs;
if (scale)
{
/*grab 1/sqrt(abs(diagonal)) */
ds_data = hypre_CTAlloc(HYPRE_Real, num_rows, hypre_ParCSRMatrixMemoryLocation(A));
hypre_CSRMatrixExtractDiagonal(hypre_ParCSRMatrixDiag(A), ds_data, 4);
} /* end of scaling code */
*ds_ptr = ds_data;
return hypre_error_flag;
}
/**
* @brief Solve using a chebyshev polynomial on the host
*
* @param[in] A Matrix to relax with
* @param[in] f right-hand side
* @param[in] ds_data Diagonal information
* @param[in] coefs Polynomial coefficients
* @param[in] order Order of the polynomial
* @param[in] scale Whether or not to scale by diagonal
* @param[in] scale Whether or not to use a variant
* @param[in,out] u Initial/updated approximation
* @param[in] v Temp vector
* @param[in] r Temp Vector
* @param[in] orig_u_vec Temp Vector
* @param[in] tmp Temp Vector
*/
HYPRE_Int
hypre_ParCSRRelax_Cheby_SolveHost(hypre_ParCSRMatrix *A, /* matrix to relax with */
hypre_ParVector *f, /* right-hand side */
HYPRE_Real *ds_data,
HYPRE_Real *coefs,
HYPRE_Int order, /* polynomial order */
HYPRE_Int scale, /* scale by diagonal?*/
HYPRE_Int variant,
hypre_ParVector *u, /* initial/updated approximation */
hypre_ParVector *v, /* temporary vector */
hypre_ParVector *r, /* another vector */
hypre_ParVector *orig_u_vec, /*another temp vector */
hypre_ParVector *tmp_vec) /*a potential temp vector */
{
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *u_data = hypre_VectorData(hypre_ParVectorLocalVector(u));
HYPRE_Real *f_data = hypre_VectorData(hypre_ParVectorLocalVector(f));
HYPRE_Real *v_data = hypre_VectorData(hypre_ParVectorLocalVector(v));
HYPRE_Real *r_data = hypre_VectorData(hypre_ParVectorLocalVector(r));
HYPRE_Int i, j;
HYPRE_Int num_rows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Real mult;
HYPRE_Real *orig_u;
HYPRE_Int cheby_order;
HYPRE_Real *tmp_data;
/* u = u + p(A)r */
if (order > 4)
order = 4;
if (order < 1)
order = 1;
/* we are using the order of p(A) */
cheby_order = order -1;
hypre_assert(hypre_VectorSize(hypre_ParVectorLocalVector(orig_u_vec)) >= num_rows);
orig_u = hypre_VectorData(hypre_ParVectorLocalVector(orig_u_vec));
if (!scale)
{
/* get residual: r = f - A*u */
hypre_ParVectorCopy(f, r);
hypre_ParCSRMatrixMatvec(-1.0, A, u, 1.0, r);
/* o = u; u = r .* coef */
for ( i = 0; i < num_rows; i++ )
{
orig_u[i] = u_data[i];
u_data[i] = r_data[i] * coefs[cheby_order];
}
for (i = cheby_order - 1; i >= 0; i-- )
{
hypre_ParCSRMatrixMatvec(1.0, A, u, 0.0, v);
mult = coefs[i];
/* u = mult * r + v */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for ( j = 0; j < num_rows; j++ )
{
u_data[j] = mult * r_data[j] + v_data[j];
}
}
/* u = o + u */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for ( i = 0; i < num_rows; i++ )
{
u_data[i] = orig_u[i] + u_data[i];
}
}
else /* scaling! */
{
/*grab 1/sqrt(diagonal) */
tmp_data = hypre_VectorData(hypre_ParVectorLocalVector(tmp_vec));
/* get ds_data and get scaled residual: r = D^(-1/2)f -
* D^(-1/2)A*u */
hypre_ParCSRMatrixMatvec(-1.0, A, u, 0.0, tmp_vec);
/* r = ds .* (f + tmp) */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for ( j = 0; j < num_rows; j++ )
{
r_data[j] = ds_data[j] * (f_data[j] + tmp_data[j]);
}
/* save original u, then start
the iteration by multiplying r by the cheby coef.*/
/* o = u; u = r * coef */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for ( j = 0; j < num_rows; j++ )
{
orig_u[j] = u_data[j]; /* orig, unscaled u */
u_data[j] = r_data[j] * coefs[cheby_order];
}
/* now do the other coefficients */
for (i = cheby_order - 1; i >= 0; i-- )
{
/* v = D^(-1/2)AD^(-1/2)u */
/* tmp = ds .* u */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for ( j = 0; j < num_rows; j++ )
{
tmp_data[j] = ds_data[j] * u_data[j];
}
hypre_ParCSRMatrixMatvec(1.0, A, tmp_vec, 0.0, v);
/* u_new = coef*r + v*/
mult = coefs[i];
/* u = coef * r + ds .* v */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for ( j = 0; j < num_rows; j++ )
{
u_data[j] = mult * r_data[j] + ds_data[j]*v_data[j];
}
} /* end of cheby_order loop */
/* now we have to scale u_data before adding it to u_orig*/
/* u = orig_u + ds .* u */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for ( j = 0; j < num_rows; j++ )
{
u_data[j] = orig_u[j] + ds_data[j]*u_data[j];
}
}/* end of scaling code */
return hypre_error_flag;
}
/**
* @brief Solve using a chebyshev polynomial
*
* Determines whether to solve on host or device
*
* @param[in] A Matrix to relax with
* @param[in] f right-hand side
* @param[in] ds_data Diagonal information
* @param[in] coefs Polynomial coefficients
* @param[in] order Order of the polynomial
* @param[in] scale Whether or not to scale by diagonal
* @param[in] scale Whether or not to use a variant
* @param[in,out] u Initial/updated approximation
* @param[out] v Temp vector
* @param[out] r Temp Vector
* @param[out] orig_u_vec Temp Vector
* @param[out] tmp_vec Temp Vector
*/
HYPRE_Int
hypre_ParCSRRelax_Cheby_Solve(hypre_ParCSRMatrix *A, /* matrix to relax with */
hypre_ParVector *f, /* right-hand side */
HYPRE_Real *ds_data,
HYPRE_Real *coefs,
HYPRE_Int order, /* polynomial order */
HYPRE_Int scale, /* scale by diagonal?*/
HYPRE_Int variant,
hypre_ParVector *u, /* initial/updated approximation */
hypre_ParVector *v, /* temporary vector */
hypre_ParVector *r, /*another temp vector */
hypre_ParVector *orig_u_vec, /*another temp vector */
hypre_ParVector *tmp_vec) /*another temp vector */
{
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPushRange("ParCSRRelaxChebySolve");
#endif
HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy1(hypre_ParCSRMatrixMemoryLocation(A));
HYPRE_Int ierr = 0;
if (exec == HYPRE_EXEC_HOST)
{
ierr = hypre_ParCSRRelax_Cheby_SolveHost(A, f, ds_data, coefs, order, scale, variant, u, v, r, orig_u_vec, tmp_vec);
}
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
else
{
ierr = hypre_ParCSRRelax_Cheby_SolveDevice(A, f, ds_data, coefs, order, scale, variant, u, v, r, orig_u_vec, tmp_vec);
}
#endif
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPopRange();
#endif
return ierr;
}
|
parser.c | /*****************************************************************************
*
* Elmer, A Finite Element Software for Multiphysical Problems
*
* Copyright 1st April 1995 - , CSC - IT Center for Science Ltd., Finland
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library (in file ../LGPL-2.1); if not, write
* to the Free Software Foundation, Inc., 51 Franklin Street,
* Fifth Floor, Boston, MA 02110-1301 USA
*
*****************************************************************************/
/*******************************************************************************
*
* MATC language/expression parser.
*
*******************************************************************************
*
* Author: Juha Ruokolainen
*
* Address: CSC - IT Center for Science Ltd.
* Keilaranta 14, P.O. BOX 405
* 02101 Espoo, Finland
* Tel. +358 0 457 2723
* Telefax: +358 0 457 2302
* EMail: Juha.Ruokolainen@csc.fi
*
* Date: 30 May 1996
*
* Modified by:
*
* Date of modification:
*
******************************************************************************/
/***********************************************************************
|
| PARSER.C - Last Edited 8. 8. 1988
|
***********************************************************************/
/*======================================================================
|Syntax of the manual pages:
|
|FUNCTION NAME(...) params ...
|
$ usage of the function and type of the parameters
? explane the effects of the function
= return value and the type of value if not of type int
@ globals effected directly by this routine
! current known bugs or limitations
& functions called by this function
~ these functions may interest you as an alternative function or
| because they control this function somehow
^=====================================================================*/
/*
* $Id: parser.c,v 1.5 2006/11/22 10:57:14 jpr Exp $
*
* $Log: parser.c,v $
* Revision 1.5 2006/11/22 10:57:14 jpr
* *** empty log message ***
*
* Revision 1.4 2006/02/02 06:54:44 jpr
* small formatting changes.
*
* Revision 1.2 2005/05/27 12:26:21 vierinen
* changed header install location
*
* Revision 1.1.1.1 2005/04/14 13:29:14 vierinen
* initial matc automake package
*
* Revision 1.2 1998/08/01 12:34:54 jpr
*
* Added Id, started Log.
*
*
*/
#include "elmer/matc.h"
static SYMTYPE symbol, bendsym;
static char *str, csymbol[4096], buf[4096];
#pragma omp threadprivate (symbol, bendsym, str, csymbol, buf)
int char_in_list(int ch, char *list)
{
char *p;
for(p = list; *p != '\0'; p++)
if (*p == ch) return TRUE;
return FALSE;
}
void scan()
{
char *p, ch;
int i;
symbol = nullsym;
if ( *str == '\0' ) return;
while( isspace(*str) ) str++;
if (*str == '\0') return;
p = str;
if (isdigit(*str) || (*str == '.' && isdigit(*(str+1))))
{
str++; while(isdigit(*str)) str++;
if (*str == '.')
{
str++;
if (isdigit(*str))
{
while(isdigit(*str)) str++;
}
else if ( *str != '\0' && *str != 'e' && *str != 'E' && *str != 'd' && *str != 'D' )
{
error("Badly formed number.\n");
}
}
if ( *str == 'd' || *str == 'D' ) *str = 'e';
if (*str == 'e' || *str=='E' )
{
str++;
if (isdigit(*str))
{
while(isdigit(*str)) str++;
}
else if (char_in_list(*str,"+-"))
{
str++;
if (isdigit(*str))
{
while(isdigit(*str)) str++;
}
else
{
error("Badly formed number.\n");
}
}
else
{
error("Badly formed number.\n");
}
}
symbol = number;
}
else if (isalpha(*str) || char_in_list(*str, symchars))
{
while(isalnum(*str) || char_in_list(*str, symchars)) str++;
ch = *str; *str = '\0';
for(i = 0; reswords[i] != NULL; i++)
if (strcmp(p, reswords[i]) == 0)
{
symbol = rsymbols[i]; break;
}
if (reswords[i] == NULL) symbol = name;
*str = ch;
}
else if (*str == '"')
{
str++;
while(*str != '"' && *str != '\0')
{
if (*str++ == '\\') str++;
}
if (*str == '\0')
{
error("String not terminated.\n");
}
str++; symbol = string;
}
else if (char_in_list(*str, csymbols))
{
for(i = 0; *str != csymbols[i]; i++);
symbol = ssymbols[i];
str++;
if (*str == '=')
switch(symbol)
{
case assignsym:
symbol = eq; str++; break;
case lt:
symbol = le; str++; break;
case gt:
symbol = ge; str++; break;
case indclose: case rightpar:
break;
default:
error("Syntax error.\n");
}
if (*str == '>')
if (symbol == lt)
{
symbol = neq; str++;
}
}
else
{
error("Syntax error.\n");
}
ch = *str;
*str = '\0';
strcpy( csymbol, p );
*str = ch;
return;
}
TREE *newtree()
{
return (TREE *)ALLOCMEM(sizeof(TREE));
}
TREE *args(minp, maxp)
int minp, maxp;
{
TREE *treeptr, *root;
int numgot = 0;
root = treeptr = equation();
numgot++;
while(symbol == argsep)
{
scan();
NEXT(treeptr) = equation();
treeptr = NEXT(treeptr);
numgot++;
if (numgot > maxp) error("Too many parameters.\n");
}
if (numgot < minp) error("Too few parameters.\n");
return root;
}
TREE *nameorvar()
{
TREE *root, *treeptr, *prevtree, *tp;
SYMTYPE sym = nullsym;
int i, slen;
char *tstr;
root = treeptr = prevtree = newtree();
if (symbol == minus && !isspace(*str) &&
(str-2<buf || isspace(*(str-2)) || char_in_list(*(str-2),"{};=[(\\<>&|+-*/^,")))
{
sym = minus; scan();
}
if (symbol != name && symbol != number &&
symbol != string && symbol != leftpar)
{
error("Expecting identifier, constant or leftpar.\n");
}
while(symbol == name || symbol == number ||
symbol == string || symbol == leftpar)
{
switch(symbol)
{
case name:
SDATA(treeptr) = STRCOPY(csymbol);
ETYPE(treeptr) = ETYPE_NAME;
if (*str == '(' || *str == '[')
{
scan(); scan(); ARGS(treeptr) = args(0, 10000);
if (symbol != rightpar && symbol != indclose)
{
error("Expecting closing parenthesis.\n");
}
}
break;
case string:
tstr = csymbol + 1;
tstr[strlen(tstr)-1] = '\0';
slen = strlen(tstr);
for(i = 0; i < strlen(tstr); i++)
if (tstr[i] == '\\')
switch(tstr[++i])
{
case 'n': break;
default: slen--;
break;
}
SDATA(treeptr) = (char *)ALLOCMEM(slen+1);
for(i = 0; *tstr != '\0'; i++, tstr++)
if (*tstr == '\\')
switch(*++tstr)
{
case 'n':
SDATA(treeptr)[i++] = '\r';
SDATA(treeptr)[i] = '\n';
break;
case 't':
SDATA(treeptr)[i] = '\t';
break;
case 'v':
SDATA(treeptr)[i] = '\v';
break;
case 'b':
SDATA(treeptr)[i] = '\b';
break;
case 'r':
SDATA(treeptr)[i] = '\r';
break;
case 'f':
SDATA(treeptr)[i] = '\f';
break;
case 'e':
SDATA(treeptr)[i] = 27;
break;
default:
SDATA(treeptr)[i] = *tstr;
break;
}
else
SDATA(treeptr)[i] = *tstr;
ETYPE(treeptr) = ETYPE_STRING;
break;
case number:
DDATA(treeptr) = atof(csymbol);
ETYPE(treeptr) = ETYPE_NUMBER;
break;
case leftpar:
scan(); LEFT(treeptr) = equation();
if (symbol != rightpar)
{
error("Right paranthesis missing.\n");
}
ETYPE(treeptr) = ETYPE_EQUAT;
break;
}
if (*str == '[')
{
scan(); scan(); SUBS(treeptr) = args(1,2);
if (symbol != rightpar && symbol != indclose)
{
error("Expecting closing parenthesis.\n");
}
}
if (sym == minus)
{
tp = newtree();
VDATA(tp) = opr_minus;
ETYPE(tp) = ETYPE_OPER;
LEFT(tp) = treeptr;
if (root == treeptr)
root = treeptr = tp;
else
LINK(prevtree) = treeptr = tp;
}
sym = symbol;
scan();
if (symbol == minus && !isspace(*str) &&
(str-2<buf || isspace(*(str-2)) || char_in_list(*(str-2),"{};=([\\<>&|+-*/^,")))
{
sym = minus;
if (*str == '-' && !isspace(*(str + 1)))
{
break;
}
else if (*str == '-')
error("Syntax error.\n");
scan();
if (symbol != name && symbol != number &&
symbol != string && symbol != leftpar)
{
error("Expecting identifier, constant or leftpar.\n");
}
}
if (symbol == name || symbol == number ||
symbol == string || symbol == leftpar)
{
prevtree = treeptr; LINK(treeptr) = newtree(); treeptr = LINK(treeptr);
}
}
return root;
}
TREE *par_apply(root)
TREE *root;
{
TREE *newroot;
newroot = newtree();
switch(symbol)
{
case apply:
VDATA(newroot) = opr_apply;
break;
case not:
VDATA(newroot) = opr_not;
break;
}
ETYPE(newroot) = ETYPE_OPER;
scan();
if (symbol == apply || symbol == not)
LEFT(newroot) = par_apply(newroot);
else
LEFT(newroot) = nameorvar();
return newroot;
}
TREE *par_trans(root)
TREE *root;
{
TREE *newroot;
while(symbol == transpose)
{
newroot = newtree();
LEFT(newroot) = root;
VDATA(newroot) = opr_trans;
ETYPE(newroot) = ETYPE_OPER;
root = newroot;
scan();
}
return newroot;
}
TREE *par_pow(root)
TREE *root;
{
TREE *newroot;
while(symbol == power)
{
newroot = newtree();
LEFT(newroot) = root;
VDATA(newroot) = opr_pow;
ETYPE(newroot) = ETYPE_OPER;
root = newroot;
scan(); RIGHT(newroot) = nameorvar();
switch(symbol)
{
case transpose:
RIGHT(newroot) = par_trans(RIGHT(newroot));
break;
case apply: case not:
RIGHT(newroot) = par_apply(RIGHT(newroot));
break;
}
}
return newroot;
}
TREE *par_timesdivide(root)
TREE *root;
{
TREE *newroot;
while(symbol == times || symbol == ptimes || symbol == divide)
{
newroot = newtree();
LEFT(newroot) = root;
switch(symbol)
{
case times:
VDATA(newroot) = opr_mul;
break;
case ptimes:
VDATA(newroot) = opr_pmul;
break;
case divide:
VDATA(newroot) = opr_div;
break;
}
ETYPE(newroot) = ETYPE_OPER;
root = newroot;
scan(); RIGHT(newroot) = nameorvar();
switch(symbol)
{
case power:
RIGHT(newroot) = par_pow(RIGHT(newroot));
break;
case transpose:
RIGHT(newroot) = par_trans(RIGHT(newroot));
break;
case apply: case not:
RIGHT(newroot) = par_apply(RIGHT(newroot));
break;
}
}
return newroot;
}
TREE *par_plusminus(root)
TREE *root;
{
TREE *newroot;
while(symbol == plus || symbol == minus)
{
newroot = newtree();
LEFT(newroot) = root;
switch(symbol)
{
case plus:
VDATA(newroot) = opr_add;
break;
case minus:
VDATA(newroot) = opr_subs;
break;
}
ETYPE(newroot) = ETYPE_OPER;
root = newroot;
scan(); RIGHT(newroot) = nameorvar();
switch(symbol)
{
case times: case ptimes: case divide:
RIGHT(newroot) = par_timesdivide(RIGHT(newroot));
break;
case power:
RIGHT(newroot) = par_pow(RIGHT(newroot));
break;
case transpose:
RIGHT(newroot) = par_trans(RIGHT(newroot));
break;
case apply: case not:
RIGHT(newroot) = par_apply(RIGHT(newroot));
break;
}
}
return newroot;
}
TREE *par_compare(root)
TREE *root;
{
TREE *newroot;
while(symbol == eq || symbol == neq || symbol == lt ||
symbol == gt || symbol == le || symbol == ge)
{
newroot = newtree();
LEFT(newroot) = root;
switch(symbol)
{
case eq:
VDATA(newroot) = opr_eq;
break;
case lt:
VDATA(newroot) = opr_lt;
break;
case gt:
VDATA(newroot) = opr_gt;
break;
case neq:
VDATA(newroot) = opr_neq;
break;
case le:
VDATA(newroot) = opr_le;
break;
case ge:
VDATA(newroot) = opr_ge;
break;
}
ETYPE(newroot) = ETYPE_OPER;
root = newroot;
scan(); RIGHT(newroot) = nameorvar();
switch(symbol)
{
case plus: case minus:
RIGHT(newroot) = par_plusminus(RIGHT(newroot));
break;
case times: case ptimes: case divide:
RIGHT(newroot) = par_timesdivide(RIGHT(newroot));
break;
case power:
RIGHT(newroot) = par_pow(RIGHT(newroot));
break;
case transpose:
RIGHT(newroot) = par_trans(RIGHT(newroot));
break;
case apply: case not:
RIGHT(newroot) = par_apply(RIGHT(newroot));
break;
}
}
return newroot;
}
TREE *par_vector(root)
TREE *root;
{
TREE *newroot;
while(symbol == vector)
{
newroot = newtree();
LEFT(newroot) = root;
VDATA(newroot) = opr_vector;
ETYPE(newroot) = ETYPE_OPER;
root = newroot;
scan();
RIGHT(newroot) = nameorvar();
switch(symbol)
{
case eq: case neq: case lt: case gt: case le: case ge:
RIGHT(newroot) = par_compare(RIGHT(newroot));
break;
case plus: case minus:
RIGHT(newroot) = par_plusminus(RIGHT(newroot));
break;
case times: case ptimes: case divide:
RIGHT(newroot) = par_timesdivide(RIGHT(newroot));
break;
case power:
RIGHT(newroot) = par_pow(RIGHT(newroot));
break;
case transpose:
RIGHT(newroot) = par_trans(RIGHT(newroot));
break;
case apply: case not:
RIGHT(newroot) = par_apply(RIGHT(newroot));
break;
}
}
return newroot;
}
TREE *par_logical(root)
TREE *root;
{
TREE *newroot;
while(symbol == and || symbol == or)
{
newroot = newtree();
LEFT(newroot) = root;
switch(symbol)
{
case and:
VDATA(newroot) = opr_and;
break;
case or:
VDATA(newroot) = opr_or;
break;
}
ETYPE(newroot) = ETYPE_OPER;
root = newroot;
scan(); RIGHT(newroot) = nameorvar();
switch(symbol)
{
case vector:
RIGHT(newroot) = par_vector(RIGHT(newroot));
break;
case eq: case neq: case lt: case gt: case le: case ge:
RIGHT(newroot) = par_compare(RIGHT(newroot));
break;
case plus: case minus:
RIGHT(newroot) = par_plusminus(RIGHT(newroot));
break;
case times: case ptimes: case divide:
RIGHT(newroot) = par_timesdivide(RIGHT(newroot));
break;
case power:
RIGHT(newroot) = par_pow(RIGHT(newroot));
break;
case transpose:
RIGHT(newroot) = par_trans(RIGHT(newroot));
break;
case apply: case not:
RIGHT(newroot) = par_apply(RIGHT(newroot));
break;
}
}
return newroot;
}
TREE *par_reduction(root)
TREE *root;
{
TREE *newroot;
while(symbol == reduction)
{
newroot = newtree();
VDATA(newroot) = opr_reduction;
ETYPE(newroot) = ETYPE_OPER;
scan(); RIGHT(newroot) = nameorvar();
LEFT(newroot) = root;
root = newroot;
switch(symbol)
{
case and: case or:
RIGHT(newroot) = par_logical(RIGHT(newroot));
break;
case vector:
RIGHT(newroot) = par_vector(RIGHT(newroot));
break;
case eq: case neq: case lt: case gt: case le: case ge:
RIGHT(newroot) = par_compare(RIGHT(newroot));
break;
case plus: case minus:
RIGHT(newroot) = par_plusminus(RIGHT(newroot));
break;
case times: case ptimes: case divide:
RIGHT(newroot) = par_timesdivide(RIGHT(newroot));
break;
case power:
RIGHT(newroot) = par_pow(RIGHT(newroot));
break;
case transpose:
RIGHT(newroot) = par_trans(RIGHT(newroot));
break;
case apply: case not:
RIGHT(newroot) = par_apply(RIGHT(newroot));
break;
}
}
return newroot;
}
TREE *par_resize(root)
TREE *root;
{
TREE *newroot;
while(symbol == resize)
{
newroot = newtree();
VDATA(newroot) = opr_resize;
ETYPE(newroot) = ETYPE_OPER;
scan(); LEFT(newroot) = nameorvar();
RIGHT(newroot) = root;
root = newroot;
switch(symbol)
{
case reduction:
LEFT(newroot) = par_reduction(LEFT(newroot));
break;
case and: case or:
LEFT(newroot) = par_logical(LEFT(newroot));
break;
case vector:
LEFT(newroot) = par_vector(LEFT(newroot));
break;
case eq: case neq: case lt: case gt: case le: case ge:
LEFT(newroot) = par_compare(LEFT(newroot));
break;
case plus: case minus:
LEFT(newroot) = par_plusminus(LEFT(newroot));
break;
case times: case ptimes: case divide:
LEFT(newroot) = par_timesdivide(LEFT(newroot));
break;
case power:
LEFT(newroot) = par_pow(LEFT(newroot)); break;
case transpose:
LEFT(newroot) = par_trans(LEFT(newroot));
break;
case apply: case not:
LEFT(newroot) = par_apply(LEFT(newroot));
break;
}
}
return newroot;
}
TREE *equation()
{
TREE *treeptr;
switch(symbol)
{
case apply: case not:
break;
default:
treeptr = nameorvar();
break;
}
while(TRUE)
{
switch(symbol)
{
case resize:
treeptr = par_resize(treeptr);
break;
case reduction:
treeptr = par_reduction(treeptr);
break;
case and: case or:
treeptr = par_logical(treeptr);
break;
case vector:
treeptr = par_vector(treeptr);
break;
case eq: case neq: case lt: case gt: case le: case ge:
treeptr = par_compare(treeptr);
break;
case plus: case minus:
treeptr = par_plusminus(treeptr);
break;
case times: case ptimes: case divide:
treeptr = par_timesdivide(treeptr);
break;
case power:
treeptr = par_pow(treeptr);
break;
case transpose:
treeptr = par_trans(treeptr);
break;
case apply: case not:
treeptr = par_apply(treeptr);
break;
default:
return treeptr;
}
}
}
CLAUSE *commentparse()
{
char *p = str;
CLAUSE *root = NULL;
while( *str!='\n' && *str!='\0' ) str++;
scan();
return root;
}
CLAUSE *scallparse()
{
char *p = str;
CLAUSE *root = NULL;
while( *str!='\n' && *str != ';' && *str!='\0' ) str++;
if ( *str ) *str++ = '\0';
if ( *p )
{
root = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
root->data = systemcall;
root->this = newtree();
SDATA(root->this) = STRCOPY( p );
ETYPE(root->this) = ETYPE_STRING;
}
scan();
return root;
}
CLAUSE *statement()
{
char *csymbcopy, *p;
CLAUSE *root = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
if (symbol == name)
{
p = str;
csymbcopy = STRCOPY(csymbol);
do
{
scan();
} while( symbol != assignsym && symbol != nullsym && symbol != statemend );
strcpy(csymbol, csymbcopy);
FREEMEM(csymbcopy);
str = p;
if (symbol == assignsym)
{
symbol = name; root -> this = nameorvar(); scan();
}
else
symbol = name;
}
LINK(root) = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
LINK(root) -> this = equation();
root->data = assignsym;
return root;
}
CLAUSE *blockparse()
{
CLAUSE *root, *ptr;
root = (CLAUSE *)NULL;
if (symbol != beginsym)
error("if|while|function: missing block open symbol.\n");
scan();
if (symbol == nullsym)
{
dogets(str, PMODE_BLOCK);
scan();
}
if (symbol != endsym)
{
root = ptr = parse();
while(LINK(ptr) != NULL)
{
ptr = LINK(ptr);
}
}
while(symbol != endsym && symbol != elsesym)
{
if (symbol == nullsym)
{
dogets(str, PMODE_BLOCK); scan();
}
if (symbol != endsym && symbol != elsesym)
{
LINK(ptr) = parse();
while(LINK(ptr) != NULL)
{
ptr = LINK(ptr);
}
}
}
bendsym = symbol;
scan();
return root;
}
CLAUSE *funcparse()
{
CLAUSE *root, *ptr;
SYMTYPE sym;
TREE *lptr, *rptr,*help;
int ch,n;
char *p = str;
root = ptr = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
ptr->data = funcsym;
scan();
ptr->this = nameorvar();
help = SUBS(root->this) = newtree();
SDATA( help ) = STRCOPY( p );
p = str;
while ( symbol == nullsym || symbol == comment )
{
dogets( str, PMODE_CONT );
scan();
if ( symbol == comment )
{
NEXT(help) = newtree();
help = NEXT(help);
while( *str != '\n' && *str != '\0' ) str++;
ch = *str;
if ( *str ) *++str = '\0';
*str = ch;
SDATA(help) = STRCOPY( p );
p = str;
}
}
while(symbol == import || symbol == export)
{
if (symbol == import)
lptr = LEFT(root->this);
else
lptr = RIGHT(root->this);
sym = symbol;
scan();
rptr = args(1,1000);
if (lptr == NULL)
{
if (sym == import)
LEFT(root->this) = rptr;
else
RIGHT(root->this) = rptr;
}
else
{
while(NEXT(lptr)) lptr=NEXT(lptr);
NEXT(lptr) = rptr;
}
if (symbol == nullsym)
{
dogets(str, PMODE_CONT);
scan();
}
}
if (symbol == beginsym)
{
LINK(ptr) = blockparse();
if (bendsym != endsym)
error("function: missing end.\n");
}
else
LINK(ptr) = parse();
return root;
}
CLAUSE *ifparse()
{
CLAUSE *root, *ptr, *parse();
int block = FALSE;
scan();
if (symbol != leftpar)
{
error("Missing leftpar.\n");
}
root = ptr = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
ptr->data = ifsym;
scan();
ptr -> this = equation();
if (symbol != rightpar)
{
error("Missing rightpar.\n");
}
scan();
if (symbol == thensym) scan();
if (symbol == nullsym)
{
dogets(str, PMODE_CONT);
scan();
}
if (symbol == beginsym)
{
block = TRUE;
LINK(ptr) = blockparse();
}
else
LINK(ptr) = parse();
while(LINK(ptr) != NULL)
{
ptr = LINK(ptr);
}
root->jmp = LINK(ptr) = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
ptr = LINK(ptr); ptr->data = endsym;
if (symbol == elsesym || bendsym == elsesym)
{
root -> jmp = LINK(ptr) = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
ptr = LINK(ptr); ptr->data = elsesym;
if (symbol == elsesym) scan();
if (symbol == nullsym)
{
dogets(str, PMODE_CONT);
scan();
}
if (symbol == beginsym)
{
LINK(ptr) = blockparse();
if (block && bendsym != endsym)
error("else: missing end.\n");
}
else
LINK(ptr) = parse();
while(LINK(ptr) != NULL)
{
ptr = LINK(ptr);
}
root->jmp->jmp = LINK(ptr) = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
LINK(ptr)->data = endsym;
}
return root;
}
CLAUSE *whileparse()
{
CLAUSE *root, *ptr;
scan();
if (symbol != leftpar)
{
error("Missing leftpar.\n");
}
root = ptr = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
ptr->data = whilesym;
scan();
ptr->this = equation();
if (symbol != rightpar)
{
error("Missing rightpar.\n");
}
scan();
if (symbol == nullsym)
{
dogets(str, PMODE_CONT);
scan();
}
if (symbol == beginsym)
{
LINK(ptr) = blockparse();
if (bendsym != endsym)
error("while: missing end.\n");
}
else
LINK(ptr) = parse();
while(LINK(ptr) != NULL)
{
ptr = LINK(ptr);
}
root -> jmp = LINK(ptr) = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
LINK(ptr)->data = endsym;
return root;
}
CLAUSE *forparse()
{
CLAUSE *root, *ptr;
scan();
if (symbol != leftpar)
{
error("for: missing leftpar.\n");
}
root = ptr = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
ptr->data = forsym;
scan();
ptr -> this = nameorvar();
if (symbol != assignsym)
{
error("for: missing equalsign\n");
}
scan();
LINK(ptr->this) = equation();
if (symbol != rightpar)
{
error("Missing rightpar.\n");
}
scan();
if (symbol == nullsym)
{
dogets(str, PMODE_CONT);
scan();
}
if (symbol == beginsym)
{
LINK(ptr) = blockparse();
if (bendsym != endsym)
error("for: missing end.\n");
}
else
LINK(ptr) = parse();
while(LINK(ptr) != NULL)
{
ptr = LINK(ptr);
}
root -> jmp = LINK(ptr) = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
LINK(ptr)->data = endsym;
return root;
}
CLAUSE *parse()
{
CLAUSE *ptr = (CLAUSE *)NULL;
switch(symbol)
{
case funcsym:
ptr = funcparse();
break;
case beginsym:
ptr = blockparse();
if (bendsym != endsym)
error("begin: missing end.\n");
break;
case ifsym:
ptr = ifparse();
break;
case whilesym:
ptr = whileparse();
break;
case forsym:
ptr = forparse();
break;
case systemcall:
ptr = scallparse();
break;
case comment:
ptr = commentparse();
break;
default:
ptr = statement();
break;
}
while( symbol == statemend ) scan();
if (ptr == (CLAUSE *)NULL)
ptr = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
return ptr;
}
void free_treeentry(root)
TREEENTRY *root;
{
if (root == NULL) return;
free_tree(root->args);
free_tree(root->subs);
if ( root->entrytype == ETYPE_STRING || root->entrytype == ETYPE_NAME )
FREEMEM(root->entrydata.s_data);
else if ( root->entrytype == ETYPE_CONST )
var_delete_temp(root->entrydata.c_data);
}
void free_tree(root)
TREE *root;
{
if (root == NULL) return;
free_tree(NEXT(root));
free_tree(LINK(root));
free_tree(LEFT(root));
free_tree(RIGHT(root));
free_treeentry(&root->tentry);
FREEMEM((char *)root);
}
void free_clause(root)
CLAUSE *root;
{
if (root == NULL) return;
free_clause(LINK(root));
free_tree(root->this);
FREEMEM((char *)root);
}
VARIABLE *doit(line)
char *line;
{
CLAUSE *ptr, *root;
VARIABLE *res;
str = buf;
strcpy( str, line );
root = ptr = (CLAUSE *)ALLOCMEM(sizeof(CLAUSE));
scan();
while(symbol != nullsym)
{
LINK(ptr) = parse();
while(LINK(ptr) != NULL)
{
ptr = LINK(ptr);
}
}
/* root = optimclause(root); */
/* printclause(root, math_out, 0); */
res = evalclause(root);
free_clause(root);
return res;
}
|
attribute.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% AAA TTTTT TTTTT RRRR IIIII BBBB U U TTTTT EEEEE %
% A A T T R R I B B U U T E %
% AAAAA T T RRRR I BBBB U U T EEE %
% A A T T R R I B B U U T E %
% A A T T R R IIIII BBBB UUU T EEEEE %
% %
% %
% MagickCore Get / Set Image Attributes %
% %
% Software Design %
% Cristy %
% October 2002 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/artifact.h"
#include "MagickCore/attribute.h"
#include "MagickCore/blob.h"
#include "MagickCore/blob-private.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-private.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/client.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colormap.h"
#include "MagickCore/colormap-private.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/constitute.h"
#include "MagickCore/draw.h"
#include "MagickCore/draw-private.h"
#include "MagickCore/effect.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/histogram.h"
#include "MagickCore/identify.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/log.h"
#include "MagickCore/memory_.h"
#include "MagickCore/magick.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/paint.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/property.h"
#include "MagickCore/quantize.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/random_.h"
#include "MagickCore/resource_.h"
#include "MagickCore/semaphore.h"
#include "MagickCore/segment.h"
#include "MagickCore/splay-tree.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/threshold.h"
#include "MagickCore/transform.h"
#include "MagickCore/utility.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e B o u n d i n g B o x %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageBoundingBox() returns the bounding box of an image canvas.
%
% The format of the GetImageBoundingBox method is:
%
% RectangleInfo GetImageBoundingBox(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o bounds: Method GetImageBoundingBox returns the bounding box of an
% image canvas.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
typedef struct _EdgeInfo
{
double
left,
right,
top,
bottom;
} EdgeInfo;
static double GetEdgeBackgroundCensus(const Image *image,
const CacheView *image_view,const GravityType gravity,const size_t width,
const size_t height,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
CacheView
*edge_view;
const char
*artifact;
double
census;
Image
*edge_image;
PixelInfo
background,
pixel;
RectangleInfo
edge_geometry;
const Quantum
*p;
ssize_t
y;
/*
Determine the percent of image background for this edge.
*/
switch (gravity)
{
case NorthWestGravity:
case NorthGravity:
default:
{
p=GetCacheViewVirtualPixels(image_view,0,0,1,1,exception);
break;
}
case NorthEastGravity:
case EastGravity:
{
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,0,1,1,
exception);
break;
}
case SouthEastGravity:
case SouthGravity:
{
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,
(ssize_t) image->rows-1,1,1,exception);
break;
}
case SouthWestGravity:
case WestGravity:
{
p=GetCacheViewVirtualPixels(image_view,0,(ssize_t) image->rows-1,1,1,
exception);
break;
}
}
GetPixelInfoPixel(image,p,&background);
artifact=GetImageArtifact(image,"background");
if (artifact != (const char *) NULL)
(void) QueryColorCompliance(artifact,AllCompliance,&background,exception);
artifact=GetImageArtifact(image,"trim:background-color");
if (artifact != (const char *) NULL)
(void) QueryColorCompliance(artifact,AllCompliance,&background,exception);
edge_geometry.width=width;
edge_geometry.height=height;
edge_geometry.x=x_offset;
edge_geometry.y=y_offset;
GravityAdjustGeometry(image->columns,image->rows,gravity,&edge_geometry);
edge_image=CropImage(image,&edge_geometry,exception);
if (edge_image == (Image *) NULL)
return(0.0);
census=0.0;
edge_view=AcquireVirtualCacheView(edge_image,exception);
for (y=0; y < (ssize_t) edge_image->rows; y++)
{
ssize_t
x;
p=GetCacheViewVirtualPixels(edge_view,0,y,edge_image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) edge_image->columns; x++)
{
GetPixelInfoPixel(edge_image,p,&pixel);
if (IsFuzzyEquivalencePixelInfo(&pixel,&background) == MagickFalse)
census++;
p+=GetPixelChannels(edge_image);
}
}
census/=((double) edge_image->columns*edge_image->rows);
edge_view=DestroyCacheView(edge_view);
edge_image=DestroyImage(edge_image);
return(census);
}
static inline double GetMinEdgeBackgroundCensus(const EdgeInfo *edge)
{
double
census;
census=MagickMin(MagickMin(MagickMin(edge->left,edge->right),edge->top),
edge->bottom);
return(census);
}
static RectangleInfo GetEdgeBoundingBox(const Image *image,
ExceptionInfo *exception)
{
CacheView
*edge_view;
const char
*artifact;
double
background_census,
percent_background;
EdgeInfo
edge,
vertex;
Image
*edge_image;
RectangleInfo
bounds;
/*
Get the image bounding box.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
SetGeometry(image,&bounds);
edge_image=CloneImage(image,0,0,MagickTrue,exception);
if (edge_image == (Image *) NULL)
return(bounds);
(void) ParseAbsoluteGeometry("0x0+0+0",&edge_image->page);
(void) memset(&vertex,0,sizeof(vertex));
edge_view=AcquireVirtualCacheView(edge_image,exception);
edge.left=GetEdgeBackgroundCensus(edge_image,edge_view,WestGravity,
1,0,0,0,exception);
edge.right=GetEdgeBackgroundCensus(edge_image,edge_view,EastGravity,
1,0,0,0,exception);
edge.top=GetEdgeBackgroundCensus(edge_image,edge_view,NorthGravity,
0,1,0,0,exception);
edge.bottom=GetEdgeBackgroundCensus(edge_image,edge_view,SouthGravity,
0,1,0,0,exception);
percent_background=1.0;
artifact=GetImageArtifact(edge_image,"trim:percent-background");
if (artifact != (const char *) NULL)
percent_background=StringToDouble(artifact,(char **) NULL)/100.0;
percent_background=MagickMin(MagickMax(1.0-percent_background,MagickEpsilon),
1.0);
background_census=GetMinEdgeBackgroundCensus(&edge);
for ( ; background_census < percent_background;
background_census=GetMinEdgeBackgroundCensus(&edge))
{
if ((bounds.width == 0) || (bounds.height == 0))
break;
if (fabs(edge.left-background_census) < MagickEpsilon)
{
/*
Trim left edge.
*/
vertex.left++;
bounds.width--;
edge.left=GetEdgeBackgroundCensus(edge_image,edge_view,
NorthWestGravity,1,bounds.height,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.top=GetEdgeBackgroundCensus(edge_image,edge_view,
NorthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.bottom=GetEdgeBackgroundCensus(edge_image,edge_view,
SouthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.bottom,exception);
continue;
}
if (fabs(edge.right-background_census) < MagickEpsilon)
{
/*
Trim right edge.
*/
vertex.right++;
bounds.width--;
edge.right=GetEdgeBackgroundCensus(edge_image,edge_view,
NorthEastGravity,1,bounds.height,(ssize_t) vertex.right,(ssize_t)
vertex.top,exception);
edge.top=GetEdgeBackgroundCensus(edge_image,edge_view,
NorthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.bottom=GetEdgeBackgroundCensus(edge_image,edge_view,
SouthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.bottom,exception);
continue;
}
if (fabs(edge.top-background_census) < MagickEpsilon)
{
/*
Trim top edge.
*/
vertex.top++;
bounds.height--;
edge.left=GetEdgeBackgroundCensus(edge_image,edge_view,
NorthWestGravity,1,bounds.height,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.right=GetEdgeBackgroundCensus(edge_image,edge_view,
NorthEastGravity,1,bounds.height,(ssize_t) vertex.right,(ssize_t)
vertex.top,exception);
edge.top=GetEdgeBackgroundCensus(edge_image,edge_view,
NorthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
continue;
}
if (fabs(edge.bottom-background_census) < MagickEpsilon)
{
/*
Trim bottom edge.
*/
vertex.bottom++;
bounds.height--;
edge.left=GetEdgeBackgroundCensus(edge_image,edge_view,
NorthWestGravity,1,bounds.height,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.right=GetEdgeBackgroundCensus(edge_image,edge_view,
NorthEastGravity,1,bounds.height,(ssize_t) vertex.right,(ssize_t)
vertex.top,exception);
edge.bottom=GetEdgeBackgroundCensus(edge_image,edge_view,
SouthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.bottom,exception);
continue;
}
}
edge_view=DestroyCacheView(edge_view);
edge_image=DestroyImage(edge_image);
bounds.x=(ssize_t) vertex.left;
bounds.y=(ssize_t) vertex.top;
if ((bounds.width == 0) || (bounds.height == 0))
(void) ThrowMagickException(exception,GetMagickModule(),OptionWarning,
"GeometryDoesNotContainImage","`%s'",image->filename);
return(bounds);
}
MagickExport RectangleInfo GetImageBoundingBox(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
const char
*artifact;
MagickBooleanType
status;
PixelInfo
target[4],
zero;
RectangleInfo
bounds;
const Quantum
*p;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
artifact=GetImageArtifact(image,"trim:percent-background");
if (artifact != (const char *) NULL)
return(GetEdgeBoundingBox(image,exception));
artifact=GetImageArtifact(image, "trim:edges");
if (artifact == (const char *) NULL)
{
bounds.width=image->columns == 1 ? 1 : 0;
bounds.height=image->rows == 1 ? 1 : 0;
bounds.x=(ssize_t) image->columns;
bounds.y=(ssize_t) image->rows;
}
else
{
char
*edges,
*q,
*r;
bounds.width=(size_t) image->columns;
bounds.height=(size_t) image->rows;
bounds.x=0;
bounds.y=0;
edges=AcquireString(artifact);
r=edges;
while ((q=StringToken(",",&r)) != (char *) NULL)
{
if (LocaleCompare(q,"north") == 0)
bounds.y=(ssize_t) image->rows;
if (LocaleCompare(q,"east") == 0)
bounds.width=0;
if (LocaleCompare(q,"south") == 0)
bounds.height=0;
if (LocaleCompare(q,"west") == 0)
bounds.x=(ssize_t) image->columns;
}
edges=DestroyString(edges);
}
GetPixelInfo(image,&target[0]);
image_view=AcquireVirtualCacheView(image,exception);
p=GetCacheViewVirtualPixels(image_view,0,0,1,1,exception);
if (p == (const Quantum *) NULL)
{
image_view=DestroyCacheView(image_view);
return(bounds);
}
GetPixelInfoPixel(image,p,&target[0]);
GetPixelInfo(image,&target[1]);
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,0,1,1,
exception);
if (p != (const Quantum *) NULL)
GetPixelInfoPixel(image,p,&target[1]);
GetPixelInfo(image,&target[2]);
p=GetCacheViewVirtualPixels(image_view,0,(ssize_t) image->rows-1,1,1,
exception);
if (p != (const Quantum *) NULL)
GetPixelInfoPixel(image,p,&target[2]);
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,(ssize_t)
image->rows-1,1,1,exception);
if (p != (const Quantum *) NULL)
GetPixelInfoPixel(image,p,&target[3]);
status=MagickTrue;
GetPixelInfo(image,&zero);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
PixelInfo
pixel;
RectangleInfo
bounding_box;
const Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
# pragma omp critical (MagickCore_GetImageBoundingBox)
#endif
bounding_box=bounds;
q=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (q == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
GetPixelInfoPixel(image,q,&pixel);
if ((x < bounding_box.x) &&
(IsFuzzyEquivalencePixelInfo(&pixel,&target[0]) == MagickFalse))
bounding_box.x=x;
if ((x > (ssize_t) bounding_box.width) &&
(IsFuzzyEquivalencePixelInfo(&pixel,&target[1]) == MagickFalse))
bounding_box.width=(size_t) x;
if ((y < bounding_box.y) &&
(IsFuzzyEquivalencePixelInfo(&pixel,&target[0]) == MagickFalse))
bounding_box.y=y;
if ((y > (ssize_t) bounding_box.height) &&
(IsFuzzyEquivalencePixelInfo(&pixel,&target[2]) == MagickFalse))
bounding_box.height=(size_t) y;
if ((x < (ssize_t) bounding_box.width) &&
(y > (ssize_t) bounding_box.height) &&
(IsFuzzyEquivalencePixelInfo(&pixel,&target[3]) == MagickFalse))
{
bounding_box.width=(size_t) x;
bounding_box.height=(size_t) y;
}
q+=GetPixelChannels(image);
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
# pragma omp critical (MagickCore_GetImageBoundingBox)
#endif
{
if (bounding_box.x < bounds.x)
bounds.x=bounding_box.x;
if (bounding_box.y < bounds.y)
bounds.y=bounding_box.y;
if (bounding_box.width > bounds.width)
bounds.width=bounding_box.width;
if (bounding_box.height > bounds.height)
bounds.height=bounding_box.height;
}
}
image_view=DestroyCacheView(image_view);
if ((bounds.width == 0) || (bounds.height == 0))
(void) ThrowMagickException(exception,GetMagickModule(),OptionWarning,
"GeometryDoesNotContainImage","`%s'",image->filename);
else
{
bounds.width-=(bounds.x-1);
bounds.height-=(bounds.y-1);
}
return(bounds);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C o n v e x H u l l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageConvexHull() returns the convex hull points of an image canvas.
%
% The format of the GetImageConvexHull method is:
%
% PointInfo *GetImageConvexHull(const Image *image,
% size_t number_vertices,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o number_vertices: the number of vertices in the convex hull.
%
% o exception: return any errors or warnings in this structure.
%
*/
static double LexicographicalOrder(PointInfo *a,PointInfo *b,PointInfo *c)
{
/*
Order by x-coordinate, and in case of a tie, by y-coordinate.
*/
return((b->x-a->x)*(c->y-a->y)-(b->y-a->y)*(c->x-a->x));
}
static PixelInfo GetEdgeBackgroundColor(const Image *image,
const CacheView *image_view,ExceptionInfo *exception)
{
const char
*artifact;
double
census[4],
edge_census;
PixelInfo
background[4],
edge_background;
ssize_t
i;
/*
Most dominant color of edges/corners is the background color of the image.
*/
memset(&edge_background,0,sizeof(edge_background));
artifact=GetImageArtifact(image,"convex-hull:background-color");
if (artifact == (const char *) NULL)
artifact=GetImageArtifact(image,"background");
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i < 4; i++)
{
CacheView
*edge_view;
GravityType
gravity;
Image
*edge_image;
PixelInfo
pixel;
RectangleInfo
edge_geometry;
const Quantum
*p;
ssize_t
y;
census[i]=0.0;
(void) memset(&edge_geometry,0,sizeof(edge_geometry));
switch (i)
{
case 0:
default:
{
p=GetCacheViewVirtualPixels(image_view,0,(ssize_t) image->rows-1,1,1,
exception);
gravity=WestGravity;
edge_geometry.width=1;
edge_geometry.height=0;
break;
}
case 1:
{
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,0,1,1,
exception);
gravity=EastGravity;
edge_geometry.width=1;
edge_geometry.height=0;
break;
}
case 2:
{
p=GetCacheViewVirtualPixels(image_view,0,0,1,1,exception);
gravity=NorthGravity;
edge_geometry.width=0;
edge_geometry.height=1;
break;
}
case 3:
{
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,
(ssize_t) image->rows-1,1,1,exception);
gravity=SouthGravity;
edge_geometry.width=0;
edge_geometry.height=1;
break;
}
}
GetPixelInfoPixel(image,p,background+i);
if (artifact != (const char *) NULL)
(void) QueryColorCompliance(artifact,AllCompliance,background+i,
exception);
GravityAdjustGeometry(image->columns,image->rows,gravity,&edge_geometry);
edge_image=CropImage(image,&edge_geometry,exception);
if (edge_image == (Image *) NULL)
continue;
edge_view=AcquireVirtualCacheView(edge_image,exception);
for (y=0; y < (ssize_t) edge_image->rows; y++)
{
ssize_t
x;
p=GetCacheViewVirtualPixels(edge_view,0,y,edge_image->columns,1,
exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) edge_image->columns; x++)
{
GetPixelInfoPixel(edge_image,p,&pixel);
if (IsFuzzyEquivalencePixelInfo(&pixel,background+i) == MagickFalse)
census[i]++;
p+=GetPixelChannels(edge_image);
}
}
edge_view=DestroyCacheView(edge_view);
edge_image=DestroyImage(edge_image);
}
edge_census=(-1.0);
for (i=0; i < 4; i++)
if (census[i] > edge_census)
{
edge_background=background[i];
edge_census=census[i];
}
return(edge_background);
}
void TraceConvexHull(PointInfo *vertices,size_t number_vertices,
PointInfo ***monotone_chain,size_t *chain_length)
{
PointInfo
**chain;
ssize_t
i;
size_t
demark,
n;
/*
Construct the upper and lower hulls: rightmost to leftmost counterclockwise.
*/
chain=(*monotone_chain);
n=0;
for (i=0; i < (ssize_t) number_vertices; i++)
{
while ((n >= 2) &&
(LexicographicalOrder(chain[n-2],chain[n-1],&vertices[i]) <= 0.0))
n--;
chain[n++]=(&vertices[i]);
}
demark=n+1;
for (i=(ssize_t) number_vertices-2; i >= 0; i--)
{
while ((n >= demark) &&
(LexicographicalOrder(chain[n-2],chain[n-1],&vertices[i]) <= 0.0))
n--;
chain[n++]=(&vertices[i]);
}
*chain_length=n;
}
MagickExport PointInfo *GetImageConvexHull(const Image *image,
size_t *number_vertices,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
MemoryInfo
*monotone_info,
*vertices_info;
PixelInfo
background;
PointInfo
*convex_hull,
**monotone_chain,
*vertices;
size_t
n;
ssize_t
y;
/*
Identify convex hull vertices of image foreground object(s).
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
*number_vertices=0;
vertices_info=AcquireVirtualMemory(image->columns,image->rows*
sizeof(*vertices));
monotone_info=AcquireVirtualMemory(2*image->columns,2*
image->rows*sizeof(*monotone_chain));
if ((vertices_info == (MemoryInfo *) NULL) ||
(monotone_info == (MemoryInfo *) NULL))
{
if (monotone_info != (MemoryInfo *) NULL)
monotone_info=(MemoryInfo *) RelinquishVirtualMemory(monotone_info);
if (vertices_info != (MemoryInfo *) NULL)
vertices_info=RelinquishVirtualMemory(vertices_info);
return((PointInfo *) NULL);
}
vertices=(PointInfo *) GetVirtualMemoryBlob(vertices_info);
monotone_chain=(PointInfo **) GetVirtualMemoryBlob(monotone_info);
image_view=AcquireVirtualCacheView(image,exception);
background=GetEdgeBackgroundColor(image,image_view,exception);
status=MagickTrue;
n=0;
for (y=0; y < (ssize_t) image->rows; y++)
{
const Quantum
*p;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
PixelInfo
pixel;
GetPixelInfoPixel(image,p,&pixel);
if (IsFuzzyEquivalencePixelInfo(&pixel,&background) == MagickFalse)
{
vertices[n].x=(double) x;
vertices[n].y=(double) y;
n++;
}
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
/*
Return the convex hull of the image foreground object(s).
*/
TraceConvexHull(vertices,n,&monotone_chain,number_vertices);
convex_hull=(PointInfo *) AcquireQuantumMemory(*number_vertices,
sizeof(*convex_hull));
if (convex_hull != (PointInfo *) NULL)
for (n=0; n < *number_vertices; n++)
convex_hull[n]=(*monotone_chain[n]);
monotone_info=RelinquishVirtualMemory(monotone_info);
vertices_info=RelinquishVirtualMemory(vertices_info);
return(convex_hull);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageDepth() returns the depth of a particular image channel.
%
% The format of the GetImageDepth method is:
%
% size_t GetImageDepth(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport size_t GetImageDepth(const Image *image,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
ssize_t
i;
size_t
*current_depth,
depth,
number_threads;
ssize_t
y;
/*
Compute image depth.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
current_depth=(size_t *) AcquireQuantumMemory(number_threads,
sizeof(*current_depth));
if (current_depth == (size_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
status=MagickTrue;
for (i=0; i < (ssize_t) number_threads; i++)
current_depth[i]=1;
if ((image->storage_class == PseudoClass) &&
(image->alpha_trait == UndefinedPixelTrait))
{
for (i=0; i < (ssize_t) image->colors; i++)
{
const int
id = GetOpenMPThreadId();
while (current_depth[id] < MAGICKCORE_QUANTUM_DEPTH)
{
MagickBooleanType
atDepth;
QuantumAny
range;
atDepth=MagickTrue;
range=GetQuantumRange(current_depth[id]);
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
if (IsPixelAtDepth(ClampToQuantum(image->colormap[i].red),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) &&
(GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
if (IsPixelAtDepth(ClampToQuantum(image->colormap[i].green),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) &&
(GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
if (IsPixelAtDepth(ClampToQuantum(image->colormap[i].blue),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse))
break;
current_depth[id]++;
}
}
depth=current_depth[0];
for (i=1; i < (ssize_t) number_threads; i++)
if (depth < current_depth[i])
depth=current_depth[i];
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
image_view=AcquireVirtualCacheView(image,exception);
#if !defined(MAGICKCORE_HDRI_SUPPORT)
if ((1UL*QuantumRange) <= MaxMap)
{
size_t
*depth_map;
/*
Scale pixels to desired (optimized with depth map).
*/
depth_map=(size_t *) AcquireQuantumMemory(MaxMap+1,sizeof(*depth_map));
if (depth_map == (size_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
for (i=0; i <= (ssize_t) MaxMap; i++)
{
unsigned int
depth;
for (depth=1; depth < MAGICKCORE_QUANTUM_DEPTH; depth++)
{
Quantum
pixel;
QuantumAny
range;
range=GetQuantumRange(depth);
pixel=(Quantum) i;
if (pixel == ScaleAnyToQuantum(ScaleQuantumToAny(pixel,range),range))
break;
}
depth_map[i]=depth;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
const Quantum
*magick_restrict p;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
continue;
for (x=0; x < (ssize_t) image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
if (depth_map[ScaleQuantumToMap(p[i])] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(p[i])];
}
p+=GetPixelChannels(image);
}
if (current_depth[id] == MAGICKCORE_QUANTUM_DEPTH)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
depth=current_depth[0];
for (i=1; i < (ssize_t) number_threads; i++)
if (depth < current_depth[i])
depth=current_depth[i];
depth_map=(size_t *) RelinquishMagickMemory(depth_map);
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
#endif
/*
Compute pixel depth.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
const Quantum
*magick_restrict p;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
continue;
for (x=0; x < (ssize_t) image->columns; x++)
{
ssize_t
j;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel
channel;
PixelTrait
traits;
channel=GetPixelChannelChannel(image,j);
traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
while (current_depth[id] < MAGICKCORE_QUANTUM_DEPTH)
{
QuantumAny
range;
range=GetQuantumRange(current_depth[id]);
if (p[j] == ScaleAnyToQuantum(ScaleQuantumToAny(p[j],range),range))
break;
current_depth[id]++;
}
}
p+=GetPixelChannels(image);
}
if (current_depth[id] == MAGICKCORE_QUANTUM_DEPTH)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
depth=current_depth[0];
for (i=1; i < (ssize_t) number_threads; i++)
if (depth < current_depth[i])
depth=current_depth[i];
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e M i n i m u m B o u n d i n g B o x %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageMinimumBoundingBox() returns the points that form the minimum
% bounding box around the image foreground objects with the "Rotating
% Calipers" algorithm. The method also returns these properties:
% minimum-bounding-box:area, minimum-bounding-box:width,
% minimum-bounding-box:height, and minimum-bounding-box:angle.
%
% The format of the GetImageMinimumBoundingBox method is:
%
% PointInfo *GetImageMinimumBoundingBox(Image *image,
% size_t number_vertices,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o number_vertices: the number of vertices in the bounding box.
%
% o exception: return any errors or warnings in this structure.
%
*/
typedef struct _CaliperInfo
{
double
area,
width,
height,
projection;
ssize_t
p,
q,
v;
} CaliperInfo;
static inline double getAngle(PointInfo *p,PointInfo *q)
{
/*
Get the angle between line (p,q) and horizontal axis, in degrees.
*/
return(RadiansToDegrees(atan2(q->y-p->y,q->x-p->x)));
}
static inline double getDistance(PointInfo *p,PointInfo *q)
{
double
distance;
distance=hypot(p->x-q->x,p->y-q->y);
return(distance*distance);
}
static inline double getProjection(PointInfo *p,PointInfo *q,PointInfo *v)
{
double
distance;
/*
Projection of vector (x,y) - p into a line passing through p and q.
*/
distance=getDistance(p,q);
if (distance < MagickEpsilon)
return(INFINITY);
return((q->x-p->x)*(v->x-p->x)+(v->y-p->y)*(q->y-p->y))/sqrt(distance);
}
static inline double getFeretDiameter(PointInfo *p,PointInfo *q,PointInfo *v)
{
double
distance;
/*
Distance from a point (x,y) to a line passing through p and q.
*/
distance=getDistance(p,q);
if (distance < MagickEpsilon)
return(INFINITY);
return((q->x-p->x)*(v->y-p->y)-(v->x-p->x)*(q->y-p->y))/sqrt(distance);
}
MagickExport PointInfo *GetImageMinimumBoundingBox(Image *image,
size_t *number_vertices,ExceptionInfo *exception)
{
CaliperInfo
caliper_info;
const char
*artifact;
double
angle,
diameter,
distance;
PointInfo
*bounding_box,
*vertices;
ssize_t
i;
size_t
number_hull_vertices;
/*
Generate the minimum bounding box with the "Rotating Calipers" algorithm.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
*number_vertices=0;
vertices=GetImageConvexHull(image,&number_hull_vertices,exception);
if (vertices == (PointInfo *) NULL)
return((PointInfo *) NULL);
*number_vertices=4;
bounding_box=(PointInfo *) AcquireQuantumMemory(*number_vertices,
sizeof(*bounding_box));
if (bounding_box == (PointInfo *) NULL)
{
vertices=(PointInfo *) RelinquishMagickMemory(vertices);
return((PointInfo *) NULL);
}
caliper_info.area=2.0*image->columns*image->rows;
caliper_info.width=(double) image->columns+image->rows;
caliper_info.height=0.0;
caliper_info.projection=0.0;
caliper_info.p=(-1);
caliper_info.q=(-1);
caliper_info.v=(-1);
for (i=0; i < (ssize_t) number_hull_vertices; i++)
{
double
area = 0.0,
max_projection = 0.0,
min_diameter = -1.0,
min_projection = 0.0;
ssize_t
j,
k;
ssize_t
p = -1,
q = -1,
v = -1;
for (j=0; j < (ssize_t) number_hull_vertices; j++)
{
diameter=fabs(getFeretDiameter(&vertices[i],
&vertices[(i+1) % number_hull_vertices],&vertices[j]));
if (min_diameter < diameter)
{
min_diameter=diameter;
p=i;
q=(i+1) % number_hull_vertices;
v=j;
}
}
for (k=0; k < (ssize_t) number_hull_vertices; k++)
{
double
projection;
/*
Rotating calipers.
*/
projection=getProjection(&vertices[p],&vertices[q],&vertices[k]);
min_projection=MagickMin(min_projection,projection);
max_projection=MagickMax(max_projection,projection);
}
area=min_diameter*(max_projection-min_projection);
if (caliper_info.area > area)
{
caliper_info.area=area;
caliper_info.width=min_diameter;
caliper_info.height=max_projection-min_projection;
caliper_info.projection=max_projection;
caliper_info.p=p;
caliper_info.q=q;
caliper_info.v=v;
}
}
/*
Initialize minimum bounding box.
*/
diameter=getFeretDiameter(&vertices[caliper_info.p],
&vertices[caliper_info.q],&vertices[caliper_info.v]);
angle=atan2(vertices[caliper_info.q].y-vertices[caliper_info.p].y,
vertices[caliper_info.q].x-vertices[caliper_info.p].x);
bounding_box[0].x=vertices[caliper_info.p].x+cos(angle)*
caliper_info.projection;
bounding_box[0].y=vertices[caliper_info.p].y+sin(angle)*
caliper_info.projection;
bounding_box[1].x=floor(bounding_box[0].x+cos(angle+MagickPI/2.0)*diameter+
0.5);
bounding_box[1].y=floor(bounding_box[0].y+sin(angle+MagickPI/2.0)*diameter+
0.5);
bounding_box[2].x=floor(bounding_box[1].x+cos(angle)*(-caliper_info.height)+
0.5);
bounding_box[2].y=floor(bounding_box[1].y+sin(angle)*(-caliper_info.height)+
0.5);
bounding_box[3].x=floor(bounding_box[2].x+cos(angle+MagickPI/2.0)*(-diameter)+
0.5);
bounding_box[3].y=floor(bounding_box[2].y+sin(angle+MagickPI/2.0)*(-diameter)+
0.5);
/*
Export minimum bounding box properties.
*/
(void) FormatImageProperty(image,"minimum-bounding-box:area","%.*g",
GetMagickPrecision(),caliper_info.area);
(void) FormatImageProperty(image,"minimum-bounding-box:width","%.*g",
GetMagickPrecision(),caliper_info.width);
(void) FormatImageProperty(image,"minimum-bounding-box:height","%.*g",
GetMagickPrecision(),caliper_info.height);
(void) FormatImageProperty(image,"minimum-bounding-box:_p","%.*g,%.*g",
GetMagickPrecision(),vertices[caliper_info.p].x,
GetMagickPrecision(),vertices[caliper_info.p].y);
(void) FormatImageProperty(image,"minimum-bounding-box:_q","%.*g,%.*g",
GetMagickPrecision(),vertices[caliper_info.q].x,
GetMagickPrecision(),vertices[caliper_info.q].y);
(void) FormatImageProperty(image,"minimum-bounding-box:_v","%.*g,%.*g",
GetMagickPrecision(),vertices[caliper_info.v].x,
GetMagickPrecision(),vertices[caliper_info.v].y);
/*
Find smallest angle to origin.
*/
distance=hypot(bounding_box[0].x,bounding_box[0].y);
angle=getAngle(&bounding_box[0],&bounding_box[1]);
for (i=1; i < 4; i++)
{
double d = hypot(bounding_box[i].x,bounding_box[i].y);
if (d < distance)
{
distance=d;
angle=getAngle(&bounding_box[i],&bounding_box[(i+1) % 4]);
}
}
artifact=GetImageArtifact(image,"minimum-bounding-box:orientation");
if (artifact != (const char *) NULL)
{
double
length,
q_length,
p_length;
PointInfo
delta,
point;
/*
Find smallest perpendicular distance from edge to origin.
*/
point=bounding_box[0];
for (i=1; i < 4; i++)
{
if (bounding_box[i].x < point.x)
point.x=bounding_box[i].x;
if (bounding_box[i].y < point.y)
point.y=bounding_box[i].y;
}
for (i=0; i < 4; i++)
{
bounding_box[i].x-=point.x;
bounding_box[i].y-=point.y;
}
for (i=0; i < 4; i++)
{
double
d,
intercept,
slope;
delta.x=bounding_box[(i+1) % 4].x-bounding_box[i].x;
delta.y=bounding_box[(i+1) % 4].y-bounding_box[i].y;
slope=delta.y*PerceptibleReciprocal(delta.x);
intercept=bounding_box[(i+1) % 4].y-slope*bounding_box[i].x;
d=fabs((slope*bounding_box[i].x-bounding_box[i].y+intercept)*
PerceptibleReciprocal(sqrt(slope*slope+1.0)));
if ((i == 0) || (d < distance))
{
distance=d;
point=delta;
}
}
angle=RadiansToDegrees(atan(point.y*PerceptibleReciprocal(point.x)));
length=hypot(point.x,point.y);
p_length=fabs((double) MagickMax(caliper_info.width,caliper_info.height)-
length);
q_length=fabs(length-(double) MagickMin(caliper_info.width,
caliper_info.height));
if (LocaleCompare(artifact,"landscape") == 0)
{
if (p_length > q_length)
angle+=(angle < 0.0) ? 90.0 : -90.0;
}
else
if (LocaleCompare(artifact,"portrait") == 0)
{
if (p_length < q_length)
angle+=(angle >= 0.0) ? 90.0 : -90.0;
}
}
(void) FormatImageProperty(image,"minimum-bounding-box:angle","%.*g",
GetMagickPrecision(),angle);
(void) FormatImageProperty(image,"minimum-bounding-box:unrotate","%.*g",
GetMagickPrecision(),-angle);
vertices=(PointInfo *) RelinquishMagickMemory(vertices);
return(bounding_box);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e Q u a n t u m D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageQuantumDepth() returns the depth of the image rounded to a legal
% quantum depth: 8, 16, or 32.
%
% The format of the GetImageQuantumDepth method is:
%
% size_t GetImageQuantumDepth(const Image *image,
% const MagickBooleanType constrain)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o constrain: A value other than MagickFalse, constrains the depth to
% a maximum of MAGICKCORE_QUANTUM_DEPTH.
%
*/
MagickExport size_t GetImageQuantumDepth(const Image *image,
const MagickBooleanType constrain)
{
size_t
depth;
depth=image->depth;
if (depth <= 8)
depth=8;
else
if (depth <= 16)
depth=16;
else
if (depth <= 32)
depth=32;
else
if (depth <= 64)
depth=64;
if (constrain != MagickFalse)
depth=(size_t) MagickMin((double) depth,(double) MAGICKCORE_QUANTUM_DEPTH);
return(depth);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageType() returns the type of image:
%
% Bilevel Grayscale GrayscaleMatte
% Palette PaletteMatte TrueColor
% TrueColorMatte ColorSeparation ColorSeparationMatte
%
% The format of the GetImageType method is:
%
% ImageType GetImageType(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport ImageType GetImageType(const Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->colorspace == CMYKColorspace)
{
if (image->alpha_trait == UndefinedPixelTrait)
return(ColorSeparationType);
return(ColorSeparationAlphaType);
}
if (IsImageMonochrome(image) != MagickFalse)
return(BilevelType);
if (IsImageGray(image) != MagickFalse)
{
if (image->alpha_trait != UndefinedPixelTrait)
return(GrayscaleAlphaType);
return(GrayscaleType);
}
if (IsPaletteImage(image) != MagickFalse)
{
if (image->alpha_trait != UndefinedPixelTrait)
return(PaletteAlphaType);
return(PaletteType);
}
if (image->alpha_trait != UndefinedPixelTrait)
return(TrueColorAlphaType);
return(TrueColorType);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i f y I m a g e G r a y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IdentifyImageGray() returns grayscale if all the pixels in the image have
% the same red, green, and blue intensities, and bi-level is the intensity is
% either 0 or QuantumRange. Otherwise undefined is returned.
%
% The format of the IdentifyImageGray method is:
%
% ImageType IdentifyImageGray(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ImageType IdentifyImageGray(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
ImageType
type;
const Quantum
*p;
ssize_t
x;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((image->type == BilevelType) || (image->type == GrayscaleType) ||
(image->type == GrayscaleAlphaType))
return(image->type);
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
return(UndefinedType);
type=BilevelType;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsPixelGray(image,p) == MagickFalse)
{
type=UndefinedType;
break;
}
if ((type == BilevelType) &&
(IsPixelMonochrome(image,p) == MagickFalse))
type=GrayscaleType;
p+=GetPixelChannels(image);
}
if (type == UndefinedType)
break;
}
image_view=DestroyCacheView(image_view);
if ((type == GrayscaleType) && (image->alpha_trait != UndefinedPixelTrait))
type=GrayscaleAlphaType;
return(type);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i f y I m a g e M o n o c h r o m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IdentifyImageMonochrome() returns MagickTrue if all the pixels in the image
% have the same red, green, and blue intensities and the intensity is either
% 0 or QuantumRange.
%
% The format of the IdentifyImageMonochrome method is:
%
% MagickBooleanType IdentifyImageMonochrome(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType IdentifyImageMonochrome(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
bilevel;
ssize_t
x;
const Quantum
*p;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->type == BilevelType)
return(MagickTrue);
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
return(MagickFalse);
bilevel=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsPixelMonochrome(image,p) == MagickFalse)
{
bilevel=MagickFalse;
break;
}
p+=GetPixelChannels(image);
}
if (bilevel == MagickFalse)
break;
}
image_view=DestroyCacheView(image_view);
return(bilevel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i f y I m a g e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IdentifyImageType() returns the potential type of image:
%
% Bilevel Grayscale GrayscaleMatte
% Palette PaletteMatte TrueColor
% TrueColorMatte ColorSeparation ColorSeparationMatte
%
% To ensure the image type matches its potential, use SetImageType():
%
% (void) SetImageType(image,IdentifyImageType(image,exception),exception);
%
% The format of the IdentifyImageType method is:
%
% ImageType IdentifyImageType(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ImageType IdentifyImageType(const Image *image,
ExceptionInfo *exception)
{
ImageType
type;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->colorspace == CMYKColorspace)
{
if (image->alpha_trait == UndefinedPixelTrait)
return(ColorSeparationType);
return(ColorSeparationAlphaType);
}
type=IdentifyImageGray(image,exception);
if ((type == BilevelType) || (type == GrayscaleType) ||
(type == GrayscaleAlphaType))
return(type);
if (IdentifyPaletteImage(image,exception) != MagickFalse)
{
if (image->alpha_trait != UndefinedPixelTrait)
return(PaletteAlphaType);
return(PaletteType);
}
if (image->alpha_trait != UndefinedPixelTrait)
return(TrueColorAlphaType);
return(TrueColorType);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e G r a y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImageGray() returns MagickTrue if the type of the image is grayscale or
% bi-level.
%
% The format of the IsImageGray method is:
%
% MagickBooleanType IsImageGray(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType IsImageGray(const Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if ((image->type == BilevelType) || (image->type == GrayscaleType) ||
(image->type == GrayscaleAlphaType))
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e M o n o c h r o m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImageMonochrome() returns MagickTrue if type of the image is bi-level.
%
% The format of the IsImageMonochrome method is:
%
% MagickBooleanType IsImageMonochrome(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType IsImageMonochrome(const Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->type == BilevelType)
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e O p a q u e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImageOpaque() returns MagickTrue if none of the pixels in the image have
% an alpha value other than OpaqueAlpha (QuantumRange).
%
% Will return true immediatally is alpha channel is not available.
%
% The format of the IsImageOpaque method is:
%
% MagickBooleanType IsImageOpaque(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType IsImageOpaque(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
const Quantum
*p;
ssize_t
x;
ssize_t
y;
/*
Determine if image is opaque.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->alpha_trait == UndefinedPixelTrait)
return(MagickTrue);
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelAlpha(image,p) != OpaqueAlpha)
break;
p+=GetPixelChannels(image);
}
if (x < (ssize_t) image->columns)
break;
}
image_view=DestroyCacheView(image_view);
return(y < (ssize_t) image->rows ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageDepth() sets the depth of the image.
%
% The format of the SetImageDepth method is:
%
% MagickBooleanType SetImageDepth(Image *image,const size_t depth,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o depth: the image depth.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageDepth(Image *image,
const size_t depth,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
QuantumAny
range;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (depth >= MAGICKCORE_QUANTUM_DEPTH)
{
image->depth=depth;
return(MagickTrue);
}
range=GetQuantumRange(depth);
if (image->storage_class == PseudoClass)
{
ssize_t
i;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->colors,1)
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(double) ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel(image->colormap[i].red),range),range);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(double) ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel(image->colormap[i].green),range),range);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(double) ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel(image->colormap[i].blue),range),range);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(double) ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel(image->colormap[i].alpha),range),range);
}
}
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if !defined(MAGICKCORE_HDRI_SUPPORT)
if ((1UL*QuantumRange) <= MaxMap)
{
Quantum
*depth_map;
ssize_t
i;
/*
Scale pixels to desired (optimized with depth map).
*/
depth_map=(Quantum *) AcquireQuantumMemory(MaxMap+1,sizeof(*depth_map));
if (depth_map == (Quantum *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
for (i=0; i <= (ssize_t) MaxMap; i++)
depth_map[i]=ScaleAnyToQuantum(ScaleQuantumToAny((Quantum) i,range),
range);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
ssize_t
x;
Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel
channel;
PixelTrait
traits;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=depth_map[ScaleQuantumToMap(q[i])];
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
{
status=MagickFalse;
continue;
}
}
image_view=DestroyCacheView(image_view);
depth_map=(Quantum *) RelinquishMagickMemory(depth_map);
if (status != MagickFalse)
image->depth=depth;
return(status);
}
#endif
/*
Scale pixels to desired depth.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
ssize_t
x;
Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel
channel;
PixelTrait
traits;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ScaleAnyToQuantum(ScaleQuantumToAny(ClampPixel((MagickRealType)
q[i]),range),range);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
{
status=MagickFalse;
continue;
}
}
image_view=DestroyCacheView(image_view);
if (status != MagickFalse)
image->depth=depth;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageType() sets the type of image. Choose from these types:
%
% Bilevel Grayscale GrayscaleMatte
% Palette PaletteMatte TrueColor
% TrueColorMatte ColorSeparation ColorSeparationMatte
% OptimizeType
%
% The format of the SetImageType method is:
%
% MagickBooleanType SetImageType(Image *image,const ImageType type,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o type: Image type.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageType(Image *image,const ImageType type,
ExceptionInfo *exception)
{
const char
*artifact;
ImageInfo
*image_info;
MagickBooleanType
status;
QuantizeInfo
*quantize_info;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
status=MagickTrue;
image_info=AcquireImageInfo();
image_info->dither=image->dither;
artifact=GetImageArtifact(image,"dither");
if (artifact != (const char *) NULL)
(void) SetImageOption(image_info,"dither",artifact);
switch (type)
{
case BilevelType:
{
status=TransformImageColorspace(image,GRAYColorspace,exception);
(void) NormalizeImage(image,exception);
quantize_info=AcquireQuantizeInfo(image_info);
quantize_info->number_colors=2;
quantize_info->colorspace=GRAYColorspace;
status=QuantizeImage(quantize_info,image,exception);
quantize_info=DestroyQuantizeInfo(quantize_info);
image->alpha_trait=UndefinedPixelTrait;
break;
}
case GrayscaleType:
{
status=TransformImageColorspace(image,GRAYColorspace,exception);
image->alpha_trait=UndefinedPixelTrait;
break;
}
case GrayscaleAlphaType:
{
status=TransformImageColorspace(image,GRAYColorspace,exception);
if (image->alpha_trait == UndefinedPixelTrait)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel,exception);
break;
}
case PaletteType:
{
status=TransformImageColorspace(image,sRGBColorspace,exception);
if ((image->storage_class == DirectClass) || (image->colors > 256))
{
quantize_info=AcquireQuantizeInfo(image_info);
quantize_info->number_colors=256;
status=QuantizeImage(quantize_info,image,exception);
quantize_info=DestroyQuantizeInfo(quantize_info);
}
image->alpha_trait=UndefinedPixelTrait;
break;
}
case PaletteBilevelAlphaType:
{
ChannelType
channel_mask;
status=TransformImageColorspace(image,sRGBColorspace,exception);
if (image->alpha_trait == UndefinedPixelTrait)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel,exception);
channel_mask=SetImageChannelMask(image,AlphaChannel);
(void) BilevelImage(image,(double) QuantumRange/2.0,exception);
(void) SetImageChannelMask(image,channel_mask);
quantize_info=AcquireQuantizeInfo(image_info);
status=QuantizeImage(quantize_info,image,exception);
quantize_info=DestroyQuantizeInfo(quantize_info);
break;
}
case PaletteAlphaType:
{
status=TransformImageColorspace(image,sRGBColorspace,exception);
if (image->alpha_trait == UndefinedPixelTrait)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel,exception);
quantize_info=AcquireQuantizeInfo(image_info);
quantize_info->colorspace=TransparentColorspace;
status=QuantizeImage(quantize_info,image,exception);
quantize_info=DestroyQuantizeInfo(quantize_info);
break;
}
case TrueColorType:
{
status=TransformImageColorspace(image,sRGBColorspace,exception);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass,exception);
image->alpha_trait=UndefinedPixelTrait;
break;
}
case TrueColorAlphaType:
{
status=TransformImageColorspace(image,sRGBColorspace,exception);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass,exception);
if (image->alpha_trait == UndefinedPixelTrait)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel,exception);
break;
}
case ColorSeparationType:
{
status=TransformImageColorspace(image,CMYKColorspace,exception);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass,exception);
image->alpha_trait=UndefinedPixelTrait;
break;
}
case ColorSeparationAlphaType:
{
status=TransformImageColorspace(image,CMYKColorspace,exception);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass,exception);
if (image->alpha_trait == UndefinedPixelTrait)
status=SetImageAlphaChannel(image,OpaqueAlphaChannel,exception);
break;
}
case OptimizeType:
case UndefinedType:
break;
}
image_info=DestroyImageInfo(image_info);
if (status == MagickFalse)
return(status);
image->type=type;
return(MagickTrue);
}
|
13_vector_dot_product.c | /*
Program : 13
Author : Debottam
Topic : Write a C program using Open MP features to find the dot
product of two vectors of size n each in constant time complexity.
[Hint: Dot product = Ʃ(A[i]*B[i])]
*/
#include <stdio.h>
#include <omp.h>
#define N 3
int main()
{
int A[]={3,-5,4},i;
int B[]={2,6,5},C[N],D=0;
int m= omp_get_num_procs();
omp_set_num_threads(m);
#pragma omp parallel for shared(D) private(i)
for(i=0;i<N;i++)
{
D=D+(A[i]*B[i]);
}
printf("\nDot product, D = A.B = %d\n",D);
return 0;
} |
simple_env.c | // RUN: %libomp-compile
// RUN: env OMP_DISPLAY_AFFINITY=true OMP_AFFINITY_FORMAT='TESTER-ENV: tl:%L tn:%n nt:%N' OMP_NUM_THREADS=8 %libomp-run | %python %S/check.py -c 'CHECK-8' %s
// REQUIRES: !abt
#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main(int argc, char** argv) {
#pragma omp parallel
{ }
#pragma omp parallel
{ }
return 0;
}
// CHECK-8: num_threads=8 TESTER-ENV: tl:1 tn:[0-7] nt:8
|
pi01.c | #include <omp.h>
#include <stdio.h>
static long num_steps = 100000;
double step;
#define NUM_THREADS 2
void main ()
{
int i;
double x, pi, sum[NUM_THREADS];
step = 1.0/(double) num_steps;
omp_set_num_threads(NUM_THREADS);
#pragma omp parallel private(i)
{
double x;
int id;
id = omp_get_thread_num();
sum[id] = 0;
printf("my id = %d\n",id);
#pragma omp for
for (i=0;i< num_steps; i++){
//int id2 = omp_get_thread_num();
//if (i%10000==0) printf("my id2 = %d, i=%d\n", id2, i);
x = (i+0.5)*step;
sum[id] += 4.0/(1.0+x*x);
}
}
for(i=0, pi=0.0;i<NUM_THREADS;i++)pi += sum[i] * step;
printf("Pi = %lf\n",pi);
}
|
omp_ex_28.c | #include <stdio.h>
#include <omp.h>
/*
MIT License
Copyright (c) 2019 NOUREDDINE DAGHBOUDJ
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/
int main()
{
#pragma omp parallel for schedule(dynamic)
for(unsigned int i=0; i<16; i++)
{
unsigned id = omp_get_thread_num();
printf("i = %i from thread: %i\n", i, id);
}
return 0;
}
|
GB_unop__asinh_fc64_fc64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__asinh_fc64_fc64)
// op(A') function: GB (_unop_tran__asinh_fc64_fc64)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// cast: GxB_FC64_t cij = aij
// unaryop: cij = casinh (aij)
#define GB_ATYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = casinh (x) ;
// casting
#define GB_CAST(z, aij) \
GxB_FC64_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC64_t z = aij ; \
Cx [pC] = casinh (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ASINH || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__asinh_fc64_fc64)
(
GxB_FC64_t *Cx, // Cx and Ax may be aliased
const GxB_FC64_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = casinh (z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
GxB_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = casinh (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__asinh_fc64_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
option_warn.c | // RUN: %clang_cc1 -verify -Wsource-uses-openmp -o - %s
int a;
#pragma omp threadprivate(a,b) // expected-warning {{unexpected '#pragma omp ...' in program}}
#pragma omp parallel
|
mandel-par-dynamic.c | #include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <omp.h>
#include "complex.h"
#include "linspace.h"
int rows;
int columns;
int chunk_size;
int nthreads;
void setGlobalVariables() {
rows = atoi(getenv("INPUTMAT_ROWS"));
columns = atoi(getenv("INPUTMAT_COLS"));
chunk_size = atoi(getenv("SCHED_CHUNK_SIZE"));
nthreads = atoi(getenv("NUM_THREADS"));
}
void printMatrix(int **m) {
for(int i = 0; i < rows; i++){
for(int j = 0; j < columns; j++){
printf("%d ", m[i][j]);
}
printf("\n");
}
}
void matrixToCsv(int **m) {
FILE *fp;
char filename[25];
sprintf(filename, "output-omp-par-%d.csv", rows);
fp = fopen(filename, "w");
for (int i = 0; i < rows; i++) {
for (int j = 0; j < columns; j++) {
if (j != columns-1) {
fprintf(fp, "%d;", m[i][j]);
} else {
fprintf(fp, "%d\n", m[i][j]);
}
}
}
fclose(fp);
}
int mandelbrotorbit(Complex c) {
Complex z;
z.re = 0.0; z.im = 0.0;
z = addComplex(multComplex(z, z), c);
for (int i = 1; i <= 100; i++) {
if (absComplex(z) > 2) {
return i - 1;
}
z = addComplex(multComplex(z, z), c);
}
return 100;
}
int** mandelbrot(Complex** inputmat) {
int **outputmat = malloc(rows * sizeof(int*));
for (int i = 0; i < rows; i++){
outputmat[i] = malloc(columns * sizeof(int));
}
#pragma omp parallel for schedule(dynamic, chunk_size) num_threads(nthreads)
for(int i = 0; i < rows; i++) {
for(int j = 0; j < columns; j++) {
outputmat[i][j] = mandelbrotorbit(inputmat[i][j]);
}
}
return outputmat;
}
int main(int argc, char *argv[]) {
setGlobalVariables();
Complex start, end;
start.re = -2.5; start.im = -1.25;
end.re = 1.0; end.im = 1.25;
Complex **inputmat = clinspace(start, end, rows, columns);
int **outputmat = mandelbrot(inputmat);
if(argc > 1){
if(!strcmp(argv[1], "-export")){
matrixToCsv(outputmat);
}
}
return 0;
}
|
bml_submatrix_ellpack_typed.c | #ifdef BML_USE_MAGMA
#include "magma_v2.h"
#endif
#include "../../macros.h"
#include "../../typed.h"
#include "../bml_allocate.h"
#include "../bml_logger.h"
#include "../bml_submatrix.h"
#include "../bml_types.h"
#include "../dense/bml_allocate_dense.h"
#include "bml_allocate_ellpack.h"
#include "bml_submatrix_ellpack.h"
#include "bml_types_ellpack.h"
#include <complex.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#ifdef _OPENMP
#include <omp.h>
#endif
/** Determine element indices for submatrix, given a set of nodes/orbitals.
*
* \ingroup submatrix_group_C
*
* \param A Hamiltonian matrix A
* \param B Graph matrix B
* \param nodelist List of node/orbital indeces
* \param nsize Size of nodelist
* \param core_halo_index List of core+halo indeces
* \param vsize Size of core_halo_index and number of cores
* \param double_jump_flag Flag to use double jump (0=no, 1=yes)
*/
void TYPED_FUNC(
bml_matrix2submatrix_index_ellpack) (
bml_matrix_ellpack_t * A,
bml_matrix_ellpack_t * B,
int *nodelist,
int nsize,
int *core_halo_index,
int *vsize,
int double_jump_flag)
{
int l, ll, ii, ls, k;
int A_N = A->N;
int A_M = A->M;
int *A_nnz = A->nnz;
int *A_index = A->index;
int B_N = B->N;
int B_M = B->M;
int *B_nnz = B->nnz;
int *B_index = B->index;
int ix[A_N];
memset(ix, 0, A_N * sizeof(int));
l = 0;
ll = 0;
// Cores are first followed by halos
for (int j = 0; j < nsize; j++)
{
ii = nodelist[j];
if (ix[ii] == 0)
{
ix[ii] = ii + 1;
core_halo_index[l] = ii;
l++;
ll++;
}
}
// Collect halo indeces from graph
for (int j = 0; j < nsize; j++)
{
ii = nodelist[j];
for (int jp = 0; jp < B_nnz[ii]; jp++)
{
k = B_index[ROWMAJOR(ii, jp, B_N, B_M)];
if (ix[k] == 0)
{
ix[k] = ii + 1;
core_halo_index[l] = k;
l++;
}
}
}
// Add more halo elements from H
for (int j = 0; j < nsize; j++)
{
ii = nodelist[j];
for (int jp = 0; jp < A_nnz[ii]; jp++)
{
k = A_index[ROWMAJOR(ii, jp, A_N, A_M)];
if (ix[k] == 0)
{
ix[k] = ii + 1;
core_halo_index[l] = k;
l++;
}
}
}
// Perform a "double jump" for extra halo elements
// based on graph, like performing a symbolic X^2
if (double_jump_flag == 1)
{
ls = l;
for (int j = 0; j < ls; j++)
{
ii = core_halo_index[j];
for (int jp = 0; jp < B_nnz[ii]; jp++)
{
k = B_index[ROWMAJOR(ii, jp, B_N, B_M)];
if (ix[k] == 0)
{
ix[k] = ii + 1;
core_halo_index[l] = k;
l++;
}
}
}
}
vsize[0] = l;
vsize[1] = ll;
}
/** Determine element indices for submatrix, given a set of nodes/orbitals.
*
* \ingroup submatrix_group_C
*
* \param B Graph matrix B
* \param nodelist List of node/orbital indeces
* \param nsize Size of nodelist
* \param core_halo_index List of core+halo indeces
* \param vsize Size of core_halo_index and number of cores
* \param double_jump_flag Flag to use double jump (0=no, 1=yes)
*/
void TYPED_FUNC(
bml_matrix2submatrix_index_graph_ellpack) (
bml_matrix_ellpack_t * B,
int *nodelist,
int nsize,
int *core_halo_index,
int *vsize,
int double_jump_flag)
{
int l, ll, ii, ls, k;
int B_N = B->N;
int B_M = B->M;
int *B_index = B->index;
int *B_nnz = B->nnz;
int ix[B_N];
memset(ix, 0, B_N * sizeof(int));
l = 0;
ll = 0;
// Cores are first followed by halos
for (int j = 0; j < nsize; j++)
{
ii = nodelist[j];
if (ix[ii] == 0)
{
ix[ii] = ii + 1;
core_halo_index[l] = ii;
l++;
ll++;
}
}
// Collext halo indeces from graph
for (int j = 0; j < nsize; j++)
{
ii = nodelist[j];
for (int jp = 0; jp < B_nnz[ii]; jp++)
{
k = B_index[ROWMAJOR(ii, jp, B_N, B_M)];
if (ix[k] == 0)
{
ix[k] = ii + 1;
core_halo_index[l] = k;
l++;
}
}
}
// Use graph for double jumps
if (double_jump_flag == 1)
{
ls = l;
for (int j = 0; j < ls; j++)
{
ii = core_halo_index[j];
for (int jp = 0; jp < B_nnz[ii]; jp++)
{
k = B_index[ROWMAJOR(ii, jp, B_N, B_M)];
if (ix[k] == 0)
{
ix[k] = ii + 1;
core_halo_index[l] = k;
l++;
}
}
}
}
vsize[0] = l;
vsize[1] = ll;
}
/** Extract a submatrix from a matrix given a set of core+halo rows.
*
* \ingroup submatrix_group_C
*
* \param A Matrix A
* \param B Submatrix B
* \param core_halo_index Set of row indeces for submatrix
* \param llsize Number of indeces
*/
void TYPED_FUNC(
bml_matrix2submatrix_ellpack) (
bml_matrix_ellpack_t * A,
bml_matrix_dense_t * B,
int *core_halo_index,
int lsize)
{
REAL_T *rvalue;
int B_N = B->N;
#ifdef BML_USE_MAGMA
REAL_T *B_matrix = bml_allocate_memory(sizeof(REAL_T) * B->N * B->N);
#else
REAL_T *B_matrix = B->matrix;
#endif
#pragma omp parallel for \
private(rvalue) \
shared(core_halo_index) \
shared(A, B_matrix, B_N)
for (int jb = 0; jb < lsize; jb++)
{
rvalue = TYPED_FUNC(bml_getVector_ellpack) (A, core_halo_index,
core_halo_index[jb],
lsize);
for (int j = 0; j < lsize; j++)
{
B_matrix[ROWMAJOR(jb, j, B_N, B_N)] = rvalue[j];
}
free(rvalue);
}
#ifdef BML_USE_MAGMA
MAGMA(setmatrix) (B_N, B_N, (MAGMA_T *) B_matrix, B_N,
B->matrix, B->ld, B->queue);
free(B_matrix);
#endif
}
/** Assemble submatrix into a full matrix based on core+halo indeces.
*
* \ingroup submatrix_group_C
*
* \param A Submatrix A
* \param B Matrix B
* \param core_halo_index Set of submatrix row indeces
* \param lsize Number of indeces
* \param llsize Number of core positions
*/
void TYPED_FUNC(
bml_submatrix2matrix_ellpack) (
bml_matrix_dense_t * A,
bml_matrix_ellpack_t * B,
int *core_halo_index,
int lsize,
int llsize,
double threshold)
{
int A_N = A->N;
#ifdef BML_USE_MAGMA
REAL_T *A_matrix = bml_allocate_memory(sizeof(REAL_T) * A->N * A->N);
MAGMA(getmatrix) (A->N, A->N,
A->matrix, A->ld, (MAGMA_T *) A_matrix, A->N, A->queue);
#else
REAL_T *A_matrix = A->matrix;
#endif
int B_N = B->N;
int B_M = B->M;
int *B_nnz = B->nnz;
int *B_index = B->index;
REAL_T *B_value = B->value;
int ii, icol;
#pragma omp parallel for \
private(ii, icol) \
shared(core_halo_index) \
shared(A_N, A_matrix) \
shared(B_N, B_M, B_nnz, B_index, B_value)
for (int ja = 0; ja < llsize; ja++)
{
ii = core_halo_index[ja];
icol = 0;
for (int jb = 0; jb < lsize; jb++)
{
if (ABS(A_matrix[ROWMAJOR(ja, jb, A_N, A_N)]) > threshold)
{
B_index[ROWMAJOR(ii, icol, B_N, B_M)] = core_halo_index[jb];
B_value[ROWMAJOR(ii, icol, B_N, B_M)] =
A_matrix[ROWMAJOR(ja, jb, A_N, A_N)];
icol++;
}
}
if (icol > B_M)
{
LOG_ERROR("Number of non-zeroes per row >= M, Increase M\n");
}
B_nnz[ii] = icol;
}
#ifdef BML_USE_MAGMA
free(A_matrix);
#endif
}
// Get matching vector of values
void *TYPED_FUNC(
bml_getVector_ellpack) (
bml_matrix_ellpack_t * A,
int *jj,
int irow,
int colCnt)
{
REAL_T ZERO = 0.0;
int A_N = A->N;
int A_M = A->M;
int *A_nnz = A->nnz;
int *A_index = A->index;
REAL_T *A_value = A->value;
REAL_T *rvalue = bml_noinit_allocate_memory(colCnt * sizeof(REAL_T));
for (int i = 0; i < colCnt; i++)
{
for (int j = 0; j < A_nnz[irow]; j++)
{
if (A_index[ROWMAJOR(irow, j, A_N, A_M)] == jj[i])
{
rvalue[i] = A_value[ROWMAJOR(irow, j, A_N, A_M)];
break;
}
rvalue[i] = ZERO;
}
}
return rvalue;
}
/** Assemble matrix based on groups of rows from a matrix.
*
* \ingroup submatrix_group_C
*
* \param A Matrix A
* \param hindex Indeces of nodes
* \param ngroups Number of groups
* \param threshold Threshold for graph
*/
bml_matrix_ellpack_t *TYPED_FUNC(
bml_group_matrix_ellpack) (
bml_matrix_ellpack_t * A,
int *hindex,
int ngroups,
double threshold)
{
int A_N = A->N;
int A_M = A->M;
int *A_index = A->index;
int *A_nnz = A->nnz;
REAL_T *A_value = A->value;
#if !(defined(__IBMC_) || defined(__ibmxl__))
int ix[ngroups];
memset(ix, 0, sizeof(int) * ngroups);
#endif
int hnode[A_N];
int hend;
bml_matrix_dimension_t matrix_dimension = { ngroups, ngroups, ngroups };
bml_matrix_ellpack_t *B =
TYPED_FUNC(bml_noinit_matrix_ellpack) (matrix_dimension,
A->distribution_mode);
int B_N = B->N;
int B_M = B->M;
int *B_index = B->index;
int *B_nnz = B->nnz;
REAL_T *B_value = B->value;
#pragma omp parallel for \
private(hend) \
shared(hindex, hnode, A_N)
for (int i = 0; i < ngroups; i++)
{
if (i == ngroups - 1)
hend = A_N;
else
hend = hindex[i + 1] - 1;
for (int j = hindex[i] - 1; j < hend; j++)
{
hnode[j] = i;
}
}
#if defined(__IBMC_) || defined(__ibmxl__)
#pragma omp parallel for \
private(hend) \
shared(hindex, hnode) \
shared(A_nnz, A_index, A_value, A_N, A_M) \
shared(B_nnz, B_index, B_value, B_N, B_M)
#else
#pragma omp parallel for \
private(hend) \
shared(hindex, hnode) \
shared(A_nnz, A_index, A_value, A_N, A_M) \
shared(B_nnz, B_index, B_value, B_N, B_M) \
firstprivate(ix)
#endif
for (int i = 0; i < B_N; i++)
{
#if defined(__IBMC_) || defined(__ibmxl__)
int ix[ngroups];
memset(ix, 0, sizeof(int) * ngroups);
#endif
ix[i] = i + 1;
B_index[ROWMAJOR(i, 0, B_N, B_M)] = i;
B_value[ROWMAJOR(i, 0, B_N, B_M)] = 1.0;
B_nnz[i] = 1;
if (i == B_N - 1)
hend = A_N;
else
hend = hindex[i + 1] - 1;
for (int j = hindex[i] - 1; j < hend; j++)
{
for (int k = 0; k < A_nnz[j]; k++)
{
int ii = hnode[A_index[ROWMAJOR(j, k, A_N, A_M)]];
if (ix[ii] == 0 && ii != i)
{
//printf("row = %d col = %d val = %e\n", j, A_index[ROWMAJOR(j, k, A_N, A_M)], A_value[ROWMAJOR(j, k, A_N, A_M)]);
if (is_above_threshold(A_value[ROWMAJOR(j, k, A_N, A_M)],
threshold))
{
ix[ii] = i + 1;
B_index[ROWMAJOR(i, B_nnz[i], B_N, B_M)] = ii;
B_value[ROWMAJOR(i, B_nnz[i], B_N, B_M)] = 1.0;
B_nnz[i]++;
}
else
{
int kk = A_index[ROWMAJOR(j, k, A_N, A_M)];
for (int l = 0; l < A_nnz[kk]; l++)
{
int jj =
hnode[A_index[ROWMAJOR(kk, l, A_N, A_M)]];
if (jj == i)
{
//printf("sym row = %d col = %d val = %e\n", kk, A_index[ROWMAJOR(kk, l, A_N, A_M)], A_value[ROWMAJOR(kk, l, A_N, A_M)]);
if (is_above_threshold
(A_value[ROWMAJOR(kk, l, A_N, A_M)],
threshold))
{
ix[ii] = i + 1;
B_index[ROWMAJOR(i, B_nnz[i], B_N, B_M)] =
ii;
B_value[ROWMAJOR(i, B_nnz[i], B_N, B_M)] =
1.0;
B_nnz[i]++;
break;
}
}
}
}
}
}
}
}
return B;
}
|
doall1-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
// one dimension array computation
int a[100];
int main()
{
int i;
#pragma omp parallel for
for (i=0;i<100;i++)
a[i]=a[i]+1;
return 0;
}
|
nestedomp.c | #include <stdio.h>
#include <unistd.h>
#ifdef THREADED_OMP
#include <omp.h>
#endif
#include "../gptl.h"
int main ()
{
int m, n; /* inner, outer nested loop indices */
int t; /* linear thread number */
const int msize = 2; /* dimension M */
double value; /* return from GPTLget_wallclock */
int ret;
void sub (const int, const int, const int);
#ifdef THREADED_OMP
omp_set_num_threads (6); /* 3 outer x 2 inner threads */
omp_set_nested (1);
#endif
ret = GPTLinitialize ();
#pragma omp parallel for private (n) num_threads(3)
for (n = 0; n < 3; ++n) {
#pragma omp parallel for private (m, ret) num_threads(2)
for (m = 0; m < msize; ++m) {
ret = GPTLstart ("sub");
sub (m, n, msize);
ret = GPTLstop ("sub");
}
}
#ifdef THREADED_OMP
for (n = 0; n < 3; ++n) {
for (m = 0; m < msize; ++m) {
t = n*msize + m;
ret = GPTLget_wallclock ("sub", t, &value);
if (ret != 0) {
printf ("Failure to get wallclock for t=%d\n", t);
return 1;
}
}
}
#endif
ret = GPTLpr (0);
return 0;
}
void sub (const int m, const int n, const int msize)
{
int sleep_usecs = (useconds_t) (n*msize + m) * 1000;
(void) usleep (sleep_usecs);
}
|
4126.c | /* POLYBENCH/GPU-OPENMP
*
* This file is a part of the Polybench/GPU-OpenMP suite
*
* Contact:
* William Killian <killian@udel.edu>
*
* Copyright 2013, The University of Delaware
*/
#include <stdio.h>
#include <unistd.h>
#include <string.h>
#include <math.h>
/* Include polybench common header. */
#include <polybench.h>
/* Include benchmark-specific header. */
/* Default data type is double, default size is 4096x4096. */
#include "convolution-2d.h"
/* Array initialization. */
static
void init_array (int ni, int nj,
DATA_TYPE POLYBENCH_2D(A,NI,NJ,ni,nj))
{
// printf("Initializing Array\n");
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nj; j++)
{
A[i][j] = ((DATA_TYPE) (i + j) / nj);
}
}
/* DCE code. Must scan the entire live-out data.
Can be used also to check the correctness of the output. */
static
void print_array(int ni, int nj,
DATA_TYPE POLYBENCH_2D(B,NI,NJ,ni,nj))
{
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nj; j++) {
fprintf(stderr, DATA_PRINTF_MODIFIER, B[i][j]);
if ((i * NJ + j) % 20 == 0) fprintf(stderr, "\n");
}
fprintf(stderr, "\n");
}
/* Main computational kernel. The whole function will be timed,
including the call and return. */
static
void kernel_conv2d(int ni,
int nj,
DATA_TYPE POLYBENCH_2D(A,NI,NJ,ni,nj),
DATA_TYPE POLYBENCH_2D(B,NI,NJ,ni,nj))
{
int i, j;
#pragma scop
for (i = 1; i < _PB_NI - 1; ++i)
{
#pragma omp
for (j = 1; j < _PB_NJ - 1; ++j)
{
B[i][j] = 0.2 * A[i-1][j-1] + 0.5 * A[i-1][j] + -0.8 * A[i-1][j+1]
+ -0.3 * A[ i ][j-1] + 0.6 * A[ i ][j] + -0.9 * A[ i ][j+1]
+ 0.4 * A[i+1][j-1] + 0.7 * A[i+1][j] + 0.1 * A[i+1][j+1];
}
}
#pragma endscop
// printf("Kernal computation complete !!\n");
}
int main(int argc, char** argv)
{
/* Retrieve problem size. */
int ni = NI;
int nj = NJ;
/* Variable declaration/allocation. */
POLYBENCH_2D_ARRAY_DECL(A, DATA_TYPE, NI, NJ, ni, nj);
POLYBENCH_2D_ARRAY_DECL(B, DATA_TYPE, NI, NJ, ni, nj);
/* Initialize array(s). */
init_array (ni, nj, POLYBENCH_ARRAY(A));
/* Start timer. */
//polybench_start_instruments;
polybench_timer_start();
/* Run kernel. */
kernel_conv2d (ni, nj, POLYBENCH_ARRAY(A), POLYBENCH_ARRAY(B));
/* Stop and print timer. */
polybench_timer_stop();
polybench_timer_print();
//polybench_stop_instruments;
//polybench_print_instruments;
/* Prevent dead-code elimination. All live-out data must be printed
by the function call in argument. */
polybench_prevent_dce(print_array(ni, nj, POLYBENCH_ARRAY(B)));
/* Be clean. */
POLYBENCH_FREE_ARRAY(A);
POLYBENCH_FREE_ARRAY(B);
return 0;
}
|
residualbased_newton_raphson_contact_strategy.h | // KRATOS ___| | | |
// \___ \ __| __| | | __| __| | | __| _` | |
// | | | | | ( | | | | ( | |
// _____/ \__|_| \__,_|\___|\__|\__,_|_| \__,_|_| MECHANICS
//
// License: BSD License
// license: StructuralMechanicsApplication/license.txt
//
// Main authors: Vicente Mataix Ferrandiz
//
#if !defined(KRATOS_RESIDUALBASED_NEWTON_RAPHSON_CONTACT_STRATEGY)
#define KRATOS_RESIDUALBASED_NEWTON_RAPHSON_CONTACT_STRATEGY
/* System Includes */
/* External Includes */
/* Project includes */
#include "contact_structural_mechanics_application_variables.h"
#include "includes/kratos_parameters.h"
#include "includes/define.h"
#include "includes/model_part.h"
#include "includes/variables.h"
// Strategies
#include "solving_strategies/strategies/residualbased_newton_raphson_strategy.h"
// Utilities
#include "utilities/variable_utils.h"
#include "utilities/color_utilities.h"
#include "utilities/math_utils.h"
#include "custom_python/process_factory_utility.h"
#include "custom_utilities/contact_utilities.h"
namespace Kratos {
///@name Kratos Globals
///@{
///@}
///@name Type Definitions
///@{
///@}
///@name Enum's
///@{
///@}
///@name Functions
///@{
///@}
///@name Kratos Classes
///@{
/**
* @class ResidualBasedNewtonRaphsonContactStrategy
* @ingroup ContactStructuralMechanicsApplication
* @brief Contact Newton Raphson class
* @details This class is a specialization of the Newton Raphson strategy with some custom modifications for contact problems
* @author Vicente Mataix Ferrandiz
*/
template<class TSparseSpace,
class TDenseSpace, // = DenseSpace<double>,
class TLinearSolver //= LinearSolver<TSparseSpace,TDenseSpace>
>
class ResidualBasedNewtonRaphsonContactStrategy :
public ResidualBasedNewtonRaphsonStrategy< TSparseSpace, TDenseSpace, TLinearSolver >
{
public:
///@name Type Definitions
///@{
/** Counted pointer of ClassName */
KRATOS_CLASS_POINTER_DEFINITION( ResidualBasedNewtonRaphsonContactStrategy );
typedef SolvingStrategy<TSparseSpace, TDenseSpace, TLinearSolver> StrategyBaseType;
typedef ResidualBasedNewtonRaphsonStrategy<TSparseSpace, TDenseSpace, TLinearSolver> BaseType;
typedef ConvergenceCriteria<TSparseSpace, TDenseSpace> TConvergenceCriteriaType;
typedef typename BaseType::TBuilderAndSolverType TBuilderAndSolverType;
typedef typename BaseType::TDataType TDataType;
typedef TSparseSpace SparseSpaceType;
typedef typename BaseType::TSchemeType TSchemeType;
typedef typename BaseType::DofsArrayType DofsArrayType;
typedef typename BaseType::TSystemMatrixType TSystemMatrixType;
typedef typename BaseType::TSystemVectorType TSystemVectorType;
typedef typename BaseType::LocalSystemVectorType LocalSystemVectorType;
typedef typename BaseType::LocalSystemMatrixType LocalSystemMatrixType;
typedef typename BaseType::TSystemMatrixPointerType TSystemMatrixPointerType;
typedef typename BaseType::TSystemVectorPointerType TSystemVectorPointerType;
typedef ModelPart::NodesContainerType NodesArrayType;
typedef ModelPart::ElementsContainerType ElementsArrayType;
typedef ModelPart::ConditionsContainerType ConditionsArrayType;
typedef ProcessFactoryUtility::Pointer ProcessesListType;
typedef std::size_t IndexType;
/**
* @brief Default constructor
* @param rModelPart The model part of the problem
* @param p_scheme The integration scheme
* @param pNewLinearSolver The linear solver employed
* @param pNewConvergenceCriteria The convergence criteria employed
* @param MaxIterations The maximum number of iterations
* @param CalculateReactions The flag for the reaction calculation
* @param ReformDofSetAtEachStep The flag that allows to compute the modification of the DOF
* @param MoveMeshFlag The flag that allows to move the mesh
*/
ResidualBasedNewtonRaphsonContactStrategy(
ModelPart& rModelPart,
typename TSchemeType::Pointer p_scheme,
typename TLinearSolver::Pointer pNewLinearSolver,
typename TConvergenceCriteriaType::Pointer pNewConvergenceCriteria,
IndexType MaxIterations = 30,
bool CalculateReactions = false,
bool ReformDofSetAtEachStep = false,
bool MoveMeshFlag = false,
Parameters ThisParameters = Parameters(R"({})"),
ProcessesListType pMyProcesses = nullptr,
ProcessesListType pPostProcesses = nullptr
)
: ResidualBasedNewtonRaphsonStrategy<TSparseSpace, TDenseSpace, TLinearSolver>(rModelPart, p_scheme, pNewLinearSolver, pNewConvergenceCriteria, MaxIterations, CalculateReactions, ReformDofSetAtEachStep, MoveMeshFlag),
mThisParameters(ThisParameters),
mpMyProcesses(pMyProcesses),
mpPostProcesses(pPostProcesses)
{
KRATOS_TRY;
mConvergenceCriteriaEchoLevel = pNewConvergenceCriteria->GetEchoLevel();
Parameters default_parameters = GetDefaultParameters();
mThisParameters.ValidateAndAssignDefaults(default_parameters);
KRATOS_CATCH("");
}
/**
* @brief Default constructor
* @param rModelPart The model part of the problem
* @param p_scheme The integration scheme
* @param pNewLinearSolver The linear solver employed
* @param pNewConvergenceCriteria The convergence criteria employed
* @param MaxIterations The maximum number of iterations
* @param CalculateReactions The flag for the reaction calculation
* @param ReformDofSetAtEachStep The flag that allows to compute the modification of the DOF
* @param MoveMeshFlag The flag that allows to move the mesh
*/
ResidualBasedNewtonRaphsonContactStrategy(
ModelPart& rModelPart,
typename TSchemeType::Pointer p_scheme,
typename TLinearSolver::Pointer pNewLinearSolver,
typename TConvergenceCriteriaType::Pointer pNewConvergenceCriteria,
typename TBuilderAndSolverType::Pointer pNewBuilderAndSolver,
IndexType MaxIterations = 30,
bool CalculateReactions = false,
bool ReformDofSetAtEachStep = false,
bool MoveMeshFlag = false,
Parameters ThisParameters = Parameters(R"({})"),
ProcessesListType pMyProcesses = nullptr,
ProcessesListType pPostProcesses = nullptr
)
: ResidualBasedNewtonRaphsonStrategy<TSparseSpace, TDenseSpace, TLinearSolver>(rModelPart, p_scheme, pNewLinearSolver, pNewConvergenceCriteria, pNewBuilderAndSolver, MaxIterations, CalculateReactions, ReformDofSetAtEachStep, MoveMeshFlag ),
mThisParameters(ThisParameters),
mpMyProcesses(pMyProcesses),
mpPostProcesses(pPostProcesses)
{
KRATOS_TRY;
mConvergenceCriteriaEchoLevel = pNewConvergenceCriteria->GetEchoLevel();
Parameters default_parameters = GetDefaultParameters();
mThisParameters.ValidateAndAssignDefaults(default_parameters);
KRATOS_CATCH("");
}
/**
* Destructor.
*/
~ResidualBasedNewtonRaphsonContactStrategy() override
= default;
//******************** OPERATIONS ACCESSIBLE FROM THE INPUT: ************************//
//***********************************************************************************//
/**
* @brief Operation to predict the solution ... if it is not called a trivial predictor is used in which the
* values of the solution step of interest are assumed equal to the old values
*/
void Predict() override
{
KRATOS_TRY
// Auxiliar zero array
const array_1d<double, 3> zero_array = ZeroVector(3);
// Set to zero the weighted gap
ModelPart& r_model_part = StrategyBaseType::GetModelPart();
NodesArrayType& nodes_array = r_model_part.GetSubModelPart("Contact").Nodes();
const bool frictional = r_model_part.Is(SLIP);
// We predict contact pressure in case of contact problem
if (nodes_array.begin()->SolutionStepsDataHas(WEIGHTED_GAP)) {
VariableUtils().SetVariable(WEIGHTED_GAP, 0.0, nodes_array);
if (frictional) {
VariableUtils().SetVariable(WEIGHTED_SLIP, zero_array, nodes_array);
}
// Compute the current gap
ContactUtilities::ComputeExplicitContributionConditions(r_model_part.GetSubModelPart("ComputingContact"));
// We predict a contact pressure
ProcessInfo& r_process_info = r_model_part.GetProcessInfo();
const std::size_t step = r_process_info[STEP];
if (step == 1) {
#pragma omp parallel for
for(int i = 0; i < static_cast<int>(nodes_array.size()); ++i) {
auto it_node = nodes_array.begin() + i;
noalias(it_node->Coordinates()) += it_node->FastGetSolutionStepValue(DISPLACEMENT);
}
} else {
#pragma omp parallel for
for(int i = 0; i < static_cast<int>(nodes_array.size()); ++i) {
auto it_node = nodes_array.begin() + i;
noalias(it_node->Coordinates()) += (it_node->FastGetSolutionStepValue(DISPLACEMENT) - it_node->FastGetSolutionStepValue(DISPLACEMENT, 1));
}
}
}
// BaseType::Predict(); // NOTE: May cause problems in dynamics!!!
//
// // Set to zero the weighted gap // NOTE: This can be done during the search if the predict is deactivated
// ModelPart& r_model_part = StrategyBaseType::GetModelPart();
// NodesArrayType& nodes_array = r_model_part.GetSubModelPart("Contact").Nodes();
//
// // We predict contact pressure in case of contact problem
// if (nodes_array.begin()->SolutionStepsDataHas(WEIGHTED_GAP)) {
// VariableUtils().SetVariable(WEIGHTED_GAP, 0.0, nodes_array);
//
// // Compute the current gap
// ContactUtilities::ComputeExplicitContributionConditions(r_model_part.GetSubModelPart("ComputingContact"));
//
// // We predict a contact pressure
// ProcessInfo& r_process_info = r_model_part.GetProcessInfo();
// const double initial_penalty_parameter = r_process_info[INITIAL_PENALTY];
//
// // We iterate over the nodes
// bool is_components = nodes_array.begin()->SolutionStepsDataHas(LAGRANGE_MULTIPLIER_CONTACT_PRESSURE) ? false : true;
//
// #pragma omp parallel for
// for(int i = 0; i < static_cast<int>(nodes_array.size()); ++i) {
// auto it_node = nodes_array.begin() + i;
//
// const double current_gap = it_node->FastGetSolutionStepValue(WEIGHTED_GAP);
//
// const double penalty = it_node->Has(INITIAL_PENALTY) ? it_node->GetValue(INITIAL_PENALTY) : initial_penalty_parameter;
//
// if (current_gap < 0.0) {
// it_node->Set(ACTIVE, true);
// if (is_components) {
// it_node->FastGetSolutionStepValue(LAGRANGE_MULTIPLIER_CONTACT_PRESSURE) = penalty * current_gap;
// } else {
// const array_1d<double, 3>& normal = it_node->FastGetSolutionStepValue(NORMAL);
// it_node->FastGetSolutionStepValue(VECTOR_LAGRANGE_MULTIPLIER) = penalty * current_gap * normal;
// }
// }
// }
// }
KRATOS_CATCH("")
}
/**
* @brief Initialization of member variables and prior operations
*/
void Initialize() override
{
KRATOS_TRY;
BaseType::Initialize();
mFinalizeWasPerformed = false;
// Initializing NL_ITERATION_NUMBER
ModelPart& r_model_part = StrategyBaseType::GetModelPart();
ProcessInfo& r_process_info = r_model_part.GetProcessInfo();
r_process_info[NL_ITERATION_NUMBER] = 1;
KRATOS_CATCH("");
}
/**
* @brief The problem of interest is solved.
* @details This function calls sequentially: Initialize(), InitializeSolutionStep(), Predict(),
* SolveSolutionStep() and FinalizeSolutionStep().
* All those functions can otherwise be called separately.
*/
double Solve() override
{
this->Initialize();
this->InitializeSolutionStep();
this->Predict();
this->SolveSolutionStep();
this->FinalizeSolutionStep();
// TODO: Add something if necessary
return 0.0;
}
/**
* @brief Performs all the required operations that should be done (for each step)
* before solving the solution step.
* @details A member variable should be used as a flag to make sure this function is called only once per step.
*/
void InitializeSolutionStep() override
{
BaseType::mpConvergenceCriteria->SetEchoLevel(0);
BaseType::InitializeSolutionStep();
BaseType::mpConvergenceCriteria->SetEchoLevel(mConvergenceCriteriaEchoLevel);
mFinalizeWasPerformed = false;
}
/**
* @brief Performs all the required operations that should be done (for each step)
* after solving the solution step.
*/
void FinalizeSolutionStep() override
{
KRATOS_TRY;
if (mFinalizeWasPerformed == false) {
BaseType::FinalizeSolutionStep();
// To avoid compute twice the FinalizeSolutionStep
mFinalizeWasPerformed = true;
}
KRATOS_CATCH("");
}
/**
* @brief Solves the current step.
* @details This function returns true if a solution has been found, false otherwise.
*/
bool SolveSolutionStep() override
{
KRATOS_TRY;
// bool is_converged = BaseType::SolveSolutionStep(); // FIXME: Requires to separate the non linear iterations
// bool is_converged = BaseSolveSolutionStep(); // Direct solution
bool is_converged = false;
// Getting model part
ModelPart& r_model_part = StrategyBaseType::GetModelPart();
if (r_model_part.IsNot(INTERACTION)) {
// We get the system
TSystemMatrixType& A = *BaseType::mpA;
TSystemVectorType& Dx = *BaseType::mpDx;
TSystemVectorType& b = *BaseType::mpb;
// We get the process info
ProcessInfo& r_process_info = r_model_part.GetProcessInfo();
int inner_iteration = 0;
while (!is_converged && inner_iteration < mThisParameters["inner_loop_iterations"].GetInt()) {
++inner_iteration;
if (mConvergenceCriteriaEchoLevel > 0 && StrategyBaseType::GetModelPart().GetCommunicator().MyPID() == 0 ) {
std::cout << std::endl << BOLDFONT("Simplified semi-smooth strategy. INNER ITERATION: ") << inner_iteration;;
}
// We solve one loop
r_process_info[NL_ITERATION_NUMBER] = 1;
r_process_info[INNER_LOOP_ITERATION] = inner_iteration;
is_converged = BaseSolveSolutionStep();
// We check the convergence
BaseType::mpConvergenceCriteria->SetEchoLevel(0);
is_converged = BaseType::mpConvergenceCriteria->PostCriteria(r_model_part, BaseType::GetBuilderAndSolver()->GetDofSet(), A, Dx, b);
BaseType::mpConvergenceCriteria->SetEchoLevel(mConvergenceCriteriaEchoLevel);
if (mConvergenceCriteriaEchoLevel > 0 && StrategyBaseType::GetModelPart().GetCommunicator().MyPID() == 0 ) {
if (is_converged) std::cout << BOLDFONT("Simplified semi-smooth strategy. INNER ITERATION: ") << BOLDFONT(FGRN("CONVERGED")) << std::endl;
else std::cout << BOLDFONT("Simplified semi-smooth strategy. INNER ITERATION: ") << BOLDFONT(FRED("NOT CONVERGED")) << std::endl;
}
}
} else {
// We compute the base loop
r_model_part.GetProcessInfo()[INNER_LOOP_ITERATION] = 1;
is_converged = BaseSolveSolutionStep();
}
if (mThisParameters["adaptative_strategy"].GetBool()) {
if (!is_converged) {
is_converged = AdaptativeStep();
}
}
return is_converged;
KRATOS_CATCH("");
}
///@}
///@name Access
///@{
///@}
///@name Inquiry
///@{
///@}
///@name Input and output
///@{
///@}
///@name Friends
///@{
protected:
///@name Protected static Member Variables
///@{
///@}
///@name Protected member Variables
///@{
Parameters mThisParameters; /// The configuration parameters
// ADAPTATIVE STRATEGY PARAMETERS
bool mFinalizeWasPerformed; /// If the FinalizeSolutionStep has been already permformed
ProcessesListType mpMyProcesses; /// The processes list
ProcessesListType mpPostProcesses; /// The post processes list
// OTHER PARAMETERS
int mConvergenceCriteriaEchoLevel; /// The echo level of the convergence criteria
///@}
///@name Protected Operators
///@{
/**
* @brief Solves the current step.
* @details This function returns true if a solution has been found, false otherwise.
*/
bool BaseSolveSolutionStep()
{
KRATOS_TRY;
// Pointers needed in the solution
ModelPart& r_model_part = StrategyBaseType::GetModelPart();
ProcessInfo& r_process_info = r_model_part.GetProcessInfo();
typename TSchemeType::Pointer p_scheme = BaseType::GetScheme();
typename TBuilderAndSolverType::Pointer p_builder_and_solver = BaseType::GetBuilderAndSolver();
auto& r_dof_set = p_builder_and_solver->GetDofSet();
TSystemMatrixType& rA = *BaseType::mpA;
TSystemVectorType& rDx = *BaseType::mpDx;
TSystemVectorType& rb = *BaseType::mpb;
// Initializing the parameters of the Newton-Raphson cicle
IndexType iteration_number = 1;
r_process_info[NL_ITERATION_NUMBER] = iteration_number;
bool is_converged = false;
bool residual_is_updated = false;
p_scheme->InitializeNonLinIteration(r_model_part, rA, rDx, rb);
BaseType::mpConvergenceCriteria->InitializeNonLinearIteration(r_model_part, r_dof_set, rA, rDx, rb);
is_converged = BaseType::mpConvergenceCriteria->PreCriteria(r_model_part, r_dof_set, rA, rDx, rb);
// We do a geometry check before solve the system for first time
if (mThisParameters["adaptative_strategy"].GetBool()) {
if (CheckGeometryInverted()) {
KRATOS_WARNING("Element inverted") << "INVERTED ELEMENT BEFORE FIRST SOLVE" << std::endl;
r_process_info[STEP] -= 1; // We revert one step in the case that the geometry is already broken before start the computing
return false;
}
}
// Function to perform the building and the solving phase.
if (StrategyBaseType::mRebuildLevel > 1 || StrategyBaseType::mStiffnessMatrixIsBuilt == false) {
TSparseSpace::SetToZero(rA);
TSparseSpace::SetToZero(rDx);
TSparseSpace::SetToZero(rb);
p_builder_and_solver->BuildAndSolve(p_scheme, r_model_part, rA, rDx, rb);
} else {
TSparseSpace::SetToZero(rDx); //Dx=0.00;
TSparseSpace::SetToZero(rb);
p_builder_and_solver->BuildRHSAndSolve(p_scheme, r_model_part, rA, rDx, rb);
}
// Debugging info
BaseType::EchoInfo(iteration_number);
// Updating the results stored in the database
UpdateDatabase(rA, rDx, rb, StrategyBaseType::MoveMeshFlag());
// We now check the geometry
if (mThisParameters["adaptative_strategy"].GetBool()) {
if (CheckGeometryInverted()) {
KRATOS_WARNING("Element inverted") << "INVERTED ELEMENT DURING DATABASE UPDATE" << std::endl;
r_process_info[STEP] -= 1; // We revert one step in the case that the geometry is already broken before start the computing
return false;
}
}
p_scheme->FinalizeNonLinIteration(r_model_part, rA, rDx, rb);
BaseType::mpConvergenceCriteria->FinalizeNonLinearIteration(r_model_part, r_dof_set, rA, rDx, rb);
if (is_converged) {
// Initialisation of the convergence criteria
BaseType::mpConvergenceCriteria->InitializeSolutionStep(r_model_part, r_dof_set, rA, rDx, rb);
if (BaseType::mpConvergenceCriteria->GetActualizeRHSflag()) {
TSparseSpace::SetToZero(rb);
p_builder_and_solver->BuildRHS(p_scheme, r_model_part, rb);
}
is_converged = BaseType::mpConvergenceCriteria->PostCriteria(r_model_part, r_dof_set, rA, rDx, rb);
}
// Iteration Cicle... performed only for NonLinearProblems
while (is_converged == false && iteration_number++<BaseType::mMaxIterationNumber) {
//setting the number of iteration
r_process_info[NL_ITERATION_NUMBER] = iteration_number;
p_scheme->InitializeNonLinIteration(r_model_part, rA, rDx, rb);
BaseType::mpConvergenceCriteria->InitializeNonLinearIteration(r_model_part, r_dof_set, rA, rDx, rb);
is_converged = BaseType::mpConvergenceCriteria->PreCriteria(r_model_part, r_dof_set, rA, rDx, rb);
//call the linear system solver to find the correction mDx for the
//it is not called if there is no system to solve
if (SparseSpaceType::Size(rDx) != 0) {
if (StrategyBaseType::mRebuildLevel > 1 || StrategyBaseType::mStiffnessMatrixIsBuilt == false ) {
if( BaseType::GetKeepSystemConstantDuringIterations() == false) {
//A = 0.00;
TSparseSpace::SetToZero(rA);
TSparseSpace::SetToZero(rDx);
TSparseSpace::SetToZero(rb);
p_builder_and_solver->BuildAndSolve(p_scheme, r_model_part, rA, rDx, rb);
}
else {
TSparseSpace::SetToZero(rDx);
TSparseSpace::SetToZero(rb);
p_builder_and_solver->BuildRHSAndSolve(p_scheme, r_model_part, rA, rDx, rb);
}
}
else {
TSparseSpace::SetToZero(rDx);
TSparseSpace::SetToZero(rb);
p_builder_and_solver->BuildRHSAndSolve(p_scheme, r_model_part, rA, rDx, rb);
}
} else {
KRATOS_WARNING("No DoFs") << "ATTENTION: no free DOFs!! " << std::endl;
}
// Debugging info
BaseType::EchoInfo(iteration_number);
// Updating the results stored in the database
UpdateDatabase(rA, rDx, rb, StrategyBaseType::MoveMeshFlag());
// We now check the geometry
if (mThisParameters["adaptative_strategy"].GetBool()) {
if (CheckGeometryInverted()) {
KRATOS_WARNING("Element inverted") << "INVERTED ELEMENT DURING DATABASE UPDATE" << std::endl;
r_process_info[STEP] -= 1; // We revert one step in the case that the geometry is already broken before start the computing
return false;
}
}
p_scheme->FinalizeNonLinIteration(r_model_part, rA, rDx, rb);
BaseType::mpConvergenceCriteria->FinalizeNonLinearIteration(r_model_part, r_dof_set, rA, rDx, rb);
residual_is_updated = false;
if (is_converged) {
if (BaseType::mpConvergenceCriteria->GetActualizeRHSflag()) {
TSparseSpace::SetToZero(rb);
p_builder_and_solver->BuildRHS(p_scheme, r_model_part, rb);
residual_is_updated = true;
//std::cout << "mb is calculated" << std::endl;
}
is_converged = BaseType::mpConvergenceCriteria->PostCriteria(r_model_part, r_dof_set, rA, rDx, rb);
}
}
// Plots a warning if the maximum number of iterations is exceeded
if (iteration_number >= BaseType::mMaxIterationNumber && r_model_part.GetCommunicator().MyPID() == 0)
MaxIterationsExceeded();
// Recalculate residual if needed
// (note that some convergence criteria need it to be recalculated)
if (residual_is_updated == false) {
// NOTE:
// The following part will be commented because it is time consuming
// and there is no obvious reason to be here. If someone need this
// part please notify the community via mailing list before uncommenting it.
// Pooyan.
// TSparseSpace::SetToZero(mb);
// p_builder_and_solver->BuildRHS(p_scheme, r_model_part, mb);
}
// Calculate reactions if required
if (BaseType::mCalculateReactionsFlag)
p_builder_and_solver->CalculateReactions(p_scheme, r_model_part, rA, rDx, rb);
return is_converged;
KRATOS_CATCH("");
}
/**
* @brief This method performs the adaptative step
*/
bool AdaptativeStep()
{
KRATOS_TRY;
bool is_converged = false;
// Plots a warning if the maximum number of iterations is exceeded
if (mpMyProcesses == nullptr && StrategyBaseType::mEchoLevel > 0)
KRATOS_WARNING("No python processes") << "If you have not implemented any method to recalculate BC or loads in function of time, this strategy will be USELESS" << std::endl;
if (mpPostProcesses == nullptr && StrategyBaseType::mEchoLevel > 0)
KRATOS_WARNING("No python post processes") << "If you don't add the postprocesses and the time step if splitted you won't postprocess that steps" << std::endl;
ModelPart& r_model_part = StrategyBaseType::GetModelPart();
ProcessInfo& r_process_info = r_model_part.GetProcessInfo();
const double original_delta_time = r_process_info[DELTA_TIME]; // We save the delta time to restore later
int split_number = 0;
// We iterate until we reach the convergence or we split more than desired
while (is_converged == false && split_number <= mThisParameters["max_number_splits"].GetInt()) {
// Expliting time step as a way to try improve the convergence
split_number += 1;
double aux_delta_time, current_time;
const double aux_time = SplitTimeStep(aux_delta_time, current_time);
current_time += aux_delta_time;
bool inside_the_split_is_converged = false;
IndexType inner_iteration = 0;
while (current_time <= aux_time) {
inner_iteration += 1;
r_process_info[STEP] += 1;
if (inner_iteration == 1) {
if (StrategyBaseType::MoveMeshFlag())
UnMoveMesh();
NodesArrayType& nodes_array = r_model_part.Nodes();
#pragma omp parallel for
for(int i = 0; i < static_cast<int>(nodes_array.size()); ++i) {
auto it_node = nodes_array.begin() + i;
it_node->OverwriteSolutionStepData(1, 0);
// it_node->OverwriteSolutionStepData(2, 1);
}
r_process_info.SetCurrentTime(current_time); // Reduces the time step
FinalizeSolutionStep();
} else {
NodesArrayType& nodes_array = r_model_part.Nodes();
#pragma omp parallel for
for(int i = 0; i < static_cast<int>(nodes_array.size()); ++i)
(nodes_array.begin() + i)->CloneSolutionStepData();
r_process_info.CloneSolutionStepInfo();
r_process_info.ClearHistory(r_model_part.GetBufferSize());
r_process_info.SetAsTimeStepInfo(current_time); // Sets the new time step
}
// We execute the processes before the non-linear iteration
if (mpMyProcesses != nullptr)
mpMyProcesses->ExecuteInitializeSolutionStep();
if (mpPostProcesses != nullptr)
mpPostProcesses->ExecuteInitializeSolutionStep();
// In order to initialize again everything
BaseType::mInitializeWasPerformed = false;
mFinalizeWasPerformed = false;
// We repeat the solve with the new DELTA_TIME
this->Initialize();
this->InitializeSolutionStep();
this->Predict();
inside_the_split_is_converged = BaseType::SolveSolutionStep();
this->FinalizeSolutionStep();
// We execute the processes after the non-linear iteration
if (mpMyProcesses != nullptr)
mpMyProcesses->ExecuteFinalizeSolutionStep();
if (mpPostProcesses != nullptr)
mpPostProcesses->ExecuteFinalizeSolutionStep();
if (mpMyProcesses != nullptr)
mpMyProcesses->ExecuteBeforeOutputStep();
if (mpPostProcesses != nullptr)
mpPostProcesses->PrintOutput();
if (mpMyProcesses != nullptr)
mpMyProcesses->ExecuteAfterOutputStep();
current_time += aux_delta_time;
}
if (inside_the_split_is_converged)
is_converged = true;
}
// Plots a warning if the maximum number of iterations and splits are exceeded
if (is_converged == false)
MaxIterationsAndSplitsExceeded();
// Restoring original DELTA_TIME
r_process_info[DELTA_TIME] = original_delta_time;
return is_converged;
KRATOS_CATCH("");
}
/**
* @brief Here the database is updated
* @param A The LHS matrix
* @param Dx The increment of solution after solving system
* @param b The RHS vector
* @param MoveMesh The flag that tells if the mesh should be moved
*/
void UpdateDatabase(
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b,
const bool MoveMesh
) override
{
BaseType::UpdateDatabase(A,Dx,b,MoveMesh);
// TODO: Add something if necessary
}
/**
* @brief his method checks if there is no element inverted
*/
bool CheckGeometryInverted()
{
ModelPart& r_model_part = StrategyBaseType::GetModelPart();
ProcessInfo& r_process_info = r_model_part.GetProcessInfo();
bool inverted_element = false;
ElementsArrayType& elements_array = r_model_part.Elements();
// NOT OMP
for(int i = 0; i < static_cast<int>(elements_array.size()); ++i) {
auto it_elem = elements_array.begin() + i;
auto& geom = it_elem->GetGeometry();
if (geom.DeterminantOfJacobian(0) < 0.0) {
if (mConvergenceCriteriaEchoLevel > 0) {
KRATOS_WATCH(it_elem->Id())
KRATOS_WATCH(geom.DeterminantOfJacobian(0))
}
return true;
}
// We check now the deformation gradient
std::vector<Matrix> deformation_gradient_matrices;
it_elem->GetValueOnIntegrationPoints( DEFORMATION_GRADIENT, deformation_gradient_matrices, r_process_info);
for (IndexType i_gp = 0; i_gp < deformation_gradient_matrices.size(); ++i_gp) {
const double det_f = MathUtils<double>::DetMat(deformation_gradient_matrices[i_gp]);
if (det_f < 0.0) {
if (mConvergenceCriteriaEchoLevel > 0) {
KRATOS_WATCH(it_elem->Id())
KRATOS_WATCH(det_f)
}
return true;
}
}
}
return inverted_element;
}
/**
* @brief Here the time step is splitted
* @param AuxDeltaTime The new delta time to be considered
* @param CurrentTime The current time
* @return The destination time
*/
double SplitTimeStep(
double& AuxDeltaTime,
double& CurrentTime
)
{
KRATOS_TRY;
const double aux_time = StrategyBaseType::GetModelPart().GetProcessInfo()[TIME];
AuxDeltaTime = StrategyBaseType::GetModelPart().GetProcessInfo()[DELTA_TIME];
CurrentTime = aux_time - AuxDeltaTime;
StrategyBaseType::GetModelPart().GetProcessInfo()[TIME] = CurrentTime; // Restore time to the previous one
AuxDeltaTime /= mThisParameters["split_factor"].GetDouble();
StrategyBaseType::GetModelPart().GetProcessInfo()[DELTA_TIME] = AuxDeltaTime; // Change delta time
CoutSplittingTime(AuxDeltaTime, aux_time);
return aux_time;
KRATOS_CATCH("");
}
/**
* This method moves bak the mesh to the previous position
*/
void UnMoveMesh()
{
KRATOS_TRY;
if (StrategyBaseType::GetModelPart().NodesBegin()->SolutionStepsDataHas(DISPLACEMENT_X) == false)
KRATOS_ERROR << "It is impossible to move the mesh since the DISPLACEMENT var is not in the model_part. Either use SetMoveMeshFlag(False) or add DISPLACEMENT to the list of variables" << std::endl;
NodesArrayType& nodes_array = StrategyBaseType::GetModelPart().Nodes();
#pragma omp parallel for
for(int i = 0; i < static_cast<int>(nodes_array.size()); ++i) {
auto it_node = nodes_array.begin() + i;
noalias(it_node->Coordinates()) = it_node->GetInitialPosition().Coordinates();
noalias(it_node->Coordinates()) += it_node->FastGetSolutionStepValue(DISPLACEMENT, 1);
}
KRATOS_CATCH("");
}
/**
* @brief This method returns the defaulr parameters in order to avoid code duplication
* @return Returns the default parameters
*/
Parameters GetDefaultParameters()
{
Parameters default_parameters = Parameters(R"(
{
"adaptative_strategy" : false,
"split_factor" : 10.0,
"max_number_splits" : 3,
"inner_loop_iterations" : 5
})" );
return default_parameters;
}
/**
* @brief This method prints information after solving the problem
*/
void CoutSolvingProblem()
{
if (mConvergenceCriteriaEchoLevel != 0) {
std::cout << "STEP: " << StrategyBaseType::GetModelPart().GetProcessInfo()[STEP] << "\t NON LINEAR ITERATION: " << StrategyBaseType::GetModelPart().GetProcessInfo()[NL_ITERATION_NUMBER] << "\t TIME: " << StrategyBaseType::GetModelPart().GetProcessInfo()[TIME] << "\t DELTA TIME: " << StrategyBaseType::GetModelPart().GetProcessInfo()[DELTA_TIME] << std::endl;
}
}
/**
* @brief This method prints information after split the increment of time
* @param AuxDeltaTime The new time step to be considered
* @param AuxTime The destination time
*/
void CoutSplittingTime(
const double AuxDeltaTime,
const double AuxTime
)
{
if (mConvergenceCriteriaEchoLevel > 0 && StrategyBaseType::GetModelPart().GetCommunicator().MyPID() == 0 ) {
const double Time = StrategyBaseType::GetModelPart().GetProcessInfo()[TIME];
std::cout.precision(4);
std::cout << "|----------------------------------------------------|" << std::endl;
std::cout << "| " << BOLDFONT("SPLITTING TIME STEP") << " |" << std::endl;
std::cout << "| " << BOLDFONT("COMING BACK TO TIME: ") << std::scientific << Time << " |" << std::endl;
std::cout << "| " << BOLDFONT(" NEW TIME STEP: ") << std::scientific << AuxDeltaTime << " |" << std::endl;
std::cout << "| " << BOLDFONT(" UNTIL TIME: ") << std::scientific << AuxTime << " |" << std::endl;
std::cout << "|----------------------------------------------------|" << std::endl;
}
}
/**
* @brief This method prints information after reach the max number of interations
*/
void MaxIterationsExceeded() override
{
if (mConvergenceCriteriaEchoLevel > 0 && StrategyBaseType::GetModelPart().GetCommunicator().MyPID() == 0 ) {
std::cout << "|----------------------------------------------------|" << std::endl;
std::cout << "| " << BOLDFONT(FRED("ATTENTION: Max iterations exceeded")) << " |" << std::endl;
std::cout << "|----------------------------------------------------|" << std::endl;
}
}
/**
* @brief This method prints information after reach the max number of interations and splits
*/
void MaxIterationsAndSplitsExceeded()
{
if (mConvergenceCriteriaEchoLevel > 0 && StrategyBaseType::GetModelPart().GetCommunicator().MyPID() == 0 ) {
std::cout << "|----------------------------------------------------|" << std::endl;
std::cout << "| " << BOLDFONT(FRED("ATTENTION: Max iterations exceeded")) << " |" << std::endl;
std::cout << "| " << BOLDFONT(FRED(" Max number of splits exceeded ")) << " |" << std::endl;
std::cout << "|----------------------------------------------------|" << std::endl;
}
}
///@}
///@name Protected Operations
///@{
///@}
///@name Protected Access
///@{
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
///@{
/**
* Copy constructor.
*/
ResidualBasedNewtonRaphsonContactStrategy(const ResidualBasedNewtonRaphsonContactStrategy& Other)
{
};
private:
///@name Static Member Variables
///@{
///@}
///@name Member Variables
///@{
///@}
///@name Private Operators
///@{
///@}
///@name Private Operations
///@{
///@}
///@name Private Access
///@{
///@}
///@}
///@name Serialization
///@{
///@name Private Inquiry
///@{
///@}
///@name Un accessible methods
///@{
///@}
}; /* Class ResidualBasedNewtonRaphsonContactStrategy */
///@}
///@name Type Definitions
///@{
///@}
///@name Input and output
///@{
///@}
} // namespace Kratos
#endif /* KRATOS_RESIDUALBASED_NEWTON_RAPHSON_CONTACT_STRATEGY */
|
squareddifference_ref.c | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* License); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*
* Copyright (c) 2021, OPEN AI LAB
* Author: qtang@openailab.com
*/
#include "graph/tensor.h"
#include "graph/node.h"
#include "graph/graph.h"
#include "utility/sys_port.h"
#include "utility/float.h"
#include "utility/log.h"
#include "device/cpu/cpu_node.h"
#include "device/cpu/cpu_graph.h"
#include "device/cpu/cpu_module.h"
#include <math.h>
int ref_squareddifference_fp32(struct tensor* input_tensor_0, struct tensor* input_tensor_1,
struct tensor* output_tensor, int num_thread)
{
// dims size = 2 or 3
if (input_tensor_0->dim_num < 4)
{
float* input0 = (float*)input_tensor_0->data;
float* input1 = (float*)input_tensor_1->data;
float* output = (float*)output_tensor->data;
int total_size = output_tensor->elem_num;
for (int i = 0; i < total_size; i++)
{
output[i] = powf((input0[i] - input1[i]), 2);
}
return 0;
}
// dims size 3
else if (output_tensor->dim_num == 4)
{
int w = output_tensor->dims[3];
int h = output_tensor->dims[2];
int channels = output_tensor->dims[1];
int size = h * w;
int c_step = h * w;
float* input0 = (float*)input_tensor_0->data;
float* input1 = (float*)input_tensor_1->data;
float* output = (float*)output_tensor->data;
#pragma omp parallel for num_threads(num_thread)
for (int q = 0; q < channels; q++)
{
float* src0 = input0 + c_step * q;
float* src1 = input1 + c_step * q;
float* dst = output + c_step * q;
for (int i = 0; i < size; i++)
{
dst[i] = powf((src0[i] - src1[i]), 2);
}
}
return 0;
}
return -1;
}
int ref_squareddifference_uint8(struct tensor* input_tensor_0, struct tensor* input_tensor_1,
struct tensor* output_tensor, int num_thread)
{
/* dequant */
uint8_t* input0_uint8 = (uint8_t*)input_tensor_0->data;
uint8_t* input1_uint8 = (uint8_t*)input_tensor_1->data;
uint8_t* output_uint8 = (uint8_t*)output_tensor->data;
float input0_scale = input_tensor_0->scale;
float input1_scale = input_tensor_1->scale;
float output_scale = output_tensor->scale;
int32_t input0_zero = input_tensor_0->zero_point;
int32_t input1_zero = input_tensor_1->zero_point;
int32_t output_zero = output_tensor->zero_point;
int input0_size = input_tensor_0->elem_num;
int input1_size = input_tensor_1->elem_num;
int output_size = output_tensor->elem_num;
float* input0 = ( float* )sys_malloc(input0_size * sizeof(float));
float* input1 = ( float* )sys_malloc(input1_size * sizeof(float));
float* output = ( float* )sys_malloc(output_size * sizeof(float));
for (int i = 0; i < input0_size; i++)
{
input0[i] = (( float )input0_uint8[i] - ( float )input0_zero) * input0_scale;
}
for (int i = 0; i < input1_size; i++)
{
input1[i] = (( float )input1_uint8[i] - ( float )input1_zero) * input1_scale;
}
// dims size = 2 or 3
if (input_tensor_0->dim_num < 4)
{
int total_size = output_tensor->elem_num;
for (int i = 0; i < total_size; i++)
{
output[i] = powf((input0[i] - input1[i]), 2);
}
return 0;
}
// dims size 3
else if (output_tensor->dim_num == 4)
{
int w = output_tensor->dims[3];
int h = output_tensor->dims[2];
int channels = output_tensor->dims[1];
int size = h * w;
int c_step = h * w;
#pragma omp parallel for num_threads(num_thread)
for (int q = 0; q < channels; q++)
{
float* src0 = input0 + c_step * q;
float* src1 = input1 + c_step * q;
float* dst = output + c_step * q;
for (int i = 0; i < size; i++)
{
dst[i] = powf((src0[i] - src1[i]), 2);
}
}
return 0;
}
/* quant */
for (int i = 0; i < output_size; i++)
{
int udata = round(output[i] / output_scale + output_zero);
if (udata > 255)
udata = 255;
else if (udata < 0)
udata = 0;
output_uint8[i] = udata;
}
sys_free(input0);
sys_free(input1);
sys_free(output);
return -1;
}
static int init_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
return 0;
}
static int release_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
return 0;
}
static int prerun(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
return 0;
}
static int run(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
struct node* ir_node = exec_node->ir_node;
struct graph* ir_graph = ir_node->graph;
struct tensor* input_tensor_0;
struct tensor* input_tensor_1;
struct tensor* output_tensor;
int layout = ir_graph->graph_layout;
input_tensor_0 = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[0]);
input_tensor_1 = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[1]);
output_tensor = get_ir_graph_tensor(ir_graph, ir_node->output_tensors[0]);
int ret = -1;
if (input_tensor_0->data_type == TENGINE_DT_FP32)
ret = ref_squareddifference_fp32(input_tensor_0, input_tensor_1, output_tensor, exec_graph->num_thread);
else if(input_tensor_0->data_type == TENGINE_DT_UINT8)
ret = ref_squareddifference_uint8(input_tensor_0, input_tensor_1, output_tensor, exec_graph->num_thread);
return ret;
}
static int score(struct node_ops* node_ops, struct exec_graph* exec_graph, struct node* exec_node)
{
return OPS_SCORE_CANDO;
}
static struct node_ops hcl_node_ops = {.prerun = prerun,
.run = run,
.reshape = NULL,
.postrun = NULL,
.init_node = init_node,
.release_node = release_node,
.score = score};
int register_squareddifference_ref_op()
{
return register_builtin_node_ops(OP_SQUAREDDIFFERENCE, &hcl_node_ops);
}
int unregister_squareddifference_ref_op()
{
return unregister_builtin_node_ops(OP_SQUAREDDIFFERENCE, &hcl_node_ops);
}
|
GB_binop__pair_fc64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__pair_fc64)
// A.*B function (eWiseMult): GB ((none))
// A.*B function (eWiseMult): GB ((none))
// A.*B function (eWiseMult): GB ((none))
// A.*B function (eWiseMult): GB ((none))
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__pair_fc64)
// C+=b function (dense accum): GB (_Cdense_accumb__pair_fc64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__pair_fc64)
// C=scalar+B GB ((none))
// C=scalar+B' GB ((none))
// C=A+scalar GB ((none))
// C=A'+scalar GB ((none))
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// B,b type: GxB_FC64_t
// BinaryOp: cij = GxB_CMPLX(1,0)
#define GB_ATYPE \
GxB_FC64_t
#define GB_BTYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
;
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
;
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
GxB_FC64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GxB_CMPLX(1,0) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_PAIR || GxB_NO_FC64 || GxB_NO_PAIR_FC64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__pair_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__pair_fc64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__pair_fc64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type GxB_FC64_t
GxB_FC64_t bwork = (*((GxB_FC64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__pair_fc64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t x = (*((GxB_FC64_t *) x_input)) ;
GxB_FC64_t *Bx = (GxB_FC64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
; ;
Cx [p] = GxB_CMPLX(1,0) ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t *Ax = (GxB_FC64_t *) Ax_input ;
GxB_FC64_t y = (*((GxB_FC64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
; ;
Cx [p] = GxB_CMPLX(1,0) ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = GxB_CMPLX(1,0) ; \
}
GrB_Info GB ((none))
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t x = (*((const GxB_FC64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
}
#endif
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = GxB_CMPLX(1,0) ; \
}
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t y = (*((const GxB_FC64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
#endif
|
racey_tasks.c | //
// This is a very simple program to play with tasks.
//
// the idea is to print one of two strings
//
// I think race cars are fun.
// I think car races are fun
//
// This is a race condition since depending on how the
// threads are scheduled, you will get a different answer.
// We aren't writing any variables. Hence this is not
// a data race and the program is legal.
//
#include <stdio.h>
#include <omp.h>
int main()
{
printf("I think");
#pragma omp parallel
{
#pragma omp single
{
#pragma omp task
printf(" car");
#pragma omp task
printf(" race");
}
}
printf("s");
printf(" are fun!\n");
}
|
mbs_extforces_walkman_robotran.c | //
//-------------------------------------------------------------
//
// ROBOTRAN - Version 6.6 (build : february 22, 2008)
//
// Copyright
// Universite catholique de Louvain
// Departement de Mecanique
// Unite de Production Mecanique et Machines
// 2, Place du Levant
// 1348 Louvain-la-Neuve
// http://www.robotran.be//
//
// ==> Generation Date : Thu Oct 29 11:32:57 2015
//
// ==> Project name : walkman_robotran
// ==> using XML input file
//
// ==> Number of joints : 55
//
// ==> Function : F19 : External Forces
// ==> Flops complexity : 1722
//
// ==> Generation Time : 0.050 seconds
// ==> Post-Processing : 0.040 seconds
//
//-------------------------------------------------------------
//
#include <math.h>
#include "MBSdataStructR7.h"
#include "MBSfunR7.h"
//#define PARALLEL_OPENMP_2
#ifdef PARALLEL_OPENMP_2
#include <omp.h>
#endif
#define q s->q
#define qd s->qd
#define qdd s->qdd
void extforce_1(double **frc,double **trq,
MBSdataStruct *s, double tsim){
double PxF1[4];
double RxF1[4][4];
double VxF1[4];
double OMxF1[4];
double AxF1[4];
double OMPxF1[4];
double *SWr1;
#include "ext_force_1.h"
// ===== BEGIN task 0 =====
// Sensor Kinematics
// = = Block_0_0_0_0_0_1 = =
// Trigonometric Variables
C4 = cos(q[4]);
S4 = sin(q[4]);
C5 = cos(q[5]);
S5 = sin(q[5]);
C6 = cos(q[6]);
S6 = sin(q[6]);
// = = Block_0_0_0_0_0_2 = =
// Trigonometric Variables
C7 = cos(q[7]);
S7 = sin(q[7]);
C8 = cos(q[8]);
S8 = sin(q[8]);
C9 = cos(q[9]);
S9 = sin(q[9]);
C10 = cos(q[10]);
S10 = sin(q[10]);
C11 = cos(q[11]);
S11 = sin(q[11]);
C12 = cos(q[12]);
S12 = sin(q[12]);
C13 = cos(q[13]);
S13 = sin(q[13]);
C14 = cos(q[14]);
S14 = sin(q[14]);
C15 = cos(q[15]);
S15 = sin(q[15]);
// = = Block_0_0_1_1_0_1 = =
// Sensor Kinematics
ROcp22_25 = S4*S5;
ROcp22_35 = -C4*S5;
ROcp22_85 = -S4*C5;
ROcp22_95 = C4*C5;
ROcp22_16 = C5*C6;
ROcp22_26 = ROcp22_25*C6+C4*S6;
ROcp22_36 = ROcp22_35*C6+S4*S6;
ROcp22_46 = -C5*S6;
ROcp22_56 = -(ROcp22_25*S6-C4*C6);
ROcp22_66 = -(ROcp22_35*S6-S4*C6);
OMcp22_25 = qd[5]*C4;
OMcp22_35 = qd[5]*S4;
OMcp22_16 = qd[4]+qd[6]*S5;
OMcp22_26 = OMcp22_25+qd[6]*ROcp22_85;
OMcp22_36 = OMcp22_35+qd[6]*ROcp22_95;
OPcp22_16 = qdd[4]+qd[5]*qd[6]*C5+qdd[6]*S5;
OPcp22_26 = -(qd[4]*qd[5]*S4+qd[6]*(qd[4]*ROcp22_95-OMcp22_35*S5)-qdd[5]*C4-qdd[6]*ROcp22_85);
OPcp22_36 = qd[4]*qd[5]*C4+qd[6]*(qd[4]*ROcp22_85-OMcp22_25*S5)+qdd[5]*S4+qdd[6]*ROcp22_95;
// = = Block_0_0_1_1_0_2 = =
// Sensor Kinematics
ROcp22_47 = ROcp22_46*C7+S5*S7;
ROcp22_57 = ROcp22_56*C7+ROcp22_85*S7;
ROcp22_67 = ROcp22_66*C7+ROcp22_95*S7;
ROcp22_77 = -(ROcp22_46*S7-S5*C7);
ROcp22_87 = -(ROcp22_56*S7-ROcp22_85*C7);
ROcp22_97 = -(ROcp22_66*S7-ROcp22_95*C7);
ROcp22_18 = ROcp22_16*C8+ROcp22_47*S8;
ROcp22_28 = ROcp22_26*C8+ROcp22_57*S8;
ROcp22_38 = ROcp22_36*C8+ROcp22_67*S8;
ROcp22_48 = -(ROcp22_16*S8-ROcp22_47*C8);
ROcp22_58 = -(ROcp22_26*S8-ROcp22_57*C8);
ROcp22_68 = -(ROcp22_36*S8-ROcp22_67*C8);
ROcp22_19 = ROcp22_18*C9-ROcp22_77*S9;
ROcp22_29 = ROcp22_28*C9-ROcp22_87*S9;
ROcp22_39 = ROcp22_38*C9-ROcp22_97*S9;
ROcp22_79 = ROcp22_18*S9+ROcp22_77*C9;
ROcp22_89 = ROcp22_28*S9+ROcp22_87*C9;
ROcp22_99 = ROcp22_38*S9+ROcp22_97*C9;
ROcp22_110 = ROcp22_19*C10-ROcp22_79*S10;
ROcp22_210 = ROcp22_29*C10-ROcp22_89*S10;
ROcp22_310 = ROcp22_39*C10-ROcp22_99*S10;
ROcp22_710 = ROcp22_19*S10+ROcp22_79*C10;
ROcp22_810 = ROcp22_29*S10+ROcp22_89*C10;
ROcp22_910 = ROcp22_39*S10+ROcp22_99*C10;
ROcp22_111 = ROcp22_110*C11-ROcp22_710*S11;
ROcp22_211 = ROcp22_210*C11-ROcp22_810*S11;
ROcp22_311 = ROcp22_310*C11-ROcp22_910*S11;
ROcp22_711 = ROcp22_110*S11+ROcp22_710*C11;
ROcp22_811 = ROcp22_210*S11+ROcp22_810*C11;
ROcp22_911 = ROcp22_310*S11+ROcp22_910*C11;
ROcp22_412 = ROcp22_48*C12+ROcp22_711*S12;
ROcp22_512 = ROcp22_58*C12+ROcp22_811*S12;
ROcp22_612 = ROcp22_68*C12+ROcp22_911*S12;
ROcp22_712 = -(ROcp22_48*S12-ROcp22_711*C12);
ROcp22_812 = -(ROcp22_58*S12-ROcp22_811*C12);
ROcp22_912 = -(ROcp22_68*S12-ROcp22_911*C12);
ROcp22_113 = ROcp22_111*C13+ROcp22_412*S13;
ROcp22_213 = ROcp22_211*C13+ROcp22_512*S13;
ROcp22_313 = ROcp22_311*C13+ROcp22_612*S13;
ROcp22_413 = -(ROcp22_111*S13-ROcp22_412*C13);
ROcp22_513 = -(ROcp22_211*S13-ROcp22_512*C13);
ROcp22_613 = -(ROcp22_311*S13-ROcp22_612*C13);
ROcp22_114 = ROcp22_113*C14-ROcp22_712*S14;
ROcp22_214 = ROcp22_213*C14-ROcp22_812*S14;
ROcp22_314 = ROcp22_313*C14-ROcp22_912*S14;
ROcp22_714 = ROcp22_113*S14+ROcp22_712*C14;
ROcp22_814 = ROcp22_213*S14+ROcp22_812*C14;
ROcp22_914 = ROcp22_313*S14+ROcp22_912*C14;
ROcp22_415 = ROcp22_413*C15+ROcp22_714*S15;
ROcp22_515 = ROcp22_513*C15+ROcp22_814*S15;
ROcp22_615 = ROcp22_613*C15+ROcp22_914*S15;
ROcp22_715 = -(ROcp22_413*S15-ROcp22_714*C15);
ROcp22_815 = -(ROcp22_513*S15-ROcp22_814*C15);
ROcp22_915 = -(ROcp22_613*S15-ROcp22_914*C15);
RLcp22_17 = ROcp22_16*s->dpt[1][1]+ROcp22_46*s->dpt[2][1];
RLcp22_27 = ROcp22_26*s->dpt[1][1]+ROcp22_56*s->dpt[2][1];
RLcp22_37 = ROcp22_36*s->dpt[1][1]+ROcp22_66*s->dpt[2][1];
OMcp22_17 = OMcp22_16+qd[7]*ROcp22_16;
OMcp22_27 = OMcp22_26+qd[7]*ROcp22_26;
OMcp22_37 = OMcp22_36+qd[7]*ROcp22_36;
ORcp22_17 = OMcp22_26*RLcp22_37-OMcp22_36*RLcp22_27;
ORcp22_27 = -(OMcp22_16*RLcp22_37-OMcp22_36*RLcp22_17);
ORcp22_37 = OMcp22_16*RLcp22_27-OMcp22_26*RLcp22_17;
OPcp22_17 = OPcp22_16+qd[7]*(OMcp22_26*ROcp22_36-OMcp22_36*ROcp22_26)+qdd[7]*ROcp22_16;
OPcp22_27 = OPcp22_26-qd[7]*(OMcp22_16*ROcp22_36-OMcp22_36*ROcp22_16)+qdd[7]*ROcp22_26;
OPcp22_37 = OPcp22_36+qd[7]*(OMcp22_16*ROcp22_26-OMcp22_26*ROcp22_16)+qdd[7]*ROcp22_36;
RLcp22_18 = ROcp22_16*s->dpt[1][5]+ROcp22_47*s->dpt[2][5]+ROcp22_77*s->dpt[3][5];
RLcp22_28 = ROcp22_26*s->dpt[1][5]+ROcp22_57*s->dpt[2][5]+ROcp22_87*s->dpt[3][5];
RLcp22_38 = ROcp22_36*s->dpt[1][5]+ROcp22_67*s->dpt[2][5]+ROcp22_97*s->dpt[3][5];
OMcp22_18 = OMcp22_17+qd[8]*ROcp22_77;
OMcp22_28 = OMcp22_27+qd[8]*ROcp22_87;
OMcp22_38 = OMcp22_37+qd[8]*ROcp22_97;
ORcp22_18 = OMcp22_27*RLcp22_38-OMcp22_37*RLcp22_28;
ORcp22_28 = -(OMcp22_17*RLcp22_38-OMcp22_37*RLcp22_18);
ORcp22_38 = OMcp22_17*RLcp22_28-OMcp22_27*RLcp22_18;
OMcp22_19 = OMcp22_18+qd[9]*ROcp22_48;
OMcp22_29 = OMcp22_28+qd[9]*ROcp22_58;
OMcp22_39 = OMcp22_38+qd[9]*ROcp22_68;
OPcp22_19 = OPcp22_17+qd[8]*(OMcp22_27*ROcp22_97-OMcp22_37*ROcp22_87)+qd[9]*(OMcp22_28*ROcp22_68-OMcp22_38*ROcp22_58)+
qdd[8]*ROcp22_77+qdd[9]*ROcp22_48;
OPcp22_29 = OPcp22_27-qd[8]*(OMcp22_17*ROcp22_97-OMcp22_37*ROcp22_77)-qd[9]*(OMcp22_18*ROcp22_68-OMcp22_38*ROcp22_48)+
qdd[8]*ROcp22_87+qdd[9]*ROcp22_58;
OPcp22_39 = OPcp22_37+qd[8]*(OMcp22_17*ROcp22_87-OMcp22_27*ROcp22_77)+qd[9]*(OMcp22_18*ROcp22_58-OMcp22_28*ROcp22_48)+
qdd[8]*ROcp22_97+qdd[9]*ROcp22_68;
RLcp22_110 = ROcp22_79*s->dpt[3][7];
RLcp22_210 = ROcp22_89*s->dpt[3][7];
RLcp22_310 = ROcp22_99*s->dpt[3][7];
OMcp22_110 = OMcp22_19+qd[10]*ROcp22_48;
OMcp22_210 = OMcp22_29+qd[10]*ROcp22_58;
OMcp22_310 = OMcp22_39+qd[10]*ROcp22_68;
ORcp22_110 = OMcp22_29*RLcp22_310-OMcp22_39*RLcp22_210;
ORcp22_210 = -(OMcp22_19*RLcp22_310-OMcp22_39*RLcp22_110);
ORcp22_310 = OMcp22_19*RLcp22_210-OMcp22_29*RLcp22_110;
OPcp22_110 = OPcp22_19+qd[10]*(OMcp22_29*ROcp22_68-OMcp22_39*ROcp22_58)+qdd[10]*ROcp22_48;
OPcp22_210 = OPcp22_29-qd[10]*(OMcp22_19*ROcp22_68-OMcp22_39*ROcp22_48)+qdd[10]*ROcp22_58;
OPcp22_310 = OPcp22_39+qd[10]*(OMcp22_19*ROcp22_58-OMcp22_29*ROcp22_48)+qdd[10]*ROcp22_68;
RLcp22_111 = ROcp22_710*s->dpt[3][8];
RLcp22_211 = ROcp22_810*s->dpt[3][8];
RLcp22_311 = ROcp22_910*s->dpt[3][8];
OMcp22_111 = OMcp22_110+qd[11]*ROcp22_48;
OMcp22_211 = OMcp22_210+qd[11]*ROcp22_58;
OMcp22_311 = OMcp22_310+qd[11]*ROcp22_68;
ORcp22_111 = OMcp22_210*RLcp22_311-OMcp22_310*RLcp22_211;
ORcp22_211 = -(OMcp22_110*RLcp22_311-OMcp22_310*RLcp22_111);
ORcp22_311 = OMcp22_110*RLcp22_211-OMcp22_210*RLcp22_111;
OMcp22_112 = OMcp22_111+qd[12]*ROcp22_111;
OMcp22_212 = OMcp22_211+qd[12]*ROcp22_211;
OMcp22_312 = OMcp22_311+qd[12]*ROcp22_311;
OPcp22_112 = OPcp22_110+qd[11]*(OMcp22_210*ROcp22_68-OMcp22_310*ROcp22_58)+qd[12]*(OMcp22_211*ROcp22_311-OMcp22_311*
ROcp22_211)+qdd[11]*ROcp22_48+qdd[12]*ROcp22_111;
OPcp22_212 = OPcp22_210-qd[11]*(OMcp22_110*ROcp22_68-OMcp22_310*ROcp22_48)-qd[12]*(OMcp22_111*ROcp22_311-OMcp22_311*
ROcp22_111)+qdd[11]*ROcp22_58+qdd[12]*ROcp22_211;
OPcp22_312 = OPcp22_310+qd[11]*(OMcp22_110*ROcp22_58-OMcp22_210*ROcp22_48)+qd[12]*(OMcp22_111*ROcp22_211-OMcp22_211*
ROcp22_111)+qdd[11]*ROcp22_68+qdd[12]*ROcp22_311;
RLcp22_113 = ROcp22_111*s->dpt[1][10]+ROcp22_712*s->dpt[3][10];
RLcp22_213 = ROcp22_211*s->dpt[1][10]+ROcp22_812*s->dpt[3][10];
RLcp22_313 = ROcp22_311*s->dpt[1][10]+ROcp22_912*s->dpt[3][10];
ORcp22_113 = OMcp22_212*RLcp22_313-OMcp22_312*RLcp22_213;
ORcp22_213 = -(OMcp22_112*RLcp22_313-OMcp22_312*RLcp22_113);
ORcp22_313 = OMcp22_112*RLcp22_213-OMcp22_212*RLcp22_113;
RLcp22_116 = q[16]*ROcp22_715;
RLcp22_216 = q[16]*ROcp22_815;
RLcp22_316 = q[16]*ROcp22_915;
ORcp22_116 = OMcp22_212*RLcp22_316-OMcp22_312*RLcp22_216;
ORcp22_216 = -(OMcp22_112*RLcp22_316-OMcp22_312*RLcp22_116);
ORcp22_316 = OMcp22_112*RLcp22_216-OMcp22_212*RLcp22_116;
RLcp22_117 = q[17]*ROcp22_415;
RLcp22_217 = q[17]*ROcp22_515;
RLcp22_317 = q[17]*ROcp22_615;
ORcp22_117 = OMcp22_212*RLcp22_317-OMcp22_312*RLcp22_217;
ORcp22_217 = -(OMcp22_112*RLcp22_317-OMcp22_312*RLcp22_117);
ORcp22_317 = OMcp22_112*RLcp22_217-OMcp22_212*RLcp22_117;
RLcp22_118 = q[18]*ROcp22_114;
RLcp22_218 = q[18]*ROcp22_214;
RLcp22_318 = q[18]*ROcp22_314;
ORcp22_118 = OMcp22_212*RLcp22_318-OMcp22_312*RLcp22_218;
ORcp22_218 = -(OMcp22_112*RLcp22_318-OMcp22_312*RLcp22_118);
ORcp22_318 = OMcp22_112*RLcp22_218-OMcp22_212*RLcp22_118;
RLcp22_178 = ROcp22_715*s->dpt[3][11];
RLcp22_278 = ROcp22_815*s->dpt[3][11];
RLcp22_378 = ROcp22_915*s->dpt[3][11];
ORcp22_178 = OMcp22_212*RLcp22_378-OMcp22_312*RLcp22_278;
ORcp22_278 = -(OMcp22_112*RLcp22_378-OMcp22_312*RLcp22_178);
ORcp22_378 = OMcp22_112*RLcp22_278-OMcp22_212*RLcp22_178;
PxF1[1] = q[1]+RLcp22_110+RLcp22_111+RLcp22_113+RLcp22_116+RLcp22_117+RLcp22_118+RLcp22_17+RLcp22_178+RLcp22_18;
PxF1[2] = q[2]+RLcp22_210+RLcp22_211+RLcp22_213+RLcp22_216+RLcp22_217+RLcp22_218+RLcp22_27+RLcp22_278+RLcp22_28;
PxF1[3] = q[3]+RLcp22_310+RLcp22_311+RLcp22_313+RLcp22_316+RLcp22_317+RLcp22_318+RLcp22_37+RLcp22_378+RLcp22_38;
RxF1[1][1] = ROcp22_114;
RxF1[1][2] = ROcp22_214;
RxF1[1][3] = ROcp22_314;
RxF1[2][1] = ROcp22_415;
RxF1[2][2] = ROcp22_515;
RxF1[2][3] = ROcp22_615;
RxF1[3][1] = ROcp22_715;
RxF1[3][2] = ROcp22_815;
RxF1[3][3] = ROcp22_915;
VxF1[1] = qd[1]+ORcp22_110+ORcp22_111+ORcp22_113+ORcp22_116+ORcp22_117+ORcp22_118+ORcp22_17+ORcp22_178+ORcp22_18;
VxF1[2] = qd[2]+ORcp22_210+ORcp22_211+ORcp22_213+ORcp22_216+ORcp22_217+ORcp22_218+ORcp22_27+ORcp22_278+ORcp22_28;
VxF1[3] = qd[3]+ORcp22_310+ORcp22_311+ORcp22_313+ORcp22_316+ORcp22_317+ORcp22_318+ORcp22_37+ORcp22_378+ORcp22_38;
OMxF1[1] = OMcp22_112;
OMxF1[2] = OMcp22_212;
OMxF1[3] = OMcp22_312;
AxF1[1] = qdd[1]+OMcp22_210*ORcp22_311+OMcp22_212*ORcp22_313+OMcp22_212*ORcp22_316+OMcp22_212*ORcp22_317+OMcp22_212*
ORcp22_318+OMcp22_212*ORcp22_378+OMcp22_26*ORcp22_37+OMcp22_27*ORcp22_38+OMcp22_29*ORcp22_310-OMcp22_310*ORcp22_211-
OMcp22_312*ORcp22_213-OMcp22_312*ORcp22_216-OMcp22_312*ORcp22_217-OMcp22_312*ORcp22_218-OMcp22_312*ORcp22_278-OMcp22_36*
ORcp22_27-OMcp22_37*ORcp22_28-OMcp22_39*ORcp22_210+OPcp22_210*RLcp22_311+OPcp22_212*RLcp22_313+OPcp22_212*RLcp22_316+
OPcp22_212*RLcp22_317+OPcp22_212*RLcp22_318+OPcp22_212*RLcp22_378+OPcp22_26*RLcp22_37+OPcp22_27*RLcp22_38+OPcp22_29*
RLcp22_310-OPcp22_310*RLcp22_211-OPcp22_312*RLcp22_213-OPcp22_312*RLcp22_216-OPcp22_312*RLcp22_217-OPcp22_312*RLcp22_218-
OPcp22_312*RLcp22_278-OPcp22_36*RLcp22_27-OPcp22_37*RLcp22_28-OPcp22_39*RLcp22_210;
AxF1[2] = qdd[2]-OMcp22_110*ORcp22_311-OMcp22_112*ORcp22_313-OMcp22_112*ORcp22_316-OMcp22_112*ORcp22_317-OMcp22_112*
ORcp22_318-OMcp22_112*ORcp22_378-OMcp22_16*ORcp22_37-OMcp22_17*ORcp22_38-OMcp22_19*ORcp22_310+OMcp22_310*ORcp22_111+
OMcp22_312*ORcp22_113+OMcp22_312*ORcp22_116+OMcp22_312*ORcp22_117+OMcp22_312*ORcp22_118+OMcp22_312*ORcp22_178+OMcp22_36*
ORcp22_17+OMcp22_37*ORcp22_18+OMcp22_39*ORcp22_110-OPcp22_110*RLcp22_311-OPcp22_112*RLcp22_313-OPcp22_112*RLcp22_316-
OPcp22_112*RLcp22_317-OPcp22_112*RLcp22_318-OPcp22_112*RLcp22_378-OPcp22_16*RLcp22_37-OPcp22_17*RLcp22_38-OPcp22_19*
RLcp22_310+OPcp22_310*RLcp22_111+OPcp22_312*RLcp22_113+OPcp22_312*RLcp22_116+OPcp22_312*RLcp22_117+OPcp22_312*RLcp22_118+
OPcp22_312*RLcp22_178+OPcp22_36*RLcp22_17+OPcp22_37*RLcp22_18+OPcp22_39*RLcp22_110;
AxF1[3] = qdd[3]+OMcp22_110*ORcp22_211+OMcp22_112*ORcp22_213+OMcp22_112*ORcp22_216+OMcp22_112*ORcp22_217+OMcp22_112*
ORcp22_218+OMcp22_112*ORcp22_278+OMcp22_16*ORcp22_27+OMcp22_17*ORcp22_28+OMcp22_19*ORcp22_210-OMcp22_210*ORcp22_111-
OMcp22_212*ORcp22_113-OMcp22_212*ORcp22_116-OMcp22_212*ORcp22_117-OMcp22_212*ORcp22_118-OMcp22_212*ORcp22_178-OMcp22_26*
ORcp22_17-OMcp22_27*ORcp22_18-OMcp22_29*ORcp22_110+OPcp22_110*RLcp22_211+OPcp22_112*RLcp22_213+OPcp22_112*RLcp22_216+
OPcp22_112*RLcp22_217+OPcp22_112*RLcp22_218+OPcp22_112*RLcp22_278+OPcp22_16*RLcp22_27+OPcp22_17*RLcp22_28+OPcp22_19*
RLcp22_210-OPcp22_210*RLcp22_111-OPcp22_212*RLcp22_113-OPcp22_212*RLcp22_116-OPcp22_212*RLcp22_117-OPcp22_212*RLcp22_118-
OPcp22_212*RLcp22_178-OPcp22_26*RLcp22_17-OPcp22_27*RLcp22_18-OPcp22_29*RLcp22_110;
OMPxF1[1] = OPcp22_112;
OMPxF1[2] = OPcp22_212;
OMPxF1[3] = OPcp22_312;
// Sensor Forces Computation
SWr1 = user_ExtForces(PxF1,RxF1,VxF1,OMxF1,AxF1,OMPxF1,s,tsim,1);
// Sensor Dynamics : Forces projection on body-fixed frames
xfrc123 = ROcp22_114*SWr1[1]+ROcp22_214*SWr1[2]+ROcp22_314*SWr1[3];
xfrc223 = ROcp22_415*SWr1[1]+ROcp22_515*SWr1[2]+ROcp22_615*SWr1[3];
xfrc323 = ROcp22_715*SWr1[1]+ROcp22_815*SWr1[2]+ROcp22_915*SWr1[3];
frc[1][18] = s->frc[1][18]+xfrc123;
frc[2][18] = s->frc[2][18]+xfrc223;
frc[3][18] = s->frc[3][18]+xfrc323;
xtrq123 = ROcp22_114*SWr1[4]+ROcp22_214*SWr1[5]+ROcp22_314*SWr1[6];
xtrq223 = ROcp22_415*SWr1[4]+ROcp22_515*SWr1[5]+ROcp22_615*SWr1[6];
xtrq323 = ROcp22_715*SWr1[4]+ROcp22_815*SWr1[5]+ROcp22_915*SWr1[6];
trq[1][18] = s->trq[1][18]+xtrq123-xfrc223*(SWr1[9]-s->l[3][18])+xfrc323*(SWr1[8]-s->l[2][18]);
trq[2][18] = s->trq[2][18]+xtrq223+xfrc123*(SWr1[9]-s->l[3][18])-xfrc323*(SWr1[7]-s->l[1][18]);
trq[3][18] = s->trq[3][18]+xtrq323-xfrc123*(SWr1[8]-s->l[2][18])+xfrc223*(SWr1[7]-s->l[1][18]);
}
void extforce_2(double **frc,double **trq,
MBSdataStruct *s, double tsim){
double PxF2[4];
double RxF2[4][4];
double VxF2[4];
double OMxF2[4];
double AxF2[4];
double OMPxF2[4];
double *SWr2;
#include "ext_force_2.h"
// = = Block_0_0_0_0_0_1 = =
// Trigonometric Variables
C4 = cos(q[4]);
S4 = sin(q[4]);
C5 = cos(q[5]);
S5 = sin(q[5]);
C6 = cos(q[6]);
S6 = sin(q[6]);
// = = Block_0_0_0_0_0_3 = =
// Trigonometric Variables
C19 = cos(q[19]);
S19 = sin(q[19]);
C20 = cos(q[20]);
S20 = sin(q[20]);
C21 = cos(q[21]);
S21 = sin(q[21]);
C22 = cos(q[22]);
S22 = sin(q[22]);
C23 = cos(q[23]);
S23 = sin(q[23]);
C24 = cos(q[24]);
S24 = sin(q[24]);
C25 = cos(q[25]);
S25 = sin(q[25]);
C26 = cos(q[26]);
S26 = sin(q[26]);
C27 = cos(q[27]);
S27 = sin(q[27]);
// = = Block_0_0_1_2_0_1 = =
// Sensor Kinematics
ROcp23_25 = S4*S5;
ROcp23_35 = -C4*S5;
ROcp23_85 = -S4*C5;
ROcp23_95 = C4*C5;
ROcp23_16 = C5*C6;
ROcp23_26 = ROcp23_25*C6+C4*S6;
ROcp23_36 = ROcp23_35*C6+S4*S6;
ROcp23_46 = -C5*S6;
ROcp23_56 = -(ROcp23_25*S6-C4*C6);
ROcp23_66 = -(ROcp23_35*S6-S4*C6);
OMcp23_25 = qd[5]*C4;
OMcp23_35 = qd[5]*S4;
OMcp23_16 = qd[4]+qd[6]*S5;
OMcp23_26 = OMcp23_25+qd[6]*ROcp23_85;
OMcp23_36 = OMcp23_35+qd[6]*ROcp23_95;
OPcp23_16 = qdd[4]+qd[5]*qd[6]*C5+qdd[6]*S5;
OPcp23_26 = -(qd[4]*qd[5]*S4+qd[6]*(qd[4]*ROcp23_95-OMcp23_35*S5)-qdd[5]*C4-qdd[6]*ROcp23_85);
OPcp23_36 = qd[4]*qd[5]*C4+qd[6]*(qd[4]*ROcp23_85-OMcp23_25*S5)+qdd[5]*S4+qdd[6]*ROcp23_95;
// = = Block_0_0_1_2_0_3 = =
// Sensor Kinematics
ROcp23_419 = ROcp23_46*C19+S19*S5;
ROcp23_519 = ROcp23_56*C19+ROcp23_85*S19;
ROcp23_619 = ROcp23_66*C19+ROcp23_95*S19;
ROcp23_719 = -(ROcp23_46*S19-C19*S5);
ROcp23_819 = -(ROcp23_56*S19-ROcp23_85*C19);
ROcp23_919 = -(ROcp23_66*S19-ROcp23_95*C19);
ROcp23_120 = ROcp23_16*C20+ROcp23_419*S20;
ROcp23_220 = ROcp23_26*C20+ROcp23_519*S20;
ROcp23_320 = ROcp23_36*C20+ROcp23_619*S20;
ROcp23_420 = -(ROcp23_16*S20-ROcp23_419*C20);
ROcp23_520 = -(ROcp23_26*S20-ROcp23_519*C20);
ROcp23_620 = -(ROcp23_36*S20-ROcp23_619*C20);
ROcp23_121 = ROcp23_120*C21-ROcp23_719*S21;
ROcp23_221 = ROcp23_220*C21-ROcp23_819*S21;
ROcp23_321 = ROcp23_320*C21-ROcp23_919*S21;
ROcp23_721 = ROcp23_120*S21+ROcp23_719*C21;
ROcp23_821 = ROcp23_220*S21+ROcp23_819*C21;
ROcp23_921 = ROcp23_320*S21+ROcp23_919*C21;
ROcp23_122 = ROcp23_121*C22-ROcp23_721*S22;
ROcp23_222 = ROcp23_221*C22-ROcp23_821*S22;
ROcp23_322 = ROcp23_321*C22-ROcp23_921*S22;
ROcp23_722 = ROcp23_121*S22+ROcp23_721*C22;
ROcp23_822 = ROcp23_221*S22+ROcp23_821*C22;
ROcp23_922 = ROcp23_321*S22+ROcp23_921*C22;
ROcp23_123 = ROcp23_122*C23-ROcp23_722*S23;
ROcp23_223 = ROcp23_222*C23-ROcp23_822*S23;
ROcp23_323 = ROcp23_322*C23-ROcp23_922*S23;
ROcp23_723 = ROcp23_122*S23+ROcp23_722*C23;
ROcp23_823 = ROcp23_222*S23+ROcp23_822*C23;
ROcp23_923 = ROcp23_322*S23+ROcp23_922*C23;
ROcp23_424 = ROcp23_420*C24+ROcp23_723*S24;
ROcp23_524 = ROcp23_520*C24+ROcp23_823*S24;
ROcp23_624 = ROcp23_620*C24+ROcp23_923*S24;
ROcp23_724 = -(ROcp23_420*S24-ROcp23_723*C24);
ROcp23_824 = -(ROcp23_520*S24-ROcp23_823*C24);
ROcp23_924 = -(ROcp23_620*S24-ROcp23_923*C24);
ROcp23_125 = ROcp23_123*C25+ROcp23_424*S25;
ROcp23_225 = ROcp23_223*C25+ROcp23_524*S25;
ROcp23_325 = ROcp23_323*C25+ROcp23_624*S25;
ROcp23_425 = -(ROcp23_123*S25-ROcp23_424*C25);
ROcp23_525 = -(ROcp23_223*S25-ROcp23_524*C25);
ROcp23_625 = -(ROcp23_323*S25-ROcp23_624*C25);
ROcp23_126 = ROcp23_125*C26-ROcp23_724*S26;
ROcp23_226 = ROcp23_225*C26-ROcp23_824*S26;
ROcp23_326 = ROcp23_325*C26-ROcp23_924*S26;
ROcp23_726 = ROcp23_125*S26+ROcp23_724*C26;
ROcp23_826 = ROcp23_225*S26+ROcp23_824*C26;
ROcp23_926 = ROcp23_325*S26+ROcp23_924*C26;
ROcp23_427 = ROcp23_425*C27+ROcp23_726*S27;
ROcp23_527 = ROcp23_525*C27+ROcp23_826*S27;
ROcp23_627 = ROcp23_625*C27+ROcp23_926*S27;
ROcp23_727 = -(ROcp23_425*S27-ROcp23_726*C27);
ROcp23_827 = -(ROcp23_525*S27-ROcp23_826*C27);
ROcp23_927 = -(ROcp23_625*S27-ROcp23_926*C27);
RLcp23_119 = ROcp23_16*s->dpt[1][2]+ROcp23_46*s->dpt[2][2];
RLcp23_219 = ROcp23_26*s->dpt[1][2]+ROcp23_56*s->dpt[2][2];
RLcp23_319 = ROcp23_36*s->dpt[1][2]+ROcp23_66*s->dpt[2][2];
OMcp23_119 = OMcp23_16+qd[19]*ROcp23_16;
OMcp23_219 = OMcp23_26+qd[19]*ROcp23_26;
OMcp23_319 = OMcp23_36+qd[19]*ROcp23_36;
ORcp23_119 = OMcp23_26*RLcp23_319-OMcp23_36*RLcp23_219;
ORcp23_219 = -(OMcp23_16*RLcp23_319-OMcp23_36*RLcp23_119);
ORcp23_319 = OMcp23_16*RLcp23_219-OMcp23_26*RLcp23_119;
OPcp23_119 = OPcp23_16+qd[19]*(OMcp23_26*ROcp23_36-OMcp23_36*ROcp23_26)+qdd[19]*ROcp23_16;
OPcp23_219 = OPcp23_26-qd[19]*(OMcp23_16*ROcp23_36-OMcp23_36*ROcp23_16)+qdd[19]*ROcp23_26;
OPcp23_319 = OPcp23_36+qd[19]*(OMcp23_16*ROcp23_26-OMcp23_26*ROcp23_16)+qdd[19]*ROcp23_36;
RLcp23_120 = ROcp23_16*s->dpt[1][12]+ROcp23_419*s->dpt[2][12]+ROcp23_719*s->dpt[3][12];
RLcp23_220 = ROcp23_26*s->dpt[1][12]+ROcp23_519*s->dpt[2][12]+ROcp23_819*s->dpt[3][12];
RLcp23_320 = ROcp23_36*s->dpt[1][12]+ROcp23_619*s->dpt[2][12]+ROcp23_919*s->dpt[3][12];
OMcp23_120 = OMcp23_119+qd[20]*ROcp23_719;
OMcp23_220 = OMcp23_219+qd[20]*ROcp23_819;
OMcp23_320 = OMcp23_319+qd[20]*ROcp23_919;
ORcp23_120 = OMcp23_219*RLcp23_320-OMcp23_319*RLcp23_220;
ORcp23_220 = -(OMcp23_119*RLcp23_320-OMcp23_319*RLcp23_120);
ORcp23_320 = OMcp23_119*RLcp23_220-OMcp23_219*RLcp23_120;
OMcp23_121 = OMcp23_120+qd[21]*ROcp23_420;
OMcp23_221 = OMcp23_220+qd[21]*ROcp23_520;
OMcp23_321 = OMcp23_320+qd[21]*ROcp23_620;
OPcp23_121 = OPcp23_119+qd[20]*(OMcp23_219*ROcp23_919-OMcp23_319*ROcp23_819)+qd[21]*(OMcp23_220*ROcp23_620-OMcp23_320*
ROcp23_520)+qdd[20]*ROcp23_719+qdd[21]*ROcp23_420;
OPcp23_221 = OPcp23_219-qd[20]*(OMcp23_119*ROcp23_919-OMcp23_319*ROcp23_719)-qd[21]*(OMcp23_120*ROcp23_620-OMcp23_320*
ROcp23_420)+qdd[20]*ROcp23_819+qdd[21]*ROcp23_520;
OPcp23_321 = OPcp23_319+qd[20]*(OMcp23_119*ROcp23_819-OMcp23_219*ROcp23_719)+qd[21]*(OMcp23_120*ROcp23_520-OMcp23_220*
ROcp23_420)+qdd[20]*ROcp23_919+qdd[21]*ROcp23_620;
RLcp23_122 = ROcp23_721*s->dpt[3][14];
RLcp23_222 = ROcp23_821*s->dpt[3][14];
RLcp23_322 = ROcp23_921*s->dpt[3][14];
OMcp23_122 = OMcp23_121+qd[22]*ROcp23_420;
OMcp23_222 = OMcp23_221+qd[22]*ROcp23_520;
OMcp23_322 = OMcp23_321+qd[22]*ROcp23_620;
ORcp23_122 = OMcp23_221*RLcp23_322-OMcp23_321*RLcp23_222;
ORcp23_222 = -(OMcp23_121*RLcp23_322-OMcp23_321*RLcp23_122);
ORcp23_322 = OMcp23_121*RLcp23_222-OMcp23_221*RLcp23_122;
OPcp23_122 = OPcp23_121+qd[22]*(OMcp23_221*ROcp23_620-OMcp23_321*ROcp23_520)+qdd[22]*ROcp23_420;
OPcp23_222 = OPcp23_221-qd[22]*(OMcp23_121*ROcp23_620-OMcp23_321*ROcp23_420)+qdd[22]*ROcp23_520;
OPcp23_322 = OPcp23_321+qd[22]*(OMcp23_121*ROcp23_520-OMcp23_221*ROcp23_420)+qdd[22]*ROcp23_620;
RLcp23_123 = ROcp23_722*s->dpt[3][15];
RLcp23_223 = ROcp23_822*s->dpt[3][15];
RLcp23_323 = ROcp23_922*s->dpt[3][15];
OMcp23_123 = OMcp23_122+qd[23]*ROcp23_420;
OMcp23_223 = OMcp23_222+qd[23]*ROcp23_520;
OMcp23_323 = OMcp23_322+qd[23]*ROcp23_620;
ORcp23_123 = OMcp23_222*RLcp23_323-OMcp23_322*RLcp23_223;
ORcp23_223 = -(OMcp23_122*RLcp23_323-OMcp23_322*RLcp23_123);
ORcp23_323 = OMcp23_122*RLcp23_223-OMcp23_222*RLcp23_123;
OMcp23_124 = OMcp23_123+qd[24]*ROcp23_123;
OMcp23_224 = OMcp23_223+qd[24]*ROcp23_223;
OMcp23_324 = OMcp23_323+qd[24]*ROcp23_323;
OPcp23_124 = OPcp23_122+qd[23]*(OMcp23_222*ROcp23_620-OMcp23_322*ROcp23_520)+qd[24]*(OMcp23_223*ROcp23_323-OMcp23_323*
ROcp23_223)+qdd[23]*ROcp23_420+qdd[24]*ROcp23_123;
OPcp23_224 = OPcp23_222-qd[23]*(OMcp23_122*ROcp23_620-OMcp23_322*ROcp23_420)-qd[24]*(OMcp23_123*ROcp23_323-OMcp23_323*
ROcp23_123)+qdd[23]*ROcp23_520+qdd[24]*ROcp23_223;
OPcp23_324 = OPcp23_322+qd[23]*(OMcp23_122*ROcp23_520-OMcp23_222*ROcp23_420)+qd[24]*(OMcp23_123*ROcp23_223-OMcp23_223*
ROcp23_123)+qdd[23]*ROcp23_620+qdd[24]*ROcp23_323;
RLcp23_125 = ROcp23_123*s->dpt[1][17]+ROcp23_724*s->dpt[3][17];
RLcp23_225 = ROcp23_223*s->dpt[1][17]+ROcp23_824*s->dpt[3][17];
RLcp23_325 = ROcp23_323*s->dpt[1][17]+ROcp23_924*s->dpt[3][17];
ORcp23_125 = OMcp23_224*RLcp23_325-OMcp23_324*RLcp23_225;
ORcp23_225 = -(OMcp23_124*RLcp23_325-OMcp23_324*RLcp23_125);
ORcp23_325 = OMcp23_124*RLcp23_225-OMcp23_224*RLcp23_125;
RLcp23_128 = q[28]*ROcp23_727;
RLcp23_228 = q[28]*ROcp23_827;
RLcp23_328 = q[28]*ROcp23_927;
ORcp23_128 = OMcp23_224*RLcp23_328-OMcp23_324*RLcp23_228;
ORcp23_228 = -(OMcp23_124*RLcp23_328-OMcp23_324*RLcp23_128);
ORcp23_328 = OMcp23_124*RLcp23_228-OMcp23_224*RLcp23_128;
RLcp23_129 = q[29]*ROcp23_427;
RLcp23_229 = q[29]*ROcp23_527;
RLcp23_329 = q[29]*ROcp23_627;
ORcp23_129 = OMcp23_224*RLcp23_329-OMcp23_324*RLcp23_229;
ORcp23_229 = -(OMcp23_124*RLcp23_329-OMcp23_324*RLcp23_129);
ORcp23_329 = OMcp23_124*RLcp23_229-OMcp23_224*RLcp23_129;
RLcp23_130 = q[30]*ROcp23_126;
RLcp23_230 = q[30]*ROcp23_226;
RLcp23_330 = q[30]*ROcp23_326;
ORcp23_130 = OMcp23_224*RLcp23_330-OMcp23_324*RLcp23_230;
ORcp23_230 = -(OMcp23_124*RLcp23_330-OMcp23_324*RLcp23_130);
ORcp23_330 = OMcp23_124*RLcp23_230-OMcp23_224*RLcp23_130;
RLcp23_179 = ROcp23_727*s->dpt[3][18];
RLcp23_279 = ROcp23_827*s->dpt[3][18];
RLcp23_379 = ROcp23_927*s->dpt[3][18];
ORcp23_179 = OMcp23_224*RLcp23_379-OMcp23_324*RLcp23_279;
ORcp23_279 = -(OMcp23_124*RLcp23_379-OMcp23_324*RLcp23_179);
ORcp23_379 = OMcp23_124*RLcp23_279-OMcp23_224*RLcp23_179;
PxF2[1] = q[1]+RLcp23_119+RLcp23_120+RLcp23_122+RLcp23_123+RLcp23_125+RLcp23_128+RLcp23_129+RLcp23_130+RLcp23_179;
PxF2[2] = q[2]+RLcp23_219+RLcp23_220+RLcp23_222+RLcp23_223+RLcp23_225+RLcp23_228+RLcp23_229+RLcp23_230+RLcp23_279;
PxF2[3] = q[3]+RLcp23_319+RLcp23_320+RLcp23_322+RLcp23_323+RLcp23_325+RLcp23_328+RLcp23_329+RLcp23_330+RLcp23_379;
RxF2[1][1] = ROcp23_126;
RxF2[1][2] = ROcp23_226;
RxF2[1][3] = ROcp23_326;
RxF2[2][1] = ROcp23_427;
RxF2[2][2] = ROcp23_527;
RxF2[2][3] = ROcp23_627;
RxF2[3][1] = ROcp23_727;
RxF2[3][2] = ROcp23_827;
RxF2[3][3] = ROcp23_927;
VxF2[1] = qd[1]+ORcp23_119+ORcp23_120+ORcp23_122+ORcp23_123+ORcp23_125+ORcp23_128+ORcp23_129+ORcp23_130+ORcp23_179;
VxF2[2] = qd[2]+ORcp23_219+ORcp23_220+ORcp23_222+ORcp23_223+ORcp23_225+ORcp23_228+ORcp23_229+ORcp23_230+ORcp23_279;
VxF2[3] = qd[3]+ORcp23_319+ORcp23_320+ORcp23_322+ORcp23_323+ORcp23_325+ORcp23_328+ORcp23_329+ORcp23_330+ORcp23_379;
OMxF2[1] = OMcp23_124;
OMxF2[2] = OMcp23_224;
OMxF2[3] = OMcp23_324;
AxF2[1] = qdd[1]+OMcp23_219*ORcp23_320+OMcp23_221*ORcp23_322+OMcp23_222*ORcp23_323+OMcp23_224*ORcp23_325+OMcp23_224*
ORcp23_328+OMcp23_224*ORcp23_329+OMcp23_224*ORcp23_330+OMcp23_224*ORcp23_379+OMcp23_26*ORcp23_319-OMcp23_319*ORcp23_220-
OMcp23_321*ORcp23_222-OMcp23_322*ORcp23_223-OMcp23_324*ORcp23_225-OMcp23_324*ORcp23_228-OMcp23_324*ORcp23_229-OMcp23_324*
ORcp23_230-OMcp23_324*ORcp23_279-OMcp23_36*ORcp23_219+OPcp23_219*RLcp23_320+OPcp23_221*RLcp23_322+OPcp23_222*RLcp23_323+
OPcp23_224*RLcp23_325+OPcp23_224*RLcp23_328+OPcp23_224*RLcp23_329+OPcp23_224*RLcp23_330+OPcp23_224*RLcp23_379+OPcp23_26*
RLcp23_319-OPcp23_319*RLcp23_220-OPcp23_321*RLcp23_222-OPcp23_322*RLcp23_223-OPcp23_324*RLcp23_225-OPcp23_324*RLcp23_228-
OPcp23_324*RLcp23_229-OPcp23_324*RLcp23_230-OPcp23_324*RLcp23_279-OPcp23_36*RLcp23_219;
AxF2[2] = qdd[2]-OMcp23_119*ORcp23_320-OMcp23_121*ORcp23_322-OMcp23_122*ORcp23_323-OMcp23_124*ORcp23_325-OMcp23_124*
ORcp23_328-OMcp23_124*ORcp23_329-OMcp23_124*ORcp23_330-OMcp23_124*ORcp23_379-OMcp23_16*ORcp23_319+OMcp23_319*ORcp23_120+
OMcp23_321*ORcp23_122+OMcp23_322*ORcp23_123+OMcp23_324*ORcp23_125+OMcp23_324*ORcp23_128+OMcp23_324*ORcp23_129+OMcp23_324*
ORcp23_130+OMcp23_324*ORcp23_179+OMcp23_36*ORcp23_119-OPcp23_119*RLcp23_320-OPcp23_121*RLcp23_322-OPcp23_122*RLcp23_323-
OPcp23_124*RLcp23_325-OPcp23_124*RLcp23_328-OPcp23_124*RLcp23_329-OPcp23_124*RLcp23_330-OPcp23_124*RLcp23_379-OPcp23_16*
RLcp23_319+OPcp23_319*RLcp23_120+OPcp23_321*RLcp23_122+OPcp23_322*RLcp23_123+OPcp23_324*RLcp23_125+OPcp23_324*RLcp23_128+
OPcp23_324*RLcp23_129+OPcp23_324*RLcp23_130+OPcp23_324*RLcp23_179+OPcp23_36*RLcp23_119;
AxF2[3] = qdd[3]+OMcp23_119*ORcp23_220+OMcp23_121*ORcp23_222+OMcp23_122*ORcp23_223+OMcp23_124*ORcp23_225+OMcp23_124*
ORcp23_228+OMcp23_124*ORcp23_229+OMcp23_124*ORcp23_230+OMcp23_124*ORcp23_279+OMcp23_16*ORcp23_219-OMcp23_219*ORcp23_120-
OMcp23_221*ORcp23_122-OMcp23_222*ORcp23_123-OMcp23_224*ORcp23_125-OMcp23_224*ORcp23_128-OMcp23_224*ORcp23_129-OMcp23_224*
ORcp23_130-OMcp23_224*ORcp23_179-OMcp23_26*ORcp23_119+OPcp23_119*RLcp23_220+OPcp23_121*RLcp23_222+OPcp23_122*RLcp23_223+
OPcp23_124*RLcp23_225+OPcp23_124*RLcp23_228+OPcp23_124*RLcp23_229+OPcp23_124*RLcp23_230+OPcp23_124*RLcp23_279+OPcp23_16*
RLcp23_219-OPcp23_219*RLcp23_120-OPcp23_221*RLcp23_122-OPcp23_222*RLcp23_123-OPcp23_224*RLcp23_125-OPcp23_224*RLcp23_128-
OPcp23_224*RLcp23_129-OPcp23_224*RLcp23_130-OPcp23_224*RLcp23_179-OPcp23_26*RLcp23_119;
OMPxF2[1] = OPcp23_124;
OMPxF2[2] = OPcp23_224;
OMPxF2[3] = OPcp23_324;
// Sensor Forces Computation
SWr2 = user_ExtForces(PxF2,RxF2,VxF2,OMxF2,AxF2,OMPxF2,s,tsim,2);
// Sensor Dynamics : Forces projection on body-fixed frames
xfrc124 = ROcp23_126*SWr2[1]+ROcp23_226*SWr2[2]+ROcp23_326*SWr2[3];
xfrc224 = ROcp23_427*SWr2[1]+ROcp23_527*SWr2[2]+ROcp23_627*SWr2[3];
xfrc324 = ROcp23_727*SWr2[1]+ROcp23_827*SWr2[2]+ROcp23_927*SWr2[3];
frc[1][30] = s->frc[1][30]+xfrc124;
frc[2][30] = s->frc[2][30]+xfrc224;
frc[3][30] = s->frc[3][30]+xfrc324;
xtrq124 = ROcp23_126*SWr2[4]+ROcp23_226*SWr2[5]+ROcp23_326*SWr2[6];
xtrq224 = ROcp23_427*SWr2[4]+ROcp23_527*SWr2[5]+ROcp23_627*SWr2[6];
xtrq324 = ROcp23_727*SWr2[4]+ROcp23_827*SWr2[5]+ROcp23_927*SWr2[6];
trq[1][30] = s->trq[1][30]+xtrq124-xfrc224*(SWr2[9]-s->l[3][30])+xfrc324*(SWr2[8]-s->l[2][30]);
trq[2][30] = s->trq[2][30]+xtrq224+xfrc124*(SWr2[9]-s->l[3][30])-xfrc324*(SWr2[7]-s->l[1][30]);
trq[3][30] = s->trq[3][30]+xtrq324-xfrc124*(SWr2[8]-s->l[2][30])+xfrc224*(SWr2[7]-s->l[1][30]);
}
void extforces(double **frc,double **trq,
MBSdataStruct *s, double tsim)
// double frc[3][55];
// double trq[3][55];
{
#ifdef PARALLEL_OPENMP_2
#pragma omp parallel num_threads(4)
{
//int id;
//id = omp_get_thread_num();
//#pragma omp section
//if(id == 0)
#pragma omp single nowait
{
extforce_1(frc,trq, s, tsim);
}
//#pragma omp section
//if(id == 1)
#pragma omp single nowait
{
extforce_2(frc,trq, s, tsim);
}
}
#else
extforce_1(frc,trq, s, tsim);
extforce_2(frc,trq, s, tsim);
#endif
// = = Block_0_0_1_2_1_0 = =
// Symbolic Outputs
// frc[1][6] = s->frc[1][6];
// frc[2][6] = s->frc[2][6];
// frc[3][6] = s->frc[3][6];
// frc[1][7] = s->frc[1][7];
// frc[2][7] = s->frc[2][7];
// frc[3][7] = s->frc[3][7];
// frc[1][8] = s->frc[1][8];
// frc[2][8] = s->frc[2][8];
// frc[3][8] = s->frc[3][8];
// frc[1][9] = s->frc[1][9];
// frc[2][9] = s->frc[2][9];
// frc[3][9] = s->frc[3][9];
// frc[1][10] = s->frc[1][10];
// frc[2][10] = s->frc[2][10];
// frc[3][10] = s->frc[3][10];
// frc[1][11] = s->frc[1][11];
// frc[2][11] = s->frc[2][11];
// frc[3][11] = s->frc[3][11];
// frc[1][12] = s->frc[1][12];
// frc[2][12] = s->frc[2][12];
// frc[3][12] = s->frc[3][12];
// frc[1][19] = s->frc[1][19];
// frc[2][19] = s->frc[2][19];
// frc[3][19] = s->frc[3][19];
// frc[1][20] = s->frc[1][20];
// frc[2][20] = s->frc[2][20];
// frc[3][20] = s->frc[3][20];
// frc[1][21] = s->frc[1][21];
// frc[2][21] = s->frc[2][21];
// frc[3][21] = s->frc[3][21];
// frc[1][22] = s->frc[1][22];
// frc[2][22] = s->frc[2][22];
// frc[3][22] = s->frc[3][22];
// frc[1][23] = s->frc[1][23];
// frc[2][23] = s->frc[2][23];
// frc[3][23] = s->frc[3][23];
// frc[1][24] = s->frc[1][24];
// frc[2][24] = s->frc[2][24];
// frc[3][24] = s->frc[3][24];
// frc[1][32] = s->frc[1][32];
// frc[2][32] = s->frc[2][32];
// frc[3][32] = s->frc[3][32];
// frc[1][33] = s->frc[1][33];
// frc[2][33] = s->frc[2][33];
// frc[3][33] = s->frc[3][33];
// frc[1][34] = s->frc[1][34];
// frc[2][34] = s->frc[2][34];
// frc[3][34] = s->frc[3][34];
// frc[1][37] = s->frc[1][37];
// frc[2][37] = s->frc[2][37];
// frc[3][37] = s->frc[3][37];
// frc[1][38] = s->frc[1][38];
// frc[2][38] = s->frc[2][38];
// frc[3][38] = s->frc[3][38];
// frc[1][39] = s->frc[1][39];
// frc[2][39] = s->frc[2][39];
// frc[3][39] = s->frc[3][39];
// frc[1][40] = s->frc[1][40];
// frc[2][40] = s->frc[2][40];
// frc[3][40] = s->frc[3][40];
// frc[1][41] = s->frc[1][41];
// frc[2][41] = s->frc[2][41];
// frc[3][41] = s->frc[3][41];
// frc[1][42] = s->frc[1][42];
// frc[2][42] = s->frc[2][42];
// frc[3][42] = s->frc[3][42];
// frc[1][43] = s->frc[1][43];
// frc[2][43] = s->frc[2][43];
// frc[3][43] = s->frc[3][43];
// frc[1][46] = s->frc[1][46];
// frc[2][46] = s->frc[2][46];
// frc[3][46] = s->frc[3][46];
// frc[1][47] = s->frc[1][47];
// frc[2][47] = s->frc[2][47];
// frc[3][47] = s->frc[3][47];
// frc[1][48] = s->frc[1][48];
// frc[2][48] = s->frc[2][48];
// frc[3][48] = s->frc[3][48];
// frc[1][49] = s->frc[1][49];
// frc[2][49] = s->frc[2][49];
// frc[3][49] = s->frc[3][49];
// frc[1][50] = s->frc[1][50];
// frc[2][50] = s->frc[2][50];
// frc[3][50] = s->frc[3][50];
// frc[1][51] = s->frc[1][51];
// frc[2][51] = s->frc[2][51];
// frc[3][51] = s->frc[3][51];
// frc[1][52] = s->frc[1][52];
// frc[2][52] = s->frc[2][52];
// frc[3][52] = s->frc[3][52];
// frc[1][53] = s->frc[1][53];
// frc[2][53] = s->frc[2][53];
// frc[3][53] = s->frc[3][53];
// frc[1][54] = s->frc[1][54];
// frc[2][54] = s->frc[2][54];
// frc[3][54] = s->frc[3][54];
// frc[1][55] = s->frc[1][55];
// frc[2][55] = s->frc[2][55];
// frc[3][55] = s->frc[3][55];
// trq[1][6] = s->trq[1][6];
// trq[2][6] = s->trq[2][6];
// trq[3][6] = s->trq[3][6];
// trq[1][7] = s->trq[1][7];
// trq[2][7] = s->trq[2][7];
// trq[3][7] = s->trq[3][7];
// trq[1][8] = s->trq[1][8];
// trq[2][8] = s->trq[2][8];
// trq[3][8] = s->trq[3][8];
// trq[1][9] = s->trq[1][9];
// trq[2][9] = s->trq[2][9];
// trq[3][9] = s->trq[3][9];
// trq[1][10] = s->trq[1][10];
// trq[2][10] = s->trq[2][10];
// trq[3][10] = s->trq[3][10];
// trq[1][11] = s->trq[1][11];
// trq[2][11] = s->trq[2][11];
// trq[3][11] = s->trq[3][11];
// trq[1][12] = s->trq[1][12];
// trq[2][12] = s->trq[2][12];
// trq[3][12] = s->trq[3][12];
// trq[1][19] = s->trq[1][19];
// trq[2][19] = s->trq[2][19];
// trq[3][19] = s->trq[3][19];
// trq[1][20] = s->trq[1][20];
// trq[2][20] = s->trq[2][20];
// trq[3][20] = s->trq[3][20];
// trq[1][21] = s->trq[1][21];
// trq[2][21] = s->trq[2][21];
// trq[3][21] = s->trq[3][21];
// trq[1][22] = s->trq[1][22];
// trq[2][22] = s->trq[2][22];
// trq[3][22] = s->trq[3][22];
// trq[1][23] = s->trq[1][23];
// trq[2][23] = s->trq[2][23];
// trq[3][23] = s->trq[3][23];
// trq[1][24] = s->trq[1][24];
// trq[2][24] = s->trq[2][24];
// trq[3][24] = s->trq[3][24];
// trq[1][32] = s->trq[1][32];
// trq[2][32] = s->trq[2][32];
// trq[3][32] = s->trq[3][32];
// trq[1][33] = s->trq[1][33];
// trq[2][33] = s->trq[2][33];
// trq[3][33] = s->trq[3][33];
// trq[1][34] = s->trq[1][34];
// trq[2][34] = s->trq[2][34];
// trq[3][34] = s->trq[3][34];
// trq[1][37] = s->trq[1][37];
// trq[2][37] = s->trq[2][37];
// trq[3][37] = s->trq[3][37];
// trq[1][38] = s->trq[1][38];
// trq[2][38] = s->trq[2][38];
// trq[3][38] = s->trq[3][38];
// trq[1][39] = s->trq[1][39];
// trq[2][39] = s->trq[2][39];
// trq[3][39] = s->trq[3][39];
// trq[1][40] = s->trq[1][40];
// trq[2][40] = s->trq[2][40];
// trq[3][40] = s->trq[3][40];
// trq[1][41] = s->trq[1][41];
// trq[2][41] = s->trq[2][41];
// trq[3][41] = s->trq[3][41];
// trq[1][42] = s->trq[1][42];
// trq[2][42] = s->trq[2][42];
// trq[3][42] = s->trq[3][42];
// trq[1][43] = s->trq[1][43];
// trq[2][43] = s->trq[2][43];
// trq[3][43] = s->trq[3][43];
// trq[1][46] = s->trq[1][46];
// trq[2][46] = s->trq[2][46];
// trq[3][46] = s->trq[3][46];
// trq[1][47] = s->trq[1][47];
// trq[2][47] = s->trq[2][47];
// trq[3][47] = s->trq[3][47];
// trq[1][48] = s->trq[1][48];
// trq[2][48] = s->trq[2][48];
// trq[3][48] = s->trq[3][48];
// trq[1][49] = s->trq[1][49];
// trq[2][49] = s->trq[2][49];
// trq[3][49] = s->trq[3][49];
// trq[1][50] = s->trq[1][50];
// trq[2][50] = s->trq[2][50];
// trq[3][50] = s->trq[3][50];
// trq[1][51] = s->trq[1][51];
// trq[2][51] = s->trq[2][51];
// trq[3][51] = s->trq[3][51];
// trq[1][52] = s->trq[1][52];
// trq[2][52] = s->trq[2][52];
// trq[3][52] = s->trq[3][52];
// trq[1][53] = s->trq[1][53];
// trq[2][53] = s->trq[2][53];
// trq[3][53] = s->trq[3][53];
// trq[1][54] = s->trq[1][54];
// trq[2][54] = s->trq[2][54];
// trq[3][54] = s->trq[3][54];
// trq[1][55] = s->trq[1][55];
// trq[2][55] = s->trq[2][55];
// trq[3][55] = s->trq[3][55];
// ====== END Task 0 ======
}
|
pair_mat.h | #include <ctype.h>
#include "utils.h"
#include "fold_vars.h"
#define NBASES 8
/*@notnull@*/
static const char Law_and_Order[] = "_ACGUTXKI";
static int BP_pair[NBASES][NBASES]=
/* _ A C G U X K I */
{{ 0, 0, 0, 0, 0, 0, 0, 0},
{ 0, 0, 0, 0, 5, 0, 0, 5},
{ 0, 0, 0, 1, 0, 0, 0, 0},
{ 0, 0, 2, 0, 3, 0, 0, 0},
{ 0, 6, 0, 4, 0, 0, 0, 6},
{ 0, 0, 0, 0, 0, 0, 2, 0},
{ 0, 0, 0, 0, 0, 1, 0, 0},
{ 0, 6, 0, 0, 5, 0, 0, 0}};
#define MAXALPHA 20 /* maximal length of alphabet */
static short alias[MAXALPHA+1];
static int pair[MAXALPHA+1][MAXALPHA+1];
/* rtype[pair[i][j]]:=pair[j][i] */
static int rtype[8] = {0, 2, 1, 4, 3, 6, 5, 7};
#ifdef _OPENMP
#pragma omp threadprivate(Law_and_Order, BP_pair, alias, pair, rtype)
#endif
/* for backward compatibility */
#define ENCODE(c) encode_char(c)
static int encode_char(char c) {
/* return numerical representation of base used e.g. in pair[][] */
int code;
if (energy_set>0) code = (int) (c-'A')+1;
else {
const char *pos;
pos = strchr(Law_and_Order, c);
if (pos==NULL) code=0;
else code = (int) (pos-Law_and_Order);
if (code>5) code = 0;
if (code>4) code--; /* make T and U equivalent */
}
return code;
}
/*@+boolint +charint@*/
/*@null@*/
extern char *nonstandards;
extern void nrerror(const char message[]);
static void make_pair_matrix(void)
{
int i,j;
if (energy_set==0) {
for (i=0; i<5; i++) alias[i] = (short) i;
alias[5] = 3; /* X <-> G */
alias[6] = 2; /* K <-> C */
alias[7] = 0; /* I <-> default base '@' */
for (i=0; i<NBASES; i++) {
for (j=0; j<NBASES; j++)
pair[i][j] = BP_pair[i][j];
}
if (noGU) pair[3][4] = pair[4][3] =0;
if (nonstandards!=NULL) { /* allow nonstandard bp's */
for (i=0; i<(int)strlen(nonstandards); i+=2)
pair[encode_char(nonstandards[i])]
[encode_char(nonstandards[i+1])]=7;
}
for (i=0; i<NBASES; i++) {
for (j=0; j<NBASES; j++)
rtype[pair[i][j]] = pair[j][i];
}
} else {
for (i=0; i<=MAXALPHA; i++) {
for (j=0; j<=MAXALPHA; j++)
pair[i][j] = 0;
}
if (energy_set==1) {
for (i=1; i<MAXALPHA;) {
alias[i++] = 3; /* A <-> G */
alias[i++] = 2; /* B <-> C */
}
for (i=1; i<MAXALPHA; i++) {
pair[i][i+1] = 2; /* AB <-> GC */
i++;
pair[i][i-1] = 1; /* BA <-> CG */
}
}
else if (energy_set==2) {
for (i=1; i<MAXALPHA;) {
alias[i++] = 1; /* A <-> A*/
alias[i++] = 4; /* B <-> U */
}
for (i=1; i<MAXALPHA; i++) {
pair[i][i+1] = 5; /* AB <-> AU */
i++;
pair[i][i-1] = 6; /* BA <-> UA */
}
}
else if (energy_set==3) {
for (i=1; i<MAXALPHA-2; ) {
alias[i++] = 3; /* A <-> G */
alias[i++] = 2; /* B <-> C */
alias[i++] = 1; /* C <-> A */
alias[i++] = 4; /* D <-> U */
}
for (i=1; i<MAXALPHA-2; i++) {
pair[i][i+1] = 2; /* AB <-> GC */
i++;
pair[i][i-1] = 1; /* BA <-> CG */
i++;
pair[i][i+1] = 5; /* CD <-> AU */
i++;
pair[i][i-1] = 6; /* DC <-> UA */
}
}
else nrerror("What energy_set are YOU using??");
for (i=0; i<=MAXALPHA; i++) {
for (j=0; j<=MAXALPHA; j++)
rtype[pair[i][j]] = pair[j][i];
}
}
}
static short *encode_sequence(const char *sequence, short how){
unsigned int i,l = (unsigned int)strlen(sequence);
short *S = (short *) space(sizeof(short)*(l+2));
switch(how){
/* standard encoding as always used for S */
case 0: for(i=1; i<=l; i++) /* make numerical encoding of sequence */
S[i]= (short) encode_char(toupper(sequence[i-1]));
S[l+1] = S[1];
S[0] = (short) l;
break;
/* encoding for mismatches of nostandard bases (normally used for S1) */
case 1: for(i=1; i<=l; i++)
S[i] = alias[(short) encode_char(toupper(sequence[i-1]))];
S[l+1] = S[1];
S[0] = S[l];
break;
}
return S;
}
|
nvector_openmpdev.c | /* -----------------------------------------------------------------
* Programmer(s): David J. Gardner and Shelby Lockhart @ LLNL
* -----------------------------------------------------------------
* Acknowledgements: This NVECTOR module is based on the NVECTOR
* Serial module by Scott D. Cohen, Alan C.
* Hindmarsh, Radu Serban, and Aaron Collier
* @ LLNL
* -----------------------------------------------------------------
* SUNDIALS Copyright Start
* Copyright (c) 2002-2020, Lawrence Livermore National Security
* and Southern Methodist University.
* All rights reserved.
*
* See the top-level LICENSE and NOTICE files for details.
*
* SPDX-License-Identifier: BSD-3-Clause
* SUNDIALS Copyright End
* -----------------------------------------------------------------
* This is the implementation file for an OpenMP DEV implementation
* of the NVECTOR module.
* -----------------------------------------------------------------*/
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#include <nvector/nvector_openmpdev.h>
#include <sundials/sundials_math.h>
#define ZERO RCONST(0.0)
#define HALF RCONST(0.5)
#define ONE RCONST(1.0)
#define ONEPT5 RCONST(1.5)
/* Private functions for special cases of vector operations */
static void VCopy_OpenMPDEV(N_Vector x, N_Vector z); /* z=x */
static void VSum_OpenMPDEV(N_Vector x, N_Vector y, N_Vector z); /* z=x+y */
static void VDiff_OpenMPDEV(N_Vector x, N_Vector y, N_Vector z); /* z=x-y */
static void VNeg_OpenMPDEV(N_Vector x, N_Vector z); /* z=-x */
static void VScaleSum_OpenMPDEV(realtype c, N_Vector x, N_Vector y, N_Vector z); /* z=c(x+y) */
static void VScaleDiff_OpenMPDEV(realtype c, N_Vector x, N_Vector y, N_Vector z); /* z=c(x-y) */
static void VLin1_OpenMPDEV(realtype a, N_Vector x, N_Vector y, N_Vector z); /* z=ax+y */
static void VLin2_OpenMPDEV(realtype a, N_Vector x, N_Vector y, N_Vector z); /* z=ax-y */
static void Vaxpy_OpenMPDEV(realtype a, N_Vector x, N_Vector y); /* y <- ax+y */
static void VScaleBy_OpenMPDEV(realtype a, N_Vector x); /* x <- ax */
/* Private functions for special cases of vector array operations */
static int VSumVectorArray_OpenMPDEV(int nvec, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=X+Y */
static int VDiffVectorArray_OpenMPDEV(int nvec, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=X-Y */
static int VScaleSumVectorArray_OpenMPDEV(int nvec, realtype c, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=c(X+Y) */
static int VScaleDiffVectorArray_OpenMPDEV(int nvec, realtype c, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=c(X-Y) */
static int VLin1VectorArray_OpenMPDEV(int nvec, realtype a, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=aX+Y */
static int VLin2VectorArray_OpenMPDEV(int nvec, realtype a, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=aX-Y */
static int VaxpyVectorArray_OpenMPDEV(int nvec, realtype a, N_Vector* X, N_Vector* Y); /* Y <- aX+Y */
/*
* -----------------------------------------------------------------
* exported functions
* -----------------------------------------------------------------
*/
/* ----------------------------------------------------------------
* Returns vector type ID. Used to identify vector implementation
* from abstract N_Vector interface.
*/
N_Vector_ID N_VGetVectorID_OpenMPDEV(N_Vector v)
{
return SUNDIALS_NVEC_OPENMPDEV;
}
/* ----------------------------------------------------------------------------
* Function to create a new empty vector
*/
N_Vector N_VNewEmpty_OpenMPDEV(sunindextype length)
{
N_Vector v;
N_VectorContent_OpenMPDEV content;
/* Create an empty vector object */
v = NULL;
v = N_VNewEmpty();
if (v == NULL) return(NULL);
/* Attach operations */
/* constructors, destructors, and utility operations */
v->ops->nvgetvectorid = N_VGetVectorID_OpenMPDEV;
v->ops->nvclone = N_VClone_OpenMPDEV;
v->ops->nvcloneempty = N_VCloneEmpty_OpenMPDEV;
v->ops->nvdestroy = N_VDestroy_OpenMPDEV;
v->ops->nvspace = N_VSpace_OpenMPDEV;
v->ops->nvgetlength = N_VGetLength_OpenMPDEV;
/* standard vector operations */
v->ops->nvlinearsum = N_VLinearSum_OpenMPDEV;
v->ops->nvconst = N_VConst_OpenMPDEV;
v->ops->nvprod = N_VProd_OpenMPDEV;
v->ops->nvdiv = N_VDiv_OpenMPDEV;
v->ops->nvscale = N_VScale_OpenMPDEV;
v->ops->nvabs = N_VAbs_OpenMPDEV;
v->ops->nvinv = N_VInv_OpenMPDEV;
v->ops->nvaddconst = N_VAddConst_OpenMPDEV;
v->ops->nvdotprod = N_VDotProd_OpenMPDEV;
v->ops->nvmaxnorm = N_VMaxNorm_OpenMPDEV;
v->ops->nvwrmsnormmask = N_VWrmsNormMask_OpenMPDEV;
v->ops->nvwrmsnorm = N_VWrmsNorm_OpenMPDEV;
v->ops->nvmin = N_VMin_OpenMPDEV;
v->ops->nvwl2norm = N_VWL2Norm_OpenMPDEV;
v->ops->nvl1norm = N_VL1Norm_OpenMPDEV;
v->ops->nvcompare = N_VCompare_OpenMPDEV;
v->ops->nvinvtest = N_VInvTest_OpenMPDEV;
v->ops->nvconstrmask = N_VConstrMask_OpenMPDEV;
v->ops->nvminquotient = N_VMinQuotient_OpenMPDEV;
/* fused and vector array operations are disabled (NULL) by default */
/* local reduction operations */
v->ops->nvdotprodlocal = N_VDotProd_OpenMPDEV;
v->ops->nvmaxnormlocal = N_VMaxNorm_OpenMPDEV;
v->ops->nvminlocal = N_VMin_OpenMPDEV;
v->ops->nvl1normlocal = N_VL1Norm_OpenMPDEV;
v->ops->nvinvtestlocal = N_VInvTest_OpenMPDEV;
v->ops->nvconstrmasklocal = N_VConstrMask_OpenMPDEV;
v->ops->nvminquotientlocal = N_VMinQuotient_OpenMPDEV;
v->ops->nvwsqrsumlocal = N_VWSqrSumLocal_OpenMPDEV;
v->ops->nvwsqrsummasklocal = N_VWSqrSumMaskLocal_OpenMPDEV;
/* Create content */
content = NULL;
content = (N_VectorContent_OpenMPDEV) malloc(sizeof *content);
if (content == NULL) { N_VDestroy(v); return(NULL); }
/* Attach content */
v->content = content;
/* Initialize content */
content->length = length;
content->own_data = SUNFALSE;
content->host_data = NULL;
content->dev_data = NULL;
return(v);
}
/* ----------------------------------------------------------------------------
* Function to create a new vector
*/
N_Vector N_VNew_OpenMPDEV(sunindextype length)
{
N_Vector v;
realtype *data;
realtype *dev_data;
int dev;
v = NULL;
v = N_VNewEmpty_OpenMPDEV(length);
if (v == NULL) return(NULL);
/* Create data */
if (length > 0) {
/* Update ownership */
NV_OWN_DATA_OMPDEV(v) = SUNTRUE;
/* Allocate memory on host */
data = NULL;
data = (realtype *) malloc(length * sizeof(realtype));
if (data == NULL) { N_VDestroy(v); return(NULL); }
/* Allocate memory on device */
dev = omp_get_default_device();
dev_data = omp_target_alloc(length * sizeof(realtype), dev);
if (dev_data == NULL) { N_VDestroy(v); return(NULL); }
/* Attach data */
NV_DATA_HOST_OMPDEV(v) = data;
NV_DATA_DEV_OMPDEV(v) = dev_data;
}
return(v);
}
/* ----------------------------------------------------------------------------
* Function to create a vector with user data component
*/
N_Vector N_VMake_OpenMPDEV(sunindextype length, realtype *h_vdata,
realtype *d_vdata)
{
N_Vector v;
int dev, host;
if (h_vdata == NULL || d_vdata == NULL) return(NULL);
v = NULL;
v = N_VNewEmpty_OpenMPDEV(length);
if (v == NULL) return(NULL);
if (length > 0) {
/* Get device and host identifiers */
dev = omp_get_default_device();
host = omp_get_initial_device();
/* Attach data */
NV_OWN_DATA_OMPDEV(v) = SUNFALSE;
NV_DATA_HOST_OMPDEV(v) = h_vdata;
NV_DATA_DEV_OMPDEV(v) = d_vdata;
}
return(v);
}
/* ----------------------------------------------------------------------------
* Function to create an array of new vectors.
*/
N_Vector *N_VCloneVectorArray_OpenMPDEV(int count, N_Vector w)
{
N_Vector *vs;
int j;
if (count <= 0) return(NULL);
vs = NULL;
vs = (N_Vector *) malloc(count * sizeof(N_Vector));
if(vs == NULL) return(NULL);
for (j = 0; j < count; j++) {
vs[j] = NULL;
vs[j] = N_VClone_OpenMPDEV(w);
if (vs[j] == NULL) {
N_VDestroyVectorArray_OpenMPDEV(vs, j-1);
return(NULL);
}
}
return(vs);
}
/* ----------------------------------------------------------------------------
* Function to create an array of new vectors with NULL data array.
*/
N_Vector *N_VCloneVectorArrayEmpty_OpenMPDEV(int count, N_Vector w)
{
N_Vector *vs;
int j;
if (count <= 0) return(NULL);
vs = NULL;
vs = (N_Vector *) malloc(count * sizeof(N_Vector));
if(vs == NULL) return(NULL);
for (j = 0; j < count; j++) {
vs[j] = NULL;
vs[j] = N_VCloneEmpty_OpenMPDEV(w);
if (vs[j] == NULL) {
N_VDestroyVectorArray_OpenMPDEV(vs, j-1);
return(NULL);
}
}
return(vs);
}
/* ----------------------------------------------------------------------------
* Function to free an array created with N_VCloneVectorArray_OpenMPDEV
*/
void N_VDestroyVectorArray_OpenMPDEV(N_Vector *vs, int count)
{
int j;
for (j = 0; j < count; j++) N_VDestroy_OpenMPDEV(vs[j]);
free(vs); vs = NULL;
return;
}
/* ----------------------------------------------------------------------------
* Function to return number of vector elements
*/
sunindextype N_VGetLength_OpenMPDEV(N_Vector v)
{
return NV_LENGTH_OMPDEV(v);
}
/* ----------------------------------------------------------------------------
* Function to return a pointer to the data array on the host.
*/
realtype *N_VGetHostArrayPointer_OpenMPDEV(N_Vector v)
{
return((realtype *) NV_DATA_HOST_OMPDEV(v));
}
/* ----------------------------------------------------------------------------
* Function to return a pointer to the data array on the device.
*/
realtype *N_VGetDeviceArrayPointer_OpenMPDEV(N_Vector v)
{
return((realtype *) NV_DATA_DEV_OMPDEV(v));
}
/* ----------------------------------------------------------------------------
* Function to print a vector to stdout
*/
void N_VPrint_OpenMPDEV(N_Vector x)
{
N_VPrintFile_OpenMPDEV(x, stdout);
}
/* ----------------------------------------------------------------------------
* Function to print a vector to outfile
*/
void N_VPrintFile_OpenMPDEV(N_Vector x, FILE *outfile)
{
sunindextype i, N;
realtype *xd;
xd = NULL;
N = NV_LENGTH_OMPDEV(x);
xd = NV_DATA_HOST_OMPDEV(x);
for (i = 0; i < N; i++) {
#if defined(SUNDIALS_EXTENDED_PRECISION)
fprintf(outfile, "%11.8Lg\n", xd[i]);
#elif defined(SUNDIALS_DOUBLE_PRECISION)
fprintf(outfile, "%11.8g\n", xd[i]);
#else
fprintf(outfile, "%11.8g\n", xd[i]);
#endif
}
fprintf(outfile, "\n");
return;
}
/* ----------------------------------------------------------------------------
* Function to copy host array into device array
*/
void N_VCopyToDevice_OpenMPDEV(N_Vector x)
{
int dev, host;
sunindextype length;
realtype *host_ptr;
realtype *dev_ptr;
/* Get array information */
length = NV_LENGTH_OMPDEV(x);
host_ptr = NV_DATA_HOST_OMPDEV(x);
dev_ptr = NV_DATA_DEV_OMPDEV(x);
/* Get device and host identifiers */
dev = omp_get_default_device();
host = omp_get_initial_device();
/* Copy array from host to device */
omp_target_memcpy(dev_ptr, host_ptr, sizeof(realtype) * length, 0, 0, dev, host);
return;
}
/* ----------------------------------------------------------------------------
* Function to copy device array into host array
*/
void N_VCopyFromDevice_OpenMPDEV(N_Vector x)
{
int dev, host;
sunindextype length;
realtype *host_ptr;
realtype *dev_ptr;
/* Get array information */
length = NV_LENGTH_OMPDEV(x);
host_ptr = NV_DATA_HOST_OMPDEV(x);
dev_ptr = NV_DATA_DEV_OMPDEV(x);
/* Get device and host identifiers */
dev = omp_get_default_device();
host = omp_get_initial_device();
/* Copy array from device to host */
omp_target_memcpy(host_ptr, dev_ptr, sizeof(realtype) * length, 0, 0, host, dev);
return;
}
/*
* -----------------------------------------------------------------
* implementation of vector operations
* -----------------------------------------------------------------
*/
/* ----------------------------------------------------------------------------
* Create new vector from existing vector without attaching data
*/
N_Vector N_VCloneEmpty_OpenMPDEV(N_Vector w)
{
N_Vector v;
N_VectorContent_OpenMPDEV content;
if (w == NULL) return(NULL);
/* Create vector */
v = NULL;
v = N_VNewEmpty();
if (v == NULL) return(NULL);
/* Attach operations */
if (N_VCopyOps(w, v)) { N_VDestroy(v); return(NULL); }
/* Create content */
content = NULL;
content = (N_VectorContent_OpenMPDEV) malloc(sizeof *content);
if (content == NULL) { N_VDestroy(v); return(NULL); }
/* Attach content */
v->content = content;
/* Initialize content */
content->length = NV_LENGTH_OMPDEV(w);
content->own_data = SUNFALSE;
content->host_data = NULL;
content->dev_data = NULL;
return(v);
}
/* ----------------------------------------------------------------------------
* Create new vector from existing vector and attach data
*/
N_Vector N_VClone_OpenMPDEV(N_Vector w)
{
N_Vector v;
realtype *data;
realtype *dev_data;
sunindextype length;
int dev;
v = NULL;
v = N_VCloneEmpty_OpenMPDEV(w);
if (v == NULL) return(NULL);
length = NV_LENGTH_OMPDEV(w);
/* Create data */
if (length > 0) {
/* Update ownership flag */
NV_OWN_DATA_OMPDEV(v) = SUNTRUE;
/* Allocate memory on host */
data = NULL;
data = (realtype *) malloc(length * sizeof(realtype));
if (data == NULL) { N_VDestroy(v); return(NULL); }
/* Allocate memory on device */
dev = omp_get_default_device();
dev_data = omp_target_alloc(length * sizeof(realtype), dev);
if (dev_data == NULL) { N_VDestroy(v); return(NULL); }
/* Attach data */
NV_DATA_HOST_OMPDEV(v)= data;
NV_DATA_DEV_OMPDEV(v) = dev_data;
}
return(v);
}
/* ----------------------------------------------------------------------------
* Destroy vector and free vector memory
*/
void N_VDestroy_OpenMPDEV(N_Vector v)
{
int dev;
if (v == NULL) return;
/* free content */
if (v->content != NULL) {
/* free data arrays if they are owned by the vector */
if (NV_OWN_DATA_OMPDEV(v)) {
if (NV_DATA_HOST_OMPDEV(v) != NULL) {
free(NV_DATA_HOST_OMPDEV(v));
NV_DATA_HOST_OMPDEV(v) = NULL;
}
if (NV_DATA_DEV_OMPDEV(v) != NULL) {
dev = omp_get_default_device();
omp_target_free(NV_DATA_DEV_OMPDEV(v), dev);
NV_DATA_DEV_OMPDEV(v) = NULL;
}
}
free(v->content);
v->content = NULL;
}
/* free ops and vector */
if (v->ops != NULL) { free(v->ops); v->ops = NULL; }
free(v); v = NULL;
return;
}
/* ----------------------------------------------------------------------------
* Get storage requirement for N_Vector
*/
void N_VSpace_OpenMPDEV(N_Vector v, sunindextype *lrw, sunindextype *liw)
{
*lrw = NV_LENGTH_OMPDEV(v);
*liw = 1;
return;
}
/* ----------------------------------------------------------------------------
* Compute linear combination z[i] = a*x[i]+b*y[i]
*/
void N_VLinearSum_OpenMPDEV(realtype a, N_Vector x, realtype b, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype c, *xd_dev, *yd_dev, *zd_dev;
N_Vector v1, v2;
booleantype test;
int dev;
xd_dev = yd_dev = zd_dev = NULL;
if ((b == ONE) && (z == y)) { /* BLAS usage: axpy y <- ax+y */
Vaxpy_OpenMPDEV(a,x,y);
return;
}
if ((a == ONE) && (z == x)) { /* BLAS usage: axpy x <- by+x */
Vaxpy_OpenMPDEV(b,y,x);
return;
}
/* Case: a == b == 1.0 */
if ((a == ONE) && (b == ONE)) {
VSum_OpenMPDEV(x, y, z);
return;
}
/* Cases: (1) a == 1.0, b = -1.0, (2) a == -1.0, b == 1.0 */
if ((test = ((a == ONE) && (b == -ONE))) || ((a == -ONE) && (b == ONE))) {
v1 = test ? y : x;
v2 = test ? x : y;
VDiff_OpenMPDEV(v2, v1, z);
return;
}
/* Cases: (1) a == 1.0, b == other or 0.0, (2) a == other or 0.0, b == 1.0 */
/* if a or b is 0.0, then user should have called N_VScale */
if ((test = (a == ONE)) || (b == ONE)) {
c = test ? b : a;
v1 = test ? y : x;
v2 = test ? x : y;
VLin1_OpenMPDEV(c, v1, v2, z);
return;
}
/* Cases: (1) a == -1.0, b != 1.0, (2) a != 1.0, b == -1.0 */
if ((test = (a == -ONE)) || (b == -ONE)) {
c = test ? b : a;
v1 = test ? y : x;
v2 = test ? x : y;
VLin2_OpenMPDEV(c, v1, v2, z);
return;
}
/* Case: a == b */
/* catches case both a and b are 0.0 - user should have called N_VConst */
if (a == b) {
VScaleSum_OpenMPDEV(a, x, y, z);
return;
}
/* Case: a == -b */
if (a == -b) {
VScaleDiff_OpenMPDEV(a, x, y, z);
return;
}
/* Do all cases not handled above:
(1) a == other, b == 0.0 - user should have called N_VScale
(2) a == 0.0, b == other - user should have called N_VScale
(3) a,b == other, a !=b, a != -b */
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,a,b) is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = (a*xd_dev[i])+(b*yd_dev[i]);
return;
}
/* ----------------------------------------------------------------------------
* Assigns constant value to all vector elements, z[i] = c
*/
void N_VConst_OpenMPDEV(realtype c, N_Vector z)
{
sunindextype i, N;
realtype *zd_dev;
int dev;
zd_dev = NULL;
N = NV_LENGTH_OMPDEV(z);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,c) is_device_ptr(zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++) zd_dev[i] = c;
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise product z[i] = x[i]*y[i]
*/
void N_VProd_OpenMPDEV(N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *yd_dev, *zd_dev;
int dev;
xd_dev = yd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = xd_dev[i]*yd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise division z[i] = x[i]/y[i]
*/
void N_VDiv_OpenMPDEV(N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *yd_dev, *zd_dev;
int dev;
xd_dev = yd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = xd_dev[i]/yd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute scaler multiplication z[i] = c*x[i]
*/
void N_VScale_OpenMPDEV(realtype c, N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *zd_dev;
int dev;
xd_dev = zd_dev = NULL;
if (z == x) { /* BLAS usage: scale x <- cx */
VScaleBy_OpenMPDEV(c, x);
return;
}
if (c == ONE) {
VCopy_OpenMPDEV(x, z);
} else if (c == -ONE) {
VNeg_OpenMPDEV(x, z);
} else {
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,c) is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = c*xd_dev[i];
}
return;
}
/* ----------------------------------------------------------------------------
* Compute absolute value of vector components z[i] = SUNRabs(x[i])
*/
void N_VAbs_OpenMPDEV(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *zd_dev;
int dev;
xd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = SUNRabs(xd_dev[i]);
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise inverse z[i] = 1 / x[i]
*/
void N_VInv_OpenMPDEV(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *zd_dev;
int dev;
xd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = ONE/xd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise addition of a scaler to a vector z[i] = x[i] + b
*/
void N_VAddConst_OpenMPDEV(N_Vector x, realtype b, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *zd_dev;
int dev;
xd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,b) is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = xd_dev[i]+b;
return;
}
/* ----------------------------------------------------------------------------
* Computes the dot product of two vectors, a = sum(x[i]*y[i])
*/
realtype N_VDotProd_OpenMPDEV(N_Vector x, N_Vector y)
{
sunindextype i, N;
realtype sum, *xd_dev, *yd_dev;
int dev;
xd_dev = yd_dev = NULL;
sum = ZERO;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) map(tofrom:sum) is_device_ptr(xd_dev, yd_dev) device(dev)
#pragma omp teams distribute parallel for reduction(+:sum) schedule(static, 1)
for (i = 0; i < N; i++) {
sum += xd_dev[i]*yd_dev[i];
}
return(sum);
}
/* ----------------------------------------------------------------------------
* Computes max norm of a vector
*/
realtype N_VMaxNorm_OpenMPDEV(N_Vector x)
{
sunindextype i, N;
realtype max, *xd_dev;
int dev;
max = ZERO;
xd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) map(tofrom:max) is_device_ptr(xd_dev) device(dev)
#pragma omp teams distribute parallel for reduction(max:max) schedule(static, 1)
for (i = 0; i < N; i++) {
max = SUNMAX(SUNRabs(xd_dev[i]), max);
}
return(max);
}
/* ----------------------------------------------------------------------------
* Computes weighted root mean square norm of a vector
*/
realtype N_VWrmsNorm_OpenMPDEV(N_Vector x, N_Vector w)
{
return(SUNRsqrt(N_VWSqrSumLocal_OpenMPDEV(x, w)/(NV_LENGTH_OMPDEV(x))));
}
/* ----------------------------------------------------------------------------
* Computes weighted root mean square norm of a masked vector
*/
realtype N_VWrmsNormMask_OpenMPDEV(N_Vector x, N_Vector w, N_Vector id)
{
return(SUNRsqrt(N_VWSqrSumMaskLocal_OpenMPDEV(x, w, id) / (NV_LENGTH_OMPDEV(x))));
}
/* ----------------------------------------------------------------------------
* Computes weighted square sum of a vector
*/
realtype N_VWSqrSumLocal_OpenMPDEV(N_Vector x, N_Vector w)
{
sunindextype i, N;
realtype sum, *xd_dev, *wd_dev;
int dev;
sum = ZERO;
xd_dev = wd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
wd_dev = NV_DATA_DEV_OMPDEV(w);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) map(tofrom:sum) is_device_ptr(xd_dev, wd_dev) device(dev)
#pragma omp teams distribute parallel for reduction(+:sum) schedule(static, 1)
for (i = 0; i < N; i++) {
sum += SUNSQR(xd_dev[i]*wd_dev[i]);
}
return(sum);
}
/* ----------------------------------------------------------------------------
* Computes weighted square sum of a masked vector
*/
realtype N_VWSqrSumMaskLocal_OpenMPDEV(N_Vector x, N_Vector w, N_Vector id)
{
sunindextype i, N;
realtype sum, *xd_dev, *wd_dev, *idd_dev;
int dev;
sum = ZERO;
xd_dev = wd_dev = idd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
wd_dev = NV_DATA_DEV_OMPDEV(w);
idd_dev = NV_DATA_DEV_OMPDEV(id);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) map(tofrom:sum) is_device_ptr(xd_dev, wd_dev, idd_dev) device(dev)
#pragma omp teams distribute parallel for reduction(+:sum) schedule(static, 1)
for (i = 0; i < N; i++) {
if (idd_dev[i] > ZERO) {
sum += SUNSQR(xd_dev[i]*wd_dev[i]);
}
}
return(sum);
}
/* ----------------------------------------------------------------------------
* Finds the minimun component of a vector
*/
realtype N_VMin_OpenMPDEV(N_Vector x)
{
sunindextype i, N;
realtype min, *xd_dev;
int dev;
xd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) map(from:min) is_device_ptr(xd_dev) device(dev)
#pragma omp teams num_teams(1)
{
min = xd_dev[0];
#pragma omp distribute parallel for reduction(min:min) schedule(static, 1)
for (i = 1; i < N; i++) {
min = SUNMIN(xd_dev[i], min);
}
}
return(min);
}
/* ----------------------------------------------------------------------------
* Computes weighted L2 norm of a vector
*/
realtype N_VWL2Norm_OpenMPDEV(N_Vector x, N_Vector w)
{
sunindextype i, N;
realtype sum, *xd_dev, *wd_dev;
int dev;
sum = ZERO;
xd_dev = wd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
wd_dev = NV_DATA_DEV_OMPDEV(w);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) map(tofrom:sum) is_device_ptr(xd_dev, wd_dev) device(dev)
#pragma omp teams distribute parallel for reduction(+:sum) schedule(static, 1)
for (i = 0; i < N; i++) {
sum += SUNSQR(xd_dev[i]*wd_dev[i]);
}
return(SUNRsqrt(sum));
}
/* ----------------------------------------------------------------------------
* Computes L1 norm of a vector
*/
realtype N_VL1Norm_OpenMPDEV(N_Vector x)
{
sunindextype i, N;
realtype sum, *xd_dev;
int dev;
sum = ZERO;
xd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) map(tofrom:sum) is_device_ptr(xd_dev) device(dev)
#pragma omp teams distribute parallel for reduction(+:sum) schedule(static, 1)
for (i = 0; i<N; i++)
sum += SUNRabs(xd_dev[i]);
return(sum);
}
/* ----------------------------------------------------------------------------
* Compare vector component values to a scaler
*/
void N_VCompare_OpenMPDEV(realtype c, N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *zd_dev;
int dev;
xd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,c) is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = (SUNRabs(xd_dev[i]) >= c) ? ONE : ZERO;
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise inverse z[i] = ONE/x[i] and checks if x[i] == ZERO
*/
booleantype N_VInvTest_OpenMPDEV(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *zd_dev, val;
int dev;
xd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
val = ZERO;
#pragma omp target map(to:N) map(tofrom:val) is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for reduction(max:val) schedule(static, 1)
for (i = 0; i < N; i++) {
if (xd_dev[i] == ZERO)
val = ONE;
else
zd_dev[i] = ONE/xd_dev[i];
}
if (val > ZERO)
return (SUNFALSE);
else
return (SUNTRUE);
}
/* ----------------------------------------------------------------------------
* Compute constraint mask of a vector
*/
booleantype N_VConstrMask_OpenMPDEV(N_Vector c, N_Vector x, N_Vector m)
{
sunindextype i, N;
realtype temp;
realtype *cd_dev, *xd_dev, *md_dev;
int dev;
cd_dev = xd_dev = md_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
cd_dev = NV_DATA_DEV_OMPDEV(c);
md_dev = NV_DATA_DEV_OMPDEV(m);
/* get default device identifier */
dev = omp_get_default_device();
temp = ONE;
#pragma omp target map(to:N) map(tofrom:temp) is_device_ptr(xd_dev, cd_dev, md_dev) device(dev)
#pragma omp teams distribute parallel for reduction(min:temp) schedule(static, 1)
for (i = 0; i < N; i++) {
md_dev[i] = ZERO;
if (cd_dev[i] == ZERO) continue;
if (cd_dev[i] > ONEPT5 || cd_dev[i] < -ONEPT5) {
if ( xd_dev[i]*cd_dev[i] <= ZERO) { temp = ZERO; md_dev[i] = ONE; }
continue;
}
if ( cd_dev[i] > HALF || cd_dev[i] < -HALF) {
if (xd_dev[i]*cd_dev[i] < ZERO ) { temp = ZERO; md_dev[i] = ONE; }
}
}
if (temp == ONE) return (SUNTRUE);
else return(SUNFALSE);
}
/* ----------------------------------------------------------------------------
* Compute minimum componentwise quotient
*/
realtype N_VMinQuotient_OpenMPDEV(N_Vector num, N_Vector denom)
{
sunindextype i, N;
realtype *nd_dev, *dd_dev, min;
int dev;
nd_dev = dd_dev = NULL;
N = NV_LENGTH_OMPDEV(num);
nd_dev = NV_DATA_DEV_OMPDEV(num);
dd_dev = NV_DATA_DEV_OMPDEV(denom);
/* get default device identifier */
dev = omp_get_default_device();
min = BIG_REAL;
#pragma omp target map(to:N) map(tofrom:min) is_device_ptr(nd_dev, dd_dev) device(dev)
#pragma omp teams distribute parallel for reduction(min:min) schedule(static, 1)
for (i = 0; i < N; i++)
if (dd_dev[i] != ZERO) min = SUNMIN(nd_dev[i]/dd_dev[i], min);
return(min);
}
/*
* -----------------------------------------------------------------
* fused vector operations
* -----------------------------------------------------------------
*/
int N_VLinearCombination_OpenMPDEV(int nvec, realtype* c, N_Vector* X, N_Vector z)
{
int i, dev;
realtype to_add; /* temporary variable to hold sum being added in atomic operation */
sunindextype j, N;
realtype* zd_dev=NULL;
realtype* xd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VScale */
if (nvec == 1) {
N_VScale_OpenMPDEV(c[0], X[0], z);
return(0);
}
/* should have called N_VLinearSum */
if (nvec == 2) {
N_VLinearSum_OpenMPDEV(c[0], X[0], c[1], X[1], z);
return(0);
}
/* get vector length and data array */
N = NV_LENGTH_OMPDEV(z);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store X dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
/*
* X[0] += c[i]*X[i], i = 1,...,nvec-1
*/
if ((X[0] == z) && (c[0] == ONE)) {
#pragma omp target map(to:N,nvec,c[:nvec],xd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=1; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++) {
to_add = c[i] * xd_dev[j];
#pragma omp atomic
zd_dev[j] += to_add;
}
}
}
free(xd_dev_ptrs);
return(0);
}
/*
* X[0] = c[0] * X[0] + sum{ c[i] * X[i] }, i = 1,...,nvec-1
*/
if (X[0] == z) {
#pragma omp target map(to:N,nvec,c[:nvec],xd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,zd_dev)
{
#pragma omp teams distribute parallel for schedule(static,1)
for (j=0; j<N; j++)
zd_dev[j] *= c[0];
}
#pragma omp target map(to:N,nvec,c[:nvec],xd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,zd_dev)
#pragma omp teams distribute
{
for (i=1; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++) {
to_add = c[i] * xd_dev[j];
#pragma omp atomic
zd_dev[j] += to_add;
}
}
}
free(xd_dev_ptrs);
return(0);
}
/*
* z = sum{ c[i] * X[i] }, i = 0,...,nvec-1
*/
xd_dev = NV_DATA_DEV_OMPDEV(X[0]);
#pragma omp target map(to:N,c[:nvec]) \
is_device_ptr(xd_dev, zd_dev) device(dev)
{
#pragma omp teams distribute parallel for schedule(static, 1)
for (j=0; j<N; j++) {
zd_dev[j] = c[0] * xd_dev[j];
}
}
#pragma omp target map(to:N,nvec,c[:nvec],xd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=1; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++) {
to_add = c[i] * xd_dev[j];
#pragma omp atomic
zd_dev[j] += to_add;
}
}
}
free(xd_dev_ptrs);
return(0);
}
int N_VScaleAddMulti_OpenMPDEV(int nvec, realtype* a, N_Vector x, N_Vector* Y, N_Vector* Z)
{
int i, dev;
sunindextype j, N;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype* zd_dev=NULL;
realtype** yd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VLinearSum */
if (nvec == 1) {
N_VLinearSum_OpenMPDEV(a[0], x, ONE, Y[0], Z[0]);
return(0);
}
/* get vector length and data array */
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
/*
* Y[i][j] += a[i] * x[j]
*/
if (Y == Z) {
#pragma omp target map(to:N,nvec,a[:nvec],yd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev, yd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
yd_dev = yd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
yd_dev[j] += a[i] * xd_dev[j];
}
}
free(yd_dev_ptrs);
return(0);
}
/* Allocate and store dev pointers to copy to device */
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
/*
* Z[i][j] = Y[i][j] + a[i] * x[j]
*/
#pragma omp target map(to:N,nvec,a[:nvec],yd_dev_ptrs[:nvec],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
yd_dev = yd_dev_ptrs[i];
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = a[i] * xd_dev[j] + yd_dev[j];
}
}
free(yd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
int N_VDotProdMulti_OpenMPDEV(int nvec, N_Vector x, N_Vector* Y, realtype* dotprods)
{
int i, dev;
sunindextype j, N;
realtype sum;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype** yd_dev_ptrs=NULL;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VDotProd */
if (nvec == 1) {
dotprods[0] = N_VDotProd_OpenMPDEV(x, Y[0]);
return(0);
}
/* get vector length and data array */
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
/* get default device identifier */
dev = omp_get_default_device();
/* initialize dot products */
for (i=0; i<nvec; i++) {
dotprods[i] = ZERO;
}
/* Allocate and store dev pointers to copy to device */
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
/* compute multiple dot products */
#pragma omp target map(to:N,nvec,yd_dev_ptrs[:nvec]) map(tofrom:dotprods[:nvec]) \
is_device_ptr(xd_dev,yd_dev) device(dev)
#pragma omp teams distribute
for (i=0; i<nvec; i++) {
yd_dev = yd_dev_ptrs[i];
sum = ZERO;
#pragma omp parallel for reduction(+:sum) schedule(static, 1)
for (j=0; j<N; j++)
sum += xd_dev[j] * yd_dev[j];
dotprods[i] += sum;
}
free(yd_dev_ptrs);
return(0);
}
/*
* -----------------------------------------------------------------
* vector array operations
* -----------------------------------------------------------------
*/
int N_VLinearSumVectorArray_OpenMPDEV(int nvec,
realtype a, N_Vector* X,
realtype b, N_Vector* Y,
N_Vector* Z)
{
int i, dev;
sunindextype j, N;
N_Vector* V1;
N_Vector* V2;
booleantype test;
realtype c;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype* zd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** yd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VLinearSum */
if (nvec == 1) {
N_VLinearSum_OpenMPDEV(a, X[0], b, Y[0], Z[0]);
return(0);
}
/* BLAS usage: axpy y <- ax+y */
if ((b == ONE) && (Z == Y))
return(VaxpyVectorArray_OpenMPDEV(nvec, a, X, Y));
/* BLAS usage: axpy x <- by+x */
if ((a == ONE) && (Z == X))
return(VaxpyVectorArray_OpenMPDEV(nvec, b, Y, X));
/* Case: a == b == 1.0 */
if ((a == ONE) && (b == ONE))
return(VSumVectorArray_OpenMPDEV(nvec, X, Y, Z));
/* Cases: */
/* (1) a == 1.0, b = -1.0, */
/* (2) a == -1.0, b == 1.0 */
if ((test = ((a == ONE) && (b == -ONE))) || ((a == -ONE) && (b == ONE))) {
V1 = test ? Y : X;
V2 = test ? X : Y;
return(VDiffVectorArray_OpenMPDEV(nvec, V2, V1, Z));
}
/* Cases: */
/* (1) a == 1.0, b == other or 0.0, */
/* (2) a == other or 0.0, b == 1.0 */
/* if a or b is 0.0, then user should have called N_VScale */
if ((test = (a == ONE)) || (b == ONE)) {
c = test ? b : a;
V1 = test ? Y : X;
V2 = test ? X : Y;
return(VLin1VectorArray_OpenMPDEV(nvec, c, V1, V2, Z));
}
/* Cases: */
/* (1) a == -1.0, b != 1.0, */
/* (2) a != 1.0, b == -1.0 */
if ((test = (a == -ONE)) || (b == -ONE)) {
c = test ? b : a;
V1 = test ? Y : X;
V2 = test ? X : Y;
return(VLin2VectorArray_OpenMPDEV(nvec, c, V1, V2, Z));
}
/* Case: a == b */
/* catches case both a and b are 0.0 - user should have called N_VConst */
if (a == b)
return(VScaleSumVectorArray_OpenMPDEV(nvec, a, X, Y, Z));
/* Case: a == -b */
if (a == -b)
return(VScaleDiffVectorArray_OpenMPDEV(nvec, a, X, Y, Z));
/* Do all cases not handled above: */
/* (1) a == other, b == 0.0 - user should have called N_VScale */
/* (2) a == 0.0, b == other - user should have called N_VScale */
/* (3) a,b == other, a !=b, a != -b */
/* get vector length */
N = NV_LENGTH_OMPDEV(Z[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
/* compute linear sum for each vector pair in vector arrays */
#pragma omp target map(to:N,nvec,a,b,xd_dev_ptrs[:nvec], yd_dev_ptrs[:nvec],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = a * xd_dev[j] + b * yd_dev[j];
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
int N_VScaleVectorArray_OpenMPDEV(int nvec, realtype* c, N_Vector* X, N_Vector* Z)
{
int i, dev;
sunindextype j, N;
realtype* xd_dev=NULL;
realtype* zd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VScale */
if (nvec == 1) {
N_VScale_OpenMPDEV(c[0], X[0], Z[0]);
return(0);
}
/* get vector length */
N = NV_LENGTH_OMPDEV(Z[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++) {
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
}
/*
* X[i] *= c[i]
*/
if (X == Z) {
#pragma omp target map(to:N,nvec,c[:nvec],xd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
xd_dev[j] *= c[i];
}
}
free(xd_dev_ptrs);
return(0);
}
/* Allocate and store dev pointers to copy to device */
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
/*
* Z[i] = c[i] * X[i]
*/
#pragma omp target map(to:N,nvec,c[:nvec],xd_dev_ptrs[:nvec],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = c[i] * xd_dev[j];
}
}
free(xd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
int N_VConstVectorArray_OpenMPDEV(int nvec, realtype c, N_Vector* Z)
{
int i, dev;
sunindextype j, N;
realtype* zd_dev=NULL;
realtype** zd_dev_ptrs=NULL;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VConst */
if (nvec == 1) {
N_VConst_OpenMPDEV(c, Z[0]);
return(0);
}
/* get vector length */
N = NV_LENGTH_OMPDEV(Z[0]);
/* get device */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
/* set each vector in the vector array to a constant */
#pragma omp target map(to:N,nvec,zd_dev_ptrs[:nvec]) \
is_device_ptr(zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = c;
}
}
free(zd_dev_ptrs);
return(0);
}
int N_VWrmsNormVectorArray_OpenMPDEV(int nvec, N_Vector* X, N_Vector* W, realtype* nrm)
{
int i, dev;
sunindextype j, N;
realtype sum;
realtype* wd_dev=NULL;
realtype* xd_dev=NULL;
realtype** wd_dev_ptrs=NULL;
realtype** xd_dev_ptrs=NULL;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VWrmsNorm */
if (nvec == 1) {
nrm[0] = N_VWrmsNorm_OpenMPDEV(X[0], W[0]);
return(0);
}
/* get vector length */
N = NV_LENGTH_OMPDEV(X[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* initialize norms */
for (i=0; i<nvec; i++)
nrm[i] = ZERO;
/* Allocate and store dev pointers to copy to device */
wd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
wd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(W[i]);
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
/* compute the WRMS norm for each vector in the vector array */
#pragma omp target map(to:N,nvec,xd_dev_ptrs[:nvec],wd_dev_ptrs[:nvec]) map(tofrom:nrm[:nvec]) \
is_device_ptr(xd_dev, wd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
wd_dev = wd_dev_ptrs[i];
sum = ZERO;
#pragma omp parallel for reduction(+:sum) schedule(static, 1)
{
for (j=0; j<N; j++)
sum += SUNSQR(xd_dev[j] * wd_dev[j]);
}
nrm[i] = SUNRsqrt(sum/N);
}
}
free(wd_dev_ptrs);
free(xd_dev_ptrs);
return(0);
}
int N_VWrmsNormMaskVectorArray_OpenMPDEV(int nvec, N_Vector* X, N_Vector* W,
N_Vector id, realtype* nrm)
{
int i, dev;
sunindextype j, N;
realtype sum;
realtype* wd_dev=NULL;
realtype* xd_dev=NULL;
realtype* idd_dev=NULL;
realtype** wd_dev_ptrs=NULL;
realtype** xd_dev_ptrs=NULL;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VWrmsNorm */
if (nvec == 1) {
nrm[0] = N_VWrmsNormMask_OpenMPDEV(X[0], W[0], id);
return(0);
}
/* get vector length and mask data array */
N = NV_LENGTH_OMPDEV(X[0]);
idd_dev = NV_DATA_DEV_OMPDEV(id);
/* get default device identifier */
dev = omp_get_default_device();
/* initialize norms */
for (i=0; i<nvec; i++)
nrm[i] = ZERO;
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
wd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++)
wd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(W[i]);
/* compute the WRMS norm for each vector in the vector array */
#pragma omp target map(to:N,nvec,xd_dev_ptrs[:nvec],wd_dev_ptrs[:nvec]) map(tofrom:nrm[:nvec]) \
is_device_ptr(idd_dev,xd_dev,wd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
wd_dev = wd_dev_ptrs[i];
sum = ZERO;
#pragma omp parallel for reduction(+:sum) schedule(static, 1)
{
for (j=0; j<N; j++) {
if (idd_dev[j] > ZERO)
sum += SUNSQR(xd_dev[j] * wd_dev[j]);
}
}
nrm[i] = SUNRsqrt(sum/N);
}
}
free(xd_dev_ptrs);
free(wd_dev_ptrs);
return(0);
}
int N_VScaleAddMultiVectorArray_OpenMPDEV(int nvec, int nsum, realtype* a,
N_Vector* X, N_Vector** Y, N_Vector** Z)
{
int i, j, dev;
sunindextype k, N;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype* zd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** yd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
int retval;
N_Vector* YY;
N_Vector* ZZ;
/* invalid number of vectors */
if (nvec < 1) return(-1);
if (nsum < 1) return(-1);
/* ---------------------------
* Special cases for nvec == 1
* --------------------------- */
if (nvec == 1) {
/* should have called N_VLinearSum */
if (nsum == 1) {
N_VLinearSum_OpenMPDEV(a[0], X[0], ONE, Y[0][0], Z[0][0]);
return(0);
}
/* should have called N_VScaleAddMulti */
YY = (N_Vector *) malloc(nsum * sizeof(N_Vector));
ZZ = (N_Vector *) malloc(nsum * sizeof(N_Vector));
for (j=0; j<nsum; j++) {
YY[j] = Y[j][0];
ZZ[j] = Z[j][0];
}
retval = N_VScaleAddMulti_OpenMPDEV(nsum, a, X[0], YY, ZZ);
free(YY);
free(ZZ);
return(retval);
}
/* --------------------------
* Special cases for nvec > 1
* -------------------------- */
/* should have called N_VLinearSumVectorArray */
if (nsum == 1) {
retval = N_VLinearSumVectorArray_OpenMPDEV(nvec, a[0], X, ONE, Y[0], Z[0]);
return(retval);
}
/* ----------------------------
* Compute multiple linear sums
* ---------------------------- */
/* get vector length */
N = NV_LENGTH_OMPDEV(X[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
yd_dev_ptrs = (realtype**) malloc(nvec * nsum * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++) {
for (j=0; j<nsum; j++)
yd_dev_ptrs[i * nsum + j] = NV_DATA_DEV_OMPDEV(Y[j][i]);
}
/*
* Y[i][j] += a[i] * x[j]
*/
if (Y == Z) {
#pragma omp target map(to:N,nvec,nsum,a[:nsum],xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec*nsum]) \
is_device_ptr(xd_dev, yd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
for (j=0; j<nsum; j++) {
yd_dev = yd_dev_ptrs[i*nsum+j];
#pragma omp parallel for schedule(static, 1)
for (k=0; k<N; k++)
yd_dev[k] += a[j] * xd_dev[k];
}
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
return(0);
}
/* Allocate and store dev pointers to copy to device */
zd_dev_ptrs = (realtype**) malloc(nvec * nsum * sizeof(realtype*));
for (i=0; i<nvec; i++) {
for (j=0; j<nsum; j++)
zd_dev_ptrs[i * nsum + j] = NV_DATA_DEV_OMPDEV(Z[j][i]);
}
/*
* Z[i][j] = Y[i][j] + a[i] * x[j]
*/
#pragma omp target map(to:N,nvec,nsum,a[:nsum],xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec*nsum],zd_dev_ptrs[:nvec*nsum]) \
is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
for (j=0; j<nsum; j++) {
yd_dev = yd_dev_ptrs[i*nsum+j];
zd_dev = zd_dev_ptrs[i*nsum+j];
#pragma omp parallel for schedule(static, 1)
for (k=0; k<N; k++)
zd_dev[k] = a[j] * xd_dev[k] + yd_dev[k];
}
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
int N_VLinearCombinationVectorArray_OpenMPDEV(int nvec, int nsum,
realtype* c,
N_Vector** X,
N_Vector* Z)
{
int i; /* vector arrays index in summation [0,nsum) */
int j; /* vector index in vector array [0,nvec) */
sunindextype k; /* element index in vector [0,N) */
sunindextype N;
realtype* zd_dev=NULL;
realtype* xd_dev=NULL;
realtype** zd_dev_ptrs=NULL;
realtype** xd_dev_ptrs=NULL;
int dev;
realtype* ctmp;
N_Vector* Y;
/* invalid number of vectors */
if (nvec < 1) return(-1);
if (nsum < 1) return(-1);
/* ---------------------------
* Special cases for nvec == 1
* --------------------------- */
if (nvec == 1) {
/* should have called N_VScale */
if (nsum == 1) {
N_VScale_OpenMPDEV(c[0], X[0][0], Z[0]);
return(0);
}
/* should have called N_VLinearSum */
if (nsum == 2) {
N_VLinearSum_OpenMPDEV(c[0], X[0][0], c[1], X[1][0], Z[0]);
return(0);
}
/* should have called N_VLinearCombination */
Y = (N_Vector *) malloc(nsum * sizeof(N_Vector));
for (i=0; i<nsum; i++) {
Y[i] = X[i][0];
}
N_VLinearCombination_OpenMPDEV(nsum, c, Y, Z[0]);
free(Y);
return(0);
}
/* --------------------------
* Special cases for nvec > 1
* -------------------------- */
/* should have called N_VScaleVectorArray */
if (nsum == 1) {
ctmp = (realtype*) malloc(nvec * sizeof(realtype));
for (j=0; j<nvec; j++) {
ctmp[j] = c[0];
}
N_VScaleVectorArray_OpenMPDEV(nvec, ctmp, X[0], Z);
free(ctmp);
return(0);
}
/* should have called N_VLinearSumVectorArray */
if (nsum == 2) {
N_VLinearSumVectorArray_OpenMPDEV(nvec, c[0], X[0], c[1], X[1], Z);
return(0);
}
/* --------------------------
* Compute linear combination
* -------------------------- */
/* get vector length */
N = NV_LENGTH_OMPDEV(Z[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
xd_dev_ptrs = (realtype**) malloc(nvec * nsum * sizeof(realtype*));
for (j=0; j<nvec; j++)
zd_dev_ptrs[j] = NV_DATA_DEV_OMPDEV(Z[j]);
for (j=0; j<nvec; j++) {
for (i=0; i<nsum; i++)
xd_dev_ptrs[j * nsum + i] = NV_DATA_DEV_OMPDEV(X[i][j]);
}
/*
* X[0][j] += c[i]*X[i][j], i = 1,...,nvec-1
*/
if ((X[0] == Z) && (c[0] == ONE)) {
#pragma omp target map(to:N,nvec,c[:nsum],xd_dev_ptrs[:nvec*nsum],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute
{
for (j=0; j<nvec; j++) {
zd_dev = zd_dev_ptrs[j];
for (i=1; i<nsum; i++) {
xd_dev = xd_dev_ptrs[j*nsum+i];
#pragma omp parallel for schedule(static, 1)
for (k=0; k<N; k++)
zd_dev[k] += c[i] * xd_dev[k];
}
}
}
free(xd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
/*
* X[0][j] = c[0] * X[0][j] + sum{ c[i] * X[i][j] }, i = 1,...,nvec-1
*/
if (X[0] == Z) {
#pragma omp target map(to:N,nvec,c[:nsum],xd_dev_ptrs[:nvec*nsum],zd_dev_ptrs[:nvec]) \
is_device_ptr(zd_dev) device(dev)
#pragma omp teams distribute
{
for (j=0; j<nvec; j++) {
zd_dev = zd_dev_ptrs[j];
#pragma omp parallel for schedule(static, 1)
for (k=0; k<N; k++)
zd_dev[k] *= c[0];
for (i=1; i<nsum; i++) {
xd_dev = xd_dev_ptrs[j*nsum+i];
#pragma omp parallel for schedule(static, 1)
for (k=0; k<N; k++)
zd_dev[k] += c[i] * xd_dev[k];
}
}
}
free(xd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
/*
* Z[j] = sum{ c[i] * X[i][j] }, i = 0,...,nvec-1
*/
#pragma omp target map(to:N,nvec,c[:nsum],xd_dev_ptrs[:nvec*nsum],zd_dev_ptrs[:nvec]) \
is_device_ptr(zd_dev) device(dev)
#pragma omp teams distribute
{
for (j=0; j<nvec; j++) {
/* scale first vector in the sum into the output vector */
xd_dev = xd_dev_ptrs[j*nsum];
zd_dev = zd_dev_ptrs[j];
#pragma omp parallel for schedule(static, 1)
for (k=0; k<N; k++)
zd_dev[k] = c[0] * xd_dev[k];
/* scale and sum remaining vectors into the output vector */
for (i=1; i<nsum; i++) {
xd_dev = xd_dev_ptrs[j*nsum+i];
#pragma omp parallel for schedule(static, 1)
for (k=0; k<N; k++)
zd_dev[k] += c[i] * xd_dev[k];
}
}
}
free(xd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
/*
* -----------------------------------------------------------------
* private functions
* -----------------------------------------------------------------
*/
/* ----------------------------------------------------------------------------
* Copy vector components into a second vector
*/
static void VCopy_OpenMPDEV(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *zd_dev;
int dev;
xd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = xd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute vector sum
*/
static void VSum_OpenMPDEV(N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *yd_dev, *zd_dev;
int dev;
xd_dev = yd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = xd_dev[i]+yd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute vector difference
*/
static void VDiff_OpenMPDEV(N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *yd_dev, *zd_dev;
int dev;
xd_dev = yd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = xd_dev[i]-yd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute the negative of a vector
*/
static void VNeg_OpenMPDEV(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *zd_dev;
int dev;
xd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N) is_device_ptr(xd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = -xd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute scaled vector sum
*/
static void VScaleSum_OpenMPDEV(realtype c, N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *yd_dev, *zd_dev;
int dev;
xd_dev = yd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,c) is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = c*(xd_dev[i]+yd_dev[i]);
return;
}
/* ----------------------------------------------------------------------------
* Compute scaled vector difference
*/
static void VScaleDiff_OpenMPDEV(realtype c, N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *yd_dev, *zd_dev;
int dev;
xd_dev = yd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,c) is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = c*(xd_dev[i]-yd_dev[i]);
return;
}
/* ----------------------------------------------------------------------------
* Compute vector sum z[i] = a*x[i]+y[i]
*/
static void VLin1_OpenMPDEV(realtype a, N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *yd_dev, *zd_dev;
int dev;
xd_dev = yd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,a) is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = (a*xd_dev[i])+yd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute vector difference z[i] = a*x[i]-y[i]
*/
static void VLin2_OpenMPDEV(realtype a, N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd_dev, *yd_dev, *zd_dev;
int dev;
xd_dev = yd_dev = zd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
zd_dev = NV_DATA_DEV_OMPDEV(z);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,a) is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
zd_dev[i] = (a*xd_dev[i])-yd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute special cases of linear sum
*/
static void Vaxpy_OpenMPDEV(realtype a, N_Vector x, N_Vector y)
{
sunindextype i, N;
realtype *xd_dev, *yd_dev;
int dev;
xd_dev = yd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
yd_dev = NV_DATA_DEV_OMPDEV(y);
/* get default device identifier */
dev = omp_get_default_device();
if (a == ONE) {
#pragma omp target map(to:N) is_device_ptr(xd_dev, yd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
yd_dev[i] += xd_dev[i];
return;
}
if (a == -ONE) {
#pragma omp target map(to:N) is_device_ptr(xd_dev, yd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
yd_dev[i] -= xd_dev[i];
return;
}
#pragma omp target map(to:N,a) is_device_ptr(xd_dev, yd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
yd_dev[i] += a*xd_dev[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute scaled vector x[i] = a*x[i]
*/
static void VScaleBy_OpenMPDEV(realtype a, N_Vector x)
{
sunindextype i, N;
realtype *xd_dev;
int dev;
xd_dev = NULL;
N = NV_LENGTH_OMPDEV(x);
xd_dev = NV_DATA_DEV_OMPDEV(x);
/* get default device identifier */
dev = omp_get_default_device();
#pragma omp target map(to:N,a) is_device_ptr(xd_dev) device(dev)
#pragma omp teams distribute parallel for schedule(static, 1)
for (i = 0; i < N; i++)
xd_dev[i] *= a;
return;
}
/*
* -----------------------------------------------------------------
* private functions for special cases of vector array operations
* -----------------------------------------------------------------
*/
static int VSumVectorArray_OpenMPDEV(int nvec, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i, dev;
sunindextype j, N;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype* zd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** yd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
N = NV_LENGTH_OMPDEV(X[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
#pragma omp target map(to:N,xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev, yd_dev, zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = xd_dev[j] + yd_dev[j];
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
static int VDiffVectorArray_OpenMPDEV(int nvec, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i, dev;
sunindextype j, N;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype* zd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** yd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
N = NV_LENGTH_OMPDEV(X[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
#pragma omp target map(to:N,xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,yd_dev,zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = xd_dev[j] - yd_dev[j];
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
static int VScaleSumVectorArray_OpenMPDEV(int nvec, realtype c, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i, dev;
sunindextype j, N;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype* zd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** yd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
N = NV_LENGTH_OMPDEV(X[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
#pragma omp target map(to:N,xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,yd_dev,zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = c * (xd_dev[j] + yd_dev[j]);
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
static int VScaleDiffVectorArray_OpenMPDEV(int nvec, realtype c, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i, dev;
sunindextype j, N;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype* zd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** yd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
N = NV_LENGTH_OMPDEV(X[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev ointer to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
#pragma omp target map(to:N,xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,yd_dev,zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = c * (xd_dev[j] - yd_dev[j]);
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
static int VLin1VectorArray_OpenMPDEV(int nvec, realtype a, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i, dev;
sunindextype j, N;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype* zd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** yd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
N = NV_LENGTH_OMPDEV(X[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
#pragma omp target map(to:N,xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,yd_dev,zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = (a * xd_dev[j]) + yd_dev[j];
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
static int VLin2VectorArray_OpenMPDEV(int nvec, realtype a, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i, dev;
sunindextype j, N;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype* zd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** yd_dev_ptrs=NULL;
realtype** zd_dev_ptrs=NULL;
N = NV_LENGTH_OMPDEV(X[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
zd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
for (i=0; i<nvec; i++)
zd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Z[i]);
#pragma omp target map(to:N,xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec],zd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,yd_dev,zd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
zd_dev = zd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
zd_dev[j] = (a * xd_dev[j]) - yd_dev[j];
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
free(zd_dev_ptrs);
return(0);
}
static int VaxpyVectorArray_OpenMPDEV(int nvec, realtype a, N_Vector* X, N_Vector* Y)
{
int i, dev;
sunindextype j, N;
realtype* xd_dev=NULL;
realtype* yd_dev=NULL;
realtype** xd_dev_ptrs=NULL;
realtype** yd_dev_ptrs=NULL;
N = NV_LENGTH_OMPDEV(X[0]);
/* get default device identifier */
dev = omp_get_default_device();
/* Allocate and store dev pointers to copy to device */
xd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
yd_dev_ptrs = (realtype**) malloc(nvec * sizeof(realtype*));
for (i=0; i<nvec; i++)
xd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(X[i]);
for (i=0; i<nvec; i++)
yd_dev_ptrs[i] = NV_DATA_DEV_OMPDEV(Y[i]);
if (a == ONE) {
#pragma omp target map(to:N,xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,yd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
yd_dev[j] += xd_dev[j];
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
return(0);
}
if (a == -ONE) {
#pragma omp target map(to:N,xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,yd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
yd_dev[j] -= xd_dev[j];
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
return(0);
}
#pragma omp target map(to:N,xd_dev_ptrs[:nvec],yd_dev_ptrs[:nvec]) \
is_device_ptr(xd_dev,yd_dev) device(dev)
#pragma omp teams distribute
{
for (i=0; i<nvec; i++) {
xd_dev = xd_dev_ptrs[i];
yd_dev = yd_dev_ptrs[i];
#pragma omp parallel for schedule(static, 1)
for (j=0; j<N; j++)
yd_dev[j] += a * xd_dev[j];
}
}
free(xd_dev_ptrs);
free(yd_dev_ptrs);
return(0);
}
/*
* -----------------------------------------------------------------
* Enable / Disable fused and vector array operations
* -----------------------------------------------------------------
*/
int N_VEnableFusedOps_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
if (tf) {
/* enable all fused vector operations */
v->ops->nvlinearcombination = N_VLinearCombination_OpenMPDEV;
v->ops->nvscaleaddmulti = N_VScaleAddMulti_OpenMPDEV;
v->ops->nvdotprodmulti = N_VDotProdMulti_OpenMPDEV;
/* enable all vector array operations */
v->ops->nvlinearsumvectorarray = N_VLinearSumVectorArray_OpenMPDEV;
v->ops->nvscalevectorarray = N_VScaleVectorArray_OpenMPDEV;
v->ops->nvconstvectorarray = N_VConstVectorArray_OpenMPDEV;
v->ops->nvwrmsnormvectorarray = N_VWrmsNormVectorArray_OpenMPDEV;
v->ops->nvwrmsnormmaskvectorarray = N_VWrmsNormMaskVectorArray_OpenMPDEV;
v->ops->nvscaleaddmultivectorarray = N_VScaleAddMultiVectorArray_OpenMPDEV;
v->ops->nvlinearcombinationvectorarray = N_VLinearCombinationVectorArray_OpenMPDEV;
} else {
/* disable all fused vector operations */
v->ops->nvlinearcombination = NULL;
v->ops->nvscaleaddmulti = NULL;
v->ops->nvdotprodmulti = NULL;
/* disable all vector array operations */
v->ops->nvlinearsumvectorarray = NULL;
v->ops->nvscalevectorarray = NULL;
v->ops->nvconstvectorarray = NULL;
v->ops->nvwrmsnormvectorarray = NULL;
v->ops->nvwrmsnormmaskvectorarray = NULL;
v->ops->nvscaleaddmultivectorarray = NULL;
v->ops->nvlinearcombinationvectorarray = NULL;
}
/* return success */
return(0);
}
int N_VEnableLinearCombination_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvlinearcombination = N_VLinearCombination_OpenMPDEV;
else
v->ops->nvlinearcombination = NULL;
/* return success */
return(0);
}
int N_VEnableScaleAddMulti_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvscaleaddmulti = N_VScaleAddMulti_OpenMPDEV;
else
v->ops->nvscaleaddmulti = NULL;
/* return success */
return(0);
}
int N_VEnableDotProdMulti_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvdotprodmulti = N_VDotProdMulti_OpenMPDEV;
else
v->ops->nvdotprodmulti = NULL;
/* return success */
return(0);
}
int N_VEnableLinearSumVectorArray_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvlinearsumvectorarray = N_VLinearSumVectorArray_OpenMPDEV;
else
v->ops->nvlinearsumvectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableScaleVectorArray_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvscalevectorarray = N_VScaleVectorArray_OpenMPDEV;
else
v->ops->nvscalevectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableConstVectorArray_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvconstvectorarray = N_VConstVectorArray_OpenMPDEV;
else
v->ops->nvconstvectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableWrmsNormVectorArray_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvwrmsnormvectorarray = N_VWrmsNormVectorArray_OpenMPDEV;
else
v->ops->nvwrmsnormvectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableWrmsNormMaskVectorArray_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvwrmsnormmaskvectorarray = N_VWrmsNormMaskVectorArray_OpenMPDEV;
else
v->ops->nvwrmsnormmaskvectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableScaleAddMultiVectorArray_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvscaleaddmultivectorarray = N_VScaleAddMultiVectorArray_OpenMPDEV;
else
v->ops->nvscaleaddmultivectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableLinearCombinationVectorArray_OpenMPDEV(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvlinearcombinationvectorarray = N_VLinearCombinationVectorArray_OpenMPDEV;
else
v->ops->nvlinearcombinationvectorarray = NULL;
/* return success */
return(0);
}
|
threadpool.h | /* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
/* Modifications Copyright (c) Microsoft. */
#pragma once
#include <string>
#include <vector>
#include <functional>
#include <memory>
#include "core/common/common.h"
#include "core/platform/env.h"
#include "core/common/optional.h"
#include <functional>
#include <memory>
// This file use PIMPL to avoid having eigen headers here
namespace Eigen {
class Allocator;
class ThreadPoolInterface;
} // namespace Eigen
namespace onnxruntime {
struct TensorOpCost {
double bytes_loaded;
double bytes_stored;
double compute_cycles;
};
template <typename Environment>
class ThreadPoolTempl;
namespace concurrency {
class ExtendedThreadPoolInterface;
class LoopCounter;
class ThreadPool {
public:
// Scheduling strategies for ParallelFor. The strategy governs how the given
// units of work are distributed among the available threads in the
// threadpool.
enum class SchedulingStrategy {
// The Adaptive scheduling strategy adaptively chooses the shard sizes based
// on the cost of each unit of work, and the cost model of the underlying
// threadpool device.
//
// The 'cost_per_unit' is an estimate of the number of CPU cycles (or
// nanoseconds if not CPU-bound) to complete a unit of work. Overestimating
// creates too many shards and CPU time will be dominated by per-shard
// overhead, such as Context creation. Underestimating may not fully make
// use of the specified parallelism, and may also cause inefficiencies due
// to load balancing issues and stragglers.
kAdaptive,
// The Fixed Block Size scheduling strategy shards the given units of work
// into shards of fixed size. In case the total number of units is not
// evenly divisible by 'block_size', at most one of the shards may be of
// smaller size. The exact number of shards may be found by a call to
// NumShardsUsedByFixedBlockSizeScheduling.
//
// Each shard may be executed on a different thread in parallel, depending
// on the number of threads available in the pool. Note that when there
// aren't enough threads in the pool to achieve full parallelism, function
// calls will be automatically queued.
kFixedBlockSize
};
// Contains additional parameters for either the Adaptive or the Fixed Block
// Size scheduling strategy.
class SchedulingParams {
public:
explicit SchedulingParams(SchedulingStrategy strategy, optional<int64_t> cost_per_unit,
optional<std::ptrdiff_t> block_size)
: strategy_(strategy), cost_per_unit_(cost_per_unit), block_size_(block_size) {
}
SchedulingStrategy strategy() const {
return strategy_;
}
optional<int64_t> cost_per_unit() const {
return cost_per_unit_;
}
optional<std::ptrdiff_t> block_size() const {
return block_size_;
}
private:
// The underlying Scheduling Strategy for which this instance contains
// additional parameters.
SchedulingStrategy strategy_;
// The estimated cost per unit of work in number of CPU cycles (or
// nanoseconds if not CPU-bound). Only applicable for Adaptive scheduling
// strategy.
optional<int64_t> cost_per_unit_;
// The block size of each shard. Only applicable for Fixed Block Size
// scheduling strategy.
optional<std::ptrdiff_t> block_size_;
};
#ifdef _WIN32
using NAME_CHAR_TYPE = wchar_t;
#else
using NAME_CHAR_TYPE = char;
#endif
// Constructs a pool for running with with "degree_of_parallelism" threads with
// specified "name". env->StartThread() is used to create individual threads
// with the given ThreadOptions. If "low_latency_hint" is true the thread pool
// implementation may use it as a hint that lower latency is preferred at the
// cost of higher CPU usage, e.g. by letting one or more idle threads spin
// wait. Conversely, if the threadpool is used to schedule high-latency
// operations like I/O the hint should be set to false.
//
// REQUIRES: degree_of_parallelism > 0
// The allocator parameter is only used for creating a Eigen::ThreadPoolDevice to be used with Eigen Tensor classes.
ThreadPool(Env* env,
const ThreadOptions& thread_options,
const NAME_CHAR_TYPE* name,
int degree_of_parallelism,
bool low_latency_hint);
// Waits until all scheduled work has finished and then destroy the
// set of threads.
~ThreadPool();
// Schedules fn() for execution in the pool of threads. The function may run
// synchronously if it cannot be enqueued. This will occur if the thread pool's
// degree-of-parallelism is 1, but it may also occur for implementation-dependent
// reasons such as if queues used for buffering work are full.
void Schedule(std::function<void()> fn);
// Returns the number of shards used by ParallelForFixedBlockSizeScheduling
// with these parameters.
int NumShardsUsedByFixedBlockSizeScheduling(std::ptrdiff_t total,
std::ptrdiff_t block_size) const;
// ParallelFor shards the "total" units of work assuming each unit of work
// having roughly "cost_per_unit" cost, in cycles. Each unit of work is
// indexed 0, 1, ..., total - 1. Each shard contains 1 or more units of work
// and the total cost of each shard is roughly the same.
//
// "cost_per_unit" is an estimate of the number of CPU cycles (or nanoseconds
// if not CPU-bound) to complete a unit of work. Overestimating creates too
// many shards and CPU time will be dominated by per-shard overhead, such as
// Context creation. Underestimating may not fully make use of the specified
// parallelism, and may also cause inefficiencies due to load balancing
// issues and stragglers.
void ParallelFor(std::ptrdiff_t total, double cost_per_unit,
const std::function<void(std::ptrdiff_t first, std::ptrdiff_t last)>& fn);
static void TryParallelFor(concurrency::ThreadPool* tp, std::ptrdiff_t total, double cost_per_unit,
const std::function<void(std::ptrdiff_t first, std::ptrdiff_t last)>& fn) {
TryParallelFor(tp, total, TensorOpCost{0, 0, static_cast<double>(cost_per_unit)}, fn);
}
void ParallelFor(std::ptrdiff_t total, const TensorOpCost& cost_per_unit,
const std::function<void(std::ptrdiff_t first, std::ptrdiff_t)>& fn);
static void TryParallelFor(concurrency::ThreadPool* tp, std::ptrdiff_t total, const TensorOpCost& cost_per_unit,
const std::function<void(std::ptrdiff_t first, std::ptrdiff_t last)>& fn) {
#ifdef _OPENMP
ORT_UNUSED_PARAMETER(cost_per_unit);
std::ptrdiff_t num_threads = concurrency::ThreadPool::DegreeOfParallelism(tp);
if (total < num_threads) {
num_threads = total;
}
#pragma omp parallel for
for (std::ptrdiff_t i = 0; i < num_threads; i++) {
auto work = PartitionWork(i, num_threads, total);
fn(work.start, work.end);
}
#else
if (tp == nullptr) {
fn(0, total);
return;
}
tp->ParallelFor(total, cost_per_unit, fn);
#endif
}
// Similar to ParallelFor above, but takes the specified scheduling strategy
// into account.
void ParallelFor(std::ptrdiff_t total, const SchedulingParams& scheduling_params,
const std::function<void(std::ptrdiff_t, std::ptrdiff_t)>& fn);
static void TryParallelFor(concurrency::ThreadPool* tp, std::ptrdiff_t total,
const SchedulingParams& scheduling_params,
const std::function<void(std::ptrdiff_t first, std::ptrdiff_t last)>& fn) {
#ifdef _OPENMP
ORT_UNUSED_PARAMETER(scheduling_params);
std::ptrdiff_t num_threads = concurrency::ThreadPool::DegreeOfParallelism(tp);
if (total < num_threads) {
num_threads = total;
}
#pragma omp parallel for
for (std::ptrdiff_t i = 0; i < num_threads; i++) {
auto work = PartitionWork(i, num_threads, total);
fn(work.start, work.end);
}
#else
if (tp == nullptr) {
fn(0, total);
return;
}
tp->ParallelFor(total, scheduling_params, fn);
#endif
}
// Return the degree of parallelism that code should assume when using the thread pool.
// This API takes into account if OpenMP is enabled/disabled, and if the thread pool ptr is
// nullptr. It decouples the degree of parallelism for use with the thread pool from
// the implementation choice of whether this matches the number of threads created in
// the pool.
//
// Currently, a loop with degree-of-parallelism N is supported by a pool of N-1 threads
// working in combination with the thread initiating the loop.
static int DegreeOfParallelism(const concurrency::ThreadPool* tp);
// Directly schedule the 'total' tasks to the underlying threadpool, without
// cutting them by halves
void SimpleParallelFor(std::ptrdiff_t total, const std::function<void(std::ptrdiff_t)>& fn);
inline static void TrySimpleParallelFor(ThreadPool* tp, std::ptrdiff_t total,
const std::function<void(std::ptrdiff_t)>& fn) {
#ifdef _OPENMP
ORT_UNUSED_PARAMETER(tp);
#pragma omp parallel for
for (std::ptrdiff_t i = 0; i < total; ++i) {
fn(i);
}
#else
if (tp != nullptr) {
tp->SimpleParallelFor(total, fn);
} else {
for (std::ptrdiff_t i = 0; i < total; ++i) {
// In many cases, fn can be inlined here.
fn(i);
}
}
#endif
}
/**
* Tries to call the given function in parallel, with calls split into (num_batches) batches.
*\param num_batches If it is zero, it will be replaced to the value of DegreeOfParallelism().
*\param fn A std::function or STL style functor with signature of "void f(int32_t);"
* Pitfall: Caller should cap `num_batches` to a reasonable value based on the cost of `fn` and the value of `total`.
*For example, if fn is as simple as: int sum=0; fn = [&](int i){sum +=i;} and `total` is 100, then num_batches should
*be just 1.
*
* ```
**/
template <typename F>
inline static void TryBatchParallelFor(ThreadPool* tp, std::ptrdiff_t total, F&& fn, std::ptrdiff_t num_batches) {
#ifdef _OPENMP
ORT_UNUSED_PARAMETER(tp);
ORT_UNUSED_PARAMETER(num_batches);
#pragma omp parallel for
for (std::ptrdiff_t i = 0; i < total; ++i) {
fn(i);
}
#else
if (tp == nullptr) {
for (std::ptrdiff_t i = 0; i < total; ++i) {
// In many cases, fn can be inlined here.
fn(i);
}
return;
}
if (total <= 0)
return;
if (total == 1) {
fn(0);
return;
}
if (num_batches <= 0) {
num_batches = std::min<ptrdiff_t>(total, DegreeOfParallelism(tp));
}
if (num_batches <= 1) {
for (int i = 0; i < total; i++) {
fn(i);
}
return;
}
tp->SimpleParallelFor(num_batches, [&](std::ptrdiff_t batch_index) {
auto work = PartitionWork(batch_index, num_batches, total);
for (std::ptrdiff_t i = work.start; i < work.end; i++) {
fn(i);
}
});
#endif
}
struct WorkInfo {
std::ptrdiff_t start;
std::ptrdiff_t end;
};
/** Calculate the start and end offsets for a batch.
@remarks Based on MlasPartitionWork
*/
static WorkInfo PartitionWork(std::ptrdiff_t batch_idx, std::ptrdiff_t num_batches, std::ptrdiff_t total_work) {
const std::ptrdiff_t work_per_batch = total_work / num_batches;
const std::ptrdiff_t work_per_batch_extra = total_work % num_batches;
WorkInfo info;
if (batch_idx < work_per_batch_extra) {
info.start = (work_per_batch + 1) * batch_idx;
info.end = info.start + work_per_batch + 1;
} else {
info.start = work_per_batch * batch_idx + work_per_batch_extra;
info.end = info.start + work_per_batch;
}
return info;
}
ORT_DISALLOW_COPY_AND_ASSIGNMENT(ThreadPool);
private:
friend class LoopCounter;
// Returns the number of threads created in the pool. This may be different from the
// value returned by DegreeOfParallelism to code using the pool.
int NumThreads() const;
// Returns current thread id between 0 and NumThreads() - 1, if called from a
// thread in the pool. Returns -1 otherwise.
int CurrentThreadId() const;
// Run fn with up to n degree-of-parallelism enlisting the thread pool for
// help. The degree-of-parallelism includes the caller, and so if n==1
// then the function will run directly in the caller. The fork-join
// synchronization is handled in the thread pool, and so any state captured
// by fn() is safe from concurrent access once RunWithHelp returns.
void RunInParallel(std::function<void()> fn, int n);
// Divides the work represented by the range [0, total) into k shards.
// Calls fn(i*block_size, (i+1)*block_size) from the ith shard (0 <= i < k).
// Each shard may be executed on a different thread in parallel, depending on
// the number of threads available in the pool.
// When (i+1)*block_size > total, fn(i*block_size, total) is called instead.
// Here, k = NumShardsUsedByFixedBlockSizeScheduling(total, block_size).
// Requires 0 < block_size <= total.
void ParallelForFixedBlockSizeScheduling(std::ptrdiff_t total, std::ptrdiff_t block_size,
const std::function<void(std::ptrdiff_t, std::ptrdiff_t)>& fn);
// Return whether or not the calling thread should run a loop of
// num_iterations divided in chunks of block_size in parallel. If not,
// the caller should run the loop sequentially.
bool ShouldParallelizeLoop(const std::ptrdiff_t num_iterations,
const std::ptrdiff_t block_size = 1) const;
ThreadOptions thread_options_;
// If a thread pool is created with degree_of_parallelism != 1 then an underlying
// EigenThreadPool is used to create OS threads and handle work distribution to them.
// If degree_of_parallelism == 1 then underlying_threadpool_ is left as nullptr
// and parallel work is run directly by the caller.
ExtendedThreadPoolInterface* underlying_threadpool_ = nullptr;
// If used, underlying_threadpool_ is instantiated and owned by the ThreadPool.
std::unique_ptr<ThreadPoolTempl<Env> > extended_eigen_threadpool_;
};
} // namespace concurrency
} // namespace onnxruntime
|
lu2tlib.c | // lu2tlub.c
//
// blocked LU decomposition library for column-major version
//
// Time-stamp: <11/05/13 11:35:56 makino>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#ifndef NOBLAS
#ifdef MKL
#include <mkl_cblas.h>
#else
#include <cblas.h>
#endif
#endif
#include <lu2lib.h>
typedef double v2df __attribute__((vector_size(16)));
typedef union {v2df v; double s[2];}v2u;
void timer_init();
#define MAXTHREADS 4
static int findpivot0(int n, double a[][n], int current)
{
double amax = fabs(a[0][current]);
int i;
int p=current;
BEGIN_TSC;
for(i=current+1;i<n;i++){
if (fabs(a[0][i]) > amax){
amax = fabs(a[0][i]);
p = i;
}
}
END_TSC(t,7);
return p;
}
static int findpivot(int n, double a[][n], int current)
{
int p;
int p2;
BEGIN_TSC;
p = cblas_idamax(n-current, a[0]+current, 1)+current;
// p2 = findpivot0( n, a, current);
// printf("n, current, p, p2 = %d %d %d %d\n",n, current,p, p2);
END_TSC(t,7);
return p;
}
static int findpivot_sequentical(int n, double a[][n], int current)
{
double amax = fabs(a[0][current]);
int i;
int p=current;
for(i=current+1;i<n;i++){
if (fabs(a[0][i]) > amax){
amax = fabs(a[0][i]);
p = i;
}
}
return p;
}
static int findpivot_omp(int n, double a[][n], int current)
// factor 2 slower than sequential code even for n=8k....
// on Core i7 920
{
double amax[MAXTHREADS]={-1.0,-1.0,-1.0,-1.0};
int p[MAXTHREADS];
double am;
int pm;
int di= (n-current-1)/4;
int k;
BEGIN_TSC;
if (di > 1024){
//#pragma omp parallel for private(k)
for (k=0;k<MAXTHREADS; k++){
int i;
int istart = current+1+k*di;
int iend = current+1+(k+1)*di;
if (iend > n) iend = n;
for(i=istart;i<iend;i++){
if (fabs(a[0][i]) > amax[k]){
amax[k] = fabs(a[0][i]);
p[k] = i;
}
}
}
pm =p[0];
am = amax[0];
for (k=1;k<MAXTHREADS; k++){
if(amax[k]>am){
am = amax[k];
pm=p[k];
}
}
}else{
pm=findpivot_sequentical( n, a, current);
}
END_TSC(t,7);
return pm;
}
static void swaprows(int n, double a[][n], int row1, int row2,
int cstart, int cend)
{
int j;
if (row1 != row2){
for(j=cstart;j<cend;j++){
double tmp = a[j][row1];
a[j][row1] = a[j][row2];
a[j][row2]=tmp;
}
}
}
static void scalerow( int n, double a[n+1][n], double scale,
int row, int cstart, int cend)
{
int j;
for(j=cstart;j<cend;j++) a[j][row]*= scale;
}
static void vsmulandsub(int n, double a[n+1][n], int cr, int cc,
int c0, int r0,int r1)
{
int j,k;
double * ar = a[cr];
k=c0;
double s = a[c0][cc];
double *al = a[c0];
while (r0 & 7){
al[r0] -= ar[r0]*s;
r0++;
}
while (r1 & 7){
al[r1-1] -= ar[r1-1]*s;
r1--;
}
v2df * arv = (v2df*) (ar+r0);
v2df * alv = (v2df*) (al+r0);
v2df ss = (v2df){s,s};
// for(j=r0;j<r1;j++)
// al[j] -= ar[j]*s;
for(j=0;j<(r1-r0)/2;j+=4){
alv[j] -= arv[j]*ss;
alv[j+1] -= arv[j+1]*ss;
alv[j+2] -= arv[j+2]*ss;
alv[j+3] -= arv[j+3]*ss;
__builtin_prefetch(alv+j+32,1,3);
__builtin_prefetch(arv+j+32,0,0);
}
}
static void vvmulandsub(int n, double a[n+1][n], int cr, int cc,
int c0, int c1, int r0,int r1)
{
int j,k;
double * ar = a[cr];
#ifdef TIMETEST
BEGIN_TSC;
#endif
if (c1-c0 == 1){
vsmulandsub(n,a, cr, cc,c0, r0,r1);
}else{
for (k=c0;k<c1;k++){
double s = a[k][cc];
double *al = a[k];
for(j=r0;j<r1;j++)
al[j] -= ar[j]*s;
}
}
#ifdef TIMETEST
END_TSC(t,6);
#endif
}
static void mmmulandsub_old(int n, double a[n+1][n], int m0, int m1,
int c0, int c1, int r0,int r1)
{
int j,k,l;
printf("Enter mmul\n");
#ifndef NOBLAS
cblas_dgemm( CblasColMajor, CblasNoTrans, CblasNoTrans,
r1-r0, c1-c0, m1-m0, -1.0, &(a[m0][r0]), n,
&(a[c0][m0]), n, 1, &(a[c0][r0]), n );
// example:
// r0, m0 = i+m,i
// m0, c0 = i, i+m
// r0, c0 = i+m, i+m
//r1-r0 = n-i-m
// c1-c0 = iend-i-m
// m1-m0 = m
#else
for(j=r0;j<r1;j++)
for (k=c0;k<c1;k++)
for (l=m0; l<m1; l++)
a[k][j] -= a[l][j]*a[k][l];
#endif
}
static void matmul_for_nk4_0(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int j,k,l;
for(l=0;l<4;l+=2){
for(k=0;k<4;k+=2){
for(j=0;j<n;j++){
c[k][j] -= a[l][j]*b[k][l]+ a[l+1][j]*b[k][l+1];
c[k+1][j] -= a[l][j]*b[k+1][l]+ a[l+1][j]*b[k+1][l+1];
}
}
}
}
static void matmul_for_nk8_0(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int i,j,k,l;
const int m=8;
double btmp[m][m];
for(i=0;i<m;i++)for(j=0;j<m;j++)btmp[i][j]=b[i][j];
#pragma omp parallel for private(l,k,j)
for(l=0;l<8;l+=2){
for(k=0;k<8;k+=2){
for(j=0;j<n;j++){
c[k][j] -= a[l][j]*btmp[k][l]+ a[l+1][j]*btmp[k][l+1];
c[k+1][j] -= a[l][j]*btmp[k+1][l]+ a[l+1][j]*btmp[k+1][l+1];
}
}
}
}
static void matmul_for_nk8_2(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int i,j,k,l;
const int m=8;
double btmp[m][m];
for(i=0;i<m;i++)for(j=0;j<m;j++)btmp[i][j]=b[i][j];
#pragma omp parallel for private(l,k,j)
for(k=0;k<8;k+=2){
for(l=0;l<8;l+=4){
for(j=0;j<n;j++){
c[k][j] -= a[l][j]*btmp[k][l]
+ a[l+1][j]*btmp[k][l+1]
+ a[l+2][j]*btmp[k][l+2]
+ a[l+3][j]*btmp[k][l+3];
c[k+1][j] -= a[l][j]*btmp[k+1][l]
+ a[l+1][j]*btmp[k+1][l+1]
+ a[l+2][j]*btmp[k+1][l+2]
+ a[l+3][j]*btmp[k+1][l+3];
// c[k][j] -= a[l][j]*btmp[k][l]+ a[l+1][j]*btmp[k][l+1];
// c[k+1][j] -= a[l][j]*btmp[k+1][l]+ a[l+1][j]*btmp[k+1][l+1];
}
}
}
}
static void matmul_for_nk8_3(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int i,j,k,l;
const int m=8;
const int mm = 32;
double btmp[m][m];
double atmp[m][mm];
for(i=0;i<m;i++)for(j=0;j<m;j++)btmp[i][j]=b[i][j];
for(j=0;j<n;j+=mm){
int jj;
for(i=0;i<m;i++){
for(k=0;k<mm;k++){
atmp[i][k]=a[i][j+k];
}
}
for(i=0;i<m;i++){
int jjend = mm;
if (jjend+j > n) jjend = n-j;
for(jj=0;jj<jjend;jj+=2){
c[i][j+jj] -= atmp[0][jj]*btmp[i][0]
+atmp[1][jj]*btmp[i][1]
+atmp[2][jj]*btmp[i][2]
+atmp[3][jj]*btmp[i][3]
+atmp[4][jj]*btmp[i][4]
+atmp[5][jj]*btmp[i][5]
+atmp[6][jj]*btmp[i][6]
+atmp[7][jj]*btmp[i][7];
c[i][j+jj+1] -= atmp[0][jj+1]*btmp[i][0]
+atmp[1][jj+1]*btmp[i][1]
+atmp[2][jj+1]*btmp[i][2]
+atmp[3][jj+1]*btmp[i][3]
+atmp[4][jj+1]*btmp[i][4]
+atmp[5][jj+1]*btmp[i][5]
+atmp[6][jj+1]*btmp[i][6]
+atmp[7][jj+1]*btmp[i][7];
}
}
}
}
static void matmul_for_nk8_4(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int i,j,k,l;
const int m=8;
const int mm = 16;
double btmp[m][m];
v2df b2tmp[m][m];
double atmp[m][mm];
for(i=0;i<m;i++)for(j=0;j<m;j++)b2tmp[i][j]=(v2df){b[i][j],b[i][j]};
//#pragma omp parallel for private(j,i,atmp)
//use of OMP here does not speed things up
for(j=0;j<n;j+=mm){
int jj;
for(i=0;i<m;i++){
v2df * dest = (v2df*)(atmp[i]);
v2df * src = (v2df*)(a[i]+j);
dest[0]=src[0];
dest[ 1]=src[ 1];
dest[ 2]=src[ 2];
dest[ 3]=src[ 3];
dest[ 4]=src[ 4];
dest[ 5]=src[ 5];
dest[ 6]=src[ 6];
dest[ 7]=src[ 7];
}
for(i=0;i<m;i++){
int jjend = mm;
__builtin_prefetch(c[i]+j+64,1,0);
__builtin_prefetch(c[i]+j+80,1,0);
if (jjend+j > n) jjend = n-j;
for(jj=0;jj<jjend;jj+=4){
v2df* cp = (v2df*)(&c[i][j+jj]);
v2df* ap = (v2df*)(atmp[0]+jj);
v2df* cpp = (v2df*)(&c[i][j+jj+2]);
v2df* app = (v2df*)(atmp[0]+jj+2);
*cp -= (*ap)*b2tmp[i][0]
+(*(ap+16))*b2tmp[i][1]
+(*(ap+32))*b2tmp[i][2]
+(*(ap+48))*b2tmp[i][3]
+(*(ap+64))*b2tmp[i][4]
+(*(ap+80))*b2tmp[i][5]
+(*(ap+96))*b2tmp[i][6]
+(*(ap+112))*b2tmp[i][7];
*cpp -= (*app)*b2tmp[i][0]
+(*(app+16))*b2tmp[i][1]
+(*(app+32))*b2tmp[i][2]
+(*(app+48))*b2tmp[i][3]
+(*(app+64))*b2tmp[i][4]
+(*(app+80))*b2tmp[i][5]
+(*(app+96))*b2tmp[i][6]
+(*(app+112))*b2tmp[i][7];
}
}
}
}
static void matmul_for_nk8_5(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int i,j,k,l;
const int m=8;
const int mm = 32;
double btmp[m][m];
v2df b2tmp[m][m];
for(i=0;i<m;i++)for(j=0;j<m;j++)b2tmp[i][j]=(v2df){b[i][j],b[i][j]};
//#pragma omp parallel for private(j,i)
//use of OMP here does not speed things up
for(j=0;j<n;j+=mm){
double atmp[m][mm];
int jj;
for(i=0;i<m;i++){
v2df * dest = (v2df*)(atmp[i]);
v2df * src = (v2df*)(a[i]+j);
dest[0]=src[0];
dest[ 1]=src[ 1];
dest[ 2]=src[ 2];
dest[ 3]=src[ 3];
dest[ 4]=src[ 4];
dest[ 5]=src[ 5];
dest[ 6]=src[ 6];
dest[ 7]=src[ 7];
dest[ 8]=src[ 8];
dest[ 9]=src[ 9];
dest[ 10]=src[ 10];
dest[ 11]=src[ 11];
dest[ 12]=src[ 12];
dest[ 13]=src[ 13];
dest[ 14]=src[ 14];
dest[ 15]=src[ 15];
}
for(i=0;i<m;i++){
int jjend = mm;
__builtin_prefetch(c[i]+j+64,1,0);
__builtin_prefetch(c[i]+j+80,1,0);
if (jjend+j > n) jjend = n-j;
for(jj=0;jj<jjend;jj+=4){
v2df* cp = (v2df*)(&c[i][j+jj]);
v2df* ap = (v2df*)(atmp[0]+jj);
v2df* cpp = (v2df*)(&c[i][j+jj+2]);
v2df* app = (v2df*)(atmp[0]+jj+2);
*cp -= (*ap)*b2tmp[i][0]
+(*(ap+16))*b2tmp[i][1]
+(*(ap+32))*b2tmp[i][2]
+(*(ap+48))*b2tmp[i][3]
+(*(ap+64))*b2tmp[i][4]
+(*(ap+80))*b2tmp[i][5]
+(*(ap+96))*b2tmp[i][6]
+(*(ap+112))*b2tmp[i][7];
*cpp -= (*app)*b2tmp[i][0]
+(*(app+16))*b2tmp[i][1]
+(*(app+32))*b2tmp[i][2]
+(*(app+48))*b2tmp[i][3]
+(*(app+64))*b2tmp[i][4]
+(*(app+80))*b2tmp[i][5]
+(*(app+96))*b2tmp[i][6]
+(*(app+112))*b2tmp[i][7];
}
}
}
}
static void matmul_for_nk8(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int m0,m1,m2,m3;
int s1, s2, s3;
int ds = (n/64)*16;
s1 = ds;
s2 = ds*2;
s3 = ds*3;
m0 = ds;
m1 = ds;
m2 = ds;
m3 = n-s3;
// fprintf(stderr,"n, s, m = %d %d %d %d %d %d %d %d\n",
// n,s1,s2,s3,m0,m1,m2,m3);
#pragma omp parallel
#pragma omp sections
{
#pragma omp section
matmul_for_nk8_5(n1,a,n2,b,n3,c,m0);
#pragma omp section
matmul_for_nk8_5(n1,((double*)a)+s1 ,n2,b,n3,((double*)c)+s1,m1);
#pragma omp section
matmul_for_nk8_5(n1,((double*)a)+s2 ,n2,b,n3,((double*)c)+s2,m2);
#pragma omp section
matmul_for_nk8_5(n1,((double*)a)+s3 ,n2,b,n3,((double*)c)+s3,m3);
}
}
static void matmul_for_nk4_3(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int i,j,k,l;
const int m=4;
const int mm = 16;
double btmp[m][m];
v2df b2tmp[m][m];
double atmp[m][mm];
v2df atmpt[mm/2][m];
for(i=0;i<m;i++)for(j=0;j<m;j++)b2tmp[i][j]=(v2df){b[i][j],b[i][j]};
//#pragma omp parallel for private(j,i,atmp)
//use of OMP here does not speed things up
for(j=0;j<n;j+=mm){
int jj;
for(i=0;i<m;i++){
v2df * dest = (v2df*)(atmp[i]);
v2df * src = (v2df*)(a[i]+j);
atmpt[ 0][i]=src[0];
atmpt[ 1][i]=src[ 1];
atmpt[ 2][i]=src[ 2];
atmpt[ 3][i]=src[ 3];
atmpt[ 4][i]=src[ 4];
atmpt[ 5][i]=src[ 5];
atmpt[ 6][i]=src[ 6];
atmpt[ 7][i]=src[ 7];
}
for(i=0;i<m;i++){
int jjend = mm;
if (jjend+j > n) jjend = n-j;
v2df* cp = (v2df*)(&c[i][j]);
v2df* ap = (v2df*)(atmpt[0]);
v2df* cpp = (v2df*)(&c[i][j+2]);
v2df* app = (v2df*)(atmpt[1]);
v2df* bp = b2tmp[i];
for(jj=0;jj<jjend;jj+=4){
*cp -= ap[0]*bp[0]
+ap[1]*bp[1]
+ap[2]*bp[2]
+ap[3]*bp[3];
*cpp -= app[0]*bp[0]
+app[1]*bp[1]
+app[2]*bp[2]
+app[3]*bp[3];
cp += 2;
cpp+= 2;
ap += m*2;
app+= m*2;
}
}
}
}
static void matmul_for_nk4_4(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int i,j,k,l;
const int m=4;
const int mm = 32;
double btmp[m][m];
v2df b2tmp[m][m];
double atmp[m][mm];
for(i=0;i<m;i++)for(j=0;j<m;j++)b2tmp[i][j]=(v2df){b[i][j],b[i][j]};
//#pragma omp parallel for private(j,i,atmp)
// use of OMP does not speed things up here...
for(j=0;j<n;j+=mm){
int jj;
for(i=0;i<m;i++){
v2df * dest = (v2df*)(atmp[i]);
v2df * src = (v2df*)(a[i]+j);
#if 0
for(k=0;k<mm;k++)atmp[i][k]=a[i][j+k];
#endif
#if 0
for(k=0;k<mm/2;k++)dest[k]=src[k];
#endif
for(k=0;k<mm/2;k+=2){
dest[k]=src[k];
dest[k+1]=src[k+1];
}
}
for(i=0;i<m;i++){
int jjend = mm;
v2df * bp = b2tmp[i];
if (jjend+j > n) jjend = n-j;
for(jj=0;jj<jjend;jj+=2){
v2df* cp = (v2df*)(&c[i][j+jj]);
v2df* ap = (v2df*)(atmp[0]+jj);
v2df* cpp = (v2df*)(&c[i][j+jj+2]);
v2df* app = (v2df*)(atmp[0]+jj+2);
*cp -= (*ap)*bp[0]
+(*(ap+16))*bp[1]
+(*(ap+32))*bp[2]
+(*(ap+48))*bp[3];
#if 0
*cpp -= (*app)*bp[0]
+(*(app+16))*bp[1]
+(*(app+32))*bp[2]
+(*(app+48))*bp[3];
#endif
}
}
}
}
static void matmul_for_nk4_1(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int i,j,k,l;
const int m=4;
const int mm = 32;
double btmp[m][m];
v2df b2tmp[m][m];
for(i=0;i<m;i++)for(j=0;j<m;j++)b2tmp[i][j]=(v2df){b[i][j],b[i][j]};
#pragma omp parallel for private(j,i)
// use of OMP does not speed things up here...
for(j=0;j<n;j+=mm){
double atmp[m][mm];
int jj;
for(i=0;i<m;i++){
v2df * dest = (v2df*)(atmp[i]);
v2df * src = (v2df*)(a[i]+j);
#if 0
for(k=0;k<mm;k++)atmp[i][k]=a[i][j+k];
#endif
#if 0
for(k=0;k<mm/2;k++)dest[k]=src[k];
#endif
for(k=0;k<mm/2;k+=4){
dest[k]=src[k];
dest[k+1]=src[k+1];
dest[k+2]=src[k+2];
dest[k+3]=src[k+3];
}
}
for(i=0;i<m;i++){
int jjend = mm;
v2df * bp = b2tmp[i];
if (jjend+j > n) jjend = n-j;
for(jj=0;jj<jjend;jj+=4){
v2df* cp = (v2df*)(&c[i][j+jj]);
v2df* ap = (v2df*)(atmp[0]+jj);
v2df* cpp = (v2df*)(&c[i][j+jj+2]);
v2df* app = (v2df*)(atmp[0]+jj+2);
*cp -= (*ap)*bp[0]
+(*(ap+16))*bp[1]
+(*(ap+32))*bp[2]
+(*(ap+48))*bp[3];
*cpp -= (*app)*bp[0]
+(*(app+16))*bp[1]
+(*(app+32))*bp[2]
+(*(app+48))*bp[3];
}
}
}
}
static void matmul_for_nk2_0(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int j,k,l;
for(j=0;j<n;j++){
c[0][j] -= a[0][j]*b[0][0]+a[1][j]*b[0][1];
c[1][j] -= a[0][j]*b[1][0]+a[1][j]*b[1][1];
}
}
static void matmul_for_nk2_1(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int j,k,l;
for(j=0;j<n;j+=2){
c[0][j] -= a[0][j]*b[0][0]+a[1][j]*b[0][1];
c[1][j] -= a[0][j]*b[1][0]+a[1][j]*b[1][1];
c[0][j+1] -= a[0][j+1]*b[0][0]+a[1][j+1]*b[0][1];
c[1][j+1] -= a[0][j+1]*b[1][0]+a[1][j+1]*b[1][1];
}
}
static void matmul_for_nk2_2(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int j,k,l;
register double b00 = b[0][0];
register double b01 = b[0][1];
register double b10 = b[1][0];
register double b11 = b[1][1];
for(j=0;j<n;j+=2){
c[0][j] -= a[0][j]*b00+a[1][j]*b01;
c[0][j+1] -= a[0][j+1]*b00+a[1][j+1]*b01;
c[1][j] -= a[0][j]*b10+a[1][j]*b11;
c[1][j+1] -= a[0][j+1]*b10+a[1][j+1]*b11;
}
}
static void matmul_for_nk2(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int j,k,l;
register v2df b00 = (v2df){b[0][0],b[0][0]};
register v2df b01 = (v2df){b[0][1],b[0][1]};
register v2df b10 = (v2df){b[1][0],b[1][0]};
register v2df b11 = (v2df){b[1][1],b[1][1]};
v2df * a0 = (v2df*) a[0];
v2df * a1 = (v2df*) a[1];
v2df * c0 = (v2df*) c[0];
v2df * c1 = (v2df*) c[1];
int nh = n>>1;
if (nh & 1){
j=nh-1;
c0[j] -= a0[j]*b00+a1[j]*b01;
c1[j] -= a0[j]*b10+a1[j]*b11;
nh = nh-1;
}
for(j=0;j<nh;j+=2){
c0[j] -= a0[j]*b00+a1[j]*b01;
c0[j+1] -= a0[j+1]*b00+a1[j+1]*b01;
c1[j] -= a0[j]*b10+a1[j]*b11;
c1[j+1] -= a0[j+1]*b10+a1[j+1]*b11;
// __builtin_prefetch((double*)&a0[j+32],0);
// __builtin_prefetch((double*)&a1[j+32],0);
// __builtin_prefetch((double*)&c0[j+32],1);
// __builtin_prefetch((double*)&c1[j+32],1);
// asm("prefetcht2 %0"::"m"(a0[j+32]):"memory");
// asm("prefetcht2 %0"::"m"(a1[j+32]):"memory");
}
}
static void matmul_for_nk4_5(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
matmul_for_nk2(n1, a, n2, b, n3,c, n);
matmul_for_nk2(n1, (double(*)[]) (a[2]), n2,
(double(*)[]) &(b[0][2]), n3,c, n);
matmul_for_nk2(n1, a, n2, (double(*)[]) b[2], n3,
(double(*)[]) c[2], n);
matmul_for_nk2(n1, (double(*)[]) &(a[2]), n2,
(double(*)[]) &(b[2][2]), n3,
(double(*)[]) c[2], n);
}
static void matmul_for_nk4_6(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
register v2df b00 = (v2df){b[0][0],b[0][0]};
register v2df b01 = (v2df){b[0][1],b[0][1]};
register v2df b02 = (v2df){b[0][2],b[0][2]};
register v2df b03 = (v2df){b[0][3],b[0][3]};
register v2df b10 = (v2df){b[1][0],b[1][0]};
register v2df b11 = (v2df){b[1][1],b[1][1]};
register v2df b12 = (v2df){b[1][2],b[1][2]};
register v2df b13 = (v2df){b[1][3],b[1][3]};
register v2df b20 = (v2df){b[2][0],b[2][0]};
register v2df b21 = (v2df){b[2][1],b[2][1]};
register v2df b22 = (v2df){b[2][2],b[2][2]};
register v2df b23 = (v2df){b[2][3],b[2][3]};
register v2df b30 = (v2df){b[3][0],b[3][0]};
register v2df b31 = (v2df){b[3][1],b[3][1]};
register v2df b32 = (v2df){b[3][2],b[3][2]};
register v2df b33 = (v2df){b[3][3],b[3][3]};
v2df * a0 = (v2df*) a[0];
v2df * a1 = (v2df*) a[1];
v2df * a2 = (v2df*) a[2];
v2df * a3 = (v2df*) a[3];
v2df * c0 = (v2df*) c[0];
v2df * c1 = (v2df*) c[1];
v2df * c2 = (v2df*) c[2];
v2df * c3 = (v2df*) c[3];
int nh = n>>1;
//#pragma omp parallel
{
//#pragma omp section
{
int j;
//#pragma omp for private (j)
for(j=0;j<nh;j++){
c0[j] -= a0[j]*b00+a1[j]*b01+a2[j]*b02+a3[j]*b03;
c1[j] -= a0[j]*b10+a1[j]*b11+a2[j]*b12+a3[j]*b13;
}
}
//#pragma omp section
{
int j;
//#pragma omp for private (j)
for(j=0;j<nh;j++){
c2[j] -= a0[j]*b20+a1[j]*b21+a2[j]*b22+a3[j]*b23;
c3[j] -= a0[j]*b30+a1[j]*b31+a2[j]*b32+a3[j]*b33;
}
}
}
}
static void matmul_for_nk4_7(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
v2df * a0 = (v2df*) a[0];
v2df * a1 = (v2df*) a[1];
v2df * a2 = (v2df*) a[2];
v2df * a3 = (v2df*) a[3];
int j;
{
int nh = n>>1;
v2df * c0 = (v2df*) c[0];
v2df * c1 = (v2df*) c[1];
v2df b00 = (v2df){b[0][0],b[0][0]};
v2df b01 = (v2df){b[0][1],b[0][1]};
v2df b02 = (v2df){b[0][2],b[0][2]};
v2df b03 = (v2df){b[0][3],b[0][3]};
v2df b10 = (v2df){b[1][0],b[1][0]};
v2df b11 = (v2df){b[1][1],b[1][1]};
v2df b12 = (v2df){b[1][2],b[1][2]};
v2df b13 = (v2df){b[1][3],b[1][3]};
if (nh & 1){
j=nh-1;
c0[j] -= a0[j]*b00+a1[j]*b01+a2[j]*b02+a3[j]*b03;
c1[j] -= a0[j]*b10+a1[j]*b11+a2[j]*b12+a3[j]*b13;
nh--;
}
for(j=0;j<nh;j+=2){
c0[j] -= a0[j]*b00+a1[j]*b01+a2[j]*b02+a3[j]*b03;
c1[j] -= a0[j]*b10+a1[j]*b11+a2[j]*b12+a3[j]*b13;
c0[j+1] -= a0[j+1]*b00+a1[j+1]*b01+a2[j+1]*b02+a3[j+1]*b03;
c1[j+1] -= a0[j+1]*b10+a1[j+1]*b11+a2[j+1]*b12+a3[j+1]*b13;
}
}
{
int nh = n>>1;
v2df * c2 = (v2df*) c[2];
v2df * c3 = (v2df*) c[3];
v2df b20 = (v2df){b[2][0],b[2][0]};
v2df b21 = (v2df){b[2][1],b[2][1]};
v2df b22 = (v2df){b[2][2],b[2][2]};
v2df b23 = (v2df){b[2][3],b[2][3]};
register v2df b30 = (v2df){b[3][0],b[3][0]};
register v2df b31 = (v2df){b[3][1],b[3][1]};
register v2df b32 = (v2df){b[3][2],b[3][2]};
register v2df b33 = (v2df){b[3][3],b[3][3]};
for(j=0;j<nh;j++){
c2[j] -= a0[j]*b20+a1[j]*b21+a2[j]*b22+a3[j]*b23;
c3[j] -= a0[j]*b30+a1[j]*b31+a2[j]*b32+a3[j]*b33;
}
}
}
static void matmul_for_nk4_8(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
v2df * a0 = (v2df*) a[0];
v2df * a1 = (v2df*) a[1];
v2df * a2 = (v2df*) a[2];
v2df * a3 = (v2df*) a[3];
int nh = n>>1;
int j;
int k;
v2df * cv;
v2df * cvv;
register v2df b0;
register v2df b1;
register v2df b2;
register v2df b3;
register v2df b4;
register v2df b5;
register v2df b6;
register v2df b7;
for(k=0;k<4;k+=2){
cv = (v2df*) c[k];
cvv = (v2df*) c[k+1];
b0 = (v2df){b[k][0],b[k][0]};
b1 = (v2df){b[k][1],b[k][1]};
b2 = (v2df){b[k][2],b[k][2]};
b3 = (v2df){b[k][3],b[k][3]};
b4 = (v2df){b[k+1][0],b[k+1][0]};
b5 = (v2df){b[k+1][1],b[k+1][1]};
b6 = (v2df){b[k+1][2],b[k+1][2]};
b7 = (v2df){b[k+1][3],b[k+1][3]};
for(j=0;j<nh;j++){
register v2df aa0 = a0[j];
register v2df aa1 = a1[j];
register v2df aa2 = a2[j];
register v2df aa3 = a3[j];
register v2df x = aa0*b0;
x+= aa1*b1;
x+= aa2*b2;
x+= aa3*b3;
cv[j]-=x;
x = aa0*b4;
x+= aa1*b5;
x+= aa2*b6;
x+= aa3*b7;
cvv[j] -= x;
}
}
}
static void matmul_for_nk4(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int m0,m1,m2,m3;
int s1, s2, s3;
int ds = (n/32)*8;
s1 = ds;
s2 = ds*2;
s3 = ds*3;
m0 = ds;
m1 = ds;
m2 = ds;
m3 = n-s3;
// fprintf(stderr,"n, s, m = %d %d %d %d %d %d %d %d\n",
// n,s1,s2,s3,m0,m1,m2,m3);
#pragma omp parallel
#pragma omp sections
{
#pragma omp section
matmul_for_nk4_7(n1,a,n2,b,n3,c,m0);
#pragma omp section
matmul_for_nk4_7(n1,((double*)a)+s1 ,n2,b,n3,((double*)c)+s1,m1);
#pragma omp section
matmul_for_nk4_7(n1,((double*)a)+s2 ,n2,b,n3,((double*)c)+s2,m2);
#pragma omp section
matmul_for_nk4_7(n1,((double*)a)+s3 ,n2,b,n3,((double*)c)+s3,m3);
}
}
static void matmul_for_nk8_9(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
matmul_for_nk4(n1, a, n2, b, n3,c, n);
matmul_for_nk4(n1, (double(*)[]) (a[4]), n2,
(double(*)[]) &(b[0][4]), n3,c, n);
matmul_for_nk4(n1, a, n2, (double(*)[]) b[4], n3,
(double(*)[]) c[4], n);
matmul_for_nk4(n1, (double(*)[]) &(a[4]), n2,
(double(*)[]) &(b[4][4]), n3,
(double(*)[]) c[4], n);
}
#if 0
static void matmul_for_nk8(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int n)
{
int i;
int nb=384;
for (i=0;i<n;i+=nb){
int iend = i+nb;
if (iend > n) iend = n;
matmul_for_nk8_worker(n1, (double(*)[]) (a[0]+i),
n2, (double(*)[]) (b[0]+i),
n3, (double(*)[]) (c[0]+i),
iend-i);
}
}
#endif
static void matmul_for_small_nk_local(int n1, double a[][n1],
int n2, double b[][n2],
int n3, double c[][n3],
int m,
int kk,
int n)
{
// simplest version
int j,k,l;
BEGIN_TSC;
if (kk == 2){
matmul_for_nk2(n1, a, n2, b, n3,c, n);
END_TSC(t,16);
return;
}
if (kk == 4){
matmul_for_nk4(n1, a, n2, b, n3,c, n);
END_TSC(t,13);
return;
}
if (kk == 8){
matmul_for_nk8(n1, a, n2, b, n3,c, n);
END_TSC(t,12);
return;
}
for(j=0;j<n;j++)
for(k=0;k<m;k++)
for(l=0;l<kk;l++)
c[k][j] -= a[l][j]*b[k][l];
}
static void mmmulandsub(int n, double a[n+1][n], int rshift, int m0, int m1,
int c0, int c1, int r0,int r1)
{
int j,k,l;
#ifdef TIMETEST
BEGIN_TSC;
#endif
#ifndef NOBLAS
if ((m1-m0)<=8){
// =4 is slighly faster than =8 on Ci7
matmul_for_small_nk_local(n, (double(*)[]) &(a[m0-rshift][r0]),
n, (double(*)[]) &(a[c0-rshift][m0]),
n, (double(*)[]) &(a[c0-rshift][r0]),
c1-c0,m1-m0,r1-r0);
}else{
cblas_dgemm( CblasColMajor, CblasNoTrans, CblasNoTrans,
r1-r0, c1-c0, m1-m0, -1.0, &(a[m0-rshift][r0]), n,
&(a[c0-rshift][m0]), n, 1, &(a[c0-rshift][r0]), n );
}
// example:
// r0, m0 = i+m,i
// m0, c0 = i, i+m
// r0, c0 = i+m, i+m
//r1-r0 = n-i-m
// c1-c0 = iend-i-m
// m1-m0 = m
#else
for(j=r0;j<r1;j++)
for (k=c0;k<c1;k++)
for (l=m0; l<m1; l++)
a[k-rshift][j] -= a[l-rshift][j]*a[k-rshift][l];
#endif
#ifdef TIMETEST
END_TSC(t,4);
#endif
}
static int nswap;
static void column_decomposition(int n, double a[][n], int m, int pv[], int i)
{
// shift a so that partial array is okay
int j, k;
int ip,ii;
double ainv;
#ifdef TIMETEST
BEGIN_TSC;
#endif
for(ip=0;ip<m;ip++){
ii=i+ip;
int p = findpivot(n,a,ii);
pv[ip]=p;
swaprows(n,a,p,ii,0,m);
nswap++;
// normalize row ii
ainv = 1.0/a[ip][ii];
scalerow(n,a,ainv,ii,0,ip);
scalerow(n,a,ainv,ii,ip+1,m);
// subtract row ii from all lower rows
vvmulandsub(n, a, ip,ii, ip+1, m, ii+1, n);
}
#ifdef TIMETEST
END_TSC(t,5);
#endif
}
static void process_right_part(int n,
double a[n+1][n],
int m,
int pv[],
int i,
int iend)
{
int ii;
// exchange rows
for(ii=i;ii<i+m;ii++){
swaprows(n,a,pv[ii-i],ii,m,iend-i);
}
// normalize rows
for(ii=i;ii<i+m;ii++){
scalerow(n,a,1.0/a[ii-i][ii] ,ii,m,iend-i);
}
// subtract rows (within i-i+m-1)
for(ii=i;ii<i+m;ii++){
vvmulandsub(n, a, ii-i,ii, m, iend-i, ii+1, i+m);
}
// subtract rows i-i+m-1 from all lower rows
mmmulandsub(n, a, i, i,i+m, i+m, iend, i+m, n);
// fprintf(stderr,"process_r, end\n");
// usleep(1);
}
static void column_decomposition_recursive(int n,
double a[n+1][n],
int m,
int pv[],
int i)
{
int j, k;
int ip,ii;
double ainv;
// fprintf(stderr,"enter t column recursive %d %d\n", i, m);
if (m <= 2){
// perform non-recursive direct decomposition
column_decomposition(n, a, m, pv,i);
}else{
// process the left half by recursion
// fprintf(stderr,"call column recursive %d %d\n", i, m);
column_decomposition_recursive(n, a, m/2, pv,i);
// process the right half
// fprintf(stderr,"call right part %d %d\n", i, m);
process_right_part(n,a,m/2,pv,i,i+m);
// fprintf(stderr,"call right recursive %d %d\n", i, m);
column_decomposition_recursive(n, a+m/2, m/2, pv+m/2,i+m/2);
// process the swap of rows for the left half
// fprintf(stderr,"call swaprowse %d %d\n", i, m);
for(ii=i+m/2;ii<i+m;ii++){
swaprows(n,a,pv[ii-i],ii,0,m/2);
}
// fprintf(stderr,"call scalerows %d %d\n", i, m);
// normalize rows
for(ii=i+m/2;ii<i+m;ii++){
scalerow(n,a,1.0/a[ii-i][ii] ,ii,0,m/2);
}
}
}
void cm_column_decomposition_recursive(int n,
double a[n+1][n],
int m,
int pv[],
int i)
{
column_decomposition_recursive( n, a, m, pv, i);
}
void cm_column_decomposition(int n,
double a[n+1][n],
int m,
int pv[],
int i)
{
column_decomposition( n, a, m, pv, i);
}
void cm_process_right_part(int n,
double a[n+1][n],
int m,
int pv[],
int i,
int iend)
{
process_right_part(n, a, m, pv, i,iend);
}
|
omp_for_firstprivate.c | <ompts:test>
<ompts:testdescription>Test which checks the omp for firstprivate clause by counting up a variable in a parallelized loop. Each thread has a firstprivate variable (1) and an variable (2) declared by for firstprivate. First it stores the result of its last iteration in variable (2). Then it stores the value of the variable (2) in its firstprivate variable (1). At the end all firstprivate variables (1) are added to a total sum in a critical section and compared with the correct result.</ompts:testdescription>
<ompts:ompversion>3.0</ompts:ompversion>
<ompts:directive>omp for firstprivate</ompts:directive>
<ompts:dependences>omp critical,omp parallel firstprivate</ompts:dependences>
<ompts:testcode>
#include <stdio.h>
#include <math.h>
#include "omp_testsuite.h"
int sum1;
#pragma omp threadprivate(sum1)
int <ompts:testcode:functionname>omp_for_firstprivate</ompts:testcode:functionname> (FILE * logFile)
{
int sum;
<ompts:orphan:vars>
int sum0;
</ompts:orphan:vars>
int known_sum;
int threadsnum;
sum = 0;
sum0 = 12345;
sum1 = 0;
#pragma omp parallel
{
#pragma omp single
{
threadsnum=omp_get_num_threads();
}
/* sum0 = 0; */
<ompts:orphan>
int i;
#pragma omp for <ompts:check>firstprivate(sum0)</ompts:check><ompts:crosscheck>private(sum0)</ompts:crosscheck>
for (i = 1; i <= LOOPCOUNT; i++)
{
sum0 = sum0 + i;
sum1 = sum0;
} /* end of for */
</ompts:orphan>
#pragma omp critical
{
sum = sum + sum1;
} /* end of critical */
} /* end of parallel */
known_sum = 12345* threadsnum+ (LOOPCOUNT * (LOOPCOUNT + 1)) / 2;
return (known_sum == sum);
}
</ompts:testcode>
</ompts:test>
|
Fig_10.7_threadpriv.c | // sample compile command: "gcc -fopenmp -c Fig_10.7_threadpriv.c" to generate *.o object file
// will get warning messages about functions init_list, processwork, and freeList are implicitly declared
#include <stdio.h>
#include <sys/time.h>
#include <omp.h>
struct node {
int data;
struct node * next;
};
int counter = 0;
#pragma omp threadprivate(counter)
void inc_count()
{
counter++;
}
int main()
{
struct node *p = NULL;
struct node *head = NULL;
init_list(p);
head = p;
#pragma omp parallel
{
#pragma omp single
{
p = head;
while (p) {
#pragma omp task firstprivate(p)
{
inc_count();
processwork(p);
}
p = p->next;
}
}
printf("thread \%d ran \%d tasks\n",omp_get_thread_num(),counter);
}
freeList(p);
return 0;
}
|
sicm_low.c | #include "sicm_low.h"
#include <dirent.h>
#include <errno.h>
#include <fcntl.h>
#include <math.h>
#include <numa.h>
#include <numaif.h>
#include <sched.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>
#include <unistd.h>
#include <sys/mman.h>
// https://www.mail-archive.com/devel@lists.open-mpi.org/msg20403.html
#ifndef MAP_HUGE_SHIFT
#include <linux/mman.h>
#endif
#include "sicm_impl.h"
#include "detect_devices.h"
#ifdef HIP
#include <hip/hip_runtime.h>
#endif
int normal_page_size = -1;
sicm_device_tag sicm_get_device_tag(char *env) {
size_t max_chars;
max_chars = 32;
if(strncmp(env, "SICM_DRAM", max_chars) == 0) {
return SICM_DRAM;
} else if(strncmp(env, "SICM_KNL_HBM", max_chars) == 0) {
return SICM_KNL_HBM;
} else if(strncmp(env, "SICM_POWERPC_HBM", max_chars) == 0) {
return SICM_POWERPC_HBM;
}
return INVALID_TAG;
}
char * sicm_device_tag_str(sicm_device_tag tag) {
switch(tag) {
case SICM_DRAM:
return "SICM_DRAM";
case SICM_KNL_HBM:
return "SICM_KNL_HBM";
case SICM_POWERPC_HBM:
return "SICM_POWERPC_HBM";
case SICM_OPTANE:
return "SICM_OPTANE";
case SICM_HIP:
return "SICM_HIP";
case INVALID_TAG:
break;
}
return NULL;
}
static int sicm_device_compare(const void * lhs, const void * rhs) {
sicm_device * l = * (sicm_device **) lhs;
sicm_device * r = * (sicm_device **) rhs;
if (l->node != r->node) {
return l->node - r->node;
}
if (l->page_size != r->page_size) {
return l->page_size - r->page_size;
}
return l->tag - r->tag;
}
/* Only initialize SICM once */
static int sicm_init_count = 0;
static pthread_mutex_t sicm_init_count_mutex = PTHREAD_MUTEX_INITIALIZER;
static sicm_device_list sicm_global_devices = {};
static sicm_device *sicm_global_device_array = NULL;
/* set in sicm_init */
struct sicm_device *sicm_default_device_ptr = NULL;
struct sicm_device_list sicm_init() {
/* Check whether or not the global devices list has been initialized already */
pthread_mutex_lock(&sicm_init_count_mutex);
if (sicm_init_count) {
sicm_init_count++;
pthread_mutex_unlock(&sicm_init_count_mutex);
return sicm_global_devices;
}
// Find the number of huge page sizes
int huge_page_size_count = 0;
DIR* dir = opendir("/sys/kernel/mm/hugepages");
struct dirent* entry = NULL;
while((entry = readdir(dir)) != NULL)
if(entry->d_name[0] != '.') huge_page_size_count++;
int* huge_page_sizes = malloc(huge_page_size_count * sizeof(int));
normal_page_size = numa_pagesize() / 1024;
// Find the actual set of huge page sizes (reported in KiB)
rewinddir(dir);
int i = 0;
while((entry = readdir(dir)) != NULL) {
if(entry->d_name[0] != '.') {
huge_page_sizes[i] = 0;
int j;
for(j = 0; j < 10; j++) {
if(entry->d_name[j] == '\0') {
j = -1;
break;
}
}
if(j < 0) break;
for(; entry->d_name[j] >= '0' && entry->d_name[j] <= '9'; j++) {
huge_page_sizes[i] *= 10;
huge_page_sizes[i] += entry->d_name[j] - '0';
}
i++;
}
}
closedir(dir);
const int node_count = get_node_count();
const int device_count = node_count * (huge_page_size_count + 1);
sicm_global_device_array = malloc(device_count * sizeof(struct sicm_device));
// initialize the device list
sicm_device **devices = malloc(device_count * sizeof(sicm_device *));
for(int i = 0; i < device_count; i++) {
devices[i] = &sicm_global_device_array[i];
devices[i]->tag = INVALID_TAG;
devices[i]->node = -1;
devices[i]->page_size = -1;
}
const int idx = detect_devices(node_count,
huge_page_sizes, huge_page_size_count,
normal_page_size,
devices);
free(huge_page_sizes);
qsort(devices, idx, sizeof(sicm_device *), sicm_device_compare);
sicm_global_devices = (struct sicm_device_list){ .count = idx, .devices = devices };
sicm_default_device(0);
sicm_init_count++;
pthread_mutex_unlock(&sicm_init_count_mutex);
return sicm_global_devices;
}
sicm_device *sicm_default_device(const unsigned int idx) {
if (idx < sicm_global_devices.count) {
sicm_default_device_ptr = sicm_global_devices.devices[idx];
}
return sicm_default_device_ptr;
}
/* Frees memory up */
void sicm_fini() {
pthread_mutex_lock(&sicm_init_count_mutex);
if (sicm_init_count) {
sicm_init_count--;
if (sicm_init_count == 0) {
free(sicm_global_devices.devices);
free(sicm_global_device_array);
memset(&sicm_global_devices, 0, sizeof(sicm_global_devices));
}
}
pthread_mutex_unlock(&sicm_init_count_mutex);
}
void sicm_device_list_free(sicm_device_list *devs) {
if (devs == NULL)
return;
free(devs->devices);
}
sicm_device *sicm_find_device(sicm_device_list *devs, const sicm_device_tag type, const int page_size, sicm_device *old) {
sicm_device *dev = NULL;
if (devs) {
unsigned int i;
for(i = 0; i < devs->count; i++) {
if ((devs->devices[i]->tag == type) &&
((page_size == 0) || (sicm_device_page_size(devs->devices[i]) == page_size)) &&
!sicm_device_eq(devs->devices[i], old)) {
dev = devs->devices[i];
break;
}
}
}
return dev;
}
void* sicm_device_alloc(struct sicm_device* device, size_t size) {
switch(device->tag) {
case SICM_DRAM:
case SICM_KNL_HBM:
case SICM_OPTANE:
case SICM_POWERPC_HBM:
; // labels can't be followed by declarations
int page_size = sicm_device_page_size(device);
if(page_size == normal_page_size)
return numa_alloc_onnode(size, sicm_numa_id(device));
else {
int shift = 10; // i.e., 1024
int remaining = page_size;
while(remaining > 1) {
shift++;
remaining >>= 1;
}
int old_mode;
nodemask_t old_nodemask;
get_mempolicy(&old_mode, old_nodemask.n, numa_max_node() + 2, NULL, 0);
nodemask_t nodemask;
nodemask_zero(&nodemask);
nodemask_set_compat(&nodemask, sicm_numa_id(device));
set_mempolicy(MPOL_BIND, nodemask.n, numa_max_node() + 2);
void* ptr = mmap(NULL, size, PROT_READ | PROT_WRITE,
MAP_PRIVATE | MAP_ANONYMOUS | MAP_HUGETLB | (shift << MAP_HUGE_SHIFT), -1, 0);
if(ptr == MAP_FAILED) {
printf("huge page allocation error: %s\n", strerror(errno));
}
set_mempolicy(old_mode, old_nodemask.n, numa_max_node() + 2);
return ptr;
}
case SICM_HIP:
#ifdef HIP
{
// record previously selected device
int old_dev = -1;
if (hipGetDevice(&old_dev) != hipSuccess) {
return NULL;
}
hipSetDevice(device->data.hip.id);
void *ptr = NULL;
hipMalloc(&ptr, size);
// restore previously selected device
hipSetDevice(old_dev);
return ptr;
}
#endif
break;
case INVALID_TAG:
break;
}
printf("error in sicm_alloc: unknown tag\n");
exit(-1);
}
void* sicm_device_alloc_mmapped(struct sicm_device* device, size_t size, int fd, off_t offset) {
switch(device->tag) {
case SICM_DRAM:
case SICM_KNL_HBM:
case SICM_OPTANE:
case SICM_POWERPC_HBM:
; // labels can't be followed by declarations
int page_size = sicm_device_page_size(device);
if(page_size == normal_page_size)
return numa_alloc_onnode(size, sicm_numa_id(device));
else {
int shift = 10; // i.e., 1024
int remaining = page_size;
while(remaining > 1) {
shift++;
remaining >>= 1;
}
int old_mode;
nodemask_t old_nodemask;
get_mempolicy(&old_mode, old_nodemask.n, numa_max_node() + 2, NULL, 0);
nodemask_t nodemask;
nodemask_zero(&nodemask);
nodemask_set_compat(&nodemask, sicm_numa_id(device));
set_mempolicy(MPOL_BIND, nodemask.n, numa_max_node() + 2);
void* ptr = mmap(NULL, size, PROT_READ | PROT_WRITE,
MAP_SHARED, fd, offset);
if(ptr == MAP_FAILED) {
printf("huge page allocation error: %s\n", strerror(errno));
}
set_mempolicy(old_mode, old_nodemask.n, numa_max_node() + 2);
return ptr;
}
case SICM_HIP:
case INVALID_TAG:
break;
}
printf("error in sicm_alloc: unknown tag\n");
exit(-1);
}
int sicm_can_place_exact(struct sicm_device* device) {
switch(device->tag) {
case SICM_DRAM:
case SICM_KNL_HBM:
case SICM_OPTANE:
case SICM_POWERPC_HBM:
return 1;
case SICM_HIP:
case INVALID_TAG:
break;
}
return 0;
}
void* sicm_alloc_exact(struct sicm_device* device, void* base, size_t size) {
switch(device->tag) {
case SICM_DRAM:
case SICM_KNL_HBM:
case SICM_OPTANE:
case SICM_POWERPC_HBM:
; // labels can't be followed by declarations
int page_size = sicm_device_page_size(device);
if(page_size == normal_page_size) {
int old_mode;
nodemask_t old_nodemask;
get_mempolicy(&old_mode, old_nodemask.n, numa_max_node() + 2, NULL, 0);
nodemask_t nodemask;
nodemask_zero(&nodemask);
nodemask_set_compat(&nodemask, sicm_numa_id(device));
set_mempolicy(MPOL_BIND, nodemask.n, numa_max_node() + 2);
void* ptr = mmap(base, size, PROT_READ | PROT_WRITE,
MAP_PRIVATE | MAP_FIXED | MAP_ANONYMOUS, -1, 0);
if(ptr == (void*)-1) {
printf("exact allocation error: %s\n", strerror(errno));
}
set_mempolicy(old_mode, old_nodemask.n, numa_max_node() + 2);
return ptr;
}
else {
int shift = 10; // i.e., 1024
int remaining = page_size;
while(remaining > 1) {
shift++;
remaining >>= 1;
}
int old_mode;
nodemask_t old_nodemask;
get_mempolicy(&old_mode, old_nodemask.n, numa_max_node() + 2, NULL, 0);
nodemask_t nodemask;
nodemask_zero(&nodemask);
nodemask_set_compat(&nodemask, sicm_numa_id(device));
set_mempolicy(MPOL_BIND, nodemask.n, numa_max_node() + 2);
void* ptr = mmap(base, size, PROT_READ | PROT_WRITE,
MAP_PRIVATE | MAP_FIXED | MAP_ANONYMOUS | MAP_HUGETLB | (shift << MAP_HUGE_SHIFT), -1, 0);
printf("alloc exact: %p, %p\n", base, ptr);
if(ptr == (void*)-1) {
printf("huge page allocation error: %s\n", strerror(errno));
}
set_mempolicy(old_mode, old_nodemask.n, numa_max_node() + 2);
return ptr;
}
case SICM_HIP:
case INVALID_TAG:
break;
}
printf("error in sicm_alloc_exact: unknown tag\n");
exit(-1);
}
void sicm_device_free(struct sicm_device* device, void* ptr, size_t size) {
switch(device->tag) {
case SICM_DRAM:
case SICM_KNL_HBM:
case SICM_OPTANE:
case SICM_POWERPC_HBM:
if(sicm_device_page_size(device) == normal_page_size)
//numa_free(ptr, size);
munmap(ptr, size);
else {
// Huge page allocation occurs in whole page chunks, so we need
// to free (unmap) in whole page chunks.
int page_size = sicm_device_page_size(device);
munmap(ptr, sicm_div_ceil(size, page_size * 1024) * page_size * 1024);
}
break;
case SICM_HIP:
#ifdef HIP
hipFree(ptr);
#endif
break;
case INVALID_TAG:
default:
printf("error in sicm_device_free: unknown tag\n");
exit(-1);
}
}
int sicm_numa_id(struct sicm_device* device) {
return device?device->node:-1;
}
int sicm_device_page_size(struct sicm_device* device) {
return device?device->page_size:-1;
}
int sicm_device_eq(sicm_device* dev1, sicm_device* dev2) {
if (!dev1 || !dev2) {
return 0;
}
if (dev1 == dev2) {
return 1;
}
if (dev1->tag != dev2->tag) {
return 0;
}
if (dev1->node != dev2->node) {
return 0;
}
if (dev1->page_size != dev2->page_size) {
return 0;
}
switch(dev1->tag) {
case SICM_DRAM:
return 1;
case SICM_KNL_HBM:
return
(dev1->data.knl_hbm.compute_node == dev2->data.knl_hbm.compute_node);
case SICM_OPTANE:
return
(dev1->data.optane.compute_node == dev2->data.optane.compute_node);
case SICM_POWERPC_HBM:
return 1;
case SICM_HIP:
return (dev1->data.hip.id == dev2->data.hip.id);
case INVALID_TAG:
default:
return 0;
}
return 0;
}
int sicm_move(struct sicm_device* src, struct sicm_device* dst, void* ptr, size_t size) {
if(sicm_numa_id(src) >= 0) {
int dst_node = sicm_numa_id(dst);
if(dst_node >= 0) {
nodemask_t nodemask;
nodemask_zero(&nodemask);
nodemask_set_compat(&nodemask, dst_node);
return mbind(ptr, size, MPOL_BIND, nodemask.n, numa_max_node() + 2, MPOL_MF_MOVE);
}
}
return -1;
}
int sicm_pin(struct sicm_device* device) {
int ret = -1;
switch(device->tag) {
case SICM_DRAM:
case SICM_KNL_HBM:
case SICM_OPTANE:
case SICM_POWERPC_HBM:
#pragma omp parallel
ret = numa_run_on_node(device->node);
break;
case SICM_HIP:
case INVALID_TAG:
break;
}
return ret;
}
/**
* @input buf - sting with meminfo data
* @input buf_len - length of buffer (buf)
* @input field - field looking for (e.g., "MemFree")
* @inout value - output result found in buf input
*
* @return: -1 (error), 0 (not found), 1 (found)
*
* @Notes:
* - Note this assumes you do not split meminfo lines up,
* or at least the fields you care about are fully contained
* in the input buffer (i.e., not split up between reads and
* get partial line of input in buf).
* - Field names look like "MemTotal"
* - Not very pretty, but gets the correct values from meminfo
* likely needs some more bounds checking (e.g., buf[i]).
*/
static int parse_meminfo(char *buf, int buf_len, char *field, size_t *value)
{
char str[128];
int i;
int found = 0;
if (0 >= buf_len) {
fprintf (stderr, "Error: Bad parameter (bugus buf_len)\n");
return -1;
}
if ((NULL == buf) || (NULL == field) || (NULL == value)) {
fprintf (stderr, "Error: Bad parameter\n");
return -1;
}
for (i=0; i <= buf_len; i++) {
if (buf[i] == field[0]) {
char *s1 = &buf[i];
char *s2 = &field[0];
char tmp[128];
int k=0;
while (*s1++ == *s2++) {
i++;
}
if (buf[i] == ':') {
/* This is our line of info */
/* Move past colon */
i++;
/* Move past blank spaces (careful of buf_len) */
while ((i <= buf_len) && (buf[i] == ' ')) {
i++;
}
/*
* Grab digits before space and units, e.g.,
* Node 0 MemFree: 6348756 kB
*/
while ((i <= buf_len) && (buf[i] != ' ')) {
tmp[k] = buf[i];
k++;
i++;
}
tmp[k] = '\0';
*value = strtol(tmp, NULL, 0);
/* Found, all done. */
found = 1;
break;
}
/* NOT our match, keep looking*/
}
}
return found;
}
size_t sicm_capacity(struct sicm_device* device) {
static const size_t path_len = 100;
char path[path_len];
int i;
switch(device->tag) {
case SICM_DRAM:
case SICM_KNL_HBM:
case SICM_OPTANE:
case SICM_POWERPC_HBM:;
int node = sicm_numa_id(device);
int page_size = sicm_device_page_size(device);
if(page_size == normal_page_size) {
snprintf(path, path_len, "/sys/devices/system/node/node%d/meminfo", node);
int fd = open(path, O_RDONLY);
#if 0
char data[31];
if (read(fd, data, 31) != 31) {
close(fd);
return -1;
}
close(fd);
size_t res = 0;
size_t factor = 1;
for(i = 30; data[i] != ' '; i--) {
res += factor * (data[i] - '0');
factor *= 10;
}
return res;
#else
char data[128];
if (read(fd, data, 128) != 128) {
close(fd);
return -1;
}
close(fd);
size_t res = 0;
int rc = 0;
/* TODO: More testing */
rc = parse_meminfo(data, 128, "MemTotal", &res);
if (rc <= 0) {
fprintf(stderr, "Error: failed to get available memory for node %d\n", node);
return -1;
}
return res;
#endif
}
else {
snprintf(path, path_len, "/sys/devices/system/node/node%d/hugepages/hugepages-%dkB/nr_hugepages", node, page_size);
int fd = open(path, O_RDONLY);
int pages = 0;
char data[10];
while(read(fd, data, 10) > 0) {
for(i = 0; i < 10; i++) {
if(data[i] < '0' || data[i] > '9') break;
pages *= 10;
pages += data[i] - '0';
}
}
close(fd);
return pages * page_size;
}
case INVALID_TAG:
default:
return -1;
}
}
size_t sicm_avail(struct sicm_device* device) {
static const size_t path_len = 100;
char path[path_len];
int i;
switch(device->tag) {
case SICM_DRAM:
case SICM_KNL_HBM:
case SICM_OPTANE:
case SICM_POWERPC_HBM:;
int node = sicm_numa_id(device);
int page_size = sicm_device_page_size(device);
if(page_size == normal_page_size) {
snprintf(path, path_len, "/sys/devices/system/node/node%d/meminfo", node);
int fd = open(path, O_RDONLY);
#if 0
char data[66];
if (read(fd, data, 66) != 66) {
close(fd);
return -1;
}
close(fd);
size_t res = 0;
size_t factor = 1;
for(i = 65; data[i] != ' '; i--) {
res += factor * (data[i] - '0');
factor *= 10;
}
#else
char data[128];
if (read(fd, data, 128) != 128) {
close(fd);
return -1;
}
close(fd);
size_t res = 0;
int rc = 0;
/* TODO: More testing */
rc = parse_meminfo(data, 128, "MemFree", &res);
if (rc <= 0) {
fprintf(stderr, "Error: failed to get available memory for node %d\n", node);
return -1;
}
#endif
return res;
}
else {
snprintf(path, path_len, "/sys/devices/system/node/node%d/hugepages/hugepages-%dkB/free_hugepages", node, page_size);
int fd = open(path, O_RDONLY);
int pages = 0;
char data[10];
while(read(fd, data, 10) > 0) {
for(i = 0; i < 10; i++) {
if(data[i] < '0' || data[i] > '9') break;
pages *= 10;
pages += data[i] - '0';
}
}
close(fd);
return pages * page_size;
}
case INVALID_TAG:
default:
return -1;
}
}
int sicm_model_distance(struct sicm_device* device) {
switch(device->tag) {
case SICM_DRAM:
case SICM_KNL_HBM:
case SICM_OPTANE:
case SICM_POWERPC_HBM:;
int node = sicm_numa_id(device);
return numa_distance(node, numa_node_of_cpu(sched_getcpu()));
case INVALID_TAG:
default:
return -1;
}
}
int sicm_is_near(struct sicm_device* device) {
int dist;
dist = numa_distance(sicm_numa_id(device), numa_node_of_cpu(sched_getcpu()));
switch(device->tag) {
case SICM_DRAM:
return dist == 10;
case SICM_KNL_HBM:
return dist == 31;
case SICM_OPTANE:
return dist == 17;
case SICM_POWERPC_HBM:
return dist == 80;
case INVALID_TAG:
default:
return 0;
}
}
void sicm_latency(struct sicm_device* device, size_t size, int iter, struct sicm_timing* res) {
struct timespec start, end;
int i;
char b = 0;
unsigned int n = time(NULL);
clock_gettime(CLOCK_MONOTONIC_RAW, &start);
char* blob = sicm_device_alloc(device, size);
clock_gettime(CLOCK_MONOTONIC_RAW, &end);
res->alloc = (end.tv_sec - start.tv_sec) * 1000000 + (end.tv_nsec - start.tv_nsec) / 1000;
clock_gettime(CLOCK_MONOTONIC_RAW, &start);
for(i = 0; i < iter; i++) {
sicm_rand(n);
blob[n % size] = 0;
}
clock_gettime(CLOCK_MONOTONIC_RAW, &end);
res->write = (end.tv_sec - start.tv_sec) * 1000000 + (end.tv_nsec - start.tv_nsec) / 1000;
clock_gettime(CLOCK_MONOTONIC_RAW, &start);
for(i = 0; i < iter; i++) {
sicm_rand(n);
b = blob[n % size];
}
clock_gettime(CLOCK_MONOTONIC_RAW, &end);
// Write it back so hopefully it won't compile away the read
blob[0] = b;
res->read = (end.tv_sec - start.tv_sec) * 1000000 + (end.tv_nsec - start.tv_nsec) / 1000;
clock_gettime(CLOCK_MONOTONIC_RAW, &start);
sicm_device_free(device, blob, size);
clock_gettime(CLOCK_MONOTONIC_RAW, &end);
res->free = (end.tv_sec - start.tv_sec) * 1000000 + (end.tv_nsec - start.tv_nsec) / 1000;
}
size_t sicm_bandwidth_linear2(struct sicm_device* device, size_t size,
size_t (*kernel)(double*, double*, size_t)) {
struct timespec start, end;
double* a = sicm_device_alloc(device, size * sizeof(double));
double* b = sicm_device_alloc(device, size * sizeof(double));
unsigned int i;
#pragma omp parallel for
for(i = 0; i < size; i++) {
a[i] = 1;
b[i] = 2;
}
clock_gettime(CLOCK_MONOTONIC_RAW, &start);
size_t accesses = kernel(a, b, size);
clock_gettime(CLOCK_MONOTONIC_RAW, &end);
size_t delta = (end.tv_sec - start.tv_sec) * 1000000 + (end.tv_nsec - start.tv_nsec) / 1000;
sicm_device_free(device, a, size * sizeof(double));
sicm_device_free(device, b, size * sizeof(double));
return accesses / delta;
}
size_t sicm_bandwidth_random2(struct sicm_device* device, size_t size,
size_t (*kernel)(double*, double*, size_t*, size_t)) {
struct timespec start, end;
double* a = sicm_device_alloc(device, size * sizeof(double));
double* b = sicm_device_alloc(device, size * sizeof(double));
size_t* indexes = sicm_device_alloc(device, size * sizeof(size_t));
unsigned int i;
#pragma omp parallel for
for(i = 0; i < size; i++) {
a[i] = 1;
b[i] = 2;
indexes[i] = sicm_hash(i) % size;
}
clock_gettime(CLOCK_MONOTONIC_RAW, &start);
size_t accesses = kernel(a, b, indexes, size);
clock_gettime(CLOCK_MONOTONIC_RAW, &end);
size_t delta = (end.tv_sec - start.tv_sec) * 1000000 + (end.tv_nsec - start.tv_nsec) / 1000;
sicm_device_free(device, a, size * sizeof(double));
sicm_device_free(device, b, size * sizeof(double));
sicm_device_free(device, indexes, size * sizeof(size_t));
return accesses / delta;
}
size_t sicm_bandwidth_linear3(struct sicm_device* device, size_t size,
size_t (*kernel)(double*, double*, double*, size_t)) {
struct timespec start, end;
double* a = sicm_device_alloc(device, 3 * size * sizeof(double));
double* b = &a[size];
double* c = &a[size * 2];
unsigned int i;
#pragma omp parallel for
for(i = 0; i < size; i++) {
a[i] = 1;
b[i] = 2;
c[i] = 3;
}
clock_gettime(CLOCK_MONOTONIC_RAW, &start);
size_t accesses = kernel(a, b, c, size);
clock_gettime(CLOCK_MONOTONIC_RAW, &end);
size_t delta = (end.tv_sec - start.tv_sec) * 1000000 + (end.tv_nsec - start.tv_nsec) / 1000;
sicm_device_free(device, a, 3 * size * sizeof(double));
return accesses / delta;
}
size_t sicm_bandwidth_random3(struct sicm_device* device, size_t size,
size_t (*kernel)(double*, double*, double*, size_t*, size_t)) {
struct timespec start, end;
double* a = sicm_device_alloc(device, size * sizeof(double));
double* b = sicm_device_alloc(device, size * sizeof(double));
double* c = sicm_device_alloc(device, size * sizeof(double));
size_t* indexes = sicm_device_alloc(device, size * sizeof(size_t));
unsigned int i;
#pragma omp parallel for
for(i = 0; i < size; i++) {
a[i] = 1;
b[i] = 2;
c[i] = 3;
indexes[i] = sicm_hash(i) % size;
}
clock_gettime(CLOCK_MONOTONIC_RAW, &start);
size_t accesses = kernel(a, b, c, indexes, size);
clock_gettime(CLOCK_MONOTONIC_RAW, &end);
size_t delta = (end.tv_sec - start.tv_sec) * 1000000 + (end.tv_nsec - start.tv_nsec) / 1000;
sicm_device_free(device, a, size * sizeof(double));
sicm_device_free(device, b, size * sizeof(double));
sicm_device_free(device, c, size * sizeof(double));
sicm_device_free(device, indexes, size * sizeof(size_t));
return accesses / delta;
}
size_t sicm_triad_kernel_linear(double* a, double* b, double* c, size_t size) {
int i;
double scalar = 3.0;
#pragma omp parallel for
for(i = 0; i < size; i++) {
a[i] = b[i] + scalar * c[i];
}
return size * 3 * sizeof(double);
}
size_t sicm_triad_kernel_random(double* a, double* b, double* c, size_t* indexes, size_t size) {
int i, idx;
double scalar = 3.0;
#pragma omp parallel for
for(i = 0; i < size; i++) {
idx = indexes[i];
a[idx] = b[idx] + scalar * c[idx];
}
return size * (sizeof(size_t) + 3 * sizeof(double));
}
|
cancel_taskgroup.c | // RUN: %libomp-compile && env OMP_CANCELLATION=true %libomp-run | %sort-threads | FileCheck %s
// REQUIRES: ompt
// UNSUPPORTED: clang-3, clang-4.0.0
// Current GOMP interface implementation does not support cancellation; icc 16 has a bug
// XFAIL: gcc, icc-16
#include "callback.h"
#include <unistd.h>
#include <stdio.h>
int main()
{
int condition=0;
#pragma omp parallel num_threads(2)
{}
print_frame(0);
#pragma omp parallel num_threads(2)
{
#pragma omp master
{
#pragma omp taskgroup
{
#pragma omp task shared(condition)
{
printf("start execute task 1\n");
OMPT_SIGNAL(condition);
OMPT_WAIT(condition,2);
#pragma omp cancellation point taskgroup
printf("end execute task 1\n");
}
#pragma omp task shared(condition)
{
printf("start execute task 2\n");
OMPT_SIGNAL(condition);
OMPT_WAIT(condition,2);
#pragma omp cancellation point taskgroup
printf("end execute task 2\n");
}
#pragma omp task shared(condition)
{
printf("start execute task 3\n");
OMPT_SIGNAL(condition);
OMPT_WAIT(condition,2);
#pragma omp cancellation point taskgroup
printf("end execute task 3\n");
}
#pragma omp task if(0) shared(condition)
{
printf("start execute task 4\n");
OMPT_WAIT(condition,1);
#pragma omp cancel taskgroup
printf("end execute task 4\n");
}
OMPT_SIGNAL(condition);
}
}
#pragma omp barrier
}
// Check if libomp supports the callbacks for this test.
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_master'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_task_create'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_task_schedule'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_cancel'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_thread_begin'
// CHECK: {{^}}0: NULL_POINTER=[[NULL:.*$]]
// CHECK: {{^}}[[MASTER_ID:[0-9]+]]: ompt_event_master_begin: parallel_id=[[PARALLEL_ID:[0-9]+]], task_id=[[PARENT_TASK_ID:[0-9]+]], codeptr_ra={{0x[0-f]*}}
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_create: parent_task_id=[[PARENT_TASK_ID]], parent_task_frame.exit={{0x[0-f]*}}, parent_task_frame.reenter={{0x[0-f]*}}, new_task_id=[[FIRST_TASK_ID:[0-9]+]], codeptr_ra={{0x[0-f]*}}, task_type=ompt_task_explicit=4, has_dependences=no
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_create: parent_task_id=[[PARENT_TASK_ID]], parent_task_frame.exit={{0x[0-f]*}}, parent_task_frame.reenter={{0x[0-f]*}}, new_task_id=[[SECOND_TASK_ID:[0-9]+]], codeptr_ra={{0x[0-f]*}}, task_type=ompt_task_explicit=4, has_dependences=no
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_create: parent_task_id=[[PARENT_TASK_ID]], parent_task_frame.exit={{0x[0-f]*}}, parent_task_frame.reenter={{0x[0-f]*}}, new_task_id=[[THIRD_TASK_ID:[0-9]+]], codeptr_ra={{0x[0-f]*}}, task_type=ompt_task_explicit=4, has_dependences=no
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_create: parent_task_id=[[PARENT_TASK_ID]], parent_task_frame.exit={{0x[0-f]*}}, parent_task_frame.reenter={{0x[0-f]*}}, new_task_id=[[CANCEL_TASK_ID:[0-9]+]], codeptr_ra={{0x[0-f]*}}, task_type=ompt_task_explicit|ompt_task_undeferred=134217732, has_dependences=no
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_schedule: first_task_id=[[PARENT_TASK_ID]], second_task_id=[[CANCEL_TASK_ID]], prior_task_status=ompt_task_others=4
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_cancel: task_data=[[CANCEL_TASK_ID]], flags=ompt_cancel_taskgroup|ompt_cancel_activated=24, codeptr_ra={{0x[0-f]*}}
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_schedule: first_task_id=[[CANCEL_TASK_ID]], second_task_id=[[PARENT_TASK_ID]], prior_task_status=ompt_task_cancel=3
// CHECK-DAG: {{^}}{{[0-9]+}}: ompt_event_cancel: task_data={{[0-9]+}}, flags=ompt_cancel_taskgroup|ompt_cancel_discarded_task=72, codeptr_ra=[[NULL]]
// CHECK-DAG: {{^}}{{[0-9]+}}: ompt_event_cancel: task_data={{[0-9]+}}, flags=ompt_cancel_taskgroup|ompt_cancel_discarded_task=72, codeptr_ra=[[NULL]]
// CHECK-DAG: {{^}}[[THREAD_ID:[0-9]+]]: ompt_event_thread_begin: thread_type=ompt_thread_worker=2, thread_id=[[THREAD_ID]]
// CHECK-DAG: {{^}}[[THREAD_ID]]: ompt_event_cancel: task_data={{[0-9]+}}, flags=ompt_cancel_taskgroup|ompt_cancel_detected=40, codeptr_ra={{0x[0-f]*}}
return 0;
}
|
GB_unaryop__abs_uint64_uint8.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__abs_uint64_uint8
// op(A') function: GB_tran__abs_uint64_uint8
// C type: uint64_t
// A type: uint8_t
// cast: uint64_t cij = (uint64_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint8_t
#define GB_CTYPE \
uint64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint8_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, aij) \
uint64_t z = (uint64_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_UINT64 || GxB_NO_UINT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_uint64_uint8
(
uint64_t *Cx, // Cx and Ax may be aliased
uint8_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_uint64_uint8
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
state.h | #pragma once
#ifndef STATE_H
#define STATE_H
#include "logger.h"
//#include "pop.h"
struct state{
vector<long long> ptevals; //number of instruction evals
vector<long long> numevals; //number of evals on each thread
vector<int> genevals; //total evals for each generation
vector <int> fit_best;
vector <float> fit_mean;
vector <float> fit_med;
vector <float> fit_std;
vector <float> size_mean;
vector<float> median_lex_cases;
vector<float> median_lex_pool;
// vector<float> median_passes_per_case;
vector <int> size_med;
vector <float> size_std;
vector <float> eff_size;
vector<int> eHC_updates;
vector<int> eHC_ties;
int total_eHC_updates;
float current_eHC_updates;
int total_eHC_ties;
float current_eHC_ties;
vector<int> pHC_updates;
float current_pHC_updates;
int total_pHC_updates;
vector<int> good_cross;
vector<int> bad_cross;
vector<int> neut_cross;
float good_cross_pct;
float neut_cross_pct;
float bad_cross_pct;
logger out;
state()
{
int nt=0;
#if defined(_WIN32)
#pragma omp parallel
{
nt = omp_get_max_threads();
}
#else
#pragma omp parallel
{
nt = omp_get_num_threads();
}
#endif
ptevals.assign(nt,0);
//ptevals.resize(nt);
//numevals.resize(nt);
median_lex_cases.assign(nt, 0);
median_lex_pool.assign(nt, 0);
// median_passes_per_case.assign(nt, 0);
numevals.assign(nt,0);
genevals.push_back(0);
eHC_updates.assign(nt,0);
eHC_ties.assign(nt, 0);
pHC_updates.assign(nt,0);
good_cross.assign(nt,0);
bad_cross.assign(nt,0);
neut_cross.assign(nt,0);
total_eHC_updates=0;
current_eHC_updates = 0;
total_pHC_updates=0;
current_pHC_updates = 0;
total_eHC_ties = 0;
good_cross_pct=0;
neut_cross_pct=0;
}
~state() {}
int getgenevals()
{
return genevals.back();
}
void setgenevals()
{
unsigned long gentmp=0;
for(unsigned int i = 0;i<numevals.size();++i)
gentmp+=numevals.at(i);
genevals.push_back(gentmp - totalevals());
}
long long totalevals()
{
long long te=0;
for(unsigned int i = 0;i<genevals.size();++i)
te+=genevals.at(i);
return te;
}
long long totalptevals()
{
long long te=0;
for(unsigned int i = 0;i<ptevals.size();++i)
te+=ptevals.at(i);
return te;
}
float get_median_lex_cases()
{
float sz = 0;
float mlc = 0;
for (unsigned int i = 0; i < median_lex_cases.size(); ++i) {
if (median_lex_cases[i] > 0) {
++sz;
mlc += median_lex_cases[i];
}
}
return mlc/sz;
//return accumulate(median_lex_cases.begin(),median_lex_cases.end(),0.0)/median_lex_cases.size();
}
float get_median_lex_pool()
{
float sz = 0;
float mlp = 0;
for (unsigned int i = 0; i < median_lex_pool.size(); ++i) {
if (median_lex_pool[i] > 0) {
++sz;
mlp += median_lex_pool[i];
}
}
return mlp / sz;
//return accumulate(median_lex_pool.begin(), median_lex_pool.end(), 0.0) / median_lex_pool.size();
}
// float get_median_passes_per_case()
// {
// float sz = 0;
// float mpc = 0;
// for (unsigned int i = 0; i < median_passes_per_case.size(); ++i) {
// if (median_passes_per_case[i] > 0) {
// ++sz;
// mpc += median_passes_per_case[i];
// }
// }
// if (sz == 0) sz = 1;
// return mpc / sz;
// //return accumulate(median_lex_pool.begin(), median_lex_pool.end(), 0.0) / median_lex_pool.size();
// }
int setPHCupdates()
{
int updates=0;
for(unsigned int i =0;i<pHC_updates.size();++i)
updates+=pHC_updates[i];
int val = (updates-total_pHC_updates);
total_pHC_updates+=val;
current_pHC_updates = float(val);
return val;
}
int setEHCupdates()
{
int updates=0;
for(unsigned int i =0;i<eHC_updates.size();++i)
updates+=eHC_updates[i];
int val = (updates-total_eHC_updates);
total_eHC_updates+=val;
current_eHC_updates = float(val);
return val;
}
int setEHCties()
{
int ties = 0;
for (unsigned int i = 0; i<eHC_ties.size(); ++i)
ties += eHC_ties[i];
int val = (ties - total_eHC_ties);
total_eHC_ties += val;
current_eHC_ties = float(val);
return val;
}
float getGoodCrossPct()
{
float total_good=0;
float total=0;
for(unsigned int i=0;i<good_cross.size();++i)
{
total_good+=good_cross.at(i);
total += good_cross.at(i)+bad_cross.at(i)+neut_cross.at(i);
}
//good_cross.assign(omp_get_max_threads(),0);
if (total==0){
good_cross_pct=0;
return 0;
}
else
{
good_cross_pct = total_good/float(total)*100;
return good_cross_pct;
}
}
float getNeutCrossPct()
{
float total_neut=0;
float total=0;
for(unsigned int i=0;i<neut_cross.size();++i)
{
total_neut+=neut_cross.at(i);
total += neut_cross.at(i)+bad_cross.at(i)+good_cross.at(i);
}
//neut_cross.assign(omp_get_max_threads(),0);
if (total==0){
neut_cross_pct = 0;
return 0;
}
else
{
neut_cross_pct = total_neut/total*100;
return neut_cross_pct;
}
}
float getBadCrossPct()
{
float total_bad=0;
float total=0;
for(unsigned int i=0;i<neut_cross.size();++i)
{
total_bad+=bad_cross.at(i);
total += neut_cross.at(i)+bad_cross.at(i)+good_cross.at(i);
}
clearCross();
if (total==0){
bad_cross_pct = 0;
return 0;
}
else
{
bad_cross_pct = total_bad/total*100;
return bad_cross_pct;
}
}
void clearCross()
{
for (size_t i =0; i<good_cross.size(); ++i){
good_cross[i] = 0;
bad_cross[i] = 0;
neut_cross[i] = 0;
}
}
void setCrossPct(vector<ind>& pop)
{
for(int i=0;i<pop.size();++i)
{
if (pop.at(i).parentfitness > pop.at(i).fitness)
good_cross[omp_get_thread_num()]=good_cross[omp_get_thread_num()]+1;
else if(pop.at(i).parentfitness == pop.at(i).fitness)
neut_cross[omp_get_thread_num()]=neut_cross[omp_get_thread_num()]+1;
else
bad_cross[omp_get_thread_num()]=bad_cross[omp_get_thread_num()]+1;
}
}
void clear()
{
ptevals.clear();
numevals.clear();
genevals.clear();
fit_best.clear();
fit_mean.clear();
fit_med.clear();
fit_std.clear();
size_mean.clear();
size_med.clear();
size_std.clear();
ptevals.resize(omp_get_max_threads());
numevals.resize(omp_get_max_threads());
genevals.push_back(0);
}
};
#endif
|
_sampled_kronecker_products.c | /* Generated by Cython 0.28.2 */
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#define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
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#define __Pyx_GOTREF(r)
#define __Pyx_GIVEREF(r)
#define __Pyx_XINCREF(r) Py_XINCREF(r)
#define __Pyx_XDECREF(r) Py_XDECREF(r)
#define __Pyx_XGOTREF(r)
#define __Pyx_XGIVEREF(r)
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#define __Pyx_XDECREF_SET(r, v) do {\
PyObject *tmp = (PyObject *) r;\
r = v; __Pyx_XDECREF(tmp);\
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#define __Pyx_DECREF_SET(r, v) do {\
PyObject *tmp = (PyObject *) r;\
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#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)
/* PyObjectGetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
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#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
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/* GetBuiltinName.proto */
static PyObject *__Pyx_GetBuiltinName(PyObject *name);
/* RaiseArgTupleInvalid.proto */
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);
/* RaiseDoubleKeywords.proto */
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);
/* ParseKeywords.proto */
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\
const char* function_name);
/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* None.proto */
static void __Pyx_RaiseUnboundMemoryviewSliceNogil(const char *varname);
/* MemviewSliceInit.proto */
#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d
#define __Pyx_MEMVIEW_DIRECT 1
#define __Pyx_MEMVIEW_PTR 2
#define __Pyx_MEMVIEW_FULL 4
#define __Pyx_MEMVIEW_CONTIG 8
#define __Pyx_MEMVIEW_STRIDED 16
#define __Pyx_MEMVIEW_FOLLOW 32
#define __Pyx_IS_C_CONTIG 1
#define __Pyx_IS_F_CONTIG 2
static int __Pyx_init_memviewslice(
struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference);
static CYTHON_INLINE int __pyx_add_acquisition_count_locked(
__pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(
__pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)
#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview))
#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)
#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)
static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);
/* ArgTypeTest.proto */
#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\
__Pyx__ArgTypeTest(obj, type, name, exact))
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);
/* PyObjectCall.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
#else
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif
/* PyThreadStateGet.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate;
#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current;
#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type
#else
#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
#define __Pyx_PyErr_Occurred() PyErr_Occurred()
#endif
/* PyErrFetchRestore.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
#else
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#endif
#else
#define __Pyx_PyErr_Clear() PyErr_Clear()
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb)
#endif
/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
/* PyCFunctionFastCall.proto */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
#else
#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL)
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/* PyFunctionFastCall.proto */
#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
__Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs);
#else
#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
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#endif
/* PyObjectCallMethO.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
#endif
/* PyObjectCallOneArg.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
/* IncludeStringH.proto */
#include <string.h>
/* BytesEquals.proto */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);
/* UnicodeEquals.proto */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);
/* StrEquals.proto */
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
#else
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif
/* None.proto */
static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t);
/* UnaryNegOverflows.proto */
#define UNARY_NEG_WOULD_OVERFLOW(x)\
(((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x)))
static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/
/* GetAttr.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
/* GetItemInt.proto */
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
(is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
__Pyx_GetItemInt_Generic(o, to_py_func(i))))
#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
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/* ObjectGetItem.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);
#else
#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key)
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/* decode_c_string_utf16.proto */
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 0;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = -1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
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static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
/* decode_c_string.proto */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));
/* PyErrExceptionMatches.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);
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#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err)
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/* GetAttr3.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);
/* GetModuleGlobalName.proto */
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name);
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static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
/* RaiseNeedMoreValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
/* RaiseNoneIterError.proto */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
/* ExtTypeTest.proto */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
/* SaveResetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
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#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb)
#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb)
#endif
/* GetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb)
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
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static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* SwapException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
/* FastTypeChecks.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
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#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
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#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
/* ListCompAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len)) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
Py_SIZE(list) = len+1;
return 0;
}
return PyList_Append(list, x);
}
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#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
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/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace);
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#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace)\
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/* ListExtend.proto */
static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
if (unlikely(!none))
return -1;
Py_DECREF(none);
return 0;
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return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
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}
/* ListAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
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Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
Py_SIZE(list) = len+1;
return 0;
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return PyList_Append(list, x);
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#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
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/* None.proto */
static CYTHON_INLINE long __Pyx_div_long(long, long);
/* WriteUnraisableException.proto */
static void __Pyx_WriteUnraisable(const char *name, int clineno,
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int full_traceback, int nogil);
/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
/* HasAttr.proto */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);
/* PyObject_GenericGetAttrNoDict.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);
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#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
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/* PyObject_GenericGetAttr.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);
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#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr
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/* SetVTable.proto */
static int __Pyx_SetVtable(PyObject *dict, void *vtable);
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static int __Pyx_setup_reduce(PyObject* type_obj);
/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
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static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
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/* CodeObjectCache.proto */
typedef struct {
PyCodeObject* code_object;
int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename);
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
#define __Pyx_GetBuffer PyObject_GetBuffer
#define __Pyx_ReleaseBuffer PyBuffer_Release
#endif
/* BufferStructDeclare.proto */
typedef struct {
Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
size_t refcount;
Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
__Pyx_Buffer *rcbuffer;
char *data;
__Pyx_Buf_DimInfo diminfo[8];
} __Pyx_LocalBuf_ND;
/* MemviewSliceIsContig.proto */
static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);
/* OverlappingSlices.proto */
static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize);
/* Capsule.proto */
static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);
/* IsLittleEndian.proto */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void);
/* BufferFormatCheck.proto */
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type);
/* TypeInfoCompare.proto */
static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
/* MemviewSliceValidateAndInit.proto */
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dcd__double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *, int writable_flag);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* MemviewSliceCopyTemplate.proto */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object);
/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
/* CIntFromPy.proto */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *, int writable_flag);
/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);
/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/
static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
/* Module declarations from 'cython.view' */
/* Module declarations from 'cython' */
/* Module declarations from 'rlscore.utilities._sampled_kronecker_products' */
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static int __pyx_memoryview_thread_locks_used;
static PyThread_type_lock __pyx_memoryview_thread_locks[8];
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 };
static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 };
#define __Pyx_MODULE_NAME "rlscore.utilities._sampled_kronecker_products"
extern int __pyx_module_is_main_rlscore__utilities___sampled_kronecker_products;
int __pyx_module_is_main_rlscore__utilities___sampled_kronecker_products = 0;
/* Implementation of 'rlscore.utilities._sampled_kronecker_products' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_id;
static PyObject *__pyx_builtin_IndexError;
static const char __pyx_k_O[] = "O";
static const char __pyx_k_c[] = "c";
static const char __pyx_k_h[] = "h";
static const char __pyx_k_i[] = "i";
static const char __pyx_k_j[] = "j";
static const char __pyx_k_k[] = "k";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_dst[] = "dst";
static const char __pyx_k_new[] = "__new__";
static const char __pyx_k_obj[] = "obj";
static const char __pyx_k_src[] = "src";
static const char __pyx_k_base[] = "base";
static const char __pyx_k_cols[] = "cols";
static const char __pyx_k_dict[] = "__dict__";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_mode[] = "mode";
static const char __pyx_k_name[] = "name";
static const char __pyx_k_ndim[] = "ndim";
static const char __pyx_k_pack[] = "pack";
static const char __pyx_k_rows[] = "rows";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_step[] = "step";
static const char __pyx_k_stop[] = "stop";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_ASCII[] = "ASCII";
static const char __pyx_k_c_dst[] = "c_dst";
static const char __pyx_k_c_src[] = "c_src";
static const char __pyx_k_class[] = "__class__";
static const char __pyx_k_entry[] = "entry";
static const char __pyx_k_error[] = "error";
static const char __pyx_k_flags[] = "flags";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_shape[] = "shape";
static const char __pyx_k_start[] = "start";
static const char __pyx_k_encode[] = "encode";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_name_2[] = "__name__";
static const char __pyx_k_pickle[] = "pickle";
static const char __pyx_k_reduce[] = "__reduce__";
static const char __pyx_k_struct[] = "struct";
static const char __pyx_k_unpack[] = "unpack";
static const char __pyx_k_update[] = "update";
static const char __pyx_k_fortran[] = "fortran";
static const char __pyx_k_memview[] = "memview";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_col_inds[] = "col_inds";
static const char __pyx_k_colcount[] = "colcount";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_innerind[] = "innerind";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_outerind[] = "outerind";
static const char __pyx_k_pyx_type[] = "__pyx_type";
static const char __pyx_k_row_inds[] = "row_inds";
static const char __pyx_k_rowcount[] = "rowcount";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_pyx_state[] = "__pyx_state";
static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
static const char __pyx_k_subsetlen[] = "subsetlen";
static const char __pyx_k_IndexError[] = "IndexError";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_cpy_reorder[] = "cpy_reorder";
static const char __pyx_k_dense_width[] = "dense_width";
static const char __pyx_k_entry_count[] = "entry_count";
static const char __pyx_k_matrix_left[] = "matrix_left";
static const char __pyx_k_dense_height[] = "dense_height";
static const char __pyx_k_dense_matrix[] = "dense_matrix";
static const char __pyx_k_matrix_right[] = "matrix_right";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_sparse_matrix[] = "sparse_matrix";
static const char __pyx_k_View_MemoryView[] = "View.MemoryView";
static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
static const char __pyx_k_dtype_is_object[] = "dtype_is_object";
static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError";
static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_sparse_mat_from_left[] = "sparse_mat_from_left";
static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static const char __pyx_k_sparse_mat_from_right[] = "sparse_mat_from_right";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static const char __pyx_k_sparse_mat_from_left_old[] = "sparse_mat_from_left_old";
static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static const char __pyx_k_sparse_mat_from_right_old[] = "sparse_mat_from_right_old";
static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview";
static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_compute_subset_of_matprod_entrie[] = "compute_subset_of_matprod_entries";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
static const char __pyx_k_rlscore_utilities__sampled_krone[] = "rlscore/utilities/_sampled_kronecker_products.pyx";
static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
static const char __pyx_k_rlscore_utilities__sampled_krone_2[] = "rlscore.utilities._sampled_kronecker_products";
static PyObject *__pyx_n_s_ASCII;
static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;
static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;
static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;
static PyObject *__pyx_n_s_IndexError;
static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
static PyObject *__pyx_n_s_MemoryError;
static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
static PyObject *__pyx_kp_s_MemoryView_of_r_object;
static PyObject *__pyx_n_b_O;
static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
static PyObject *__pyx_n_s_PickleError;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_View_MemoryView;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_n_s_c_dst;
static PyObject *__pyx_n_s_c_src;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_col_inds;
static PyObject *__pyx_n_s_colcount;
static PyObject *__pyx_n_s_cols;
static PyObject *__pyx_n_s_compute_subset_of_matprod_entrie;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_cpy_reorder;
static PyObject *__pyx_n_s_dense_height;
static PyObject *__pyx_n_s_dense_matrix;
static PyObject *__pyx_n_s_dense_width;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_dst;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_entry;
static PyObject *__pyx_n_s_entry_count;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
static PyObject *__pyx_n_s_h;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_innerind;
static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
static PyObject *__pyx_n_s_j;
static PyObject *__pyx_n_s_k;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_matrix_left;
static PyObject *__pyx_n_s_matrix_right;
static PyObject *__pyx_n_s_memview;
static PyObject *__pyx_n_s_mode;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_name_2;
static PyObject *__pyx_n_s_ndim;
static PyObject *__pyx_n_s_new;
static PyObject *__pyx_kp_s_no_default___reduce___due_to_non;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_outerind;
static PyObject *__pyx_n_s_pack;
static PyObject *__pyx_n_s_pickle;
static PyObject *__pyx_n_s_pyx_PickleError;
static PyObject *__pyx_n_s_pyx_checksum;
static PyObject *__pyx_n_s_pyx_getbuffer;
static PyObject *__pyx_n_s_pyx_result;
static PyObject *__pyx_n_s_pyx_state;
static PyObject *__pyx_n_s_pyx_type;
static PyObject *__pyx_n_s_pyx_unpickle_Enum;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_reduce;
static PyObject *__pyx_n_s_reduce_cython;
static PyObject *__pyx_n_s_reduce_ex;
static PyObject *__pyx_kp_s_rlscore_utilities__sampled_krone;
static PyObject *__pyx_n_s_rlscore_utilities__sampled_krone_2;
static PyObject *__pyx_n_s_row_inds;
static PyObject *__pyx_n_s_rowcount;
static PyObject *__pyx_n_s_rows;
static PyObject *__pyx_n_s_setstate;
static PyObject *__pyx_n_s_setstate_cython;
static PyObject *__pyx_n_s_shape;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_sparse_mat_from_left;
static PyObject *__pyx_n_s_sparse_mat_from_left_old;
static PyObject *__pyx_n_s_sparse_mat_from_right;
static PyObject *__pyx_n_s_sparse_mat_from_right_old;
static PyObject *__pyx_n_s_sparse_matrix;
static PyObject *__pyx_n_s_src;
static PyObject *__pyx_n_s_start;
static PyObject *__pyx_n_s_step;
static PyObject *__pyx_n_s_stop;
static PyObject *__pyx_kp_s_strided_and_direct;
static PyObject *__pyx_kp_s_strided_and_direct_or_indirect;
static PyObject *__pyx_kp_s_strided_and_indirect;
static PyObject *__pyx_kp_s_stringsource;
static PyObject *__pyx_n_s_struct;
static PyObject *__pyx_n_s_subsetlen;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_kp_s_unable_to_allocate_array_data;
static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str;
static PyObject *__pyx_n_s_unpack;
static PyObject *__pyx_n_s_update;
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* have_step = index.step is not None
*
* slice_memviewslice( # <<<<<<<<<<<<<<
* p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim],
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*/
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/* "View.MemoryView":769
* have_start, have_stop, have_step,
* True)
* new_ndim += 1 # <<<<<<<<<<<<<<
*
* if isinstance(memview, _memoryviewslice):
*/
__pyx_v_new_ndim = (__pyx_v_new_ndim + 1);
}
__pyx_L6:;
/* "View.MemoryView":741
* cdef bint have_start, have_stop, have_step
*
* for dim, index in enumerate(indices): # <<<<<<<<<<<<<<
* if PyIndex_Check(index):
* slice_memviewslice(
*/
}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
/* "View.MemoryView":771
* new_ndim += 1
*
* if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<<
* return memoryview_fromslice(dst, new_ndim,
* memviewsliceobj.to_object_func,
*/
__pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type);
__pyx_t_2 = (__pyx_t_1 != 0);
if (__pyx_t_2) {
/* "View.MemoryView":772
*
* if isinstance(memview, _memoryviewslice):
* return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<<
* memviewsliceobj.to_object_func,
* memviewsliceobj.to_dtype_func,
*/
__Pyx_XDECREF(((PyObject *)__pyx_r));
/* "View.MemoryView":773
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* memviewsliceobj.to_object_func, # <<<<<<<<<<<<<<
* memviewsliceobj.to_dtype_func,
* memview.dtype_is_object)
*/
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/* "View.MemoryView":774
* return memoryview_fromslice(dst, new_ndim,
* memviewsliceobj.to_object_func,
* memviewsliceobj.to_dtype_func, # <<<<<<<<<<<<<<
* memview.dtype_is_object)
* else:
*/
if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(1, 774, __pyx_L1_error) }
/* "View.MemoryView":772
*
* if isinstance(memview, _memoryviewslice):
* return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<<
* memviewsliceobj.to_object_func,
* memviewsliceobj.to_dtype_func,
*/
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__Pyx_GOTREF(__pyx_t_3);
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 772, __pyx_L1_error)
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__pyx_t_3 = 0;
goto __pyx_L0;
/* "View.MemoryView":771
* new_ndim += 1
*
* if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<<
* return memoryview_fromslice(dst, new_ndim,
* memviewsliceobj.to_object_func,
*/
}
/* "View.MemoryView":777
* memview.dtype_is_object)
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* memview.dtype_is_object)
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*/
/*else*/ {
__Pyx_XDECREF(((PyObject *)__pyx_r));
/* "View.MemoryView":778
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* memview.dtype_is_object) # <<<<<<<<<<<<<<
*
*
*/
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__Pyx_GOTREF(__pyx_t_3);
/* "View.MemoryView":777
* memview.dtype_is_object)
* else:
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* memview.dtype_is_object)
*
*/
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 777, __pyx_L1_error)
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__pyx_t_3 = 0;
goto __pyx_L0;
}
/* "View.MemoryView":705
*
* @cname('__pyx_memview_slice')
* cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<<
* cdef int new_ndim = 0, suboffset_dim = -1, dim
* cdef bint negative_step
*/
/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_9);
__Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj);
__Pyx_XDECREF(__pyx_v_index);
__Pyx_XGIVEREF((PyObject *)__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
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/* "View.MemoryView":802
*
* @cname('__pyx_memoryview_slice_memviewslice')
* cdef int slice_memviewslice( # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset,
*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) {
Py_ssize_t __pyx_v_new_shape;
int __pyx_v_negative_step;
int __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
/* "View.MemoryView":822
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
__pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":824
* if not is_slice:
*
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if not 0 <= start < shape:
*/
__pyx_t_1 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":825
*
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if not 0 <= start < shape:
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":824
* if not is_slice:
*
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if not 0 <= start < shape:
*/
}
/* "View.MemoryView":826
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
__pyx_t_1 = (0 <= __pyx_v_start);
if (__pyx_t_1) {
__pyx_t_1 = (__pyx_v_start < __pyx_v_shape);
}
__pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":827
* start += shape
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* else:
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 827, __pyx_L1_error)
/* "View.MemoryView":826
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
}
/* "View.MemoryView":822
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
goto __pyx_L3;
}
/* "View.MemoryView":830
* else:
*
* negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<<
*
* if have_step and step == 0:
*/
/*else*/ {
__pyx_t_1 = ((__pyx_v_have_step != 0) != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L6_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step < 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L6_bool_binop_done:;
__pyx_v_negative_step = __pyx_t_2;
/* "View.MemoryView":832
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
__pyx_t_1 = (__pyx_v_have_step != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L9_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step == 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L9_bool_binop_done:;
if (__pyx_t_2) {
/* "View.MemoryView":833
*
* if have_step and step == 0:
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 833, __pyx_L1_error)
/* "View.MemoryView":832
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
}
/* "View.MemoryView":836
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
__pyx_t_2 = (__pyx_v_have_start != 0);
if (__pyx_t_2) {
/* "View.MemoryView":837
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":838
* if have_start:
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if start < 0:
* start = 0
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":839
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":840
* start += shape
* if start < 0:
* start = 0 # <<<<<<<<<<<<<<
* elif start >= shape:
* if negative_step:
*/
__pyx_v_start = 0;
/* "View.MemoryView":839
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
}
/* "View.MemoryView":837
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
goto __pyx_L12;
}
/* "View.MemoryView":841
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
__pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":842
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":843
* elif start >= shape:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = shape
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":842
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L14;
}
/* "View.MemoryView":845
* start = shape - 1
* else:
* start = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
/*else*/ {
__pyx_v_start = __pyx_v_shape;
}
__pyx_L14:;
/* "View.MemoryView":841
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
}
__pyx_L12:;
/* "View.MemoryView":836
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
goto __pyx_L11;
}
/* "View.MemoryView":847
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":848
* else:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = 0
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":847
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L15;
}
/* "View.MemoryView":850
* start = shape - 1
* else:
* start = 0 # <<<<<<<<<<<<<<
*
* if have_stop:
*/
/*else*/ {
__pyx_v_start = 0;
}
__pyx_L15:;
}
__pyx_L11:;
/* "View.MemoryView":852
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
__pyx_t_2 = (__pyx_v_have_stop != 0);
if (__pyx_t_2) {
/* "View.MemoryView":853
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":854
* if have_stop:
* if stop < 0:
* stop += shape # <<<<<<<<<<<<<<
* if stop < 0:
* stop = 0
*/
__pyx_v_stop = (__pyx_v_stop + __pyx_v_shape);
/* "View.MemoryView":855
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":856
* stop += shape
* if stop < 0:
* stop = 0 # <<<<<<<<<<<<<<
* elif stop > shape:
* stop = shape
*/
__pyx_v_stop = 0;
/* "View.MemoryView":855
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
}
/* "View.MemoryView":853
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
goto __pyx_L17;
}
/* "View.MemoryView":857
* if stop < 0:
* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
* stop = shape
* else:
*/
__pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":858
* stop = 0
* elif stop > shape:
* stop = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
__pyx_v_stop = __pyx_v_shape;
/* "View.MemoryView":857
* if stop < 0:
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* elif stop > shape: # <<<<<<<<<<<<<<
* stop = shape
* else:
*/
}
__pyx_L17:;
/* "View.MemoryView":852
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
goto __pyx_L16;
}
/* "View.MemoryView":860
* stop = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* stop = -1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":861
* else:
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* else:
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*/
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/* "View.MemoryView":860
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* if negative_step: # <<<<<<<<<<<<<<
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* else:
*/
goto __pyx_L19;
}
/* "View.MemoryView":863
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* else:
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*
* if not have_step:
*/
/*else*/ {
__pyx_v_stop = __pyx_v_shape;
}
__pyx_L19:;
}
__pyx_L16:;
/* "View.MemoryView":865
* stop = shape
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* if not have_step: # <<<<<<<<<<<<<<
* step = 1
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*/
__pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0);
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/* "View.MemoryView":866
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* if not have_step:
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*
*
*/
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/* "View.MemoryView":865
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* if not have_step: # <<<<<<<<<<<<<<
* step = 1
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*/
}
/* "View.MemoryView":870
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* with cython.cdivision(True):
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*
* if (stop - start) - step * new_shape:
*/
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/* "View.MemoryView":872
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*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
* new_shape += 1
*
*/
__pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":873
*
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*
* if new_shape < 0:
*/
__pyx_v_new_shape = (__pyx_v_new_shape + 1);
/* "View.MemoryView":872
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*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
* new_shape += 1
*
*/
}
/* "View.MemoryView":875
* new_shape += 1
*
* if new_shape < 0: # <<<<<<<<<<<<<<
* new_shape = 0
*
*/
__pyx_t_2 = ((__pyx_v_new_shape < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":876
*
* if new_shape < 0:
* new_shape = 0 # <<<<<<<<<<<<<<
*
*
*/
__pyx_v_new_shape = 0;
/* "View.MemoryView":875
* new_shape += 1
*
* if new_shape < 0: # <<<<<<<<<<<<<<
* new_shape = 0
*
*/
}
/* "View.MemoryView":879
*
*
* dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<<
* dst.shape[new_ndim] = new_shape
* dst.suboffsets[new_ndim] = suboffset
*/
(__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step);
/* "View.MemoryView":880
*
* dst.strides[new_ndim] = stride * step
* dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<<
* dst.suboffsets[new_ndim] = suboffset
*
*/
(__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape;
/* "View.MemoryView":881
* dst.strides[new_ndim] = stride * step
* dst.shape[new_ndim] = new_shape
* dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<<
*
*
*/
(__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset;
}
__pyx_L3:;
/* "View.MemoryView":884
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
*/
__pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":885
*
* if suboffset_dim[0] < 0:
* dst.data += start * stride # <<<<<<<<<<<<<<
* else:
* dst.suboffsets[suboffset_dim[0]] += start * stride
*/
__pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride));
/* "View.MemoryView":884
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
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/* "View.MemoryView":1105
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0: # <<<<<<<<<<<<<<
* return -arg
* else:
*/
}
/* "View.MemoryView":1108
* return -arg
* else:
* return arg # <<<<<<<<<<<<<<
*
* @cname('__pyx_get_best_slice_order')
*/
/*else*/ {
__pyx_r = __pyx_v_arg;
goto __pyx_L0;
}
/* "View.MemoryView":1104
*
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<<
* if arg < 0:
* return -arg
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1111
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) {
int __pyx_v_i;
Py_ssize_t __pyx_v_c_stride;
Py_ssize_t __pyx_v_f_stride;
char __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1116
* """
* cdef int i
* cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<<
* cdef Py_ssize_t f_stride = 0
*
*/
__pyx_v_c_stride = 0;
/* "View.MemoryView":1117
* cdef int i
* cdef Py_ssize_t c_stride = 0
* cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<<
*
* for i in range(ndim - 1, -1, -1):
*/
__pyx_v_f_stride = 0;
/* "View.MemoryView":1119
* cdef Py_ssize_t f_stride = 0
*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i]
*/
for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
/* "View.MemoryView":1120
*
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* c_stride = mslice.strides[i]
* break
*/
__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1121
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1122
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
goto __pyx_L4_break;
/* "View.MemoryView":1120
*
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* c_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L4_break:;
/* "View.MemoryView":1124
* break
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
*/
__pyx_t_1 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_1;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1125
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1126
* for i in range(ndim):
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1127
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
*/
goto __pyx_L7_break;
/* "View.MemoryView":1125
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L7_break:;
/* "View.MemoryView":1129
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
__pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1130
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
* return 'C' # <<<<<<<<<<<<<<
* else:
* return 'F'
*/
__pyx_r = 'C';
goto __pyx_L0;
/* "View.MemoryView":1129
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
}
/* "View.MemoryView":1132
* return 'C'
* else:
* return 'F' # <<<<<<<<<<<<<<
*
* @cython.cdivision(True)
*/
/*else*/ {
__pyx_r = 'F';
goto __pyx_L0;
}
/* "View.MemoryView":1111
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1135
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
CYTHON_UNUSED Py_ssize_t __pyx_v_i;
CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
Py_ssize_t __pyx_v_dst_extent;
Py_ssize_t __pyx_v_src_stride;
Py_ssize_t __pyx_v_dst_stride;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
Py_ssize_t __pyx_t_4;
Py_ssize_t __pyx_t_5;
Py_ssize_t __pyx_t_6;
/* "View.MemoryView":1142
*
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
*/
__pyx_v_src_extent = (__pyx_v_src_shape[0]);
/* "View.MemoryView":1143
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0]
*/
__pyx_v_dst_extent = (__pyx_v_dst_shape[0]);
/* "View.MemoryView":1144
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
*/
__pyx_v_src_stride = (__pyx_v_src_strides[0]);
/* "View.MemoryView":1145
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<<
*
* if ndim == 1:
*/
__pyx_v_dst_stride = (__pyx_v_dst_strides[0]);
/* "View.MemoryView":1147
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1148
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
__pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
__pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
/* "View.MemoryView":1149
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
*/
__pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);
if (__pyx_t_2) {
__pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));
}
__pyx_t_3 = (__pyx_t_2 != 0);
__pyx_t_1 = __pyx_t_3;
__pyx_L5_bool_binop_done:;
/* "View.MemoryView":1148
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
if (__pyx_t_1) {
/* "View.MemoryView":1150
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));
/* "View.MemoryView":1148
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
goto __pyx_L4;
}
/* "View.MemoryView":1152
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1153
* else:
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<<
* src_data += src_stride
* dst_data += dst_stride
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize));
/* "View.MemoryView":1154
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
* else:
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1155
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L4:;
/* "View.MemoryView":1147
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
goto __pyx_L3;
}
/* "View.MemoryView":1157
* dst_data += dst_stride
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* _copy_strided_to_strided(src_data, src_strides + 1,
* dst_data, dst_strides + 1,
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1158
* else:
* for i in range(dst_extent):
* _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<<
* dst_data, dst_strides + 1,
* src_shape + 1, dst_shape + 1,
*/
_copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);
/* "View.MemoryView":1162
* src_shape + 1, dst_shape + 1,
* ndim - 1, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
*
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1163
* ndim - 1, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src,
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L3:;
/* "View.MemoryView":1135
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
/* function exit code */
}
/* "View.MemoryView":1165
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
/* "View.MemoryView":1168
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
* _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<<
* src.shape, dst.shape, ndim, itemsize)
*
*/
_copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1165
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1172
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef int i
*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
int __pyx_v_i;
Py_ssize_t __pyx_v_size;
Py_ssize_t __pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1175
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef int i
* cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_size = __pyx_t_1;
/* "View.MemoryView":1177
* cdef Py_ssize_t size = src.memview.view.itemsize
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* size *= src.shape[i]
*
*/
__pyx_t_2 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_2;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1178
*
* for i in range(ndim):
* size *= src.shape[i] # <<<<<<<<<<<<<<
*
* return size
*/
__pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i]));
}
/* "View.MemoryView":1180
* size *= src.shape[i]
*
* return size # <<<<<<<<<<<<<<
*
* @cname('__pyx_fill_contig_strides_array')
*/
__pyx_r = __pyx_v_size;
goto __pyx_L0;
/* "View.MemoryView":1172
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef int i
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1183
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {
int __pyx_v_idx;
Py_ssize_t __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1192
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
__pyx_t_1 = ((__pyx_v_order == 'F') != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1193
*
* if order == 'F':
* for idx in range(ndim): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride = stride * shape[idx]
*/
__pyx_t_2 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_2;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_idx = __pyx_t_4;
/* "View.MemoryView":1194
* if order == 'F':
* for idx in range(ndim):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride = stride * shape[idx]
* else:
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1195
* for idx in range(ndim):
* strides[idx] = stride
* stride = stride * shape[idx] # <<<<<<<<<<<<<<
* else:
* for idx in range(ndim - 1, -1, -1):
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
/* "View.MemoryView":1192
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
goto __pyx_L3;
}
/* "View.MemoryView":1197
* stride = stride * shape[idx]
* else:
* for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride = stride * shape[idx]
*/
/*else*/ {
for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) {
__pyx_v_idx = __pyx_t_2;
/* "View.MemoryView":1198
* else:
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride = stride * shape[idx]
*
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1199
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride
* stride = stride * shape[idx] # <<<<<<<<<<<<<<
*
* return stride
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
}
__pyx_L3:;
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*/
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void *__pyx_v_tmpdata;
size_t __pyx_v_itemsize;
int __pyx_v_i;
char __pyx_v_order;
int __pyx_v_broadcasting;
int __pyx_v_direct_copy;
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int __pyx_v_ndim;
int __pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
int __pyx_t_5;
int __pyx_t_6;
void *__pyx_t_7;
int __pyx_t_8;
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* cdef int i
*/
__pyx_v_tmpdata = NULL;
/* "View.MemoryView":1273
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* cdef int i
* cdef char order = get_best_order(&src, src_ndim)
*/
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* cdef bint broadcasting = False
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* cdef __Pyx_memviewslice tmp
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* cdef __Pyx_memviewslice tmp
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* broadcast_leading(&dst, dst_ndim, src_ndim)
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*
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__pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim);
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* broadcast_leading(&dst, dst_ndim, src_ndim)
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*/
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* if src.shape[i] == 1:
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*/
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__pyx_L12:;
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* free(tmpdata)
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/* "View.MemoryView":1319
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* return 0
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*
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*
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* refcount_copying(&dst, dtype_is_object, ndim, True)
*
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__pyx_tp_new_Enum, /*tp_new*/
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__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
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#if PY_MAJOR_VERSION < 3
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#if PY_MAJOR_VERSION >= 3
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&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
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0, /*tp_call*/
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0, /*tp_getattro*/
0, /*tp_setattro*/
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__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
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struct __pyx_memoryviewslice_obj *p;
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PyObject *etype, *eval, *etb;
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PyErr_Restore(etype, eval, etb);
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Py_XDECREF(tmp);
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__pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
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__pyx_tp_new__memoryviewslice, /*tp_new*/
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{0, NULL}
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else if (exact) {
#if PY_MAJOR_VERSION == 2
if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
#endif
}
else {
if (likely(__Pyx_TypeCheck(obj, type))) return 1;
}
PyErr_Format(PyExc_TypeError,
"Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
name, type->tp_name, Py_TYPE(obj)->tp_name);
return 0;
}
/* PyObjectCall */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
ternaryfunc call = func->ob_type->tp_call;
if (unlikely(!call))
return PyObject_Call(func, arg, kw);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = (*call)(func, arg, kw);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyErrFetchRestore */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = type;
tstate->curexc_value = value;
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
}
#endif
/* RaiseException */
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
__Pyx_PyThreadState_declare
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
}
if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
if (!value) {
Py_INCREF(Py_None);
value = Py_None;
}
#endif
PyErr_NormalizeException(&type, &value, &tb);
} else {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
value = type;
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
}
__Pyx_PyThreadState_assign
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
PyObject* owned_instance = NULL;
if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (PyExceptionClass_Check(type)) {
PyObject *instance_class = NULL;
if (value && PyExceptionInstance_Check(value)) {
instance_class = (PyObject*) Py_TYPE(value);
if (instance_class != type) {
int is_subclass = PyObject_IsSubclass(instance_class, type);
if (!is_subclass) {
instance_class = NULL;
} else if (unlikely(is_subclass == -1)) {
goto bad;
} else {
type = instance_class;
}
}
}
if (!instance_class) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
} else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyObject_Call(type, args, NULL);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
if (cause) {
PyObject *fixed_cause;
if (cause == Py_None) {
fixed_cause = NULL;
} else if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
} else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
} else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
#if CYTHON_COMPILING_IN_PYPY
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
Py_INCREF(tb);
PyErr_Restore(tmp_type, tmp_value, tb);
Py_XDECREF(tmp_tb);
#else
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
#endif
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
PyCFunction meth = PyCFunction_GET_FUNCTION(func);
PyObject *self = PyCFunction_GET_SELF(func);
int flags = PyCFunction_GET_FLAGS(func);
assert(PyCFunction_Check(func));
assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS)));
assert(nargs >= 0);
assert(nargs == 0 || args != NULL);
/* _PyCFunction_FastCallDict() must not be called with an exception set,
because it may clear it (directly or indirectly) and so the
caller loses its exception */
assert(!PyErr_Occurred());
if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
return (*((__Pyx_PyCFunctionFastWithKeywords)meth)) (self, args, nargs, NULL);
} else {
return (*((__Pyx_PyCFunctionFast)meth)) (self, args, nargs);
}
}
#endif
/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
#include "frameobject.h"
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
PyObject *globals) {
PyFrameObject *f;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject **fastlocals;
Py_ssize_t i;
PyObject *result;
assert(globals != NULL);
/* XXX Perhaps we should create a specialized
PyFrame_New() that doesn't take locals, but does
take builtins without sanity checking them.
*/
assert(tstate != NULL);
f = PyFrame_New(tstate, co, globals, NULL);
if (f == NULL) {
return NULL;
}
fastlocals = f->f_localsplus;
for (i = 0; i < na; i++) {
Py_INCREF(*args);
fastlocals[i] = *args++;
}
result = PyEval_EvalFrameEx(f,0);
++tstate->recursion_depth;
Py_DECREF(f);
--tstate->recursion_depth;
return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) {
PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
PyObject *globals = PyFunction_GET_GLOBALS(func);
PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
PyObject *closure;
#if PY_MAJOR_VERSION >= 3
PyObject *kwdefs;
#endif
PyObject *kwtuple, **k;
PyObject **d;
Py_ssize_t nd;
Py_ssize_t nk;
PyObject *result;
assert(kwargs == NULL || PyDict_Check(kwargs));
nk = kwargs ? PyDict_Size(kwargs) : 0;
if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
return NULL;
}
if (
#if PY_MAJOR_VERSION >= 3
co->co_kwonlyargcount == 0 &&
#endif
likely(kwargs == NULL || nk == 0) &&
co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
if (argdefs == NULL && co->co_argcount == nargs) {
result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
goto done;
}
else if (nargs == 0 && argdefs != NULL
&& co->co_argcount == Py_SIZE(argdefs)) {
/* function called with no arguments, but all parameters have
a default value: use default values as arguments .*/
args = &PyTuple_GET_ITEM(argdefs, 0);
result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
goto done;
}
}
if (kwargs != NULL) {
Py_ssize_t pos, i;
kwtuple = PyTuple_New(2 * nk);
if (kwtuple == NULL) {
result = NULL;
goto done;
}
k = &PyTuple_GET_ITEM(kwtuple, 0);
pos = i = 0;
while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
Py_INCREF(k[i]);
Py_INCREF(k[i+1]);
i += 2;
}
nk = i / 2;
}
else {
kwtuple = NULL;
k = NULL;
}
closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
if (argdefs != NULL) {
d = &PyTuple_GET_ITEM(argdefs, 0);
nd = Py_SIZE(argdefs);
}
else {
d = NULL;
nd = 0;
}
#if PY_MAJOR_VERSION >= 3
result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
args, nargs,
k, (int)nk,
d, (int)nd, kwdefs, closure);
#else
result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
args, nargs,
k, (int)nk,
d, (int)nd, closure);
#endif
Py_XDECREF(kwtuple);
done:
Py_LeaveRecursiveCall();
return result;
}
#endif
#endif
/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, &arg, 1);
}
#endif
if (likely(PyCFunction_Check(func))) {
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
} else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
if (s1 == s2) {
return (equals == Py_EQ);
} else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
const char *ps1, *ps2;
Py_ssize_t length = PyBytes_GET_SIZE(s1);
if (length != PyBytes_GET_SIZE(s2))
return (equals == Py_NE);
ps1 = PyBytes_AS_STRING(s1);
ps2 = PyBytes_AS_STRING(s2);
if (ps1[0] != ps2[0]) {
return (equals == Py_NE);
} else if (length == 1) {
return (equals == Py_EQ);
} else {
int result;
#if CYTHON_USE_UNICODE_INTERNALS
Py_hash_t hash1, hash2;
hash1 = ((PyBytesObject*)s1)->ob_shash;
hash2 = ((PyBytesObject*)s2)->ob_shash;
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
return (equals == Py_NE);
}
#endif
result = memcmp(ps1, ps2, (size_t)length);
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
return (equals == Py_NE);
} else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
return (equals == Py_NE);
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
#endif
}
/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
PyObject* owned_ref = NULL;
#endif
int s1_is_unicode, s2_is_unicode;
if (s1 == s2) {
goto return_eq;
}
s1_is_unicode = PyUnicode_CheckExact(s1);
s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
owned_ref = PyUnicode_FromObject(s2);
if (unlikely(!owned_ref))
return -1;
s2 = owned_ref;
s2_is_unicode = 1;
} else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
owned_ref = PyUnicode_FromObject(s1);
if (unlikely(!owned_ref))
return -1;
s1 = owned_ref;
s1_is_unicode = 1;
} else if (((!s2_is_unicode) & (!s1_is_unicode))) {
return __Pyx_PyBytes_Equals(s1, s2, equals);
}
#endif
if (s1_is_unicode & s2_is_unicode) {
Py_ssize_t length;
int kind;
void *data1, *data2;
if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
return -1;
length = __Pyx_PyUnicode_GET_LENGTH(s1);
if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
goto return_ne;
}
#if CYTHON_USE_UNICODE_INTERNALS
{
Py_hash_t hash1, hash2;
#if CYTHON_PEP393_ENABLED
hash1 = ((PyASCIIObject*)s1)->hash;
hash2 = ((PyASCIIObject*)s2)->hash;
#else
hash1 = ((PyUnicodeObject*)s1)->hash;
hash2 = ((PyUnicodeObject*)s2)->hash;
#endif
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
goto return_ne;
}
}
#endif
kind = __Pyx_PyUnicode_KIND(s1);
if (kind != __Pyx_PyUnicode_KIND(s2)) {
goto return_ne;
}
data1 = __Pyx_PyUnicode_DATA(s1);
data2 = __Pyx_PyUnicode_DATA(s2);
if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
goto return_ne;
} else if (length == 1) {
goto return_eq;
} else {
int result = memcmp(data1, data2, (size_t)(length * kind));
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & s2_is_unicode) {
goto return_ne;
} else if ((s2 == Py_None) & s1_is_unicode) {
goto return_ne;
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
return_eq:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ);
return_ne:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_NE);
#endif
}
/* None */
static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) {
Py_ssize_t q = a / b;
Py_ssize_t r = a - q*b;
q -= ((r != 0) & ((r ^ b) < 0));
return q;
}
/* GetAttr */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_USE_TYPE_SLOTS
#if PY_MAJOR_VERSION >= 3
if (likely(PyUnicode_Check(n)))
#else
if (likely(PyString_Check(n)))
#endif
return __Pyx_PyObject_GetAttrStr(o, n);
#endif
return PyObject_GetAttr(o, n);
}
/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyList_GET_SIZE(o);
}
if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyTuple_GET_SIZE(o);
}
if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
return NULL;
PyErr_Clear();
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
PyObject *runerr;
Py_ssize_t key_value;
PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
if (unlikely(!(m && m->sq_item))) {
PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
return NULL;
}
key_value = __Pyx_PyIndex_AsSsize_t(index);
if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
}
if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
PyErr_Clear();
PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
}
return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
if (likely(m && m->mp_subscript)) {
return m->mp_subscript(obj, key);
}
return __Pyx_PyObject_GetIndex(obj, key);
}
#endif
/* decode_c_string */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
size_t slen = strlen(cstring);
if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
PyErr_SetString(PyExc_OverflowError,
"c-string too long to convert to Python");
return NULL;
}
length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
start = 0;
}
if (stop < 0)
stop += length;
}
length = stop - start;
if (unlikely(length <= 0))
return PyUnicode_FromUnicode(NULL, 0);
cstring += start;
if (decode_func) {
return decode_func(cstring, length, errors);
} else {
return PyUnicode_Decode(cstring, length, encoding, errors);
}
}
/* PyErrExceptionMatches */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
PyObject *exc_type = tstate->curexc_type;
if (exc_type == err) return 1;
if (unlikely(!exc_type)) return 0;
if (unlikely(PyTuple_Check(err)))
return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif
/* GetAttr3 */
static PyObject *__Pyx_GetAttr3Default(PyObject *d) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
return NULL;
__Pyx_PyErr_Clear();
Py_INCREF(d);
return d;
}
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {
PyObject *r = __Pyx_GetAttr(o, n);
return (likely(r)) ? r : __Pyx_GetAttr3Default(d);
}
/* GetModuleGlobalName */
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
if (likely(result)) {
Py_INCREF(result);
} else if (unlikely(PyErr_Occurred())) {
result = NULL;
} else {
#else
result = PyDict_GetItem(__pyx_d, name);
if (likely(result)) {
Py_INCREF(result);
} else {
#endif
#else
result = PyObject_GetItem(__pyx_d, name);
if (!result) {
PyErr_Clear();
#endif
result = __Pyx_GetBuiltinName(name);
}
return result;
}
/* RaiseTooManyValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
/* RaiseNeedMoreValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
index, (index == 1) ? "" : "s");
}
/* RaiseNoneIterError */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(__Pyx_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
/* SaveResetException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#if PY_VERSION_HEX >= 0x030700A2
*type = tstate->exc_state.exc_type;
*value = tstate->exc_state.exc_value;
*tb = tstate->exc_state.exc_traceback;
#else
*type = tstate->exc_type;
*value = tstate->exc_value;
*tb = tstate->exc_traceback;
#endif
Py_XINCREF(*type);
Py_XINCREF(*value);
Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if PY_VERSION_HEX >= 0x030700A2
tmp_type = tstate->exc_state.exc_type;
tmp_value = tstate->exc_state.exc_value;
tmp_tb = tstate->exc_state.exc_traceback;
tstate->exc_state.exc_type = type;
tstate->exc_state.exc_value = value;
tstate->exc_state.exc_traceback = tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = type;
tstate->exc_value = value;
tstate->exc_traceback = tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
#endif
/* GetException */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) {
#endif
PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
PyObject *tmp_type, *tmp_value, *tmp_tb;
local_type = tstate->curexc_type;
local_value = tstate->curexc_value;
local_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
if (unlikely(tstate->curexc_type))
#else
if (unlikely(PyErr_Occurred()))
#endif
goto bad;
#if PY_MAJOR_VERSION >= 3
if (local_tb) {
if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
goto bad;
}
#endif
Py_XINCREF(local_tb);
Py_XINCREF(local_type);
Py_XINCREF(local_value);
*type = local_type;
*value = local_value;
*tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
#if PY_VERSION_HEX >= 0x030700A2
tmp_type = tstate->exc_state.exc_type;
tmp_value = tstate->exc_state.exc_value;
tmp_tb = tstate->exc_state.exc_traceback;
tstate->exc_state.exc_type = local_type;
tstate->exc_state.exc_value = local_value;
tstate->exc_state.exc_traceback = local_tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = local_type;
tstate->exc_value = local_value;
tstate->exc_traceback = local_tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
return 0;
bad:
*type = 0;
*value = 0;
*tb = 0;
Py_XDECREF(local_type);
Py_XDECREF(local_value);
Py_XDECREF(local_tb);
return -1;
}
/* SwapException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if PY_VERSION_HEX >= 0x030700A2
tmp_type = tstate->exc_state.exc_type;
tmp_value = tstate->exc_state.exc_value;
tmp_tb = tstate->exc_state.exc_traceback;
tstate->exc_state.exc_type = *type;
tstate->exc_state.exc_value = *value;
tstate->exc_state.exc_traceback = *tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = *type;
tstate->exc_value = *value;
tstate->exc_traceback = *tb;
#endif
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
PyErr_SetExcInfo(*type, *value, *tb);
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#endif
/* Import */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_MAJOR_VERSION < 3
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if (strchr(__Pyx_MODULE_NAME, '.')) {
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_MAJOR_VERSION < 3
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
/* FastTypeChecks */
#if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
while (a) {
a = a->tp_base;
if (a == b)
return 1;
}
return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
PyObject *mro;
if (a == b) return 1;
mro = a->tp_mro;
if (likely(mro)) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(mro);
for (i = 0; i < n; i++) {
if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
return 1;
}
return 0;
}
return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
PyObject *exception, *value, *tb;
int res;
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&exception, &value, &tb);
res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
if (!res) {
res = PyObject_IsSubclass(err, exc_type2);
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
}
__Pyx_ErrRestore(exception, value, tb);
return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
if (!res) {
res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
}
return res;
}
#endif
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
if (likely(err == exc_type)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
}
return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
if (likely(err == exc_type1 || err == exc_type2)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
}
return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif
/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) {
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(op1))) {
const long b = intval;
long x;
long a = PyInt_AS_LONG(op1);
x = (long)((unsigned long)a + b);
if (likely((x^a) >= 0 || (x^b) >= 0))
return PyInt_FromLong(x);
return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
#endif
#if CYTHON_USE_PYLONG_INTERNALS
if (likely(PyLong_CheckExact(op1))) {
const long b = intval;
long a, x;
#ifdef HAVE_LONG_LONG
const PY_LONG_LONG llb = intval;
PY_LONG_LONG lla, llx;
#endif
const digit* digits = ((PyLongObject*)op1)->ob_digit;
const Py_ssize_t size = Py_SIZE(op1);
if (likely(__Pyx_sst_abs(size) <= 1)) {
a = likely(size) ? digits[0] : 0;
if (size == -1) a = -a;
} else {
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
}
x = a + b;
return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
long_long:
llx = lla + llb;
return PyLong_FromLongLong(llx);
#endif
}
#endif
if (PyFloat_CheckExact(op1)) {
const long b = intval;
double a = PyFloat_AS_DOUBLE(op1);
double result;
PyFPE_START_PROTECT("add", return NULL)
result = ((double)a) + (double)b;
PyFPE_END_PROTECT(result)
return PyFloat_FromDouble(result);
}
return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif
/* None */
static CYTHON_INLINE long __Pyx_div_long(long a, long b) {
long q = a / b;
long r = a - q*b;
q -= ((r != 0) & ((r ^ b) < 0));
return q;
}
/* WriteUnraisableException */
static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno,
CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename,
int full_traceback, CYTHON_UNUSED int nogil) {
PyObject *old_exc, *old_val, *old_tb;
PyObject *ctx;
__Pyx_PyThreadState_declare
#ifdef WITH_THREAD
PyGILState_STATE state;
if (nogil)
state = PyGILState_Ensure();
#ifdef _MSC_VER
else state = (PyGILState_STATE)-1;
#endif
#endif
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&old_exc, &old_val, &old_tb);
if (full_traceback) {
Py_XINCREF(old_exc);
Py_XINCREF(old_val);
Py_XINCREF(old_tb);
__Pyx_ErrRestore(old_exc, old_val, old_tb);
PyErr_PrintEx(1);
}
#if PY_MAJOR_VERSION < 3
ctx = PyString_FromString(name);
#else
ctx = PyUnicode_FromString(name);
#endif
__Pyx_ErrRestore(old_exc, old_val, old_tb);
if (!ctx) {
PyErr_WriteUnraisable(Py_None);
} else {
PyErr_WriteUnraisable(ctx);
Py_DECREF(ctx);
}
#ifdef WITH_THREAD
if (nogil)
PyGILState_Release(state);
#endif
}
/* ImportFrom */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Format(PyExc_ImportError,
#if PY_MAJOR_VERSION < 3
"cannot import name %.230s", PyString_AS_STRING(name));
#else
"cannot import name %S", name);
#endif
}
return value;
}
/* HasAttr */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {
PyObject *r;
if (unlikely(!__Pyx_PyBaseString_Check(n))) {
PyErr_SetString(PyExc_TypeError,
"hasattr(): attribute name must be string");
return -1;
}
r = __Pyx_GetAttr(o, n);
if (unlikely(!r)) {
PyErr_Clear();
return 0;
} else {
Py_DECREF(r);
return 1;
}
}
/* PyObject_GenericGetAttrNoDict */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
"'%.50s' object has no attribute '%U'",
tp->tp_name, attr_name);
#else
"'%.50s' object has no attribute '%.400s'",
tp->tp_name, PyString_AS_STRING(attr_name));
#endif
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
PyObject *descr;
PyTypeObject *tp = Py_TYPE(obj);
if (unlikely(!PyString_Check(attr_name))) {
return PyObject_GenericGetAttr(obj, attr_name);
}
assert(!tp->tp_dictoffset);
descr = _PyType_Lookup(tp, attr_name);
if (unlikely(!descr)) {
return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
}
Py_INCREF(descr);
#if PY_MAJOR_VERSION < 3
if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
#endif
{
descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
if (unlikely(f)) {
PyObject *res = f(descr, obj, (PyObject *)tp);
Py_DECREF(descr);
return res;
}
}
return descr;
}
#endif
/* PyObject_GenericGetAttr */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {
if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {
return PyObject_GenericGetAttr(obj, attr_name);
}
return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);
}
#endif
/* SetVTable */
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
/* SetupReduce */
static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {
int ret;
PyObject *name_attr;
name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);
if (likely(name_attr)) {
ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);
} else {
ret = -1;
}
if (unlikely(ret < 0)) {
PyErr_Clear();
ret = 0;
}
Py_XDECREF(name_attr);
return ret;
}
static int __Pyx_setup_reduce(PyObject* type_obj) {
int ret = 0;
PyObject *object_reduce = NULL;
PyObject *object_reduce_ex = NULL;
PyObject *reduce = NULL;
PyObject *reduce_ex = NULL;
PyObject *reduce_cython = NULL;
PyObject *setstate = NULL;
PyObject *setstate_cython = NULL;
#if CYTHON_USE_PYTYPE_LOOKUP
if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto GOOD;
#else
if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto GOOD;
#endif
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#else
object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#endif
reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto BAD;
if (reduce_ex == object_reduce_ex) {
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;
#else
object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;
#endif
reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto BAD;
if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
reduce_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_cython); if (unlikely(!reduce_cython)) goto BAD;
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto BAD;
setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);
if (!setstate) PyErr_Clear();
if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {
setstate_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate_cython); if (unlikely(!setstate_cython)) goto BAD;
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto BAD;
}
PyType_Modified((PyTypeObject*)type_obj);
}
}
goto GOOD;
BAD:
if (!PyErr_Occurred())
PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
ret = -1;
GOOD:
#if !CYTHON_USE_PYTYPE_LOOKUP
Py_XDECREF(object_reduce);
Py_XDECREF(object_reduce_ex);
#endif
Py_XDECREF(reduce);
Py_XDECREF(reduce_ex);
Py_XDECREF(reduce_cython);
Py_XDECREF(setstate);
Py_XDECREF(setstate_cython);
return ret;
}
/* CLineInTraceback */
#ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_line) {
PyObject *use_cline;
PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
PyObject **cython_runtime_dict;
#endif
__Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
if (likely(cython_runtime_dict)) {
use_cline = __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback);
} else
#endif
{
PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
if (use_cline_obj) {
use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
Py_DECREF(use_cline_obj);
} else {
PyErr_Clear();
use_cline = NULL;
}
}
if (!use_cline) {
c_line = 0;
PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
}
else if (PyObject_Not(use_cline) != 0) {
c_line = 0;
}
__Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
return c_line;
}
#endif
/* CodeObjectCache */
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = start + (end - start) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
/* AddTraceback */
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
if (c_line) {
c_line = __Pyx_CLineForTraceback(tstate, c_line);
}
py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
}
py_frame = PyFrame_New(
tstate, /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
__Pyx_PyFrame_SetLineNumber(py_frame, py_line);
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
if (!obj) return;
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
if ((0)) {}
view->obj = NULL;
Py_DECREF(obj);
}
#endif
/* MemviewSliceIsContig */
static int
__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)
{
int i, index, step, start;
Py_ssize_t itemsize = mvs.memview->view.itemsize;
if (order == 'F') {
step = 1;
start = 0;
} else {
step = -1;
start = ndim - 1;
}
for (i = 0; i < ndim; i++) {
index = start + step * i;
if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
return 0;
itemsize *= mvs.shape[index];
}
return 1;
}
/* OverlappingSlices */
static void
__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
void **out_start, void **out_end,
int ndim, size_t itemsize)
{
char *start, *end;
int i;
start = end = slice->data;
for (i = 0; i < ndim; i++) {
Py_ssize_t stride = slice->strides[i];
Py_ssize_t extent = slice->shape[i];
if (extent == 0) {
*out_start = *out_end = start;
return;
} else {
if (stride > 0)
end += stride * (extent - 1);
else
start += stride * (extent - 1);
}
}
*out_start = start;
*out_end = end + itemsize;
}
static int
__pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize)
{
void *start1, *end1, *start2, *end2;
__pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
__pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
return (start1 < end2) && (start2 < end1);
}
/* Capsule */
static CYTHON_INLINE PyObject *
__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
{
PyObject *cobj;
#if PY_VERSION_HEX >= 0x02070000
cobj = PyCapsule_New(p, sig, NULL);
#else
cobj = PyCObject_FromVoidPtr(p, NULL);
#endif
return cobj;
}
/* IsLittleEndian */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
union {
uint32_t u32;
uint8_t u8[4];
} S;
S.u32 = 0x01020304;
return S.u8[0] == 4;
}
/* BufferFormatCheck */
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t < '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1)
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count;
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break;
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue;
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number;
int ndim = ctx->head->field->type->ndim;
;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
while (*ts && *ts != ')') {
switch (*ts) {
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
default: break;
}
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
CYTHON_FALLTHROUGH;
case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
ctx->enc_packmode == ctx->new_packmode) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
CYTHON_FALLTHROUGH;
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
/* TypeInfoCompare */
static int
__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
{
int i;
if (!a || !b)
return 0;
if (a == b)
return 1;
if (a->size != b->size || a->typegroup != b->typegroup ||
a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
if (a->typegroup == 'H' || b->typegroup == 'H') {
return a->size == b->size;
} else {
return 0;
}
}
if (a->ndim) {
for (i = 0; i < a->ndim; i++)
if (a->arraysize[i] != b->arraysize[i])
return 0;
}
if (a->typegroup == 'S') {
if (a->flags != b->flags)
return 0;
if (a->fields || b->fields) {
if (!(a->fields && b->fields))
return 0;
for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
__Pyx_StructField *field_a = a->fields + i;
__Pyx_StructField *field_b = b->fields + i;
if (field_a->offset != field_b->offset ||
!__pyx_typeinfo_cmp(field_a->type, field_b->type))
return 0;
}
return !a->fields[i].type && !b->fields[i].type;
}
}
return 1;
}
/* MemviewSliceValidateAndInit */
static int
__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
{
if (buf->shape[dim] <= 1)
return 1;
if (buf->strides) {
if (spec & __Pyx_MEMVIEW_CONTIG) {
if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
if (buf->strides[dim] != sizeof(void *)) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly contiguous "
"in dimension %d.", dim);
goto fail;
}
} else if (buf->strides[dim] != buf->itemsize) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_FOLLOW) {
Py_ssize_t stride = buf->strides[dim];
if (stride < 0)
stride = -stride;
if (stride < buf->itemsize) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
} else {
if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not contiguous in "
"dimension %d", dim);
goto fail;
} else if (spec & (__Pyx_MEMVIEW_PTR)) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not indirect in "
"dimension %d", dim);
goto fail;
} else if (buf->suboffsets) {
PyErr_SetString(PyExc_ValueError,
"Buffer exposes suboffsets but no strides");
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
{
if (spec & __Pyx_MEMVIEW_DIRECT) {
if (buf->suboffsets && buf->suboffsets[dim] >= 0) {
PyErr_Format(PyExc_ValueError,
"Buffer not compatible with direct access "
"in dimension %d.", dim);
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_PTR) {
if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly accessible "
"in dimension %d.", dim);
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
{
int i;
if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
Py_ssize_t stride = 1;
for (i = 0; i < ndim; i++) {
if (stride * buf->itemsize != buf->strides[i] &&
buf->shape[i] > 1)
{
PyErr_SetString(PyExc_ValueError,
"Buffer not fortran contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
} else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {
Py_ssize_t stride = 1;
for (i = ndim - 1; i >- 1; i--) {
if (stride * buf->itemsize != buf->strides[i] &&
buf->shape[i] > 1) {
PyErr_SetString(PyExc_ValueError,
"Buffer not C contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
}
return 1;
fail:
return 0;
}
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj)
{
struct __pyx_memoryview_obj *memview, *new_memview;
__Pyx_RefNannyDeclarations
Py_buffer *buf;
int i, spec = 0, retval = -1;
__Pyx_BufFmt_Context ctx;
int from_memoryview = __pyx_memoryview_check(original_obj);
__Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
original_obj)->typeinfo)) {
memview = (struct __pyx_memoryview_obj *) original_obj;
new_memview = NULL;
} else {
memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
original_obj, buf_flags, 0, dtype);
new_memview = memview;
if (unlikely(!memview))
goto fail;
}
buf = &memview->view;
if (buf->ndim != ndim) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
ndim, buf->ndim);
goto fail;
}
if (new_memview) {
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
}
if ((unsigned) buf->itemsize != dtype->size) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) "
"does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
buf->itemsize,
(buf->itemsize > 1) ? "s" : "",
dtype->name,
dtype->size,
(dtype->size > 1) ? "s" : "");
goto fail;
}
for (i = 0; i < ndim; i++) {
spec = axes_specs[i];
if (!__pyx_check_strides(buf, i, ndim, spec))
goto fail;
if (!__pyx_check_suboffsets(buf, i, ndim, spec))
goto fail;
}
if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
new_memview != NULL) == -1)) {
goto fail;
}
retval = 0;
goto no_fail;
fail:
Py_XDECREF(new_memview);
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dcd__double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_F_CONTIG,
(PyBUF_F_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 2,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS_RO | writable_flag, 1,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1,
&__Pyx_TypeInfo_int, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* CIntFromPyVerify */
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
{\
func_type value = func_value;\
if (sizeof(target_type) < sizeof(func_type)) {\
if (unlikely(value != (func_type) (target_type) value)) {\
func_type zero = 0;\
if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
return (target_type) -1;\
if (is_unsigned && unlikely(value < zero))\
goto raise_neg_overflow;\
else\
goto raise_overflow;\
}\
}\
return (target_type) value;\
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 2,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS_RO | writable_flag, 1,
&__Pyx_TypeInfo_int, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (int) -1, const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* MemviewSliceCopyTemplate */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object)
{
__Pyx_RefNannyDeclarations
int i;
__Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
Py_buffer *buf = &from_memview->view;
PyObject *shape_tuple = NULL;
PyObject *temp_int = NULL;
struct __pyx_array_obj *array_obj = NULL;
struct __pyx_memoryview_obj *memview_obj = NULL;
__Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
for (i = 0; i < ndim; i++) {
if (from_mvs->suboffsets[i] >= 0) {
PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
"indirect dimensions (axis %d)", i);
goto fail;
}
}
shape_tuple = PyTuple_New(ndim);
if (unlikely(!shape_tuple)) {
goto fail;
}
__Pyx_GOTREF(shape_tuple);
for(i = 0; i < ndim; i++) {
temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
if(unlikely(!temp_int)) {
goto fail;
} else {
PyTuple_SET_ITEM(shape_tuple, i, temp_int);
temp_int = NULL;
}
}
array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
if (unlikely(!array_obj)) {
goto fail;
}
__Pyx_GOTREF(array_obj);
memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
(PyObject *) array_obj, contig_flag,
dtype_is_object,
from_mvs->memview->typeinfo);
if (unlikely(!memview_obj))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
goto fail;
if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
dtype_is_object) < 0))
goto fail;
goto no_fail;
fail:
__Pyx_XDECREF(new_mvs.memview);
new_mvs.memview = NULL;
new_mvs.data = NULL;
no_fail:
__Pyx_XDECREF(shape_tuple);
__Pyx_XDECREF(temp_int);
__Pyx_XDECREF(array_obj);
__Pyx_RefNannyFinishContext();
return new_mvs;
}
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (int) -1, const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
const long neg_one = (long) -1, const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (long) -1, const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
const char neg_one = (char) -1, const_zero = (char) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])
case -2:
if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
}
#endif
if (sizeof(char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
char val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (char) -1;
}
} else {
char val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (char) -1;
val = __Pyx_PyInt_As_char(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to char");
return (char) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to char");
return (char) -1;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS_RO | writable_flag, 2,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* CheckBinaryVersion */
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
return PyErr_WarnEx(NULL, message, 1);
}
return 0;
}
/* InitStrings */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
if (PyObject_Hash(*t->p) == -1)
return -1;
++t;
}
return 0;
}
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
#if !CYTHON_PEP393_ENABLED
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
char* defenc_c;
PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
if (!defenc) return NULL;
defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
{
char* end = defenc_c + PyBytes_GET_SIZE(defenc);
char* c;
for (c = defenc_c; c < end; c++) {
if ((unsigned char) (*c) >= 128) {
PyUnicode_AsASCIIString(o);
return NULL;
}
}
}
#endif
*length = PyBytes_GET_SIZE(defenc);
return defenc_c;
}
#else
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
if (likely(PyUnicode_IS_ASCII(o))) {
*length = PyUnicode_GET_LENGTH(o);
return PyUnicode_AsUTF8(o);
} else {
PyUnicode_AsASCIIString(o);
return NULL;
}
#else
return PyUnicode_AsUTF8AndSize(o, length);
#endif
}
#endif
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
__Pyx_sys_getdefaultencoding_not_ascii &&
#endif
PyUnicode_Check(o)) {
return __Pyx_PyUnicode_AsStringAndSize(o, length);
} else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
if (PyByteArray_Check(o)) {
*length = PyByteArray_GET_SIZE(o);
return PyByteArray_AS_STRING(o);
} else
#endif
{
char* result;
int r = PyBytes_AsStringAndSize(o, &result, length);
if (unlikely(r < 0)) {
return NULL;
} else {
return result;
}
}
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
if (PyLong_Check(result)) {
if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
"__int__ returned non-int (type %.200s). "
"The ability to return an instance of a strict subclass of int "
"is deprecated, and may be removed in a future version of Python.",
Py_TYPE(result)->tp_name)) {
Py_DECREF(result);
return NULL;
}
return result;
}
#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
type_name, type_name, Py_TYPE(result)->tp_name);
Py_DECREF(result);
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
PyNumberMethods *m;
#endif
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
if (likely(PyLong_Check(x)))
#endif
return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = m->nb_int(x);
}
else if (m && m->nb_long) {
name = "long";
res = m->nb_long(x);
}
#else
if (likely(m && m->nb_int)) {
name = "int";
res = m->nb_int(x);
}
#endif
#else
if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
res = PyNumber_Int(x);
}
#endif
if (likely(res)) {
#if PY_MAJOR_VERSION < 3
if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
if (unlikely(!PyLong_CheckExact(res))) {
#endif
return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject *x;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(b))) {
if (sizeof(Py_ssize_t) >= sizeof(long))
return PyInt_AS_LONG(b);
else
return PyInt_AsSsize_t(x);
}
#endif
if (likely(PyLong_CheckExact(b))) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)b)->ob_digit;
const Py_ssize_t size = Py_SIZE(b);
if (likely(__Pyx_sst_abs(size) <= 1)) {
ival = likely(size) ? digits[0] : 0;
if (size == -1) ival = -ival;
return ival;
} else {
switch (size) {
case 2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
}
}
#endif
return PyLong_AsSsize_t(b);
}
x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
|
mandel-omp.c | /*
* Sequential Mandelbrot program
*
* This program computes and displays all or part of the Mandelbrot
* set. By default, it examines all points in the complex plane
* that have both real and imaginary parts between -2 and 2.
* Command-line parameters allow zooming in on a specific part of
* this range.
*
* Usage:
* mandel [-i maxiter -c x0 y0 -s size -w windowsize]
* where
* maxiter denotes the maximum number of iterations at each point -- by default 1000
* x0, y0, and size specify the range to examine (a square
* centered at (x0 + iy0) of size 2*size by 2*size -- by default,
* a square of size 4 by 4 centered at the origin)
* windowsize denotes the size of the image (diplay window) to compute
*
* Input: none, except the optional command-line arguments
* Output: a graphical display as described in Wilkinson & Allen,
* displayed using the X Window system, plus text output to
* standard output showing the above parameters, plus execution
* time in seconds.
*
* Code based on the original code from Web site for Wilkinson and Allen's
* text on parallel programming:
* http://www.cs.uncc.edu/~abw/parallel/par_prog/
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <unistd.h>
#include <malloc.h>
#if _DISPLAY_
#include <X11/Xlib.h>
#include <X11/Xutil.h>
#include <X11/Xos.h>
#endif
#include <sys/time.h>
double getusec_() {
struct timeval time;
gettimeofday(&time, NULL);
return ((double)time.tv_sec * (double)1e6 + (double)time.tv_usec);
}
#define START_COUNT_TIME stamp = getusec_();
#define STOP_COUNT_TIME(_m) stamp = getusec_() - stamp;\
stamp = stamp/1e6;\
printf ("%s: %0.6fs\n",(_m), stamp);
/* Default values for things. */
#define N 2 /* size of problem space (x, y from -N to N) */
#define NPIXELS 800 /* size of display window in pixels */
int row, col; // variables used to traverse the problem space
/* Structure definition for complex numbers */
typedef struct {
double real, imag;
} complex;
#if _DISPLAY_
/* Functions for GUI */
#include "mandelbrot-gui.h" /* has setup(), interact() */
#endif
void mandelbrot(int height,
int width,
double real_min,
double imag_min,
double scale_real,
double scale_imag,
int maxiter,
#if _DISPLAY_
int setup_return,
Display *display,
Window win,
GC gc,
double scale_color,
double min_color)
#else
int ** output)
#endif
{
/* Calculate points and save/display */
#pragma omp parallel private(row,col)
{
#pragma omp for schedule(runtime)
for (row = 0; row < height; ++row) {
//#pragma omp task
for (col = 0; col < width; ++col) {
complex z, c;
z.real = z.imag = 0;
/* Scale display coordinates to actual region */
c.real = real_min + ((double) col * scale_real);
c.imag = imag_min + ((double) (height-1-row) * scale_imag);
/* height-1-row so y axis displays
* with larger values at top
*/
/* Calculate z0, z1, .... until divergence or maximum iterations */
int k = 0;
double lengthsq, temp;
do {
temp = z.real*z.real - z.imag*z.imag + c.real;
z.imag = 2*z.real*z.imag + c.imag;
z.real = temp;
lengthsq = z.real*z.real + z.imag*z.imag;
++k;
} while (lengthsq < (N*N) && k < maxiter);
#if _DISPLAY_
/* Scale color and display point */
long color = (long) ((k-1) * scale_color) + min_color;
if (setup_return == EXIT_SUCCESS) {
#pragma omp critical
{
XSetForeground (display, gc, color);
XDrawPoint (display, win, gc, col, row);
}
}
#else
output[row][col]=k;
#endif
}
}
}
}
int main(int argc, char *argv[]) {
int maxiter = 1000;
double real_min;
double real_max;
double imag_min;
double imag_max;
int width = NPIXELS; /* dimensions of display window */
int height = NPIXELS;
double size=N, x0 = 0, y0 = 0;
#if _DISPLAY_
Display *display;
Window win;
GC gc;
int setup_return;
long min_color = 0, max_color = 0;
double scale_color;
#else
int ** output;
FILE *fp = NULL;
#endif
double scale_real, scale_imag;
/* Process command-line arguments */
for (int i=1; i<argc; i++) {
if (strcmp(argv[i], "-i")==0) {
maxiter = atoi(argv[++i]);
}
else if (strcmp(argv[i], "-w")==0) {
width = atoi(argv[++i]);
height = width;
}
else if (strcmp(argv[i], "-s")==0) {
size = atof(argv[++i]);
}
#if !_DISPLAY_
else if (strcmp(argv[i], "-o")==0) {
if((fp=fopen("mandel.out", "wb"))==NULL) {
fprintf(stderr, "Unable to open file\n");
return EXIT_FAILURE;
}
}
#endif
else if (strcmp(argv[i], "-c")==0) {
x0 = atof(argv[++i]);
y0 = atof(argv[++i]);
}
else {
#if _DISPLAY_
fprintf(stderr, "Usage: %s [-i maxiter -w windowsize -c x0 y0 -s size]\n", argv[0]);
#else
fprintf(stderr, "Usage: %s [-o -i maxiter -w windowsize -c x0 y0 -s size]\n", argv[0]);
fprintf(stderr, " -o to write computed image to disk (default no file generated)\n");
#endif
fprintf(stderr, " -i to specify maximum number of iterations at each point (default 1000)\n");
#if _DISPLAY_
fprintf(stderr, " -w to specify the size of the display window (default 800x800 pixels)\n");
#else
fprintf(stderr, " -w to specify the size of the image to compute (default 800x800 elements)\n");
#endif
fprintf(stderr, " -c to specify the center x0+iy0 of the square to compute (default origin)\n");
fprintf(stderr, " -s to specify the size of the square to compute (default 2, i.e. size 4 by 4)\n");
return EXIT_FAILURE;
}
}
real_min = x0 - size;
real_max = x0 + size;
imag_min = y0 - size;
imag_max = y0 + size;
/* Produce text output */
fprintf(stdout, "\n");
fprintf(stdout, "Mandelbrot program\n");
fprintf(stdout, "center = (%g, %g), size = %g\n",
(real_max + real_min)/2, (imag_max + imag_min)/2,
(real_max - real_min)/2);
fprintf(stdout, "maximum iterations = %d\n", maxiter);
fprintf(stdout, "\n");
#if _DISPLAY_
/* Initialize for graphical display */
setup_return =
setup(width, height, &display, &win, &gc, &min_color, &max_color);
if (setup_return != EXIT_SUCCESS) {
fprintf(stderr, "Unable to initialize display, continuing\n");
return EXIT_FAILURE;
}
#else
output = malloc(height*sizeof(int *));
for (int row = 0; row < height; ++row)
output[row] = malloc(width*sizeof(int));
#endif
/* Compute factors to scale computational region to window */
scale_real = (double) (real_max - real_min) / (double) width;
scale_imag = (double) (imag_max - imag_min) / (double) height;
#if _DISPLAY_
/* Compute factor for color scaling */
scale_color = (double) (max_color - min_color) / (double) (maxiter - 1);
#endif
/* Start timing */
double stamp;
START_COUNT_TIME;
#if _DISPLAY_
mandelbrot(height,width,real_min, imag_min, scale_real, scale_imag, maxiter,
setup_return, display, win, gc, scale_color, min_color);
#else
mandelbrot(height,width,real_min, imag_min, scale_real, scale_imag, maxiter,
output);
#endif
/* End timing */
STOP_COUNT_TIME("Total execution time");
/* Be sure all output is written */
#if _DISPLAY_
if (setup_return == EXIT_SUCCESS) {
XFlush (display);
}
#else
if (fp != NULL)
{
for (int row = 0; row < height; ++row)
if(fwrite(output[row], sizeof(int), width, fp) != width) {
fprintf(stderr, "Output file not written correctly\n");
}
}
#endif
#if _DISPLAY_
/* Wait for user response, then exit program */
if (setup_return == EXIT_SUCCESS) {
interact(display, &win, width, height,
real_min, real_max, imag_min, imag_max);
}
return EXIT_SUCCESS;
#endif
}
|
particle_utilities.h | /*
==============================================================================
KratosTestApplication
A library based on:
Kratos
A General Purpose Software for Multi-Physics Finite Element Analysis
Version 1.0 (Released on march 05, 2007).
Copyright 2010
Pooyan Dadvand, Riccardo Rossi
pooyan@cimne.upc.edu
rrossi@cimne.upc.edu
- CIMNE (International Center for Numerical Methods in Engineering),
Gran Capita' s/n, 08034 Barcelona, Spain
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following condition:
Distribution of this code for any commercial purpose is permissible
ONLY BY DIRECT ARRANGEMENT WITH THE COPYRIGHT OWNERS.
The above copyright notice and this permission notice sKRATOS_WATCH(disp);hall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
==============================================================================
*/
//
// Project Name: Kratos
// Last Modified by: $Author: rrossi $
// Date: $Date: 2007-03-06 10:30:31 $
// Revision: $Revision: 1.2 $
//
//
#if !defined(KRATOS_PARTICLES_UTILITIES_INCLUDED )
#define KRATOS_PARTICLES_UTILITIES_INCLUDED
#define PRESSURE_ON_EULERIAN_MESH
#define USE_FEW_PARTICLES
// System includes
#include <string>
#include <iostream>
#include <algorithm>
// External includes
// Project includes
#include "includes/define.h"
#include "includes/model_part.h"
#include "includes/node.h"
#include "utilities/geometry_utilities.h"
#include "geometries/tetrahedra_3d_4.h"
#include "incompressible_fluid_application.h"
#include "spatial_containers/spatial_containers.h"
#include "utilities/timer.h"
#include "processes/node_erase_process.h"
#include "utilities/binbased_fast_point_locator.h"
#include <boost/timer.hpp>
#include "utilities/timer.h"
#ifdef _OPENMP
#include "omp.h"
#endif
namespace Kratos
{
template< class T, std::size_t dim >
class DistanceCalculator1
{
public:
double operator()(T const& p1, T const& p2)
{
double dist = 0.0;
for (std::size_t i = 0; i < dim; i++)
{
double tmp = p1[i] - p2[i];
dist += tmp*tmp;
}
return dist; //square distance because it is easier to work without the square root//
}
};
template<std::size_t TDim> class ParticleUtils
{
public:
KRATOS_CLASS_POINTER_DEFINITION(ParticleUtils<TDim>);
//**********************************************************************************************
//**********************************************************************************************
void StreamlineMove(array_1d<double, 3 > & body_force, const double density, const double speficit_heat, const double dt, const double subdivisions, ModelPart& rEulerianModelPart, ModelPart& rLagrangianModelPart, bool use_eulerian_velocity, BinBasedFastPointLocator<TDim>& node_locator)
{
KRATOS_TRY
Timer time;
Timer::Start("StreamlineMove");
if (rEulerianModelPart.NodesBegin()->SolutionStepsDataHas(FORCE) == false)
KRATOS_THROW_ERROR(std::logic_error, "Add ----FORCE---- variable!!!!!! ERROR", "");
//reset particle position to the beginning of the step
for (ModelPart::NodesContainerType::iterator node_it = rLagrangianModelPart.NodesBegin();
node_it != rLagrangianModelPart.NodesEnd(); ++node_it)
{
Node < 3 > ::Pointer pnode = *(node_it.base());
pnode->Set(TO_ERASE, true);
node_it->GetValue(IS_VISITED) = 0;
}
// KRATOS_WATCH("539")
array_1d<double, 3 > veulerian;
array_1d<double, 3 > acc_particle;
array_1d<double, 3 > acc_particle1;
array_1d<double, TDim + 1 > N;
//double G;
const int max_results = 1000;
typename BinBasedFastPointLocator<TDim>::ResultContainerType results(max_results);
//const double small_dt = dt / subdivisions;
const int nparticles = rLagrangianModelPart.Nodes().size();
#pragma omp parallel for firstprivate(results,N,veulerian,acc_particle)
for (int i = 0; i < nparticles; i++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
double subdivisions = (iparticle)->FastGetSolutionStepValue(LAMBDA);
subdivisions=20.0;
const double small_dt = dt / subdivisions;
//KRATOS_WATCH(subdivisions);
//KRATOS_WATCH(small_dt);
for (unsigned int substep = 0; substep < subdivisions; substep++)
{
//ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
Node < 3 > ::Pointer pparticle = *(iparticle.base());
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if (is_found == true)
{
(pparticle)->GetValue(IS_VISITED) = 1;
Geometry< Node < 3 > >& geom = pelement->GetGeometry();
//move according to the streamline
noalias(veulerian) = N[0] * geom[0].FastGetSolutionStepValue(VELOCITY, 1);
for (unsigned int k = 1; k < geom.size(); k++)
noalias(veulerian) += N[k] * geom[k].FastGetSolutionStepValue(VELOCITY, 1);
array_1d<double, 3 > & disp = (iparticle)->FastGetSolutionStepValue(DISPLACEMENT);
noalias(disp) += small_dt*veulerian;
(pparticle)->Set(TO_ERASE, false);
noalias(acc_particle) = ZeroVector(3);
noalias(acc_particle1) = ZeroVector(3);
//G = 0.0;
for (unsigned int k = 0; k < geom.size(); k++)
{
noalias(acc_particle) += N[k] * geom[k].FastGetSolutionStepValue(FORCE) /** density_inverse*/;
noalias(acc_particle1) += N[k] * geom[k].FastGetSolutionStepValue(ANGULAR_ACCELERATION) /** density_inverse*/;
}
array_1d<double, 3 > & vel_particle = (pparticle)->FastGetSolutionStepValue(VELOCITY);
//double density_inverse_1 = 1.0 / (pparticle)->FastGetSolutionStepValue(DENSITY);
//double density_inverse_1 =1.0;
noalias(vel_particle) += small_dt*acc_particle;// * density_inverse_1;
//noalias(vel_particle) += small_dt*acc_particle1;//* density_inverse_1 ;
//update position
noalias(iparticle->Coordinates()) = iparticle->GetInitialPosition();
noalias(iparticle->Coordinates()) += iparticle->FastGetSolutionStepValue(DISPLACEMENT);
(iparticle)->GetValue(IS_VISITED) = 0;
}
}
}
//erase nodes whose velocity is far inconsistent with the displacement increment (typically nodes that get stuck to the wall)
for (ModelPart::NodesContainerType::iterator it = rLagrangianModelPart.NodesBegin();
it != rLagrangianModelPart.NodesEnd(); it++)
{
array_1d<double,3> delta_disp = it->FastGetSolutionStepValue(DISPLACEMENT);
noalias(delta_disp) -= it->FastGetSolutionStepValue(DISPLACEMENT,1);
double norm_delta_disp = norm_2(delta_disp);
array_1d<double,3> v_old = it->FastGetSolutionStepValue(VELOCITY,1);
double norm_v = norm_2(v_old);
if(norm_delta_disp*3.0 < norm_v*dt )
it->Set(TO_ERASE, true);
if(norm_delta_disp* (0.333333333333333*0.001) > norm_v*dt )
it->Set(TO_ERASE, true);
}
//perform the erase
//NodeEraseProcess(rLagrangianModelPart).Execute();
Timer::Stop("StreamlineMove");
KRATOS_WATCH(time)
KRATOS_CATCH("")
}
//**********************************************************************************************
//**********************************************************************************************
void aa(array_1d<double, 3 > & body_force, const double density, const double dt, const double subdivisions, ModelPart& rEulerianModelPart, ModelPart& rLagrangianModelPart, bool use_eulerian_velocity, BinBasedFastPointLocator<TDim>& node_locator)
{
KRATOS_TRY
Timer time;
Timer::Start("Actualizacion");
if (rEulerianModelPart.NodesBegin()->SolutionStepsDataHas(FORCE) == false)
KRATOS_THROW_ERROR(std::logic_error, "Add ----FORCE---- variable!!!!!! ERROR", "");
//should be done outside!!!
// BinBasedFastPointLocator<TDim> node_locator(rEulerianModelPart);
// node_locator.UpdateSearchDatabase();
// double density_inverse = 1.0 / density;
//reset particle position to the beginning of the step
/*for (ModelPart::NodesContainerType::iterator node_it = rLagrangianModelPart.NodesBegin();
node_it != rLagrangianModelPart.NodesEnd(); ++node_it)
{
Node < 3 > ::Pointer pnode = *(node_it.base());
}*/
// KRATOS_WATCH("539")
array_1d<double, 3 > veulerian;
array_1d<double, 3 > acc_particle;
array_1d<double, TDim + 1 > N;
const int max_results = 1000;
typename BinBasedFastPointLocator<TDim>::ResultContainerType results(max_results);
// const double small_dt = dt / subdivisions;
const int nparticles = rLagrangianModelPart.Nodes().size();
#pragma omp parallel for firstprivate(results,N,veulerian,acc_particle)
for (int i = 0; i < nparticles; i++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
Node < 3 > ::Pointer pparticle = *(iparticle.base());
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if (is_found == true)
{
//(pparticle)->GetValue(IS_VISITED) = 1;
Geometry< Node < 3 > >& geom = pelement->GetGeometry();
noalias(acc_particle) = ZeroVector(3);
//double courant = pelement->GetValue(POISSON_RATIO);
//int Ndt_min = 3;
//int Ndt_max = 20;
//int K = 5;
//int Ndt = floor(courant *K);
//int nNdt = (Ndt<Ndt_min) ? Ndt_min : (Ndt>Ndt_max) ? Ndt_max : Ndt;
//double & numeros_de_pasos = (pparticle)->FastGetSolutionStepValue(LAMBDA);
//numeros_de_pasos =nNdt;
for (unsigned int k = 0; k < geom.size(); k++)
{
acc_particle += N[k] * geom[k].FastGetSolutionStepValue(FORCE) /** density_inverse*/;
}
//double density_inverse = 1.0 / (pparticle)->FastGetSolutionStepValue(DENSITY);
array_1d<double, 3 > & vel_particle = (pparticle)->FastGetSolutionStepValue(VELOCITY);
noalias(vel_particle) += acc_particle;// * density_inverse;
}
}
Timer::Stop("Actualizacion");
KRATOS_WATCH(time)
KRATOS_CATCH("")
}
//**********************************************************************************************
//**********************************************************************************************
//function to seed a list of new nodes
void Reseed(ModelPart& rEulerianModelPart, ModelPart& rLagrangianModelPart)
{
KRATOS_TRY;
unsigned int id = (rEulerianModelPart.Nodes().end() - 1)->Id() + 1;
rLagrangianModelPart.Nodes().clear();
/*for (ModelPart::NodesContainerType::iterator node_it = rEulerianModelPart.NodesBegin();
node_it != rEulerianModelPart.NodesEnd(); node_it++)
{
int node_id = id++;
double x = node_it->X();
double y = node_it->Y();
double z = node_it->Z();
Node < 3 > ::Pointer pnode = rLagrangianModelPart.CreateNewNode(node_id, x, y, z);
pnode->FastGetSolutionStepValue(VELOCITY) = node_it->FastGetSolutionStepValue(VELOCITY);
}*/
#ifdef USE_FEW_PARTICLES
boost::numeric::ublas::bounded_matrix<double, TDim + 2, TDim + 1 > pos;
boost::numeric::ublas::bounded_matrix<double, TDim + 2, TDim + 1 > N;
#else
boost::numeric::ublas::bounded_matrix<double, 16, 3 > pos;
boost::numeric::ublas::bounded_matrix<double, 16, 3 > N;
#endif
for (ModelPart::ElementsContainerType::iterator el_it = rEulerianModelPart.ElementsBegin();
el_it != rEulerianModelPart.ElementsEnd(); el_it++)
{
Geometry<Node < 3 > >& geom = el_it->GetGeometry();
ComputeGaussPointPositions(geom, pos, N);
for (unsigned int i = 0; i < pos.size1(); i++)
{
int node_id = id++;
Node < 3 > ::Pointer pnode = rLagrangianModelPart.CreateNewNode(node_id, pos(i, 0), pos(i, 1), pos(i, 2));
array_1d<double, 3 > & vel = pnode->FastGetSolutionStepValue(VELOCITY);
noalias(vel) = ZeroVector(3);
for (unsigned int j = 0; j < TDim + 1; j++)
noalias(vel) += N(i, j) * geom[j].FastGetSolutionStepValue(VELOCITY);
}
}
for (ModelPart::NodesContainerType::iterator node_it = rLagrangianModelPart.NodesBegin();
node_it != rLagrangianModelPart.NodesEnd(); node_it++)
{
node_it->FastGetSolutionStepValue(VELOCITY, 1) = node_it->FastGetSolutionStepValue(VELOCITY);
}
KRATOS_CATCH("");
}
void ReseedEmptyElements(ModelPart& rEulerianModelPart, ModelPart& rLagrangianModelPart, BinBasedFastPointLocator<TDim>& node_locator)
{
KRATOS_TRY;
//KRATOS_THROW_ERROR(std::logic_error, "Add ----FORCE---- variable!!!!!! ERROR", "");
Timer time;
Timer::Start("Puntos");
//generate a tree with the position of the lagrangian nodes
// typedef Node < 3 > PointType;
// typedef Node < 3 > ::Pointer PointTypePointer;
typedef Node<3> NodeType;
//unsigned int min_number_of_particles = 4 ;
// KRATOS_THROW_ERROR(std::logic_error, "Add ----FORCE---- variable!!!!!! ERROR", "");
int id;
if (rLagrangianModelPart.Nodes().size() != 0)
id = (rLagrangianModelPart.NodesEnd() - 1)->Id();
else
id = 1;
for (ModelPart::ElementsContainerType::iterator el_it = rEulerianModelPart.ElementsBegin();
el_it != rEulerianModelPart.ElementsEnd(); el_it++)
{
el_it->SetValue(YOUNG_MODULUS,0.0);
}
for (ModelPart::NodesContainerType::iterator pparticle = rLagrangianModelPart.NodesBegin(); pparticle != rLagrangianModelPart.NodesEnd(); pparticle++)
{
pparticle->Set(TO_ERASE,false);
}
int last_id=id;
//count particles that fall within an element
array_1d<double, TDim + 1 > N;
const int max_results = 1000;
typename BinBasedFastPointLocator<TDim>::ResultContainerType results(max_results);
int nparticles = rLagrangianModelPart.Nodes().size();
//count particles within an element
#pragma omp parallel for firstprivate(results,N)
for (int i = 0; i < nparticles; i++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
Node < 3 > ::Pointer pparticle = *(iparticle.base());
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if (is_found == true)
{
double& counter = pelement->GetValue(YOUNG_MODULUS);
#pragma omp atomic
counter += 1.0;
}
}
//erase particles within elements for which reseeding is needed
#pragma omp parallel for firstprivate(results,N)
for (int i = 0; i < nparticles; i++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
Node < 3 > ::Pointer pparticle = *(iparticle.base());
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if (is_found == true)
{
double& counter = pelement->GetValue(YOUNG_MODULUS);
/*KRATOS_WATCH("cantidad de particulas");
KRATOS_WATCH("cantidad de particulas");
KRATOS_WATCH("cantidad de particulas");
KRATOS_WATCH(counter);*/
double densi_ty = pelement->GetValue(DENSITY);
if(densi_ty!=500.0 )
{
if(counter > 10.0) //14
{
/* KRATOS_WATCH("BOOOOOOOOOOOOOOOOOOOOOOORRRRRRRRRRRRRRAAAAAAAAAAAAAARRRRRRRRRRRRRRRRRRR");
KRATOS_WATCH("BOOOOOOOOOOOOOOOOOOOOOOORRRRRRRRRRRRRRAAAAAAAAAAAAAARRRRRRRRRRRRRRRRRRR");
KRATOS_WATCH("BOOOOOOOOOOOOOOOOOOOOOOORRRRRRRRRRRRRRAAAAAAAAAAAAAARRRRRRRRRRRRRRRRRRR"); */
pparticle->Set(TO_ERASE,true);
#pragma omp atomic
counter -=1.0;
}
}
else if (densi_ty==500.0)
{
if(counter > 20.0)
{
pparticle->Set(TO_ERASE,true);
#pragma omp atomic
counter -=1.0;
}
}
}
}
//perform the erase
NodeEraseProcess(rLagrangianModelPart).Execute();
int number_of_threads = OpenMPUtils::GetNumThreads();
KRATOS_WATCH(number_of_threads);
vector<unsigned int> elem_partition;
int number_of_rows=rEulerianModelPart.Elements().size();
KRATOS_WATCH(number_of_threads);
//KRATOS_THROW_ERROR(std::logic_error, "Add ----NODAL_H---- variable!!!!!! ERROR", "");
elem_partition.resize(number_of_threads + 1);
int elem_partition_size = number_of_rows / number_of_threads;
elem_partition[0] = 0;
elem_partition[number_of_threads] = number_of_rows;
KRATOS_WATCH(elem_partition_size);
for ( int i = 1; i < number_of_threads; i++)
elem_partition[i] = elem_partition[i - 1] + elem_partition_size;
// typedef Node < 3 > PointType;
std::vector<ModelPart::NodesContainerType> aux;// aux;
aux.resize(number_of_threads);
#pragma omp parallel firstprivate(elem_partition)
{
int k = OpenMPUtils::ThisThread();
ModelPart::ElementsContainerType::iterator it_begin = rEulerianModelPart.ElementsBegin() + elem_partition[k];
ModelPart::ElementsContainerType::iterator it_end = rEulerianModelPart.ElementsBegin() + elem_partition[k+1] ;
//KRATOS_WATCH(min_number_of_particles);
//ModelPart::NodesContainerType local_list=aux[k];
PointerVectorSet<Node<3>, IndexedObject> & list=aux[k];
//KRATOS_WATCH(k);
boost::numeric::ublas::bounded_matrix<double, 4, 3 > pos;
boost::numeric::ublas::bounded_matrix<double, 4, 3 > Nnew;
int local_id=1;
for (ModelPart::ElementsContainerType::iterator el_it = it_begin; el_it != it_end; el_it++)
{
if (el_it->GetValue(YOUNG_MODULUS) < 4.0)
// if (el_it->GetValue(YOUNG_MODULUS) < 1.0)
{
//KRATOS_THROW_ERROR(std::logic_error, "Add ----FORCE---- variable!!!!!! ERROR", "");
Geometry< Node<3> >& geom = el_it->GetGeometry();
//if(el_it->GetValue(DENSITY)==1.0 or el_it->GetValue(DENSITY)==1000.0 ){
//KRATOS_WATCH("INSERTO PUNTOS");
//KRATOS_WATCH("INSERTO PUNTOS");
//KRATOS_WATCH("INSERTO PUNTOS");
// double dens=el_it->GetValue(DENSITY);
ComputeGaussPointPositions(geom, pos, Nnew);
for (unsigned int i = 0; i < pos.size1(); i++)
{
int node_id = local_id++;
Node < 3 > ::Pointer pnode = NodeType::Pointer(new NodeType(node_id, pos(i,0), pos(i,1), pos(i,2)));
pnode->SetSolutionStepVariablesList(&(rEulerianModelPart.GetNodalSolutionStepVariablesList()));
pnode->SetBufferSize(3);
array_1d<double, 3 > & vel = pnode->FastGetSolutionStepValue(VELOCITY);
array_1d<double, 3 > & disp = pnode->FastGetSolutionStepValue(DISPLACEMENT);
noalias(disp) = ZeroVector(3);
noalias(vel) = ZeroVector(3);
for (unsigned int j = 0; j < 3; j++)
{
noalias(vel) += Nnew(i, j) * geom[j].FastGetSolutionStepValue(VELOCITY);
}
pnode->GetSolutionStepValue(FLAG_VARIABLE)=1.0;
//pnode->FastGetSolutionStepValue(DENSITY)=dens;
(list).push_back(pnode);
}
}
}
}
for(int k=0; k<number_of_threads; k++)
{
PointerVectorSet<Node<3>, IndexedObject> & list=aux[k];
for(PointerVectorSet<Node<3>, IndexedObject>::ptr_iterator it = list.ptr_begin(); it!=list.ptr_end(); it++)
{
//rLagrangianModelPart.AddNode(*it);
rLagrangianModelPart.Nodes().push_back(*it);
//KRATOS_WATCH(k);
int node_id=last_id++;//last_id++;
(*it)->SetId(node_id);
//KRATOS_WATCH(rLagrangianModelPart.Nodes().size());
}
}
Timer::Stop("Puntos");
KRATOS_WATCH(time);
KRATOS_CATCH("");
}
//**********************************************************************************************
//**********************************************************************************************
//**********************************************************************************************
void Back(array_1d<double, 3 > & body_force, const double density, const double dt, const double subdivisions, ModelPart& rEulerianModelPart, ModelPart& rLagrangianModelPart, bool use_eulerian_velocity, BinBasedFastPointLocator<TDim>& node_locator)
{
KRATOS_TRY
if (rEulerianModelPart.NodesBegin()->SolutionStepsDataHas(FORCE) == false)
KRATOS_THROW_ERROR(std::logic_error, "Add ----FORCE---- variable!!!!!! ERROR", "");
//should be done outside!!!
// BinBasedFastPointLocator<TDim> node_locator(rEulerianModelPart);
// node_locator.UpdateSearchDatabase();
// double density_inverse = 1.0 / density;
//reset particle position to the beginning of the step
for (ModelPart::NodesContainerType::iterator node_it = rLagrangianModelPart.NodesBegin(); node_it != rLagrangianModelPart.NodesEnd(); ++node_it)
{
Node < 3 > ::Pointer pnode = *(node_it.base());
//pnode->Set(TO_ERASE, true);
node_it->GetValue(IS_VISITED) = 0;
}
// KRATOS_WATCH("539")
array_1d<double, 3 > veulerian;
array_1d<double, 3 > acc_particle;
array_1d<double, TDim + 1 > N;
const int max_results = 1000;
typename BinBasedFastPointLocator<TDim>::ResultContainerType results(max_results);
//subdivisions=10.0;
const double small_dt = dt / subdivisions;
const int nparticles = rLagrangianModelPart.Nodes().size();
//#pragma omp parallel for firstprivate(results,N,veulerian,acc_particle)
for (int i = 0; i < nparticles; i++)
{
for (unsigned int substep = 0; substep < subdivisions; substep++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
Node < 3 > ::Pointer pparticle = *(iparticle.base());
if((iparticle)->FastGetSolutionStepValue(FLAG_VARIABLE)==1.0)
{
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if(is_found==false)
{
pparticle->Set(TO_ERASE,true);
}
if (is_found == true)
{
(pparticle)->GetValue(IS_VISITED) = 1;
Geometry< Node < 3 > >& geom = pelement->GetGeometry();
//move according to the streamline
noalias(veulerian) = N[0] * geom[0].FastGetSolutionStepValue(VELOCITY);
for (unsigned int k = 1; k < geom.size(); k++)
noalias(veulerian) += N[k] * geom[k].FastGetSolutionStepValue(VELOCITY);
//KRATOS_WATCH(veulerian);
array_1d<double, 3 > & disp = (iparticle)->FastGetSolutionStepValue(DISPLACEMENT);
noalias(disp) -= small_dt*veulerian;
//KRATOS_WATCH(disp);
///////////////
array_1d<double, 3 > & vel_particle = (pparticle)->FastGetSolutionStepValue(VELOCITY);
noalias(vel_particle) = veulerian;
////////////////////
//(pparticle)->Set(TO_ERASE, false);
//double pp=(iparticle)->X();
//double pp1=(iparticle)->Y();
//double pp2=(iparticle)->Z();
//KRATOS_WATCH(pp);// + old_disp[0];
//KRATOS_WATCH(pp1);// + old_disp[1];
//KRATOS_WATCH(pp2);// + old_disp[2];
//update position
noalias(iparticle->Coordinates()) = iparticle->GetInitialPosition();
noalias(iparticle->Coordinates()) += iparticle->FastGetSolutionStepValue(DISPLACEMENT);
(iparticle)->GetValue(IS_VISITED) = 0;
//double pp_1=(iparticle)->X();
//double pp1_1=(iparticle)->Y();
//double pp2_1=(iparticle)->Z();
//KRATOS_WATCH(pp_1);// + old_disp[0];
//KRATOS_WATCH(pp1_1);// + old_disp[1];
//KRATOS_WATCH(pp2_1);// + old_disp[2];
//KRATOS_WATCH((iparticle)->X());// + old_disp[0];
//KRATOS_WATCH((iparticle)->Y());// + old_disp[1];
//KRATOS_WATCH((iparticle)->Z());// + old_disp[2];
}
}
}
}
// NodeEraseProcess(rLagrangianModelPart).Execute();
KRATOS_CATCH("")
}
//**********************************************************************************************
void Back1(array_1d<double, 3 > & body_force, const double density, const double dt, const double subdivisions, ModelPart& rEulerianModelPart, ModelPart& rLagrangianModelPart, bool use_eulerian_velocity, BinBasedFastPointLocator<TDim>& node_locator)
{
KRATOS_TRY
if (rEulerianModelPart.NodesBegin()->SolutionStepsDataHas(FORCE) == false)
KRATOS_THROW_ERROR(std::logic_error, "Add ----FORCE---- variable!!!!!! ERROR", "");
//should be done outside!!!
// BinBasedFastPointLocator<TDim> node_locator(rEulerianModelPart);
// node_locator.UpdateSearchDatabase();
// double density_inverse = 1.0 / density;
//reset particle position to the beginning of the step
for (ModelPart::NodesContainerType::iterator node_it = rLagrangianModelPart.NodesBegin(); node_it != rLagrangianModelPart.NodesEnd(); ++node_it)
{
Node < 3 > ::Pointer pnode = *(node_it.base());
//pnode->Set(TO_ERASE, true);
node_it->GetValue(IS_VISITED) = 0;
}
// KRATOS_WATCH("539")
array_1d<double, 3 > veulerian;
array_1d<double, 3 > acc_particle;
array_1d<double, TDim + 1 > N;
const int max_results = 1000;
typename BinBasedFastPointLocator<TDim>::ResultContainerType results(max_results);
//subdivisions=10.0;
const double small_dt = dt / subdivisions;
const int nparticles = rLagrangianModelPart.Nodes().size();
//#pragma omp parallel for firstprivate(results,N,veulerian,acc_particle)
for (int i = 0; i < nparticles; i++)
{
for (unsigned int substep = 0; substep < subdivisions; substep++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
Node < 3 > ::Pointer pparticle = *(iparticle.base());
if((iparticle)->FastGetSolutionStepValue(FLAG_VARIABLE)==1.0)
{
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if(is_found==false)
{
pparticle->Set(TO_ERASE,true);
}
if (is_found == true)
{
(pparticle)->GetValue(IS_VISITED) = 1;
Geometry< Node < 3 > >& geom = pelement->GetGeometry();
//move according to the streamline
noalias(veulerian) = N[0] * geom[0].FastGetSolutionStepValue(VELOCITY);
for (unsigned int k = 1; k < geom.size(); k++)
noalias(veulerian) += N[k] * geom[k].FastGetSolutionStepValue(VELOCITY);
//KRATOS_WATCH(veulerian);
array_1d<double, 3 > & disp = (iparticle)->FastGetSolutionStepValue(DISPLACEMENT);
//KRATOS_WATCH((iparticle)->X());// + old_disp[0];
//KRATOS_WATCH((iparticle)->Y());// + old_disp[1];
//KRATOS_WATCH((iparticle)->Z());// + old_disp[2];
noalias(disp) += small_dt*veulerian;
//KRATOS_WATCH(disp);
///////////////
array_1d<double, 3 > & vel_particle = (pparticle)->FastGetSolutionStepValue(VELOCITY);
noalias(vel_particle) = veulerian;
////////////////////
//(pparticle)->Set(TO_ERASE, false);
//double pp=(iparticle)->X();
//double pp1=(iparticle)->Y();
//double pp2=(iparticle)->Z();
//KRATOS_WATCH(pp);// + old_disp[0];
//KRATOS_WATCH(pp1);// + old_disp[1];
//KRATOS_WATCH(pp2);// + old_disp[2];
//update position
noalias(iparticle->Coordinates()) = iparticle->GetInitialPosition();
noalias(iparticle->Coordinates()) += iparticle->FastGetSolutionStepValue(DISPLACEMENT);
(iparticle)->GetValue(IS_VISITED) = 0;
//double pp_1=(iparticle)->X();
//double pp1_1=(iparticle)->Y();
//double pp2_1=(iparticle)->Z();
//KRATOS_WATCH(pp_1);// + old_disp[0];
//KRATOS_WATCH(pp1_1);// + old_disp[1];
//KRATOS_WATCH(pp2_1);// + old_disp[2];
//KRATOS_WATCH((iparticle)->X());// + old_disp[0];
//KRATOS_WATCH((iparticle)->Y());// + old_disp[1];
//KRATOS_WATCH((iparticle)->Z());// + old_disp[2];
}
}
}
}
// NodeEraseProcess(rLagrangianModelPart).Execute();
KRATOS_CATCH("")
}
//**********************************************************************************************
//**********************************************************************************************
void StreamlineMove2(array_1d<double, 3 > & body_force, const double density, const double speficit_heat, const double dt, const double subdivisions, ModelPart& rEulerianModelPart, ModelPart& rLagrangianModelPart, bool use_eulerian_velocity, BinBasedFastPointLocator<TDim>& node_locator)
{
KRATOS_TRY
Timer time;
Timer::Start("StreamlineMove");
if (rEulerianModelPart.NodesBegin()->SolutionStepsDataHas(FORCE) == false)
KRATOS_THROW_ERROR(std::logic_error, "Add ----FORCE---- variable!!!!!! ERROR", "");
//reset particle position to the beginning of the step
for (ModelPart::NodesContainerType::iterator node_it = rLagrangianModelPart.NodesBegin();
node_it != rLagrangianModelPart.NodesEnd(); ++node_it)
{
Node < 3 > ::Pointer pnode = *(node_it.base());
pnode->Set(TO_ERASE, true);
node_it->GetValue(IS_VISITED) = 0;
}
// KRATOS_WATCH("539")
array_1d<double, 3 > veulerian;
array_1d<double, 3 > acc_particle;
array_1d<double, 3 > acc_particle1;
array_1d<double, TDim + 1 > N;
//double G;
const int max_results = 1000;
typename BinBasedFastPointLocator<TDim>::ResultContainerType results(max_results);
//const double small_dt = dt / subdivisions;
const int nparticles = rLagrangianModelPart.Nodes().size();
#pragma omp parallel for firstprivate(results,N,veulerian,acc_particle)
for (int i = 0; i < nparticles; i++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
double subdivisions = (iparticle)->FastGetSolutionStepValue(LAMBDA);
subdivisions=10.0;
const double small_dt = dt / subdivisions;
for (unsigned int substep = 0; substep < subdivisions; substep++)
{
Node < 3 > ::Pointer pparticle = *(iparticle.base());
if((iparticle)->FastGetSolutionStepValue(FLAG_VARIABLE)==1.0)
{
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if (is_found == true)
{
(pparticle)->GetValue(IS_VISITED) = 1;
Geometry< Node < 3 > >& geom = pelement->GetGeometry();
//move according to the streamline
noalias(veulerian) = N[0] * geom[0].FastGetSolutionStepValue(VELOCITY, 1);
for (unsigned int k = 1; k < geom.size(); k++)
noalias(veulerian) += N[k] * geom[k].FastGetSolutionStepValue(VELOCITY, 1);
array_1d<double, 3 > & disp = (iparticle)->FastGetSolutionStepValue(DISPLACEMENT);
noalias(disp) += small_dt*veulerian;
(pparticle)->Set(TO_ERASE, false);
noalias(acc_particle) = ZeroVector(3);
noalias(acc_particle1) = ZeroVector(3);
//G = 0.0;
for (unsigned int k = 0; k < geom.size(); k++)
{
noalias(acc_particle) += N[k] * geom[k].FastGetSolutionStepValue(FORCE) /** density_inverse*/;
// noalias(acc_particle1) += N[k] * geom[k].FastGetSolutionStepValue(ANGULAR_ACCELERATION) /** density_inverse*/;
}
array_1d<double, 3 > & vel_particle = (pparticle)->FastGetSolutionStepValue(VELOCITY);
// double density_inverse_1 = 1.0 / (pparticle)->FastGetSolutionStepValue(DENSITY);
//double density_inverse_1 =1.0;
noalias(vel_particle) += small_dt*acc_particle;// * density_inverse_1;
//noalias(vel_particle) += small_dt*acc_particle1;//* density_inverse_1 ;
//update position
noalias(iparticle->Coordinates()) = iparticle->GetInitialPosition();
noalias(iparticle->Coordinates()) += iparticle->FastGetSolutionStepValue(DISPLACEMENT);
(iparticle)->GetValue(IS_VISITED) = 0;
}
}
}
}
//erase nodes whose velocity is far inconsistent with the displacement increment (typically nodes that get stuck to the wall)
Timer::Stop("StreamlineMove");
KRATOS_WATCH(time)
KRATOS_CATCH("")
}
//**********************************************************************************************
//function to seed a list of new nodes
void Density(ModelPart& rEulerianModelPart, ModelPart& rLagrangianModelPart, BinBasedFastPointLocator<TDim>& node_locator)
{
KRATOS_TRY;
Timer time;
Timer::Start("Puntos");
//generate a tree with the position of the lagrangian nodes
// typedef Node < 3 > PointType;
// typedef Node < 3 > ::Pointer PointTypePointer;
// typedef Node<3> NodeType;
//unsigned int min_number_of_particles = 4 ;
// int id;
// if (rLagrangianModelPart.Nodes().size() != 0)
// id = (rLagrangianModelPart.NodesEnd() - 1)->Id();
// else
// id = 1;
for (ModelPart::ElementsContainerType::iterator el_it = rEulerianModelPart.ElementsBegin();
el_it != rEulerianModelPart.ElementsEnd(); el_it++)
{
// el_it->SetValue(DENSITY,0.0);
el_it->SetValue(YOUNG_MODULUS,0.0);
el_it->SetValue(POISSON_RATIO,0.0);
}
//int last_id=id;
//count particles that fall within an element
array_1d<double, TDim + 1 > N;
const int max_results = 1000;
typename BinBasedFastPointLocator<TDim>::ResultContainerType results(max_results);
int nparticles = rLagrangianModelPart.Nodes().size();
//double density=0.0;
//int number=0.0;
//count particles within an element
//#pragma omp parallel for firstprivate(results,N)
for (int i = 0; i < nparticles; i++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
Node < 3 > ::Pointer pparticle = *(iparticle.base());
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if (is_found == true)
{
double density = (pparticle)->FastGetSolutionStepValue(DENSITY);
double& counter_min = pelement->GetValue(YOUNG_MODULUS);
double& counter_max = pelement->GetValue(POISSON_RATIO);
if(density==1.0)
{
counter_min +=1.0;
}
if(density==1000.0)
{
counter_max +=1.0;
}
}
}
for (ModelPart::ElementsContainerType::iterator el_it = rEulerianModelPart.ElementsBegin(); el_it != rEulerianModelPart.ElementsEnd(); el_it++)
{
double& dens = el_it->GetValue(DENSITY);
double counter_min = el_it->GetValue(YOUNG_MODULUS);
double counter_max = el_it->GetValue(POISSON_RATIO);
if(counter_min==0.0 && counter_max>0.0)
{
dens=1000.0;
}
if(counter_min>0.0 && counter_max==0.0)
{
dens=1.0;
}
if(counter_min>0.0 && counter_max>0.0)
{
dens=500.0;
}
if(counter_min==0.0 && counter_max==0.0)
{
//dens=1.0;
KRATOS_WATCH("SIN PARTICULAS");
KRATOS_WATCH("SIN PARTICULAS");
KRATOS_WATCH("SIN PARTICULAS");
KRATOS_WATCH("SIN PARTICULAS");
KRATOS_WATCH(dens);
KRATOS_THROW_ERROR(std::logic_error, "NEGATIVE VALUE OF Time step estimated" , "");
}
//KRATOS_WATCH(dens);
}
KRATOS_CATCH("");
}
//**********************************************************************************************
void Density1(ModelPart& rEulerianModelPart, ModelPart& rLagrangianModelPart, BinBasedFastPointLocator<TDim>& node_locator)
{
KRATOS_TRY;
Timer time;
Timer::Start("Puntos");
//generate a tree with the position of the lagrangian nodes
// typedef Node < 3 > PointType;
// typedef Node < 3 > ::Pointer PointTypePointer;
// typedef Node<3> NodeType;
//unsigned int min_number_of_particles = 4 ;
// int id;
// if (rLagrangianModelPart.Nodes().size() != 0)
// id = (rLagrangianModelPart.NodesEnd() - 1)->Id();
// else
// id = 1;
//int last_id=id;
//count particles that fall within an element
array_1d<double, TDim + 1 > N;
const int max_results = 1000;
typename BinBasedFastPointLocator<TDim>::ResultContainerType results(max_results);
int nparticles = rLagrangianModelPart.Nodes().size();
//count particles within an element
//#pragma omp parallel for firstprivate(results,N)
for (int i = 0; i < nparticles; i++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
Node < 3 > ::Pointer pparticle = *(iparticle.base());
if((iparticle)->FastGetSolutionStepValue(FLAG_VARIABLE)==1.0)
{
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if (is_found == true)
{
Geometry< Node < 3 > >& geom = pelement->GetGeometry();
double& density = (pparticle)->FastGetSolutionStepValue(DENSITY);
double density_element = pelement->GetValue(DENSITY);
double density_node;
if(N(0)>0.5)
{
density_node= geom[0].FastGetSolutionStepValue(DENSITY);
if(density_node<600.0) density=1.0;
else
density=1000.0;
}
else if(N(1)>0.5)
{
density_node= geom[1].FastGetSolutionStepValue(DENSITY);
if(density_node<600.0) density=1.0;
else
density=1000.0;
}
else if(N(2)>0.5)
{
density_node= geom[2].FastGetSolutionStepValue(DENSITY);
if(density_node<600.0) density=1.0;
else
density=1000.0;
}
else
{
if(density_element>600.0)
{
density=1000.0;
}
else if(density_element<=600.0)
{
density=1.0;
}
}
/*if( density_element ==1.00 )density=1.0;
else if(density_element >1.00 and density_element<500){density=1.0; pparticle->Set(TO_ERASE, true);}
else if( density_element >=500.00 and density_element<1000) {density=1000.0; pparticle->Set(TO_ERASE, true);}
else if(density_element=1000.0) density=1000.0;*/
}
}
}
//NodeEraseProcess(rLagrangianModelPart).Execute();
KRATOS_CATCH("");
}
//**********************************************************************************************
//**********************************************************************************************
void EstimateTime(ModelPart& rEulerianModelPart,const double max_dt)
{
KRATOS_TRY
// KRATOS_THROW_ERROR(std::logic_error, "NEGATIVE VALUE OF Time step estimated" , "");
//initializee dt with max dt
//initialize dt with incredible value
double /*dt, glob_min_dt,*/ dummy;
// double h, nu;
array_1d<double,3> N = ZeroVector(3);
array_1d<double,3> aux = ZeroVector(3); //dimension = number of nodes
array_1d<double,3> vel = ZeroVector(3); //dimension = number of nodes
boost::numeric::ublas::bounded_matrix<double,3,2> DN_DX = ZeroMatrix(3,2);
array_1d<double,2> ms_vel_gauss = ZeroVector(2); //dimesion coincides with space dimension
//initialize it with given value
// glob_min_dt=max_dt;
// dt=0.0;
for(ModelPart::ElementsContainerType::iterator im = rEulerianModelPart.ElementsBegin() ; im !=rEulerianModelPart.ElementsEnd() ; ++im)
{
GeometryUtils::CalculateGeometryData(im->GetGeometry(),DN_DX,N,dummy);
double h = sqrt(2.00*dummy);
array_1d<double,3> const& v = im->GetGeometry()[0].FastGetSolutionStepValue(VELOCITY);
ms_vel_gauss[0] = v[0];
ms_vel_gauss[1] = v[1];
//direction of the height is stored in the auxilliary vector
for (unsigned int i=1; i<3; i++)
{
array_1d<double,3> const& vi = im->GetGeometry()[i].FastGetSolutionStepValue(VELOCITY);
ms_vel_gauss[0] += vi[0];
ms_vel_gauss[1] += vi[1];
}
ms_vel_gauss *=0.3333;
double norm_u = ms_vel_gauss[0]*ms_vel_gauss[0] + ms_vel_gauss[1]*ms_vel_gauss[1];
norm_u = sqrt(norm_u);
double courant= norm_u * max_dt / h;
double& counter = im->GetValue(POISSON_RATIO);
counter = courant;
}
KRATOS_CATCH("");
}
//**********************************************************************************************
//**********************************************************************************************
void VisualizationModelPart(ModelPart& rCompleteModelPart, ModelPart& rEulerianModelPart, ModelPart & rLagrangianModelPart)
{
KRATOS_TRY;
rCompleteModelPart.Elements() = rEulerianModelPart.Elements();
rCompleteModelPart.Nodes() = rEulerianModelPart.Nodes();
unsigned int id;
if(rEulerianModelPart.Nodes().size()!= 0)
id = (rEulerianModelPart.Nodes().end() - 1)->Id() + 1;
else
id = 1;
//preallocate the memory needed
int tot_nodes = rEulerianModelPart.Nodes().size() + rLagrangianModelPart.Nodes().size();
rCompleteModelPart.Nodes().reserve( tot_nodes );
//note that here we renumber the nodes
for (ModelPart::NodesContainerType::iterator node_it = rLagrangianModelPart.NodesBegin();
node_it != rLagrangianModelPart.NodesEnd(); node_it++)
{
node_it->SetId(id++);
rCompleteModelPart.AddNode(*(node_it.base()));
}
KRATOS_CATCH("");
}
//**********************************************************************************************
//**********************************************************************************************
void TransferToEulerianMesh(ModelPart& rEulerianModelPart, ModelPart & rLagrangianModelPart)
{
KRATOS_TRY
//defintions for spatial search
typedef Node < 3 > PointType;
typedef Node < 3 > ::Pointer PointTypePointer;
typedef std::vector<PointType::Pointer> PointVector;
typedef std::vector<PointType::Pointer>::iterator PointIterator;
typedef std::vector<double> DistanceVector;
typedef std::vector<double>::iterator DistanceIterator;
//creating an auxiliary list for the new nodes
PointVector list_of_nodes;
//*************
// Bucket types
typedef Bucket< TDim, PointType, PointVector, PointTypePointer, PointIterator, DistanceIterator > BucketType;
// typedef Bins< TDim, PointType, PointVector, PointTypePointer, PointIterator, DistanceIterator > StaticBins;
// typedef BinsDynamic< TDim, PointType, PointVector, PointTypePointer, PointIterator, DistanceIterator > DynamicBins;
//*************
// DynamicBins;
typedef Tree< KDTreePartition<BucketType> > tree; //Kdtree;
// typedef Tree< OCTreePartition<BucketType> > tree; //Octree;
// typedef Tree< StaticBins > tree; //Binstree;
// typedef Tree< KDTreePartition<StaticBins> > tree; //KdtreeBins;
// typedef typename KdtreeBins::Partitions SubPartitions;
// typedef Tree< OCTreePartition<StaticBins> > tree; //OctreeBins;
/*
typedef Bins< TDim, PointType, stdPointVector> stdBins;
typedef Tree< Bins<TDim,PointType,stdPointVector> > tree; //stdStaticBins;*/
//starting calculating time of construction of the kdtree
boost::timer kdtree_construction;
for (ModelPart::NodesContainerType::iterator node_it = rLagrangianModelPart.NodesBegin();
node_it != rLagrangianModelPart.NodesEnd(); ++node_it)
{
PointTypePointer pnode = *(node_it.base());
//putting the nodes of the destination_model part in an auxiliary list
list_of_nodes.push_back(pnode);
}
std::cout << "kdt constructin time " << kdtree_construction.elapsed() << std::endl;
//create a spatial database with the list of new nodes
unsigned int bucket_size = 20;
tree nodes_tree(list_of_nodes.begin(), list_of_nodes.end(), bucket_size);
//work arrays
Node < 3 > work_point(0, 0.0, 0.0, 0.0);
unsigned int MaximumNumberOfResults = 10000;
PointVector Results(MaximumNumberOfResults);
DistanceVector SquaredResultsDistances(MaximumNumberOfResults);
if (rEulerianModelPart.NodesBegin()->SolutionStepsDataHas(NODAL_H) == false)
KRATOS_THROW_ERROR(std::logic_error, "Add ----NODAL_H---- variable!!!!!! ERROR", "");
double sigma = 0.0;
if (TDim == 2)
sigma = 10.0 / (7.0 * 3.1415926);
else
sigma = 1.0 / 3.1415926;
for (ModelPart::NodesContainerType::iterator node_it = rEulerianModelPart.NodesBegin();
node_it != rEulerianModelPart.NodesEnd(); node_it++)
{
work_point.X() = node_it->X();
work_point.Y() = node_it->Y();
work_point.Z() = node_it->Z();
double radius = 0.6 * node_it->FastGetSolutionStepValue(NODAL_H);
//find all of the new nodes within the radius
int number_of_points_in_radius;
//look between the new nodes which of them is inside the radius of the circumscribed cyrcle
number_of_points_in_radius = nodes_tree.SearchInRadius(work_point, radius, Results.begin(),
SquaredResultsDistances.begin(), MaximumNumberOfResults);
//PRUEBA
array_1d<double, 3 > & vel1 = (node_it)->FastGetSolutionStepValue(VELOCITY);
array_1d<double, 3 > original_vel1 = vel1;
if (number_of_points_in_radius > 0)
{
array_1d<double, 3 > & vel = (node_it)->FastGetSolutionStepValue(VELOCITY);
//double& temperature = (node_it)->FastGetSolutionStepValue(TEMPERATURE);
array_1d<double, 3 > original_vel = vel;
//double original_temperature = temperature;
noalias(vel) = ZeroVector(3);
//temperature = 0.0;
double tot_weight = 0.0;
for (int k = 0; k < number_of_points_in_radius; k++)
{
// double weight = 1.0;
double distance = sqrt(*(SquaredResultsDistances.begin() + k));
double weight = SPHCubicKernel(sigma, distance, radius);
tot_weight += weight;
PointIterator it_found = Results.begin() + k;
// array_1d<double,3> aux = (*it_found)->Coordinates()-node_it->Coordinates();
// KRATOS_WATCH(norm_2(aux));
// KRATOS_WATCH( *(SquaredResultsDistances.begin()+k) );
const array_1d<double, 3 > particle_velocity = (*it_found)->FastGetSolutionStepValue(VELOCITY);
//const double particle_temperature = (*it_found)->FastGetSolutionStepValue(TEMPERATURE);
noalias(vel) += weight * particle_velocity;
//temperature += weight * particle_temperature;
}
vel /= tot_weight;
//temperature /= tot_weight;
if (node_it->IsFixed(VELOCITY_X))
{
noalias(vel) = original_vel;
}
/*if (node_it->IsFixed(TEMPERATURE))
temperature = original_temperature;*/
}
else
{
if (node_it->IsFixed(VELOCITY_X))
{
noalias(vel1) = original_vel1;
}
}
}
KRATOS_CATCH("")
}
//**********************************************************************************************
//**********************************************************************************************
void TransferToEulerianMeshShapeBased(ModelPart& rEulerianModelPart, ModelPart & rLagrangianModelPart, BinBasedFastPointLocator<TDim>& node_locator)
{
KRATOS_TRY
Timer time;
Timer::Start("Interpolacion");
if (rEulerianModelPart.NodesBegin()->SolutionStepsDataHas(FORCE) == false)
KRATOS_THROW_ERROR(std::logic_error, "Add ----FORCE---- variable!!!!!! ERROR", "");
if (rEulerianModelPart.NodesBegin()->SolutionStepsDataHas(TEMPERATURE) == false)
KRATOS_THROW_ERROR(std::logic_error, "Add ----TEMPERATURE---- variable!!!!!! ERROR", "");
//defintions for spatial search
// typedef Node < 3 > PointType;
// typedef Node < 3 > ::Pointer PointTypePointer;
for (ModelPart::NodesContainerType::iterator node_it = rEulerianModelPart.NodesBegin();
node_it != rEulerianModelPart.NodesEnd(); node_it++)
{
(node_it)->GetValue(POISSON_RATIO) = 0.0;
(node_it)->FastGetSolutionStepValue(DENSITY) = 0.0;
//(node_it)->FastGetSolutionStepValue(FLAG_VARIABLE) = 0.0;
if (node_it->IsFixed(VELOCITY_X) == false)
{
(node_it)->FastGetSolutionStepValue(VELOCITY) = ZeroVector(3);
(node_it)->GetValue(YOUNG_MODULUS) = 0.0;
}
}
array_1d<double, TDim + 1 > N;
const int max_results = 1000;
typename BinBasedFastPointLocator<TDim>::ResultContainerType results(max_results);
const int nparticles = rLagrangianModelPart.Nodes().size();
#pragma omp parallel for firstprivate(results,N)
for (int i = 0; i < nparticles; i++)
{
ModelPart::NodesContainerType::iterator iparticle = rLagrangianModelPart.NodesBegin() + i;
Node < 3 > ::Pointer pparticle = *(iparticle.base());
typename BinBasedFastPointLocator<TDim>::ResultIteratorType result_begin = results.begin();
Element::Pointer pelement;
bool is_found = node_locator.FindPointOnMesh(pparticle->Coordinates(), N, pelement, result_begin, max_results);
if (is_found == true)
{
Geometry<Node<3> >& geom = pelement->GetGeometry();
const array_1d<double, 3 > & vel_particle = (iparticle)->FastGetSolutionStepValue(VELOCITY);
double density_particle = (iparticle)->FastGetSolutionStepValue(DENSITY);
//double flag_variable_particle = (iparticle)->FastGetSolutionStepValue(FLAG_VARIABLE);
for (unsigned int k = 0; k < geom.size(); k++)
{
geom[k].SetLock();
geom[k].FastGetSolutionStepValue(DENSITY) += N[k] * density_particle;
geom[k].GetValue(POISSON_RATIO) += N[k];
geom[k].UnSetLock();
if (geom[k].IsFixed(VELOCITY_X) == false)
{
geom[k].SetLock();
geom[k].FastGetSolutionStepValue(VELOCITY) += N[k] * vel_particle;
geom[k].GetValue(YOUNG_MODULUS) += N[k];
geom[k].UnSetLock();
}
}
}
}
for (ModelPart::NodesContainerType::iterator node_it = rEulerianModelPart.NodesBegin();
node_it != rEulerianModelPart.NodesEnd(); node_it++)
{
const double NN1 = (node_it)->GetValue(POISSON_RATIO);
if (NN1 != 0.0)
{
//double pepe;
(node_it)->FastGetSolutionStepValue(DENSITY) /= NN1;
//(node_it)->FastGetSolutionStepValue(FLAG_VARIABLE) /= NN1;
}
else
{
std::cout << node_it->Id() << " coeff = " << NN1 << std::endl;
}
if (node_it->IsFixed(VELOCITY_X) == false)
{
const double NN = (node_it)->GetValue(YOUNG_MODULUS);
if (NN != 0.0)
{
(node_it)->FastGetSolutionStepValue(VELOCITY) /= NN;
}
else
{
std::cout << node_it->Id() << " coeff = " << NN << std::endl;
}
}
}
Timer::Stop("Interpolacion");
//KRATOS_WATCH(time)
KRATOS_CATCH("")
}
//restarting the step from the beginning
void RestartStep(ModelPart & rModelPart)
{
KRATOS_TRY;
//setting the variables to their value at the beginning of the time step
rModelPart.OverwriteSolutionStepData(1, 0);
//setting the coordinates to their value at the beginning of the step
for (ModelPart::NodesContainerType::iterator node_it = rModelPart.NodesBegin();
node_it != rModelPart.NodesEnd(); node_it++)
{
array_1d<double, 3 > & coords = node_it->Coordinates();
const array_1d<double, 3 > & old_disp = node_it->FastGetSolutionStepValue(DISPLACEMENT, 1);
coords[0] = node_it->X0() + old_disp[0];
coords[1] = node_it->Y0() + old_disp[1];
coords[2] = node_it->Z0() + old_disp[2];
}
KRATOS_CATCH("");
}
private:
inline double SPHCubicKernel(const double sigma, const double r, const double hmax)
{
double h_half = 0.5 * hmax;
const double s = r / h_half;
const double coeff = sigma / pow(h_half, static_cast<int>(TDim));
if (s <= 1.0)
return coeff * (1.0 - 1.5 * s * s + 0.75 * s * s * s);
else if (s <= 2.0)
return 0.25 * coeff * pow(2.0 - s, 3);
else
return 0.0;
}
inline void CalculateCenterAndSearchRadius(Geometry<Node < 3 > >&geom,
double& xc, double& yc, double& zc, double& R, array_1d<double, 3 > & N
)
{
double x0 = geom[0].X();
double y0 = geom[0].Y();
double x1 = geom[1].X();
double y1 = geom[1].Y();
double x2 = geom[2].X();
double y2 = geom[2].Y();
xc = 0.3333333333333333333 * (x0 + x1 + x2);
yc = 0.3333333333333333333 * (y0 + y1 + y2);
zc = 0.0;
double R1 = (xc - x0)*(xc - x0) + (yc - y0)*(yc - y0);
double R2 = (xc - x1)*(xc - x1) + (yc - y1)*(yc - y1);
double R3 = (xc - x2)*(xc - x2) + (yc - y2)*(yc - y2);
R = R1;
if (R2 > R) R = R2;
if (R3 > R) R = R3;
R = 1.01 * sqrt(R);
}
//***************************************
//***************************************
inline void CalculateCenterAndSearchRadius(Geometry<Node < 3 > >&geom,
double& xc, double& yc, double& zc, double& R, array_1d<double, 4 > & N
)
{
double x0 = geom[0].X();
double y0 = geom[0].Y();
double z0 = geom[0].Z();
double x1 = geom[1].X();
double y1 = geom[1].Y();
double z1 = geom[1].Z();
double x2 = geom[2].X();
double y2 = geom[2].Y();
double z2 = geom[2].Z();
double x3 = geom[3].X();
double y3 = geom[3].Y();
double z3 = geom[3].Z();
xc = 0.25 * (x0 + x1 + x2 + x3);
yc = 0.25 * (y0 + y1 + y2 + y3);
zc = 0.25 * (z0 + z1 + z2 + z3);
double R1 = (xc - x0)*(xc - x0) + (yc - y0)*(yc - y0) + (zc - z0)*(zc - z0);
double R2 = (xc - x1)*(xc - x1) + (yc - y1)*(yc - y1) + (zc - z1)*(zc - z1);
double R3 = (xc - x2)*(xc - x2) + (yc - y2)*(yc - y2) + (zc - z2)*(zc - z2);
double R4 = (xc - x3)*(xc - x3) + (yc - y3)*(yc - y3) + (zc - z3)*(zc - z3);
R = R1;
if (R2 > R) R = R2;
if (R3 > R) R = R3;
if (R4 > R) R = R4;
R = sqrt(R);
}
//***************************************
//***************************************
inline bool CalculatePosition(Geometry<Node < 3 > >&geom,
const double xc, const double yc, const double zc,
array_1d<double, 3 > & N
)
{
double x0 = geom[0].X();
double y0 = geom[0].Y();
double x1 = geom[1].X();
double y1 = geom[1].Y();
double x2 = geom[2].X();
double y2 = geom[2].Y();
double area = CalculateVol(x0, y0, x1, y1, x2, y2);
double inv_area = 0.0;
if (area == 0.0)
{
KRATOS_THROW_ERROR(std::logic_error, "element with zero area found", "");
}
else
{
inv_area = 1.0 / area;
}
N[0] = CalculateVol(x1, y1, x2, y2, xc, yc) * inv_area;
N[1] = CalculateVol(x2, y2, x0, y0, xc, yc) * inv_area;
N[2] = CalculateVol(x0, y0, x1, y1, xc, yc) * inv_area;
if (N[0] >= 0.0 && N[1] >= 0.0 && N[2] >= 0.0 && N[0] <= 1.0 && N[1] <= 1.0 && N[2] <= 1.0) //if the xc yc is inside the triangle return true
return true;
return false;
}
//***************************************
//***************************************
inline bool CalculatePosition(Geometry<Node < 3 > >&geom,
const double xc, const double yc, const double zc,
array_1d<double, 4 > & N
)
{
double x0 = geom[0].X();
double y0 = geom[0].Y();
double z0 = geom[0].Z();
double x1 = geom[1].X();
double y1 = geom[1].Y();
double z1 = geom[1].Z();
double x2 = geom[2].X();
double y2 = geom[2].Y();
double z2 = geom[2].Z();
double x3 = geom[3].X();
double y3 = geom[3].Y();
double z3 = geom[3].Z();
double vol = CalculateVol(x0, y0, z0, x1, y1, z1, x2, y2, z2, x3, y3, z3);
double inv_vol = 0.0;
if (vol < 0.0000000000001)
{
KRATOS_THROW_ERROR(std::logic_error, "element with zero vol found", "");
}
else
{
inv_vol = 1.0 / vol;
}
N[0] = CalculateVol(x1, y1, z1, x3, y3, z3, x2, y2, z2, xc, yc, zc) * inv_vol;
N[1] = CalculateVol(x0, y0, z0, x1, y1, z1, x2, y2, z2, xc, yc, zc) * inv_vol;
N[2] = CalculateVol(x3, y3, z3, x1, y1, z1, x0, y0, z0, xc, yc, zc) * inv_vol;
N[3] = CalculateVol(x3, y3, z3, x0, y0, z0, x2, y2, z2, xc, yc, zc) * inv_vol;
if (N[0] >= 0.0 && N[1] >= 0.0 && N[2] >= 0.0 && N[3] >= 0.0 &&
N[0] <= 1.0 && N[1] <= 1.0 && N[2] <= 1.0 && N[3] <= 1.0)
//if the xc yc zc is inside the tetrahedron return true
return true;
return false;
}
inline double CalculateVol(const double x0, const double y0,
const double x1, const double y1,
const double x2, const double y2
)
{
return 0.5 * ((x1 - x0)*(y2 - y0)- (y1 - y0)*(x2 - x0));
}
//***************************************
//***************************************
inline double CalculateVol(const double x0, const double y0, const double z0,
const double x1, const double y1, const double z1,
const double x2, const double y2, const double z2,
const double x3, const double y3, const double z3
)
{
double x10 = x1 - x0;
double y10 = y1 - y0;
double z10 = z1 - z0;
double x20 = x2 - x0;
double y20 = y2 - y0;
double z20 = z2 - z0;
double x30 = x3 - x0;
double y30 = y3 - y0;
double z30 = z3 - z0;
double detJ = x10 * y20 * z30 - x10 * y30 * z20 + y10 * z20 * x30 - y10 * x20 * z30 + z10 * x20 * y30 - z10 * y20 * x30;
return detJ * 0.1666666666666666666667;
}
void ComputeGaussPointPositions(Geometry< Node < 3 > >& geom, boost::numeric::ublas::bounded_matrix<double, 4, 3 > & pos, boost::numeric::ublas::bounded_matrix<double, 4, 3 > & N)
{
double one_third = 1.0 / 3.0;
double one_sixt = 1.0 / 6.0;
double two_third = 2.0 * one_third;
N(0, 0) = one_sixt;
N(0, 1) = one_sixt;
N(0, 2) = two_third;
N(1, 0) = two_third;
N(1, 1) = one_sixt;
N(1, 2) = one_sixt;
N(2, 0) = one_sixt;
N(2, 1) = two_third;
N(2, 2) = one_sixt;
N(3, 0) = one_third;
N(3, 1) = one_third;
N(3, 2) = one_third;
//first
pos(0, 0) = one_sixt * geom[0].X() + one_sixt * geom[1].X() + two_third * geom[2].X();
pos(0, 1) = one_sixt * geom[0].Y() + one_sixt * geom[1].Y() + two_third * geom[2].Y();
pos(0, 2) = one_sixt * geom[0].Z() + one_sixt * geom[1].Z() + two_third * geom[2].Z();
//second
pos(1, 0) = two_third * geom[0].X() + one_sixt * geom[1].X() + one_sixt * geom[2].X();
pos(1, 1) = two_third * geom[0].Y() + one_sixt * geom[1].Y() + one_sixt * geom[2].Y();
pos(1, 2) = two_third * geom[0].Z() + one_sixt * geom[1].Z() + one_sixt * geom[2].Z();
//third
pos(2, 0) = one_sixt * geom[0].X() + two_third * geom[1].X() + one_sixt * geom[2].X();
pos(2, 1) = one_sixt * geom[0].Y() + two_third * geom[1].Y() + one_sixt * geom[2].Y();
pos(2, 2) = one_sixt * geom[0].Z() + two_third * geom[1].Z() + one_sixt * geom[2].Z();
//fourth
pos(3, 0) = one_third * geom[0].X() + one_third * geom[1].X() + one_third * geom[2].X();
pos(3, 1) = one_third * geom[0].Y() + one_third * geom[1].Y() + one_third * geom[2].Y();
pos(3, 2) = one_third * geom[0].Z() + one_third * geom[1].Z() + one_third * geom[2].Z();
}
void ComputeGaussPointPositions(Geometry< Node < 3 > >& geom, boost::numeric::ublas::bounded_matrix<double, 16, 3 > & pos, boost::numeric::ublas::bounded_matrix<double, 16, 3 > & N)
{
//lower diagonal terms
double ypos = 1.0 / 12.0;
int pos_counter = 0;
for (unsigned int i = 0; i < 4; i++)
{
double xpos = 1.0 / 12.0;
for (unsigned int j = 0; j < 4 - i; j++)
{
double N1 = xpos;
double N2 = ypos;
double N3 = 1.0 - xpos - ypos;
pos(pos_counter, 0) = N1 * geom[0].X() + N2 * geom[1].X() + N3 * geom[2].X();
pos(pos_counter, 1) = N1 * geom[0].Y() + N2 * geom[1].Y() + N3 * geom[2].Y();
pos(pos_counter, 2) = N1 * geom[0].Z() + N2 * geom[1].Z() + N3 * geom[2].Z();
N(pos_counter, 0) = N1;
N(pos_counter, 1) = N2;
N(pos_counter, 2) = N3;
xpos += 1.0 / 4.0;
pos_counter += 1;
}
ypos += 1.0 / 4.0;
}
//lower diagonal terms
ypos = 2.0 / 12.0;
// pos_counter = 8;
for (unsigned int i = 0; i < 3; i++)
{
double xpos = 2.0 / 12.0;
for (unsigned int j = 0; j < 4 - i; j++)
{
double N1 = xpos;
double N2 = ypos;
double N3 = 1.0 - xpos - ypos;
pos(pos_counter, 0) = N1 * geom[0].X() + N2 * geom[1].X() + N3 * geom[2].X();
pos(pos_counter, 1) = N1 * geom[0].Y() + N2 * geom[1].Y() + N3 * geom[2].Y();
pos(pos_counter, 2) = N1 * geom[0].Z() + N2 * geom[1].Z() + N3 * geom[2].Z();
N(pos_counter, 0) = N1;
N(pos_counter, 1) = N2;
N(pos_counter, 2) = N3;
xpos += 1.0 / 4.0;
pos_counter += 1;
}
ypos += 1.0 / 4.0;
}
}
void ConsistentMassMatrix(const double A, boost::numeric::ublas::bounded_matrix<double, 3, 3 > & M)
{
double c1 = A / 12.0;
double c2 = 2.0 * c1;
M(0, 0) = c2;
M(0, 1) = c1;
M(0, 2) = c1;
M(1, 0) = c1;
M(1, 1) = c2;
M(1, 2) = c1;
M(2, 0) = c1;
M(2, 1) = c1;
M(2, 2) = c2;
}
};
} // namespace Kratos.
#endif // KRATOS_LAGRANGIAN_PARTICLES_UTILITIES_INCLUDED defined
|
GB_binop__eq_int32.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__eq_int32)
// A.*B function (eWiseMult): GB (_AemultB_08__eq_int32)
// A.*B function (eWiseMult): GB (_AemultB_02__eq_int32)
// A.*B function (eWiseMult): GB (_AemultB_04__eq_int32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__eq_int32)
// A*D function (colscale): GB (_AxD__eq_int32)
// D*A function (rowscale): GB (_DxB__eq_int32)
// C+=B function (dense accum): GB (_Cdense_accumB__eq_int32)
// C+=b function (dense accum): GB (_Cdense_accumb__eq_int32)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__eq_int32)
// C=scalar+B GB (_bind1st__eq_int32)
// C=scalar+B' GB (_bind1st_tran__eq_int32)
// C=A+scalar GB (_bind2nd__eq_int32)
// C=A'+scalar GB (_bind2nd_tran__eq_int32)
// C type: bool
// A type: int32_t
// A pattern? 0
// B type: int32_t
// B pattern? 0
// BinaryOp: cij = (aij == bij)
#define GB_ATYPE \
int32_t
#define GB_BTYPE \
int32_t
#define GB_CTYPE \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
0
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
0
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
int32_t aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int32_t bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x == y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_EQ || GxB_NO_INT32 || GxB_NO_EQ_INT32)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__eq_int32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__eq_int32)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__eq_int32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type int32_t
int32_t bwork = (*((int32_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__eq_int32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__eq_int32)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__eq_int32)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
int32_t alpha_scalar ;
int32_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int32_t *) alpha_scalar_in)) ;
beta_scalar = (*((int32_t *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__eq_int32)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__eq_int32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__eq_int32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__eq_int32)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__eq_int32)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *Cx = (bool *) Cx_output ;
int32_t x = (*((int32_t *) x_input)) ;
int32_t *Bx = (int32_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int32_t bij = GBX (Bx, p, false) ;
Cx [p] = (x == bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__eq_int32)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
bool *Cx = (bool *) Cx_output ;
int32_t *Ax = (int32_t *) Ax_input ;
int32_t y = (*((int32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int32_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij == y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x == aij) ; \
}
GrB_Info GB (_bind1st_tran__eq_int32)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t x = (*((const int32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int32_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij == y) ; \
}
GrB_Info GB (_bind2nd_tran__eq_int32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t y = (*((const int32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
tensor_transpose.h | // Copyright (C) 2019. Huawei Technologies Co., Ltd. All rights reserved.
// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
// WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
// COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
#ifndef _H_TENSOR_TRANSPOSE
#define _H_TENSOR_TRANSPOSE
#include "tensor_desc.h"
#include "uni.h"
#include "thread_affinity.h"
template <typename T>
inline static void transformToNCHWKernel(
TensorDesc inputDesc, const T *input, TensorDesc outputDesc, T *output)
{
DataType idt, odt;
DataFormat idf, odf;
U32 in, ic, ih, iw, on, oc, oh, ow;
if (tensorIs2d(inputDesc)) {
CHECK_STATUS(tensor2dGet(inputDesc, &idt, &idf, &in, &iw));
ic = 1;
ih = 1;
} else if (tensorIs3d(inputDesc)) {
if (inputDesc.df == DF_NHWC) {
CHECK_STATUS(tensor3dGet(inputDesc, &idt, &idf, &in, &ih, &iw));
ic = 1;
} else {
CHECK_STATUS(tensor3dGet(inputDesc, &idt, &idf, &in, &ic, &ih));
iw = 1;
}
} else if (tensorIs4d(inputDesc)) {
CHECK_STATUS(tensor4dGet(inputDesc, &idt, &idf, &in, &ic, &ih, &iw));
} else {
UNI_ERROR_LOG("not support transform %d-dim tensor to NCHW format\n", (int)inputDesc.nDims);
return;
}
if (tensorIs3d(outputDesc)) {
CHECK_STATUS(tensor3dGet(outputDesc, &odt, &odf, &on, &oc, &oh));
ow = 1;
} else if (tensorIs4d(outputDesc)) {
CHECK_STATUS(tensor4dGet(outputDesc, &odt, &odf, &on, &oc, &oh, &ow));
} else {
UNI_ERROR_LOG("not support transform to %d-dim NCHW tensor\n", (int)outputDesc.nDims);
return;
}
CHECK_REQUIREMENT(idt == odt);
switch (idf) {
case DF_NCHW: {
if (in == on && ic == oc && ih == oh && iw == ow) {
if (output != input) {
memcpy(output, input, tensorNumBytes(outputDesc));
}
} else {
U32 tileSize = UNI_MIN(iw, ow) * bytesOf(idt);
for (U32 n = 0; n < on && n < in; n++) {
for (U32 c = 0; c < oc && c < ic; c++) {
for (U32 h = 0; h < oh && h < ih; h++) {
U32 srcIndex = ((n * ic + c) * ih + h) * iw;
U32 dstIndex = ((n * oc + c) * oh + h) * ow;
memcpy(output + dstIndex, input + srcIndex, tileSize);
}
}
}
}
break;
}
case DF_NCHWC8: {
U32 cx = 8;
U32 ic_a = ic / cx;
U32 minH = UNI_MIN(oh, ih);
U32 minC = UNI_MIN(oc, ic);
for (U32 n = 0; n < on && n < in; n++) {
#ifdef _USE_OPENMP
#pragma omp parallel for num_threads(OMP_NUM_THREADS)
#endif
for (U32 c = 0; c < minC; c++) {
for (U32 h = 0; h < minH; h++) {
for (U32 w = 0; w < ow && w < iw; w++) {
U32 c_a = c / cx;
U32 c_b = c % cx;
U32 srcIndex = (((n * ic_a + c_a) * ih + h) * iw + w) * cx + c_b;
U32 dstIndex = ((n * oc + c) * oh + h) * ow + w;
// support channel cut
output[dstIndex] = input[srcIndex];
}
}
}
}
break;
}
case DF_NCHWC16: {
U32 ic16 = ic / 16;
for (U32 n = 0; n < in; ++n) {
U32 c = 0;
for (; c < ic16; ++c) {
for (U32 h = 0; h < ih; ++h) {
for (U32 w = 0; w < iw; ++w) {
for (U32 cc = 0; cc < 16; ++cc) {
output[n * ic * ih * iw + (c * 16 + cc) * ih * iw + h * iw + w] =
input[n * ic * ih * iw + c * 16 * ih * iw + (h * iw + w) * 16 + cc];
}
}
}
}
c *= 16;
while (c < ic) {
U32 cx = ic - c;
cx = (cx == 12) ? 8 : cx;
for (U32 h = 0; h < ih; ++h) {
for (U32 w = 0; w < iw; ++w) {
for (U32 cc = 0; cc < cx; ++cc) {
output[n * ic * ih * iw + (c + cc) * ih * iw + h * iw + w] =
input[n * ic * ih * iw + c * ih * iw + (h * iw + w) * cx + cc];
}
}
}
c += cx;
}
}
break;
}
case DF_NHWCN8: {
in /= 8;
for (U32 n = 0; n < in; n++) {
for (U32 h = 0; h < oh && h < ih; h++) {
for (U32 w = 0; w < ow && w < iw; w++) {
for (U32 c = 0; c < oc && c < ic; c++) {
for (U32 n8 = 0; n8 < 8; n8++) {
U32 srcIndex = (((n * ih + h) * iw + w) * ic + c) * 8 + n8;
U32 dstIndex = (((n * 8 + n8) * oc + c) * oh + h) * ow + w;
output[dstIndex] = input[srcIndex];
}
}
}
}
}
break;
}
case DF_NHWC: {
for (U32 n = 0; n < on && n < in; n++) {
for (U32 c = 0; c < oc && c < ic; c++) {
for (U32 h = 0; h < oh && h < ih; h++) {
for (U32 w = 0; w < ow && w < iw; w++) {
U32 srcIndex = ((n * ih + h) * iw + w) * ic + c;
U32 dstIndex = ((n * oc + c) * oh + h) * ow + w;
output[dstIndex] = input[srcIndex];
}
}
}
}
break;
}
default: {
UNI_ERROR_LOG("not support transform %s format to NCHW format\n", DataFormatName()[idf]);
}
}
}
inline EE transformToNCHW(
TensorDesc inputDesc, const void *input, TensorDesc outputDesc, void *output)
{
if (nullptr == input || nullptr == output) {
return NULL_POINTER;
}
switch (inputDesc.dt) {
#ifdef _USE_FP32
case DT_F32: {
transformToNCHWKernel<F32>(inputDesc, (F32 *)input, outputDesc, (F32 *)output);
break;
}
#endif
#ifdef _USE_FP16
case DT_F16: {
transformToNCHWKernel<F16>(inputDesc, (F16 *)input, outputDesc, (F16 *)output);
break;
}
#endif
#ifdef _USE_INT8
case DT_I8: {
transformToNCHWKernel<INT8>(inputDesc, (INT8 *)input, outputDesc, (INT8 *)output);
break;
}
case DT_U8_Q: {
transformToNCHWKernel<UINT8>(inputDesc, (UINT8 *)input, outputDesc, (UINT8 *)output);
break;
}
#endif
default: {
return NOT_SUPPORTED;
}
}
return SUCCESS;
}
template <typename T>
inline static void transformToNHWCKernel(
TensorDesc inputDesc, const T *input, TensorDesc outputDesc, T *output)
{
DataType idt, odt;
DataFormat idf, odf;
U32 in, ic, ih, iw, on, oc, oh, ow;
if (tensorIs2d(inputDesc)) {
CHECK_STATUS(tensor2dGet(inputDesc, &idt, &idf, &in, &iw));
ic = 1;
ih = 1;
} else if (tensorIs3d(inputDesc)) {
CHECK_STATUS(tensor3dGet(inputDesc, &idt, &idf, &in, &ih, &iw));
ic = 1;
} else if (tensorIs4d(inputDesc)) {
CHECK_STATUS(tensor4dGet(inputDesc, &idt, &idf, &in, &ic, &ih, &iw));
} else {
UNI_ERROR_LOG("not support transform %d-dim tensor to NHWC format\n", (int)inputDesc.nDims);
return;
}
CHECK_STATUS(tensor4dGet(outputDesc, &odt, &odf, &on, &oc, &oh, &ow));
U32 size = tensorNumElements(outputDesc);
U32 ihiw = ih * iw;
switch (idf) {
case DF_NHWC: {
CHECK_REQUIREMENT(tensorNumElements(inputDesc) == size);
if (input != output) {
memcpy(output, input, tensorNumBytes(inputDesc));
}
break;
}
case DF_NCHW: {
CHECK_REQUIREMENT(tensorNumElements(inputDesc) == size);
for (U32 o = 0, srcIndex = 0; o < in; o++) {
for (U32 cc = 0; cc < ic; cc++) {
for (U32 hw = 0; hw < ihiw; hw++, srcIndex++) {
U32 dstIndex = (o * ihiw + hw) * ic + cc;
output[dstIndex] = input[srcIndex];
}
}
}
break;
}
case DF_NCHWC8: {
CHECK_REQUIREMENT(ic % 8 == 0);
ic /= 8;
for (U32 n = 0, srcIndex = 0; n < in; n++) {
for (U32 c = 0; c < ic; c++) {
for (U32 hw = 0; hw < ihiw; hw++) {
for (U32 c8 = 0; c8 < 8; c8++, srcIndex++) {
U32 dstIndex = ((n * ihiw + hw) * ic + c) * 8 + c8;
output[dstIndex] = input[srcIndex];
}
}
}
}
break;
}
default: {
UNI_ERROR_LOG(
"not support transform %s format tensor to NHWC format\n", DataFormatName()[idf]);
}
}
}
inline EE transformToNHWC(
TensorDesc inputDesc, const void *input, TensorDesc outputDesc, void *output)
{
if (nullptr == input || nullptr == output) {
return NULL_POINTER;
}
switch (inputDesc.dt) {
#ifdef _USE_FP32
case DT_F32: {
transformToNHWCKernel<F32>(inputDesc, (F32 *)input, outputDesc, (F32 *)output);
break;
}
#endif
#ifdef _USE_FP16
case DT_F16: {
transformToNHWCKernel<F16>(inputDesc, (F16 *)input, outputDesc, (F16 *)output);
break;
}
#endif
#ifdef _USE_INT8
case DT_I8: {
transformToNHWCKernel<INT8>(inputDesc, (INT8 *)input, outputDesc, (INT8 *)output);
break;
}
#endif
default: {
return NOT_SUPPORTED;
}
}
return SUCCESS;
}
inline EE transformNCHWC16ToNCHWC8(
TensorDesc inputDesc, const void *input, TensorDesc outputDesc, void *output)
{
if (input == NULL || output == NULL) {
CHECK_STATUS(NULL_POINTER);
}
DataType idt, odt;
DataFormat idf, odf;
U32 in, ic, ih, iw, on, oc, oh, ow;
if (tensorIs2d(inputDesc)) {
if (input != output) {
memcpy(output, input, tensorNumBytes(inputDesc));
}
return SUCCESS;
} else if (tensorIs3d(inputDesc)) {
CHECK_STATUS(tensor3dGet(inputDesc, &idt, &idf, &in, &ic, &ih));
CHECK_STATUS(tensor3dGet(outputDesc, &odt, &odf, &on, &oc, &oh));
iw = ow = 1;
} else {
CHECK_STATUS(tensor4dGet(inputDesc, &idt, &idf, &in, &ic, &ih, &iw));
CHECK_STATUS(tensor4dGet(outputDesc, &odt, &odf, &on, &oc, &oh, &ow));
}
CHECK_REQUIREMENT(in == on && idf == DF_NCHWC16 && odf == DF_NCHWC8 && idt == odt);
int elementSize = bytesOf(idt);
const U8 *inputPtr = (const U8 *)input;
U8 *outputPtr = (U8 *)output;
oc /= 8;
for (U32 n = 0; n < on && n < in; n++) {
for (U32 c = 0; c < oc; c += 2) {
for (U32 h = 0; h < oh && h < ih; h++) {
for (U32 w = 0; w < ow && w < iw; w++) {
for (U32 c8 = 0; c8 < 2 && c8 + c < oc; ++c8) {
U32 srcIndex =
n * ic * ih * iw + c * ih * iw * 8 + (h * iw + w) * 16 + c8 * 8;
U32 dstIndex = n * ic * ih * iw + (c + c8) * ih * iw * 8 + (h * iw + w) * 8;
memcpy(outputPtr + dstIndex * elementSize,
inputPtr + srcIndex * elementSize, elementSize * 8);
}
}
}
}
}
return SUCCESS;
}
inline EE transformNCHWToNCHWC8(
TensorDesc inputDesc, const void *input, TensorDesc outputDesc, void *output)
{
if (input == NULL || output == NULL) {
CHECK_STATUS(NULL_POINTER);
}
DataType idt, odt;
DataFormat idf, odf;
U32 in, ic, ih, iw, on, oc, oh, ow;
if (tensorIs2d(inputDesc)) {
if (input != output) {
memcpy(output, input, tensorNumBytes(inputDesc));
}
return SUCCESS;
} else if (tensorIs3d(inputDesc)) {
CHECK_STATUS(tensor3dGet(inputDesc, &idt, &idf, &in, &ic, &ih));
CHECK_STATUS(tensor3dGet(outputDesc, &odt, &odf, &on, &oc, &oh));
iw = ow = 1;
} else {
CHECK_STATUS(tensor4dGet(inputDesc, &idt, &idf, &in, &ic, &ih, &iw));
CHECK_STATUS(tensor4dGet(outputDesc, &odt, &odf, &on, &oc, &oh, &ow));
}
CHECK_REQUIREMENT(in == on && idf != DF_NCHWC8 && odf == DF_NCHWC8 && idt == odt);
int elementSize = bytesOf(idt);
const U8 *inputPtr = (const U8 *)input;
U8 *outputPtr = (U8 *)output;
oc /= 8;
for (U32 n = 0; n < on && n < in; n++) {
for (U32 c = 0; c < oc; c++) {
for (U32 h = 0; h < oh && h < ih; h++) {
for (U32 w = 0; w < ow && w < iw; w++) {
for (U32 c8 = 0, c_i = c * 8; c8 < 8; c8++, c_i++) {
U32 dstIndex = ((((n * oc + c) * oh + h) * ow + w) * 8 + c8) * elementSize;
// support channel padding
if (c_i < ic) {
U32 srcIndex = (((n * ic + c_i) * ih + h) * iw + w) * elementSize;
memcpy(outputPtr + dstIndex, inputPtr + srcIndex, elementSize);
} else {
memset(outputPtr + dstIndex, 0, elementSize);
}
}
}
}
}
}
return SUCCESS;
}
inline EE transformNHWCToNCHWC8(
TensorDesc inputDesc, const void *input, TensorDesc outputDesc, void *output)
{
if (input == NULL || output == NULL) {
CHECK_STATUS(NULL_POINTER);
}
DataType idt, odt;
DataFormat idf, odf;
U32 in, ic, ih, iw, on, oc, oh, ow;
CHECK_STATUS(tensor4dGet(inputDesc, &idt, &idf, &in, &ic, &ih, &iw));
CHECK_STATUS(tensor4dGet(outputDesc, &odt, &odf, &on, &oc, &oh, &ow));
CHECK_REQUIREMENT(in == on && idf == DF_NHWC && odf == DF_NCHWC8 && idt == odt);
int elementSize = bytesOf(idt);
const U8 *inputPtr = (const U8 *)input;
U8 *outputPtr = (U8 *)output;
oc /= 8;
for (U32 n = 0; n < on && n < in; n++) {
for (U32 c = 0; c < oc; c++) {
for (U32 h = 0; h < oh && h < ih; h++) {
for (U32 w = 0; w < ow && w < iw; w++) {
for (U32 c8 = 0, c_i = c * 8; c8 < 8; c8++, c_i++) {
U32 dstIndex = ((((n * oc + c) * oh + h) * ow + w) * 8 + c8) * elementSize;
// support channel padding
if (c_i < ic) {
U32 srcIndex = (((n * ih + h) * iw + w) * ic + c_i) * elementSize;
memcpy(outputPtr + dstIndex, inputPtr + srcIndex, elementSize);
} else {
memset(outputPtr + dstIndex, 0, elementSize);
}
}
}
}
}
}
return SUCCESS;
}
inline EE transformNCHWC8ToNCHWC8ByGroup(
TensorDesc inputDesc, const void *input, int group, TensorDesc outputDesc, void *output)
{
U32 inputSize = tensorNumElements(inputDesc);
U32 outputSize = tensorNumElements(outputDesc);
if (group <= 1 || inputSize == outputSize) {
if (input != output) {
memcpy(output, input, outputSize);
}
return SUCCESS;
}
U32 channelAlignSize = 8;
DataType idt, odt;
DataFormat idf, odf;
U32 in, ic, ih, iw;
U32 on, oc, oh, ow;
CHECK_STATUS(tensor4dGet(inputDesc, &idt, &idf, &in, &ic, &ih, &iw));
CHECK_STATUS(tensor4dGet(outputDesc, &odt, &odf, &on, &oc, &oh, &ow));
CHECK_REQUIREMENT(idt == odt);
CHECK_REQUIREMENT(idf == DF_NCHWC8 && odf == DF_NCHWC8);
U32 icg = ic / group;
U32 ocg = oc / group;
U32 ict = ic / channelAlignSize;
U32 oct = oc / channelAlignSize;
U32 elementSize = bytesOf(idt);
for (U32 n = 0; n < in; n++) {
for (I32 g = 0, od = 0; g < group; g++) {
for (U32 c = 0; c < ocg; c++, od++) {
U32 id = g * icg + c;
U32 id_a = id / channelAlignSize;
U32 od_a = od / channelAlignSize;
U32 id_b = id % channelAlignSize;
U32 od_b = od % channelAlignSize;
for (U32 h = 0; h < oh; h++) {
for (U32 w = 0; w < ow; w++) {
U32 dstIndex =
((((n * oct + od_a) * oh + h) * ow + w) * channelAlignSize + od_b) *
elementSize;
if (h < ih && w < iw) {
U32 srcIndex =
((((n * ict + id_a) * ih + h) * iw + w) * channelAlignSize + id_b) *
elementSize;
memcpy(
(U8 *)output + dstIndex, (const U8 *)input + srcIndex, elementSize);
} else {
memset((U8 *)output + dstIndex, 0, elementSize);
}
}
}
}
}
}
return SUCCESS;
}
template <typename T>
inline static void transformToNCHWC16Kernel(
TensorDesc inputDesc, const T *input, TensorDesc outputDesc, T *output)
{
DataType idt, odt;
DataFormat idf, odf;
U32 in, ic, ih, iw, on, oc, oh, ow;
if (tensorIs2d(inputDesc)) {
CHECK_STATUS(tensor2dGet(inputDesc, &idt, &idf, &in, &iw));
ic = 1;
ih = 1;
} else if (tensorIs3d(inputDesc)) {
if (inputDesc.df == DF_NHWC) {
CHECK_STATUS(tensor3dGet(inputDesc, &idt, &idf, &in, &ih, &iw));
ic = 1;
} else {
CHECK_STATUS(tensor3dGet(inputDesc, &idt, &idf, &in, &ic, &ih));
iw = 1;
}
} else if (tensorIs4d(inputDesc)) {
CHECK_STATUS(tensor4dGet(inputDesc, &idt, &idf, &in, &ic, &ih, &iw));
} else {
UNI_ERROR_LOG(
"not support transform %d-dim tensor to NCHWC16 format\n", (int)inputDesc.nDims);
return;
}
if (tensorIs3d(outputDesc)) {
CHECK_STATUS(tensor3dGet(outputDesc, &odt, &odf, &on, &oc, &oh));
ow = 1;
} else if (tensorIs4d(outputDesc)) {
CHECK_STATUS(tensor4dGet(outputDesc, &odt, &odf, &on, &oc, &oh, &ow));
} else {
UNI_ERROR_LOG("not support transform to %d-dim NCHWC16 tensor\n", (int)outputDesc.nDims);
return;
}
CHECK_REQUIREMENT(idt == odt);
switch (idf) {
case DF_MTK:
case DF_NCHW: {
U32 ic16 = ic / 16;
for (U32 n = 0; n < in; ++n) {
U32 c = 0;
for (; c < ic16; ++c) {
for (U32 h = 0; h < ih; ++h) {
for (U32 w = 0; w < iw; ++w) {
for (U32 cc = 0; cc < 16; ++cc) {
output[n * ic * ih * iw + c * 16 * ih * iw + (h * iw + w) * 16 + cc] =
input[n * ic * ih * iw + (c * 16 + cc) * ih * iw + h * iw + w];
}
}
}
}
c *= 16;
while (c < ic) {
U32 cx = ic - c;
cx = (cx == 12) ? 8 : cx;
for (U32 h = 0; h < ih; ++h) {
for (U32 w = 0; w < iw; ++w) {
for (U32 cc = 0; cc < cx; ++cc) {
output[n * ic * ih * iw + c * ih * iw + (h * iw + w) * cx + cc] =
input[n * ic * ih * iw + (c + cc) * ih * iw + h * iw + w];
}
}
}
c += cx;
}
}
break;
}
case DF_NCHWC8: {
U32 ic16 = ic / 16;
for (U32 n = 0; n < in; ++n) {
U32 c = 0;
for (; c < ic16; ++c) {
for (U32 h = 0; h < ih; ++h) {
for (U32 w = 0; w < iw; ++w) {
for (U32 cc = 0; cc < 16; cc += 8) {
for (U32 c8 = 0; c8 < 8; ++c8) {
output[n * ic * ih * iw + c * 16 * ih * iw + (h * iw + w) * 16 +
cc + c8] = input[n * ic * ih * iw +
(c * 16 + cc) * ih * iw + (h * iw + w) * 8 + c8];
}
}
}
}
}
c *= 16;
while (c < ic) {
U32 cx = ic - c;
cx = (cx == 12) ? 8 : cx;
for (U32 h = 0; h < ih; ++h) {
for (U32 w = 0; w < iw; ++w) {
for (U32 cc = 0; cc < cx; cc += 8) {
for (U32 c8 = 0; c8 < 8; ++c8) {
output[n * ic * ih * iw + c * ih * iw + (h * iw + w) * 8 + cc + c8] =
input[n * ic * ih * iw + (c + cc) * ih * iw +
(h * iw + w) * 8 + c8];
}
}
}
}
c += cx;
}
}
break;
}
default: {
UNI_ERROR_LOG(
"not support transform %s format to NCHWC16 format\n", DataFormatName()[idf]);
}
}
}
inline EE transformToNCHWC16(
TensorDesc inputDesc, const void *input, TensorDesc outputDesc, void *output)
{
if (nullptr == input || nullptr == output) {
return NULL_POINTER;
}
switch (inputDesc.dt) {
#ifdef _USE_FP32
case DT_F32: {
transformToNCHWC16Kernel<F32>(inputDesc, (F32 *)input, outputDesc, (F32 *)output);
break;
}
#endif
#ifdef _USE_INT8
case DT_U8_Q: {
transformToNCHWC16Kernel<UINT8>(inputDesc, (UINT8 *)input, outputDesc, (UINT8 *)output);
break;
}
#endif
default: {
return NOT_SUPPORTED;
}
}
return SUCCESS;
}
inline EE transformFormat(
TensorDesc inputDesc, const void *input, TensorDesc outputDesc, void *output)
{
EE ret = NOT_SUPPORTED;
if (outputDesc.df == DF_NCHW) {
ret = transformToNCHW(inputDesc, input, outputDesc, output);
} else if (outputDesc.df == DF_NCHWC8) {
if (inputDesc.df == DF_NORMAL) {
memcpy(output, input, tensorNumBytes(inputDesc));
ret = SUCCESS;
} else if (inputDesc.df == DF_NCHW || inputDesc.df == DF_MTK) {
ret = transformNCHWToNCHWC8(inputDesc, input, outputDesc, output);
} else if (inputDesc.df == DF_NHWC) {
ret = transformNHWCToNCHWC8(inputDesc, input, outputDesc, output);
} else if (inputDesc.df == DF_NCHWC8) {
ret = transformNCHWC8ToNCHWC8ByGroup(inputDesc, input, 1, outputDesc, output);
} else if (inputDesc.df == DF_NCHWC16) {
ret = transformNCHWC16ToNCHWC8(inputDesc, input, outputDesc, output);
} else {
UNI_ERROR_LOG("layout transpose can not support transform from %s format "
"to NCHWC8 format.\n",
DataFormatName()[inputDesc.df]);
}
} else if (outputDesc.df == DF_NCHWC16) {
ret = transformToNCHWC16(inputDesc, input, outputDesc, output);
} else {
UNI_ERROR_LOG("layout transpose can not support transform to %s format.\n",
DataFormatName()[outputDesc.df]);
}
return ret;
}
inline EE transposeFilter(
TensorDesc inputDesc, const void *input, TensorDesc outputDesc, void *output)
{
if (input == NULL || output == NULL) {
CHECK_STATUS(NULL_POINTER);
}
DataType idt, odt;
DataFormat idf, odf;
U32 in, ic, ih, iw, on, oc, oh, ow;
CHECK_STATUS(tensor4dGet(inputDesc, &idt, &idf, &in, &ic, &ih, &iw));
CHECK_STATUS(tensor4dGet(outputDesc, &odt, &odf, &on, &oc, &oh, &ow));
CHECK_REQUIREMENT(idf == odf);
const U8 *inputPtr = (const U8 *)input;
U8 *outputPtr = (U8 *)output;
switch (idf) {
case DF_NHWCN8: {
CHECK_REQUIREMENT(in % 8 == 0);
in /= 8;
U32 hwMax = ih * iw - 1;
U32 innerSize = bytesOf(idt) * ic * 8;
for (U32 o = 0; o < in; o++) {
for (U32 hw = 0; hw < ih * iw; hw++) {
U32 srcIndex = o * ih * iw * innerSize + hw * innerSize;
U32 dstIndex = o * ih * iw * innerSize + (hwMax - hw) * innerSize;
memcpy(outputPtr + dstIndex, inputPtr + srcIndex, innerSize);
}
}
break;
}
default: {
CHECK_STATUS(NOT_SUPPORTED);
}
}
return SUCCESS;
}
#endif
|
scan-4.c | int a, b;
void
f1 (int *c, int *d)
{
int i;
#pragma omp for simd reduction (inscan, +: a)
for (i = 0; i < 64; i++)
{
d[i] = a;
#pragma omp scan exclusive (a)
a += c[i];
}
}
|
blake2bp-ref.c | /*
BLAKE2 reference source code package - reference C implementations
Copyright 2012, Samuel Neves <sneves@dei.uc.pt>. You may use this under the
terms of the CC0, the OpenSSL Licence, or the Apache Public License 2.0, at
your option. The terms of these licenses can be found at:
- CC0 1.0 Universal : http://creativecommons.org/publicdomain/zero/1.0
- OpenSSL license : https://www.openssl.org/source/license.html
- Apache 2.0 : http://www.apache.org/licenses/LICENSE-2.0
More information about the BLAKE2 hash function can be found at
https://blake2.net.
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <stdint.h>
#if defined(_OPENMP)
#include <omp.h>
#endif
#include "blake2.h"
#include "blake2-impl.h"
#define PARALLELISM_DEGREE 4
static int blake2bp_init_leaf( blake2b_state *S, size_t outlen, size_t keylen, uint64_t offset )
{
blake2b_param P[1];
P->digest_length = (uint8_t)outlen;
P->key_length = (uint8_t)keylen;
P->fanout = PARALLELISM_DEGREE;
P->depth = 2;
store32( &P->leaf_length, 0 );
store32( &P->node_offset, offset );
store32( &P->xof_length, 0 );
P->node_depth = 0;
P->inner_length = BLAKE2B_OUTBYTES;
memset( P->reserved, 0, sizeof( P->reserved ) );
memset( P->salt, 0, sizeof( P->salt ) );
memset( P->personal, 0, sizeof( P->personal ) );
return blake2b_init_param( S, P );
}
static int blake2bp_init_root( blake2b_state *S, size_t outlen, size_t keylen )
{
blake2b_param P[1];
P->digest_length = (uint8_t)outlen;
P->key_length = (uint8_t)keylen;
P->fanout = PARALLELISM_DEGREE;
P->depth = 2;
store32( &P->leaf_length, 0 );
store32( &P->node_offset, 0 );
store32( &P->xof_length, 0 );
P->node_depth = 1;
P->inner_length = BLAKE2B_OUTBYTES;
memset( P->reserved, 0, sizeof( P->reserved ) );
memset( P->salt, 0, sizeof( P->salt ) );
memset( P->personal, 0, sizeof( P->personal ) );
return blake2b_init_param( S, P );
}
int blake2bp_init( blake2bp_state *S, size_t outlen )
{
size_t i;
if( !outlen || outlen > BLAKE2B_OUTBYTES ) return -1;
memset( S->buf, 0, sizeof( S->buf ) );
S->buflen = 0;
S->outlen = outlen;
if( blake2bp_init_root( S->R, outlen, 0 ) < 0 )
return -1;
for( i = 0; i < PARALLELISM_DEGREE; ++i )
if( blake2bp_init_leaf( S->S[i], outlen, 0, i ) < 0 ) return -1;
S->R->last_node = 1;
S->S[PARALLELISM_DEGREE - 1]->last_node = 1;
return 0;
}
int blake2bp_init_key( blake2bp_state *S, size_t outlen, const void *key, size_t keylen )
{
size_t i;
if( !outlen || outlen > BLAKE2B_OUTBYTES ) return -1;
if( !key || !keylen || keylen > BLAKE2B_KEYBYTES ) return -1;
memset( S->buf, 0, sizeof( S->buf ) );
S->buflen = 0;
S->outlen = outlen;
if( blake2bp_init_root( S->R, outlen, keylen ) < 0 )
return -1;
for( i = 0; i < PARALLELISM_DEGREE; ++i )
if( blake2bp_init_leaf( S->S[i], outlen, keylen, i ) < 0 ) return -1;
S->R->last_node = 1;
S->S[PARALLELISM_DEGREE - 1]->last_node = 1;
{
uint8_t block[BLAKE2B_BLOCKBYTES];
memset( block, 0, BLAKE2B_BLOCKBYTES );
memcpy( block, key, keylen );
for( i = 0; i < PARALLELISM_DEGREE; ++i )
blake2b_update( S->S[i], block, BLAKE2B_BLOCKBYTES );
secure_zero_memory( block, BLAKE2B_BLOCKBYTES ); /* Burn the key from stack */
}
return 0;
}
int blake2bp_update( blake2bp_state *S, const void *pin, size_t inlen )
{
const unsigned char * in = (const unsigned char *)pin;
size_t left = S->buflen;
size_t fill = sizeof( S->buf ) - left;
size_t i;
if( left && inlen >= fill )
{
memcpy( S->buf + left, in, fill );
for( i = 0; i < PARALLELISM_DEGREE; ++i )
blake2b_update( S->S[i], S->buf + i * BLAKE2B_BLOCKBYTES, BLAKE2B_BLOCKBYTES );
in += fill;
inlen -= fill;
left = 0;
}
#if defined(_OPENMP)
#pragma omp parallel shared(S), num_threads(PARALLELISM_DEGREE)
#else
for( i = 0; i < PARALLELISM_DEGREE; ++i )
#endif
{
#if defined(_OPENMP)
size_t i = omp_get_thread_num();
#endif
size_t inlen__ = inlen;
const unsigned char *in__ = ( const unsigned char * )in;
in__ += i * BLAKE2B_BLOCKBYTES;
while( inlen__ >= PARALLELISM_DEGREE * BLAKE2B_BLOCKBYTES )
{
blake2b_update( S->S[i], in__, BLAKE2B_BLOCKBYTES );
in__ += PARALLELISM_DEGREE * BLAKE2B_BLOCKBYTES;
inlen__ -= PARALLELISM_DEGREE * BLAKE2B_BLOCKBYTES;
}
}
in += inlen - inlen % ( PARALLELISM_DEGREE * BLAKE2B_BLOCKBYTES );
inlen %= PARALLELISM_DEGREE * BLAKE2B_BLOCKBYTES;
if( inlen > 0 )
memcpy( S->buf + left, in, inlen );
S->buflen = left + inlen;
return 0;
}
int blake2bp_final( blake2bp_state *S, void *out, size_t outlen )
{
uint8_t hash[PARALLELISM_DEGREE][BLAKE2B_OUTBYTES];
size_t i;
if(out == NULL || outlen < S->outlen) {
return -1;
}
for( i = 0; i < PARALLELISM_DEGREE; ++i )
{
if( S->buflen > i * BLAKE2B_BLOCKBYTES )
{
size_t left = S->buflen - i * BLAKE2B_BLOCKBYTES;
if( left > BLAKE2B_BLOCKBYTES ) left = BLAKE2B_BLOCKBYTES;
blake2b_update( S->S[i], S->buf + i * BLAKE2B_BLOCKBYTES, left );
}
blake2b_final( S->S[i], hash[i], BLAKE2B_OUTBYTES );
}
for( i = 0; i < PARALLELISM_DEGREE; ++i )
blake2b_update( S->R, hash[i], BLAKE2B_OUTBYTES );
return blake2b_final( S->R, out, S->outlen );
}
int blake2bp( void *out, size_t outlen, const void *in, size_t inlen, const void *key, size_t keylen )
{
uint8_t hash[PARALLELISM_DEGREE][BLAKE2B_OUTBYTES];
blake2b_state S[PARALLELISM_DEGREE][1];
blake2b_state FS[1];
size_t i;
/* Verify parameters */
if ( NULL == in && inlen > 0 ) return -1;
if ( NULL == out ) return -1;
if( NULL == key && keylen > 0 ) return -1;
if( !outlen || outlen > BLAKE2B_OUTBYTES ) return -1;
if( keylen > BLAKE2B_KEYBYTES ) return -1;
for( i = 0; i < PARALLELISM_DEGREE; ++i )
if( blake2bp_init_leaf( S[i], outlen, keylen, i ) < 0 ) return -1;
S[PARALLELISM_DEGREE - 1]->last_node = 1; /* mark last node */
if( keylen > 0 )
{
uint8_t block[BLAKE2B_BLOCKBYTES];
memset( block, 0, BLAKE2B_BLOCKBYTES );
memcpy( block, key, keylen );
for( i = 0; i < PARALLELISM_DEGREE; ++i )
blake2b_update( S[i], block, BLAKE2B_BLOCKBYTES );
secure_zero_memory( block, BLAKE2B_BLOCKBYTES ); /* Burn the key from stack */
}
#if defined(_OPENMP)
#pragma omp parallel shared(S,hash), num_threads(PARALLELISM_DEGREE)
#else
for( i = 0; i < PARALLELISM_DEGREE; ++i )
#endif
{
#if defined(_OPENMP)
size_t i = omp_get_thread_num();
#endif
size_t inlen__ = inlen;
const unsigned char *in__ = ( const unsigned char * )in;
in__ += i * BLAKE2B_BLOCKBYTES;
while( inlen__ >= PARALLELISM_DEGREE * BLAKE2B_BLOCKBYTES )
{
blake2b_update( S[i], in__, BLAKE2B_BLOCKBYTES );
in__ += PARALLELISM_DEGREE * BLAKE2B_BLOCKBYTES;
inlen__ -= PARALLELISM_DEGREE * BLAKE2B_BLOCKBYTES;
}
if( inlen__ > i * BLAKE2B_BLOCKBYTES )
{
const size_t left = inlen__ - i * BLAKE2B_BLOCKBYTES;
const size_t len = left <= BLAKE2B_BLOCKBYTES ? left : BLAKE2B_BLOCKBYTES;
blake2b_update( S[i], in__, len );
}
blake2b_final( S[i], hash[i], BLAKE2B_OUTBYTES );
}
if( blake2bp_init_root( FS, outlen, keylen ) < 0 )
return -1;
FS->last_node = 1; /* Mark as last node */
for( i = 0; i < PARALLELISM_DEGREE; ++i )
blake2b_update( FS, hash[i], BLAKE2B_OUTBYTES );
return blake2b_final( FS, out, outlen );;
}
#if defined(BLAKE2BP_SELFTEST)
#include <string.h>
#include "blake2-kat.h"
int main( void )
{
uint8_t key[BLAKE2B_KEYBYTES];
uint8_t buf[BLAKE2_KAT_LENGTH];
size_t i, step;
for( i = 0; i < BLAKE2B_KEYBYTES; ++i )
key[i] = ( uint8_t )i;
for( i = 0; i < BLAKE2_KAT_LENGTH; ++i )
buf[i] = ( uint8_t )i;
/* Test simple API */
for( i = 0; i < BLAKE2_KAT_LENGTH; ++i )
{
uint8_t hash[BLAKE2B_OUTBYTES];
blake2bp( hash, BLAKE2B_OUTBYTES, buf, i, key, BLAKE2B_KEYBYTES );
if( 0 != memcmp( hash, blake2bp_keyed_kat[i], BLAKE2B_OUTBYTES ) )
{
goto fail;
}
}
/* Test streaming API */
for(step = 1; step < BLAKE2B_BLOCKBYTES; ++step) {
for (i = 0; i < BLAKE2_KAT_LENGTH; ++i) {
uint8_t hash[BLAKE2B_OUTBYTES];
blake2bp_state S;
uint8_t * p = buf;
size_t mlen = i;
int err = 0;
if( (err = blake2bp_init_key(&S, BLAKE2B_OUTBYTES, key, BLAKE2B_KEYBYTES)) < 0 ) {
goto fail;
}
while (mlen >= step) {
if ( (err = blake2bp_update(&S, p, step)) < 0 ) {
goto fail;
}
mlen -= step;
p += step;
}
if ( (err = blake2bp_update(&S, p, mlen)) < 0) {
goto fail;
}
if ( (err = blake2bp_final(&S, hash, BLAKE2B_OUTBYTES)) < 0) {
goto fail;
}
if (0 != memcmp(hash, blake2bp_keyed_kat[i], BLAKE2B_OUTBYTES)) {
goto fail;
}
}
}
puts( "ok" );
return 0;
fail:
puts("error");
return -1;
}
#endif
|
GB_binop__isgt_uint64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__isgt_uint64)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__isgt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_03__isgt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__isgt_uint64)
// A*D function (colscale): GB (_AxD__isgt_uint64)
// D*A function (rowscale): GB (_DxB__isgt_uint64)
// C+=B function (dense accum): GB (_Cdense_accumB__isgt_uint64)
// C+=b function (dense accum): GB (_Cdense_accumb__isgt_uint64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__isgt_uint64)
// C=scalar+B GB (_bind1st__isgt_uint64)
// C=scalar+B' GB (_bind1st_tran__isgt_uint64)
// C=A+scalar GB (_bind2nd__isgt_uint64)
// C=A'+scalar GB (_bind2nd_tran__isgt_uint64)
// C type: uint64_t
// A type: uint64_t
// B,b type: uint64_t
// BinaryOp: cij = (aij > bij)
#define GB_ATYPE \
uint64_t
#define GB_BTYPE \
uint64_t
#define GB_CTYPE \
uint64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint64_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
uint64_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = (x > y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ISGT || GxB_NO_UINT64 || GxB_NO_ISGT_UINT64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__isgt_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__isgt_uint64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__isgt_uint64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint64_t
uint64_t bwork = (*((uint64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__isgt_uint64)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t *restrict Cx = (uint64_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__isgt_uint64)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t *restrict Cx = (uint64_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__isgt_uint64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__isgt_uint64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__isgt_uint64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__isgt_uint64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__isgt_uint64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__isgt_uint64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t *Cx = (uint64_t *) Cx_output ;
uint64_t x = (*((uint64_t *) x_input)) ;
uint64_t *Bx = (uint64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint64_t bij = Bx [p] ;
Cx [p] = (x > bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__isgt_uint64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint64_t *Cx = (uint64_t *) Cx_output ;
uint64_t *Ax = (uint64_t *) Ax_input ;
uint64_t y = (*((uint64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint64_t aij = Ax [p] ;
Cx [p] = (aij > y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint64_t aij = Ax [pA] ; \
Cx [pC] = (x > aij) ; \
}
GrB_Info GB (_bind1st_tran__isgt_uint64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t x = (*((const uint64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint64_t aij = Ax [pA] ; \
Cx [pC] = (aij > y) ; \
}
GrB_Info GB (_bind2nd_tran__isgt_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t y = (*((const uint64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
raytracing.c | #include <stdio.h>
#include <stdlib.h>
#include "math-toolkit.h"
#include "primitives.h"
#include "raytracing.h"
#include "idx_stack.h"
#include <omp.h>
#define MAX_REFLECTION_BOUNCES 3
#define MAX_DISTANCE 1000000000000.0
#define MIN_DISTANCE 0.00001
#define SAMPLES 4
#define SQUARE(x) (x * x)
#define MAX(a, b) (a > b ? a : b)
/* @param t t distance
* @return 1 means hit, otherwise 0
*/
static int raySphereIntersection(const point3 ray_e,
const point3 ray_d,
const sphere *sph,
intersection *ip, double *t1)
{
point3 l;
subtract_vector(sph->center, ray_e, l);
double s = dot_product(l, ray_d);
double l2 = dot_product(l, l);
double r2 = sph->radius * sph->radius;
if (s < 0 && l2 > r2)
return 0;
float m2 = l2 - s * s;
if (m2 > r2)
return 0;
float q = sqrt(r2 - m2);
*t1 = (l2 > r2) ? (s - q) : (s + q);
/* p = e + t1 * d */
multiply_vector(ray_d, *t1, ip->point);
add_vector(ray_e, ip->point, ip->point);
subtract_vector(ip->point, sph->center, ip->normal);
normalize(ip->normal);
if (dot_product(ip->normal, ray_d) > 0.0)
multiply_vector(ip->normal, -1, ip->normal);
return 1;
}
/* @return 1 means hit, otherwise 0; */
static int rayRectangularIntersection(const point3 ray_e,
const point3 ray_d,
rectangular *rec,
intersection *ip, double *t1)
{
point3 e01, e03, p;
subtract_vector(rec->vertices[1], rec->vertices[0], e01);
subtract_vector(rec->vertices[3], rec->vertices[0], e03);
cross_product(ray_d, e03, p);
double det = dot_product(e01, p);
/* Reject rays orthagonal to the normal vector.
* I.e. rays parallell to the plane.
*/
if (det < 1e-4)
return 0;
double inv_det = 1.0 / det;
point3 s;
subtract_vector(ray_e, rec->vertices[0], s);
double alpha = inv_det * dot_product(s, p);
if ((alpha > 1.0) || (alpha < 0.0))
return 0;
point3 q;
cross_product(s, e01, q);
double beta = inv_det * dot_product(ray_d, q);
if ((beta > 1.0) || (beta < 0.0))
return 0;
*t1 = inv_det * dot_product(e03, q);
if (alpha + beta > 1.0f) {
/* for the second triangle */
point3 e23, e21;
subtract_vector(rec->vertices[3], rec->vertices[2], e23);
subtract_vector(rec->vertices[1], rec->vertices[2], e21);
cross_product(ray_d, e21, p);
det = dot_product(e23, p);
if (det < 1e-4)
return 0;
inv_det = 1.0 / det;
subtract_vector(ray_e, rec->vertices[2], s);
alpha = inv_det * dot_product(s, p);
if (alpha < 0.0)
return 0;
cross_product(s, e23, q);
beta = inv_det * dot_product(ray_d, q);
if ((beta < 0.0) || (beta + alpha > 1.0))
return 0;
*t1 = inv_det * dot_product(e21, q);
}
if (*t1 < 1e-4)
return 0;
COPY_POINT3(ip->normal, rec->normal);
if (dot_product(ip->normal, ray_d)>0.0)
multiply_vector(ip->normal, -1, ip->normal);
multiply_vector(ray_d, *t1, ip->point);
add_vector(ray_e, ip->point, ip->point);
return 1;
}
static void localColor(color local_color,
const color light_color, double diffuse,
double specular, const object_fill *fill)
{
color ambi = { 0.1, 0.1, 0.1 };
color diff, spec, lightCo, surface;
/* Local Color = ambient * surface +
* light * ( kd * surface * diffuse + ks * specular)
*/
COPY_COLOR(diff, fill->fill_color);
multiply_vector(diff, fill->Kd, diff);
multiply_vector(diff, diffuse, diff);
COPY_COLOR(lightCo, light_color);
multiply_vectors(diff, lightCo, diff);
COPY_COLOR(spec, light_color);
multiply_vector(spec, fill->Ks, spec);
multiply_vector(spec, specular, spec);
COPY_COLOR(surface, fill->fill_color);
multiply_vectors(ambi,surface, ambi);
add_vector(diff, ambi, diff);
add_vector(diff, spec, diff);
add_vector(local_color, diff, local_color);
}
/* @param d direction of the ray into intersection
* @param l direction of intersection to light
* @param n surface normal
*/
static void compute_specular_diffuse(double *diffuse,
double *specular,
const point3 d, const point3 l,
const point3 n, double phong_pow)
{
point3 d_copy, l_copy, middle, r;
/* Calculate vector to eye V */
COPY_POINT3(d_copy, d);
multiply_vector(d_copy, -1, d_copy);
normalize(d_copy);
/* Calculate vector to light L */
COPY_POINT3(l_copy, l);
multiply_vector(l_copy, -1, l_copy);
normalize(l_copy);
/* Calculate reflection direction R */
double tmp = dot_product(n, l_copy);
multiply_vector(n, tmp, middle);
multiply_vector(middle, 2, middle);
subtract_vector(middle, l_copy, r);
normalize(r);
/* diffuse = max(0, dot_product(n, -l)) */
*diffuse = MAX(0, dot_product(n, l_copy));
/* specular = (dot_product(r, -d))^p */
*specular = pow(MAX(0, dot_product(r, d_copy)), phong_pow);
}
/* @param r direction of reflected ray
* @param d direction of primary ray into intersection
* @param n surface normal at intersection
*/
static void reflection(point3 r, const point3 d, const point3 n)
{
/* r = d - 2(d . n)n */
multiply_vector(n, -2.0 * dot_product(d, n), r);
add_vector(r, d, r);
}
/* reference: https://www.opengl.org/sdk/docs/man/html/refract.xhtml */
static void refraction(point3 t, const point3 I, const point3 N,
double n1, double n2)
{
double eta = n1 / n2;
double dot_NI = dot_product(N,I);
double k = 1.0 - eta * eta * (1.0 - dot_NI * dot_NI);
if (k < 0.0 || n2 <= 0.0)
t[0] = t[1] = t[2] = 0.0;
else {
point3 tmp;
multiply_vector(I, eta, t);
multiply_vector(N, eta * dot_NI + sqrt(k), tmp);
subtract_vector(t, tmp, t);
}
}
/* @param i direction of incoming ray, unit vector
* @param r direction of refraction ray, unit vector
* @param normal unit vector
* @param n1 refraction index
* @param n2 refraction index
*
* reference: http://graphics.stanford.edu/courses/cs148-10-summer/docs/2006--degreve--reflection_refraction.pdf
*/
static double fresnel(const point3 r, const point3 l,
const point3 normal, double n1, double n2)
{
/* TIR */
if (length(l) < 0.99)
return 1.0;
double cos_theta_i = -dot_product(r, normal);
double cos_theta_t = -dot_product(l, normal);
double r_vertical_root = (n1 * cos_theta_i - n2 * cos_theta_t) /
(n1 * cos_theta_i + n2 * cos_theta_t);
double r_parallel_root = (n2 * cos_theta_i - n1 * cos_theta_t) /
(n2 * cos_theta_i + n1 * cos_theta_t);
return (r_vertical_root * r_vertical_root +
r_parallel_root * r_parallel_root) / 2.0;
}
/* @param t distance */
static intersection ray_hit_object(const point3 e, const point3 d,
double t0, double t1,
const rectangular_node rectangulars,
rectangular_node *hit_rectangular,
const sphere_node spheres,
sphere_node *hit_sphere)
{
/* set these to not hit */
*hit_rectangular = NULL;
*hit_sphere = NULL;
point3 biased_e;
multiply_vector(d, t0, biased_e);
add_vector(biased_e, e, biased_e);
double nearest = t1;
intersection result, tmpresult;
for (rectangular_node rec = rectangulars; rec; rec = rec->next) {
if (rayRectangularIntersection(biased_e, d, &(rec->element),
&tmpresult, &t1) && (t1 < nearest)) {
/* hit is closest so far */
*hit_rectangular = rec;
nearest = t1;
result = tmpresult;
}
}
/* check the spheres */
for (sphere_node sphere = spheres; sphere; sphere = sphere->next) {
if (raySphereIntersection(biased_e, d, &(sphere->element),
&tmpresult, &t1) && (t1 < nearest)) {
*hit_sphere = sphere;
*hit_rectangular = NULL;
nearest = t1;
result = tmpresult;
}
}
return result;
}
/* @param d direction of ray
* @param w basic vectors
*/
static void rayConstruction(point3 d, const point3 u, const point3 v,
const point3 w, unsigned int i, unsigned int j,
const viewpoint *view, unsigned int width,
unsigned int height)
{
double xmin = -0.0175;
double ymin = -0.0175;
double xmax = 0.0175;
double ymax = 0.0175;
double focal = 0.05;
point3 u_tmp, v_tmp, w_tmp, s;
double w_s = focal;
double u_s = xmin + ((xmax - xmin) * (float) i / (width - 1));
double v_s = ymax + ((ymin - ymax) * (float) j / (height - 1));
/* s = e + u_s * u + v_s * v + w_s * w */
multiply_vector(u, u_s, u_tmp);
multiply_vector(v, v_s, v_tmp);
multiply_vector(w, w_s, w_tmp);
add_vector(view->vrp, u_tmp, s);
add_vector(s, v_tmp, s);
add_vector(s, w_tmp, s);
/* p(t) = e + td = e + t(s - e) */
subtract_vector(s, view->vrp, d);
normalize(d);
}
static void calculateBasisVectors(point3 u, point3 v, point3 w,
const viewpoint *view)
{
/* w */
COPY_POINT3(w, view->vpn);
normalize(w);
/* u = (t x w) / (|t x w|) */
cross_product(w, view->vup, u);
normalize(u);
/* v = w x u */
cross_product(u, w, v);
normalize(v);
}
/* @brief protect color value overflow */
static void protect_color_overflow(color c)
{
for (int i = 0; i < 3; i++)
if (c[i] > 1.0) c[i] = 1.0;
}
static unsigned int ray_color(const point3 e, double t,
const point3 d,
idx_stack *stk,
const rectangular_node rectangulars,
const sphere_node spheres,
const light_node lights,
color object_color, int bounces_left)
{
rectangular_node hit_rec = NULL, light_hit_rec = NULL;
sphere_node hit_sphere = NULL, light_hit_sphere = NULL;
double diffuse, specular;
point3 l, _l, r, rr;
object_fill fill;
color reflection_part;
color refraction_part;
/* might be a reflection ray, so check how many times we've bounced */
if (bounces_left == 0) {
SET_COLOR(object_color, 0.0, 0.0, 0.0);
return 0;
}
/* check for intersection with a sphere or a rectangular */
intersection ip= ray_hit_object(e, d, t, MAX_DISTANCE, rectangulars,
&hit_rec, spheres, &hit_sphere);
if (!hit_rec && !hit_sphere)
return 0;
/* pick the fill of the object that was hit */
fill = hit_rec ?
hit_rec->element.rectangular_fill :
hit_sphere->element.sphere_fill;
void *hit_obj = hit_rec ? (void *) hit_rec : (void *) hit_sphere;
/* assume it is a shadow */
SET_COLOR(object_color, 0.0, 0.0, 0.0);
for (light_node light = lights; light; light = light->next) {
/* calculate the intersection vector pointing at the light */
subtract_vector(ip.point, light->element.position, l);
multiply_vector(l, -1, _l);
normalize(_l);
/* check for intersection with an object. use ignore_me
* because we don't care about this normal
*/
ray_hit_object(ip.point, _l, MIN_DISTANCE, length(l),
rectangulars, &light_hit_rec,
spheres, &light_hit_sphere);
/* the light was not block by itself(lit object) */
if (light_hit_rec || light_hit_sphere)
continue;
compute_specular_diffuse(&diffuse, &specular, d, l,
ip.normal, fill.phong_power);
localColor(object_color, light->element.light_color,
diffuse, specular, &fill);
}
reflection(r, d, ip.normal);
double idx = idx_stack_top(stk).idx, idx_pass = fill.index_of_refraction;
if (idx_stack_top(stk).obj == hit_obj) {
idx_stack_pop(stk);
idx_pass = idx_stack_top(stk).idx;
} else {
idx_stack_element e = { .obj = hit_obj,
.idx = fill.index_of_refraction
};
idx_stack_push(stk, e);
}
refraction(rr, d, ip.normal, idx, idx_pass);
double R = (fill.T > 0.1) ?
fresnel(d, rr, ip.normal, idx, idx_pass) :
1.0;
/* totalColor = localColor +
mix((1-fill.Kd) * fill.R * reflection, T * refraction, R)
*/
if (fill.R > 0) {
/* if we hit something, add the color */
int old_top = stk->top;
if (ray_color(ip.point, MIN_DISTANCE, r, stk, rectangulars, spheres,
lights, reflection_part,
bounces_left - 1)) {
multiply_vector(reflection_part, R * (1.0 - fill.Kd) * fill.R,
reflection_part);
add_vector(object_color, reflection_part,
object_color);
}
stk->top = old_top;
}
/* calculate refraction ray */
if ((length(rr) > 0.0) && (fill.T > 0.0) &&
(fill.index_of_refraction > 0.0)) {
normalize(rr);
if (ray_color(ip.point, MIN_DISTANCE, rr, stk,rectangulars, spheres,
lights, refraction_part,
bounces_left - 1)) {
multiply_vector(refraction_part, (1 - R) * fill.T,
refraction_part);
add_vector(object_color, refraction_part,
object_color);
}
}
protect_color_overflow(object_color);
return 1;
}
/* @param background_color this is not ambient light */
void raytracing(uint8_t *pixels, color background_color,
rectangular_node rectangulars, sphere_node spheres,
light_node lights, const viewpoint *view,
int width, int height)
{
point3 u, v, w, d;
color object_color = { 0.0, 0.0, 0.0 };
/* calculate u, v, w */
calculateBasisVectors(u, v, w, view);
idx_stack stk;
int factor = sqrt(SAMPLES);
for (int j = 0; j < height; j++) {
#pragma omp parallel for
for (int i = 0; i < width; i++) {
double r = 0, g = 0, b = 0;
/* MSAA */
for (int s = 0; s < SAMPLES; s++) {
idx_stack_init(&stk);
rayConstruction(d, u, v, w,
i * factor + s / factor,
j * factor + s % factor,
view,
width * factor, height * factor);
if (ray_color(view->vrp, 0.0, d, &stk, rectangulars, spheres,
lights, object_color,
MAX_REFLECTION_BOUNCES)) {
r += object_color[0];
g += object_color[1];
b += object_color[2];
} else {
r += background_color[0];
g += background_color[1];
b += background_color[2];
}
pixels[((i + (j * width)) * 3) + 0] = r * 255 / SAMPLES;
pixels[((i + (j * width)) * 3) + 1] = g * 255 / SAMPLES;
pixels[((i + (j * width)) * 3) + 2] = b * 255 / SAMPLES;
}
}
}
}
|
sycl_vtypes.h | #pragma once
#include <cassert>
#include "lattice/constants.h"
#include "dslash/dslash_defaults.h"
#include "lattice/lattice_info.h"
#include "dslash/dslash_complex.h"
#include "dslash/dslash_vectype_sycl.h"
#include "dslash/sycl_view.h"
#include "dslash/dslash_vnode.h"
#include "dslash/sycl_vneighbor_table.h"
namespace MG {
IndexArray block(IndexArray input, IndexArray block_factors){
IndexArray ret_val = input;
for(int mu=0; mu < 4; ++mu ) {
assert( ret_val[mu] % block_factors[mu] == 0);
ret_val[mu]/= block_factors[mu];
}
return ret_val;
}
template<typename T, typename VN, int _num_spins>
class SyCLCBFineVSpinor {
public:
using VecType = SIMDComplexSyCL<typename BaseType<T>::Type, VN::VecLen>;
using DataType = View<VecType,3,DefaultSpinorLayout>;
template<cl::sycl::access::mode accessMode, cl::sycl::access::target accessTarget = cl::sycl::access::target::global_buffer>
using DataAccessor = ViewAccessor<VecType,3,DefaultSpinorLayout,accessMode,accessTarget>;
SyCLCBFineVSpinor(const LatticeInfo& info, IndexType cb)
: _g_info(info), _cb(cb), _info(block(info.GetLatticeOrigin(),{ VN::Dim0, VN::Dim1, VN::Dim2, VN::Dim3 }),
block(info.GetLatticeDimensions(),{ VN::Dim0, VN::Dim1, VN::Dim2, VN::Dim3 }),
info.GetNumSpins(),
info.GetNumColors(),
info.GetNodeInfo()),
_cb_data("cb_data", {_info.GetNumCBSites(),_num_spins,3}) {
if( _g_info.GetNumColors() != 3 ) {
MasterLog(ERROR, "CBFineSpinor has to have 3 colors in info. Info has %d", _g_info.GetNumColors());
}
if( _g_info.GetNumSpins() != _num_spins ) {
MasterLog(ERROR, "CBFineSpinor has to have %d spins in info. Info has %d",
_num_spins,_g_info.GetNumSpins());
}
}
inline
const LatticeInfo& GetInfo() const {
return (_info);
}
inline
const LatticeInfo& GetGlobalInfo() const {
return _g_info;
}
inline
IndexType GetCB() const {
return _cb;
}
DataType GetData() const {
return _cb_data;
}
DataType& GetData() {
return _cb_data;
}
private:
const LatticeInfo& _g_info;
const IndexType _cb;
LatticeInfo _info;
DataType _cb_data;
};
template<typename T, typename VN>
using SyCLVSpinorView = typename SyCLCBFineVSpinor<T,VN,4>::DataType;
template<typename T, typename VN, cl::sycl::access::mode accessMode, cl::sycl::access::target accessTarget = cl::sycl::access::target::global_buffer>
using SyCLVSpinorViewAccessor = typename SyCLCBFineVSpinor<T,VN,4>::template DataAccessor<accessMode,accessTarget>;
template<typename T, typename VN>
using SyCLVHalfSpinorView = typename SyCLCBFineVSpinor<T,VN,2>::DataType;
template<typename T, typename VN, cl::sycl::access::mode accessMode, cl::sycl::access::target accessTarget = cl::sycl::access::target::global_buffer>
using SyCLVHalfSpinorViewAccessor = typename SyCLCBFineVSpinor<T,VN,2>::template DataAccessor<accessMode,accessTarget>;
template<typename T, typename VN>
class SyCLCBFineVGaugeField {
public:
using VecType = SIMDComplexSyCL<typename BaseType<T>::Type, VN::VecLen>;
using DataType = View<VecType,4,DefaultGaugeLayout>;
template<cl::sycl::access::mode accessMode, cl::sycl::access::target accessTarget = cl::sycl::access::target::global_buffer>
using DataAccessor = ViewAccessor<VecType,4,DefaultGaugeLayout,accessMode,accessTarget>;
SyCLCBFineVGaugeField(const LatticeInfo& info, IndexType cb)
: _g_info(info), _cb(cb), _info(block(info.GetLatticeOrigin(),{ VN::Dim0, VN::Dim1, VN::Dim2, VN::Dim3 }),
block(info.GetLatticeDimensions(),{ VN::Dim0, VN::Dim1, VN::Dim2, VN::Dim3 }),
info.GetNumSpins(),
info.GetNumColors(),
info.GetNodeInfo()),
_cb_data("cb_data", {_info.GetNumCBSites(), 4,3,3}) {
if( _g_info.GetNumColors() != 3 ) {
MasterLog(ERROR, "KokkosCBFineSpinor has to have 3 colors in info. Info has %d", _g_info.GetNumColors());
}
}
inline
const LatticeInfo& GetInfo() const {
return (_info);
}
inline
const LatticeInfo& GetGlobalInfo() const {
return _g_info;
}
inline
IndexType GetCB() const {
return _cb;
}
const DataType& GetData() const {
return (*this)._cb_data;
}
DataType& GetData() {
return (*this)._cb_data;
}
private:
const LatticeInfo& _g_info;
LatticeInfo _info;
DataType _cb_data;
const IndexType _cb;
};
template<typename T, typename VN>
class SyCLFineVGaugeField {
private:
const LatticeInfo& _info;
SyCLCBFineVGaugeField<T,VN> _gauge_data_even;
SyCLCBFineVGaugeField<T,VN> _gauge_data_odd;
public:
SyCLFineVGaugeField(const LatticeInfo& info) : _info(info), _gauge_data_even(info,EVEN), _gauge_data_odd(info,ODD) {
}
const SyCLCBFineVGaugeField<T,VN>& operator()(IndexType cb) const
{
return (cb == EVEN) ? _gauge_data_even : _gauge_data_odd;
//return *(_gauge_data[cb]);
}
SyCLCBFineVGaugeField<T,VN>& operator()(IndexType cb) {
return (cb == EVEN) ? _gauge_data_even : _gauge_data_odd;
//return *(_gauge_data[cb]);
}
};
// Double copied gauge field.
template<typename T, typename VN>
class SyCLCBFineVGaugeFieldDoubleCopy {
public:
SyCLCBFineVGaugeFieldDoubleCopy(const LatticeInfo& info, IndexType cb)
: _g_info(info), _cb(cb), _info(block(info.GetLatticeOrigin(),{ VN::Dim0, VN::Dim1, VN::Dim2, VN::Dim3 }),
block(info.GetLatticeDimensions(),{ VN::Dim0, VN::Dim1, VN::Dim2, VN::Dim3 }),
info.GetNumSpins(),
info.GetNumColors(),
info.GetNodeInfo()),
_cb_data("cb_data", {_info.GetNumCBSites(),8,3,3}) {
if( _g_info.GetNumColors() != 3 ) {
MasterLog(ERROR, "KokkosCBFineSpinor has to have 3 colors in info. Info has %d", _g_info.GetNumColors());
}
MasterLog(INFO, "Exiting Constructor");
}
inline
const LatticeInfo& GetInfo() const {
return (_info);
}
inline
const LatticeInfo& GetGlobalInfo() const {
return _g_info;
}
inline
IndexType GetCB() const {
return _cb;
}
// Double Copied Gauge Field.
using VecType = SIMDComplexSyCL<typename BaseType<T>::Type, VN::VecLen>;
using DataType = View<VecType,4,DefaultGaugeLayout>;
template<cl::sycl::access::mode accessMode, cl::sycl::access::target accessTarget = cl::sycl::access::target::global_buffer>
using DataAccessor = ViewAccessor<VecType,4,DefaultGaugeLayout,accessMode,accessTarget>;
const DataType& GetData() const {
return _cb_data;
}
DataType& GetData() {
return _cb_data;
}
void import(const SyCLCBFineVGaugeField<T,VN>& src_cb,
const SyCLCBFineVGaugeField<T,VN>& src_othercb)
{
using InputType = typename SyCLCBFineVGaugeField<T,VN>::DataType;
using FType = typename BaseType<T>::Type;
// Sanity: src_cb has to match my CB
if( GetCB() != src_cb.GetCB() ) {
MasterLog(ERROR, "cb of src_cb does not match my cb in import()");
}
// Sanity 2: othercb has to be the opposite CB from me.
int expected_othercb = (src_cb.GetCB() == EVEN) ? ODD :EVEN;
if( expected_othercb != src_othercb.GetCB() ) {
MasterLog(ERROR, "cb of src_othercb is not opposite of mine in import()");
}
// Grab a site table
IndexArray cb_latdims = _info.GetCBLatticeDimensions();
SiteTable neigh_table_tab(cb_latdims[0],cb_latdims[1],cb_latdims[2], cb_latdims[3]);
SiteTableAccess neigh_table=neigh_table_tab.template get_access<cl::sycl::access::mode::read>();
size_t num_cbsites = _info.GetNumCBSites();
InputType cb_data_in = src_cb.GetData().template get_access<cl::sycl::access::mode::read>();
InputType othercb_data_in = src_othercb.GetData().template get_access<cl::sycl::access::mode::read>();
int target_cb = _cb;
#pragma omp parallel for
for(size_t site = 0; site < num_cbsites; ++site) {
IndexArray site_coords = LayoutLeft::coords(site,cb_latdims);
std::size_t xcb = site_coords[0];
std::size_t y = site_coords[1];
std::size_t z = site_coords[2];
std::size_t t = site_coords[3];
size_t n_idx;
bool do_permute;
// T_minus
neigh_table.NeighborTMinus(xcb,y,z,t,n_idx,do_permute);
if( do_permute ) {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,0,col,col2),VN::permuteT(othercb_data_in(n_idx,3,col,col2)));
}
}
}
else {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,0,col,col2), othercb_data_in(n_idx,3,col,col2));
}
}
}
// Z_minus
neigh_table.NeighborZMinus(xcb,y,z,t,n_idx,do_permute);
if( do_permute ) {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,1,col,col2),VN::permuteZ(othercb_data_in(n_idx,2,col,col2)));
}
}
}
else {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,1,col,col2), othercb_data_in(n_idx,2,col,col2));
}
}
}
// Y_minus
neigh_table.NeighborYMinus(xcb,y,z,t,n_idx,do_permute);
if( do_permute ) {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,2,col,col2),VN::permuteY(othercb_data_in(n_idx,1,col,col2)));
}
}
}
else {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,2,col,col2),othercb_data_in(n_idx,1,col,col2));
}
}
}
// X_minus
neigh_table.NeighborXMinus(xcb,y,z,t,target_cb,n_idx,do_permute);
if( do_permute ) {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,3,col,col2),VN::permuteX(othercb_data_in(n_idx,0,col,col2)));
}
}
}
else {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,3,col,col2),othercb_data_in(n_idx,0,col,col2));
}
}
}
// X-plus
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,4,col,col2),cb_data_in(site,0,col,col2));
}
}
// Y_Plus
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,5,col,col2),cb_data_in(site,1,col,col2));
}
}
// Z_Plus
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,6,col,col2),cb_data_in(site,2,col,col2));
}
}
// T_Plus
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(_cb_data(site,7,col,col2),cb_data_in(site,3,col,col2));
}
}
}
}
private:
const LatticeInfo& _g_info;
LatticeInfo _info;
DataType _cb_data;
const IndexType _cb;
};
template<typename T, typename VN>
void import(SyCLCBFineVGaugeFieldDoubleCopy<T,VN>& target,
SyCLCBFineVGaugeField<T,VN> src_cb,
SyCLCBFineVGaugeField<T,VN> src_othercb)
{
using InputType = typename SyCLCBFineVGaugeField<T,VN>::DataType;
using FType=typename BaseType<T>::Type;
// Sanity: src_cb has to match my CB
if( target.GetCB() != src_cb.GetCB() ) {
MasterLog(ERROR, "cb of src_cb does not match my cb in import()");
}
// Sanity 2: othercb has to be the opposite CB from me.
int expected_othercb = (src_cb.GetCB() == EVEN) ? ODD :EVEN;
if( expected_othercb != src_othercb.GetCB() ) {
MasterLog(ERROR, "cb of src_othercb is not opposite of mine in import()");
}
// Grab a site table
const LatticeInfo& info = target.GetInfo();
IndexArray cb_latdims = info.GetCBLatticeDimensions();
MasterLog(INFO, "Double Storing Gauge: Info has size=(%d,%d,%d,%d)",
cb_latdims[0],cb_latdims[1],cb_latdims[2],cb_latdims[3]);
SiteTable neigh_table_tab(cb_latdims[0],cb_latdims[1],cb_latdims[2],
cb_latdims[3]);
auto neigh_table = neigh_table_tab.template get_access<cl::sycl::access::mode::read>();
auto cb_data_out = target.GetData().template get_access<cl::sycl::access::mode::write>();
auto cb_data_in = src_cb.GetData().template get_access<cl::sycl::access::mode::read>();
auto othercb_data_in= src_othercb.GetData().template get_access<cl::sycl::access::mode::read>();
int target_cb = target.GetCB(); // Lambd cannot access member _cb on host
int num_cbsites = info.GetNumCBSites();
#pragma omp parallel for
for(size_t site=0; site < num_cbsites; ++site) {
IndexArray coord_array = LayoutLeft::coords(site,cb_latdims);
const size_t xcb = coord_array[0];
const size_t y=coord_array[1];
const size_t z=coord_array[2];
const size_t t=coord_array[3];
size_t n_idx;
bool do_permute;
// T_minus
neigh_table.NeighborTMinus(xcb,y,z,t,n_idx,do_permute);
if( do_permute ) {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,0,col,col2),VN::permuteT(othercb_data_in(n_idx,3,col,col2)));
}
}
}
else {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,0,col,col2), othercb_data_in(n_idx,3,col,col2));
//cb_data_out(site,0,col,col2) = VN::permute(mask, othercb_data_in(n_idx,3,col,col2));
}
}
}
// Z_minus
neigh_table.NeighborZMinus(xcb,y,z,t,n_idx,do_permute);
if( do_permute ) {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,1,col,col2),VN::permuteZ(othercb_data_in(n_idx,2,col,col2)));
//cb_data_out(site,1,col,col2) = VN::permute(mask, othercb_data_in(n_idx,2,col,col2));
}
}
}
else {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,1,col,col2),othercb_data_in(n_idx,2,col,col2));
//cb_data_out(site,1,col,col2) = VN::permute(mask, othercb_data_in(n_idx,2,col,col2));
}
}
}
// Y_minus
neigh_table.NeighborYMinus(xcb,y,z,t,n_idx,do_permute);
if( do_permute ) {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,2,col,col2),VN::permuteY(othercb_data_in(n_idx,1,col,col2)));
//cb_data_out(site,2,col,col2) = VN::permute(mask, othercb_data_in(n_idx,1,col,col2));
}
}
}
else {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,2,col,col2),othercb_data_in(n_idx,1,col,col2));
//cb_data_out(site,2,col,col2) = VN::permute(mask, othercb_data_in(n_idx,1,col,col2));
}
}
}
// X_minus
neigh_table.NeighborXMinus(xcb,y,z,t,target_cb,n_idx,do_permute);
if( do_permute ) {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,3,col,col2),VN::permuteX(othercb_data_in(n_idx,0,col,col2)));
//cb_data_out(site,3,col,col2) = VN::permute(mask, othercb_data_in(n_idx,0,col,col2));
}
}
}
else {
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,3,col,col2),othercb_data_in(n_idx,0,col,col2));
//cb_data_out(site,3,col,col2) = VN::permute(mask, othercb_data_in(n_idx,0,col,col2));
}
}
}
// X-Plus
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,4,col,col2),cb_data_in(site,0,col,col2));
//cb_data_out(site,4,col,col2)=cb_data_in(site,0,col,col2);
}
}
// Y_Plus
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,5,col,col2),cb_data_in(site,1,col,col2));
//cb_data_out(site,5,col,col2)=cb_data_in(site,1,col,col2);
}
}
// Z_Plus
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,6,col,col2),cb_data_in(site,2,col,col2));
//cb_data_out(site,6,col,col2)=cb_data_in(site,2,col,col2);
}
}
// T_Plus
for(int col=0; col < 3; ++col) {
for(int col2=0; col2 < 3; ++col2) {
ComplexCopy<FType,VN::VecLen>(cb_data_out(site,7,col,col2),cb_data_in(site,3,col,col2));
//cb_data_out(site,7,col,col2)=cb_data_in(site,3,col,col2);
}
}
}// parallel for
}
template<typename T,typename VN>
using SyCLVGaugeView = typename SyCLCBFineVGaugeFieldDoubleCopy<T,VN>::DataType;
template<typename T, typename VN, cl::sycl::access::mode accessMode, cl::sycl::access::target accessTarget = cl::sycl::access::target::global_buffer>
using SyCLVGaugeViewAccessor = typename SyCLCBFineVGaugeFieldDoubleCopy<T,VN>::template DataAccessor<accessMode,accessTarget>;
// Site views, these are for use inside kernels and should registerize data
template<typename T,const int S, const int C>
struct SiteView {
T _data[S][C];
T& operator()(int color, int spin) {
return _data[spin][color];
}
const T& operator()(int color, int spin) const {
return _data[spin][color];
}
};
template<typename T>
using SpinorSiteView = SiteView<T ,4,3>;
template<typename T>
using HalfSpinorSiteView = SiteView< T,2,3>;
template<typename T>
using GaugeSiteView = SiteView< T ,3,3>;
}
|
GB_unop__identity_uint32_int64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_uint32_int64)
// op(A') function: GB (_unop_tran__identity_uint32_int64)
// C type: uint32_t
// A type: int64_t
// cast: uint32_t cij = (uint32_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int64_t
#define GB_CTYPE \
uint32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
uint32_t z = (uint32_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
uint32_t z = (uint32_t) aij ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_UINT32 || GxB_NO_INT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_uint32_int64)
(
uint32_t *Cx, // Cx and Ax may be aliased
const int64_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
int64_t aij = Ax [p] ;
uint32_t z = (uint32_t) aij ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
int64_t aij = Ax [p] ;
uint32_t z = (uint32_t) aij ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_uint32_int64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
heat_2d-a.pluto.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Discretized 2D heat equation stencil with non periodic boundary conditions
* Adapted from Pochoir test bench
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/time.h>
#include <math.h>
/*
* N is the number of points
* T is the number of timesteps
*/
#ifdef HAS_DECLS
#include "decls.h"
#else
#define N 16000L
#define T 16000L
#endif
#define NUM_FP_OPS 10
/* Define our arrays */
double A[2][N][N];
double total=0; double sum_err_sqr=0;
int chtotal=0;
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y) {
if (x->tv_usec < y->tv_usec) {
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000) {
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
return x->tv_sec < y->tv_sec;
}
int main(int argc, char * argv[]) {
long int t, i, j, k;
const int BASE = 1024;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0;
printf("Number of points = %ld\t|Number of timesteps = %ld\t", N*N, T);
/* Initialization */
srand(42); // seed with a constant value to verify results
for (i = 0; i < N; i++) {
for (j = 0; j < N; j++) {
A[0][i][j] = 1.0 * (rand() % BASE);
}
}
#ifdef TIME
gettimeofday(&start, 0);
#endif
// #undef N
// #define N 8000L
#undef T
#define T 8000
/* Copyright (C) 1991-2012 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* We do support the IEC 559 math functionality, real and complex. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((N >= 1) && (T >= 1)) {
for (t1=-1;t1<=floord(T-1,2);t1++) {
lbp=ceild(t1,2);
ubp=min(floord(2*T+N-2,8),floord(4*t1+N+2,8));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(0,ceild(t1-255,256));t3<=min(floord(2*T+N-2,1024),floord(4*t1+N+6,1024));t3++) {
if ((t1 <= floord(1024*t3-N,4)) && (t2 <= 128*t3-1) && (t3 >= ceild(N,1024))) {
if (N%2 == 0) {
for (t5=max(max(8*t2,1024*t3-N+1),-8*t1+8*t2+2048*t3-2*N-5);t5<=min(8*t2+7,-8*t1+8*t2+2048*t3-2*N+2);t5++) {
A[0][(-1024*t3+t5+N-1)][(N-1)] = 0.125*(((-1024*t3+t5+N-1)-1) < 0 ? 0: A[1][(-1024*t3+t5+N-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-1024*t3+t5+N-1)][(N-1) + 1]) + 0.125*(((-1024*t3+t5+N-1)+1) >= N ? 0 : A[1][(-1024*t3+t5+N-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-1024*t3+t5+N-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-1024*t3+t5+N-1)][(N-1)];;
}
}
}
if ((t1 <= floord(8*t2-N,4)) && (t2 >= ceild(N,8))) {
if (N%2 == 0) {
for (t6=max(1024*t3,8*t2-N+1);t6<=min(8*t2,1024*t3+1023);t6++) {
A[0][(N-1)][(-8*t2+t6+N-1)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-8*t2+t6+N-1)]) + 0.125*(((-8*t2+t6+N-1)+1) >= N ? 0 : A[1][(N-1)][(-8*t2+t6+N-1) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-8*t2+t6+N-1)]) + 0.125*(((-8*t2+t6+N-1)-1) < 0 ? 0 : A[1][(N-1)][(-8*t2+t6+N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-8*t2+t6+N-1)];;
}
}
}
if ((N >= 2) && (t1 == 2*t2) && (t1 <= floord(1024*t3-N+1023,4)) && (t1 >= ceild(1024*t3-N+1,4))) {
for (t6=max(4*t1,1024*t3);t6<=4*t1+N-1;t6++) {
if (t1%2 == 0) {
A[1][0][(-4*t1+t6)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-4*t1+t6)]) + 0.125*(((-4*t1+t6)+1) >= N ? 0 : A[0][0][(-4*t1+t6) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-4*t1+t6)]) + 0.125*(((-4*t1+t6)-1) < 0 ? 0 : A[0][0][(-4*t1+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-4*t1+t6)];;
}
}
for (t5=4*t1+1;t5<=4*t1+2;t5++) {
for (t6=max(1024*t3,4*t1+1);t6<=4*t1+N;t6++) {
if (t1%2 == 0) {
A[0][(-4*t1+t5-1)][(-4*t1+t6-1)] = 0.125*(((-4*t1+t5-1)-1) < 0 ? 0: A[1][(-4*t1+t5-1) - 1][(-4*t1+t6-1)]) + 0.125*(((-4*t1+t6-1)+1) >= N ? 0 : A[1][(-4*t1+t5-1)][(-4*t1+t6-1) + 1]) + 0.125*(((-4*t1+t5-1)+1) >= N ? 0 : A[1][(-4*t1+t5-1) + 1][(-4*t1+t6-1)]) + 0.125*(((-4*t1+t6-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-1)][(-4*t1+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-1)][(-4*t1+t6-1)];;
}
}
}
}
if ((t1 == 2*t2) && (t1 >= ceild(1024*t3-N+1024,4))) {
for (t6=max(4*t1,1024*t3);t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[1][0][(-4*t1+t6)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-4*t1+t6)]) + 0.125*(((-4*t1+t6)+1) >= N ? 0 : A[0][0][(-4*t1+t6) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-4*t1+t6)]) + 0.125*(((-4*t1+t6)-1) < 0 ? 0 : A[0][0][(-4*t1+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-4*t1+t6)];;
}
}
for (t5=4*t1+1;t5<=4*t1+2;t5++) {
for (t6=max(1024*t3,4*t1+1);t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[0][(-4*t1+t5-1)][(-4*t1+t6-1)] = 0.125*(((-4*t1+t5-1)-1) < 0 ? 0: A[1][(-4*t1+t5-1) - 1][(-4*t1+t6-1)]) + 0.125*(((-4*t1+t6-1)+1) >= N ? 0 : A[1][(-4*t1+t5-1)][(-4*t1+t6-1) + 1]) + 0.125*(((-4*t1+t5-1)+1) >= N ? 0 : A[1][(-4*t1+t5-1) + 1][(-4*t1+t6-1)]) + 0.125*(((-4*t1+t6-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-1)][(-4*t1+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-1)][(-4*t1+t6-1)];;
}
}
}
}
if ((N == 1) && (t1 == 2*t2)) {
if (t1%2 == 0) {
A[1][0][0] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][0][0 + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][0][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][0];;
}
if (t1%2 == 0) {
A[0][0][0] = 0.125*((0 -1) < 0 ? 0: A[1][0 - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[1][0][0 + 1]) + 0.125*((0 +1) >= N ? 0 : A[1][0 + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[1][0][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][0][0];;
}
}
for (t4=max(max(max(0,ceild(1024*t3-N+1,2)),2*t1),4*t1-4*t2+4);t4<=min(min(min(min(floord(1024*t3-N+1023,2),floord(8*t1-8*t2+N-1,2)),T-1),2*t1+1),512*t3-1);t4++) {
for (t5=8*t2;t5<=-8*t1+8*t2+4*t4;t5++) {
for (t6=1024*t3;t6<=2*t4+N-1;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
for (t5=-8*t1+8*t2+4*t4+1;t5<=min(2*t4+N,-8*t1+8*t2+4*t4+2);t5++) {
for (t6=1024*t3;t6<=2*t4+N;t6++) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
if (t1 == 2*t2-1) {
for (t4=max(max(0,ceild(1024*t3-N+1,2)),2*t1);t4<=min(min(min(min(floord(4*t1+N-5,2),floord(1024*t3-N+1023,2)),T-1),2*t1+1),512*t3-1);t4++) {
for (t5=4*t1+4;t5<=-4*t1+4*t4+4;t5++) {
for (t6=1024*t3;t6<=2*t4+N-1;t6++) {
if ((t1+1)%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
}
for (t5=-4*t1+4*t4+5;t5<=min(2*t4+N,-4*t1+4*t4+6);t5++) {
for (t6=1024*t3;t6<=2*t4+N;t6++) {
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
}
}
for (t4=max(max(max(0,ceild(1024*t3-N+1024,2)),2*t1),4*t1-4*t2+4);t4<=min(min(min(floord(8*t1-8*t2+N-1,2),T-1),2*t1+1),512*t3-1);t4++) {
for (t5=8*t2;t5<=-8*t1+8*t2+4*t4;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
for (t5=-8*t1+8*t2+4*t4+1;t5<=min(2*t4+N,-8*t1+8*t2+4*t4+2);t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
if (t1 == 2*t2-1) {
for (t4=max(max(0,ceild(1024*t3-N+1024,2)),2*t1);t4<=min(min(T-1,2*t1+1),512*t3-1);t4++) {
for (t5=4*t1+4;t5<=-4*t1+4*t4+4;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
if ((t1+1)%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
for (t5=-4*t1+4*t4+5;t5<=-4*t1+4*t4+6;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
}
}
if ((N >= 3) && (t1 == 2*t2) && (t1 <= min(floord(T-2,2),floord(1024*t3-N+1021,4))) && (t1 >= 256*t3)) {
for (t6=4*t1+2;t6<=4*t1+N+1;t6++) {
if (t1%2 == 0) {
A[1][0][(-4*t1+t6-2)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][0][(-4*t1+t6-2) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][0][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-4*t1+t6-2)];;
}
}
for (t5=4*t1+3;t5<=4*t1+4;t5++) {
if (t1%2 == 0) {
A[1][(-4*t1+t5-2)][0] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-4*t1+t5-2)][0 + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-4*t1+t5-2)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][0];;
}
for (t6=4*t1+3;t6<=4*t1+N+1;t6++) {
if (t1%2 == 0) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
}
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(N-1)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(N-1) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(N-1)];;
}
}
for (t5=4*t1+5;t5<=min(4*t1+6,4*t1+N+2);t5++) {
for (t6=4*t1+3;t6<=4*t1+N+2;t6++) {
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
}
}
if ((t1 == 2*t2) && (t1 <= min(min(floord(T-2,2),floord(1024*t3-N+1021,4)),256*t3-2)) && (t1 >= ceild(1024*t3-N-1,4))) {
for (t6=1024*t3;t6<=4*t1+N+1;t6++) {
if (t1%2 == 0) {
A[1][0][(-4*t1+t6-2)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][0][(-4*t1+t6-2) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][0][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-4*t1+t6-2)];;
}
}
for (t5=4*t1+3;t5<=4*t1+4;t5++) {
for (t6=1024*t3;t6<=4*t1+N+1;t6++) {
if (t1%2 == 0) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
}
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(N-1)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(N-1) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(N-1)];;
}
}
for (t5=4*t1+5;t5<=4*t1+6;t5++) {
for (t6=1024*t3;t6<=4*t1+N+2;t6++) {
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
}
}
if (t1 == 2*t2) {
for (t4=max(ceild(1024*t3-N+1,2),2*t1+2);t4<=min(min(min(floord(1024*t3-N+1023,2),T-1),2*t1+3),512*t3-1);t4++) {
for (t6=1024*t3;t6<=2*t4+N-1;t6++) {
if (t1%2 == 0) {
A[1][0][(-2*t4+t6)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][0][(-2*t4+t6) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][0][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-2*t4+t6)];;
}
}
for (t5=2*t4+1;t5<=4*t1+7;t5++) {
for (t6=1024*t3;t6<=2*t4+N-1;t6++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
}
}
}
if ((t1 == 2*t2) && (t1 <= floord(T-2,2)) && (t1 >= max(ceild(1024*t3-N+1022,4),256*t3))) {
for (t6=4*t1+2;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[1][0][(-4*t1+t6-2)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][0][(-4*t1+t6-2) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][0][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-4*t1+t6-2)];;
}
}
for (t5=4*t1+3;t5<=4*t1+4;t5++) {
if (t1%2 == 0) {
A[1][(-4*t1+t5-2)][0] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-4*t1+t5-2)][0 + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-4*t1+t5-2)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][0];;
}
for (t6=4*t1+3;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
}
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
}
for (t5=4*t1+5;t5<=4*t1+6;t5++) {
for (t6=4*t1+3;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
}
}
if ((t1 == 2*t2) && (t1 <= min(floord(T-2,2),256*t3-2)) && (t1 >= ceild(1024*t3-N+1022,4))) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[1][0][(-4*t1+t6-2)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][0][(-4*t1+t6-2) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][0][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-4*t1+t6-2)];;
}
}
for (t5=4*t1+3;t5<=4*t1+4;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
}
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
}
for (t5=4*t1+5;t5<=4*t1+6;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
}
}
if (t1 == 2*t2) {
for (t4=max(ceild(1024*t3-N+1024,2),2*t1+2);t4<=min(min(T-1,2*t1+3),512*t3-1);t4++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[1][0][(-2*t4+t6)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][0][(-2*t4+t6) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][0][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-2*t4+t6)];;
}
}
for (t5=2*t4+1;t5<=4*t1+7;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
}
}
if ((N == 1) && (t1 == 2*t2)) {
for (t4=2*t1+1;t4<=min(T-1,2*t1+3);t4++) {
if (t1%2 == 0) {
A[1][0][0] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][0][0 + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][0][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][0];;
}
if (t1%2 == 0) {
A[0][0][0] = 0.125*((0 -1) < 0 ? 0: A[1][0 - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[1][0][0 + 1]) + 0.125*((0 +1) >= N ? 0 : A[1][0 + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[1][0][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][0][0];;
}
}
}
for (t4=max(max(2*t1,512*t3),4*t1-4*t2+4);t4<=min(min(min(floord(1024*t3-N+1023,2),floord(8*t1-8*t2+N-1,2)),T-1),2*t1+1);t4++) {
for (t5=8*t2;t5<=-8*t1+8*t2+4*t4;t5++) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
for (t6=2*t4+1;t6<=2*t4+N-1;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
for (t5=-8*t1+8*t2+4*t4+1;t5<=min(2*t4+N,-8*t1+8*t2+4*t4+2);t5++) {
for (t6=2*t4+1;t6<=2*t4+N;t6++) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
if (t1 == 2*t2-1) {
for (t4=max(2*t1,512*t3);t4<=min(min(min(floord(4*t1+N-5,2),floord(1024*t3-N+1023,2)),T-1),2*t1+1);t4++) {
for (t5=4*t1+4;t5<=-4*t1+4*t4+4;t5++) {
if ((t1+1)%2 == 0) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
}
for (t6=2*t4+1;t6<=2*t4+N-1;t6++) {
if ((t1+1)%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
}
for (t5=-4*t1+4*t4+5;t5<=min(2*t4+N,-4*t1+4*t4+6);t5++) {
for (t6=2*t4+1;t6<=2*t4+N;t6++) {
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
}
}
for (t4=max(max(max(ceild(1024*t3-N+1024,2),2*t1),512*t3),4*t1-4*t2+4);t4<=min(min(floord(8*t1-8*t2+N-1,2),T-1),2*t1+1);t4++) {
for (t5=8*t2;t5<=-8*t1+8*t2+4*t4;t5++) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
for (t6=2*t4+1;t6<=1024*t3+1023;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
for (t5=-8*t1+8*t2+4*t4+1;t5<=min(2*t4+N,-8*t1+8*t2+4*t4+2);t5++) {
for (t6=2*t4+1;t6<=1024*t3+1023;t6++) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
if (t1 == 2*t2-1) {
for (t4=max(max(ceild(1024*t3-N+1024,2),2*t1),512*t3);t4<=min(min(floord(4*t1+N-5,2),T-1),2*t1+1);t4++) {
for (t5=4*t1+4;t5<=-4*t1+4*t4+4;t5++) {
if ((t1+1)%2 == 0) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
}
for (t6=2*t4+1;t6<=1024*t3+1023;t6++) {
if ((t1+1)%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
for (t5=-4*t1+4*t4+5;t5<=min(2*t4+N,-4*t1+4*t4+6);t5++) {
for (t6=2*t4+1;t6<=1024*t3+1023;t6++) {
if ((t1+1)%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
}
}
if ((t1 <= min(min(min(min(floord(T-2,2),floord(8*t2-N+2,4)),floord(1024*t3-N+1021,4)),2*t2-2),256*t3-1)) && (t1 >= max(max(0,ceild(8*t2-N-1,4)),ceild(1024*t3-N-1,4)))) {
for (t5=8*t2;t5<=4*t1+N+1;t5++) {
for (t6=1024*t3;t6<=4*t1+N+1;t6++) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
A[0][(-4*t1+t5-3)][(N-1)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(N-1) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(N-1)];;
}
for (t6=1024*t3;t6<=4*t1+N+2;t6++) {
A[0][(N-1)][(-4*t1+t6-3)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-3) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-3)];;
}
}
if ((N >= 3) && (N <= 6) && (t1 == 2*t2-1) && (t1 == 256*t3-1) && (t1 >= 255) && (t1 <= floord(T-2,2))) {
for (t5=4*t1+4;t5<=4*t1+N+1;t5++) {
for (t6=4*t1+4;t6<=4*t1+N+1;t6++) {
if ((t1+1)%2 == 0) {
if ((t1+1)%256 == 0) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
}
}
if ((t1+1)%2 == 0) {
if ((t1+1)%256 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
}
if ((t1+1)%2 == 0) {
if ((t1+1)%256 == 0) {
A[0][(-4*t1+t5-3)][(N-1)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(N-1) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(N-1)];;
}
}
}
for (t6=4*t1+4;t6<=4*t1+N+2;t6++) {
if ((t1+1)%2 == 0) {
if ((t1+1)%256 == 0) {
A[0][(N-1)][(-4*t1+t6-3)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-3) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-3)];;
}
}
}
}
if ((t1 <= min(min(floord(T-2,2),floord(8*t2-N+2,4)),256*t3-1)) && (t1 >= max(max(0,ceild(8*t2-N-1,4)),ceild(1024*t3-N+1022,4)))) {
for (t5=8*t2;t5<=4*t1+N+1;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[0][(N-1)][(-4*t1+t6-3)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-3) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-3)];;
}
}
if ((t1 <= min(min(min(floord(T-3,2),floord(8*t2-N+3,4)),floord(1024*t3-N+1019,4)),256*t3-2)) && (t1 >= max(ceild(8*t2-N,4),ceild(1024*t3-N-3,4)))) {
for (t5=8*t2+1;t5<=8*t2+2;t5++) {
for (t6=1024*t3;t6<=4*t1+N+3;t6++) {
A[1][(-4*t1+t5-4)][(-4*t1+t6-4)] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)-1) < 0 ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][(-4*t1+t6-4)];;
}
}
for (t5=8*t2+3;t5<=4*t1+N+3;t5++) {
for (t6=1024*t3;t6<=4*t1+N+3;t6++) {
A[1][(-4*t1+t5-4)][(-4*t1+t6-4)] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)-1) < 0 ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][(-4*t1+t6-4)];;
A[0][(-4*t1+t5-5)][(-4*t1+t6-5)] = 0.125*(((-4*t1+t5-5)-1) < 0 ? 0: A[1][(-4*t1+t5-5) - 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5)][(-4*t1+t6-5) + 1]) + 0.125*(((-4*t1+t5-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5) + 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)-1) < 0 ? 0 : A[1][(-4*t1+t5-5)][(-4*t1+t6-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-5)][(-4*t1+t6-5)];;
}
A[0][(-4*t1+t5-5)][(N-1)] = 0.125*(((-4*t1+t5-5)-1) < 0 ? 0: A[1][(-4*t1+t5-5) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-4*t1+t5-5)][(N-1) + 1]) + 0.125*(((-4*t1+t5-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-5)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-5)][(N-1)];;
}
for (t6=1024*t3;t6<=4*t1+N+4;t6++) {
A[0][(N-1)][(-4*t1+t6-5)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-5) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-5)];;
}
}
for (t4=max(max(max(ceild(8*t2-N+8,2),ceild(1024*t3-N+1,2)),2*t1+2),4*t1-4*t2+4);t4<=min(min(min(floord(1024*t3-N+1023,2),T-1),2*t1+3),512*t3-1);t4++) {
for (t5=-8*t1+8*t2+4*t4-7;t5<=-8*t1+8*t2+4*t4-6;t5++) {
for (t6=1024*t3;t6<=2*t4+N-1;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
}
for (t5=-8*t1+8*t2+4*t4-5;t5<=8*t2+7;t5++) {
for (t6=1024*t3;t6<=2*t4+N-1;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
}
if (t1 <= min(min(min(floord(8*t2-N+1,4),floord(4*t2+512*t3-N+509,4)),floord(8*t2+2*T-N-7,8)),floord(8*t2+1024*t3-N-7,8))) {
if ((N+1)%2 == 0) {
for (t5=8*t1-8*t2+2*N+3;t5<=8*t1-8*t2+2*N+4;t5++) {
for (t6=1024*t3;t6<=8*t1-8*t2+2*N+4;t6++) {
A[1][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5)] = 0.125*(((-8*t1+8*t2+t5-N-5)-1) < 0 ? 0: A[0][(-8*t1+8*t2+t5-N-5) - 1][(-8*t1+8*t2+t6-N-5)]) + 0.125*(((-8*t1+8*t2+t6-N-5)+1) >= N ? 0 : A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5) + 1]) + 0.125*(((-8*t1+8*t2+t5-N-5)+1) >= N ? 0 : A[0][(-8*t1+8*t2+t5-N-5) + 1][(-8*t1+8*t2+t6-N-5)]) + 0.125*(((-8*t1+8*t2+t6-N-5)-1) < 0 ? 0 : A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5)];;
}
}
for (t6=1024*t3;t6<=8*t1-8*t2+2*N+5;t6++) {
A[0][(N-1)][(-8*t1+8*t2+t6-N-6)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)+1) >= N ? 0 : A[1][(N-1)][(-8*t1+8*t2+t6-N-6) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)-1) < 0 ? 0 : A[1][(N-1)][(-8*t1+8*t2+t6-N-6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-8*t1+8*t2+t6-N-6)];;
}
}
}
if ((t1 <= min(min(floord(T-3,2),floord(8*t2-N+3,4)),256*t3-2)) && (t1 >= max(ceild(8*t2-N,4),ceild(1024*t3-N+1020,4)))) {
for (t5=8*t2+1;t5<=8*t2+2;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[1][(-4*t1+t5-4)][(-4*t1+t6-4)] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)-1) < 0 ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][(-4*t1+t6-4)];;
}
}
for (t5=8*t2+3;t5<=4*t1+N+3;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[1][(-4*t1+t5-4)][(-4*t1+t6-4)] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)-1) < 0 ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][(-4*t1+t6-4)];;
A[0][(-4*t1+t5-5)][(-4*t1+t6-5)] = 0.125*(((-4*t1+t5-5)-1) < 0 ? 0: A[1][(-4*t1+t5-5) - 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5)][(-4*t1+t6-5) + 1]) + 0.125*(((-4*t1+t5-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5) + 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)-1) < 0 ? 0 : A[1][(-4*t1+t5-5)][(-4*t1+t6-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-5)][(-4*t1+t6-5)];;
}
}
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[0][(N-1)][(-4*t1+t6-5)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-5) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-5)];;
}
}
for (t4=max(max(max(ceild(8*t2-N+8,2),ceild(1024*t3-N+1024,2)),2*t1+2),4*t1-4*t2+4);t4<=min(min(T-1,2*t1+3),512*t3-1);t4++) {
for (t5=-8*t1+8*t2+4*t4-7;t5<=-8*t1+8*t2+4*t4-6;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
}
for (t5=-8*t1+8*t2+4*t4-5;t5<=8*t2+7;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
if ((t1 <= min(min(floord(8*t2-N+1,4),floord(8*t2+2*T-N-7,8)),floord(8*t2+1024*t3-N-7,8))) && (t1 >= ceild(4*t2+512*t3-N+511,4))) {
if ((N+1)%2 == 0) {
for (t5=8*t1-8*t2+2*N+3;t5<=8*t1-8*t2+2*N+4;t5++) {
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[1][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5)] = 0.125*(((-8*t1+8*t2+t5-N-5)-1) < 0 ? 0: A[0][(-8*t1+8*t2+t5-N-5) - 1][(-8*t1+8*t2+t6-N-5)]) + 0.125*(((-8*t1+8*t2+t6-N-5)+1) >= N ? 0 : A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5) + 1]) + 0.125*(((-8*t1+8*t2+t5-N-5)+1) >= N ? 0 : A[0][(-8*t1+8*t2+t5-N-5) + 1][(-8*t1+8*t2+t6-N-5)]) + 0.125*(((-8*t1+8*t2+t6-N-5)-1) < 0 ? 0 : A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5)];;
}
}
for (t6=1024*t3;t6<=1024*t3+1023;t6++) {
A[0][(N-1)][(-8*t1+8*t2+t6-N-6)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)+1) >= N ? 0 : A[1][(N-1)][(-8*t1+8*t2+t6-N-6) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)-1) < 0 ? 0 : A[1][(N-1)][(-8*t1+8*t2+t6-N-6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-8*t1+8*t2+t6-N-6)];;
}
}
}
if ((N >= 2) && (t1 == 2*t2)) {
for (t4=max(ceild(4*t1+N,2),512*t3);t4<=min(floord(4*t1-N+7,2),T-1);t4++) {
for (t6=2*t4;t6<=2*t4+N-1;t6++) {
if (t1%2 == 0) {
A[1][0][(-2*t4+t6)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][0][(-2*t4+t6) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][0][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-2*t4+t6)];;
}
}
for (t5=2*t4+1;t5<=2*t4+N-1;t5++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
}
for (t6=2*t4+1;t6<=2*t4+N-1;t6++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
}
for (t6=2*t4+1;t6<=2*t4+N;t6++) {
if (t1%2 == 0) {
A[0][(N-1)][(-2*t4+t6-1)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(N-1)][(-2*t4+t6-1) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(N-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-2*t4+t6-1)];;
}
}
}
}
if (t1 == 2*t2) {
for (t4=max(512*t3,2*t1+2);t4<=min(min(min(floord(4*t1+N-1,2),floord(1024*t3-N+1023,2)),T-1),2*t1+3);t4++) {
for (t6=2*t4;t6<=2*t4+N-1;t6++) {
if (t1%2 == 0) {
A[1][0][(-2*t4+t6)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][0][(-2*t4+t6) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][0][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-2*t4+t6)];;
}
}
for (t5=2*t4+1;t5<=4*t1+7;t5++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
}
for (t6=2*t4+1;t6<=2*t4+N-1;t6++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
}
}
}
if ((t1 <= min(min(min(floord(T-2,2),floord(8*t2-N+2,4)),floord(1024*t3-N+1021,4)),2*t2-2)) && (t1 >= max(ceild(8*t2-N-1,4),256*t3))) {
for (t5=8*t2;t5<=4*t1+N+1;t5++) {
A[1][(-4*t1+t5-2)][0] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-4*t1+t5-2)][0 + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-4*t1+t5-2)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][0];;
for (t6=4*t1+3;t6<=4*t1+N+1;t6++) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
A[0][(-4*t1+t5-3)][(N-1)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(N-1) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(N-1)];;
}
for (t6=4*t1+3;t6<=4*t1+N+2;t6++) {
A[0][(N-1)][(-4*t1+t6-3)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-3) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-3)];;
}
}
if ((N >= 3) && (N <= 6) && (t1 == 2*t2-1) && (t1 <= min(floord(T-2,2),floord(1024*t3-N+1021,4))) && (t1 >= 256*t3+1)) {
for (t5=4*t1+4;t5<=4*t1+N+1;t5++) {
if ((t1+1)%2 == 0) {
A[1][(-4*t1+t5-2)][0] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-4*t1+t5-2)][0 + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-4*t1+t5-2)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][0];;
}
for (t6=4*t1+3;t6<=4*t1+N+1;t6++) {
if ((t1+1)%2 == 0) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
}
if ((t1+1)%2 == 0) {
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
if ((t1+1)%2 == 0) {
A[0][(-4*t1+t5-3)][(N-1)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(N-1) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(N-1)];;
}
}
for (t6=4*t1+3;t6<=4*t1+N+2;t6++) {
if ((t1+1)%2 == 0) {
A[0][(N-1)][(-4*t1+t6-3)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-3) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-3)];;
}
}
}
if ((t1 <= min(min(floord(T-2,2),floord(8*t2-N+2,4)),2*t2-2)) && (t1 >= max(max(ceild(8*t2-N-1,4),ceild(1024*t3-N+1022,4)),256*t3))) {
for (t5=8*t2;t5<=4*t1+N+1;t5++) {
A[1][(-4*t1+t5-2)][0] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-4*t1+t5-2)][0 + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-4*t1+t5-2)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][0];;
for (t6=4*t1+3;t6<=1024*t3+1023;t6++) {
A[1][(-4*t1+t5-2)][(-4*t1+t6-2)] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][(-4*t1+t6-2)]) + 0.125*(((-4*t1+t6-2)-1) < 0 ? 0 : A[0][(-4*t1+t5-2)][(-4*t1+t6-2) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][(-4*t1+t6-2)];;
A[0][(-4*t1+t5-3)][(-4*t1+t6-3)] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(-4*t1+t5-3)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][(-4*t1+t6-3)];;
}
}
for (t6=4*t1+3;t6<=1024*t3+1023;t6++) {
A[0][(N-1)][(-4*t1+t6-3)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-3) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-3)]) + 0.125*(((-4*t1+t6-3)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-3) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-3)];;
}
}
if ((N >= 3) && (N <= 6) && (t1 == 2*t2-1) && (t1 == 256*t3+255) && (t1 <= floord(T-2,2))) {
for (t5=4*t1+4;t5<=4*t1+N+1;t5++) {
if ((t1+1)%2 == 0) {
if ((t1+1)%256 == 0) {
A[1][(-4*t1+t5-2)][0] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-4*t1+t5-2)][0 + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-4*t1+t5-2)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][0];;
}
}
if ((t1+1)%2 == 0) {
if ((t1+1)%256 == 0) {
A[1][(-4*t1+t5-2)][1] = 0.125*(((-4*t1+t5-2)-1) < 0 ? 0: A[0][(-4*t1+t5-2) - 1][1]) + 0.125*((1 +1) >= N ? 0 : A[0][(-4*t1+t5-2)][1 + 1]) + 0.125*(((-4*t1+t5-2)+1) >= N ? 0 : A[0][(-4*t1+t5-2) + 1][1]) + 0.125*((1 -1) < 0 ? 0 : A[0][(-4*t1+t5-2)][1 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-2)][1];;
}
}
if ((t1+1)%2 == 0) {
if ((t1+1)%256 == 0) {
A[0][(-4*t1+t5-3)][0] = 0.125*(((-4*t1+t5-3)-1) < 0 ? 0: A[1][(-4*t1+t5-3) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[1][(-4*t1+t5-3)][0 + 1]) + 0.125*(((-4*t1+t5-3)+1) >= N ? 0 : A[1][(-4*t1+t5-3) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[1][(-4*t1+t5-3)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-3)][0];;
}
}
}
if ((t1+1)%2 == 0) {
if ((t1+1)%256 == 0) {
A[0][(N-1)][0] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[1][(N-1)][0 + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[1][(N-1)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][0];;
}
}
}
if ((t1 <= min(min(min(floord(T-3,2),floord(8*t2-N+3,4)),floord(1024*t3-N+1019,4)),2*t2-1)) && (t1 >= max(ceild(8*t2-N,4),256*t3-1))) {
for (t5=8*t2+1;t5<=8*t2+2;t5++) {
for (t6=4*t1+4;t6<=4*t1+N+3;t6++) {
A[1][(-4*t1+t5-4)][(-4*t1+t6-4)] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)-1) < 0 ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][(-4*t1+t6-4)];;
}
}
for (t5=8*t2+3;t5<=4*t1+N+3;t5++) {
A[1][(-4*t1+t5-4)][0] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-4*t1+t5-4)][0 + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-4*t1+t5-4)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][0];;
for (t6=4*t1+5;t6<=4*t1+N+3;t6++) {
A[1][(-4*t1+t5-4)][(-4*t1+t6-4)] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)-1) < 0 ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][(-4*t1+t6-4)];;
A[0][(-4*t1+t5-5)][(-4*t1+t6-5)] = 0.125*(((-4*t1+t5-5)-1) < 0 ? 0: A[1][(-4*t1+t5-5) - 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5)][(-4*t1+t6-5) + 1]) + 0.125*(((-4*t1+t5-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5) + 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)-1) < 0 ? 0 : A[1][(-4*t1+t5-5)][(-4*t1+t6-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-5)][(-4*t1+t6-5)];;
}
A[0][(-4*t1+t5-5)][(N-1)] = 0.125*(((-4*t1+t5-5)-1) < 0 ? 0: A[1][(-4*t1+t5-5) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-4*t1+t5-5)][(N-1) + 1]) + 0.125*(((-4*t1+t5-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-4*t1+t5-5)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-5)][(N-1)];;
}
for (t6=4*t1+5;t6<=4*t1+N+4;t6++) {
A[0][(N-1)][(-4*t1+t6-5)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-5) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-5)];;
}
}
for (t4=max(max(max(ceild(8*t2-N+8,2),512*t3),2*t1+2),4*t1-4*t2+4);t4<=min(min(floord(1024*t3-N+1023,2),T-1),2*t1+3);t4++) {
for (t5=-8*t1+8*t2+4*t4-7;t5<=-8*t1+8*t2+4*t4-6;t5++) {
for (t6=2*t4;t6<=2*t4+N-1;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
}
for (t5=-8*t1+8*t2+4*t4-5;t5<=8*t2+7;t5++) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
for (t6=2*t4+1;t6<=2*t4+N-1;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
}
if ((N >= 3) && (t1 <= min(min(floord(8*t2-N+1,4),floord(4*t2+512*t3-N+509,4)),floord(8*t2+2*T-N-7,8))) && (t1 >= ceild(8*t2+1024*t3-N-5,8))) {
if ((N+1)%2 == 0) {
for (t5=8*t1-8*t2+2*N+3;t5<=8*t1-8*t2+2*N+4;t5++) {
for (t6=8*t1-8*t2+N+5;t6<=8*t1-8*t2+2*N+4;t6++) {
A[1][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5)] = 0.125*(((-8*t1+8*t2+t5-N-5)-1) < 0 ? 0: A[0][(-8*t1+8*t2+t5-N-5) - 1][(-8*t1+8*t2+t6-N-5)]) + 0.125*(((-8*t1+8*t2+t6-N-5)+1) >= N ? 0 : A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5) + 1]) + 0.125*(((-8*t1+8*t2+t5-N-5)+1) >= N ? 0 : A[0][(-8*t1+8*t2+t5-N-5) + 1][(-8*t1+8*t2+t6-N-5)]) + 0.125*(((-8*t1+8*t2+t6-N-5)-1) < 0 ? 0 : A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5)];;
}
}
for (t6=8*t1-8*t2+N+6;t6<=8*t1-8*t2+2*N+5;t6++) {
A[0][(N-1)][(-8*t1+8*t2+t6-N-6)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)+1) >= N ? 0 : A[1][(N-1)][(-8*t1+8*t2+t6-N-6) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)-1) < 0 ? 0 : A[1][(N-1)][(-8*t1+8*t2+t6-N-6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-8*t1+8*t2+t6-N-6)];;
}
}
}
if ((t1 <= min(min(floord(T-3,2),floord(8*t2-N+3,4)),256*t3+254)) && (t1 >= max(max(ceild(8*t2-N,4),ceild(1024*t3-N+1020,4)),256*t3-1))) {
for (t5=8*t2+1;t5<=8*t2+2;t5++) {
for (t6=4*t1+4;t6<=1024*t3+1023;t6++) {
A[1][(-4*t1+t5-4)][(-4*t1+t6-4)] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)-1) < 0 ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][(-4*t1+t6-4)];;
}
}
for (t5=8*t2+3;t5<=4*t1+N+3;t5++) {
A[1][(-4*t1+t5-4)][0] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-4*t1+t5-4)][0 + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-4*t1+t5-4)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][0];;
for (t6=4*t1+5;t6<=1024*t3+1023;t6++) {
A[1][(-4*t1+t5-4)][(-4*t1+t6-4)] = 0.125*(((-4*t1+t5-4)-1) < 0 ? 0: A[0][(-4*t1+t5-4) - 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) + 1]) + 0.125*(((-4*t1+t5-4)+1) >= N ? 0 : A[0][(-4*t1+t5-4) + 1][(-4*t1+t6-4)]) + 0.125*(((-4*t1+t6-4)-1) < 0 ? 0 : A[0][(-4*t1+t5-4)][(-4*t1+t6-4) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-4*t1+t5-4)][(-4*t1+t6-4)];;
A[0][(-4*t1+t5-5)][(-4*t1+t6-5)] = 0.125*(((-4*t1+t5-5)-1) < 0 ? 0: A[1][(-4*t1+t5-5) - 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5)][(-4*t1+t6-5) + 1]) + 0.125*(((-4*t1+t5-5)+1) >= N ? 0 : A[1][(-4*t1+t5-5) + 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)-1) < 0 ? 0 : A[1][(-4*t1+t5-5)][(-4*t1+t6-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-4*t1+t5-5)][(-4*t1+t6-5)];;
}
}
for (t6=4*t1+5;t6<=1024*t3+1023;t6++) {
A[0][(N-1)][(-4*t1+t6-5)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)+1) >= N ? 0 : A[1][(N-1)][(-4*t1+t6-5) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-4*t1+t6-5)]) + 0.125*(((-4*t1+t6-5)-1) < 0 ? 0 : A[1][(N-1)][(-4*t1+t6-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-4*t1+t6-5)];;
}
}
for (t4=max(max(max(max(ceild(8*t2-N+8,2),ceild(1024*t3-N+1024,2)),512*t3),2*t1+2),4*t1-4*t2+4);t4<=min(min(T-1,2*t1+3),512*t3+511);t4++) {
for (t5=-8*t1+8*t2+4*t4-7;t5<=-8*t1+8*t2+4*t4-6;t5++) {
for (t6=2*t4;t6<=1024*t3+1023;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
}
for (t5=-8*t1+8*t2+4*t4-5;t5<=8*t2+7;t5++) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
for (t6=2*t4+1;t6<=1024*t3+1023;t6++) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
if ((t1 <= min(min(floord(8*t2-N+1,4),floord(8*t2+2*T-N-7,8)),floord(8*t2+1024*t3-N+1017,8))) && (t1 >= max(ceild(4*t2+512*t3-N+511,4),ceild(8*t2+1024*t3-N-5,8)))) {
if ((N+1)%2 == 0) {
for (t5=8*t1-8*t2+2*N+3;t5<=8*t1-8*t2+2*N+4;t5++) {
for (t6=8*t1-8*t2+N+5;t6<=1024*t3+1023;t6++) {
A[1][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5)] = 0.125*(((-8*t1+8*t2+t5-N-5)-1) < 0 ? 0: A[0][(-8*t1+8*t2+t5-N-5) - 1][(-8*t1+8*t2+t6-N-5)]) + 0.125*(((-8*t1+8*t2+t6-N-5)+1) >= N ? 0 : A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5) + 1]) + 0.125*(((-8*t1+8*t2+t5-N-5)+1) >= N ? 0 : A[0][(-8*t1+8*t2+t5-N-5) + 1][(-8*t1+8*t2+t6-N-5)]) + 0.125*(((-8*t1+8*t2+t6-N-5)-1) < 0 ? 0 : A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-8*t1+8*t2+t5-N-5)][(-8*t1+8*t2+t6-N-5)];;
}
}
for (t6=8*t1-8*t2+N+6;t6<=1024*t3+1023;t6++) {
A[0][(N-1)][(-8*t1+8*t2+t6-N-6)] = 0.125*(((N-1)-1) < 0 ? 0: A[1][(N-1) - 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)+1) >= N ? 0 : A[1][(N-1)][(-8*t1+8*t2+t6-N-6) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(N-1) + 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)-1) < 0 ? 0 : A[1][(N-1)][(-8*t1+8*t2+t6-N-6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(N-1)][(-8*t1+8*t2+t6-N-6)];;
}
}
}
if (t1 == 2*t2) {
for (t4=max(max(ceild(4*t1+N,2),ceild(4*t1-N+8,2)),512*t3);t4<=min(min(floord(1024*t3-N+1023,2),T-1),2*t1+3);t4++) {
for (t6=2*t4;t6<=2*t4+N-1;t6++) {
if (t1%2 == 0) {
A[1][0][(-2*t4+t6)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][0][(-2*t4+t6) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][0][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-2*t4+t6)];;
}
}
for (t5=2*t4+1;t5<=4*t1+7;t5++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
}
for (t6=2*t4+1;t6<=2*t4+N-1;t6++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(N-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(N-1)]) + 0.125*(((N-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(N-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(N-1)]) + 0.125*(((N-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(N-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(N-1)];;
}
}
}
}
if (t1 == 2*t2) {
for (t4=max(max(ceild(1024*t3-N+1024,2),512*t3),2*t1+2);t4<=min(T-1,2*t1+3);t4++) {
for (t6=2*t4;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[1][0][(-2*t4+t6)] = 0.125*((0 -1) < 0 ? 0: A[0][0 - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][0][(-2*t4+t6) + 1]) + 0.125*((0 +1) >= N ? 0 : A[0][0 + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][0][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][0][(-2*t4+t6)];;
}
}
for (t5=2*t4+1;t5<=4*t1+7;t5++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][0] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][0]) + 0.125*((0 +1) >= N ? 0 : A[0][(-2*t4+t5)][0 + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][0]) + 0.125*((0 -1) < 0 ? 0 : A[0][(-2*t4+t5)][0 - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][0];;
}
for (t6=2*t4+1;t6<=1024*t3+1023;t6++) {
if (t1%2 == 0) {
A[1][(-2*t4+t5)][(-2*t4+t6)] = 0.125*(((-2*t4+t5)-1) < 0 ? 0: A[0][(-2*t4+t5) - 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)+1) >= N ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) + 1]) + 0.125*(((-2*t4+t5)+1) >= N ? 0 : A[0][(-2*t4+t5) + 1][(-2*t4+t6)]) + 0.125*(((-2*t4+t6)-1) < 0 ? 0 : A[0][(-2*t4+t5)][(-2*t4+t6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(-2*t4+t5)][(-2*t4+t6)];;
}
if (t1%2 == 0) {
A[0][(-2*t4+t5-1)][(-2*t4+t6-1)] = 0.125*(((-2*t4+t5-1)-1) < 0 ? 0: A[1][(-2*t4+t5-1) - 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) + 1]) + 0.125*(((-2*t4+t5-1)+1) >= N ? 0 : A[1][(-2*t4+t5-1) + 1][(-2*t4+t6-1)]) + 0.125*(((-2*t4+t6-1)-1) < 0 ? 0 : A[1][(-2*t4+t5-1)][(-2*t4+t6-1) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[1][(-2*t4+t5-1)][(-2*t4+t6-1)];;
}
}
}
}
}
if (t1 <= min(min(floord(8*t2-N,4),floord(8*t2+2*T-N-8,8)),floord(8*t2+1024*t3-N+1016,8))) {
if (N%2 == 0) {
for (t6=max(1024*t3,8*t1-8*t2+N+6);t6<=min(1024*t3+1023,8*t1-8*t2+2*N+5);t6++) {
A[1][(N-1)][(-8*t1+8*t2+t6-N-6)] = 0.125*(((N-1)-1) < 0 ? 0: A[0][(N-1) - 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)+1) >= N ? 0 : A[0][(N-1)][(-8*t1+8*t2+t6-N-6) + 1]) + 0.125*(((N-1)+1) >= N ? 0 : A[0][(N-1) + 1][(-8*t1+8*t2+t6-N-6)]) + 0.125*(((-8*t1+8*t2+t6-N-6)-1) < 0 ? 0 : A[0][(N-1)][(-8*t1+8*t2+t6-N-6) - 1]) + (-2.0*(0.125*2.0) + 1.0)*A[0][(N-1)][(-8*t1+8*t2+t6-N-6)];;
}
}
}
}
}
}
}
/* End of CLooG code */
#undef T
#define T 16000
// #undef N
// #define N 16000L
#ifdef TIME
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double)(result.tv_sec + result.tv_usec * 1.0e-6);
printf("|Time taken = %7.5lfs\n", tdiff );
printf("|MFLOPS = %f\n", ((((double)NUM_FP_OPS * N *N * T) / tdiff) / 1000000L));
#endif
#ifdef VERIFY
for (i = 0; i < N; i++) {
for (j = 0; j < N; j++) {
total+= A[T%2][i][j] ;
}
}
printf("|sum: %e\t", total);
for (i = 0; i < N; i++) {
for (j = 0; j < N; j++) {
sum_err_sqr += (A[T%2][i][j] - (total/N))*(A[T%2][i][j] - (total/N));
}
}
printf("|rms(A) = %7.2f\t", sqrt(sum_err_sqr));
for (i = 0; i < N; i++) {
for (j = 0; j < N; j++) {
chtotal += ((char *)A[T%2][i])[j];
}
}
printf("|sum(rep(A)) = %d\n", chtotal);
#endif
return 0;
}
// icc -O3 -fp-model precise heat_1d_np.c -o op-heat-1d-np -lm
// /* @ begin PrimeTile (num_tiling_levels=1; first_depth=1; last_depth=-1; boundary_tiling_level=-1;) @*/
// /* @ begin PrimeRegTile (scalar_replacement=0; T1t3=8; T1t4=8; ) @*/
// /* @ end @*/
|
task_in_joinbarrier.c | // RUN: %libomp-compile-and-run | %sort-threads | FileCheck %s
// REQUIRES: ompt
#define TEST_NEED_PRINT_FRAME_FROM_OUTLINED_FN
#include "callback.h"
#include <omp.h>
int main()
{
int condition=0;
omp_set_nested(0);
print_frame(0);
#pragma omp parallel num_threads(2)
{
print_frame_from_outlined_fn(1);
print_ids(0);
print_ids(1);
print_frame(0);
#pragma omp master
{
print_ids(0);
#pragma omp task shared(condition)
{
OMPT_SIGNAL(condition);
print_frame(1);
print_ids(0);
print_ids(1);
print_ids(2);
}
OMPT_WAIT(condition,1);
print_ids(0);
}
print_ids(0);
}
// Check if libomp supports the callbacks for this test.
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_task_create'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_task_schedule'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_parallel_begin'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_parallel_end'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_implicit_task'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_mutex_acquire'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_mutex_acquired'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_mutex_released'
// CHECK: {{^}}0: NULL_POINTER=[[NULL:.*$]]
// make sure initial data pointers are null
// CHECK-NOT: 0: new_task_data initially not null
// CHECK: {{^}}[[MASTER_ID:[0-9]+]]: __builtin_frame_address(0)=[[MAIN_REENTER:0x[0-f]+]]
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_parallel_begin: parent_task_id=[[PARENT_TASK_ID:[0-9]+]], parent_task_frame.exit=[[NULL]], parent_task_frame.reenter=[[MAIN_REENTER]], parallel_id=[[PARALLEL_ID:[0-9]+]], requested_team_size=2, codeptr_ra=0x{{[0-f]+}}, invoker=[[PARALLEL_INVOKER:[0-9]+]]
// nested parallel masters
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// CHECK: {{^}}[[MASTER_ID]]: __builtin_frame_address({{.}})=[[EXIT:0x[0-f]+]]
// CHECK: {{^}}[[MASTER_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[EXIT]], reenter_frame=[[NULL]]
// CHECK: {{^}}[[MASTER_ID]]: task level 1: parallel_id=[[IMPLICIT_PARALLEL_ID:[0-9]+]], task_id=[[PARENT_TASK_ID]], exit_frame=[[NULL]], reenter_frame=[[MAIN_REENTER]]
// CHECK: {{^}}[[MASTER_ID]]: __builtin_frame_address(0)=[[REENTER:0x[0-f]+]]
// CHECK: {{^}}[[MASTER_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[EXIT]], reenter_frame=[[NULL]]
// <- ompt_event_task_create would be expected here
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_create: parent_task_id=[[IMPLICIT_TASK_ID]], parent_task_frame.exit=[[EXIT]], parent_task_frame.reenter=[[REENTER]], new_task_id=[[TASK_ID:[0-9]+]], codeptr_ra=[[TASK_FUNCTION:0x[0-f]+]]
// CHECK: {{^}}[[MASTER_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[EXIT]], reenter_frame=[[NULL]]
// implicit barrier parallel
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_barrier_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// CHECK: {{^}}[[MASTER_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[NULL]], reenter_frame=[[NULL]]
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_implicit_task_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// CHECK: {{^}}[[THREAD_ID:[0-9]+]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// CHECK: {{^}}[[THREAD_ID]]: __builtin_frame_address({{.}})=[[EXIT:0x[0-f]+]]
// CHECK: {{^}}[[THREAD_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[EXIT]], reenter_frame=[[NULL]]
// CHECK: {{^}}[[THREAD_ID]]: task level 1: parallel_id=[[IMPLICIT_PARALLEL_ID]], task_id=[[PARENT_TASK_ID]], exit_frame=[[NULL]], reenter_frame=[[MAIN_REENTER]]
// CHECK: {{^}}[[THREAD_ID]]: __builtin_frame_address(0)=[[REENTER:0x[0-f]+]]
// implicit barrier parallel
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_barrier_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// CHECK: {{^}}[[THREAD_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[NULL]], reenter_frame=[[NULL]]
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_task_schedule: first_task_id=[[IMPLICIT_TASK_ID]], second_task_id=[[TASK_ID]]
// CHECK: {{^}}[[THREAD_ID]]: __builtin_frame_address(1)=[[TASK_EXIT:0x[0-f]+]]
// CHECK: {{^}}[[THREAD_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[TASK_ID]], exit_frame=[[TASK_EXIT]], reenter_frame=[[NULL]]
// CHECK: {{^}}[[THREAD_ID]]: task level 1: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[NULL]], reenter_frame=[[NULL]]
// CHECK: {{^}}[[THREAD_ID]]: task level 2: parallel_id=[[IMPLICIT_PARALLEL_ID]], task_id=[[PARENT_TASK_ID]], exit_frame=[[NULL]], reenter_frame=[[MAIN_REENTER]]
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_task_schedule: first_task_id=[[TASK_ID]], second_task_id=[[IMPLICIT_TASK_ID]]
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_task_end: task_id=[[TASK_ID]]
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
return 0;
}
|
segment.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% SSSSS EEEEE GGGG M M EEEEE N N TTTTT %
% SS E G MM MM E NN N T %
% SSS EEE G GGG M M M EEE N N N T %
% SS E G G M M E N NN T %
% SSSSS EEEEE GGGG M M EEEEE N N T %
% %
% %
% MagickCore Methods to Segment an Image with Thresholding Fuzzy c-Means %
% %
% Software Design %
% Cristy %
% April 1993 %
% %
% %
% Copyright 1999-2016 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% http://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Segment segments an image by analyzing the histograms of the color
% components and identifying units that are homogeneous with the fuzzy
% c-means technique. The scale-space filter analyzes the histograms of
% the three color components of the image and identifies a set of
% classes. The extents of each class is used to coarsely segment the
% image with thresholding. The color associated with each class is
% determined by the mean color of all pixels within the extents of a
% particular class. Finally, any unclassified pixels are assigned to
% the closest class with the fuzzy c-means technique.
%
% The fuzzy c-Means algorithm can be summarized as follows:
%
% o Build a histogram, one for each color component of the image.
%
% o For each histogram, successively apply the scale-space filter and
% build an interval tree of zero crossings in the second derivative
% at each scale. Analyze this scale-space ''fingerprint'' to
% determine which peaks and valleys in the histogram are most
% predominant.
%
% o The fingerprint defines intervals on the axis of the histogram.
% Each interval contains either a minima or a maxima in the original
% signal. If each color component lies within the maxima interval,
% that pixel is considered ''classified'' and is assigned an unique
% class number.
%
% o Any pixel that fails to be classified in the above thresholding
% pass is classified using the fuzzy c-Means technique. It is
% assigned to one of the classes discovered in the histogram analysis
% phase.
%
% The fuzzy c-Means technique attempts to cluster a pixel by finding
% the local minima of the generalized within group sum of squared error
% objective function. A pixel is assigned to the closest class of
% which the fuzzy membership has a maximum value.
%
% Segment is strongly based on software written by Andy Gallo,
% University of Delaware.
%
% The following reference was used in creating this program:
%
% Young Won Lim, Sang Uk Lee, "On The Color Image Segmentation
% Algorithm Based on the Thresholding and the Fuzzy c-Means
% Techniques", Pattern Recognition, Volume 23, Number 9, pages
% 935-952, 1990.
%
%
*/
#include "MagickCore/studio.h"
#include "MagickCore/cache.h"
#include "MagickCore/color.h"
#include "MagickCore/colormap.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/memory_.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/quantize.h"
#include "MagickCore/quantum.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/segment.h"
#include "MagickCore/string_.h"
#include "MagickCore/thread-private.h"
/*
Define declarations.
*/
#define MaxDimension 3
#define DeltaTau 0.5f
#if defined(FastClassify)
#define WeightingExponent 2.0
#define SegmentPower(ratio) (ratio)
#else
#define WeightingExponent 2.5
#define SegmentPower(ratio) pow(ratio,(double) (1.0/(weighting_exponent-1.0)));
#endif
#define Tau 5.2f
/*
Typedef declarations.
*/
typedef struct _ExtentPacket
{
double
center;
ssize_t
index,
left,
right;
} ExtentPacket;
typedef struct _Cluster
{
struct _Cluster
*next;
ExtentPacket
red,
green,
blue;
ssize_t
count,
id;
} Cluster;
typedef struct _IntervalTree
{
double
tau;
ssize_t
left,
right;
double
mean_stability,
stability;
struct _IntervalTree
*sibling,
*child;
} IntervalTree;
typedef struct _ZeroCrossing
{
double
tau,
histogram[256];
short
crossings[256];
} ZeroCrossing;
/*
Constant declarations.
*/
static const int
Blue = 2,
Green = 1,
Red = 0,
SafeMargin = 3,
TreeLength = 600;
/*
Method prototypes.
*/
static double
OptimalTau(const ssize_t *,const double,const double,const double,
const double,short *);
static ssize_t
DefineRegion(const short *,ExtentPacket *);
static void
InitializeHistogram(const Image *,ssize_t **,ExceptionInfo *),
ScaleSpace(const ssize_t *,const double,double *),
ZeroCrossHistogram(double *,const double,short *);
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l a s s i f y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Classify() defines one or more classes. Each pixel is thresholded to
% determine which class it belongs to. If the class is not identified it is
% assigned to the closest class based on the fuzzy c-Means technique.
%
% The format of the Classify method is:
%
% MagickBooleanType Classify(Image *image,short **extrema,
% const double cluster_threshold,
% const double weighting_exponent,
% const MagickBooleanType verbose,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o extrema: Specifies a pointer to an array of integers. They
% represent the peaks and valleys of the histogram for each color
% component.
%
% o cluster_threshold: This double represents the minimum number of
% pixels contained in a hexahedra before it can be considered valid
% (expressed as a percentage).
%
% o weighting_exponent: Specifies the membership weighting exponent.
%
% o verbose: A value greater than zero prints detailed information about
% the identified classes.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType Classify(Image *image,short **extrema,
const double cluster_threshold,
const double weighting_exponent,const MagickBooleanType verbose,
ExceptionInfo *exception)
{
#define SegmentImageTag "Segment/Image"
CacheView
*image_view;
Cluster
*cluster,
*head,
*last_cluster,
*next_cluster;
ExtentPacket
blue,
green,
red;
MagickOffsetType
progress;
double
*free_squares;
MagickStatusType
status;
register ssize_t
i;
register double
*squares;
size_t
number_clusters;
ssize_t
count,
y;
/*
Form clusters.
*/
cluster=(Cluster *) NULL;
head=(Cluster *) NULL;
(void) ResetMagickMemory(&red,0,sizeof(red));
(void) ResetMagickMemory(&green,0,sizeof(green));
(void) ResetMagickMemory(&blue,0,sizeof(blue));
while (DefineRegion(extrema[Red],&red) != 0)
{
green.index=0;
while (DefineRegion(extrema[Green],&green) != 0)
{
blue.index=0;
while (DefineRegion(extrema[Blue],&blue) != 0)
{
/*
Allocate a new class.
*/
if (head != (Cluster *) NULL)
{
cluster->next=(Cluster *) AcquireMagickMemory(
sizeof(*cluster->next));
cluster=cluster->next;
}
else
{
cluster=(Cluster *) AcquireMagickMemory(sizeof(*cluster));
head=cluster;
}
if (cluster == (Cluster *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Initialize a new class.
*/
cluster->count=0;
cluster->red=red;
cluster->green=green;
cluster->blue=blue;
cluster->next=(Cluster *) NULL;
}
}
}
if (head == (Cluster *) NULL)
{
/*
No classes were identified-- create one.
*/
cluster=(Cluster *) AcquireMagickMemory(sizeof(*cluster));
if (cluster == (Cluster *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Initialize a new class.
*/
cluster->count=0;
cluster->red=red;
cluster->green=green;
cluster->blue=blue;
cluster->next=(Cluster *) NULL;
head=cluster;
}
/*
Count the pixels for each cluster.
*/
status=MagickTrue;
count=0;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
if (((ssize_t) ScaleQuantumToChar(GetPixelRed(image,p)) >=
(cluster->red.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelRed(image,p)) <=
(cluster->red.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p)) >=
(cluster->green.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p)) <=
(cluster->green.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p)) >=
(cluster->blue.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p)) <=
(cluster->blue.right+SafeMargin)))
{
/*
Count this pixel.
*/
count++;
cluster->red.center+=(double) ScaleQuantumToChar(
GetPixelRed(image,p));
cluster->green.center+=(double) ScaleQuantumToChar(
GetPixelGreen(image,p));
cluster->blue.center+=(double) ScaleQuantumToChar(
GetPixelBlue(image,p));
cluster->count++;
break;
}
p+=GetPixelChannels(image);
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_Classify)
#endif
proceed=SetImageProgress(image,SegmentImageTag,progress++,2*
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
/*
Remove clusters that do not meet minimum cluster threshold.
*/
count=0;
last_cluster=head;
next_cluster=head;
for (cluster=head; cluster != (Cluster *) NULL; cluster=next_cluster)
{
next_cluster=cluster->next;
if ((cluster->count > 0) &&
(cluster->count >= (count*cluster_threshold/100.0)))
{
/*
Initialize cluster.
*/
cluster->id=count;
cluster->red.center/=cluster->count;
cluster->green.center/=cluster->count;
cluster->blue.center/=cluster->count;
count++;
last_cluster=cluster;
continue;
}
/*
Delete cluster.
*/
if (cluster == head)
head=next_cluster;
else
last_cluster->next=next_cluster;
cluster=(Cluster *) RelinquishMagickMemory(cluster);
}
number_clusters=(size_t) count;
if (verbose != MagickFalse)
{
/*
Print cluster statistics.
*/
(void) FormatLocaleFile(stdout,"Fuzzy C-means Statistics\n");
(void) FormatLocaleFile(stdout,"===================\n\n");
(void) FormatLocaleFile(stdout,"\tCluster Threshold = %g\n",(double)
cluster_threshold);
(void) FormatLocaleFile(stdout,"\tWeighting Exponent = %g\n",(double)
weighting_exponent);
(void) FormatLocaleFile(stdout,"\tTotal Number of Clusters = %.20g\n\n",
(double) number_clusters);
/*
Print the total number of points per cluster.
*/
(void) FormatLocaleFile(stdout,"\n\nNumber of Vectors Per Cluster\n");
(void) FormatLocaleFile(stdout,"=============================\n\n");
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
(void) FormatLocaleFile(stdout,"Cluster #%.20g = %.20g\n",(double)
cluster->id,(double) cluster->count);
/*
Print the cluster extents.
*/
(void) FormatLocaleFile(stdout,
"\n\n\nCluster Extents: (Vector Size: %d)\n",MaxDimension);
(void) FormatLocaleFile(stdout,"================");
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
{
(void) FormatLocaleFile(stdout,"\n\nCluster #%.20g\n\n",(double)
cluster->id);
(void) FormatLocaleFile(stdout,
"%.20g-%.20g %.20g-%.20g %.20g-%.20g\n",(double)
cluster->red.left,(double) cluster->red.right,(double)
cluster->green.left,(double) cluster->green.right,(double)
cluster->blue.left,(double) cluster->blue.right);
}
/*
Print the cluster center values.
*/
(void) FormatLocaleFile(stdout,
"\n\n\nCluster Center Values: (Vector Size: %d)\n",MaxDimension);
(void) FormatLocaleFile(stdout,"=====================");
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
{
(void) FormatLocaleFile(stdout,"\n\nCluster #%.20g\n\n",(double)
cluster->id);
(void) FormatLocaleFile(stdout,"%g %g %g\n",(double)
cluster->red.center,(double) cluster->green.center,(double)
cluster->blue.center);
}
(void) FormatLocaleFile(stdout,"\n");
}
if (number_clusters > 256)
ThrowBinaryException(ImageError,"TooManyClusters",image->filename);
/*
Speed up distance calculations.
*/
squares=(double *) AcquireQuantumMemory(513UL,sizeof(*squares));
if (squares == (double *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
squares+=255;
for (i=(-255); i <= 255; i++)
squares[i]=(double) i*(double) i;
/*
Allocate image colormap.
*/
if (AcquireImageColormap(image,number_clusters,exception) == MagickFalse)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
i=0;
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
{
image->colormap[i].red=(double) ScaleCharToQuantum((unsigned char)
(cluster->red.center+0.5));
image->colormap[i].green=(double) ScaleCharToQuantum((unsigned char)
(cluster->green.center+0.5));
image->colormap[i].blue=(double) ScaleCharToQuantum((unsigned char)
(cluster->blue.center+0.5));
i++;
}
/*
Do course grain classes.
*/
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
Cluster
*cluster;
register const PixelInfo
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelIndex(image,0,q);
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
{
if (((ssize_t) ScaleQuantumToChar(GetPixelRed(image,q)) >=
(cluster->red.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelRed(image,q)) <=
(cluster->red.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,q)) >=
(cluster->green.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,q)) <=
(cluster->green.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,q)) >=
(cluster->blue.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,q)) <=
(cluster->blue.right+SafeMargin)))
{
/*
Classify this pixel.
*/
SetPixelIndex(image,(Quantum) cluster->id,q);
break;
}
}
if (cluster == (Cluster *) NULL)
{
double
distance_squared,
local_minima,
numerator,
ratio,
sum;
register ssize_t
j,
k;
/*
Compute fuzzy membership.
*/
local_minima=0.0;
for (j=0; j < (ssize_t) image->colors; j++)
{
sum=0.0;
p=image->colormap+j;
distance_squared=squares[(ssize_t) ScaleQuantumToChar(
GetPixelRed(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->red))]+squares[(ssize_t)
ScaleQuantumToChar(GetPixelGreen(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->green))]+squares[(ssize_t)
ScaleQuantumToChar(GetPixelBlue(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->blue))];
numerator=distance_squared;
for (k=0; k < (ssize_t) image->colors; k++)
{
p=image->colormap+k;
distance_squared=squares[(ssize_t) ScaleQuantumToChar(
GetPixelRed(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->red))]+squares[
(ssize_t) ScaleQuantumToChar(GetPixelGreen(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->green))]+squares[
(ssize_t) ScaleQuantumToChar(GetPixelBlue(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->blue))];
ratio=numerator/distance_squared;
sum+=SegmentPower(ratio);
}
if ((sum != 0.0) && ((1.0/sum) > local_minima))
{
/*
Classify this pixel.
*/
local_minima=1.0/sum;
SetPixelIndex(image,(Quantum) j,q);
}
}
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_Classify)
#endif
proceed=SetImageProgress(image,SegmentImageTag,progress++,
2*image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
status&=SyncImage(image,exception);
/*
Relinquish resources.
*/
for (cluster=head; cluster != (Cluster *) NULL; cluster=next_cluster)
{
next_cluster=cluster->next;
cluster=(Cluster *) RelinquishMagickMemory(cluster);
}
squares-=255;
free_squares=squares;
free_squares=(double *) RelinquishMagickMemory(free_squares);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C o n s o l i d a t e C r o s s i n g s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConsolidateCrossings() guarantees that an even number of zero crossings
% always lie between two crossings.
%
% The format of the ConsolidateCrossings method is:
%
% ConsolidateCrossings(ZeroCrossing *zero_crossing,
% const size_t number_crossings)
%
% A description of each parameter follows.
%
% o zero_crossing: Specifies an array of structures of type ZeroCrossing.
%
% o number_crossings: This size_t specifies the number of elements
% in the zero_crossing array.
%
*/
static void ConsolidateCrossings(ZeroCrossing *zero_crossing,
const size_t number_crossings)
{
register ssize_t
i,
j,
k,
l;
ssize_t
center,
correct,
count,
left,
right;
/*
Consolidate zero crossings.
*/
for (i=(ssize_t) number_crossings-1; i >= 0; i--)
for (j=0; j <= 255; j++)
{
if (zero_crossing[i].crossings[j] == 0)
continue;
/*
Find the entry that is closest to j and still preserves the
property that there are an even number of crossings between
intervals.
*/
for (k=j-1; k > 0; k--)
if (zero_crossing[i+1].crossings[k] != 0)
break;
left=MagickMax(k,0);
center=j;
for (k=j+1; k < 255; k++)
if (zero_crossing[i+1].crossings[k] != 0)
break;
right=MagickMin(k,255);
/*
K is the zero crossing just left of j.
*/
for (k=j-1; k > 0; k--)
if (zero_crossing[i].crossings[k] != 0)
break;
if (k < 0)
k=0;
/*
Check center for an even number of crossings between k and j.
*/
correct=(-1);
if (zero_crossing[i+1].crossings[j] != 0)
{
count=0;
for (l=k+1; l < center; l++)
if (zero_crossing[i+1].crossings[l] != 0)
count++;
if (((count % 2) == 0) && (center != k))
correct=center;
}
/*
Check left for an even number of crossings between k and j.
*/
if (correct == -1)
{
count=0;
for (l=k+1; l < left; l++)
if (zero_crossing[i+1].crossings[l] != 0)
count++;
if (((count % 2) == 0) && (left != k))
correct=left;
}
/*
Check right for an even number of crossings between k and j.
*/
if (correct == -1)
{
count=0;
for (l=k+1; l < right; l++)
if (zero_crossing[i+1].crossings[l] != 0)
count++;
if (((count % 2) == 0) && (right != k))
correct=right;
}
l=(ssize_t) zero_crossing[i].crossings[j];
zero_crossing[i].crossings[j]=0;
if (correct != -1)
zero_crossing[i].crossings[correct]=(short) l;
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e f i n e R e g i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DefineRegion() defines the left and right boundaries of a peak region.
%
% The format of the DefineRegion method is:
%
% ssize_t DefineRegion(const short *extrema,ExtentPacket *extents)
%
% A description of each parameter follows.
%
% o extrema: Specifies a pointer to an array of integers. They
% represent the peaks and valleys of the histogram for each color
% component.
%
% o extents: This pointer to an ExtentPacket represent the extends
% of a particular peak or valley of a color component.
%
*/
static ssize_t DefineRegion(const short *extrema,ExtentPacket *extents)
{
/*
Initialize to default values.
*/
extents->left=0;
extents->center=0.0;
extents->right=255;
/*
Find the left side (maxima).
*/
for ( ; extents->index <= 255; extents->index++)
if (extrema[extents->index] > 0)
break;
if (extents->index > 255)
return(MagickFalse); /* no left side - no region exists */
extents->left=extents->index;
/*
Find the right side (minima).
*/
for ( ; extents->index <= 255; extents->index++)
if (extrema[extents->index] < 0)
break;
extents->right=extents->index-1;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e r i v a t i v e H i s t o g r a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DerivativeHistogram() determines the derivative of the histogram using
% central differencing.
%
% The format of the DerivativeHistogram method is:
%
% DerivativeHistogram(const double *histogram,
% double *derivative)
%
% A description of each parameter follows.
%
% o histogram: Specifies an array of doubles representing the number
% of pixels for each intensity of a particular color component.
%
% o derivative: This array of doubles is initialized by
% DerivativeHistogram to the derivative of the histogram using central
% differencing.
%
*/
static void DerivativeHistogram(const double *histogram,
double *derivative)
{
register ssize_t
i,
n;
/*
Compute endpoints using second order polynomial interpolation.
*/
n=255;
derivative[0]=(-1.5*histogram[0]+2.0*histogram[1]-0.5*histogram[2]);
derivative[n]=(0.5*histogram[n-2]-2.0*histogram[n-1]+1.5*histogram[n]);
/*
Compute derivative using central differencing.
*/
for (i=1; i < n; i++)
derivative[i]=(histogram[i+1]-histogram[i-1])/2.0;
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e D y n a m i c T h r e s h o l d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageDynamicThreshold() returns the dynamic threshold for an image.
%
% The format of the GetImageDynamicThreshold method is:
%
% MagickBooleanType GetImageDynamicThreshold(const Image *image,
% const double cluster_threshold,const double smooth_threshold,
% PixelInfo *pixel,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cluster_threshold: This double represents the minimum number of
% pixels contained in a hexahedra before it can be considered valid
% (expressed as a percentage).
%
% o smooth_threshold: the smoothing threshold eliminates noise in the second
% derivative of the histogram. As the value is increased, you can expect a
% smoother second derivative.
%
% o pixel: return the dynamic threshold here.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageDynamicThreshold(const Image *image,
const double cluster_threshold,const double smooth_threshold,
PixelInfo *pixel,ExceptionInfo *exception)
{
Cluster
*background,
*cluster,
*object,
*head,
*last_cluster,
*next_cluster;
ExtentPacket
blue,
green,
red;
MagickBooleanType
proceed;
double
threshold;
register const Quantum
*p;
register ssize_t
i,
x;
short
*extrema[MaxDimension];
ssize_t
count,
*histogram[MaxDimension],
y;
/*
Allocate histogram and extrema.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
GetPixelInfo(image,pixel);
for (i=0; i < MaxDimension; i++)
{
histogram[i]=(ssize_t *) AcquireQuantumMemory(256UL,sizeof(**histogram));
extrema[i]=(short *) AcquireQuantumMemory(256UL,sizeof(**histogram));
if ((histogram[i] == (ssize_t *) NULL) || (extrema[i] == (short *) NULL))
{
for (i-- ; i >= 0; i--)
{
extrema[i]=(short *) RelinquishMagickMemory(extrema[i]);
histogram[i]=(ssize_t *) RelinquishMagickMemory(histogram[i]);
}
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
}
/*
Initialize histogram.
*/
InitializeHistogram(image,histogram,exception);
(void) OptimalTau(histogram[Red],Tau,0.2f,DeltaTau,
(smooth_threshold == 0.0f ? 1.0f : smooth_threshold),extrema[Red]);
(void) OptimalTau(histogram[Green],Tau,0.2f,DeltaTau,
(smooth_threshold == 0.0f ? 1.0f : smooth_threshold),extrema[Green]);
(void) OptimalTau(histogram[Blue],Tau,0.2f,DeltaTau,
(smooth_threshold == 0.0f ? 1.0f : smooth_threshold),extrema[Blue]);
/*
Form clusters.
*/
cluster=(Cluster *) NULL;
head=(Cluster *) NULL;
(void) ResetMagickMemory(&red,0,sizeof(red));
(void) ResetMagickMemory(&green,0,sizeof(green));
(void) ResetMagickMemory(&blue,0,sizeof(blue));
while (DefineRegion(extrema[Red],&red) != 0)
{
green.index=0;
while (DefineRegion(extrema[Green],&green) != 0)
{
blue.index=0;
while (DefineRegion(extrema[Blue],&blue) != 0)
{
/*
Allocate a new class.
*/
if (head != (Cluster *) NULL)
{
cluster->next=(Cluster *) AcquireMagickMemory(
sizeof(*cluster->next));
cluster=cluster->next;
}
else
{
cluster=(Cluster *) AcquireMagickMemory(sizeof(*cluster));
head=cluster;
}
if (cluster == (Cluster *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
image->filename);
return(MagickFalse);
}
/*
Initialize a new class.
*/
cluster->count=0;
cluster->red=red;
cluster->green=green;
cluster->blue=blue;
cluster->next=(Cluster *) NULL;
}
}
}
if (head == (Cluster *) NULL)
{
/*
No classes were identified-- create one.
*/
cluster=(Cluster *) AcquireMagickMemory(sizeof(*cluster));
if (cluster == (Cluster *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
/*
Initialize a new class.
*/
cluster->count=0;
cluster->red=red;
cluster->green=green;
cluster->blue=blue;
cluster->next=(Cluster *) NULL;
head=cluster;
}
/*
Count the pixels for each cluster.
*/
count=0;
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
if (((ssize_t) ScaleQuantumToChar(GetPixelRed(image,p)) >=
(cluster->red.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelRed(image,p)) <=
(cluster->red.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p)) >=
(cluster->green.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p)) <=
(cluster->green.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p)) >=
(cluster->blue.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p)) <=
(cluster->blue.right+SafeMargin)))
{
/*
Count this pixel.
*/
count++;
cluster->red.center+=(double) ScaleQuantumToChar(
GetPixelRed(image,p));
cluster->green.center+=(double) ScaleQuantumToChar(
GetPixelGreen(image,p));
cluster->blue.center+=(double) ScaleQuantumToChar(
GetPixelBlue(image,p));
cluster->count++;
break;
}
p+=GetPixelChannels(image);
}
proceed=SetImageProgress(image,SegmentImageTag,(MagickOffsetType) y,
2*image->rows);
if (proceed == MagickFalse)
break;
}
/*
Remove clusters that do not meet minimum cluster threshold.
*/
count=0;
last_cluster=head;
next_cluster=head;
for (cluster=head; cluster != (Cluster *) NULL; cluster=next_cluster)
{
next_cluster=cluster->next;
if ((cluster->count > 0) &&
(cluster->count >= (count*cluster_threshold/100.0)))
{
/*
Initialize cluster.
*/
cluster->id=count;
cluster->red.center/=cluster->count;
cluster->green.center/=cluster->count;
cluster->blue.center/=cluster->count;
count++;
last_cluster=cluster;
continue;
}
/*
Delete cluster.
*/
if (cluster == head)
head=next_cluster;
else
last_cluster->next=next_cluster;
cluster=(Cluster *) RelinquishMagickMemory(cluster);
}
object=head;
background=head;
if (count > 1)
{
object=head->next;
for (cluster=object; cluster->next != (Cluster *) NULL; )
{
if (cluster->count < object->count)
object=cluster;
cluster=cluster->next;
}
background=head->next;
for (cluster=background; cluster->next != (Cluster *) NULL; )
{
if (cluster->count > background->count)
background=cluster;
cluster=cluster->next;
}
}
if (background != (Cluster *) NULL)
{
threshold=(background->red.center+object->red.center)/2.0;
pixel->red=(double) ScaleCharToQuantum((unsigned char)
(threshold+0.5));
threshold=(background->green.center+object->green.center)/2.0;
pixel->green=(double) ScaleCharToQuantum((unsigned char)
(threshold+0.5));
threshold=(background->blue.center+object->blue.center)/2.0;
pixel->blue=(double) ScaleCharToQuantum((unsigned char)
(threshold+0.5));
}
/*
Relinquish resources.
*/
for (cluster=head; cluster != (Cluster *) NULL; cluster=next_cluster)
{
next_cluster=cluster->next;
cluster=(Cluster *) RelinquishMagickMemory(cluster);
}
for (i=0; i < MaxDimension; i++)
{
extrema[i]=(short *) RelinquishMagickMemory(extrema[i]);
histogram[i]=(ssize_t *) RelinquishMagickMemory(histogram[i]);
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ I n i t i a l i z e H i s t o g r a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InitializeHistogram() computes the histogram for an image.
%
% The format of the InitializeHistogram method is:
%
% InitializeHistogram(const Image *image,ssize_t **histogram)
%
% A description of each parameter follows.
%
% o image: Specifies a pointer to an Image structure; returned from
% ReadImage.
%
% o histogram: Specifies an array of integers representing the number
% of pixels for each intensity of a particular color component.
%
*/
static void InitializeHistogram(const Image *image,ssize_t **histogram,
ExceptionInfo *exception)
{
register const Quantum
*p;
register ssize_t
i,
x;
ssize_t
y;
/*
Initialize histogram.
*/
for (i=0; i <= 255; i++)
{
histogram[Red][i]=0;
histogram[Green][i]=0;
histogram[Blue][i]=0;
}
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
histogram[Red][(ssize_t) ScaleQuantumToChar(GetPixelRed(image,p))]++;
histogram[Green][(ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p))]++;
histogram[Blue][(ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p))]++;
p+=GetPixelChannels(image);
}
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ I n i t i a l i z e I n t e r v a l T r e e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InitializeIntervalTree() initializes an interval tree from the lists of
% zero crossings.
%
% The format of the InitializeIntervalTree method is:
%
% InitializeIntervalTree(IntervalTree **list,ssize_t *number_nodes,
% IntervalTree *node)
%
% A description of each parameter follows.
%
% o zero_crossing: Specifies an array of structures of type ZeroCrossing.
%
% o number_crossings: This size_t specifies the number of elements
% in the zero_crossing array.
%
*/
static void InitializeList(IntervalTree **list,ssize_t *number_nodes,
IntervalTree *node)
{
if (node == (IntervalTree *) NULL)
return;
if (node->child == (IntervalTree *) NULL)
list[(*number_nodes)++]=node;
InitializeList(list,number_nodes,node->sibling);
InitializeList(list,number_nodes,node->child);
}
static void MeanStability(IntervalTree *node)
{
register IntervalTree
*child;
if (node == (IntervalTree *) NULL)
return;
node->mean_stability=0.0;
child=node->child;
if (child != (IntervalTree *) NULL)
{
register ssize_t
count;
register double
sum;
sum=0.0;
count=0;
for ( ; child != (IntervalTree *) NULL; child=child->sibling)
{
sum+=child->stability;
count++;
}
node->mean_stability=sum/(double) count;
}
MeanStability(node->sibling);
MeanStability(node->child);
}
static void Stability(IntervalTree *node)
{
if (node == (IntervalTree *) NULL)
return;
if (node->child == (IntervalTree *) NULL)
node->stability=0.0;
else
node->stability=node->tau-(node->child)->tau;
Stability(node->sibling);
Stability(node->child);
}
static IntervalTree *InitializeIntervalTree(const ZeroCrossing *zero_crossing,
const size_t number_crossings)
{
IntervalTree
*head,
**list,
*node,
*root;
register ssize_t
i;
ssize_t
j,
k,
left,
number_nodes;
/*
Allocate interval tree.
*/
list=(IntervalTree **) AcquireQuantumMemory((size_t) TreeLength,
sizeof(*list));
if (list == (IntervalTree **) NULL)
return((IntervalTree *) NULL);
/*
The root is the entire histogram.
*/
root=(IntervalTree *) AcquireMagickMemory(sizeof(*root));
root->child=(IntervalTree *) NULL;
root->sibling=(IntervalTree *) NULL;
root->tau=0.0;
root->left=0;
root->right=255;
for (i=(-1); i < (ssize_t) number_crossings; i++)
{
/*
Initialize list with all nodes with no children.
*/
number_nodes=0;
InitializeList(list,&number_nodes,root);
/*
Split list.
*/
for (j=0; j < number_nodes; j++)
{
head=list[j];
left=head->left;
node=head;
for (k=head->left+1; k < head->right; k++)
{
if (zero_crossing[i+1].crossings[k] != 0)
{
if (node == head)
{
node->child=(IntervalTree *) AcquireMagickMemory(
sizeof(*node->child));
node=node->child;
}
else
{
node->sibling=(IntervalTree *) AcquireMagickMemory(
sizeof(*node->sibling));
node=node->sibling;
}
node->tau=zero_crossing[i+1].tau;
node->child=(IntervalTree *) NULL;
node->sibling=(IntervalTree *) NULL;
node->left=left;
node->right=k;
left=k;
}
}
if (left != head->left)
{
node->sibling=(IntervalTree *) AcquireMagickMemory(
sizeof(*node->sibling));
node=node->sibling;
node->tau=zero_crossing[i+1].tau;
node->child=(IntervalTree *) NULL;
node->sibling=(IntervalTree *) NULL;
node->left=left;
node->right=head->right;
}
}
}
/*
Determine the stability: difference between a nodes tau and its child.
*/
Stability(root->child);
MeanStability(root->child);
list=(IntervalTree **) RelinquishMagickMemory(list);
return(root);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ O p t i m a l T a u %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OptimalTau() finds the optimal tau for each band of the histogram.
%
% The format of the OptimalTau method is:
%
% double OptimalTau(const ssize_t *histogram,const double max_tau,
% const double min_tau,const double delta_tau,
% const double smooth_threshold,short *extrema)
%
% A description of each parameter follows.
%
% o histogram: Specifies an array of integers representing the number
% of pixels for each intensity of a particular color component.
%
% o extrema: Specifies a pointer to an array of integers. They
% represent the peaks and valleys of the histogram for each color
% component.
%
*/
static void ActiveNodes(IntervalTree **list,ssize_t *number_nodes,
IntervalTree *node)
{
if (node == (IntervalTree *) NULL)
return;
if (node->stability >= node->mean_stability)
{
list[(*number_nodes)++]=node;
ActiveNodes(list,number_nodes,node->sibling);
}
else
{
ActiveNodes(list,number_nodes,node->sibling);
ActiveNodes(list,number_nodes,node->child);
}
}
static void FreeNodes(IntervalTree *node)
{
if (node == (IntervalTree *) NULL)
return;
FreeNodes(node->sibling);
FreeNodes(node->child);
node=(IntervalTree *) RelinquishMagickMemory(node);
}
static double OptimalTau(const ssize_t *histogram,const double max_tau,
const double min_tau,const double delta_tau,const double smooth_threshold,
short *extrema)
{
IntervalTree
**list,
*node,
*root;
MagickBooleanType
peak;
double
average_tau,
*derivative,
*second_derivative,
tau,
value;
register ssize_t
i,
x;
size_t
count,
number_crossings;
ssize_t
index,
j,
k,
number_nodes;
ZeroCrossing
*zero_crossing;
/*
Allocate interval tree.
*/
list=(IntervalTree **) AcquireQuantumMemory((size_t) TreeLength,
sizeof(*list));
if (list == (IntervalTree **) NULL)
return(0.0);
/*
Allocate zero crossing list.
*/
count=(size_t) ((max_tau-min_tau)/delta_tau)+2;
zero_crossing=(ZeroCrossing *) AcquireQuantumMemory((size_t) count,
sizeof(*zero_crossing));
if (zero_crossing == (ZeroCrossing *) NULL)
return(0.0);
for (i=0; i < (ssize_t) count; i++)
zero_crossing[i].tau=(-1.0);
/*
Initialize zero crossing list.
*/
derivative=(double *) AcquireQuantumMemory(256,sizeof(*derivative));
second_derivative=(double *) AcquireQuantumMemory(256,
sizeof(*second_derivative));
if ((derivative == (double *) NULL) ||
(second_derivative == (double *) NULL))
ThrowFatalException(ResourceLimitFatalError,
"UnableToAllocateDerivatives");
i=0;
for (tau=max_tau; tau >= min_tau; tau-=delta_tau)
{
zero_crossing[i].tau=tau;
ScaleSpace(histogram,tau,zero_crossing[i].histogram);
DerivativeHistogram(zero_crossing[i].histogram,derivative);
DerivativeHistogram(derivative,second_derivative);
ZeroCrossHistogram(second_derivative,smooth_threshold,
zero_crossing[i].crossings);
i++;
}
/*
Add an entry for the original histogram.
*/
zero_crossing[i].tau=0.0;
for (j=0; j <= 255; j++)
zero_crossing[i].histogram[j]=(double) histogram[j];
DerivativeHistogram(zero_crossing[i].histogram,derivative);
DerivativeHistogram(derivative,second_derivative);
ZeroCrossHistogram(second_derivative,smooth_threshold,
zero_crossing[i].crossings);
number_crossings=(size_t) i;
derivative=(double *) RelinquishMagickMemory(derivative);
second_derivative=(double *)
RelinquishMagickMemory(second_derivative);
/*
Ensure the scale-space fingerprints form lines in scale-space, not loops.
*/
ConsolidateCrossings(zero_crossing,number_crossings);
/*
Force endpoints to be included in the interval.
*/
for (i=0; i <= (ssize_t) number_crossings; i++)
{
for (j=0; j < 255; j++)
if (zero_crossing[i].crossings[j] != 0)
break;
zero_crossing[i].crossings[0]=(-zero_crossing[i].crossings[j]);
for (j=255; j > 0; j--)
if (zero_crossing[i].crossings[j] != 0)
break;
zero_crossing[i].crossings[255]=(-zero_crossing[i].crossings[j]);
}
/*
Initialize interval tree.
*/
root=InitializeIntervalTree(zero_crossing,number_crossings);
if (root == (IntervalTree *) NULL)
return(0.0);
/*
Find active nodes: stability is greater (or equal) to the mean stability of
its children.
*/
number_nodes=0;
ActiveNodes(list,&number_nodes,root->child);
/*
Initialize extrema.
*/
for (i=0; i <= 255; i++)
extrema[i]=0;
for (i=0; i < number_nodes; i++)
{
/*
Find this tau in zero crossings list.
*/
k=0;
node=list[i];
for (j=0; j <= (ssize_t) number_crossings; j++)
if (zero_crossing[j].tau == node->tau)
k=j;
/*
Find the value of the peak.
*/
peak=zero_crossing[k].crossings[node->right] == -1 ? MagickTrue :
MagickFalse;
index=node->left;
value=zero_crossing[k].histogram[index];
for (x=node->left; x <= node->right; x++)
{
if (peak != MagickFalse)
{
if (zero_crossing[k].histogram[x] > value)
{
value=zero_crossing[k].histogram[x];
index=x;
}
}
else
if (zero_crossing[k].histogram[x] < value)
{
value=zero_crossing[k].histogram[x];
index=x;
}
}
for (x=node->left; x <= node->right; x++)
{
if (index == 0)
index=256;
if (peak != MagickFalse)
extrema[x]=(short) index;
else
extrema[x]=(short) (-index);
}
}
/*
Determine the average tau.
*/
average_tau=0.0;
for (i=0; i < number_nodes; i++)
average_tau+=list[i]->tau;
average_tau/=(double) number_nodes;
/*
Relinquish resources.
*/
FreeNodes(root);
zero_crossing=(ZeroCrossing *) RelinquishMagickMemory(zero_crossing);
list=(IntervalTree **) RelinquishMagickMemory(list);
return(average_tau);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S c a l e S p a c e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ScaleSpace() performs a scale-space filter on the 1D histogram.
%
% The format of the ScaleSpace method is:
%
% ScaleSpace(const ssize_t *histogram,const double tau,
% double *scale_histogram)
%
% A description of each parameter follows.
%
% o histogram: Specifies an array of doubles representing the number
% of pixels for each intensity of a particular color component.
%
*/
static void ScaleSpace(const ssize_t *histogram,const double tau,
double *scale_histogram)
{
double
alpha,
beta,
*gamma,
sum;
register ssize_t
u,
x;
gamma=(double *) AcquireQuantumMemory(256,sizeof(*gamma));
if (gamma == (double *) NULL)
ThrowFatalException(ResourceLimitFatalError,
"UnableToAllocateGammaMap");
alpha=PerceptibleReciprocal(tau*sqrt(2.0*MagickPI));
beta=(-1.0*PerceptibleReciprocal(2.0*tau*tau));
for (x=0; x <= 255; x++)
gamma[x]=0.0;
for (x=0; x <= 255; x++)
{
gamma[x]=exp((double) beta*x*x);
if (gamma[x] < MagickEpsilon)
break;
}
for (x=0; x <= 255; x++)
{
sum=0.0;
for (u=0; u <= 255; u++)
sum+=(double) histogram[u]*gamma[MagickAbsoluteValue(x-u)];
scale_histogram[x]=alpha*sum;
}
gamma=(double *) RelinquishMagickMemory(gamma);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e g m e n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SegmentImage() segment an image by analyzing the histograms of the color
% components and identifying units that are homogeneous with the fuzzy
% C-means technique.
%
% The format of the SegmentImage method is:
%
% MagickBooleanType SegmentImage(Image *image,
% const ColorspaceType colorspace,const MagickBooleanType verbose,
% const double cluster_threshold,const double smooth_threshold,
% ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o colorspace: Indicate the colorspace.
%
% o verbose: Set to MagickTrue to print detailed information about the
% identified classes.
%
% o cluster_threshold: This represents the minimum number of pixels
% contained in a hexahedra before it can be considered valid (expressed
% as a percentage).
%
% o smooth_threshold: the smoothing threshold eliminates noise in the second
% derivative of the histogram. As the value is increased, you can expect a
% smoother second derivative.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SegmentImage(Image *image,
const ColorspaceType colorspace,const MagickBooleanType verbose,
const double cluster_threshold,const double smooth_threshold,
ExceptionInfo *exception)
{
ColorspaceType
previous_colorspace;
MagickBooleanType
status;
register ssize_t
i;
short
*extrema[MaxDimension];
ssize_t
*histogram[MaxDimension];
/*
Allocate histogram and extrema.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
for (i=0; i < MaxDimension; i++)
{
histogram[i]=(ssize_t *) AcquireQuantumMemory(256,sizeof(**histogram));
extrema[i]=(short *) AcquireQuantumMemory(256,sizeof(**extrema));
if ((histogram[i] == (ssize_t *) NULL) || (extrema[i] == (short *) NULL))
{
for (i-- ; i >= 0; i--)
{
extrema[i]=(short *) RelinquishMagickMemory(extrema[i]);
histogram[i]=(ssize_t *) RelinquishMagickMemory(histogram[i]);
}
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename)
}
}
/*
Initialize histogram.
*/
previous_colorspace=image->colorspace;
(void) TransformImageColorspace(image,colorspace,exception);
InitializeHistogram(image,histogram,exception);
(void) OptimalTau(histogram[Red],Tau,0.2,DeltaTau,
smooth_threshold == 0.0 ? 1.0 : smooth_threshold,extrema[Red]);
(void) OptimalTau(histogram[Green],Tau,0.2,DeltaTau,
smooth_threshold == 0.0 ? 1.0 : smooth_threshold,extrema[Green]);
(void) OptimalTau(histogram[Blue],Tau,0.2,DeltaTau,
smooth_threshold == 0.0 ? 1.0 : smooth_threshold,extrema[Blue]);
/*
Classify using the fuzzy c-Means technique.
*/
status=Classify(image,extrema,cluster_threshold,WeightingExponent,verbose,
exception);
(void) TransformImageColorspace(image,previous_colorspace,exception);
/*
Relinquish resources.
*/
for (i=0; i < MaxDimension; i++)
{
extrema[i]=(short *) RelinquishMagickMemory(extrema[i]);
histogram[i]=(ssize_t *) RelinquishMagickMemory(histogram[i]);
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ Z e r o C r o s s H i s t o g r a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ZeroCrossHistogram() find the zero crossings in a histogram and marks
% directions as: 1 is negative to positive; 0 is zero crossing; and -1
% is positive to negative.
%
% The format of the ZeroCrossHistogram method is:
%
% ZeroCrossHistogram(double *second_derivative,
% const double smooth_threshold,short *crossings)
%
% A description of each parameter follows.
%
% o second_derivative: Specifies an array of doubles representing the
% second derivative of the histogram of a particular color component.
%
% o crossings: This array of integers is initialized with
% -1, 0, or 1 representing the slope of the first derivative of the
% of a particular color component.
%
*/
static void ZeroCrossHistogram(double *second_derivative,
const double smooth_threshold,short *crossings)
{
register ssize_t
i;
ssize_t
parity;
/*
Merge low numbers to zero to help prevent noise.
*/
for (i=0; i <= 255; i++)
if ((second_derivative[i] < smooth_threshold) &&
(second_derivative[i] >= -smooth_threshold))
second_derivative[i]=0.0;
/*
Mark zero crossings.
*/
parity=0;
for (i=0; i <= 255; i++)
{
crossings[i]=0;
if (second_derivative[i] < 0.0)
{
if (parity > 0)
crossings[i]=(-1);
parity=1;
}
else
if (second_derivative[i] > 0.0)
{
if (parity < 0)
crossings[i]=1;
parity=(-1);
}
}
}
|
convert.c | /*
This file is part of ParTI!.
ParTI! is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as
published by the Free Software Foundation, either version 3 of
the License, or (at your option) any later version.
ParTI! is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with ParTI!.
If not, see <http://www.gnu.org/licenses/>.
*/
#include <ParTI.h>
#include "../sptensor.h"
#include "hicoo.h"
/**
* Compare two specified coordinates.
* @param tsr a pointer to a sparse tensor
* @return 1, z == item; otherwise, 0.
*/
static int sptEqualWithTwoCoordinates(
const sptIndex * item1,
const sptIndex * item2,
const sptIndex nmodes)
{
sptIndex i1, i2;
for(sptIndex m=0; m<nmodes; ++m) {
i1 = item1[m];
i2 = item2[m];
if(i1 != i2) {
return 0;
break;
}
}
return 1;
}
/**
* Compute the end of this block
* @param tsr a pointer to a sparse tensor
* @return out_item the end indices of this block
*/
static int sptBlockEnd(
sptIndex * out_item,
sptSparseTensor *tsr,
const sptIndex * in_item,
const sptElementIndex sb)
{
sptIndex nmodes = tsr->nmodes;
for(sptIndex m=0; m<nmodes; ++m) {
sptAssert(in_item[m] < tsr->ndims[m]);
out_item[m] = in_item[m]+sb < tsr->ndims[m] ? in_item[m]+sb : tsr->ndims[m]; // exclusive
}
return 0;
}
/**
* Locate the beginning of the block/kernel containing the coordinates
* @param tsr a pointer to a sparse tensor
* @return out_item the beginning indices of this block
*/
static int sptLocateBeginCoord(
sptIndex * out_item,
sptSparseTensor *tsr,
const sptIndex * in_item,
const sptElementIndex bits)
{
sptIndex nmodes = tsr->nmodes;
for(sptIndex m=0; m<nmodes; ++m) {
out_item[m] = in_item[m] >> bits;
}
return 0;
}
/**
* Record mode pointers for kernel rows, from a sorted tensor.
* @param mptr a vector of pointers as a dense array
* @param tsr a pointer to a sparse tensor
* @return mode pointers
*/
int sptGetRowBlockPointers(
sptNnzIndexVector *mptr,
sptSparseTensor *tsr,
const sptIndex sk)
{
sptNnzIndex nnz = tsr->nnz;
sptIndex i = tsr->inds[0].data[0];
sptNnzIndex k = 0; // count blocks
sptNnzIndex knnz = 0; // #Nonzeros per block
mptr->data[0] = 0;
while(1) {
/* check if mode-0 index in block-b */
if(i >= sk * k && i < sk * (k+1)) {
++ knnz;
break;
} else {
++ k;
mptr->data[k] = knnz + mptr->data[k-1];
knnz = 0;
}
}
for(sptNnzIndex z=1; z<nnz; ++z) {
i = tsr->inds[0].data[z];
/* Compare with the next block row index */
while(1) {
if(i >= sk * k && i < sk * (k+1)) {
++ knnz;
break;
} else {
++ k;
mptr->data[k] = knnz + mptr->data[k-1];
knnz = 0;
}
}
}
sptAssert(k < (tsr->ndims[0] + sk -1 ) / sk);
sptAssert(mptr->data[mptr->len-1] + knnz == nnz);
return 0;
}
/**
* Record mode pointers for kernel rows, from a sorted tensor.
* @param kptr a vector of kernel pointers
* @param tsr a pointer to a sparse tensor
* @return mode pointers
*/
int sptSetKernelPointers(
sptNnzIndexVector *kptr,
sptNnzIndexVector *knnzs,
sptSparseTensor *tsr,
const sptElementIndex sk_bits)
{
sptIndex nmodes = tsr->nmodes;
sptNnzIndex nnz = tsr->nnz;
sptNnzIndex k = 0; // count kernels
sptNnzIndex knnz = 0; // #Nonzeros per kernel
int result = 0;
result = sptAppendNnzIndexVector(kptr, 0);
spt_CheckError(result, "HiSpTns Convert", NULL);
sptIndex * coord = (sptIndex *)malloc(nmodes * sizeof(*coord));
sptIndex * kernel_coord = (sptIndex *)malloc(nmodes * sizeof(*kernel_coord));
sptIndex * kernel_coord_prior = (sptIndex *)malloc(nmodes * sizeof(*kernel_coord_prior));
/* Process first nnz to get the first kernel_coord_prior */
for(sptIndex m=0; m<nmodes; ++m)
coord[m] = tsr->inds[m].data[0]; // first nonzero indices
result = sptLocateBeginCoord(kernel_coord_prior, tsr, coord, sk_bits);
spt_CheckError(result, "HiSpTns Convert", NULL);
for(sptNnzIndex z=0; z<nnz; ++z) {
for(sptIndex m=0; m<nmodes; ++m)
coord[m] = tsr->inds[m].data[z];
result = sptLocateBeginCoord(kernel_coord, tsr, coord, sk_bits);
spt_CheckError(result, "HiSpTns Convert", NULL);
if(sptEqualWithTwoCoordinates(kernel_coord, kernel_coord_prior, nmodes) == 1) {
++ knnz;
} else {
++ k;
result = sptAppendNnzIndexVector(kptr, knnz + kptr->data[k-1]);
spt_CheckError(result, "HiSpTns Convert", NULL);
result = sptAppendNnzIndexVector(knnzs, knnz);
spt_CheckError(result, "HiSpTns Convert", NULL);
for(sptIndex m=0; m<nmodes; ++m)
kernel_coord_prior[m] = kernel_coord[m];
knnz = 1;
}
}
sptAssert(k < kptr->len);
sptAssert(kptr->data[kptr->len-1] + knnz == nnz);
/* Set the last element for kptr */
sptAppendNnzIndexVector(kptr, nnz);
sptAppendNnzIndexVector(knnzs, knnz);
free(coord);
free(kernel_coord);
free(kernel_coord_prior);
return 0;
}
/**
* Set scheduler for kernels.
* @param kschr nmodes kernel schedulers.
* @param tsr a pointer to a sparse tensor
* @return mode pointers
*/
int sptSetKernelScheduler(
sptIndexVector **kschr,
sptIndex *nkiters,
sptNnzIndexVector * const kptr,
sptSparseTensor *tsr,
const sptElementIndex sk_bits)
{
sptIndex nmodes = tsr->nmodes;
sptIndex * ndims = tsr->ndims;
int result = 0;
sptIndex * coord = (sptIndex *)malloc(nmodes * sizeof(*coord));
sptIndex * kernel_coord = (sptIndex *)malloc(nmodes * sizeof(*kernel_coord));
for(sptNnzIndex k=0; k<kptr->len - 1; ++k) {
sptNnzIndex z = kptr->data[k];
for(sptIndex m=0; m<nmodes; ++m)
coord[m] = tsr->inds[m].data[z];
result = sptLocateBeginCoord(kernel_coord, tsr, coord, sk_bits);
spt_CheckError(result, "HiSpTns Convert", NULL);
for(sptIndex m=0; m<nmodes; ++m) {
result = sptAppendIndexVector(&(kschr[m][kernel_coord[m]]), k);
spt_CheckError(result, "HiSpTns Convert", NULL);
}
}
free(coord);
free(kernel_coord);
sptIndex sk = (sptIndex)pow(2, sk_bits);
sptIndex tmp;
for(sptIndex m=0; m<nmodes; ++m) {
tmp = 0;
sptIndex kernel_ndim = (ndims[m] + sk - 1) / sk;
for(sptIndex i=0; i<kernel_ndim; ++i) {
if(tmp < kschr[m][i].len)
tmp = kschr[m][i].len;
}
nkiters[m] = tmp;
}
return 0;
}
/**
* Pre-process COO sparse tensor by permuting, sorting, and record pointers to blocked rows. Kernels in Row-major order, blocks and elements are in Z-Morton order.
* @param tsr a pointer to a sparse tensor
* @return mode pointers
*/
int sptPreprocessSparseTensor(
sptNnzIndexVector * kptr,
sptIndexVector **kschr,
sptIndex *nkiters,
sptIndexVector **kschr_balanced,
sptIndexVector **kschr_balanced_pos,
sptIndex *nkpars,
sptIndexVector * kschr_rest,
sptNnzIndexVector * knnzs,
sptSparseTensor *tsr,
const sptElementIndex sb_bits,
const sptElementIndex sk_bits,
int const tk)
{
sptNnzIndex nnz = tsr->nnz;
int result;
// TODO: possible permute modes to improve parallelism
/* Sort tsr in a Row-major Block order to get all kernels. Not use Morton-order for kernels: 1. better support for higher-order tensors by limiting kernel size, because Morton key bit <= 128; */
sptTimer rowblock_sort_timer;
sptNewTimer(&rowblock_sort_timer, 0);
sptStartTimer(rowblock_sort_timer);
sptSparseTensorSortIndexRowBlock(tsr, 1, 0, nnz, sk_bits, tk); // Parallelized inside
sptStopTimer(rowblock_sort_timer);
sptPrintElapsedTime(rowblock_sort_timer, "\t\trowblock sorting");
sptFreeTimer(rowblock_sort_timer);
#if PARTI_DEBUG == 3
printf("Sorted by sptSparseTensorSortIndexRowBlock.\n");
sptAssert(sptDumpSparseTensor(tsr, 0, stdout) == 0);
#endif
sptTimer set_kernel_timer;
sptNewTimer(&set_kernel_timer, 0);
sptStartTimer(set_kernel_timer);
result = sptSetKernelPointers(kptr, knnzs, tsr, sk_bits);
spt_CheckError(result, "HiSpTns Preprocess", NULL);
result = sptSetKernelScheduler(kschr, nkiters, kptr, tsr, sk_bits);
spt_CheckError(result, "HiSpTns Preprocess", NULL);
// printf("OK\n"); fflush(stdout);
/* Set balanced data structures: kschr_balanced, kschr_rest */
// sptNnzIndex avg_nnzk = tsr->nnz / (kptr->len - 1);
sptNnzIndex max_nnzk = 0;
for(sptIndex k=0; k<kptr->len - 1; ++k) {
sptNnzIndex nnzk = knnzs->data[k];
if(max_nnzk < nnzk) max_nnzk = nnzk;
}
// sptNnzIndex par_nnzk_th = 20 * avg_nnzk; // threshold for nnzk per thread
sptNnzIndex par_nnzk_th = 5 * max_nnzk; // threshold for nnzk per thread
printf("par_nnzk_th: %lu\n", par_nnzk_th);
sptIndex sk = (sptIndex)pow(2, sk_bits);
// printf("OK-2\n"); fflush(stdout);
for(sptIndex m=0; m < tsr->nmodes; ++m) { // Loop kschr for each mode
sptIndexVector * restrict kschr_mode = kschr[m];
sptIndexVector * restrict kschr_balanced_mode = kschr_balanced[m];
sptIndexVector * restrict kschr_balanced_pos_mode = kschr_balanced_pos[m];
sptIndex kernel_ndim = (tsr->ndims[m] + sk - 1)/sk;
for(sptIndex i=0; i < kernel_ndim; ++i) {
sptAppendIndexVector(&(kschr_balanced_pos_mode[i]), 0);
}
// sptIndex j_rest = nkiters[m];
sptIndex npars = 0;
int tag_rest = 0;
sptIndex count_nk = 0;
sptIndex empty_schr_rows_th = 1.0 * kernel_ndim > 1 ? 1.0 * kernel_ndim : 1;
printf("[mode %u] empty_schr_rows_th: %u\n", m, empty_schr_rows_th);
while(tag_rest == 0 && count_nk < kptr->len - 1) { // Loop for partitions. tag_rest = 1, maybe there is no rest.
/* Check two ranges: npars and j or tmp_j !!! */
sptIndex max_nnzk_per_col = 0, par_nnzk = 0;
sptIndex count_empty_schr_rows = 0;
for(sptIndex i=0; i < kernel_ndim; ++i) { // Find the max nnzk
if(count_empty_schr_rows > empty_schr_rows_th) {
tag_rest = 1;
break;
}
if(npars >= kschr_balanced_pos_mode[i].len) {
++ count_empty_schr_rows;
continue;
} else {
sptIndex j = kschr_balanced_pos_mode[i].data[npars];
if(j >= kschr_mode[i].len) {
++ count_empty_schr_rows;
continue;
}
sptIndex kernel_num = kschr_mode[i].data[j];
sptNnzIndex kernel_nnz = knnzs->data[kernel_num];
if (max_nnzk_per_col < kernel_nnz) {
max_nnzk_per_col = kernel_nnz;
}
}
} // End of i
if(tag_rest == 1) { // an empty superblock met, to kschr_rest
for(sptIndex i=0; i < kernel_ndim; ++i) {
if(npars >= kschr_balanced_pos_mode[i].len) continue;
sptIndex j2 = kschr_balanced_pos_mode[i].data[npars];
for(; j2 < kschr_mode[i].len; ++j2) {
sptAppendIndexVector(&kschr_rest[m], kschr_mode[i].data[j2]);
++ count_nk;
}
}
} else { // all non-empty superblocks for this column, to kschr_balanced, kschr_balanced_pos
/* set par_nnzk */
if(max_nnzk_per_col > par_nnzk_th) {
par_nnzk = max_nnzk_per_col; // split according to the superblock with the max nnzk
} else {
par_nnzk = par_nnzk_th;
}
/* Real partition */
for(sptIndex i=0; i < kernel_ndim; ++i) {
if(npars >= kschr_balanced_pos_mode[i].len) continue;
sptIndex tmp_j = kschr_balanced_pos_mode[i].data[npars];
if(tmp_j >= kschr_mode[i].len) continue;
sptIndex kernel_num = kschr_mode[i].data[tmp_j];
sptNnzIndex sum_nnzk = knnzs->data[kernel_num];
while(sum_nnzk <= par_nnzk) {
sptAppendIndexVector(&(kschr_balanced_mode[i]), kernel_num);
++ count_nk;
++ tmp_j;
if(tmp_j < kschr_mode[i].len) {
kernel_num = kschr_mode[i].data[tmp_j]; // j + 1
sum_nnzk += knnzs->data[kernel_num];
} else {
break;
}
} // End of while
sptAppendIndexVector(&(kschr_balanced_pos_mode[i]), tmp_j);
}
++ npars;
}
// printf("count_nk: %u\n", count_nk); fflush(stdout);
} // End of while
nkpars[m] = npars; // kschr_balanced_pos.len is npars + 1.
} // End loop of modes
sptStopTimer(set_kernel_timer);
sptPrintElapsedTime(set_kernel_timer, "\t\tSet Kernel Ptrs");
sptFreeTimer(set_kernel_timer);
sptTimer morton_sort_timer;
sptNewTimer(&morton_sort_timer, 0);
sptStartTimer(morton_sort_timer);
/* Sort blocks in each kernel in Morton-order */
sptNnzIndex k_begin, k_end;
/* Loop for all kernels, 0-kptr.len for OMP code */
#pragma omp parallel for num_threads(tk)
for(sptNnzIndex k=0; k<kptr->len - 1; ++k) {
k_begin = kptr->data[k];
k_end = kptr->data[k+1]; // exclusive
/* Sort blocks in each kernel in Morton-order */
sptSparseTensorSortIndexMorton(tsr, 1, k_begin, k_end, sb_bits, tk);
// sptSparseTensorSortIndexRowBlock(tsr, 1, k_begin, k_end, sb_bits, tk);
#if PARTI_DEBUG == 3
printf("Kernel %"PARTI_PRI_NNZ_INDEX ": Sorted by sptSparseTensorSortIndexMorton.\n", k);
sptAssert(sptDumpSparseTensor(tsr, 0, stdout) == 0);
#endif
}
sptStopTimer(morton_sort_timer);
sptPrintElapsedTime(morton_sort_timer, "\t\tMorton sorting");
// sptPrintElapsedTime(morton_sort_timer, "\t\t2nd Rowblock sorting");
sptFreeTimer(morton_sort_timer);
return 0;
}
int sptSparseTensorToHiCOO(
sptSparseTensorHiCOO *hitsr,
sptNnzIndex *max_nnzb,
sptSparseTensor *tsr,
const sptElementIndex sb_bits,
const sptElementIndex sk_bits,
const sptElementIndex sc_bits,
int const tk)
{
sptAssert(sk_bits >= sb_bits);
sptAssert(sc_bits >= sb_bits);
sptIndex i;
int result;
sptIndex nmodes = tsr->nmodes;
sptNnzIndex nnz = tsr->nnz;
sptElementIndex sb = pow(2, sb_bits);
sptIndex sc = pow(2, sc_bits);
/* Set HiCOO parameters. ndims for type conversion, size_t -> sptIndex */
sptIndex * ndims = malloc(nmodes * sizeof *ndims);
spt_CheckOSError(!ndims, "HiSpTns Convert");
for(i = 0; i < nmodes; ++i) {
ndims[i] = (sptIndex)tsr->ndims[i];
}
result = sptNewSparseTensorHiCOO(hitsr, (sptIndex)tsr->nmodes, ndims, (sptNnzIndex)tsr->nnz, sb_bits, sk_bits, sc_bits);
spt_CheckError(result, "HiSpTns Convert", NULL);
/* Pre-process tensor to get hitsr->kptr, values are nonzero locations. */
sptTimer sort_timer;
sptNewTimer(&sort_timer, 0);
sptStartTimer(sort_timer);
sptPreprocessSparseTensor(&hitsr->kptr, hitsr->kschr, hitsr->nkiters, hitsr->kschr_balanced, hitsr->kschr_balanced_pos, hitsr->nkpars, hitsr->kschr_rest, &hitsr->knnzs, tsr, sb_bits, sk_bits, tk);
sptStopTimer(sort_timer);
sptPrintElapsedTime(sort_timer, "\tHiCOO sorting (rowblock + morton)");
sptFreeTimer(sort_timer);
#if PARTI_DEBUG >= 2
printf("Kernels: Row-major, blocks: Morton-order sorted:\n");
sptAssert(sptDumpSparseTensor(tsr, 0, stdout) == 0);
printf("hitsr->kptr:\n");
sptDumpNnzIndexVector(&hitsr->kptr, stdout);
#endif
sptTimer gen_timer;
sptNewTimer(&gen_timer, 0);
sptStartTimer(gen_timer);
/* Temporary storage */
sptIndex * block_begin = (sptIndex *)malloc(nmodes * sizeof(*block_begin));
sptIndex * block_end = (sptIndex *)malloc(nmodes * sizeof(*block_end));
sptIndex * block_begin_prior = (sptIndex *)malloc(nmodes * sizeof(*block_begin_prior));
sptIndex * block_coord = (sptIndex *)malloc(nmodes * sizeof(*block_coord));
sptNnzIndex k_begin, k_end; // #Nonzeros locations
sptNnzIndex nk = 0; // #Kernels
sptNnzIndex nc = 0; // #Chunks
sptNnzIndex nb = 1; // #Blocks // counting from the first nnz
sptNnzIndex nb_tmp = 0;
sptNnzIndex ne = 0; // #Nonzeros per block
sptIndex eindex = 0;
sptBlockIndex chunk_size = 0;
/* different appending methods:
* elements: append every nonzero entry
* blocks: append when seeing a new block.
* chunks: appending when seeting a new chunk. Notice the boundary of kernels and the last chunk of the whole tensor may be larger than the sc.
* kernels: append when seeing a new kernel. Not appending a vector, just write data into an allocated array.
*/
/* Process first nnz */
for(sptIndex m=0; m<nmodes; ++m)
block_coord[m] = tsr->inds[m].data[0]; // first nonzero indices
result = sptLocateBeginCoord(block_begin_prior, tsr, block_coord, sb_bits);
spt_CheckError(result, "HiSpTns Convert", NULL);
for(sptIndex m=0; m<nmodes; ++m)
sptAppendBlockIndexVector(&hitsr->binds[m], (sptBlockIndex)block_begin_prior[m]);
sptAppendNnzIndexVector(&hitsr->bptr, 0);
/* Loop for all kernels, 0 - hitsr->kptr.len - 1 for OMP code */
for(sptNnzIndex k=0; k<hitsr->kptr.len - 1; ++k) {
k_begin = hitsr->kptr.data[k];
k_end = hitsr->kptr.data[k+1]; // exclusive
nb_tmp = k == 0 ? 0: nb;
/* Modify kptr pointing to block locations */
hitsr->kptr.data[k] = nb_tmp;
++ nk;
/* Only append a chunk for the new kernel, the last chunk in the old kernel may be larger than sc */
sptAppendNnzIndexVector(&hitsr->cptr, nb_tmp);
// printf("cptr 1:\n");
// sptDumpNnzIndexVector(&hitsr->cptr, stdout);
++ nc;
chunk_size = 0;
/* Loop nonzeros in each kernel */
for(sptNnzIndex z = k_begin; z < k_end; ++z) {
#if PARTI_DEBUG == 5
printf("z: %"PARTI_PRI_NNZ_INDEX "\n", z);
#endif
for(sptIndex m=0; m<nmodes; ++m)
block_coord[m] = tsr->inds[m].data[z]; // first nonzero indices
#if PARTI_DEBUG == 5
printf("block_coord:\n");
sptAssert(sptDumpIndexArray(block_coord, nmodes, stdout) == 0);
#endif
result = sptLocateBeginCoord(block_begin, tsr, block_coord, sb_bits);
// spt_CheckError(result, "HiSpTns Convert", NULL);
#if PARTI_DEBUG == 5
printf("block_begin_prior:\n");
sptAssert(sptDumpIndexArray(block_begin_prior, nmodes, stdout) == 0);
printf("block_begin:\n");
sptAssert(sptDumpIndexArray(block_begin, nmodes, stdout) == 0);
#endif
result = sptBlockEnd(block_end, tsr, block_begin, sb); // exclusive
// spt_CheckError(result, "HiSpTns Convert", NULL);
/* Append einds and values */
for(sptIndex m=0; m<nmodes; ++m) {
eindex = tsr->inds[m].data[z] < (block_begin[m] << sb_bits) ? tsr->inds[m].data[z] : tsr->inds[m].data[z] - (block_begin[m] << sb_bits);
sptAssert(eindex < sb);
sptAppendElementIndexVector(&hitsr->einds[m], (sptElementIndex)eindex);
}
sptAppendValueVector(&hitsr->values, tsr->values.data[z]);
/* z in the same block with last z */
if (sptEqualWithTwoCoordinates(block_begin, block_begin_prior, nmodes) == 1)
{
/* ne: #Elements in current block */
++ ne;
} else { /* New block */
/* ne: #Elements in the last block */
/* Append block bptr and bidx */
sptAppendNnzIndexVector(&hitsr->bptr, (sptBlockIndex)z);
for(sptIndex m=0; m<nmodes; ++m)
sptAppendBlockIndexVector(&hitsr->binds[m], (sptBlockIndex)block_begin[m]);
for(sptIndex m=0; m<nmodes; ++m)
block_begin_prior[m] = block_begin[m];
/* ne: old block's number of nonzeros */
// if(chunk_size + ne > sc || ne >= sc) {
// if(chunk_size + ne >= sc && chunk_size > 0) { // calculate the prior block
// /* Append a chunk ending by the old block */
// sptAppendNnzIndexVector(&hitsr->cptr, nb-1);
// // printf("cptr 2:\n");
// // sptDumpNnzIndexVector(&hitsr->cptr, stdout);
// ++ nc;
// chunk_size = ne;
// } else {
// chunk_size += ne;
// }
if(chunk_size + ne >= sc) { // calculate the prior block
/* Append a chunk ending by the old block */
sptAppendNnzIndexVector(&hitsr->cptr, nb);
// printf("cptr 2:\n");
// sptDumpNnzIndexVector(&hitsr->cptr, stdout);
// printf("nb: %u, chunk_size: %u, ne: %u\n", nb, chunk_size, ne);
++ nc;
chunk_size = 0;
} else {
chunk_size += ne;
}
++ nb;
ne = 1;
} // End new block
#if PARTI_DEBUG == 5
printf("nk: %u, nc: %u, nb: %u, ne: %u, chunk_size: %lu\n\n", nk, nc, nb, ne, chunk_size);
#endif
} // End z loop
} // End k loop
sptAssert(nb <= nnz);
sptAssert(nb == hitsr->binds[0].len);
// sptAssert(nc <= nb);
sptAssert(nk == hitsr->kptr.len - 1);
/* Last element for kptr, cptr, bptr */
hitsr->kptr.data[hitsr->kptr.len - 1] = hitsr->bptr.len;
sptAppendNnzIndexVector(&hitsr->cptr, hitsr->bptr.len);
sptAppendNnzIndexVector(&hitsr->bptr, nnz);
*max_nnzb = hitsr->bptr.data[1] - hitsr->bptr.data[0];
sptNnzIndex sum_nnzb = 0;
for(sptIndex i=0; i < hitsr->bptr.len - 1; ++i) {
sptNnzIndex nnzb = hitsr->bptr.data[i+1] - hitsr->bptr.data[i];
sum_nnzb += nnzb;
if(*max_nnzb < nnzb) {
*max_nnzb = nnzb;
}
}
sptAssert(sum_nnzb == hitsr->nnz);
sptStopTimer(gen_timer);
sptPrintElapsedTime(gen_timer, "\tGenerate HiCOO");
sptFreeTimer(gen_timer);
free(block_begin);
free(block_end);
free(block_begin_prior);
free(block_coord);
return 0;
}
|
integral_serial.c | #include<stdio.h>
#include<omp.h>
#define NUM_THREADS 4
static long num_steps = 100000;
double step;
int main(){
int i, nthreads;
double pi = 0.0, init_time, finish_time;
step = 1.0 / (double)num_steps;
init_time = omp_get_wtime();
omp_set_num_threads(NUM_THREADS);
#pragma omp parallel
{
int i, id, nthrds;
double x, sum = 0.0;
id = omp_get_thread_num();
nthrds = omp_get_num_threads();
if (id == 0)
nthreads = nthrds;
for (i=id ; i<num_steps ; i=i+nthrds){
x = (i+0.5)*step;
#pragma omp critical
sum += 4.0/(1.0+x*x);
}
pi += sum*step;
}
finish_time = omp_get_wtime()-init_time;
printf("PI = %f\n", pi);
printf("Time = %f\n", finish_time);
}
|
evolve.c | /**
@file evolve.c
@brief This file contains all the core VPLANET integration routines including
the timestepping algorithm and the Runge-Kutta Integration scheme.
@author Rory Barnes ([RoryBarnes](https://github.com/RoryBarnes/))
@date May 2014
*/
#define NUM_THREADS 4
#include "vplanet.h"
void PropsAuxGeneral(BODY *body, CONTROL *control) {
/* Recompute the mean motion, necessary for most modules */
int iBody; // Dummy counting variable
for (iBody = 0; iBody < control->Evolve.iNumBodies; iBody++) {
if (iBody != 0 && body[iBody].bBinary == 0) {
body[iBody].dMeanMotion = fdSemiToMeanMotion(
body[iBody].dSemi, (body[0].dMass + body[iBody].dMass));
}
}
}
void PropertiesAuxiliary(BODY *body, CONTROL *control, SYSTEM *system,
UPDATE *update) {
/* Evaluate single and multi-module auxialliary functions to update parameters
* of interest such as mean motion.
*/
int iBody, iModule; // Dummy counter variables
PropsAuxGeneral(body, control);
/* Get properties from each module */
for (iBody = 0; iBody < control->Evolve.iNumBodies; iBody++) {
// Uni-module properties
for (iModule = 0; iModule < control->Evolve.iNumModules[iBody]; iModule++) {
control->fnPropsAux[iBody][iModule](body, &control->Evolve, &control->Io,
update, iBody);
}
// Multi-module properties
for (iModule = 0; iModule < control->iNumMultiProps[iBody]; iModule++) {
control->fnPropsAuxMulti[iBody][iModule](body, &control->Evolve,
&control->Io, update, iBody);
}
}
}
void CalculateDerivatives(BODY *body, SYSTEM *system, UPDATE *update,
fnUpdateVariable ***fnUpdate, int iNumBodies) {
int iBody, iVar, iEqn;
for (iBody = 0; iBody < iNumBodies; iBody++) {
for (iVar = 0; iVar < update[iBody].iNumVars; iVar++) {
update[iBody].daDeriv[iVar] = 0;
for (iEqn = 0; iEqn < update[iBody].iNumEqns[iVar]; iEqn++) {
update[iBody].daDerivProc[iVar][iEqn] = fnUpdate[iBody][iVar][iEqn](
body, system, update[iBody].iaBody[iVar][iEqn]);
update[iBody].daDeriv[iVar] += update[iBody].daDerivProc[iVar][iEqn];
}
}
}
iBody = 0;
}
void CheckProgress(BODY *body, CONTROL *control, SYSTEM *system,
UPDATE *update) {
int iBody, jBody;
if (control->Io.iVerbose >= VERBPROG && !control->Io.bMutualIncMessage &&
control->Io.dMaxMutualInc > 0) {
// If made it here, more than 1 body must be present
if (body[1].bSpiNBody) {
// Calculate orbital elements
for (iBody = 0; iBody < control->Evolve.iNumBodies; iBody++) {
cart2osc(body, iBody);
}
}
// Skip central body
for (iBody = 1; iBody < control->Evolve.iNumBodies; iBody++) {
for (jBody = iBody + 1; jBody < control->Evolve.iNumBodies; jBody++) {
// 1 to check progress, not halt
if (fbCheckMaxMutualInc(body, &control->Evolve, control->Halt,
&control->Io, iBody, jBody, 1)) {
/*
if (control->Io.iVerbose >= VERBPROG) {
printf("WARNING: Mutual inclination of %s and %s exceeds ",
body[iBody].cName,body[jBody].cName);
fprintd(stdout,control->Io.dMaxMutualInc,control->Io.iSciNot,
control->Io.iDigits);
printf(" at t = %.2e years.\n",control->Evolve.dTime);
}
*/
control->Io.bMutualIncMessage = 1;
}
}
}
}
}
/*
* Integration Control
*/
double AssignDt(double dMin, double dNextOutput, double dEta) {
/* Compute the next timestep, dt, making sure it's not larger than the output
* cadence */
dMin = dEta * dMin;
if (dNextOutput < dMin) {
dMin = dNextOutput;
}
return dMin;
}
double fdGetTimeStep(BODY *body, CONTROL *control, SYSTEM *system,
UPDATE *update, fnUpdateVariable ***fnUpdate) {
/* Fills the Update arrays with the derivatives
* or new values. It returns the smallest timescale for use
* in variable timestepping. Uses either a 4th order Runge-Kutte integrator or
* an Euler step.
*/
int iBody, iVar, iEqn; // Dummy counting variables
EVOLVE
integr; // Dummy EVOLVE struct so we don't have to dereference control a lot
double dVarNow, dMinNow, dMin = dHUGE,
dVarTotal; // Intermediate storage variables
integr = control->Evolve;
dMin = dHUGE;
for (iBody = 0; iBody < control->Evolve.iNumBodies; iBody++) {
if (update[iBody].iNumVars > 0) {
for (iVar = 0; iVar < update[iBody].iNumVars; iVar++) {
// The parameter does not require a derivative, but is calculated
// explicitly as a function of age.
/*
printf("%d %d\n",iBody,iVar);
fflush(stdout);
*/
if (update[iBody].iaType[iVar][0] == 0) {
dVarNow = *update[iBody].pdVar[iVar];
for (iEqn = 0; iEqn < update[iBody].iNumEqns[iVar]; iEqn++) {
update[iBody].daDerivProc[iVar][iEqn] = fnUpdate[iBody][iVar][iEqn](
body, system, update[iBody].iaBody[iVar][iEqn]);
}
if (control->Evolve.bFirstStep) {
dMin = integr.dTimeStep;
control->Evolve.bFirstStep = 0;
} else {
/* Sum over all equations giving new value of the variable */
dVarTotal = 0.;
for (iEqn = 0; iEqn < update[iBody].iNumEqns[iVar]; iEqn++) {
dVarTotal += update[iBody].daDerivProc[iVar][iEqn];
}
// Prevent division by zero
if (dVarNow != dVarTotal) {
dMinNow =
fabs(dVarNow / ((dVarNow - dVarTotal) / integr.dTimeStep));
if (dMinNow < dMin) {
dMin = dMinNow;
}
}
}
/* Equations that are integrated in the matrix but are NOT allowed to
dictate timestepping. These are derived quantities, like lost
energy, that must be integrated as primary variables to keep track of
them properly, i.e. lost energy depends on changing radii, which are
integrated. But in this case, since they are derived quantities,
they should NOT participate in timestep selection - dflemin3
*/
} else if (update[iBody].iaType[iVar][0] == 5) {
// continue;
for (iEqn = 0; iEqn < update[iBody].iNumEqns[iVar]; iEqn++) {
update[iBody].daDerivProc[iVar][iEqn] = fnUpdate[iBody][iVar][iEqn](
body, system, update[iBody].iaBody[iVar][iEqn]);
}
/* Integration for binary, where parameters can be computed via
derivatives, or as an explicit function of age */
} else if (update[iBody].iaType[iVar][0] == 10) {
/* Equations not in matrix, computing things as explicit function of
time, so we set dMin to time until next output
Figure out time until next output */
dMinNow = control->Io.dNextOutput;
if (dMinNow < dMin) {
dMin = dMinNow;
}
/* The parameter does not require a derivative, but is calculated
explicitly as a function of age and is a sinusoidal quantity
(e.g. h,k,p,q in DistOrb) */
} else if (update[iBody].iaType[iVar][0] == 3) {
dVarNow = *update[iBody].pdVar[iVar];
for (iEqn = 0; iEqn < update[iBody].iNumEqns[iVar]; iEqn++) {
update[iBody].daDerivProc[iVar][iEqn] = fnUpdate[iBody][iVar][iEqn](
body, system, update[iBody].iaBody[iVar][iEqn]);
}
if (control->Evolve.bFirstStep) {
dMin = integr.dTimeStep;
control->Evolve.bFirstStep = 0;
} else {
/* Sum over all equations giving new value of the variable */
dVarTotal = 0.;
for (iEqn = 0; iEqn < update[iBody].iNumEqns[iVar]; iEqn++) {
dVarTotal += update[iBody].daDerivProc[iVar][iEqn];
}
// Prevent division by zero
if (dVarNow != dVarTotal) {
dMinNow = fabs(1.0 / ((dVarNow - dVarTotal) / integr.dTimeStep));
if (dMinNow < dMin) {
dMin = dMinNow;
}
}
}
/* The parameter is a "polar/sinusoidal quantity" and
controlled by a time derivative */
} else {
for (iEqn = 0; iEqn < update[iBody].iNumEqns[iVar]; iEqn++) {
if (update[iBody].iaType[iVar][iEqn] == 2) {
update[iBody].daDerivProc[iVar][iEqn] =
fnUpdate[iBody][iVar][iEqn](
body, system, update[iBody].iaBody[iVar][iEqn]);
// if (update[iBody].daDerivProc[iVar][iEqn] != 0 &&
// *(update[iBody].pdVar[iVar]) != 0) {
if (update[iBody].daDerivProc[iVar][iEqn] != 0) {
/* ?Obl require special treatment because they can
overconstrain obliquity and PrecA */
if (iVar == update[iBody].iXobl ||
iVar == update[iBody].iYobl ||
iVar == update[iBody].iZobl) {
if (body[iBody].dObliquity != 0) {
dMinNow = fabs(sin(body[iBody].dObliquity) /
update[iBody].daDerivProc[iVar][iEqn]);
} else { // Obliquity is 0, so its evolution shouldn't impact
// the timestep
dMinNow = dHUGE;
}
} else if (iVar == update[iBody].iHecc ||
iVar == update[iBody].iKecc) {
if (body[iBody].dEcc != 0) {
dMinNow = fabs(body[iBody].dEcc /
update[iBody].daDerivProc[iVar][iEqn]);
} else { // Eccentricity is 0, so its evolution shouldn't
// impact the timestep
dMinNow = dHUGE;
}
} else {
dMinNow = fabs(1.0 / update[iBody].daDerivProc[iVar][iEqn]);
}
if (dMinNow < dMin) {
dMin = dMinNow;
}
}
// enforce a minimum step size for ice sheets, otherwise dDt -> 0
// real fast
} else if (update[iBody].iaType[iVar][iEqn] == 9) {
update[iBody].daDerivProc[iVar][iEqn] =
fnUpdate[iBody][iVar][iEqn](
body, system, update[iBody].iaBody[iVar][iEqn]);
if (update[iBody].daDerivProc[iVar][iEqn] != 0 &&
*(update[iBody].pdVar[iVar]) != 0) {
dMinNow = fabs((*(update[iBody].pdVar[iVar])) /
update[iBody].daDerivProc[iVar][iEqn]);
if (dMinNow < dMin) {
if (dMinNow < control->Halt[iBody].iMinIceDt *
(2 * PI / body[iBody].dMeanMotion) /
control->Evolve.dEta) {
dMin = control->Halt[iBody].iMinIceDt *
(2 * PI / body[iBody].dMeanMotion) /
control->Evolve.dEta;
} else {
dMin = dMinNow;
}
}
}
/* SpiNBody timestep: As x,y,z can cross over 0, the usual
x/(dx/dt) timstep doesn't work. This version compares the
orbital
radius to velocity. Probably room for improvement here. */
} else if (update[iBody].iaType[iVar][iEqn] == 7) {
if ((control->Evolve.bSpiNBodyDistOrb == 0) ||
(control->Evolve.bUsingSpiNBody == 1)) {
update[iBody].daDerivProc[iVar][iEqn] =
fnUpdate[iBody][iVar][iEqn](
body, system, update[iBody].iaBody[iVar][iEqn]);
dMinNow =
sqrt((body[iBody].dPositionX * body[iBody].dPositionX +
body[iBody].dPositionY * body[iBody].dPositionY +
body[iBody].dPositionZ * body[iBody].dPositionZ) /
(body[iBody].dVelX * body[iBody].dVelX +
body[iBody].dVelY * body[iBody].dVelY +
body[iBody].dVelZ * body[iBody].dVelZ));
if (dMinNow < dMin) {
dMin = dMinNow;
}
}
} else {
// The parameter is controlled by a time derivative
update[iBody].daDerivProc[iVar][iEqn] =
fnUpdate[iBody][iVar][iEqn](
body, system, update[iBody].iaBody[iVar][iEqn]);
if (!bFloatComparison(update[iBody].daDerivProc[iVar][iEqn],
0.0) &&
!bFloatComparison(*(update[iBody].pdVar[iVar]), 0.0)) {
dMinNow = fabs((*(update[iBody].pdVar[iVar])) /
update[iBody].daDerivProc[iVar][iEqn]);
if (dMinNow < dMin) {
dMin = dMinNow;
}
}
}
} // for loop
} // else polar/sinusoidal
} // for iNumVars
} // if (update[iBody].iNumVars > 0)
} // for loop iNumBodies
return dMin;
}
void fdGetUpdateInfo(BODY *body, CONTROL *control, SYSTEM *system,
UPDATE *update, fnUpdateVariable ***fnUpdate) {
/* Fills the Update arrays with the derivatives
* or new values..
*/
int iBody, iVar, iEqn, iNumBodies, iNumVars,
iNumEqns; // Dummy counting variables
EVOLVE
integr; // Dummy EVOLVE struct so we don't have to dereference control a lot
double dVarNow, dMinNow, dMin = dHUGE,
dVarTotal; // Intermediate storage variables
integr = control->Evolve;
iNumBodies = control->Evolve.iNumBodies;
for (iBody = 0; iBody < iNumBodies; iBody++) {
if (update[iBody].iNumVars > 0) {
iNumVars = update[iBody].iNumVars;
for (iVar = 0; iVar < iNumVars; iVar++) {
iNumEqns = update[iBody].iNumEqns[iVar];
for (iEqn = 0; iEqn < iNumEqns; iEqn++) {
update[iBody].daDerivProc[iVar][iEqn] = fnUpdate[iBody][iVar][iEqn](
body, system, update[iBody].iaBody[iVar][iEqn]);
}
}
}
}
}
void EulerStep(BODY *body, CONTROL *control, SYSTEM *system, UPDATE *update,
fnUpdateVariable ***fnUpdate, double *dDt, int iDir) {
/* Compute and apply an Euler update step to a given parameter (x = dx/dt *
* dt) */
int iBody, iVar, iEqn;
double dFoo;
/* Adjust dt? */
if (control->Evolve.bVarDt) {
/* dDt is the dynamical timescale */
*dDt = fdGetTimeStep(body, control, system, update, fnUpdate);
*dDt = AssignDt(*dDt, (control->Io.dNextOutput - control->Evolve.dTime),
control->Evolve.dEta);
}
for (iBody = 0; iBody < control->Evolve.iNumBodies; iBody++) {
for (iVar = 0; iVar < update[iBody].iNumVars; iVar++) {
for (iEqn = 0; iEqn < update[iBody].iNumEqns[iVar]; iEqn++) {
if (update[iBody].iaType[iVar][iEqn] == 0) {
*(update[iBody].pdVar[iVar]) = update[iBody].daDerivProc[iVar][iEqn];
} else {
/* Update the parameter in the BODY struct! Be careful! */
*(update[iBody].pdVar[iVar]) +=
iDir * update[iBody].daDerivProc[iVar][iEqn] * (*dDt);
}
}
}
}
}
void RungeKutta4Step(BODY *body, CONTROL *control, SYSTEM *system,
UPDATE *update, fnUpdateVariable ***fnUpdate, double *dDt,
int iDir) {
/* Compute and apply a 4th order Runge-Kutta update step a given parameter. */
int iBody, iVar, iEqn, iSubStep, iNumBodies, iNumVars, iNumEqns;
double dFoo, dDelta;
EVOLVE *evolve = &(
control->Evolve); // Save Evolve as a variable for speed and legibility
/* Create a copy of BODY array */
BodyCopy(evolve->tmpBody, body, &control->Evolve);
/* Derivatives at start */
*dDt = fdGetTimeStep(body, control, system, control->Evolve.tmpUpdate,
fnUpdate);
/* Adjust dt? */
if (evolve->bVarDt) {
/* This is minimum dynamical timescale */
*dDt = AssignDt(*dDt, (control->Io.dNextOutput - evolve->dTime),
evolve->dEta);
} else {
*dDt = evolve->dTimeStep;
}
evolve->dCurrentDt = *dDt;
iNumBodies = evolve->iNumBodies;
#pragma omp parallel for num_threads(NUM_THREADS) private(iNumVars, iNumEqns, \
iVar, iEqn)
for (iBody = 0; iBody < iNumBodies; iBody++) {
// int thread_num = omp_get_thread_num();
// int cpu_num = sched_getcpu();
// printf("Thread %3d is running on CPU %3d\n", thread_num, cpu_num);
double daDerivVar;
iNumVars = update[iBody].iNumVars;
for (iVar = 0; iVar < iNumVars; iVar++) {
daDerivVar = 0;
iNumEqns = update[iBody].iNumEqns[iVar];
for (iEqn = 0; iEqn < iNumEqns; iEqn++) {
daDerivVar += iDir * evolve->tmpUpdate[iBody].daDerivProc[iVar][iEqn];
}
evolve->daDeriv[0][iBody][iVar] = daDerivVar;
}
}
for (iBody = 0; iBody < iNumBodies; iBody++) {
iNumVars = update[iBody].iNumVars;
for (iVar = 0; iVar < iNumVars; iVar++) {
if (update[iBody].iaType[iVar][0] == 0 ||
update[iBody].iaType[iVar][0] == 3 ||
update[iBody].iaType[iVar][0] == 10) {
// LUGER: Note that this is the VALUE of the variable getting passed,
// contrary to what the names suggest These values are updated in the
// tmpUpdate struct so that equations which are dependent upon them will
// be evaluated with higher accuracy
*(evolve->tmpUpdate[iBody].pdVar[iVar]) =
evolve->daDeriv[0][iBody][iVar];
} else {
/* While we're in this loop, move each parameter to the midpoint of the
* timestep */
*(evolve->tmpUpdate[iBody].pdVar[iVar]) =
*(update[iBody].pdVar[iVar]) +
0.5 * (*dDt) * evolve->daDeriv[0][iBody][iVar];
}
}
}
/* First midpoint derivative.*/
PropertiesAuxiliary(evolve->tmpBody, control, system, update);
fdGetUpdateInfo(evolve->tmpBody, control, system, evolve->tmpUpdate,
fnUpdate);
#pragma omp parallel for num_threads(NUM_THREADS) private(iNumVars, iNumEqns, \
iVar, iEqn)
for (iBody = 0; iBody < iNumBodies; iBody++) {
iNumVars = update[iBody].iNumVars;
double daDerivVar;
for (iVar = 0; iVar < iNumVars; iVar++) {
daDerivVar = 0;
iNumEqns = update[iBody].iNumEqns[iVar];
for (iEqn = 0; iEqn < iNumEqns; iEqn++) {
daDerivVar += iDir * evolve->tmpUpdate[iBody].daDerivProc[iVar][iEqn];
// evolve->daTmpVal[0][iBody][iVar] +=
// (*dDt)*iDir*evolve->tmpUpdate[iBody].daDeriv[iVar][iEqn];
}
evolve->daDeriv[1][iBody][iVar] = daDerivVar;
}
}
for (iBody = 0; iBody < iNumBodies; iBody++) {
iNumVars = update[iBody].iNumVars;
for (iVar = 0; iVar < iNumVars; iVar++) {
if (update[iBody].iaType[iVar][0] == 0 ||
update[iBody].iaType[iVar][0] == 3 ||
update[iBody].iaType[iVar][0] == 10) {
// LUGER: Note that this is the VALUE of the variable getting passed,
// contrary to what the names suggest These values are updated in the
// tmpUpdate struct so that equations which are dependent upon them will
// be evaluated with higher accuracy
*(evolve->tmpUpdate[iBody].pdVar[iVar]) =
evolve->daDeriv[1][iBody][iVar];
} else {
/* While we're in this loop, move each parameter to the midpoint
of the timestep based on the midpoint derivative. */
*(evolve->tmpUpdate[iBody].pdVar[iVar]) =
*(update[iBody].pdVar[iVar]) +
0.5 * (*dDt) * evolve->daDeriv[1][iBody][iVar];
}
}
}
/* Second midpoint derivative */
PropertiesAuxiliary(evolve->tmpBody, control, system, update);
fdGetUpdateInfo(evolve->tmpBody, control, system, evolve->tmpUpdate,
fnUpdate);
#pragma omp parallel for num_threads(NUM_THREADS) private(iNumVars, iNumEqns, \
iVar, iEqn)
for (iBody = 0; iBody < iNumBodies; iBody++) {
iNumVars = update[iBody].iNumVars;
double daDerivVar;
for (iVar = 0; iVar < iNumVars; iVar++) {
daDerivVar = 0;
iNumEqns = update[iBody].iNumEqns[iVar];
for (iEqn = 0; iEqn < iNumEqns; iEqn++) {
daDerivVar += iDir * evolve->tmpUpdate[iBody].daDerivProc[iVar][iEqn];
// evolve->daTmpVal[0][iBody][iVar] +=
// (*dDt)*iDir*evolve->tmpUpdate[iBody].daDeriv[iVar][iEqn];
}
evolve->daDeriv[2][iBody][iVar] = daDerivVar;
}
}
for (iBody = 0; iBody < iNumBodies; iBody++) {
iNumVars = update[iBody].iNumVars;
for (iVar = 0; iVar < iNumVars; iVar++) {
if (update[iBody].iaType[iVar][0] == 0 ||
update[iBody].iaType[iVar][0] == 3 ||
update[iBody].iaType[iVar][0] == 10) {
// LUGER: Note that this is the VALUE of the variable getting passed,
// contrary to what the names suggest These values are updated in the
// tmpUpdate struct so that equations which are dependent upon them will
// be evaluated with higher accuracy
*(evolve->tmpUpdate[iBody].pdVar[iVar]) =
evolve->daDeriv[2][iBody][iVar];
} else {
/* While we're in this loop, move each parameter to the end of
the timestep based on the second midpoint derivative. */
*(evolve->tmpUpdate[iBody].pdVar[iVar]) =
*(update[iBody].pdVar[iVar]) +
*dDt * evolve->daDeriv[2][iBody][iVar];
}
}
}
/* Full step derivative */
PropertiesAuxiliary(evolve->tmpBody, control, system, update);
fdGetUpdateInfo(evolve->tmpBody, control, system, evolve->tmpUpdate,
fnUpdate);
#pragma omp parallel for num_threads(NUM_THREADS) private(iNumVars, iNumEqns, \
iVar, iEqn)
for (iBody = 0; iBody < iNumBodies; iBody++) {
double daDerivVar;
iNumVars = update[iBody].iNumVars;
for (iVar = 0; iVar < iNumVars; iVar++) {
daDerivVar = 0;
if (update[iBody].iaType[iVar][0] == 0 ||
update[iBody].iaType[iVar][0] == 3 ||
update[iBody].iaType[iVar][0] == 10) {
// NOTHING!
} else {
evolve->daDeriv[3][iBody][iVar] = 0;
iNumEqns = update[iBody].iNumEqns[iVar];
for (iEqn = 0; iEqn < iNumEqns; iEqn++) {
daDerivVar += iDir * evolve->tmpUpdate[iBody].daDerivProc[iVar][iEqn];
}
evolve->daDeriv[3][iBody][iVar] = daDerivVar;
}
}
}
/* Now do the update -- Note the pointer to the home of the actual
* variables!!! */
for (iBody = 0; iBody < iNumBodies; iBody++) {
iNumVars = update[iBody].iNumVars;
for (iVar = 0; iVar < iNumVars; iVar++) {
update[iBody].daDeriv[iVar] = 1. / 6 *
(evolve->daDeriv[0][iBody][iVar] +
2 * evolve->daDeriv[1][iBody][iVar] +
2 * evolve->daDeriv[2][iBody][iVar] +
evolve->daDeriv[3][iBody][iVar]);
if (update[iBody].iaType[iVar][0] == 0 ||
update[iBody].iaType[iVar][0] == 3 ||
update[iBody].iaType[iVar][0] == 10) {
// LUGER: Note that this is the VALUE of the variable getting passed,
// contrary to what the names suggest
*(update[iBody].pdVar[iVar]) = evolve->daDeriv[0][iBody][iVar];
} else {
*(update[iBody].pdVar[iVar]) += update[iBody].daDeriv[iVar] * (*dDt);
}
}
}
}
/*
* Evolution Subroutine
*/
void Evolve(BODY *body, CONTROL *control, FILES *files, MODULE *module,
OUTPUT *output, SYSTEM *system, UPDATE *update,
fnUpdateVariable ***fnUpdate, fnWriteOutput *fnWrite,
fnIntegrate fnOneStep) {
/* Master evolution routine that controls the simulation integration. */
int iDir, iBody, iModule, nSteps; // Dummy counting variables
double dDt, dFoo; // Next timestep, dummy variable
double dEqSpinRate; // Store the equilibrium spin rate
nSteps = 0;
if (control->Evolve.bDoForward) {
iDir = 1;
} else {
iDir = -1;
}
PropertiesAuxiliary(body, control, system, update);
control->Io.dNextOutput = control->Evolve.dTime + control->Io.dOutputTime;
// Get derivatives at start, useful for logging
dDt = fdGetTimeStep(body, control, system, update, fnUpdate);
/* Adjust dt? */
if (control->Evolve.bVarDt) {
/* Now choose the correct timestep */
dDt = AssignDt(dDt, (control->Io.dNextOutput - control->Evolve.dTime),
control->Evolve.dEta);
} else {
dDt = control->Evolve.dTimeStep;
}
/* Write out initial conditions */
WriteOutput(body, control, files, output, system, update, fnWrite,
control->Evolve.dTime, dDt);
/* If Runge-Kutta need to copy actual update to that in
control->Evolve. This transfer all the meta-data about the
struct. */
UpdateCopy(control->Evolve.tmpUpdate, update, control->Evolve.iNumBodies);
/*
*
* Main loop begins here
*
*/
while (control->Evolve.dTime < control->Evolve.dStopTime) {
/* Take one step */
fnOneStep(body, control, system, update, fnUpdate, &dDt, iDir);
for (iBody = 0; iBody < control->Evolve.iNumBodies; iBody++) {
for (iModule = 0; iModule < control->Evolve.iNumModules[iBody];
iModule++) {
control->fnForceBehavior[iBody][iModule](body, module, &control->Evolve,
&control->Io, system, update,
fnUpdate, iBody, iModule);
}
for (iModule = 0; iModule < control->iNumMultiForce[iBody]; iModule++) {
control->fnForceBehaviorMulti[iBody][iModule](
body, module, &control->Evolve, &control->Io, system, update,
fnUpdate, iBody, iModule);
}
}
fdGetUpdateInfo(body, control, system, update, fnUpdate);
/* Halt? */
if (fbCheckHalt(body, control, update, fnUpdate)) {
fdGetUpdateInfo(body, control, system, update, fnUpdate);
WriteOutput(body, control, files, output, system, update, fnWrite,
control->Evolve.dTime,
control->Io.dOutputTime / control->Evolve.nSteps);
return;
}
for (iBody = 0; iBody < control->Evolve.iNumBodies; iBody++) {
body[iBody].dAge += iDir * dDt;
}
control->Evolve.dTime += dDt;
nSteps++;
/* Time for Output? */
if (control->Evolve.dTime >= control->Io.dNextOutput) {
control->Evolve.nSteps += nSteps;
WriteOutput(body, control, files, output, system, update, fnWrite,
control->Evolve.dTime,
control->Io.dOutputTime / control->Evolve.nSteps);
// Timesteps are synchronized with the output time, so this statement is
// sufficient
control->Io.dNextOutput += control->Io.dOutputTime;
nSteps = 0;
}
/* Get auxiliary properties for next step -- first call
was prior to loop. */
PropertiesAuxiliary(body, control, system, update);
// If control->Evolve.bFirstStep hasn't been switched off by now, do so.
if (control->Evolve.bFirstStep) {
control->Evolve.bFirstStep = 0;
}
// Any variables reached an interesting value?
CheckProgress(body, control, system, update);
}
if (control->Io.iVerbose >= VERBPROG) {
printf("Evolution completed.\n");
}
// printf("%d\n",body[1].iBadImpulse);
}
|
sample_nested.c | /* -*- Mode: C; c-basic-offset:4 ; indent-tabs-mode:nil ; -*- */
/*
* See LICENSE.txt in top-level directory.
*/
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
int main(int argc, char *argv[]) {
int size = (argc > 1) ? atoi(argv[1]) : 100;
int i, j;
int nthreads;
struct timeval t_start, t_end;
double time;
double *a = (double *)malloc(sizeof(double) * size * size);
#pragma omp parallel
{ nthreads = omp_get_num_threads(); }
for (i = 0; i < size * size; i++) {
a[i] = i;
}
gettimeofday(&t_start, NULL);
#pragma omp parallel for
for (i = 0; i < size; i++) {
#pragma omp parallel for
for (j = 0; j < size; j++) {
a[i * size + j] = a[i * size + j] * 0.9;
}
}
gettimeofday(&t_end, NULL);
time = (t_end.tv_sec * 1000000 + t_end.tv_usec) -
(t_start.tv_sec * 1000000 + t_start.tv_usec);
printf("%d %f\n", nthreads, time / 1000000.0);
for (i = 0; i < size * size; i++) {
if (a[i] != i * 0.9) {
printf("a[%d]=%f\n", i, a[i]);
return 1;
}
}
free(a);
}
|
DOT_R2_Solver.h | /**
* @fileoverview Copyright (c) 2019, Stefano Gualandi,
* via Ferrata, 1, I-27100, Pavia, Italy
*
* @author stefano.gualandi@gmail.com (Stefano Gualandi)
*
*/
#pragma once
#include <omp.h>
#include <cassert>
#include <chrono>
#include <cinttypes>
#include <fstream>
#include <limits>
#include <random>
#include <sstream>
#include <vector>
using std::vector;
#include <array>
using std::array;
#include "DOT_DotSimplex.h"
#include "DOT_Vars.h"
// Distance function between a pair of point in R^k
inline constexpr auto DISTANCE_R2(const double* x, const double* y) {
return (x[0] - y[0]) * (x[0] - y[0]) + (x[1] - y[1]) * (x[1] - y[1]);
}
namespace DOT {
namespace R2 {
// Container for general discrete measure
template <typename FlowType = int, typename PosType = double>
class GMeasureR2 {
public:
GMeasureR2() {}
// Read from file (e.g., DOTMark images)
GMeasureR2(const std::string& filename) { readFromFile(filename); }
// setter
void reserve(size_t n) {
Ws.reserve(n);
Ps.reserve(2 * n);
}
void add(FlowType _w, PosType _p1, PosType _p2) {
Ws.emplace_back(_w);
Ps.emplace_back(_p1);
Ps.emplace_back(_p2);
}
// Use as few memory as possible
void shrink_to_fit() {
Ws.shrink_to_fit();
Ps.shrink_to_fit();
}
// getters
size_t size() const { return Ws.size(); }
FlowType getW(size_t i) const { return Ws[i]; }
inline const PosType* getP(size_t i) const { return &Ps[2 * i]; }
// Parse from file
void readFromFile(const std::string& filename) {
std::ifstream in_file(filename);
if (!in_file) {
fprintf(stdout, "FATAL ERROR: Cannot open file %s", filename.c_str());
exit(EXIT_FAILURE);
}
// Read first line
auto read_row = [&](size_t i) {
int j = 0;
std::string line;
std::getline(in_file, line);
std::stringstream lineStream(line);
std::string cell;
while (std::getline(lineStream, cell, ',')) {
add(stoi(cell), i, j);
++j;
}
return j;
};
// Read first row, and return row length
int n = read_row(0);
reserve(n);
for (size_t i = 1; i < n; ++i) read_row(i);
in_file.close();
shrink_to_fit();
}
private:
vector<FlowType> Ws;
vector<PosType> Ps;
};
typedef GMeasureR2<int, double> MeasureR2;
MeasureR2 createRandom0N(size_t n, int seed = 13) {
MeasureR2 mu;
mu.reserve(n);
std::random_device
rd; // Will be used to obtain a seed for the random number engine
std::mt19937 gen(seed); // Standard mersenne_twister_engine seeded with rd()
std::uniform_real_distribution<> Uniform01(0, 1);
for (size_t i = 0; i < n; i++) mu.add(1, Uniform01(gen), Uniform01(gen));
return mu;
}
// Solve separation problem as single core problem
int solveSeparation(const MeasureR2& Mu, const vector<double>& U,
const MeasureR2& Nu, const vector<double>& V, Vars& vars,
double vmin) { // Avoid useless memory allocations
int m = Mu.size();
int n = Nu.size();
assert(m == vars.size());
int cmp = 0;
for (int i = 0; i < m; ++i) {
if (U[i] > FEASIBILITY_TOL + vmin) {
double best_v = -FEASIBILITY_TOL;
double best_c = -1;
int best_j = 0;
for (int j = 0; j < n; ++j) {
double violation = U[i] - V[j];
if (violation > -best_v) {
double c_ij = DISTANCE_R2(Mu.getP(i), Nu.getP(j));
cmp++;
violation = c_ij - violation;
if (violation < best_v) {
best_v = violation;
best_c = c_ij;
best_j = j;
// if (U[i] <= -best_v + vmin) break;
}
}
}
// Store most violated cuts for element i
vars[i].b = m + best_j;
vars[i].c = best_c;
}
}
// fprintf(stdout, "cmp: %d\n", cmp);
return cmp;
} // namespace R2
// Solve separation problem as multi core problem
void solveSeparationCore(const MeasureR2& Mu, const vector<double>& U,
const MeasureR2& Nu, const vector<double>& V,
Vars& vars,
double vmin) { // Avoid useless memory allocations
int m = Mu.size();
int n = Nu.size();
assert(m == vars.size());
#pragma omp parallel
{
#pragma omp for schedule(dynamic, 1)
for (int i = 0; i < m; ++i) {
// vars[i].c = -1;
if (U[i] > FEASIBILITY_TOL + vmin) {
double best_v = -FEASIBILITY_TOL;
double best_c = -1;
int best_j = 0;
for (int j = 0; j < n; ++j) {
double violation = U[i] - V[j];
if (violation > -best_v) {
double c_ij = DISTANCE_R2(Mu.getP(i), Nu.getP(j));
violation = c_ij - violation;
if (violation < best_v) {
best_v = violation;
best_c = c_ij;
best_j = j;
// if (U[i] <= -best_v + vmin) break;
}
}
}
// Store most violated cuts for element i
vars[i].b = m + best_j;
vars[i].c = best_c;
}
}
}
} // namespace R2
// void solveSeparationGPU(concurrency::array_view<double, 2> xv,
// vector<double>& U,
// concurrency::array_view<double, 2> yv,
// vector<double>& V, Vars& vars, int n, double vmin) {
// concurrency::array_view<double> Uv((int)U.size(), &U[0]);
// concurrency::array_view<double> Vv((int)V.size(), &V[0]);
//
// concurrency::array_view<Var> cv(vars.size(), vars);
// int m = U.size();
//
// concurrency::parallel_for_each(
// cv.extent, [=](concurrency::index<1> idx) restrict(amp) {
// if (Uv[idx[0]] > FEASIBILITY_TOL + vmin) {
// double best_v = -FEASIBILITY_TOL;
// double best_c = -1;
// int best_j = 0;
//
// for (int j = 0; j < n; ++j) {
// double violation = Uv[idx] - Vv[j];
// if (violation > -best_v) {
// double c_ij =
// (xv(0, idx[0]) - yv(0, j)) * (xv(0, idx[0]) - yv(0, j)) +
// (xv(1, idx[0]) - yv(1, j)) * (xv(1, idx[0]) - yv(1, j));
// violation = c_ij - violation;
// if (violation < best_v) {
// best_v = violation;
// best_c = c_ij;
// best_j = j;
// }
// }
// }
//
// // Store most violated cuts for element i
// cv[idx].b = m + best_j;
// cv[idx].c = best_c;
// }
// });
//
// try {
// cv.synchronize();
// } catch (const Concurrency::accelerator_view_removed& e) {
// fprintf(stdout, "solveSeparationGPU: %s\n", e.what());
// }
//}
//
// void solveSeparationGPUTile(concurrency::array_view<double, 2> xv,
// vector<double>& U,
// concurrency::array_view<double, 2> yv,
// vector<double>& V, Vars& vars, int n, double vmin)
// {
// concurrency::array_view<double> Uv((int)U.size(), &U[0]);
// concurrency::array_view<double> Vv((int)V.size(), &V[0]);
//
// concurrency::array_view<Var> cv(vars.size(), vars);
//
// int m = U.size();
//
// static const int TS = 128;
// static const int TK = 2;
//
// concurrency::parallel_for_each(
// cv.extent.tile<TS>(),
// [=](concurrency::tiled_index<TS> t_idx) restrict(amp) {
// // Prepare shared tile
// int col = t_idx.local[0];
// // if (Uv[col] > FEASIBILITY_TOL + vmin) {
// int colGlobal = t_idx.global[0];
// tile_static double A[TK][TS];
// A[0][col] = xv(0, colGlobal);
// A[1][col] = xv(1, colGlobal);
// tile_static double Lu[TS];
// Lu[col] = Uv[colGlobal];
//
// // Local best cost
// int best_j = 0;
// double best_c = -1;
// double best_v = -FEASIBILITY_TOL;
//
// // Internal loop between pair of points
// for (int i = 0; i < n; i += TS) {
// tile_static double B[TK][TS];
// B[0][col] = yv(0, i + col);
// B[1][col] = yv(1, i + col);
// tile_static double Lv[TS];
// Lv[col] = Vv[i + col];
//
// t_idx.barrier.wait();
//
// for (int j = 0; j < TS; ++j) {
// double violation = Lu[col] - Lv[j];
// if (violation > -best_v) {
// double c_ij = (A[0][col] - B[0][j]) * (A[0][col] - B[0][j]) +
// (A[1][col] - B[1][j]) * (A[1][col] - B[1][j]);
// // Lower precision, but faster speed using float instead of
// // double We do not use it for improving numerical stability
// /*concurrency::fast_math::pow(A[0][col] - B[0][j], 2) +
// concurrency::fast_math::pow(A[1][col] - B[1][j],
// 2);*/
// violation = c_ij - violation;
// if (violation < best_v) {
// best_v = violation;
// best_c = c_ij;
// best_j = i + j;
// }
// }
// }
//
// t_idx.barrier.wait();
// }
//
// // Store most violated cuts for element i
// cv[colGlobal].b = m + best_j;
// cv[colGlobal].c = best_c;
// //}
// });
//
// try {
// cv.synchronize();
// } catch (const Concurrency::accelerator_view_removed& e) {
// fprintf(stdout, "solveSeparationGPUTile: %s\n", e.what());
// }
//}
// Compute Kantorovich-Wasserstein distance between two measures
void DenseTransportationLP(const MeasureR2& Mu, const MeasureR2& Nu, int algo,
const std::string& msg) {
// Timinig output
auto start = std::chrono::high_resolution_clock::now();
start = std::chrono::high_resolution_clock::now();
int m = (int)Mu.size();
int n = (int)Nu.size();
typedef double CostType;
typedef int64_t FlowType;
// Build the graph for min cost flow
DotSimplex<FlowType, CostType> simplex(n + m);
// add first d source nodes
for (int i = 0; i < m; ++i) simplex.addNode(i, +FlowType(Mu.getW(i)));
for (int j = 0; j < n; ++j) simplex.addNode(m + j, -FlowType(Nu.getW(j)));
simplex.resizeArcMemory(size_t(n * m));
#pragma omp parallel
{
#pragma omp for schedule(static, m)
for (int i = 0; i < m; ++i)
for (int j = 0; j < n; ++j)
simplex.setArc(i * m + j, i, m + j,
DISTANCE_R2(Mu.getP(i), Nu.getP(j)));
}
//// Solve the problem to compute the distance
DotSimplex<FlowType, CostType>::ProblemType status = simplex.run();
switch (status) {
case DotSimplex<>::INFEASIBLE:
fprintf(stdout, "INFEASIBLE\n");
break;
case DotSimplex<>::OPTIMAL:
break;
case DotSimplex<>::UNBOUNDED:
fprintf(stdout, "UNBOUNDED\n");
break;
}
CostType fobj = simplex.totalCost();
auto end = std::chrono::high_resolution_clock::now();
double elapsed =
double(std::chrono::duration_cast<std::chrono::milliseconds>(end - start)
.count()) /
1000;
fprintf(stdout, "%s %d %d Runtime %.6f Value %.6f status %d RAM %.2f\n",
msg.c_str(), n, simplex.num_arcs(), elapsed, fobj, status,
getUsedRAM());
fflush(stdout);
}
// Compute Kantorovich-Wasserstein distance between two measures
void ColumnGeneration(const MeasureR2& Mu, const MeasureR2& Nu, int algo,
const std::string& msg) {
int m = (int)Mu.size();
int n = (int)Nu.size();
// Timinig output
auto start = std::chrono::high_resolution_clock::now();
auto end = std::chrono::high_resolution_clock::now();
double elapsed = getMs(start, end);
start = std::chrono::high_resolution_clock::now();
// Solve the problem
typedef double CostType;
typedef int64_t FlowType;
// Build the graph for min cost flow
DotSimplex<FlowType, CostType> simplex(n + m);
// add first d source nodes
for (int i = 0; i < m; ++i) simplex.addNode(i, +FlowType(Mu.getW(i)));
for (int j = 0; j < n; ++j) simplex.addNode(m + j, -FlowType(Nu.getW(j)));
int it = 0;
int n_cuts = 0;
CostType fobj = 0;
double time_tot = 0;
double sep_tot = 0;
double mas_tot = 0;
int cmp_tot = 0;
vector<double> A(m, 0);
vector<double> B(n, 0);
DOT::Vars vars(m);
for (int i = 0; i < m; ++i) vars[i].a = i;
DOT::Vars vnew;
vnew.reserve(2 * size_t(m + n) + 1);
//// Support for GPU
// const size_t K = 2;
// vector<double> XView(K * Mu.size());
// for (int i = 0; i < m; ++i) {
// auto p = Mu.getP(i);
// for (int k = 0; k < K; ++k) XView[i + k * m] = p[k];
//}
// vector<double> YView(K * Nu.size());
// for (int i = 0; i < n; ++i) {
// auto p = Nu.getP(i);
// for (int k = 0; k < K; ++k) YView[i + k * m] = p[k];
//}
// concurrency::array_view<double, 2> xv(K, m, XView);
// concurrency::array_view<double, 2> yv(K, n, YView);
// Init the simplex
DotSimplex<FlowType, CostType>::ProblemType status = simplex.run();
// Start separation
while (true) {
start = std::chrono::high_resolution_clock::now();
DotSimplex<FlowType, CostType>::ProblemType status = simplex.reRun();
end = std::chrono::high_resolution_clock::now();
elapsed = getMs(start, end);
// Take the dual values
for (int i = 0; i < m; ++i) A[i] = -simplex.potential(i);
double umin = std::numeric_limits<double>::infinity();
for (int j = 0; j < n; ++j) {
B[j] = -simplex.potential(m + j);
umin = std::min<double>(umin, B[j]);
}
mas_tot += elapsed;
time_tot += elapsed;
// Solve separation problem (with timing)
auto sep_s = std::chrono::high_resolution_clock::now();
if (algo == 0) cmp_tot += solveSeparation(Mu, A, Nu, B, vars, umin);
if (algo == 1) solveSeparationCore(Mu, A, Nu, B, vars, umin);
// if (algo == 2) solveSeparationGPU(xv, A, yv, B, vars, n, umin);
// if (algo == 3) solveSeparationGPUTile(xv, A, yv, B, vars, n, umin);
auto sep_e = std::chrono::high_resolution_clock::now();
auto sep_elapsed = getMs(start, end);
sep_tot += sep_elapsed;
time_tot += sep_elapsed;
start = std::chrono::high_resolution_clock::now();
vnew.clear();
for (auto& v : vars) {
if (v.c > -1) vnew.push_back(v);
v.c = -1;
}
if (vnew.empty()) break;
std::sort(vnew.begin(), vnew.end(),
[](const auto& v, const auto& w) { return v.c > w.c; });
// Replace old constraints with new ones
int new_arcs = simplex.updateArcs(vnew);
end = std::chrono::high_resolution_clock::now();
elapsed += getMs(start, end);
mas_tot += elapsed;
time_tot += elapsed;
n_cuts += new_arcs;
fobj = simplex.totalCost();
// fprintf(stdout,
// "it %d: Time %.3f - Value: %.6f - NumRows: %d - SepTime: % .6f - "
// "GuTime: % .6f - Cuts: % d\n ",
// it, time_tot, fobj, simplex.num_arcs(), sep_elapsed, elapsed,
// new_arcs);
++it;
}
fobj = simplex.totalCost();
simplex.checkFeasibility();
end = std::chrono::high_resolution_clock::now();
elapsed = getMs(start, end);
fprintf(stdout,
"%s %d it %d FinalTime %.4f SepTime %.4f Master %.4f Value %.6f "
"AddedVars %d NumVars %d CmpTot %d CmpRatio %.2f RAM %.2f\n",
msg.c_str(), algo, it, time_tot, sep_tot, mas_tot, fobj, n_cuts,
simplex.num_arcs(), cmp_tot, double(cmp_tot) / double(n * m),
getUsedRAM());
fflush(stdout);
}
} // namespace R2
} // namespace DOT |
irbuilder_unroll_partial_factor_for.c | // NOTE: Assertions have been autogenerated by utils/update_cc_test_checks.py UTC_ARGS: --function-signature --include-generated-funcs
// RUN: %clang_cc1 -fopenmp-enable-irbuilder -verify -fopenmp -fopenmp-version=51 -x c -triple x86_64-unknown-unknown -emit-llvm %s -o - | FileCheck %s
// expected-no-diagnostics
#ifndef HEADER
#define HEADER
// CHECK-LABEL: define {{.*}}@unroll_partial_heuristic_for(
// CHECK-NEXT: [[ENTRY:.*]]:
// CHECK-NEXT: %[[N_ADDR:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[A_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[B_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[C_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[D_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[I:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[AGG_CAPTURED:.+]] = alloca %struct.anon, align 8
// CHECK-NEXT: %[[AGG_CAPTURED1:.+]] = alloca %struct.anon.0, align 4
// CHECK-NEXT: %[[DOTCOUNT_ADDR:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[P_LASTITER:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[P_LOWERBOUND:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[P_UPPERBOUND:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[P_STRIDE:.+]] = alloca i32, align 4
// CHECK-NEXT: store i32 %[[N:.+]], i32* %[[N_ADDR]], align 4
// CHECK-NEXT: store float* %[[A:.+]], float** %[[A_ADDR]], align 8
// CHECK-NEXT: store float* %[[B:.+]], float** %[[B_ADDR]], align 8
// CHECK-NEXT: store float* %[[C:.+]], float** %[[C_ADDR]], align 8
// CHECK-NEXT: store float* %[[D:.+]], float** %[[D_ADDR]], align 8
// CHECK-NEXT: store i32 0, i32* %[[I]], align 4
// CHECK-NEXT: %[[TMP0:.+]] = getelementptr inbounds %struct.anon, %struct.anon* %[[AGG_CAPTURED]], i32 0, i32 0
// CHECK-NEXT: store i32* %[[I]], i32** %[[TMP0]], align 8
// CHECK-NEXT: %[[TMP1:.+]] = getelementptr inbounds %struct.anon, %struct.anon* %[[AGG_CAPTURED]], i32 0, i32 1
// CHECK-NEXT: store i32* %[[N_ADDR]], i32** %[[TMP1]], align 8
// CHECK-NEXT: %[[TMP2:.+]] = getelementptr inbounds %struct.anon.0, %struct.anon.0* %[[AGG_CAPTURED1]], i32 0, i32 0
// CHECK-NEXT: %[[TMP3:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: store i32 %[[TMP3]], i32* %[[TMP2]], align 4
// CHECK-NEXT: call void @__captured_stmt(i32* %[[DOTCOUNT_ADDR]], %struct.anon* %[[AGG_CAPTURED]])
// CHECK-NEXT: %[[DOTCOUNT:.+]] = load i32, i32* %[[DOTCOUNT_ADDR]], align 4
// CHECK-NEXT: br label %[[OMP_LOOP_PREHEADER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_PREHEADER]]:
// CHECK-NEXT: %[[TMP4:.+]] = udiv i32 %[[DOTCOUNT]], 13
// CHECK-NEXT: %[[TMP5:.+]] = urem i32 %[[DOTCOUNT]], 13
// CHECK-NEXT: %[[TMP6:.+]] = icmp ne i32 %[[TMP5]], 0
// CHECK-NEXT: %[[TMP7:.+]] = zext i1 %[[TMP6]] to i32
// CHECK-NEXT: %[[OMP_FLOOR0_TRIPCOUNT:.+]] = add nuw i32 %[[TMP4]], %[[TMP7]]
// CHECK-NEXT: br label %[[OMP_FLOOR0_PREHEADER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_FLOOR0_PREHEADER]]:
// CHECK-NEXT: store i32 0, i32* %[[P_LOWERBOUND]], align 4
// CHECK-NEXT: %[[TMP8:.+]] = sub i32 %[[OMP_FLOOR0_TRIPCOUNT]], 1
// CHECK-NEXT: store i32 %[[TMP8]], i32* %[[P_UPPERBOUND]], align 4
// CHECK-NEXT: store i32 1, i32* %[[P_STRIDE]], align 4
// CHECK-NEXT: %[[OMP_GLOBAL_THREAD_NUM:.+]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @1)
// CHECK-NEXT: call void @__kmpc_for_static_init_4u(%struct.ident_t* @1, i32 %[[OMP_GLOBAL_THREAD_NUM]], i32 34, i32* %[[P_LASTITER]], i32* %[[P_LOWERBOUND]], i32* %[[P_UPPERBOUND]], i32* %[[P_STRIDE]], i32 1, i32 1)
// CHECK-NEXT: %[[TMP9:.+]] = load i32, i32* %[[P_LOWERBOUND]], align 4
// CHECK-NEXT: %[[TMP10:.+]] = load i32, i32* %[[P_UPPERBOUND]], align 4
// CHECK-NEXT: %[[TMP11:.+]] = sub i32 %[[TMP10]], %[[TMP9]]
// CHECK-NEXT: %[[TMP12:.+]] = add i32 %[[TMP11]], 1
// CHECK-NEXT: br label %[[OMP_FLOOR0_HEADER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_FLOOR0_HEADER]]:
// CHECK-NEXT: %[[OMP_FLOOR0_IV:.+]] = phi i32 [ 0, %[[OMP_FLOOR0_PREHEADER]] ], [ %[[OMP_FLOOR0_NEXT:.+]], %[[OMP_FLOOR0_INC:.+]] ]
// CHECK-NEXT: br label %[[OMP_FLOOR0_COND:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_FLOOR0_COND]]:
// CHECK-NEXT: %[[OMP_FLOOR0_CMP:.+]] = icmp ult i32 %[[OMP_FLOOR0_IV]], %[[TMP12]]
// CHECK-NEXT: br i1 %[[OMP_FLOOR0_CMP]], label %[[OMP_FLOOR0_BODY:.+]], label %[[OMP_FLOOR0_EXIT:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_FLOOR0_BODY]]:
// CHECK-NEXT: %[[TMP13:.+]] = add i32 %[[OMP_FLOOR0_IV]], %[[TMP9]]
// CHECK-NEXT: %[[TMP14:.+]] = icmp eq i32 %[[TMP13]], %[[OMP_FLOOR0_TRIPCOUNT]]
// CHECK-NEXT: %[[TMP15:.+]] = select i1 %[[TMP14]], i32 %[[TMP5]], i32 13
// CHECK-NEXT: br label %[[OMP_TILE0_PREHEADER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_TILE0_PREHEADER]]:
// CHECK-NEXT: br label %[[OMP_TILE0_HEADER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_TILE0_HEADER]]:
// CHECK-NEXT: %[[OMP_TILE0_IV:.+]] = phi i32 [ 0, %[[OMP_TILE0_PREHEADER]] ], [ %[[OMP_TILE0_NEXT:.+]], %[[OMP_TILE0_INC:.+]] ]
// CHECK-NEXT: br label %[[OMP_TILE0_COND:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_TILE0_COND]]:
// CHECK-NEXT: %[[OMP_TILE0_CMP:.+]] = icmp ult i32 %[[OMP_TILE0_IV]], %[[TMP15]]
// CHECK-NEXT: br i1 %[[OMP_TILE0_CMP]], label %[[OMP_TILE0_BODY:.+]], label %[[OMP_TILE0_EXIT:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_TILE0_BODY]]:
// CHECK-NEXT: %[[TMP16:.+]] = mul nuw i32 13, %[[TMP13]]
// CHECK-NEXT: %[[TMP17:.+]] = add nuw i32 %[[TMP16]], %[[OMP_TILE0_IV]]
// CHECK-NEXT: br label %[[OMP_LOOP_BODY:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_BODY]]:
// CHECK-NEXT: call void @__captured_stmt.1(i32* %[[I]], i32 %[[TMP17]], %struct.anon.0* %[[AGG_CAPTURED1]])
// CHECK-NEXT: %[[TMP18:.+]] = load float*, float** %[[B_ADDR]], align 8
// CHECK-NEXT: %[[TMP19:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: %[[IDXPROM:.+]] = sext i32 %[[TMP19]] to i64
// CHECK-NEXT: %[[ARRAYIDX:.+]] = getelementptr inbounds float, float* %[[TMP18]], i64 %[[IDXPROM]]
// CHECK-NEXT: %[[TMP20:.+]] = load float, float* %[[ARRAYIDX]], align 4
// CHECK-NEXT: %[[TMP21:.+]] = load float*, float** %[[C_ADDR]], align 8
// CHECK-NEXT: %[[TMP22:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: %[[IDXPROM2:.+]] = sext i32 %[[TMP22]] to i64
// CHECK-NEXT: %[[ARRAYIDX3:.+]] = getelementptr inbounds float, float* %[[TMP21]], i64 %[[IDXPROM2]]
// CHECK-NEXT: %[[TMP23:.+]] = load float, float* %[[ARRAYIDX3]], align 4
// CHECK-NEXT: %[[MUL:.+]] = fmul float %[[TMP20]], %[[TMP23]]
// CHECK-NEXT: %[[TMP24:.+]] = load float*, float** %[[D_ADDR]], align 8
// CHECK-NEXT: %[[TMP25:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: %[[IDXPROM4:.+]] = sext i32 %[[TMP25]] to i64
// CHECK-NEXT: %[[ARRAYIDX5:.+]] = getelementptr inbounds float, float* %[[TMP24]], i64 %[[IDXPROM4]]
// CHECK-NEXT: %[[TMP26:.+]] = load float, float* %[[ARRAYIDX5]], align 4
// CHECK-NEXT: %[[MUL6:.+]] = fmul float %[[MUL]], %[[TMP26]]
// CHECK-NEXT: %[[TMP27:.+]] = load float*, float** %[[A_ADDR]], align 8
// CHECK-NEXT: %[[TMP28:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: %[[IDXPROM7:.+]] = sext i32 %[[TMP28]] to i64
// CHECK-NEXT: %[[ARRAYIDX8:.+]] = getelementptr inbounds float, float* %[[TMP27]], i64 %[[IDXPROM7]]
// CHECK-NEXT: store float %[[MUL6]], float* %[[ARRAYIDX8]], align 4
// CHECK-NEXT: br label %[[OMP_TILE0_INC]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_TILE0_INC]]:
// CHECK-NEXT: %[[OMP_TILE0_NEXT]] = add nuw i32 %[[OMP_TILE0_IV]], 1
// CHECK-NEXT: br label %[[OMP_TILE0_HEADER]], !llvm.loop ![[LOOP3:[0-9]+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_TILE0_EXIT]]:
// CHECK-NEXT: br label %[[OMP_TILE0_AFTER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_TILE0_AFTER]]:
// CHECK-NEXT: br label %[[OMP_FLOOR0_INC]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_FLOOR0_INC]]:
// CHECK-NEXT: %[[OMP_FLOOR0_NEXT]] = add nuw i32 %[[OMP_FLOOR0_IV]], 1
// CHECK-NEXT: br label %[[OMP_FLOOR0_HEADER]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_FLOOR0_EXIT]]:
// CHECK-NEXT: call void @__kmpc_for_static_fini(%struct.ident_t* @1, i32 %[[OMP_GLOBAL_THREAD_NUM]])
// CHECK-NEXT: %[[OMP_GLOBAL_THREAD_NUM9:.+]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @1)
// CHECK-NEXT: call void @__kmpc_barrier(%struct.ident_t* @2, i32 %[[OMP_GLOBAL_THREAD_NUM9]])
// CHECK-NEXT: br label %[[OMP_FLOOR0_AFTER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_FLOOR0_AFTER]]:
// CHECK-NEXT: br label %[[OMP_LOOP_AFTER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_AFTER]]:
// CHECK-NEXT: ret void
// CHECK-NEXT: }
void unroll_partial_heuristic_for(int n, float *a, float *b, float *c, float *d) {
#pragma omp for
#pragma omp unroll partial(13)
for (int i = 0; i < n; i++) {
a[i] = b[i] * c[i] * d[i];
}
}
#endif // HEADER
// CHECK-LABEL: define {{.*}}@__captured_stmt(
// CHECK-NEXT: [[ENTRY:.*]]:
// CHECK-NEXT: %[[DISTANCE_ADDR:.+]] = alloca i32*, align 8
// CHECK-NEXT: %[[__CONTEXT_ADDR:.+]] = alloca %struct.anon*, align 8
// CHECK-NEXT: %[[DOTSTART:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTSTOP:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTSTEP:.+]] = alloca i32, align 4
// CHECK-NEXT: store i32* %[[DISTANCE:.+]], i32** %[[DISTANCE_ADDR]], align 8
// CHECK-NEXT: store %struct.anon* %[[__CONTEXT:.+]], %struct.anon** %[[__CONTEXT_ADDR]], align 8
// CHECK-NEXT: %[[TMP0:.+]] = load %struct.anon*, %struct.anon** %[[__CONTEXT_ADDR]], align 8
// CHECK-NEXT: %[[TMP1:.+]] = getelementptr inbounds %struct.anon, %struct.anon* %[[TMP0]], i32 0, i32 0
// CHECK-NEXT: %[[TMP2:.+]] = load i32*, i32** %[[TMP1]], align 8
// CHECK-NEXT: %[[TMP3:.+]] = load i32, i32* %[[TMP2]], align 4
// CHECK-NEXT: store i32 %[[TMP3]], i32* %[[DOTSTART]], align 4
// CHECK-NEXT: %[[TMP4:.+]] = getelementptr inbounds %struct.anon, %struct.anon* %[[TMP0]], i32 0, i32 1
// CHECK-NEXT: %[[TMP5:.+]] = load i32*, i32** %[[TMP4]], align 8
// CHECK-NEXT: %[[TMP6:.+]] = load i32, i32* %[[TMP5]], align 4
// CHECK-NEXT: store i32 %[[TMP6]], i32* %[[DOTSTOP]], align 4
// CHECK-NEXT: store i32 1, i32* %[[DOTSTEP]], align 4
// CHECK-NEXT: %[[TMP7:.+]] = load i32, i32* %[[DOTSTART]], align 4
// CHECK-NEXT: %[[TMP8:.+]] = load i32, i32* %[[DOTSTOP]], align 4
// CHECK-NEXT: %[[CMP:.+]] = icmp slt i32 %[[TMP7]], %[[TMP8]]
// CHECK-NEXT: br i1 %[[CMP]], label %[[COND_TRUE:.+]], label %[[COND_FALSE:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[COND_TRUE]]:
// CHECK-NEXT: %[[TMP9:.+]] = load i32, i32* %[[DOTSTOP]], align 4
// CHECK-NEXT: %[[TMP10:.+]] = load i32, i32* %[[DOTSTART]], align 4
// CHECK-NEXT: %[[SUB:.+]] = sub nsw i32 %[[TMP9]], %[[TMP10]]
// CHECK-NEXT: %[[TMP11:.+]] = load i32, i32* %[[DOTSTEP]], align 4
// CHECK-NEXT: %[[DIV:.+]] = udiv i32 %[[SUB]], %[[TMP11]]
// CHECK-NEXT: br label %[[COND_END:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[COND_FALSE]]:
// CHECK-NEXT: br label %[[COND_END]]
// CHECK-EMPTY:
// CHECK-NEXT: [[COND_END]]:
// CHECK-NEXT: %[[COND:.+]] = phi i32 [ %[[DIV]], %[[COND_TRUE]] ], [ 0, %[[COND_FALSE]] ]
// CHECK-NEXT: %[[TMP12:.+]] = load i32*, i32** %[[DISTANCE_ADDR]], align 8
// CHECK-NEXT: store i32 %[[COND]], i32* %[[TMP12]], align 4
// CHECK-NEXT: ret void
// CHECK-NEXT: }
// CHECK-LABEL: define {{.*}}@__captured_stmt.1(
// CHECK-NEXT: [[ENTRY:.*]]:
// CHECK-NEXT: %[[LOOPVAR_ADDR:.+]] = alloca i32*, align 8
// CHECK-NEXT: %[[LOGICAL_ADDR:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[__CONTEXT_ADDR:.+]] = alloca %struct.anon.0*, align 8
// CHECK-NEXT: store i32* %[[LOOPVAR:.+]], i32** %[[LOOPVAR_ADDR]], align 8
// CHECK-NEXT: store i32 %[[LOGICAL:.+]], i32* %[[LOGICAL_ADDR]], align 4
// CHECK-NEXT: store %struct.anon.0* %[[__CONTEXT:.+]], %struct.anon.0** %[[__CONTEXT_ADDR]], align 8
// CHECK-NEXT: %[[TMP0:.+]] = load %struct.anon.0*, %struct.anon.0** %[[__CONTEXT_ADDR]], align 8
// CHECK-NEXT: %[[TMP1:.+]] = getelementptr inbounds %struct.anon.0, %struct.anon.0* %[[TMP0]], i32 0, i32 0
// CHECK-NEXT: %[[TMP2:.+]] = load i32, i32* %[[TMP1]], align 4
// CHECK-NEXT: %[[TMP3:.+]] = load i32, i32* %[[LOGICAL_ADDR]], align 4
// CHECK-NEXT: %[[MUL:.+]] = mul i32 1, %[[TMP3]]
// CHECK-NEXT: %[[ADD:.+]] = add i32 %[[TMP2]], %[[MUL]]
// CHECK-NEXT: %[[TMP4:.+]] = load i32*, i32** %[[LOOPVAR_ADDR]], align 8
// CHECK-NEXT: store i32 %[[ADD]], i32* %[[TMP4]], align 4
// CHECK-NEXT: ret void
// CHECK-NEXT: }
// CHECK: ![[META0:[0-9]+]] = !{i32 1, !"wchar_size", i32 4}
// CHECK: ![[META1:[0-9]+]] = !{i32 7, !"openmp", i32 51}
// CHECK: ![[META2:[0-9]+]] =
// CHECK: ![[LOOP3]] = distinct !{![[LOOP3]], ![[LOOPPROP4:[0-9]+]], ![[LOOPPROP5:[0-9]+]]}
// CHECK: ![[LOOPPROP4]] = !{!"llvm.loop.unroll.enable"}
// CHECK: ![[LOOPPROP5]] = !{!"llvm.loop.unroll.count", i32 13}
|
aalloc.c | #include "aalloc.h"
fint salloc2_(const fnat m[static restrict 1], const fnat n[static restrict 1], float **const restrict A, fnat ldA[static restrict 1])
{
if (A)
*A = (float*)NULL;
*ldA = 0u;
if (!*m)
return 0;
if (!*n)
return 0;
const fnat k = *m & VSL_1;
*ldA = (k ? (*m + (VSL - k)) : *m);
if (A) {
const size_t s = (*n) * ((*ldA) * sizeof(float));
*A = (float*)aligned_alloc(VA, s);
if (!*A)
return -3;
#ifdef _OPENMP
#pragma omp parallel for default(none) shared(n,A,ldA)
#endif /* ?_OPENMP */
for (fnat j = 0u; j < *n; ++j) {
register const VS z = _mm512_setzero_ps();
float *const Aj = *A + j * (size_t)(*ldA);
for (fnat i = 0u; i < *ldA; i += VSL)
_mm512_store_ps((Aj + i), z);
}
}
#ifdef _OPENMP
return 1;
#else /* !_OPENMP */
return 0;
#endif /* ?_OPENMP */
}
fint dalloc2_(const fnat m[static restrict 1], const fnat n[static restrict 1], double **const restrict A, fnat ldA[static restrict 1])
{
if (A)
*A = (double*)NULL;
*ldA = 0u;
if (!*m)
return 0;
if (!*n)
return 0;
const fnat k = *m & VDL_1;
*ldA = (k ? (*m + (VDL - k)) : *m);
if (A) {
const size_t s = (*n) * ((*ldA) * sizeof(double));
*A = (double*)aligned_alloc(VA, s);
if (!*A)
return -3;
#ifdef _OPENMP
#pragma omp parallel for default(none) shared(n,A,ldA)
#endif /* ?_OPENMP */
for (fnat j = 0u; j < *n; ++j) {
register const VD z = _mm512_setzero_pd();
double *const Aj = *A + j * (size_t)(*ldA);
for (fnat i = 0u; i < *ldA; i += VDL)
_mm512_store_pd((Aj + i), z);
}
}
#ifdef _OPENMP
return 1;
#else /* !_OPENMP */
return 0;
#endif /* ?_OPENMP */
}
fint calloc2_(const fnat m[static restrict 1], const fnat n[static restrict 1], float complex **const restrict A, fnat ldA[static restrict 1], float **const restrict Ar, fnat ldAr[static restrict 1], float **const restrict Ai, fnat ldAi[static restrict 1])
{
if (A)
*A = (float complex*)NULL;
*ldA = 0u;
if (Ar)
*Ar = (float*)NULL;
*ldAr = 0u;
if (Ai)
*Ai = (float*)NULL;
*ldAi = 0u;
if (!*m)
return 0;
if (!*n)
return 0;
const fnat k = *m & VSL__2;
*ldA = (k ? (*m + (VSL_2 - k)) : *m);
if (A) {
const size_t s = (*n) * ((*ldA) * sizeof(float complex));
*A = (float complex*)aligned_alloc(VA, s);
if (!*A)
return -3;
#ifdef _OPENMP
#pragma omp parallel for default(none) shared(n,A,ldA)
#endif /* ?_OPENMP */
for (fnat j = 0u; j < *n; ++j) {
register const VS z = _mm512_setzero_ps();
float complex *const Aj = *A + j * (size_t)(*ldA);
for (fnat i = 0u; i < *ldA; i += VSL_2)
_mm512_store_ps((Aj + i), z);
}
}
if (salloc2_(m, n, Ar, ldAr) < 0)
return -5;
if (salloc2_(m, n, Ai, ldAi) < 0)
return -7;
#ifdef _OPENMP
return 1;
#else /* !_OPENMP */
return 0;
#endif /* ?_OPENMP */
}
fint zalloc2_(const fnat m[static restrict 1], const fnat n[static restrict 1], double complex **const restrict A, fnat ldA[static restrict 1], double **const restrict Ar, fnat ldAr[static restrict 1], double **const restrict Ai, fnat ldAi[static restrict 1])
{
if (A)
*A = (double complex*)NULL;
*ldA = 0u;
if (Ar)
*Ar = (double*)NULL;
*ldAr = 0u;
if (Ai)
*Ai = (double*)NULL;
*ldAi = 0u;
if (!*m)
return 0;
if (!*n)
return 0;
const fnat k = *m & VDL__2;
*ldA = (k ? (*m + (VDL_2 - k)) : *m);
if (A) {
const size_t s = (*n) * ((*ldA) * sizeof(double complex));
*A = (double complex*)aligned_alloc(VA, s);
if (!*A)
return -3;
#ifdef _OPENMP
#pragma omp parallel for default(none) shared(n,A,ldA)
#endif /* ?_OPENMP */
for (fnat j = 0u; j < *n; ++j) {
register const VD z = _mm512_setzero_pd();
double complex *const Aj = *A + j * (size_t)(*ldA);
for (fnat i = 0u; i < *ldA; i += VDL_2)
_mm512_store_pd((Aj + i), z);
}
}
if (dalloc2_(m, n, Ar, ldAr) < 0)
return -5;
if (dalloc2_(m, n, Ai, ldAi) < 0)
return -7;
#ifdef _OPENMP
return 1;
#else /* !_OPENMP */
return 0;
#endif /* ?_OPENMP */
}
void czfree_(void **const A)
{
if (A) {
if (*A) {
free(*A);
*A = NULL;
}
}
}
|
channel.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC H H AAA N N N N EEEEE L %
% C H H A A NN N NN N E L %
% C HHHHH AAAAA N N N N N N EEE L %
% C H H A A N NN N NN E L %
% CCCC H H A A N N N N EEEEE LLLLL %
% %
% %
% MagickCore Image Channel Methods %
% %
% Software Design %
% Cristy %
% December 2003 %
% %
% %
% Copyright 1999-2014 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% http://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/cache-private.h"
#include "MagickCore/channel.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/enhance.h"
#include "MagickCore/image.h"
#include "MagickCore/list.h"
#include "MagickCore/log.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/token.h"
#include "MagickCore/utility.h"
#include "MagickCore/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C h a n n e l F x I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ChannelFxImage() applies a channel expression to the specified image. The
% expression consists of one or more channels, either mnemonic or numeric (e.g.
% red, 1), separated by actions as follows:
%
% <=> exchange two channels (e.g. red<=>blue)
% => copy one channel to another channel (e.g. red=>green)
% = assign a constant value to a channel (e.g. red=50%)
% , write new image channels in the specified order (e.g. red, green)
% | add a new output image for the next set of channel operations
% ; move to the next input image for the source of channel data
%
% For example, to create 3 grayscale images from the red, green, and blue
% channels of an image, use:
%
% -channel-fx "red; green; blue"
%
% A channel without an operation symbol implies separate (i.e, semicolon).
%
% The format of the ChannelFxImage method is:
%
% Image *ChannelFxImage(const Image *image,const char *expression,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o expression: A channel expression.
%
% o exception: return any errors or warnings in this structure.
%
*/
typedef enum
{
ExtractChannelOp,
AssignChannelOp,
ExchangeChannelOp,
TransferChannelOp
} ChannelFx;
static inline size_t MagickMin(const size_t x,const size_t y)
{
if (x < y)
return(x);
return(y);
}
static MagickBooleanType ChannelImage(Image *destination_image,
const PixelChannel destination_channel,const ChannelFx channel_op,
const Image *source_image,const PixelChannel source_channel,
const Quantum pixel,ExceptionInfo *exception)
{
CacheView
*source_view,
*destination_view;
MagickBooleanType
status;
size_t
height,
width;
ssize_t
y;
status=MagickTrue;
source_view=AcquireVirtualCacheView(source_image,exception);
destination_view=AcquireAuthenticCacheView(destination_image,exception);
height=MagickMin(source_image->rows,destination_image->rows);
width=MagickMin(source_image->columns,destination_image->columns);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(source_image,source_image,height,1)
#endif
for (y=0; y < (ssize_t) height; y++)
{
PixelTrait
destination_traits,
source_traits;
register const Quantum
*restrict p;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(source_view,0,y,source_image->columns,1,
exception);
q=GetCacheViewAuthenticPixels(destination_view,0,y,
destination_image->columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
destination_traits=GetPixelChannelTraits(destination_image,
destination_channel);
source_traits=GetPixelChannelTraits(source_image,source_channel);
if ((destination_traits == UndefinedPixelTrait) ||
(source_traits == UndefinedPixelTrait))
continue;
for (x=0; x < (ssize_t) width; x++)
{
if (channel_op == AssignChannelOp)
SetPixelChannel(destination_image,destination_channel,pixel,q);
else
SetPixelChannel(destination_image,destination_channel,
GetPixelChannel(source_image,source_channel,p),q);
p+=GetPixelChannels(source_image);
q+=GetPixelChannels(destination_image);
}
if (SyncCacheViewAuthenticPixels(destination_view,exception) == MagickFalse)
status=MagickFalse;
}
destination_view=DestroyCacheView(destination_view);
source_view=DestroyCacheView(source_view);
return(status);
}
MagickExport Image *ChannelFxImage(const Image *image,const char *expression,
ExceptionInfo *exception)
{
#define ChannelFxImageTag "ChannelFx/Image"
ChannelFx
channel_op;
ChannelType
channel_mask;
char
token[MaxTextExtent];
const char
*p;
const Image
*source_image;
double
pixel;
Image
*destination_image;
MagickBooleanType
status;
PixelChannel
source_channel,
destination_channel;
ssize_t
channels;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
source_image=image;
destination_image=CloneImage(source_image,0,0,MagickTrue,exception);
if (destination_image == (Image *) NULL)
return((Image *) NULL);
if (expression == (const char *) NULL)
return(destination_image);
destination_channel=RedPixelChannel;
channel_mask=UndefinedChannel;
pixel=0.0;
p=(char *) expression;
GetMagickToken(p,&p,token);
channel_op=ExtractChannelOp;
for (channels=0; *token != '\0'; )
{
ssize_t
i;
/*
Interpret channel expression.
*/
switch (*token)
{
case ',':
{
GetMagickToken(p,&p,token);
break;
}
case '|':
{
if (GetNextImageInList(source_image) != (Image *) NULL)
source_image=GetNextImageInList(source_image);
else
source_image=GetFirstImageInList(source_image);
GetMagickToken(p,&p,token);
break;
}
case ';':
{
Image
*canvas;
SetPixelChannelMask(destination_image,channel_mask);
if ((channel_op == ExtractChannelOp) && (channels == 1))
(void) SetImageColorspace(destination_image,GRAYColorspace,exception);
status=SetImageStorageClass(destination_image,DirectClass,exception);
if (status == MagickFalse)
{
destination_image=DestroyImageList(destination_image);
return(destination_image);
}
canvas=CloneImage(source_image,0,0,MagickTrue,exception);
if (canvas == (Image *) NULL)
{
destination_image=DestroyImageList(destination_image);
return(destination_image);
}
AppendImageToList(&destination_image,canvas);
destination_image=GetLastImageInList(destination_image);
GetMagickToken(p,&p,token);
channels=0;
destination_channel=RedPixelChannel;
channel_mask=UndefinedChannel;
break;
}
default:
break;
}
i=ParsePixelChannelOption(token);
if (i < 0)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnrecognizedChannelType","`%s'",token);
destination_image=DestroyImageList(destination_image);
return(destination_image);
}
source_channel=(PixelChannel) i;
channel_op=ExtractChannelOp;
GetMagickToken(p,&p,token);
if (*token == '<')
{
channel_op=ExchangeChannelOp;
GetMagickToken(p,&p,token);
}
if (*token == '=')
{
if (channel_op != ExchangeChannelOp)
channel_op=AssignChannelOp;
GetMagickToken(p,&p,token);
}
if (*token == '>')
{
if (channel_op != ExchangeChannelOp)
channel_op=TransferChannelOp;
GetMagickToken(p,&p,token);
}
switch (channel_op)
{
case AssignChannelOp:
{
pixel=StringToDoubleInterval(token,(double) QuantumRange+1.0);
GetMagickToken(p,&p,token);
break;
}
case ExchangeChannelOp:
case TransferChannelOp:
{
i=ParsePixelChannelOption(token);
if (i < 0)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnrecognizedChannelType","`%s'",token);
destination_image=DestroyImageList(destination_image);
return(destination_image);
}
destination_channel=(PixelChannel) i;
switch (destination_channel)
{
case RedPixelChannel:
case GreenPixelChannel:
case BluePixelChannel:
case BlackPixelChannel:
case IndexPixelChannel:
break;
case AlphaPixelChannel:
{
destination_image->alpha_trait=BlendPixelTrait;
break;
}
case ReadMaskPixelChannel:
{
destination_image->read_mask=MagickTrue;
break;
}
case WriteMaskPixelChannel:
{
destination_image->write_mask=MagickTrue;
break;
}
case MetaPixelChannel:
default:
{
(void) SetPixelMetaChannels(destination_image,(size_t) (i-
GetPixelChannels(destination_image)+1),exception);
break;
}
}
channel_mask=(ChannelType) (channel_mask | ParseChannelOption(token));
if (((channels >= 1) || (destination_channel >= 1)) &&
(IsGrayColorspace(destination_image->colorspace) != MagickFalse))
(void) SetImageColorspace(destination_image,sRGBColorspace,exception);
GetMagickToken(p,&p,token);
break;
}
default:
break;
}
status=ChannelImage(destination_image,destination_channel,channel_op,
source_image,source_channel,ClampToQuantum(pixel),exception);
if (status == MagickFalse)
{
destination_image=DestroyImageList(destination_image);
break;
}
channels++;
if (channel_op == ExchangeChannelOp)
{
status=ChannelImage(destination_image,source_channel,channel_op,
source_image,destination_channel,ClampToQuantum(pixel),exception);
if (status == MagickFalse)
{
destination_image=DestroyImageList(destination_image);
break;
}
channels++;
}
switch (channel_op)
{
case ExtractChannelOp:
{
channel_mask=(ChannelType) (channel_mask | (1 << destination_channel));
destination_channel=(PixelChannel) (destination_channel+1);
break;
}
default:
break;
}
status=SetImageProgress(source_image,ChannelFxImageTag,p-expression,
strlen(expression));
if (status == MagickFalse)
break;
}
SetPixelChannelMask(destination_image,channel_mask);
if ((channel_op == ExtractChannelOp) && (channels == 1))
(void) SetImageColorspace(destination_image,GRAYColorspace,exception);
status=SetImageStorageClass(destination_image,DirectClass,exception);
if (status == MagickFalse)
{
destination_image=GetLastImageInList(destination_image);
return((Image *) NULL);
}
return(GetFirstImageInList(destination_image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o m b i n e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CombineImages() combines one or more images into a single image. The
% grayscale value of the pixels of each image in the sequence is assigned in
% order to the specified channels of the combined image. The typical
% ordering would be image 1 => Red, 2 => Green, 3 => Blue, etc.
%
% The format of the CombineImages method is:
%
% Image *CombineImages(const Image *images,const ColorspaceType colorspace,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o colorspace: the image colorspace.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CombineImages(const Image *image,
const ColorspaceType colorspace,ExceptionInfo *exception)
{
#define CombineImageTag "Combine/Image"
CacheView
*combine_view;
Image
*combine_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Ensure the image are the same size.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
combine_image=CloneImage(image,0,0,MagickTrue,exception);
if (combine_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(combine_image,DirectClass,exception) == MagickFalse)
{
combine_image=DestroyImage(combine_image);
return((Image *) NULL);
}
(void) SetImageColorspace(combine_image,colorspace,exception);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
combine_image->alpha_trait=BlendPixelTrait;
/*
Combine images.
*/
status=MagickTrue;
progress=0;
combine_view=AcquireAuthenticCacheView(combine_image,exception);
for (y=0; y < (ssize_t) combine_image->rows; y++)
{
CacheView
*image_view;
const Image
*next;
Quantum
*pixels;
register const Quantum
*restrict p;
register Quantum
*restrict q;
register ssize_t
i;
if (status == MagickFalse)
continue;
pixels=GetCacheViewAuthenticPixels(combine_view,0,y,combine_image->columns,
1,exception);
if (pixels == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
next=image;
for (i=0; i < (ssize_t) GetPixelChannels(combine_image); i++)
{
register ssize_t
x;
PixelChannel channel=GetPixelChannelChannel(combine_image,i);
PixelTrait traits=GetPixelChannelTraits(combine_image,channel);
if (traits == UndefinedPixelTrait)
continue;
if (next == (Image *) NULL)
continue;
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,next->columns,1,exception);
if (p == (const Quantum *) NULL)
continue;
q=pixels;
for (x=0; x < (ssize_t) combine_image->columns; x++)
{
if (x < (ssize_t) next->columns)
{
q[i]=GetPixelGray(next,p);
p+=GetPixelChannels(next);
}
q+=GetPixelChannels(combine_image);
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
if (SyncCacheViewAuthenticPixels(combine_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,CombineImageTag,progress++,
combine_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
combine_view=DestroyCacheView(combine_view);
if (status == MagickFalse)
combine_image=DestroyImage(combine_image);
return(combine_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e A l p h a C h a n n e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageAlphaChannel() returns MagickFalse if the image alpha channel is
% not activated. That is, the image is RGB rather than RGBA or CMYK rather
% than CMYKA.
%
% The format of the GetImageAlphaChannel method is:
%
% MagickBooleanType GetImageAlphaChannel(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType GetImageAlphaChannel(const Image *image)
{
assert(image != (const Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickSignature);
return(image->alpha_trait == BlendPixelTrait ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e p a r a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SeparateImage() separates a channel from the image and returns it as a
% grayscale image.
%
% The format of the SeparateImage method is:
%
% Image *SeparateImage(const Image *image,const ChannelType channel,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the image channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SeparateImage(const Image *image,
const ChannelType channel_type,ExceptionInfo *exception)
{
#define GetChannelBit(mask,bit) (((size_t) (mask) >> (size_t) (bit)) & 0x01)
#define SeparateImageTag "Separate/Image"
CacheView
*image_view,
*separate_view;
Image
*separate_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Initialize separate image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
separate_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (separate_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(separate_image,DirectClass,exception) == MagickFalse)
{
separate_image=DestroyImage(separate_image);
return((Image *) NULL);
}
(void) SetImageColorspace(separate_image,GRAYColorspace,exception);
separate_image->alpha_trait=UndefinedPixelTrait;
/*
Separate image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
separate_view=AcquireAuthenticCacheView(separate_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*restrict p;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(separate_view,0,y,separate_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
if (GetPixelReadMask(image,p) == 0)
{
SetPixelBackgoundColor(separate_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(separate_image);
continue;
}
SetPixelChannel(separate_image,GrayPixelChannel,0,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
(GetChannelBit(channel_type,channel) == 0))
continue;
SetPixelChannel(separate_image,GrayPixelChannel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(separate_image);
}
if (SyncCacheViewAuthenticPixels(separate_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SeparateImage)
#endif
proceed=SetImageProgress(image,SeparateImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
separate_view=DestroyCacheView(separate_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
separate_image=DestroyImage(separate_image);
return(separate_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e p a r a t e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SeparateImages() returns a separate grayscale image for each channel
% specified.
%
% The format of the SeparateImages method is:
%
% Image *SeparateImages(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SeparateImages(const Image *image,ExceptionInfo *exception)
{
Image
*images,
*separate_image;
register ssize_t
i;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
images=NewImageList();
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
((traits & UpdatePixelTrait) == 0))
continue;
separate_image=SeparateImage(image,(ChannelType) (1 << channel),exception);
if (separate_image != (Image *) NULL)
AppendImageToList(&images,separate_image);
}
if (images == (Image *) NULL)
images=SeparateImage(image,UndefinedChannel,exception);
return(images);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e A l p h a C h a n n e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageAlphaChannel() activates, deactivates, resets, or sets the alpha
% channel.
%
% The format of the SetImageAlphaChannel method is:
%
% MagickBooleanType SetImageAlphaChannel(Image *image,
% const AlphaChannelOption alpha_type,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o alpha_type: The alpha channel type: ActivateAlphaChannel,
% AssociateAlphaChannel, CopyAlphaChannel, DeactivateAlphaChannel,
% DisassociateAlphaChannel, ExtractAlphaChannel, OpaqueAlphaChannel,
% SetAlphaChannel, ShapeAlphaChannel, and TransparentAlphaChannel.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline void FlattenPixelInfo(const Image *image,const PixelInfo *p,
const double alpha,const Quantum *q,const double beta,
Quantum *composite)
{
double
Da,
gamma,
Sa;
register ssize_t
i;
/*
Compose pixel p over pixel q with the given alpha.
*/
Sa=QuantumScale*alpha;
Da=QuantumScale*beta,
gamma=Sa*(-Da)+Sa+Da;
gamma=PerceptibleReciprocal(gamma);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
switch (channel)
{
case RedPixelChannel:
{
composite[i]=ClampToQuantum(gamma*MagickOver_((double) q[i],beta,
(double) p->red,alpha));
break;
}
case GreenPixelChannel:
{
composite[i]=ClampToQuantum(gamma*MagickOver_((double) q[i],beta,
(double) p->green,alpha));
break;
}
case BluePixelChannel:
{
composite[i]=ClampToQuantum(gamma*MagickOver_((double) q[i],beta,
(double) p->blue,alpha));
break;
}
case BlackPixelChannel:
{
composite[i]=ClampToQuantum(gamma*MagickOver_((double) q[i],beta,
(double) p->black,alpha));
break;
}
case AlphaPixelChannel:
{
composite[i]=ClampToQuantum(QuantumRange*(Sa*(-Da)+Sa+Da));
break;
}
default:
break;
}
}
}
MagickExport MagickBooleanType SetImageAlphaChannel(Image *image,
const AlphaChannelOption alpha_type,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickSignature);
status=MagickTrue;
switch (alpha_type)
{
case ActivateAlphaChannel:
{
image->alpha_trait=BlendPixelTrait;
break;
}
case AssociateAlphaChannel:
{
/*
Associate alpha.
*/
status=SetImageStorageClass(image,DirectClass,exception);
if (status == MagickFalse)
break;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
Sa;
register ssize_t
i;
if (GetPixelReadMask(image,q) == 0)
{
q+=GetPixelChannels(image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ClampToQuantum(Sa*q[i]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
image->alpha_trait=CopyPixelTrait;
return(status);
}
case BackgroundAlphaChannel:
{
/*
Set transparent pixels to background color.
*/
if (image->alpha_trait != BlendPixelTrait)
break;
status=SetImageStorageClass(image,DirectClass,exception);
if (status == MagickFalse)
break;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelAlpha(image,q) == TransparentAlpha)
{
SetPixelInfoPixel(image,&image->background_color,q);
SetPixelChannel(image,AlphaPixelChannel,TransparentAlpha,q);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
case CopyAlphaChannel:
case ShapeAlphaChannel:
{
/*
Copy pixel intensity to the alpha channel.
*/
status=CompositeImage(image,image,IntensityCompositeOp,MagickTrue,0,0,
exception);
if (alpha_type == ShapeAlphaChannel)
(void) LevelImageColors(image,&image->background_color,
&image->background_color,MagickTrue,exception);
break;
}
case DeactivateAlphaChannel:
{
image->alpha_trait=CopyPixelTrait;
break;
}
case DisassociateAlphaChannel:
{
/*
Disassociate alpha.
*/
status=SetImageStorageClass(image,DirectClass,exception);
if (status == MagickFalse)
break;
image->alpha_trait=BlendPixelTrait;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
gamma,
Sa;
register ssize_t
i;
if (GetPixelReadMask(image,q) == 0)
{
q+=GetPixelChannels(image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,q);
gamma=PerceptibleReciprocal(Sa);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ClampToQuantum(gamma*q[i]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
case DiscreteAlphaChannel:
{
image->alpha_trait=UpdatePixelTrait;
break;
}
case ExtractAlphaChannel:
{
status=CompositeImage(image,image,AlphaCompositeOp,MagickTrue,0,0,
exception);
image->alpha_trait=CopyPixelTrait;
break;
}
case OpaqueAlphaChannel:
{
status=SetImageAlpha(image,OpaqueAlpha,exception);
break;
}
case RemoveAlphaChannel:
{
/*
Remove transparency.
*/
if (image->alpha_trait != BlendPixelTrait)
break;
status=SetImageStorageClass(image,DirectClass,exception);
if (status == MagickFalse)
break;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
FlattenPixelInfo(image,&image->background_color,
image->background_color.alpha,q,(double)
GetPixelAlpha(image,q),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
image->alpha_trait=image->background_color.alpha_trait;
return(status);
}
case SetAlphaChannel:
{
if (image->alpha_trait != BlendPixelTrait)
status=SetImageAlpha(image,OpaqueAlpha,exception);
break;
}
case TransparentAlphaChannel:
{
status=SetImageAlpha(image,TransparentAlpha,exception);
break;
}
case UndefinedAlphaChannel:
break;
}
if (status == MagickFalse)
return(status);
return(SyncImagePixelCache(image,exception));
}
|
DRB047-doallchar-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <stdio.h>
#include <stdlib.h>
/*
One dimension array computation
with finer granularity than traditional 4 bytes.
Dynamic tools monitoring 4-bytes elements may wrongfuly report race condition.
*/
char a[100];
int main()
{
int i;
#pragma omp parallel for private(i)
for (i=0;i<100;i++)
a[i]=i;
#pragma omp parallel for private(i)
for (i=0;i<100;i++)
a[i]=a[i]+1;
for (i=0;i<100;i++)
printf("%c\n",a[i]);
return 0;
}
|
pcpaes_ecbencrypt.c | /*******************************************************************************
* Copyright 2013-2018 Intel Corporation
* All Rights Reserved.
*
* If this software was obtained under the Intel Simplified Software License,
* the following terms apply:
*
* The source code, information and material ("Material") contained herein is
* owned by Intel Corporation or its suppliers or licensors, and title to such
* Material remains with Intel Corporation or its suppliers or licensors. The
* Material contains proprietary information of Intel or its suppliers and
* licensors. The Material is protected by worldwide copyright laws and treaty
* provisions. No part of the Material may be used, copied, reproduced,
* modified, published, uploaded, posted, transmitted, distributed or disclosed
* in any way without Intel's prior express written permission. No license under
* any patent, copyright or other intellectual property rights in the Material
* is granted to or conferred upon you, either expressly, by implication,
* inducement, estoppel or otherwise. Any license under such intellectual
* property rights must be express and approved by Intel in writing.
*
* Unless otherwise agreed by Intel in writing, you may not remove or alter this
* notice or any other notice embedded in Materials by Intel or Intel's
* suppliers or licensors in any way.
*
*
* If this software was obtained under the Apache License, Version 2.0 (the
* "License"), the following terms apply:
*
* You may not use this file except in compliance with the License. You may
* obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
*
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/
/*
//
// Purpose:
// Cryptography Primitive.
// AES encryption/decryption (ECB mode)
//
// Contents:
// ippsAESEncryptECB()
// ippsAESDecryptECB()
//
//
*/
#include "owndefs.h"
#include "owncp.h"
#include "pcpaesm.h"
#include "pcptool.h"
#if defined(_OPENMP)
# include "omp.h"
#endif
#if (_ALG_AES_SAFE_==_ALG_AES_SAFE_COMPOSITE_GF_)
# pragma message("_ALG_AES_SAFE_COMPOSITE_GF_ enabled")
#elif (_ALG_AES_SAFE_==_ALG_AES_SAFE_COMPACT_SBOX_)
# pragma message("_ALG_AES_SAFE_COMPACT_SBOX_ enabled")
# include "pcprijtables.h"
#else
# pragma message("_ALG_AES_SAFE_ disabled")
#endif
/*
// AES-ECB ecnryption
//
// Parameters:
// pSrc pointer to the source data buffer
// pDst pointer to the target data buffer
// nBlocks number of ecnrypted data blocks
// pCtx pointer to the AES context
*/
static
void cpEncryptAES_ecb(const Ipp8u* pSrc, Ipp8u* pDst, int nBlocks, const IppsAESSpec* pCtx)
{
#if (_IPP>=_IPP_P8) || (_IPP32E>=_IPP32E_Y8)
/* use pipelined version is possible */
if(AES_NI_ENABLED==RIJ_AESNI(pCtx)) {
EncryptECB_RIJ128pipe_AES_NI(pSrc, pDst, RIJ_NR(pCtx), RIJ_EKEYS(pCtx), nBlocks*MBS_RIJ128);
}
else
#endif
{
/* block-by-block encryption */
RijnCipher encoder = RIJ_ENCODER(pCtx);
while(nBlocks) {
//encoder((const Ipp32u*)pSrc, (Ipp32u*)pDst, RIJ_NR(pCtx), RIJ_EKEYS(pCtx), (const Ipp32u (*)[256])RIJ_ENC_SBOX(pCtx));
#if (_ALG_AES_SAFE_==_ALG_AES_SAFE_COMPACT_SBOX_)
encoder(pSrc, pDst, RIJ_NR(pCtx), RIJ_EKEYS(pCtx), RijEncSbox/*NULL*/);
#else
encoder(pSrc, pDst, RIJ_NR(pCtx), RIJ_EKEYS(pCtx), NULL);
#endif
pSrc += MBS_RIJ128;
pDst += MBS_RIJ128;
nBlocks--;
}
}
}
/*
// AES-ECB denryption
//
// Parameters:
// pSrc pointer to the source data buffer
// pDst pointer to the target data buffer
// nBlocks number of decrypted data blocks
// pCtx pointer to the AES context
*/
static
void cpDecryptAES_ecb(const Ipp8u* pSrc, Ipp8u* pDst, int nBlocks, const IppsAESSpec* pCtx)
{
#if (_IPP>=_IPP_P8) || (_IPP32E>=_IPP32E_Y8)
/* use pipelined version is possible */
if(AES_NI_ENABLED==RIJ_AESNI(pCtx)) {
DecryptECB_RIJ128pipe_AES_NI(pSrc, pDst, RIJ_NR(pCtx), RIJ_DKEYS(pCtx), nBlocks*MBS_RIJ128);
}
else
#endif
{
/* block-by-block decryption */
RijnCipher decoder = RIJ_DECODER(pCtx);
while(nBlocks) {
//decoder((const Ipp32u*)pSrc, (Ipp32u*)pDst, RIJ_NR(pCtx), RIJ_DKEYS(pCtx), (const Ipp32u (*)[256])RIJ_DEC_SBOX(pCtx));
#if (_ALG_AES_SAFE_==_ALG_AES_SAFE_COMPACT_SBOX_)
decoder(pSrc, pDst, RIJ_NR(pCtx), RIJ_EKEYS(pCtx), RijDecSbox/*NULL*/);
#else
decoder(pSrc, pDst, RIJ_NR(pCtx), RIJ_DKEYS(pCtx), NULL);
#endif
pSrc += MBS_RIJ128;
pDst += MBS_RIJ128;
nBlocks--;
}
}
}
/*F*
// Name: ippsAESEncryptECB
//
// Purpose: AES-ECB encryption.
//
// Returns: Reason:
// ippStsNullPtrErr pCtx == NULL
// pSrc == NULL
// pDst == NULL
// ippStsContextMatchErr !VALID_AES_ID()
// ippStsLengthErr dataLen <1
// ippStsUnderRunErr 0!=(dataLen%MBS_RIJ128)
// ippStsNoErr no errors
//
// Parameters:
// pSrc pointer to the source data buffer
// pDst pointer to the target data buffer
// len input/output buffer length (in bytes)
// pCtx pointer to the AES context
//
*F*/
IPPFUN(IppStatus, ippsAESEncryptECB,(const Ipp8u* pSrc, Ipp8u* pDst, int len,
const IppsAESSpec* pCtx))
{
/* test context */
IPP_BAD_PTR1_RET(pCtx);
/* use aligned AES context */
pCtx = (IppsAESSpec*)( IPP_ALIGNED_PTR(pCtx, AES_ALIGNMENT) );
/* test the context ID */
IPP_BADARG_RET(!VALID_AES_ID(pCtx), ippStsContextMatchErr);
/* test source and target buffer pointers */
IPP_BAD_PTR2_RET(pSrc, pDst);
/* test stream length */
IPP_BADARG_RET((len<1), ippStsLengthErr);
/* test stream integrity */
IPP_BADARG_RET((len&(MBS_RIJ128-1)), ippStsUnderRunErr);
/* do encryption */
{
int nBlocks = len / MBS_RIJ128;
#if !defined(_OPENMP)
cpEncryptAES_ecb(pSrc, pDst, nBlocks, pCtx);
#else
int blk_per_thread = AES_NI_ENABLED==RIJ_AESNI(pCtx)? AESNI128_MIN_BLK_PER_THREAD : RIJ128_MIN_BLK_PER_THREAD;
int nThreads = IPP_MIN(IPPCP_GET_NUM_THREADS(), IPP_MAX(nBlocks/blk_per_thread, 1));
if(1==nThreads)
cpEncryptAES_ecb(pSrc, pDst, nBlocks, pCtx);
else {
int blksThreadReg;
int blksThreadTail;
#pragma omp parallel IPPCP_OMP_LIMIT_MAX_NUM_THREADS(nThreads)
{
#pragma omp master
{
nThreads = omp_get_num_threads();
blksThreadReg = nBlocks / nThreads;
blksThreadTail = blksThreadReg + nBlocks % nThreads;
}
#pragma omp barrier
{
int id = omp_get_thread_num();
Ipp8u* pThreadSrc = (Ipp8u*)pSrc + id*blksThreadReg * MBS_RIJ128;
Ipp8u* pThreadDst = (Ipp8u*)pDst + id*blksThreadReg * MBS_RIJ128;
int blkThread = (id==(nThreads-1))? blksThreadTail : blksThreadReg;
cpEncryptAES_ecb(pThreadSrc, pThreadDst, blkThread, pCtx);
}
}
}
#endif /* _OPENMP version */
return ippStsNoErr;
}
}
|
generator_spgemm_csr_asparse.c | /******************************************************************************
* Copyright (c) Intel Corporation - All rights reserved. *
* This file is part of the LIBXSMM library. *
* *
* For information on the license, see the LICENSE file. *
* Further information: https://github.com/hfp/libxsmm/ *
* SPDX-License-Identifier: BSD-3-Clause *
******************************************************************************/
/* Alexander Heinecke (Intel Corp.)
******************************************************************************/
#include "generator_spgemm_csr_asparse.h"
#include "generator_common.h"
#include "libxsmm_main.h"
LIBXSMM_API_INTERN
void libxsmm_generator_spgemm_csr_asparse( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const char* i_arch,
const unsigned int* i_row_idx,
const unsigned int* i_column_idx,
const double* i_values ) {
unsigned int l_m;
unsigned int l_z;
unsigned int l_row_elements;
unsigned int l_flop_count = 0;
char l_new_code[512];
int l_max_code_length = 511;
int l_code_length = 0;
LIBXSMM_UNUSED(i_values);
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " unsigned int l_n = 0;\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
/* reset C if beta is zero */
if (0 != (LIBXSMM_GEMM_FLAG_BETA_0 & i_xgemm_desc->flags)) { /* Beta=0 */
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " unsigned int l_m = 0;\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " for ( l_m = 0; l_m < %u; l_m++) {\n", (unsigned int)i_xgemm_desc->m);
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
if ( i_xgemm_desc->m > 1 ) {
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " #pragma simd\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " #pragma vector aligned\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
}
if ( LIBXSMM_GEMM_PRECISION_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " for ( l_n = 0; l_n < %u; l_n++) { C[(l_m*%u)+l_n] = 0.0; }\n", (unsigned int)i_xgemm_desc->ldc, (unsigned int)i_xgemm_desc->ldc);
} else {
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " for ( l_n = 0; l_n < %u; l_n++) { C[(l_m*%u)+l_n] = 0.0f; }\n", (unsigned int)i_xgemm_desc->ldc, (unsigned int)i_xgemm_desc->ldc);
}
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " }\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
}
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, "\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
/* determine the correct simd pragma for each architecture */
if ( ( strcmp( i_arch, "noarch" ) == 0 ) ||
( strcmp( i_arch, "wsm" ) == 0 ) ||
( strcmp( i_arch, "snb" ) == 0 ) ||
( strcmp( i_arch, "hsw" ) == 0 ) ) {
if ( i_xgemm_desc->n > 7 ) {
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " #pragma simd vectorlength(8)\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
} else if ( i_xgemm_desc->n > 3 ) {
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " #pragma simd vectorlength(4)\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
} else if ( i_xgemm_desc->n > 1 ) {
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " #pragma simd vectorlength(2)\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
} else {}
} else if ( ( strcmp( i_arch, "knl" ) == 0 ) ||
( strcmp( i_arch, "knm" ) == 0 ) ||
( strcmp( i_arch, "skx" ) == 0 ) ||
( strcmp( i_arch, "clx" ) == 0 ) ||
( strcmp( i_arch, "cpx" ) == 0 ) ) {
if ( (i_xgemm_desc->n > 1) ) {
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " #pragma simd vectorlength(16)\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
}
} else {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_ARCH );
return;
}
if ( (i_xgemm_desc->n > 1) &&
((LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0) &&
((LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0) ) {
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " #pragma vector aligned\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
}
/* generate the actuel kernel */
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " for ( l_n = 0; l_n < %u; l_n++) {\n", (unsigned int)i_xgemm_desc->n);
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
for ( l_m = 0; l_m < (unsigned int)i_xgemm_desc->m; l_m++ ) {
l_row_elements = i_row_idx[l_m+1] - i_row_idx[l_m];
for ( l_z = 0; l_z < l_row_elements; l_z++ ) {
/* check k such that we just use columns which actually need to be multiplied */
if ( i_column_idx[i_row_idx[l_m] + l_z] < (unsigned int)i_xgemm_desc->k ) {
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " C[%u+l_n] += A[%u] * B[%u+l_n];\n", l_m * i_xgemm_desc->ldc, i_row_idx[l_m] + l_z, i_column_idx[i_row_idx[l_m] + l_z]*i_xgemm_desc->ldb );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_flop_count += 2;
}
}
}
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, " }\n");
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
/* add flop counter */
l_code_length = LIBXSMM_SNPRINTF(l_new_code, l_max_code_length, "\n#ifndef NDEBUG\n#ifdef _OPENMP\n#pragma omp atomic\n#endif\nlibxsmm_num_total_flops += %u;\n#endif\n", l_flop_count * (unsigned int)i_xgemm_desc->m);
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
}
|
AlgebraicPageRank.h | /*
* AlgebraicPageRank.h
*
* Created on: Jun 20, 2016
* Author: Michael Wegner (michael.wegner@student.kit.edu)
*/
#ifndef NETWORKIT_CPP_ALGEBRAIC_ALGORITHMS_ALGEBRAICPAGERANK_H_
#define NETWORKIT_CPP_ALGEBRAIC_ALGORITHMS_ALGEBRAICPAGERANK_H_
#include "../../base/Algorithm.h"
#include "../../auxiliary/Parallel.h"
#include "../../graph/Graph.h"
#include "../GraphBLAS.h"
#include "../Vector.h"
namespace NetworKit {
/**
* @ingroup algebraic
* Implementation of PageRank using the GraphBLAS interface.
*/
template<class Matrix>
class AlgebraicPageRank : public Algorithm {
public:
/**
* Constructs an instance of AlgebraicPageRank for the given @a graph. Page rank uses the damping factor @a damp
* and the tolerance @a tol.
* @param graph
* @param damp
* @param tol
*/
AlgebraicPageRank(const Graph& graph, const double damp = 0.85, const double tol = 1e-8) : damp(damp), tol(tol) {
Matrix A = Matrix::adjacencyMatrix(graph);
// normalize At by out-degree
Vector invOutDeg = GraphBLAS::rowReduce(A);
#pragma omp parallel for
for (index i = 0; i < invOutDeg.getDimension(); ++i) {
invOutDeg[i] = 1.0/invOutDeg[i];
}
std::vector<Triplet> mTriplets(A.nnz());
index idx = 0;
A.forNonZeroElementsInRowOrder([&](index i, index j, double value) {
mTriplets[idx++] = {j,i, damp * value * invOutDeg[i]};
});
M = std::move(Matrix(A.numberOfRows(), mTriplets));
}
void run() override;
/**
* Get a vector containing the betweenness score for each node in the graph.
* @param moveOut Return the actual internal data instead of a copy. Resets the hasRun-state. Default: false.
* @return The betweenness scores calculated by @link run().
*/
std::vector<double> scores(bool moveOut = false);
/**
* Get a vector of pairs sorted into descending order. Each pair contains a node and the corresponding score
* calculated by @link run().
* @return A vector of pairs.
*/
std::vector<std::pair<node, double>> ranking();
/**
* Get the betweenness score of node @a v calculated by @link run().
*
* @param v A node.
* @return The betweenness score of node @a v.
*/
double score(node v);
/**
* Get the theoretical maximum of centrality score in the given graph.
*
* @return The maximum centrality score.
*/
double maximum() {
return 1.0;
}
private:
Matrix M;
const double damp;
const double tol;
std::vector<double> scoreData;
std::vector<double> edgeScoreData;
};
template<class Matrix>
void AlgebraicPageRank<Matrix>::run() {
count n = M.numberOfRows();
double teleportProb = (1.0 - damp) / (double) n;
Vector rank(n, 1.0/(double)n);
Vector lastRank;
do {
lastRank = rank;
rank = M * rank;
rank.apply([&](double value) {return value += teleportProb;});
} while ((rank - lastRank).length() > tol);
double sum = 0.0;
#pragma omp parallel for reduction(+:sum)
for (index i = 0; i < rank.getDimension(); ++i) {
sum += rank[i];
}
scoreData.resize(n, 0);
#pragma omp parallel for
for (index i = 0; i < rank.getDimension(); ++i) {
scoreData[i] = rank[i] / sum;
}
hasRun = true;
}
template<class Matrix>
std::vector<double> AlgebraicPageRank<Matrix>::scores(bool moveOut) {
if (!hasRun) throw std::runtime_error("Call run method first");
hasRun = !moveOut;
return moveOut ? std::move(scoreData) : scoreData;
}
template<class Matrix>
std::vector<std::pair<node, double>> AlgebraicPageRank<Matrix>::ranking() {
if (!hasRun) throw std::runtime_error("Call run method first");
std::vector<std::pair<node, double> > ranking;
for (index i = 0; i < scoreData.size(); ++i) {
ranking.push_back({i, scoreData[i]});
}
Aux::Parallel::sort(ranking.begin(), ranking.end(), [](std::pair<node, double> x, std::pair<node, double> y) { return x.second > y.second; });
return ranking;
}
template<class Matrix>
double AlgebraicPageRank<Matrix>::score(node v) {
if (!hasRun) throw std::runtime_error("Call run method first");
return scoreData.at(v);
}
} /* namespace NetworKit */
#endif /* NETWORKIT_CPP_ALGEBRAIC_ALGORITHMS_ALGEBRAICPAGERANK_H_ */
|
Main.c | #include "XSbench_header.h"
#ifdef MPI
#include<mpi.h>
#endif
int main( int argc, char* argv[] )
{
// =====================================================================
// Initialization & Command Line Read-In
// =====================================================================
int version = 17;
int mype = 0;
int thread;
double omp_start, omp_end;
unsigned long long vhash = 0;
int nprocs = 1;
#ifdef MPI
MPI_Status stat;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &nprocs);
MPI_Comm_rank(MPI_COMM_WORLD, &mype);
#endif
// rand() is only used in the serial initialization stages.
// A custom RNG is used in parallel portions.
#ifdef VERIFICATION
srand(26);
#else
srand(time(NULL));
#endif
// Process CLI Fields -- store in "Inputs" structure
Inputs in = read_CLI( argc, argv );
// Set number of OpenMP Threads
omp_set_num_threads(in.nthreads);
// Print-out of Input Summary
if( mype == 0 )
print_inputs( in, nprocs, version );
// =====================================================================
// Prepare Nuclide Energy Grids, Unionized Energy Grid, & Material Data
// =====================================================================
// Allocate & fill energy grids
#ifndef BINARY_READ
if( mype == 0) printf("Generating Nuclide Energy Grids...\n");
#endif
NuclideGridPoint ** nuclide_grids = gpmatrix(in.n_isotopes,in.n_gridpoints);
#ifdef VERIFICATION
generate_grids_v( nuclide_grids, in.n_isotopes, in.n_gridpoints );
#else
generate_grids( nuclide_grids, in.n_isotopes, in.n_gridpoints );
#endif
// Sort grids by energy
#ifndef BINARY_READ
if( mype == 0) printf("Sorting Nuclide Energy Grids...\n");
sort_nuclide_grids( nuclide_grids, in.n_isotopes, in.n_gridpoints );
#endif
// If using a unionized grid search, initialize the energy grid
// Otherwise, leave these as null
GridPoint * energy_grid = NULL;
int * index_data = NULL;
if( in.grid_type == UNIONIZED )
{
// Prepare Unionized Energy Grid Framework
#ifndef BINARY_READ
energy_grid = generate_energy_grid( in.n_isotopes,
in.n_gridpoints, nuclide_grids );
#else
energy_grid = (GridPoint *)malloc( in.n_isotopes *
in.n_gridpoints * sizeof( GridPoint ) );
index_data = (int *) malloc( in.n_isotopes * in.n_gridpoints
* in.n_isotopes * sizeof(int));
for( int i = 0; i < in.n_isotopes*in.n_gridpoints; i++ )
energy_grid[i].xs_ptrs = &index_data[i*in.n_isotopes];
#endif
// Double Indexing. Filling in energy_grid with pointers to the
// nuclide_energy_grids.
#ifndef BINARY_READ
initialization_do_not_profile_set_grid_ptrs( energy_grid, nuclide_grids, in.n_isotopes, in.n_gridpoints );
#endif
}
else if( in.grid_type == HASH )
{
energy_grid = generate_hash_table( nuclide_grids, in.n_isotopes, in.n_gridpoints, in.hash_bins );
}
#ifdef BINARY_READ
if( mype == 0 ) printf("Reading data from \"XS_data.dat\" file...\n");
binary_read(in.n_isotopes, in.n_gridpoints, nuclide_grids, energy_grid, in.grid_type);
#endif
// Get material data
if( mype == 0 )
printf("Loading Mats...\n");
int *num_nucs = load_num_nucs(in.n_isotopes);
int **mats = load_mats(num_nucs, in.n_isotopes);
#ifdef VERIFICATION
double **concs = load_concs_v(num_nucs);
#else
double **concs = load_concs(num_nucs);
#endif
#ifdef BINARY_DUMP
if( mype == 0 ) printf("Dumping data to binary file...\n");
binary_dump(in.n_isotopes, in.n_gridpoints, nuclide_grids, energy_grid, in.grid_type);
if( mype == 0 ) printf("Binary file \"XS_data.dat\" written! Exiting...\n");
return 0;
#endif
// =====================================================================
// Cross Section (XS) Parallel Lookup Simulation Begins
// =====================================================================
// Outer benchmark loop can loop through all possible # of threads
#ifdef BENCHMARK
for( int bench_n = 1; bench_n <=omp_get_num_procs(); bench_n++ )
{
in.nthreads = bench_n;
omp_set_num_threads(in.nthreads);
#endif
for ( int loop_count=1; loop_count<5;loop_count++ ){
if( mype == 0 )
{
printf("\n");
border_print();
center_print("SIMULATION", 79);
border_print();
}
omp_start = omp_get_wtime();
//initialize papi with one thread (master) here
#ifdef PAPI
if ( PAPI_library_init(PAPI_VER_CURRENT) != PAPI_VER_CURRENT){
fprintf(stderr, "PAPI library init error!\n");
exit(1);
}
#endif
// OpenMP compiler directives - declaring variables as shared or private
// The reduction is only needed when in verification mode.
#pragma omp parallel default(none) \
private(thread) \
shared( in, energy_grid, nuclide_grids, \
mats, concs, num_nucs, mype) \
reduction(+:vhash)
{
// Initialize parallel PAPI counters
#ifdef PAPI
int eventset = PAPI_NULL;
int num_papi_events;
#pragma omp critical
{
counter_init(&eventset, &num_papi_events);
}
#endif
double * xs = (double *) calloc(5, sizeof(double));
// Initialize RNG seeds for threads
thread = omp_get_thread_num();
// Particle loop
// (independent - can be processed in any order and in parallel)
#pragma omp for schedule(dynamic)
for( int p = 0; p < in.particles; p++ )
{
// Particles are seeded by their particle ID
unsigned long seed = ((unsigned long) p+ (unsigned long)1)* (unsigned long) 13371337;
// Randomly pick an energy and material for the particle
double p_energy = rn(&seed);
int mat = pick_mat(&seed);
// Status text
if( INFO && mype == 0 && thread == 0 && p % 100 == 0 )
printf("\rCalculating XS's... (%.0lf%% completed)",
(p / ( (double)in.particles / (double) in.nthreads ))
/ (double) in.nthreads * 100.0);
// XS Lookup Loop
// (dependent! Next iteration uses data computed in previous iter.)
for( int i = 0; i < in.lookups; i++ )
{
// debugging
//printf("E = %lf mat = %d\n", p_energy, mat);
double macro_xs_vector[5] = {0};
// This returns the macro_xs_vector, but we're not going
// to do anything with it in this program, so return value
// is written over.
calculate_macro_xs( p_energy, mat, in.n_isotopes,
in.n_gridpoints, num_nucs, concs,
energy_grid, nuclide_grids, mats,
macro_xs_vector, in.grid_type, in.hash_bins );
// Copy results from above function call onto heap
// so that compiler cannot optimize function out
// (only occurs if -flto flag is used)
// This operation is only done to avoid optimizing out
// calculate_macro_xs -- we do not care about what is
// in the "xs" array
memcpy(xs, macro_xs_vector, 5*sizeof(double));
// Verification hash calculation
// This method provides a consistent hash accross
// architectures and compilers.
#ifdef VERIFICATION
char line[256];
sprintf(line, "%.5lf %d %.5lf %.5lf %.5lf %.5lf %.5lf",
p_energy, mat,
macro_xs_vector[0],
macro_xs_vector[1],
macro_xs_vector[2],
macro_xs_vector[3],
macro_xs_vector[4]);
unsigned long long vhash_local = hash(line, 10000);
vhash += vhash_local;
#endif
// Randomly pick next energy and material for the particle
// Also incorporates results from macro_xs lookup to
// enforce loop dependency.
// In a real MC app, this dependency is expressed in terms
// of branching physics sampling, whereas here we are just
// artificially enforcing this dependence based on altering
// the seed
for( int x = 0; x < 5; x++ )
seed += macro_xs_vector[x] * (x+1)*1337*1337;
p_energy = rn(&seed);
mat = pick_mat(&seed);
}
}
// Prints out thread local PAPI counters
#ifdef PAPI
if( mype == 0 && thread == 0 )
{
printf("\n");
border_print();
center_print("PAPI COUNTER RESULTS", 79);
border_print();
printf("Count \tSmybol \tDescription\n");
}
{
#pragma omp barrier
}
counter_stop(&eventset, num_papi_events);
#endif
}
#ifndef PAPI
if( mype == 0)
{
printf("\n" );
printf("Simulation complete.\n" );
}
#endif
omp_end = omp_get_wtime();
// Final Hash Step
vhash = vhash % 1000000;
// Print / Save Results and Exit
print_results( in, mype, omp_end-omp_start, nprocs, vhash );
}
#ifdef BENCHMARK
}
#endif
#ifdef MPI
MPI_Finalize();
#endif
#ifdef HPE_MMAP
#ifdef HPE_DBG
printf("About to call munmap_wrapper_cleanup kludge\n");
#endif
int ret = -1;
ret = munmap_wrapper_cleanup();
if (ret != 0)
printf("munmap_wrapper_cleanup error\n");
#endif
return 0;
}
|
GB_binop__rminus_uint32.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__rminus_uint32)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__rminus_uint32)
// A.*B function (eWiseMult): GB (_AemultB_03__rminus_uint32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__rminus_uint32)
// A*D function (colscale): GB (_AxD__rminus_uint32)
// D*A function (rowscale): GB (_DxB__rminus_uint32)
// C+=B function (dense accum): GB (_Cdense_accumB__rminus_uint32)
// C+=b function (dense accum): GB (_Cdense_accumb__rminus_uint32)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__rminus_uint32)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__rminus_uint32)
// C=scalar+B GB (_bind1st__rminus_uint32)
// C=scalar+B' GB (_bind1st_tran__rminus_uint32)
// C=A+scalar GB (_bind2nd__rminus_uint32)
// C=A'+scalar GB (_bind2nd_tran__rminus_uint32)
// C type: uint32_t
// A type: uint32_t
// B,b type: uint32_t
// BinaryOp: cij = (bij - aij)
#define GB_ATYPE \
uint32_t
#define GB_BTYPE \
uint32_t
#define GB_CTYPE \
uint32_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint32_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
uint32_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint32_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = (y - x) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_RMINUS || GxB_NO_UINT32 || GxB_NO_RMINUS_UINT32)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__rminus_uint32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__rminus_uint32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__rminus_uint32)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__rminus_uint32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint32_t
uint32_t bwork = (*((uint32_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__rminus_uint32)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *restrict Cx = (uint32_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__rminus_uint32)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *restrict Cx = (uint32_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__rminus_uint32)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__rminus_uint32)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__rminus_uint32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__rminus_uint32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__rminus_uint32)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__rminus_uint32)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *Cx = (uint32_t *) Cx_output ;
uint32_t x = (*((uint32_t *) x_input)) ;
uint32_t *Bx = (uint32_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint32_t bij = Bx [p] ;
Cx [p] = (bij - x) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__rminus_uint32)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint32_t *Cx = (uint32_t *) Cx_output ;
uint32_t *Ax = (uint32_t *) Ax_input ;
uint32_t y = (*((uint32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint32_t aij = Ax [p] ;
Cx [p] = (y - aij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint32_t aij = Ax [pA] ; \
Cx [pC] = (aij - x) ; \
}
GrB_Info GB (_bind1st_tran__rminus_uint32)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t x = (*((const uint32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint32_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint32_t aij = Ax [pA] ; \
Cx [pC] = (y - aij) ; \
}
GrB_Info GB (_bind2nd_tran__rminus_uint32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t y = (*((const uint32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_unaryop__ainv_int16_int32.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__ainv_int16_int32
// op(A') function: GB_tran__ainv_int16_int32
// C type: int16_t
// A type: int32_t
// cast: int16_t cij = (int16_t) aij
// unaryop: cij = -aij
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
int16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = -x ;
// casting
#define GB_CASTING(z, aij) \
int16_t z = (int16_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_AINV || GxB_NO_INT16 || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__ainv_int16_int32
(
int16_t *Cx, // Cx and Ax may be aliased
int32_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__ainv_int16_int32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
pr81687-2.c | /* PR c/81687 */
/* { dg-do link } */
/* { dg-additional-options "-O2" } */
int
main ()
{
__label__ lab4, lab5, lab6;
volatile int l = 0;
int m = l;
void foo (int x) { if (x == 1) goto lab4; }
void bar (int x) { if (x == 2) goto lab5; }
void baz (int x) { if (x == 3) goto lab6; }
#pragma omp parallel
{
foo (m + 1);
lab4:;
}
#pragma omp task
{
bar (m + 2);
lab5:;
}
baz (m + 3);
lab6:;
return 0;
}
|
Process.h | #ifndef PROCESS_H_
#define PROCESS_H_
/* =========================================================================
Copyright (c) 2008-2015, Institute for Microelectronics, TU Wien.
-----------------
ViennaTS - The Vienna Topography Simulator
-----------------
Contact: viennats@iue.tuwien.ac.at
License: MIT (X11), see file LICENSE in the base directory
============================================================================= */
#include "Time.h"
#include "calc.h"
#include <vector>
#include <fstream>
#include <string>
#include <list>
#include <algorithm>
#include <iostream>
#define BOOST_NO_HASH
#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/connected_components.hpp>
#include "message.h"
#include "Partition/PartitionNeighborLinksArrays.h"
#include "Partition/PartitionUpDownLinkTree.h"
#include "Partition/PartitionFullGrid.h"
#include "./LSlib/vector.hpp"
#include "boundaries.h"
///Process related objects and methods.
namespace proc {
template <class LevelSetType> void AddLayer(std::list<LevelSetType>& LS, int num_layers) {
for (int i=0;i<num_layers;++i) {
LS.push_back(LS.back());
LS.back().set_levelset_id();
}
for (int i=0;i>num_layers;--i) {
assert(LS.size()>=2);
LS.erase((LS.end()--)--);
}
}
template <class LevelSetsType> void DetermineTopMostLayer(
const LevelSetsType& LS,
std::vector<unsigned int>& PointMaterials) {
//this function determines the materials of the most top levelset
typedef typename LevelSetsType::value_type LevelSetType;
PointMaterials.clear();
PointMaterials.resize(LS.back().num_active_pts());
typename LevelSetType::points_type segmentation=LS.back().get_new_segmentation();
#pragma omp for schedule(static, 1) // parallelization - Iterations divided into chunks of size 1. Each chunk is assigned to a thread
for (int p=0;p<= static_cast<int>(segmentation.size());++p) {
typename LevelSetType::point_type begin_v=(p==0)?LS.back().grid().min_point_index():segmentation[p-1];
typename LevelSetType::point_type end_v=(p!=static_cast<int>(segmentation.size()))?segmentation[p]:LS.back().grid().increment_indices(LS.back().grid().max_point_index());
//iterator necessary to access
std::vector< typename LevelSetType::const_iterator_runs> ITs;
for (typename LevelSetsType::const_iterator it=LS.begin();&(*it)!=&(LS.back());++it) ITs.push_back(typename LevelSetType::const_iterator_runs(*it,begin_v));
for (typename LevelSetType::const_iterator_runs it(LS.back(),begin_v );it.start_indices()<end_v;it.next()) {
if (!it.is_active()) continue;
const typename LevelSetType::value_type d=it.value2();
int z=LS.size()-1;
for (;z>0;z--) {
ITs[z-1].go_to_indices_sequential(it.start_indices());
if (d<ITs[z-1].value()) break;
}
PointMaterials[it.active_pt_id2()]=LS.size()-1-z;
}
}
}
namespace {
template <class I1, class I2>
bool connected(const I1& it1, const I2& it2) {
return (it1.sign()==it2.sign());
}
}
template <class LStype> std::pair<unsigned int, unsigned int> CalculateConnectivities(
const LStype& l,
std::vector<bool>& Connectivities,
bool is_open_boundary_negative) {
const int D=LStype::dimensions;
boost::adjacency_list <boost::setS, boost::vecS, boost::undirectedS> Graph;
unsigned int num_components=0;
//unsigned int total_number_of_runs=0;
//allocate memory for component list
// std::vector<int> comp_lst[l.number_of_segments()][D+1];
// std::vector<int> *comp_lst = new std::vector<int> [l.number_of_segments()][D+1];
std::vector<int>** comp_lst = new std::vector<int>* [l.number_of_segments()];
for (unsigned int i=0;i<l.number_of_segments();++i) {
comp_lst[i] = new std::vector<int>[D+1];
}
for (unsigned int sub=0;sub<l.number_of_segments();++sub) {
for (int i = -1;i<D;++i) {
comp_lst[sub][i+1].resize(l.number_of_runs(i,sub),-1);
//total_number_of_runs+=l.number_of_runs(i,sub);
}
}
bool is_first_run=true;
int node_of_first_run=0;
int node_of_last_run=0;
//cycle through
for (typename LStype::template const_iterator_neighbor_filtered<typename LStype::filter_all,1> it(l);!it.is_finished();it.next()) {
int & tc = comp_lst[it.center().get_segment_num()][it.center().get_level()][it.center().run_type_position()];
if (tc==-1) {
for (int k=0;k<2*D;++k) {
const int & tn= comp_lst[it.neighbor(k).get_segment_num()][it.neighbor(k).get_level()][it.neighbor(k).run_type_position()];
if (tn!=-1) {
if (connected(it.center(),it.neighbor(k))) {
tc=tn;
break;
}
}
}
}
if (tc==-1) {
tc=num_components;
boost::add_vertex(Graph);
++num_components;
}
for (int k=0;k<2*D;++k) {
int & tn= comp_lst[it.neighbor(k).get_segment_num()][it.neighbor(k).get_level()][it.neighbor(k).run_type_position()];
if (connected(it.center(),it.neighbor(k))) {
if (tn!=-1) {
if (tc!=tn) boost::add_edge(tc,tn,Graph);
} else {
tn=tc;
}
}
}
if (is_first_run) {
is_first_run=false;
node_of_first_run=tc;
}
node_of_last_run=tc;
}
assert(boost::num_vertices(Graph)==num_components);
std::vector<int> component(boost::num_vertices(Graph));
unsigned int num_components_after = connected_components(Graph, &component[0]);
//determine component number of source region
int source_node=(is_open_boundary_negative)?component[node_of_first_run]:component[node_of_last_run];
Connectivities.clear();
for (typename LStype::template const_iterator_neighbor_filtered<typename LStype::filter_active,1> it(l);!it.is_finished();it.next()) {
if (it.center().sign()==lvlset::POS_SIGN) {
assert(it.center().get_level()==0);
assert(it.center().get_segment_num()<l.number_of_segments());
Connectivities.push_back(component[comp_lst[it.center().get_segment_num()][0][it.center().run_type_position()]]==source_node); //TODO
} else {
int k;
for (k=0;k<2*D;++k) {
if (component[comp_lst[it.neighbor(k).get_segment_num()][it.neighbor(k).get_level()][it.neighbor(k).run_type_position()]]==source_node) break;
}
Connectivities.push_back(k!=2*D);
}
}
for(unsigned int i=0;i<l.number_of_segments();++i)
{
delete[] comp_lst[i];
}
delete[] comp_lst;
return std::make_pair(num_components, num_components_after);
}
template <class LStype> void CalculateVisibilities(
const LStype& l,
std::vector<bool>& Visibilities,
int open_boundary_direction,
bool is_open_boundary_negative) {
const int D=LStype::dimensions;
const typename LStype::value_type max=std::numeric_limits<typename LStype::value_type>::max();
Visibilities.resize(l.num_active_pts());
std::vector<typename LStype::index_type> old_indices(D-1-open_boundary_direction, std::numeric_limits<typename LStype::index_type>::max());
unsigned int size=1;
for (int i=0;i<open_boundary_direction;++i) {
assert(!l.grid().is_pos_boundary_infinite(i));
assert(!l.grid().is_neg_boundary_infinite(i));
size*=(l.grid().max_point_index(i)-l.grid().min_point_index(i)+1);
}
std::vector<typename LStype::value_type> min_values(size, max);
typename LStype::size_type id=0;
typename LStype::const_iterator_runs it(l,!is_open_boundary_negative);
while (!it.is_finished()) {
for (int i=0;i<D-1-open_boundary_direction;++i) {
bool b=false;
if (old_indices[i]!=it.start_indices(i+open_boundary_direction+1)) {
old_indices[i]=it.start_indices(i+open_boundary_direction+1);
b=true;
}
if (b) min_values.assign(size,max);
}
unsigned int pos_begin=0;
unsigned int pos_end=0;
for (int i=open_boundary_direction-1;i>=0;--i) {
pos_begin*=(l.grid().max_point_index(i)-l.grid().min_point_index(i)+1);
pos_end*=(l.grid().max_point_index(i)-l.grid().min_point_index(i)+1);
pos_begin+=(it.start_indices(i)-l.grid().min_point_index(i));
pos_end+=(it.end_indices(i)-l.grid().min_point_index(i));
}
if (it.is_active()) {
Visibilities[is_open_boundary_negative?id:(l.num_active_pts()-1-id)]=(it.value()<min_values.at(pos_begin));
++id;
}
for (unsigned int i=pos_begin; i<=pos_end;++i) min_values.at(i)=std::min(min_values.at(i), it.value());
if (is_open_boundary_negative) {
it.next();
} else {
it.previous();
}
}
assert(id==l.num_active_pts());
}
namespace {
///Holds information about the velocities of grid points
template <class ModelType, int Dimensions> class VelocityClass {
const ModelType& Model;
const double* NormalVector;
const double* Coverages;
const double* Rates;
const std::vector<bool>& Connectivities;
const std::vector<bool>& Visibilities;
public:
VelocityClass( const ModelType& m,
const double * n,
const double * c,
const double * r,
const std::vector<bool>& co,
const std::vector<bool>& vi
) : Model(m), NormalVector(n), Coverages(c), Rates(r), Connectivities(co), Visibilities(vi) {}
double operator()(unsigned int active_pt,int matnum) const {
double v;
Model.CalculateVelocity(
v,
calc::Make3DVector<Dimensions>(NormalVector+active_pt*Dimensions),
Coverages+active_pt*Model.CoverageStorageSize,
Rates+active_pt*Model.RatesStorageSize,
matnum,
(Model.CalculateConnectivities)?Connectivities[active_pt]:true,
(Model.CalculateVisibilities)?Visibilities[active_pt]:true
);
return v;
}
};
///Holds information about velocities of grid points.
template <class ModelType, int Dimensions> class VelocityClass2 {
const ModelType& Model;
const double* NormalVector;
const double* Coverages;
const double* Rates;
const std::vector<bool>& Connectivities;
const std::vector<bool>& Visibilities;
public:
VelocityClass2( const ModelType& m,
const double * n,
const double * c,
const double * r,
const std::vector<bool>& co,
const std::vector<bool>& vi
) : Model(m), NormalVector(n), Coverages(c), Rates(r), Connectivities(co), Visibilities(vi) {}
void scalar_velocity(double & v, unsigned int active_pt,int matnum) const {
Model.CalculateVelocity(
v,
calc::Make3DVector<Dimensions>(NormalVector+active_pt*Dimensions),
Coverages+active_pt*Model.CoverageStorageSize,
Rates+active_pt*Model.RatesStorageSize,
matnum,
(Model.CalculateConnectivities)?Connectivities[active_pt]:true,
(Model.CalculateVisibilities)?Visibilities[active_pt]:true);
}
void vector_velocity(double* v, unsigned int active_pt, double location, int matnum) const {
Model.CalculateVectorVelocity(
v,
calc::Make3DVector<Dimensions>(NormalVector+active_pt*Dimensions),
Coverages+active_pt*Model.CoverageStorageSize,
Rates+active_pt*Model.RatesStorageSize,
matnum,
(Model.CalculateConnectivities)?Connectivities[active_pt]:true,
(Model.CalculateVisibilities)?Visibilities[active_pt]:true);
}
};
///Holds all information about simulation in series data.
template <class ModelType, int Dimensions>
class DataAccessClass {
const ModelType& Model;
const double* Coverages;
const double* Rates;
const double* NormalVector;
const std::vector<unsigned int>& Materials;
const std::vector<bool>& Connectivities;
const std::vector<bool>& Visibilities;
bool OutputVelocities;
bool OutputCoverages;
bool OutputRates;
bool OutputMaterials;
public:
DataAccessClass( const ModelType& m,
const double * c,
const double * r,
const double * n,
const std::vector<unsigned int>& ma,
const std::vector<bool>& co,
const std::vector<bool>& vi,
bool out_v=false,
bool out_c=false,
bool out_r=false,
bool out_m=false
) : Model(m), Coverages(c), Rates(r), NormalVector(n), Materials(ma), Connectivities(co), Visibilities(vi), OutputVelocities(out_v), OutputCoverages(out_c), OutputRates(out_r), OutputMaterials(out_m) {}
int number_of_series() const {
return (1+ModelType::CoverageStorageSize+ModelType::RatesStorageSize+1);
}
template<class PT_ID_TYPE>
double get_series_data_double(PT_ID_TYPE active_pt_id, int series) const {
if (series==0) {
double v=0.;
unsigned int mat=0;
bool connected=true;
bool visible=true;
if (Materials.size()>0) mat= Materials[active_pt_id];
if (Connectivities.size()>0) connected=Connectivities[active_pt_id];
if (Visibilities.size()>0) visible=Visibilities[active_pt_id];
Model.CalculateVelocity(
v,
calc::Make3DVector<Dimensions>(NormalVector+active_pt_id*Dimensions),
Coverages+active_pt_id*Model.CoverageStorageSize,
Rates+active_pt_id*Model.RatesStorageSize,
mat,
connected,
visible
);
return v;
} else if (series<=ModelType::CoverageStorageSize) {
return Coverages[active_pt_id*ModelType::CoverageStorageSize+series-1];
} else if (series<=ModelType::CoverageStorageSize+ModelType::RatesStorageSize) {
return Rates[active_pt_id*ModelType::RatesStorageSize+series-ModelType::CoverageStorageSize-1];
} else {
unsigned int mat=0;
if (Materials.size()>0) mat= Materials[active_pt_id];
return mat;
}
return 0.;
}
template <class PT_ID_TYPE>
std::string get_series_data(PT_ID_TYPE active_pt_id, int series) const {
std::ostringstream out;
if (series==0) {
double v=0.;
unsigned int mat=0;
bool connected=true;
bool visible=true;
if (Materials.size()>0) mat= Materials[active_pt_id];
if (Connectivities.size()>0) connected=Connectivities[active_pt_id];
if (Visibilities.size()>0) visible=Visibilities[active_pt_id];
Model.CalculateVelocity(
v,
calc::Make3DVector<Dimensions>(NormalVector+active_pt_id*Dimensions),
Coverages+active_pt_id*Model.CoverageStorageSize,
Rates+active_pt_id*Model.RatesStorageSize,
mat,
connected,
visible
);
out << static_cast<float>(v);
} else if (series<=ModelType::CoverageStorageSize) {
out << static_cast<float>(Coverages[active_pt_id*ModelType::CoverageStorageSize+series-1]);
} else if (series<=ModelType::CoverageStorageSize+ModelType::RatesStorageSize) {
out << static_cast<float>(Rates[active_pt_id*ModelType::RatesStorageSize+series-ModelType::CoverageStorageSize-1]);
} else {
unsigned int mat=0;
if (Materials.size()>0) mat= Materials[active_pt_id];
out << mat;
}
return out.str();
}
std::string get_series_label(int series) const {
if (series==0) {
return std::string("Velocities");
} else if (series<=ModelType::CoverageStorageSize) {
std::ostringstream out;
out << "Coverage" << series-1;
return out.str();
} else if (series<=ModelType::CoverageStorageSize+ModelType::RatesStorageSize) {
std::ostringstream out;
out << "Rate" << series-ModelType::CoverageStorageSize-1;
return out.str();
} else {
return std::string("Material");
}
}
std::string get_series_type(int series) const {
if (series<=ModelType::CoverageStorageSize+ModelType::RatesStorageSize) {
return std::string("float");
} else {
return std::string("int");
}
}
bool get_series_output(int series) const {
if (series==0) {
return OutputVelocities;
} else if (series<=ModelType::CoverageStorageSize) {
return OutputCoverages;
} else if (series<=ModelType::CoverageStorageSize+ModelType::RatesStorageSize) {
return OutputRates;
} else {
return OutputMaterials;
}
}
};
}
template <class LevelSetsType, class ParameterType, class ProcessParameterType , class OutputInfoType> void ExecuteProcess(
LevelSetsType& LevelSets,
const model::Planarization& Model,
const ParameterType& Parameter,
const ProcessParameterType& ProcessParameter,
OutputInfoType & output_info
) {
typedef typename LevelSetsType::value_type LevelSetType;
LevelSets.push_back(LevelSetType(LevelSets.back().grid(), Model.get_coordinate()/Parameter.grid_delta, Parameter.open_boundary, Parameter.open_boundary_negative));
for (typename LevelSetsType::iterator it=LevelSets.begin();&(*it)!=&(LevelSets.back());++it) {
it->max(LevelSets.back()); //adjust all level set functions below the plane
it->prune(); //remove grid points which do not have at least one opposite signed neighbor
it->segment();
}
if (!Model.fill_up()) LevelSets.pop_back();
else LevelSets.back().set_levelset_id(); // we introduced new material, so it needs an ID
//TODO output and time
}
template <class LevelSetsType, class ParameterType, class ProcessParameterType, class OutputInfoType> void ExecuteProcess(
LevelSetsType& LevelSets,
const model::Mask& Model,
const ParameterType& Parameter,
const ProcessParameterType& ProcessParameter,
OutputInfoType & output_info
) {
typedef typename LevelSetsType::value_type LevelSetType;
const int D=LevelSetType::dimensions;
geometry::geometry<D> mask_geometry;
geometry::surface<D> mask_surface;
LevelSetType mask_ls(LevelSets.back().grid());
if(Model.file_name().find(".lvst") != std::string::npos){
mask_ls.import_levelset(Model.file_name());
} else {
if (Model.surface()) {
mask_surface.ReadVTK(Model.file_name(), Parameter.input_scale, Parameter.input_transformation,
Parameter.input_transformation_signs, Parameter.change_input_parity, Parameter.input_shift);
} else {
mask_geometry.Read(Model.file_name(),Parameter.input_scale,Parameter.input_transformation, Parameter.input_transformation_signs,
Parameter.change_input_parity, Parameter.material_mapping, Parameter.input_shift, Parameter.ignore_materials);
}
// manually set min and max to match original simulation
for(unsigned i=0; i<D; ++i){
if(LevelSets.back().grid().boundary_conditions(i) != lvlset::INFINITE_BOUNDARY){
mask_geometry.Min[i] = LevelSets.back().grid().min_grid_index(i)*Parameter.grid_delta;
mask_geometry.Max[i] = LevelSets.back().grid().max_grid_index(i)*Parameter.grid_delta;
}
}
// mask_geometry.Read(Model.file_name(), Parameter.input_scale, Parameter.input_transformation, Parameter.input_transformation_signs, Parameter.change_input_parity, Parameter.material_mapping, Parameter.input_shift, Parameter.ignore_materials);
typedef std::list<geometry::surface<D> > SurfacesType;
SurfacesType Surfaces;
if (Model.surface()) {
Surfaces.push_back(mask_surface);
} else {
std::bitset<2*D> remove_flags;
for (int i=0;i<D;++i) {
if (Parameter.boundary_conditions[i].min==bnc::PERIODIC_BOUNDARY ||
Parameter.boundary_conditions[i].min==bnc::REFLECTIVE_BOUNDARY ||
Parameter.boundary_conditions[i].min==bnc::EXTENDED_BOUNDARY) {
remove_flags.set(i);
} else if (i==Parameter.open_boundary && !Parameter.open_boundary_negative && Model.remove_bottom()) {
remove_flags.set(i);
}
if (Parameter.boundary_conditions[i].min==bnc::PERIODIC_BOUNDARY ||
Parameter.boundary_conditions[i].min==bnc::REFLECTIVE_BOUNDARY ||
Parameter.boundary_conditions[i].min==bnc::EXTENDED_BOUNDARY) {
remove_flags.set(i+D);
} else if (i==Parameter.open_boundary && Parameter.open_boundary_negative && Model.remove_bottom()) {
remove_flags.set(i+D);
}
}
msg::print_start("Extract surface and interfaces...");
geometry::TransformGeometryToSurfaces(mask_geometry, Surfaces, remove_flags, Parameter.grid_delta*Parameter.snap_to_boundary_eps, Parameter.report_import_errors);
msg::print_done();
}
msg::print_start("Distance transformation...");
//LevelSetType mask_ls(LevelSets.back().grid());
init(mask_ls,Surfaces.back(),Parameter.report_import_errors);
msg::print_done();
}
// only put mask, where no other LS was before
if(!Model.ignore_other_materials()){
mask_ls.invert();
for(auto LS=LevelSets.begin(); LS != LevelSets.end(); ++LS){
mask_ls.min(*LS);
}
mask_ls.invert();
}
// wrap all higher levelsets around mask before pushing it to the front
for(auto LS=LevelSets.begin(); LS != LevelSets.end(); ++LS){
LS->min(mask_ls);
}
// now put the mask as the lowest levelset
LevelSets.push_front(mask_ls);
LevelSets.front().set_levelset_id();
//TODO output and time
}
template <class LevelSetsType, class ParameterType, class ProcessParameterType, class OutputInfoType> void ExecuteProcess(
LevelSetsType& LevelSets,
const model::BooleanOps& Model,
const ParameterType& Parameter,
const ProcessParameterType& ProcessParameter,
OutputInfoType & output_info
) {
typedef typename LevelSetsType::value_type LevelSetType;
const int D=LevelSetType::dimensions;
LevelSetType* boolop_ls;
if(!Model.file_name().empty()){
geometry::geometry<D> boolop_geometry;
geometry::surface<D> boolop_surface;// = new geometry::surface<D>;
if (Model.surface()) {
boolop_surface.ReadVTK(Model.file_name(), Parameter.input_scale, Parameter.input_transformation,
Parameter.input_transformation_signs, Parameter.change_input_parity, Parameter.input_shift);
} else {
boolop_geometry.Read(Model.file_name(),Parameter.input_scale,Parameter.input_transformation, Parameter.input_transformation_signs,
Parameter.change_input_parity, Parameter.material_mapping, Parameter.input_shift, Parameter.ignore_materials);
}
typedef std::list<geometry::surface<D> > SurfacesType;
SurfacesType Surfaces;
if (Model.surface()) {
Surfaces.push_back(boolop_surface);
} else {
std::bitset<2*D> remove_flags;
for (int i=0;i<D;++i) {
if (Parameter.boundary_conditions[i].min==bnc::PERIODIC_BOUNDARY ||
Parameter.boundary_conditions[i].min==bnc::REFLECTIVE_BOUNDARY ||
Parameter.boundary_conditions[i].min==bnc::EXTENDED_BOUNDARY) {
remove_flags.set(i);
} else if (i==Parameter.open_boundary && !Parameter.open_boundary_negative && Model.remove_bottom()) {
remove_flags.set(i);
}
if (Parameter.boundary_conditions[i].min==bnc::PERIODIC_BOUNDARY ||
Parameter.boundary_conditions[i].min==bnc::REFLECTIVE_BOUNDARY ||
Parameter.boundary_conditions[i].min==bnc::EXTENDED_BOUNDARY) {
remove_flags.set(i+D);
} else if (i==Parameter.open_boundary && Parameter.open_boundary_negative && Model.remove_bottom()) {
remove_flags.set(i+D);
}
}
//std::cout << "transform to surface\n";
geometry::TransformGeometryToSurfaces(boolop_geometry, Surfaces, remove_flags, Parameter.grid_delta*Parameter.snap_to_boundary_eps, Parameter.report_import_errors);
}
LevelSetType dummy_ls(LevelSets.back().grid());
init(dummy_ls,Surfaces.back(),Parameter.report_import_errors);
boolop_ls = &dummy_ls;
} else if(Model.levelset()>=0){ //If internal levelset should be used
typename LevelSetsType::iterator it = LevelSets.begin();
for(int i=0; i<Model.levelset(); ++i) ++it;
boolop_ls = &(*it);
} else{
return;
}
if (Model.level()>0) {
if (Model.invert()) boolop_ls->invert();
int j=0;
typename LevelSetsType::iterator ls_it = LevelSets.begin();
for (;j<static_cast<int>(LevelSets.size())-Model.level();++j) {
++ls_it;
}
while (ls_it!=LevelSets.end()) {
ls_it->min(*boolop_ls);
ls_it->prune();
ls_it->segment();
++ls_it;
}
if (Model.invert() && Model.levelset()>=0) boolop_ls->invert(); //Invert again so that the original levelset is not changed
} else if(Model.level()<0){
if (Model.invert()) boolop_ls->invert();
int j=0;
typename LevelSetsType::iterator ls_it_old = LevelSets.begin();
typename LevelSetsType::iterator ls_it = LevelSets.begin();
for (;j<static_cast<int>(LevelSets.size())+Model.level();++j) {
ls_it_old=ls_it;
++ls_it;
}
if(!Model.wrap_surface()) j=0;
while (ls_it!=LevelSets.end()) {
ls_it->max(*boolop_ls);
if (j>0) ls_it->min(*ls_it_old);
ls_it->prune();
ls_it->segment();
++ls_it;
}
if (Model.invert() && Model.levelset()>=0) boolop_ls->invert(); //Invert again so that the original levelset is not changed
}
// remove levelset used for booling if specified
if(Model.levelset()>=0 && Model.remove_levelset()){
auto it=LevelSets.begin();
for(int i=0; i<Model.levelset(); ++i) ++it;
LevelSets.erase(it);
}
//Write one output if there is any output time or there is final output
if(!(!ProcessParameter.output_times.empty() || ProcessParameter.final_output)) return;
{
std::ostringstream oss;
oss << "Writing output " << output_info.output_counter;
//oss << " (time = " << RelativeTime << ")...";
msg::print_start(oss.str());
}
typename LevelSetsType::iterator it=LevelSets.begin();
for (unsigned int i=0;i<LevelSets.size();i++) {
it->prune();
if (Parameter.print_dx) {
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".dx";
#ifdef VERBOSE
msg::print_message("print dx");
#endif
write_explicit_surface_opendx(*it,oss.str());
}
if (Parameter.print_vtk) {
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".vtk";
#ifdef VERBOSE
msg::print_message("print vtk");
#endif
write_explicit_surface_vtk(*it,oss.str());
}
if (Parameter.print_lvst) {
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".lvst";
#ifdef VERBOSE
msg::print_message("print lvst");
#endif
it->export_levelset(oss.str(), Parameter.bits_per_distance);
}
it++;
}
output_info.output_counter++;
msg::print_done();
}
//Topography simulation - execute a topography changing process according to required model and parameters
template <class LevelSetsType, class ModelType, class ParameterType, class ProcessParameterType, class OutputInfoType> void ExecuteProcess(
LevelSetsType& LevelSets,
const ModelType& Model,
const ParameterType& Parameter,
const ProcessParameterType& ProcessParameter,
OutputInfoType & output_info,
std::vector<double>& Coverages//,
// std::vector<double> Rates//,
// int step_cycle
) {
const int D=LevelSetsType::value_type::dimensions;
const std::vector<double> & OutputTimes=ProcessParameter.output_times; //vector of times when output will be recorded
std::vector<double>::const_iterator OutputTimesIter = OutputTimes.begin();
//std::lower_bound(OutputTimes.begin(), OutputTimes.end(), AbsoluteTime);
//----------------------------------------------------------------------------------------------------------------------------------------
// while (LevelSets.size()>1) {
// LevelSets.pop_back();
// }
// typedef typename LevelSetsType::value_type LevelSetType;
// LevelSets.push_front(LevelSetType(LevelSets.back().grid(), 0, Parameter.open_boundary, !Parameter.open_boundary_negative));
//----------------------------------------------------------------------------------------------------------------------------------------
int init_cycles=ProcessParameter.StartIterationCycles; //number of initial iteration cycles
int rec_cycles=ProcessParameter.IterationCycles; //number of subsequent iteration cycles
geom::cells<ParameterType::Dimension> Cells;
// std::vector<double> Coverages(std::max(LevelSets.back().num_active_pts()* Model.CoverageStorageSize,1u),0.);
std::vector<double> Rates(1,0);
std::vector<double> NormalVectors;
std::vector<double> DistancesToReceiver;
std::vector<unsigned int> PointMaterials;
std::vector<bool> Connectivities;
std::vector<bool> Visibilities;
//time statistics
const std::string TimeStatFileName=Parameter.output_path+"StatisticsTimes.cvs";
std::ofstream f;
//unsigned int LineNumber;
if (Parameter.print_statistics) {
if(!std::ifstream(TimeStatFileName.c_str())) {
#ifdef VERBOSE
msg::print_message("Print Header in StatisticsTimes.cvs");
#endif
f.open(TimeStatFileName.c_str());
f << "Time for expansion" <<";";
f << "Time for normal vector calc." <<";";
f << "Determining materials" <<";";
f << "Determining connectivities" <<";";
f << "Reduced graph num vertices" <<";";
f << "num componenets" <<";";
f << "Time for smoothing" <<";";
f << "Determining visibilities" <<";";
f << "Setup active cells" <<";";
f << "Setup partition" <<";";
f << "Rate calculation" <<";";
f << "Memory Ray Tracing Data Structure"<<";";
f << "Level set time integration" <<";";
f << "Output" <<";";
f << "Time for Output" <<";";
f << "Total time step excl. Output" <<";";
f << "Total time step incl. Output" <<";"; //TODO
f << "Chosen time step" <<";"; //TODO
f << "Time" <<";"; //TODO
f << "Left Time" <<std::endl;
f.close();
}
}
const double & ProcessTime = ProcessParameter.ProcessTime;
double RelativeTime=0;
//while ((OutputTimesIter!=OutputTimes.end()) && (RelativeTime>*OutputTimesIter)) ++OutputTimesIter;
#ifdef VERBOSE
msg::print_message("Start loop over time");
#endif
while(true) {
// std::vector<double>& Coverages_temp = Coverages;
double TimeTotalExclOutput=-my::time::GetTime();
double TimeTotalInclOutput=-my::time::GetTime();
double TimeExpansion=0;
double TimeNormals=0;
double TimeMaterials=0;
double TimeCells=0;
double TimePartition=0;
double TimeRates=0;
double TimeTimeIntegration=0;
double TimeOutput=0;
double TimeConnectivities=0;
double TimeVisibilities=0;
double TimeSmoothing=0;
double ray_tracing_memory=0;
unsigned int graph_size=0;
unsigned int num_components=0;
bool MakeOutput=false;
if (OutputTimesIter!=OutputTimes.end()) {
assert(RelativeTime<=*OutputTimesIter);
if (RelativeTime==*OutputTimesIter) {
MakeOutput=true;
OutputTimesIter++;
}
}
//if ((RelativeTime==EndTime) && (ProcessParameter.final_output)) MakeOutput=true;
//if ((RelativeTime==StartTime) && (ProcessParameter.initial_output)) MakeOutput=true;
if (!MakeOutput) if (RelativeTime==ProcessTime) break;
//###########################
// smooth surface level set
//###########################
if (ProcessParameter.smoothing_material_level>0) {
#ifdef VERBOSE
msg::print_message("smoothing");
#endif
TimeSmoothing-=my::time::GetTime();
double time_step;
int dummy;
int counter=0;
do {
time_step=lvlset::time_integrate(
LevelSets,
dummy,
lvlset::SMOOTHING_SCHEME(ProcessParameter.smoothing_material_level, ProcessParameter.smoothing_max_curvature, ProcessParameter.smoothing_min_curvature),
Parameter.cfl_condition,
std::numeric_limits<double>::max(),
Coverages,
Model.CoverageStorageSize);
counter++;
} while (time_step!=std::numeric_limits<double>::max() && counter < ProcessParameter.smoothing_max_iterations);
if (time_step!=std::numeric_limits<double>::max()) {
msg::print_message("maximum number of iterations reached during smoothing operation");
}
TimeSmoothing+=my::time::GetTime();
}
/*
//Output statistics for level sets
if (Parameter.print_statistics) {
TimeTotalExclOutput+=my::time::GetTime();
int i=0;
for (typename LevelSetsType::iterator it=LevelSets.begin();it!=LevelSets.end();++it) {
std::ostringstream tmp;
tmp << Parameter.output_path << "StatisticsLevelSet" << i << ".cvs";
lvlset::misc::PrintStatistics(*it, tmp.str());
i++;
}
TimeTotalExclOutput-=my::time::GetTime();
}
*/
if (Model.ReemissionIsMaterialDependent) {
#ifdef VERBOSE
msg::print_message("determine top most layer");
#endif
TimeMaterials-=my::time::GetTime();
DetermineTopMostLayer(LevelSets, PointMaterials);
TimeMaterials+=my::time::GetTime();
}
if (Model.CalculateConnectivities) {
#ifdef VERBOSE
msg::print_message("calculate connectivities");
#endif
TimeConnectivities-=my::time::GetTime();
std::pair<unsigned int, unsigned int> x=CalculateConnectivities(LevelSets.back(), Connectivities, Parameter.open_boundary_negative);
graph_size=x.first;
num_components=x.second;
TimeConnectivities+=my::time::GetTime();
}
if (Model.CalculateVisibilities) {
#ifdef VERBOSE
msg::print_message("calculate visibilities");
#endif
TimeVisibilities-=my::time::GetTime();
CalculateVisibilities(LevelSets.back(), Visibilities, Parameter.open_boundary, Parameter.open_boundary_negative);
TimeVisibilities+=my::time::GetTime();
}
if ((Model.CalculateNormalVectors) || (Model.NumberOfParticleTypes>0)){
#ifdef VERBOSE
msg::print_message("expansion");
#endif
TimeExpansion-=my::time::GetTime();
LevelSets.back().expand(3);
TimeExpansion+=my::time::GetTime();
#ifdef VERBOSE
msg::print_message("normal vector calculation");
#endif
TimeNormals-=my::time::GetTime();
calc::CalculateNormalVectors(LevelSets.back(), NormalVectors, DistancesToReceiver, Parameter.open_boundary, Parameter.open_boundary_negative, Parameter.receptor_radius, lvlset::vec<double,D>(Parameter.default_disc_orientation));
TimeNormals+=my::time::GetTime();
}
double MaxStep=0;
if (Model.NumberOfParticleTypes>0) {
#ifdef VERBOSE
msg::print_message("start monte carlo");
#endif
std::vector<lvlset::vec<int,ParameterType::Dimension > > CellCoordinates;
TimeExpansion-=my::time::GetTime();
LevelSets.back().add_voxel_corners();
TimeExpansion+=my::time::GetTime();
TimeCells-=my::time::GetTime();
calc::SetupCells(LevelSets.back(),Cells, CellCoordinates, NormalVectors, DistancesToReceiver, Parameter.receptor_radius);
TimeCells+=my::time::GetTime();
typedef typename calc::PartitionTraits<ParameterType> tmp_type;
#ifdef COMPILE_PARTITION_NEIGHBOR_LINKS_ARRAYS
if (ProcessParameter.partition_data_structure==partition::NEIGHBOR_LINKS_ARRAYS) {
partition::NeighborLinksArrays<tmp_type> Partition;
TimePartition-=my::time::GetTime();
Partition.Setup(0, Cells.size(), CellCoordinates, LevelSets.back().grid().boundary_conditions(),ProcessParameter.partition_splitting_strategy,ProcessParameter.partition_surface_area_heuristic_lambda);
TimePartition+=my::time::GetTime();
ray_tracing_memory=Partition.get_memory();
if (Parameter.print_statistics) {
TimeTotalExclOutput+=my::time::GetTime();
Partition.PrintStatistics(Parameter.output_path+"StatisiticsPartition.cvs");
TimeTotalExclOutput-=my::time::GetTime();
}
TimeRates-=my::time::GetTime();
do {
calc::CalculateRates(Model,Parameter,Partition,LevelSets.back(),NormalVectors,DistancesToReceiver,Coverages,Rates,PointMaterials,Cells,RelativeTime);
//std::cout << "RelativeTime = " << RelativeTime << "\n";
calc::UpdateCoverages(Rates, Coverages, Model, MaxStep);//, RelativeTime);
// //std::cout << "MaxStep = " << MaxStep << "\n";
init_cycles--;
} while (init_cycles>=0);
init_cycles=rec_cycles;
TimeRates+=my::time::GetTime();
}
#endif
#ifdef COMPILE_PARTITION_FULL_GRID
if (ProcessParameter.partition_data_structure==partition::FULL_GRID) {
partition::FullGrid<tmp_type> Partition;
TimePartition-=my::time::GetTime();
Partition.Setup(0, Cells.size(), CellCoordinates, LevelSets.back().grid().boundary_conditions(),ProcessParameter.partition_splitting_strategy,ProcessParameter.partition_surface_area_heuristic_lambda);
TimePartition+=my::time::GetTime();
ray_tracing_memory=Partition.get_memory();
if (Parameter.print_statistics) {
TimeTotalExclOutput+=my::time::GetTime();
Partition.PrintStatistics(Parameter.output_path+"StatisiticsPartition.cvs");
TimeTotalExclOutput-=my::time::GetTime();
}
TimeRates-=my::time::GetTime();
do {
calc::CalculateRates(Model,Parameter,Partition,LevelSets.back(),NormalVectors,DistancesToReceiver,Coverages,Rates,PointMaterials,Cells,RelativeTime);
calc::UpdateCoverages(Rates, Coverages, Model, MaxStep);//, RelativeTime);
init_cycles--;
} while (init_cycles>=0);
init_cycles=rec_cycles;
TimeRates+=my::time::GetTime();
}
#endif
#ifdef COMPILE_UP_DOWN_LINKED_TREE
if (ProcessParameter.partition_data_structure==partition::UP_DOWN_LINKED_TREE) {
partition::UpDownLinkTree<tmp_type> Partition;
TimePartition-=my::time::GetTime();
Partition.Setup(0, Cells.size(), CellCoordinates, LevelSets.back().grid().boundary_conditions(),ProcessParameter.partition_splitting_strategy,ProcessParameter.partition_surface_area_heuristic_lambda);
TimePartition+=my::time::GetTime();
ray_tracing_memory=Partition.get_memory();
if (Parameter.print_statistics) {
TimeTotalExclOutput+=my::time::GetTime();
Partition.PrintStatistics(Parameter.output_path+"StatisiticsPartition.cvs");
TimeTotalExclOutput-=my::time::GetTime();
}
TimeRates-=my::time::GetTime();
do {
calc::CalculateRates(Model,Parameter,Partition,LevelSets.back(),NormalVectors,DistancesToReceiver,Coverages,Rates,PointMaterials,Cells,RelativeTime);
calc::UpdateCoverages(Rates, Coverages, Model, MaxStep);//, RelativeTime);
init_cycles--;
} while (init_cycles>=0);
init_cycles=rec_cycles;
TimeRates+=my::time::GetTime();
}
#endif
}
//#######################################
// output
//#######################################
TimeTotalExclOutput+=my::time::GetTime();
TimeOutput-=my::time::GetTime();
if (MakeOutput) {
#ifdef VERBOSE
msg::print_message("make output");
#endif
DataAccessClass<ModelType, ParameterType::Dimension> Data( Model,
&Coverages[0],
&Rates[0],
&NormalVectors[0],
PointMaterials,
Connectivities,
Visibilities,
ProcessParameter.print_velocities || Parameter.print_velocities,
ProcessParameter.print_coverages || Parameter.print_coverages,
ProcessParameter.print_rates || Parameter.print_rates,
ProcessParameter.print_materials || Parameter.print_materials
);
{
std::ostringstream oss;
oss << "Writing output " << output_info.output_counter;
oss << " (time = " << RelativeTime << ")...";
msg::print_start(oss.str());
}
typename LevelSetsType::iterator it=LevelSets.begin();
for (unsigned int i=0;i<LevelSets.size();i++) {
it->prune();
if (Parameter.print_dx) {
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".dx";
#ifdef VERBOSE
msg::print_message("print dx");
#endif
if (i!=LevelSets.size()-1) {
write_explicit_surface_opendx(*it,oss.str());
} else {
write_explicit_surface_opendx(*it,oss.str(), Data);
}
}
if (Parameter.print_vtk) {
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".vtk";
#ifdef VERBOSE
msg::print_message("print vtk");
#endif
if (i!=LevelSets.size()-1) {
write_explicit_surface_vtk(*it,oss.str());
} else {
write_explicit_surface_vtk(*it,oss.str(), Data);
}
}
if (Parameter.print_lvst) {
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".lvst";
#ifdef VERBOSE
msg::print_message("print lvst");
#endif
it->export_levelset(oss.str(), Parameter.bits_per_distance);
}
it++;
}
output_info.output_counter++;
msg::print_done();
}
TimeOutput+=my::time::GetTime();
TimeTotalExclOutput-=my::time::GetTime();
// //std::cout << "Relative Time: " << RelativeTime << "\n";
bool is_finished=(RelativeTime==ProcessTime);
//#######################################
// time integration
//#######################################
#ifdef VERBOSE
msg::print_message("time integration");
#endif
double time_step=0;
if (!is_finished) {
//determine next time stop
double NextTimeStop=std::min(ProcessTime, std::min(RelativeTime+ProcessParameter.MaxTimeStep,RelativeTime+MaxStep));
if (OutputTimesIter!=OutputTimes.end()) NextTimeStop=std::min(NextTimeStop, *OutputTimesIter);
double MaxTimeStep=NextTimeStop-RelativeTime;
// //std::cout << "MaxTimeStep = " << MaxTimeStep << "\n";
if (ProcessParameter.FiniteDifferenceScheme==ENGQUIST_OSHER_1ST_ORDER) {
VelocityClass2<ModelType, ParameterType::Dimension> Velocities(Model, &NormalVectors[0], &Coverages[0], &Rates[0], Connectivities, Visibilities);
LevelSetsType& LevelSets_temp=LevelSets;
TimeExpansion-=my::time::GetTime();
LevelSets_temp.back().expand(3);
TimeExpansion+=my::time::GetTime();
TimeTimeIntegration-=my::time::GetTime();
time_step=lvlset::time_integrate(
LevelSets_temp,
Velocities,
lvlset::ENGQUIST_OSHER_SV_1ST_ORDER,
Parameter.cfl_condition,
MaxTimeStep,
Coverages,
Model.CoverageStorageSize);
// if (time_step == MaxTimeStep) {
// LevelSets.back().expand(3);
// LevelSets=LevelSets_temp;
// } else {
// continue;
// }
TimeTimeIntegration+=my::time::GetTime();
} else if (ProcessParameter.FiniteDifferenceScheme==ENGQUIST_OSHER_2ND_ORDER) {
VelocityClass2<ModelType, ParameterType::Dimension> Velocities(Model, &NormalVectors[0], &Coverages[0], &Rates[0], Connectivities, Visibilities);
TimeExpansion-=my::time::GetTime();
LevelSets.back().expand(5);
TimeExpansion+=my::time::GetTime();
TimeTimeIntegration-=my::time::GetTime();
time_step=lvlset::time_integrate(
LevelSets,
Velocities,
lvlset::ENGQUIST_OSHER_SV_2ND_ORDER,
Parameter.cfl_condition,
MaxTimeStep,
Coverages,
Model.CoverageStorageSize);
TimeTimeIntegration+=my::time::GetTime();
} else if (ProcessParameter.FiniteDifferenceScheme==LAX_FRIEDRICHS_1ST_ORDER) { //TODO
VelocityClass<ModelType, ParameterType::Dimension> Velocities(Model, &NormalVectors[0], &Coverages[0], &Rates[0], Connectivities, Visibilities);
TimeExpansion-=my::time::GetTime();
LevelSets.back().expand(3);
TimeExpansion+=my::time::GetTime();
TimeTimeIntegration-=my::time::GetTime();
time_step=lvlset::time_integrate(
LevelSets,
Velocities,
lvlset::LAX_FRIEDRICHS_SCALAR_1ST_ORDER(ProcessParameter.LaxFriedrichsDissipationCoefficient),
Parameter.cfl_condition,
MaxTimeStep,
Coverages,
Model.CoverageStorageSize);
TimeTimeIntegration+=my::time::GetTime();
} else assert(0);
if (time_step>=MaxTimeStep) {
assert(time_step==MaxTimeStep);
time_step=MaxTimeStep;
RelativeTime=NextTimeStop;
} else {
RelativeTime+=time_step;
}
}
TimeTotalExclOutput+=my::time::GetTime();
TimeTotalInclOutput+=my::time::GetTime();
//#######################################
// print statistics
//#######################################
if (Parameter.print_statistics) {
#ifdef VERBOSE
msg::print_message("print statistics");
#endif
f.open(TimeStatFileName.c_str(),std::ios_base::app);
f<<TimeExpansion <<";";
f<<TimeNormals <<";";
f<<TimeMaterials <<";";
f<<TimeConnectivities <<";";
f<<graph_size <<";";
f<<num_components <<";";
f<<TimeSmoothing <<";";
f<<TimeVisibilities <<";";
f<<TimeCells <<";";
f<<TimePartition <<";";
f<<TimeRates <<";";
f<<ray_tracing_memory <<";";
f<<TimeTimeIntegration <<";";
f<<MakeOutput <<";";
f<<TimeOutput <<";";
f<<TimeTotalExclOutput <<";";
f<<TimeTotalInclOutput <<";";
f<<time_step <<";";
f<<RelativeTime <<";";
f<<(ProcessTime-RelativeTime) << std::endl;
f.close();
}
if (is_finished) break;
}
}
///Includes loop over full process time to run the simulation.
template <class LevelSetsType, class ModelType, class ParameterType, class ProcessParameterType, class OutputInfoType> void ExecuteProcess(
LevelSetsType& LevelSets,
const ModelType& Model,
const ParameterType& Parameter,
const ProcessParameterType& ProcessParameter,
OutputInfoType & output_info
) {
const int D=LevelSetsType::value_type::dimensions;
const std::vector<double> & OutputTimes=ProcessParameter.output_times; //vector of times when output will be recorded
const std::vector<double> & OutputVolume=ProcessParameter.output_volume; //vector of times for volume output
std::vector<double>::const_iterator OutputTimesIter = OutputTimes.begin();
std::vector<double>::const_iterator OutputVolumeIter = OutputVolume.begin();
//std::lower_bound(OutputTimes.begin(), OutputTimes.end(), AbsoluteTime);
//----------------------------------------------------------------------------------------------------------------------------------------
// while (LevelSets.size()>1) {
// LevelSets.pop_back();
// }
// typedef typename LevelSetsType::value_type LevelSetType;
// LevelSets.push_front(LevelSetType(LevelSets.back().grid(), 0, Parameter.open_boundary, !Parameter.open_boundary_negative));
//----------------------------------------------------------------------------------------------------------------------------------------
int init_cycles=ProcessParameter.StartIterationCycles; //number of initial iteration cycles
int rec_cycles=ProcessParameter.IterationCycles; //number of subsequent iteration cycles
geom::cells<ParameterType::Dimension> Cells;
std::vector<double> Coverages(std::max(LevelSets.back().num_active_pts()* Model.CoverageStorageSize,1u),0.);
std::vector<double> Rates(1,0);
std::vector<double> NormalVectors;
std::vector<double> DistancesToReceiver;
std::vector<unsigned int> PointMaterials;
std::vector<bool> Connectivities;
std::vector<bool> Visibilities;
//time statistics
const std::string TimeStatFileName=Parameter.output_path + "StatisticsTimes.cvs";
std::ofstream f;
//unsigned int LineNumber;
if (Parameter.print_statistics) {
if(!std::ifstream(TimeStatFileName.c_str())) {
#ifdef VERBOSE
msg::print_message("Print Header in StatisticsTimes.cvs");
#endif
f.open(TimeStatFileName.c_str());
f << "Time for expansion" <<";";
f << "Time for normal vector calc." <<";";
f << "Determining materials" <<";";
f << "Determining connectivities" <<";";
f << "Reduced graph num vertices" <<";";
f << "num componenets" <<";";
f << "Time for smoothing" <<";";
f << "Determining visibilities" <<";";
f << "Setup active cells" <<";";
f << "Setup partition" <<";";
f << "Rate calculation" <<";";
f << "Memory Ray Tracing Data Structure"<<";";
f << "Level set time integration" <<";";
f << "Output" <<";";
f << "Time for Output" <<";";
f << "Total time step excl. Output" <<";";
f << "Total time step incl. Output" <<";"; //TODO
f << "Chosen time step" <<";"; //TODO
f << "Time" <<";"; //TODO
f << "Left Time" <<std::endl;
f.close();
}
}
const double & ProcessTime = ProcessParameter.ProcessTime;
double RelativeTime=0;
//while ((OutputTimesIter!=OutputTimes.end()) && (RelativeTime>*OutputTimesIter)) ++OutputTimesIter;
#ifdef VERBOSE
msg::print_message("Start loop over time");
#endif
while(true) {
double TimeTotalExclOutput=-my::time::GetTime();
double TimeTotalInclOutput=-my::time::GetTime();
double TimeExpansion=0;
double TimeNormals=0;
double TimeMaterials=0;
double TimeCells=0;
double TimePartition=0;
double TimeRates=0;
double TimeTimeIntegration=0;
double TimeOutput=0;
double TimeConnectivities=0;
double TimeVisibilities=0;
double TimeSmoothing=0;
double ray_tracing_memory=0;
unsigned int graph_size=0;
unsigned int num_components=0;
bool MakeOutput=false;
if (OutputTimesIter!=OutputTimes.end()) {
assert(RelativeTime<=*OutputTimesIter);
if (RelativeTime==*OutputTimesIter) {
MakeOutput=true;
OutputTimesIter++;
}
}
//VOLUME OUTPUT
bool VolumeOutput=false;
if(OutputVolumeIter!=OutputVolume.end()){
assert(RelativeTime<=*OutputVolumeIter);
if(RelativeTime==*OutputVolumeIter){
VolumeOutput=true;
OutputVolumeIter++;
}
}
//if ((RelativeTime==EndTime) && (ProcessParameter.final_output)) MakeOutput=true;
//if ((RelativeTime==StartTime) && (ProcessParameter.initial_output)) MakeOutput=true;
if (!MakeOutput && !VolumeOutput) if (RelativeTime==ProcessTime) break;
//###########################
// smooth surface level set
//###########################
if (ProcessParameter.smoothing_material_level>0) {
#ifdef VERBOSE
msg::print_message("smoothing");
#endif
TimeSmoothing-=my::time::GetTime();
double time_step;
int dummy;
int counter=0;
do {
time_step=lvlset::time_integrate(
LevelSets,
dummy,
lvlset::SMOOTHING_SCHEME(ProcessParameter.smoothing_material_level, ProcessParameter.smoothing_max_curvature, ProcessParameter.smoothing_min_curvature),
Parameter.cfl_condition,
std::numeric_limits<double>::max(),
Coverages,
Model.CoverageStorageSize);
counter++;
} while (time_step!=std::numeric_limits<double>::max() && counter < ProcessParameter.smoothing_max_iterations);
if (time_step!=std::numeric_limits<double>::max()) {
msg::print_message("maximum number of iterations reached during smoothing operation");
}
TimeSmoothing+=my::time::GetTime();
}
/*
//Output statistics for level sets
if (Parameter.print_statistics) {
TimeTotalExclOutput+=my::time::GetTime();
int i=0;
for (typename LevelSetsType::iterator it=LevelSets.begin();it!=LevelSets.end();++it) {
std::ostringstream tmp;
tmp << Parameter.output_path << "StatisticsLevelSet" << i << ".cvs";
lvlset::misc::PrintStatistics(*it, tmp.str());
i++;
}
TimeTotalExclOutput-=my::time::GetTime();
}
*/
if (Model.ReemissionIsMaterialDependent) {
#ifdef VERBOSE
msg::print_message("determine top most layer");
#endif
TimeMaterials-=my::time::GetTime();
DetermineTopMostLayer(LevelSets, PointMaterials);
TimeMaterials+=my::time::GetTime();
}
if (Model.CalculateConnectivities) {
#ifdef VERBOSE
msg::print_message("calculate connectivities");
#endif
TimeConnectivities-=my::time::GetTime();
std::pair<unsigned int, unsigned int> x=CalculateConnectivities(LevelSets.back(), Connectivities, Parameter.open_boundary_negative);
graph_size=x.first;
num_components=x.second;
TimeConnectivities+=my::time::GetTime();
}
if (Model.CalculateVisibilities) {
#ifdef VERBOSE
msg::print_message("calculate visibilities");
#endif
TimeVisibilities-=my::time::GetTime();
CalculateVisibilities(LevelSets.back(), Visibilities, Parameter.open_boundary, Parameter.open_boundary_negative);
TimeVisibilities+=my::time::GetTime();
}
if ((Model.CalculateNormalVectors) || (Model.NumberOfParticleTypes>0)){
#ifdef VERBOSE
msg::print_message("expansion");
#endif
TimeExpansion-=my::time::GetTime();
LevelSets.back().expand(3);
TimeExpansion+=my::time::GetTime();
#ifdef VERBOSE
msg::print_message("normal vector calculation");
#endif
TimeNormals-=my::time::GetTime();
calc::CalculateNormalVectors(LevelSets.back(), NormalVectors, DistancesToReceiver, Parameter.open_boundary, Parameter.open_boundary_negative, Parameter.receptor_radius, lvlset::vec<double,D>(Parameter.default_disc_orientation));
TimeNormals+=my::time::GetTime();
}
if (Model.NumberOfParticleTypes>0) {
#ifdef VERBOSE
msg::print_message("start monte carlo");
#endif
std::vector<lvlset::vec<int,ParameterType::Dimension > > CellCoordinates;
TimeExpansion-=my::time::GetTime();
LevelSets.back().add_voxel_corners();
TimeExpansion+=my::time::GetTime();
TimeCells-=my::time::GetTime();
calc::SetupCells(LevelSets.back(),Cells, CellCoordinates, NormalVectors, DistancesToReceiver, Parameter.receptor_radius);
TimeCells+=my::time::GetTime();
typedef typename calc::PartitionTraits<ParameterType> tmp_type;
#ifdef COMPILE_PARTITION_NEIGHBOR_LINKS_ARRAYS
if (ProcessParameter.partition_data_structure==partition::NEIGHBOR_LINKS_ARRAYS) {
partition::NeighborLinksArrays<tmp_type> Partition;
TimePartition-=my::time::GetTime();
Partition.Setup(0, Cells.size(), CellCoordinates, LevelSets.back().grid().boundary_conditions(),ProcessParameter.partition_splitting_strategy,ProcessParameter.partition_surface_area_heuristic_lambda);
TimePartition+=my::time::GetTime();
ray_tracing_memory=Partition.get_memory();
if (Parameter.print_statistics) {
TimeTotalExclOutput+=my::time::GetTime();
Partition.PrintStatistics(Parameter.output_path+"StatisiticsPartition.cvs");
TimeTotalExclOutput-=my::time::GetTime();
}
TimeRates-=my::time::GetTime();
do {
// std::cout << "calculate rates!\n";
calc::CalculateRates(Model,Parameter,Partition,LevelSets.back(),NormalVectors,DistancesToReceiver,Coverages,Rates,PointMaterials,Cells,RelativeTime);
// std::cout << "update coverages!\n";
calc::UpdateCoverages(Rates, Coverages, Model);
init_cycles--;
} while (init_cycles>=0);
init_cycles=rec_cycles;
TimeRates+=my::time::GetTime();
}
#endif
#ifdef COMPILE_PARTITION_FULL_GRID
if (ProcessParameter.partition_data_structure==partition::FULL_GRID) {
partition::FullGrid<tmp_type> Partition;
TimePartition-=my::time::GetTime();
Partition.Setup(0, Cells.size(), CellCoordinates, LevelSets.back().grid().boundary_conditions(),ProcessParameter.partition_splitting_strategy,ProcessParameter.partition_surface_area_heuristic_lambda);
TimePartition+=my::time::GetTime();
ray_tracing_memory=Partition.get_memory();
if (Parameter.print_statistics) {
TimeTotalExclOutput+=my::time::GetTime();
Partition.PrintStatistics(Parameter.output_path+"StatisiticsPartition.cvs");
TimeTotalExclOutput-=my::time::GetTime();
}
TimeRates-=my::time::GetTime();
do {
calc::CalculateRates(Model,Parameter,Partition,LevelSets.back(),NormalVectors,DistancesToReceiver,Coverages,Rates,PointMaterials,Cells,RelativeTime);
calc::UpdateCoverages(Rates, Coverages, Model);
init_cycles--;
} while (init_cycles>=0);
init_cycles=rec_cycles;
TimeRates+=my::time::GetTime();
}
#endif
#ifdef COMPILE_UP_DOWN_LINKED_TREE
if (ProcessParameter.partition_data_structure==partition::UP_DOWN_LINKED_TREE) {
partition::UpDownLinkTree<tmp_type> Partition;
TimePartition-=my::time::GetTime();
Partition.Setup(0, Cells.size(), CellCoordinates, LevelSets.back().grid().boundary_conditions(),ProcessParameter.partition_splitting_strategy,ProcessParameter.partition_surface_area_heuristic_lambda);
TimePartition+=my::time::GetTime();
ray_tracing_memory=Partition.get_memory();
if (Parameter.print_statistics) {
TimeTotalExclOutput+=my::time::GetTime();
Partition.PrintStatistics(Parameter.output_path+"StatisiticsPartition.cvs");
TimeTotalExclOutput-=my::time::GetTime();
}
TimeRates-=my::time::GetTime();
do {
calc::CalculateRates(Model,Parameter,Partition,LevelSets.back(),NormalVectors,DistancesToReceiver,Coverages,Rates,PointMaterials,Cells,RelativeTime);
calc::UpdateCoverages(Rates, Coverages, Model);
init_cycles--;
} while (init_cycles>=0);
init_cycles=rec_cycles;
TimeRates+=my::time::GetTime();
}
#endif
}
//#######################################
// output
//#######################################
TimeTotalExclOutput+=my::time::GetTime();
TimeOutput-=my::time::GetTime();
if (MakeOutput) {
#ifdef VERBOSE
msg::print_message("make output");
#endif
DataAccessClass<ModelType, ParameterType::Dimension> Data( Model,
&Coverages[0],
&Rates[0],
&NormalVectors[0],
PointMaterials,
Connectivities,
Visibilities,
ProcessParameter.print_velocities || Parameter.print_velocities,
ProcessParameter.print_coverages || Parameter.print_coverages,
ProcessParameter.print_rates || Parameter.print_rates,
ProcessParameter.print_materials || Parameter.print_materials
);
{
std::ostringstream oss;
oss << "Writing output " << output_info.output_counter;
oss << " (time = " << RelativeTime << ")...";
msg::print_start(oss.str());
}
typename LevelSetsType::iterator it=LevelSets.begin();
for (unsigned int i=0;i<LevelSets.size();i++) {
//for each levelset remove non opposite signed neighbors before outputting it to a file
it->prune();
if (Parameter.print_dx) {
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".dx";
#ifdef VERBOSE
msg::print_message("print dx");
#endif
if (i!=LevelSets.size()-1) {
write_explicit_surface_opendx(*it,oss.str());
} else {
write_explicit_surface_opendx(*it,oss.str(), Data);
}
}
if (Parameter.print_vtk) {
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".vtk";
#ifdef VERBOSE
msg::print_message("print vtk");
#endif
if (i!=LevelSets.size()-1) {
write_explicit_surface_vtk(*it,oss.str());
} else {
write_explicit_surface_vtk(*it,oss.str(), Data);
}
}
if(Parameter.print_vtp){
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".vtp";
#ifdef VERBOSE
msg::print_message("print vtp");
#endif
if (i!=LevelSets.size()-1) {
write_explicit_surface_vtp(*it,oss.str());
} else {
write_explicit_surface_vtp(*it,oss.str(), Data);
}
}
if (Parameter.print_lvst) {
std::ostringstream oss;
oss << Parameter.output_path<< output_info.file_name <<"_" << i << "_" << output_info.output_counter << ".lvst";
#ifdef VERBOSE
msg::print_message("print lvst");
#endif
it->export_levelset(oss.str(), Parameter.bits_per_distance);
}
it++;
}
if(!VolumeOutput) output_info.output_counter++;
msg::print_done();
}
if(VolumeOutput){
{
std::ostringstream oss;
oss << "Writing volume " << output_info.output_counter;
oss << " (time = " << RelativeTime << ")...";
msg::print_start(oss.str());
}
lvlset::write_explicit_volume_vtk(LevelSets, output_info.output_counter, Parameter);
output_info.output_counter++;
msg::print_done();
}
TimeOutput+=my::time::GetTime();
TimeTotalExclOutput-=my::time::GetTime();
// //std::cout << "Relative Time: " << RelativeTime << "\n";
bool is_finished=(RelativeTime==ProcessTime);
//#######################################
// time integration
//#######################################
#ifdef VERBOSE
msg::print_message("time integration");
#endif
double time_step=0;
if (!is_finished) {
//determine next time stop
double NextTimeStop=std::min(ProcessTime, RelativeTime+ProcessParameter.MaxTimeStep);
if (OutputTimesIter!=OutputTimes.end()) NextTimeStop=std::min(NextTimeStop, *OutputTimesIter);
double MaxTimeStep=NextTimeStop-RelativeTime;
if (ProcessParameter.FiniteDifferenceScheme==ENGQUIST_OSHER_1ST_ORDER) {
VelocityClass2<ModelType, ParameterType::Dimension> Velocities(Model, &NormalVectors[0], &Coverages[0], &Rates[0], Connectivities, Visibilities);
TimeExpansion-=my::time::GetTime();
LevelSets.back().expand(3);
TimeExpansion+=my::time::GetTime();
TimeTimeIntegration-=my::time::GetTime();
time_step=lvlset::time_integrate(
LevelSets,
Velocities,
lvlset::ENGQUIST_OSHER_SV_1ST_ORDER,
Parameter.cfl_condition,
MaxTimeStep,
Coverages,
Model.CoverageStorageSize);
TimeTimeIntegration+=my::time::GetTime();
} else if (ProcessParameter.FiniteDifferenceScheme==ENGQUIST_OSHER_2ND_ORDER) {
VelocityClass2<ModelType, ParameterType::Dimension> Velocities(Model, &NormalVectors[0], &Coverages[0], &Rates[0], Connectivities, Visibilities);
TimeExpansion-=my::time::GetTime();
LevelSets.back().expand(5);
TimeExpansion+=my::time::GetTime();
TimeTimeIntegration-=my::time::GetTime();
time_step=lvlset::time_integrate(
LevelSets,
Velocities,
lvlset::ENGQUIST_OSHER_SV_2ND_ORDER,
Parameter.cfl_condition,
MaxTimeStep,
Coverages,
Model.CoverageStorageSize);
TimeTimeIntegration+=my::time::GetTime();
} else if (ProcessParameter.FiniteDifferenceScheme==LAX_FRIEDRICHS_1ST_ORDER) { //TODO
VelocityClass<ModelType, ParameterType::Dimension> Velocities(Model, &NormalVectors[0], &Coverages[0], &Rates[0], Connectivities, Visibilities);
TimeExpansion-=my::time::GetTime();
LevelSets.back().expand(3);
TimeExpansion+=my::time::GetTime();
TimeTimeIntegration-=my::time::GetTime();
time_step=lvlset::time_integrate(
LevelSets,
Velocities,
lvlset::LAX_FRIEDRICHS_SCALAR_1ST_ORDER(ProcessParameter.LaxFriedrichsDissipationCoefficient),
Parameter.cfl_condition,
MaxTimeStep,
Coverages,
Model.CoverageStorageSize);
TimeTimeIntegration+=my::time::GetTime();
} else assert(0);
if (time_step>=MaxTimeStep) {
assert(time_step==MaxTimeStep);
time_step=MaxTimeStep;
RelativeTime=NextTimeStop;
} else {
RelativeTime+=time_step;
}
}
TimeTotalExclOutput+=my::time::GetTime();
TimeTotalInclOutput+=my::time::GetTime();
//#######################################
// print statistics
//#######################################
if (Parameter.print_statistics) {
#ifdef VERBOSE
msg::print_message("print statistics");
#endif
f.open(TimeStatFileName.c_str(),std::ios_base::app);
f<<TimeExpansion <<";";
f<<TimeNormals <<";";
f<<TimeMaterials <<";";
f<<TimeConnectivities <<";";
f<<graph_size <<";";
f<<num_components <<";";
f<<TimeSmoothing <<";";
f<<TimeVisibilities <<";";
f<<TimeCells <<";";
f<<TimePartition <<";";
f<<TimeRates <<";";
f<<ray_tracing_memory <<";";
f<<TimeTimeIntegration <<";";
f<<MakeOutput <<";";
f<<TimeOutput <<";";
f<<TimeTotalExclOutput <<";";
f<<TimeTotalInclOutput <<";";
f<<time_step <<";";
f<<RelativeTime <<";";
f<<(ProcessTime-RelativeTime) << std::endl;
f.close();
}
if (is_finished) break;
}
}
}
#endif /*PROCESS_H_*/
|
query.h | #ifndef HUBPPR_QUERY_H
#define HUBPPR_QUERY_H
#include "algo.h"
#include "graph.h"
#include "heap.h"
#include "config.h"
// #include "threadpool.hpp"
// #include "thread_pool.hpp"
static Avg avg_bwd;
static Avg avg_hub;
static Avg avg_fwd;
extern iMap<int> hub_used_samples;
extern vector<iMap<int>> multi_hub_used_samples;
extern iMap<int> dest_nodes;
extern vector<iMap<int>> multi_dest_nodes;
// extern vector<vector<int> > fwd_idx_uncompressed;
// extern vector<int> fwd_idx_size;
// extern vector<vector<unordered_map<int, int> > > fwd_idx;
// extern vector<int> forward_node_order;
extern vector<int> fwd_idx;
extern map<int, pair<int64,int> > fwd_idx_ucp_pointers;
extern map<int, vector<int64> > fwd_idx_cp_pointers;
extern vector<vector<int64>> fwd_idx_ptrs;
extern vector<int> fwd_idx_size;
extern iMap<int> fwd_idx_size_k;
extern iMap<int> statistic_hit_number;
extern vector<unsigned> global_seeds;
extern iMap<double> bwd_residuals;
extern iMap<double> bwd_reserves;
static void bippr_setting() {
INFO("bippr setting");
config.num_of_hubs = 0;
config.fwd_method = NAIVE;
config.bwd_method = NAIVE;
//config.bwd_delta = config.epsilon * sqrt(config.delta*config.dbar / log(1.0 / config.pfail));
//double fwd_rw_count = config.bwd_delta/config.delta/config.epsilon/config.epsilon*log(1/config.pfail);
config.bwd_delta = calculate_bwd_delta_bippr_and_hubppr(config.delta, config.epsilon, config.dbar, config.pfail);
double fwd_rw_count = calculate_fwd_count_bippr_and_hubppr(config.bwd_delta, config.delta, config.epsilon, config.pfail);
INFO(fwd_rw_count);
config.fwd_delta = 1.0 / fwd_rw_count;
}
static void hubppr_setting(const Graph &graph) {
assert(config.space_consumption > 0);
//config.bwd_delta = config.epsilon * sqrt(config.delta*config.dbar / log(1.0 / config.pfail));
//double fwd_rw_count = config.bwd_delta/config.delta/config.epsilon/config.epsilon*log(1/config.pfail);
config.bwd_delta = calculate_bwd_delta_bippr_and_hubppr(config.delta, config.epsilon, config.dbar, config.pfail);
double fwd_rw_count = calculate_fwd_count_bippr_and_hubppr(config.bwd_delta, config.delta, config.epsilon, config.pfail);
INFO(fwd_rw_count);
config.fwd_delta = 1.0 / fwd_rw_count;
config.num_of_hubs = 0;
config.fwd_method = USE_ORACLE;
load_forward_oracle(graph);
INFO(config.num_of_hubs);
assert(config.num_of_hubs > 0);
config.bwd_method = USE_ORACLE;
load_backward_oracle(graph);
}
static void bippr_topk_setting(const Graph& graph){
INFO("bippr topk setting");
config.epsilon /=2.0;
config.bwd_delta = calculate_bwd_delta_bippr_and_hubppr(config.delta, config.epsilon, config.dbar, config.pfail);
double fwd_rw_count = calculate_fwd_count_bippr_and_hubppr(config.bwd_delta, config.delta, config.epsilon, config.pfail);
INFO(fwd_rw_count);
config.fwd_delta = 1.0 / fwd_rw_count;
config.fwd_method = NAIVE;
config.bwd_method = NAIVE;
}
static void hubppr_topk_setting(int target_size, const Graph& graph){
INFO("hubppr topk setting");
config.num_of_hubs = 0;
config.bwd_delta = sqrt(target_size)*calculate_bwd_delta_bippr_and_hubppr(config.delta, config.epsilon, config.dbar, config.pfail);
config.compress_fwd = true;
config.fwd_method = USE_ORACLE;
load_forward_oracle(graph);
INFO(config.num_of_hubs);
assert(config.num_of_hubs > 0);
config.bwd_method = USE_ORACLE;
load_backward_oracle(graph);
double fwd_rw_count = calculate_fwd_count_bippr_and_hubppr(config.bwd_delta, config.delta, config.epsilon, config.pfail);
INFO(fwd_rw_count);
config.fwd_delta = 1.0 / fwd_rw_count;
config.fwd_method = USE_ORACLE;
load_forward_oracle(graph);
INFO(config.num_of_hubs);
assert(config.num_of_hubs > 0);
config.bwd_method = USE_ORACLE;
load_backward_oracle(graph);
}
static void fastppr_setting(const Graph &graph) {
INFO("fastppr setting");
config.num_of_hubs = 0;
config.fwd_method = NAIVE;
config.bwd_method = NAIVE;
// double delta = 1.0 / double(graph.n);
// double pfail = 1.0 / double(graph.n);
double dbar = double(graph.m) / double(graph.n); // average degree
double epsr = sqrt(dbar * config.delta);
config.bwd_delta = 0.2 * 6 / config.epsilon / config.epsilon * epsr;
double fwd_rw_count = 35.0 / config.epsilon / config.epsilon * epsr / config.delta;
config.fwd_delta = 1.0 / fwd_rw_count;
}
static void montecarlo_setting(const Graph &graph) {
INFO("montecarlo setting");
config.num_of_hubs = 0;
config.fwd_method = NAIVE;
config.bwd_method = NAIVE;
// double delta = 1.0 / double(graph.n);
// double pfail = 1.0 / double(graph.n);
// largest backward delta, so backward do nothing
config.bwd_delta = 1;
double fwd_rw_count = 3*log(2/config.pfail)/config.epsilon/config.epsilon/config.delta;
//double fwd_rw_count = config.bwd_delta / config.delta / config.epsilon / config.epsilon * log(1 / config.pfail);
config.fwd_delta = 1.0 / fwd_rw_count;
}
static void exact_topk_setting() {
INFO("exact topk setting");
config.num_of_hubs = 0;
config.fwd_method = NAIVE;
config.bwd_method = NAIVE;
// largest backward delta, so backward do nothing
config.bwd_delta = 1;
double fwd_rw_count = 100*1/config.delta;
//double fwd_rw_count = config.bwd_delta / config.delta / config.epsilon / config.epsilon * log(1 / config.pfail);
config.fwd_delta = 1.0 / fwd_rw_count;
INFO(fwd_rw_count);
INFO(config.fwd_delta);
INFO(config.bwd_delta);
}
static void bipproracle_setting() {
INFO("bipproracle setting");
config.fwd_method = FULL_PRECOMPUTE;
config.bwd_method = FULL_PRECOMPUTE;
}
static double compute_ppr_topk(int start, double reserve, unordered_map<int, double>& map_rsd, int64 num_rw){
Timer tm(101, "computing ppr");
// map<int, double> &pi = rtn.first;
// map<int, double> &residual = rtn.second;
double ans = 0;
// int total_num =0;
if(dest_nodes.occur.m_num < map_rsd.size()){ //iterate on smaller-size list
// for (auto &item:fwd) {
for(int i=0; i<dest_nodes.occur.m_num; i++){
int node = dest_nodes.occur[i];
int count = dest_nodes[node];
// total_num+=count;
if (map_rsd.find(node)!=map_rsd.end()) {
ans += map_rsd[node]*count;
}
}
}
else{
for (auto &item: map_rsd) {
int node = item.first;
double resi = item.second;
if (dest_nodes.exist(node)) {
ans += dest_nodes[node]*resi;
}
// total_num += dest_nodes[node];
}
}
ans/=num_rw;
ans += reserve;
return ans;
}
static double ppr(int start) {
Timer tm(101, "computing ppr");
// map<int, double> &pi = rtn.first;
// map<int, double> &residual = rtn.second;
double ans = 0;
static int64 total_num = 1/config.fwd_delta;
if(dest_nodes.occur.m_num < bwd_residuals.occur.m_num){ //iterate on smaller-size list
// for (auto &item:fwd) {
for(int i=0; i<dest_nodes.occur.m_num; i++){
int node = dest_nodes.occur[i];
int count = dest_nodes[node];
// total_num+=count;
if (bwd_residuals.exist(node)) {
ans += bwd_residuals[node]*count;
}
}
}
else{
for (int i=0; i<bwd_residuals.occur.m_num; i++) {
int node = bwd_residuals.occur[i];
double resi = bwd_residuals[node];
if (dest_nodes.exist(node)) {
ans += dest_nodes[node]*resi;
}
// total_num += dest_nodes[node];
}
}
// bwd_residuals.clean();
ans/=total_num;
if(bwd_reserves.exist(start))
ans += bwd_reserves[start];
// bwd_reserves.clean();
return ans;
}
static double ppr_compress(int start) {
Timer tm(101, "computing ppr");
// map<int, double> &pi = rtn.first;
// map<int, double> &residual = rtn.second;
double ans = 0;
static int64 total_num =1/config.fwd_delta;
if(dest_nodes.occur.m_num < bwd_residuals.occur.m_num){ //iterate on smaller-size list
for (int i=0; i<dest_nodes.occur.m_num; i++) {
int node = dest_nodes.occur[i];
int count = dest_nodes[node];
// total_num+=count;
if (bwd_residuals.exist(node)) {
ans += bwd_residuals[node]*count;
}
}
}
else{
for (int i=0; i<bwd_residuals.occur.m_num; i++) {
int node = bwd_residuals.occur[i];
double resi = bwd_residuals[node];
if (dest_nodes.exist(node)) {
ans += dest_nodes[node]*resi;
// total_num += dest_nodes[node];
}
}
}
int node;
int occur;
int remaining;
int64 last_beg_ptr;
int64 end_ptr;
int hub_node;
int blocked_num;
//hub_used_samples.occur.Sort();
for(int xxx=0; xxx<hub_used_samples.occur.m_num; xxx++){
hub_node = hub_used_samples.occur[xxx];
vector<int64> &hub_vec = fwd_idx_ptrs[hub_node];
last_beg_ptr = hub_vec[hub_vec.size()-2];
end_ptr = hub_vec[hub_vec.size()-1];
remaining = hub_used_samples[hub_node];
//INFO(remaining, k);
if(remaining > fwd_idx_size_k[hub_node]){
//INFO("nodes larger than threshold");
// for(auto ent: hub_vec[hub_vec.size()-1]){
for(int64 ptr=last_beg_ptr; ptr<end_ptr; ptr+=2){
node = fwd_idx[ptr];
occur = fwd_idx[ptr+1];
if (bwd_residuals.exist(node))
ans += bwd_residuals[ node ]*occur;
// total_num+= occur;
// selected_num+=occur;
remaining-=occur;
}
}
for(int i=0; i< hub_vec.size()-2; i++){
int bit_pos = 1<<i;
//INFO(i, bit_pos&remaining);
if(bit_pos & remaining){
for(int64 ptr=hub_vec[i]; ptr<hub_vec[i+1]; ptr+=2){
node = fwd_idx[ptr];
occur = fwd_idx[ptr+1];
if (bwd_residuals.exist(node))
ans += bwd_residuals[node]*occur;
// total_num+= occur;
}
}
}
}
// bwd_residuals.clean();
ans/=total_num;
if(bwd_reserves.exist(start))
ans += bwd_reserves[start];
// bwd_reserves.clean();
return ans;
}
int current_target=0;
static double query(int source, int target, const Graph &graph) {
Counter c(1);
//INFO("query ", source, target);
// pi and residual in format id, value, means pi(id, t) = value, residual(id, t) = value
current_target = target;
sample_bwd(target,graph);
sample_fwd(source, graph); // a list of ending nodes
if(config.algo == "hubppr")
return ppr_compress(source);
else
return ppr(source);
}
static double compute_ppr(int start){
Timer tm(101, "computing ppr");
// map<int, double> &pi = rtn.first;
// map<int, double> &residual = rtn.second;
double ans = 0;
static int64 total_num = 1/config.fwd_delta;
omp_set_num_threads(multi_dest_nodes.size());
#pragma omp parallel for reduction(+:ans)
for(int i=0; i< multi_dest_nodes.size(); i++){
unsigned tid = omp_get_thread_num();
if(multi_dest_nodes[tid].occur.m_num < bwd_residuals.occur.m_num){
for (int i=0; i<multi_dest_nodes[tid].occur.m_num; i++) {
int node = multi_dest_nodes[tid].occur[i];
int count = multi_dest_nodes[tid][node];
// total_num+=count;
if (bwd_residuals.exist(node)) {
ans += bwd_residuals[node]*count;
}
}
}
else{
for (int i=0; i<bwd_residuals.occur.m_num; i++) {
int node = bwd_residuals.occur[i];
double resi = bwd_residuals[node];
if (multi_dest_nodes[tid].exist(node)) {
ans += multi_dest_nodes[tid][node]*resi;
// total_num += multi_dest_nodes[tid][node];
}
}
}
multi_dest_nodes[tid].clean();
}
if(config.compress_fwd){
//merge hubs hit
for(int i=1; i<multi_hub_used_samples.size(); i++){
for(int j=0; j<multi_hub_used_samples[i].occur.m_num; j++){
int hub=multi_hub_used_samples[i].occur[j];
int count=multi_hub_used_samples[i][hub];
if(multi_hub_used_samples[0].notexist(hub))
multi_hub_used_samples[0].insert(hub, count);
else
multi_hub_used_samples[0][hub] += count;
}
multi_hub_used_samples[i].clean();
}
int node;
int occur;
multi_hub_used_samples[0].occur.Sort();
omp_set_num_threads(config.num_thread);
#pragma omp parallel for reduction(+:ans)
for(int xxx=0; xxx<multi_hub_used_samples[0].occur.m_num; xxx++){
int hub_node = multi_hub_used_samples[0].occur[xxx];
int blocked_num = multi_hub_used_samples[0][hub_node];
// if(statistic_hit_number.notexist(hub_node))
// statistic_hit_number.insert(hub_node, blocked_num);
// else
// statistic_hit_number[hub_node]+=blocked_num;
vector<int64> &hub_vec = fwd_idx_cp_pointers[hub_node];
int64 last_beg_ptr = hub_vec[hub_vec.size()-2];
int64 end_ptr = hub_vec[hub_vec.size()-1];
int k = fwd_idx_size_k[hub_node];
int remaining = blocked_num;
if(remaining > k){
int selected_num=0;
for(int64 ptr=last_beg_ptr; ptr<end_ptr; ptr+=2){
node = fwd_idx[ptr];
occur = fwd_idx[ptr+1];
if (bwd_residuals.exist(node)) {
ans += bwd_reserves[ node ]*occur;
}
// total_num+= occur;
selected_num+=occur;
}
remaining -= selected_num;
}
for(int i=0; i< hub_vec.size()-2; i++){
int bit_pos = 1<<i;
if(bit_pos & remaining){
for(int64 ptr=hub_vec[i]; ptr<hub_vec[i+1]; ptr+=2){
node = fwd_idx[ptr];
occur = fwd_idx[ptr+1];
if (bwd_residuals.exist(node)) {
ans += bwd_reserves[node]*occur;
}
// total_num += occur;
}
}
}
}
multi_hub_used_samples[0].clean();
// hub_used_samples.clean();
}
// bwd_residuals.clean();
ans/=total_num;
if(bwd_reserves.exist(start))
ans += bwd_reserves[start];
// bwd_reserves.clean();
return ans;
}
static vector<pair<int, int> > p2p_query;
static void generate_p2p_query(const Graph& graph){
assert(config.query_size > 0);
string path = parent_folder + "query" + FILESEP + "p2p" + FILESEP;
if(config.target_sample == UNIFORM)
path += config.graph_alias + ".query.uniform";
else
path += config.graph_alias + ".query.globalpr";
if(file_exists_test(path)){
cerr<<"p2p query already exists"<<endl;
//return;
}
INFO(path);
ofstream fout_query(path);
iMap<int> node_marker;
node_marker.initialize(graph.n);
for (int cnt = 0; cnt < config.query_size; cnt++) {
int sample_source, sample_target = 0;
sample_source = lrand() % graph.n;
if (config.target_sample == UNIFORM)
sample_target = lrand() % graph.n;
else if (config.target_sample == GLOBAL_PAGERANK){
sample_target = gpr->sample_by_pr();
while(node_marker.exist(sample_target)){
sample_target = gpr->sample_by_pr();
}
node_marker.insert(sample_target, 1);
}
else{
INFO("wrong query type");
}
fout_query<<sample_source<<" "<<sample_target<<endl;
}
fout_query.close();
}
static void load_p2p_query(const Graph& graph){
Timer timer100(100, "total query time");
string path = parent_folder + "query" + FILESEP + "p2p" + FILESEP;
if(config.target_sample == UNIFORM)
path += config.graph_alias + ".query.uniform";
else
path += config.graph_alias + ".query.globalpr";
ASSERTMSG(file_exists_test(path), path.c_str());
ifstream fin_query(path);
int sample_source, sample_target;
while(fin_query>>sample_source){
fin_query>>sample_target;
p2p_query.push_back(make_pair(sample_source, sample_target));
}
fin_query.close();
}
extern iMap<int> component;
static void query(const Graph &graph) {
config.use_bwd_index = false;
if (config.algo.size() == 0) {
cerr << "NO algorithm" << endl;
exit(1);
}
// config.algo in ['hubppr', 'bippr']
//gpr = new GlobalPR(config, graph);
if (config.algo == "bippr") {
bippr_setting();
}
else if (config.algo == "bipproracle") {
gpr = new GlobalPR(config, graph);
bipproracle_setting();
}
else if (config.algo == "hubppr") {
gpr = new GlobalPR(config, graph);
hubppr_setting(graph);
}
else if (config.algo == "fastppr") {
fastppr_setting(graph);
}
else if (config.algo == "montecarlo") {
montecarlo_setting(graph);
}
else {
cerr << "config.algo not recognized" << endl;
exit(1);
};
load_p2p_query(graph);
INFO(config.fwd_delta);
INFO(config.bwd_delta);
double (*query_fptr)(int, int, const Graph&);
query_fptr = &query;
if(p2p_query.size() == 0){
for (int cnt = 0; cnt < config.query_size ; cnt++) {
Timer timer1(1);
int sample_source = lrand() % graph.n;
int sample_target = 0;
if (config.target_sample == UNIFORM)
sample_target = lrand() % graph.n;
else
sample_target = gpr->sample_by_pr();
Timer timer2(2); // to test same as 1
// call query
query_fptr(sample_source, sample_target, graph);
result.finished_queries = cnt;
if (Timer::used(1) > config.query_seconds) {
break;
}
}
}
else{
int cnt=0;
for(auto query_pair : p2p_query){
Timer timer1(1);
double result = query_fptr(query_pair.first, query_pair.second, graph);
cnt++;
if(cnt >=config.query_size) break;
}
result.finished_queries = cnt;
INFO(Timer::used(1));
}
result.n = graph.n;
result.m = graph.m;
result.hub_label_size = avg_hub.avg * graph.n;
result.fwd_label_size = avg_fwd.avg * graph.n;
result.bwd_label_size = avg_bwd.avg * graph.n;
result.total_size = result.hub_label_size + result.fwd_label_size + result.bwd_label_size;
result.time_spent = Timer::used(1);
INFO(result.finished_queries);
cout << (Timer::used(1) - Timer::used(88) - Timer::used(87)) / result.finished_queries * 1000 <<
" (ms) per query" << endl;
}
double reverse_local_update_heap_hitting_forward(int t, const Graph &graph, int source, unordered_map<int, int> &fwd_sample) {
// return the estimated value
static BinaryHeap<double, greater<double> > heap(graph.n, greater<double>());
static map<int, double> exist;
double myeps = config.bwd_delta;
exist.clear();
heap.clear();
heap.insert(t, 1);
// cerr << "init" << endl;
while (heap.size()) {
//cerr << "heapsize " << heap.size() << endl;
// heap.display();
auto top = heap.extract_top();
double residual = top.first;
int v = top.second;
if (residual < myeps)
break;
heap.delete_top();
if (gpr->fast_rank(v) * gpr->fast_rank(v) < graph.n) {
// brutely through away this node
continue;
}
exist[v] += residual * config.alpha;
for (int next : graph.gr[v]) {
// cerr << "next " << next << endl;
int cnt = (int) graph.g[next].size();
double delta = ((1 - config.alpha) * residual) / cnt;
if (heap.has_idx(next))
heap.modify(next, heap.get_value(next) + delta);
else
heap.insert(next, delta);
}
// heap.modify(v, 0);
}
result.count_exist += exist.size();
result.count_residual += heap.size();
map<int, double> residual;
while (heap.size()) {
auto top = heap.extract_top();
residual[top.second] = top.first;
heap.delete_top();
}
double result = exist[source];
for (auto item: residual) {
int node = item.first;
double prob = item.second;
if (fwd_sample.find(node) != fwd_sample.end()) {
result += prob * fwd_sample[node];
}
}
return result;
}
unordered_map<int, double> lower_bounds;
iMap<double> upper_bounds;
std::list<int> candidate_list;
unordered_map<int, int> node_to_order;
vector<double> source_reserves;
vector<unordered_map<int, double>> residual_maps;
vector< vector<double> > iter_rmax;
iMap<double> iter_ppr;
vector<double> m_omega;
unordered_map<int64, int> j_log;
vector<pair<int, double>> low_up_ratio;
void set_bound_by_martingale(int t_size, int rw_num, int iteration_num, int source_node, int node, const Graph& graph){
static double new_pfail = config.pfail/2.0/t_size/log2((unsigned long long)graph.n*config.alpha*graph.n*t_size);
static double pfail_star = log(new_pfail);
static int64 omega = ceil(1.0/config.fwd_delta);
double m_omega=0;
{
Timer tm(20);
if(dest_nodes.occur.m_num < residual_maps[node_to_order[node]].size()){ //iterate on smaller-size list
for(int i=0; i<dest_nodes.occur.m_num; i++){
int dest = dest_nodes.occur[i];
int count = dest_nodes[dest];
if (residual_maps[node_to_order[node]].find(dest)!=residual_maps[node_to_order[node]].end()) {
m_omega += residual_maps[node_to_order[node]][dest]*count;
}
}
}
else{
for (auto &item: residual_maps[node_to_order[node]]) {
int dest = item.first;
double resi = item.second;
if (dest_nodes.exist(dest)) {
m_omega += dest_nodes[dest]*resi;
}
}
}
}
//compute lambda
double b = 0;
// int iter_prime = 0;
b = (2*rw_num-1)*pow(iter_rmax[iteration_num][node_to_order[node]]/2.0, 2);
double lambda = sqrt(pow(1.0*iter_rmax[iteration_num][node_to_order[node]]*pfail_star/3, 2) - 2*b*pfail_star)-1.0*iter_rmax[iteration_num][node_to_order[node]]*pfail_star/3;
// INFO(source_reserves[node_to_order[node]], lambda, m_omega);
//compute lower bound & upper bound
upper_bounds[node] = min(upper_bounds[node], source_reserves[node_to_order[node]]+(m_omega+lambda)/(2*rw_num-1) );
assert(lower_bounds[node]<1);
lower_bounds[node] = max(lower_bounds[node], source_reserves[node_to_order[node]]+(m_omega-lambda)/(2*rw_num-1) );
assert(upper_bounds[node]>0);
}
void topk_hubppr_martingale(const Graph &graph, int source_node, vector<int>& targets, const int k, vector< pair<int, double> >& results){
static int64 the_omega = 2*config.bwd_delta*log(2*k/config.pfail)/config.epsilon/config.epsilon/config.delta;
static double bwd_cost_div = 1.0*graph.m/graph.n/config.alpha/1.0;
static int64 omega = ceil(1.0/config.fwd_delta);
static int exp_max_iter_time = ceil(log2(omega));
check_end_nodes(source_node, targets);
lower_bounds.clear();
upper_bounds.clean();
candidate_list.clear();
node_to_order.clear();
source_reserves.clear();
source_reserves.resize(targets.size());
residual_maps.clear();
residual_maps.resize(targets.size());
iter_rmax.clear();
iter_rmax.resize(exp_max_iter_time);
dest_nodes.clean();
low_up_ratio.clear();
low_up_ratio.resize(targets.size());
int64 fwd_cost =0, backward_cost =0;
for(int i=0; i< targets.size();i++){
candidate_list.push_back(targets[i]);
lower_bounds[targets[i]] = 1./graph.n;
upper_bounds[targets[i]] = 1;
low_up_ratio[i] = MP(targets[i], lower_bounds[targets[i]]/upper_bounds[targets[i]]);
node_to_order[targets[i]] = i;
iter_rmax[0].push_back(1);
residual_maps[i][targets[i]] = 1;
source_reserves[i] = 0;
}
int iteration_num=1;
while(candidate_list.size()>k){
if(iteration_num>=iter_rmax.size()){
iter_rmax.push_back(iter_rmax[iteration_num-1]); //copy the rmax of last iteration to current iteration
}
else{
iter_rmax[iteration_num] = iter_rmax[iteration_num-1];
}
double max_rmax = *(std::max_element(iter_rmax[iteration_num].begin(), iter_rmax[iteration_num].end()));
if( max_rmax >= config.bwd_delta ){ //if rmax for each target is less than minimum rmax setting, no need to backward push
if( 1 == iteration_num){ //first initial round, bwd push from all targets
for(int t: candidate_list){
iter_rmax[iteration_num][node_to_order[t]] = max(iter_rmax[iteration_num-1][node_to_order[t]]/2, config.bwd_delta);
//continue bwd push until the reverse of each node < rmax_t
int push_count = reverse_local_update_topk(source_node, t, graph, source_reserves[node_to_order[t]], residual_maps[node_to_order[t]], iter_rmax[iteration_num][node_to_order[t]]);
backward_cost+=(bwd_cost_div*(1/iter_rmax[iteration_num][node_to_order[t]]-1/iter_rmax[iteration_num-1][node_to_order[t]])); //bwd push based on previous residuals
// backward_cost+=push_count;
}
}
else{
static vector<pair<int, double>> sort_low_up_ratio;
sort_low_up_ratio.clear();
sort_low_up_ratio.resize(low_up_ratio.size());
partial_sort_copy(low_up_ratio.begin(), low_up_ratio.end(), sort_low_up_ratio.begin(), sort_low_up_ratio.end(),[](pair<int, double> const& l, pair<int, double> const& r){return l.second < r.second;});
int iter=0;
int count=0;
while( fwd_cost >= backward_cost || iter<sort_low_up_ratio.size() ) {
int t = sort_low_up_ratio[iter].first;
if(iter_rmax[iteration_num-1][node_to_order[t]] > config.bwd_delta){ //when reach lowest rmax, no need bwd anymore
iter_rmax[iteration_num][node_to_order[t]] = max(iter_rmax[iteration_num-1][node_to_order[t]]/2, config.bwd_delta);
//continue bwd push until the reverse of each node < rmax_t
int push_count = reverse_local_update_topk(source_node, t, graph, source_reserves[node_to_order[t]], residual_maps[node_to_order[t]], iter_rmax[iteration_num][node_to_order[t]]);
backward_cost+=(bwd_cost_div*(1/iter_rmax[iteration_num][node_to_order[t]]-1/iter_rmax[iteration_num-1][node_to_order[t]])); //bwd push based on previous residuals
// backward_cost+=push_count;
count++;
}
iter++;
if(iter>=sort_low_up_ratio.size()){ //stop while one round iteration finished
break;
}
}
}
}
int64 rw_num = pow(2, iteration_num);
generate_fwd_randwalk_topk_martingale(source_node, graph, rw_num);
fwd_cost +=rw_num*1.0/config.alpha;
// compute lower bound & upper bound
for(int node: candidate_list){
set_bound_by_martingale(targets.size(), rw_num, iteration_num, source_node, node, graph);
// INFO(lower_bounds[node], upper_bounds[node]);
}
results.clear();
results.resize(k);
partial_sort_copy(lower_bounds.begin(), lower_bounds.end(), results.begin(), results.end(), [](pair<int, double> const& l, pair<int, double> const& r){return l.second > r.second;});
if( lower_bounds[results[k-1].first]*(1+config.epsilon) >= upper_bounds[results[k-1].first] ){
//top-k nodes all satisify the constraint
INFO("return correctly", iteration_num);
// for(int i=0;i<results.size();i++){
// int node = results[i].first;
// INFO(node, lower_bounds[node], upper_bounds[node]);
// INFO(node, source_reserves[node_to_order[node]], iter_rmax[iteration_num][node_to_order[node]]);
// }
return;
}
if(rw_num>=the_omega){
for(int t: targets){
if(iter_rmax[iteration_num][node_to_order[t]]<=config.bwd_delta){
//return k random nodes
INFO("return abnormally");
return;
}
}
}
//eliminate all nodes t' from candidate_list if UB(t') >= LB(t_k)
int t_k = results[k-1].first;
std::list<int>::iterator candi_iter = candidate_list.begin();
while(candi_iter!=candidate_list.end()){
if(upper_bounds[*candi_iter]<=lower_bounds[t_k]){
//remove invalid t from candidate_list
upper_bounds[*candi_iter]=1;
lower_bounds[*candi_iter]=0;
candi_iter = candidate_list.erase(candi_iter);
}
else
candi_iter++;
}
//compute lower_bound:upper_bound for each candidate node
low_up_ratio.clear();
for(int node: candidate_list){
low_up_ratio.push_back(MP(node, lower_bounds[node]/upper_bounds[node]));
}
iteration_num++;
}
}
void topk_bippr(const Graph &graph, int s, vector<int>& targets, const int k, vector< pair<int, double> >& results){
static unordered_map<int, double> pprs;
static unordered_map<int, double> map_reserves;
static unordered_map<int, double> map_residuals;
pprs.clear();
sample_fwd(s, graph);
for (int t: targets) {
sample_bwd(t, graph);
pprs[t] = ppr(s);
}
results.clear();
results.resize(k);
partial_sort_copy(pprs.begin(), pprs.end(), results.begin(), results.end(),[](pair<int, double> const& l, pair<int, double> const& r){return l.second > r.second;});
}
static void BFS(int start, const Graph& graph, vector<int>& targets, int k){
std::queue<int> q;
unordered_map<int, bool> marks;
q.push(start);
marks[start] = true;
while(!q.empty()&&targets.size()<k){
int u = q.front();
// INFO(u, graph.n);
q.pop();
for(int next: graph.g[u]){
if(marks[next]==true||next==0)
continue;
q.push(next);
targets.push_back(next);
if(targets.size()==k)
return;
marks[next]=true;
}
}
}
static void generate_topk_query(const Graph& graph){
assert(config.query_size>0);
assert(config.target_size>0);
string path = parent_folder + "query" + FILESEP + "topk" + FILESEP;
path += config.graph_alias + ".T"+to_str(config.target_size)+".query";
ofstream fout_query(path);
int T = config.target_size;
fout_query<<T<<" "<<config.query_size<<endl;
//generate config.query_size number of queries with target size T
int cnt=0;
while(true){
int s = rand_double() * graph.n;
if(graph.g[s].size()<1)
continue;
vector<int> targets;
// choose destinations by BFS
BFS(s, graph, targets, config.target_size);
if(targets.size()<config.target_size){
continue;
}
// for (int i = 0; i < config.target_size; i++) {
fout_query<<s<<endl;
for(int t: targets){
// int t = lrand() % graph.n;
fout_query<<t<<" "<<endl;
}
cnt++;
if(cnt>=config.query_size)
break;
}
}
static vector<pair<int, vector<int> > > topk_queries;
static vector< pair<int, vector<pair<double, int> > > > topk_answers;
static void load_topk_query(const Graph& graph){
INFO("loading topk queries");
string path = parent_folder + "query" + FILESEP + "topk" + FILESEP;
path += config.graph_alias + ".T"+to_str(config.target_size) + ".query";
ASSERTMSG(file_exists_test(path), path.c_str());
ifstream fin_query(path);
int T, query_num;
fin_query>>T;
fin_query>>query_num;
for(int i=0; i<query_num; i++){
int source_sample;
int target_node;
fin_query>>source_sample;
vector<int> target_set_sample;
for(int j=0; j<T; j++){
fin_query>>target_node;
target_set_sample.push_back(target_node);
}
INFO(target_set_sample.size());
topk_queries.push_back(make_pair(source_sample, target_set_sample));
}
INFO("finisehd loading topk queries");
}
static void load_topk_query_answer(const Graph& graph){
INFO("loading topk queries");
string path = parent_folder + "query" + FILESEP + "topk" + FILESEP;
path += config.graph_alias +".T"+to_str(config.target_size)+ ".query.answer.exact";
ASSERTMSG(file_exists_test(path), path.c_str());
ifstream fin_query(path);
int T, query_num;
fin_query>>T;
fin_query>>query_num;
INFO(T, query_num);
for(int i=0; i<query_num; i++){
int source_sample;
int target_node;
double ppr_target_node;
fin_query>>source_sample;
vector<pair<double, int> > target_set_sample_answer;
for(int j=0; j<T; j++){
fin_query>> ppr_target_node;
fin_query>>target_node;
target_set_sample_answer.push_back(make_pair(ppr_target_node, target_node));
}
topk_answers.push_back(make_pair(source_sample, target_set_sample_answer));
}
INFO("finisehd loading topk answers");
}
static void topk(const Graph &graph) {
assert(config.target_size > 5);
INFO(config.target_size);
INFO(config.epsilon);
INFO(config.k_size);
load_topk_query(graph);
//load_topk_query_answer(graph);
if(config.algo == "exact"){
exact_topk_setting();
}else if(config.algo == "bippr"){
gpr = new GlobalPR(config, graph);
bippr_topk_setting(graph);
}
else if(config.algo == "hubppr"){
gpr = new GlobalPR(config, graph);
hubppr_topk_setting(config.target_size, graph);
}
ofstream fout_answer;
string path = parent_folder + "query" + FILESEP + "topk" + FILESEP;
path += config.graph_alias +".T"+to_str(config.target_size)+ ".query.answer.exact";
if(config.algo == "exact"){
if(file_exists_test(path)){
cerr<<"exact topk answer file already exists"<<endl;
return;
}else{
fout_answer.open(path.c_str());
fout_answer<<config.target_size<<" "<<topk_queries.size()<<endl;
}
}
static Avg precision_avg;
if(config.algo == "hubppr"){
INFO("Start computing log of number of randwalks");
int64 max_rw_num = ceil(1/config.fwd_delta);
INFO(max_rw_num);
int max_iter_times = ceil(log2(max_rw_num));
INFO(max_iter_times);
upper_bounds.initialize(graph.n);
iter_ppr.initialize(graph.n);
// iter_rmax.resize(max_iter_times);
}
INFO("start querying");
int cnt=0;
vector<int> target_set_sample;
for (; cnt < 20; cnt++){//topk_queries.size(); cnt++) {
vector< pair<int, double> > pprs;
{
int s = topk_queries[cnt].first;
target_set_sample = topk_queries[cnt].second;
if(config.algo == "exact"){
// auto fwd = sample_fwd(s, graph);
{
Timer timer(TIMER_TOPK);
sample_fwd(s, graph);
for(int i=0; i<target_set_sample.size(); i++){
// pprs.push_back(fwd[target_set_sample[i]]* config.fwd_delta);
pprs.push_back(MP(target_set_sample[i], dest_nodes[target_set_sample[i]]* config.fwd_delta));
}
}
fout_answer<<s<<endl;
for(auto ppr: pprs){
fout_answer<<ppr.second<<" "<<ppr.first<<" "<<endl;
}
}
if (config.algo == "bippr" ) {
{
Timer timer(TIMER_TOPK);
topk_bippr(graph, s, target_set_sample, config.k_size, pprs);
}
INFO(s);
for(auto ppr: pprs){
INFO(ppr.first, ppr.second);
}
}
else if (config.algo == "hubppr"){
{
Timer timer(TIMER_TOPK);
topk_hubppr_martingale(graph, s, target_set_sample, config.k_size, pprs);
}
INFO(s);
for(auto ppr: pprs){
INFO(ppr.first, ppr.second);
}
}
}
}
fout_answer.close();
INFO(precision_avg.avg);
INFO(config.target_size);
cout << "topk ppr time for per query: " << Timer::used(TIMER_TOPK) / cnt *1000<< " ms" << endl;
}
void tune_forward_backward_ratio(const Graph& graph){
bippr_setting();
clock_t fwd_time=0;
clock_t bwd_time = 0;
srand(time(NULL));
INFO("start tuning fwd-bwd ratio...");
for (int cnt = 0; cnt < 1000; cnt++) {
int sample_source = lrand() % graph.n;
int sample_target = 0;
if (config.target_sample == UNIFORM)
sample_target = lrand() % graph.n;
else
sample_target = gpr->sample_by_pr();
//cout<<sample_source<<" "<<sample_target<<endl;
clock_t start = clock();
sample_fwd(sample_source, graph); // a list of ending nodes
clock_t end = clock();
fwd_time += (end-start);
start = clock();
// sample_bwd(sample_target, graph);
reverse_local_update_linear(sample_target, graph);
end = clock();
bwd_time +=(end-start);
}
config.fwd_cost_ratio = fwd_time*1.0/(bwd_time+fwd_time);
dest_nodes.clean();
hub_used_samples.clean();
bwd_reserves.clean();
bwd_residuals.clean();
INFO(config.fwd_cost_ratio);
}
#endif //HUBPPR_QUERY_H
|
spike.c | /*
* spike.c
* Spike
*
* Created by Ben Evans on 19/06/2008.
* Copyright 2008 University of Oxford. All rights reserved.
*
*/
#include "spike.h"
int spike(PARAMS * mp)
{
/*** Declare variables ***/
int error = 0;
STIMULI * stim = NULL;
STIMULI * gStim = NULL; // Change to PPstim
//RECORD *RECSP = RECS;
//RECORD *ptr = &RECS[0][0];
//RECORD *r_ptr = RECS;
/*** Declare file pointers ***/
FILE * stimuli_FP = NULL;
/*************** Calculate RAM requirements ****************/
calcMemory(mp);
printf("Ventral Visual Stream Spiking Neural Network Simulation starting...\n");
/*************** Build & Initialize Network ****************/
printf("\tBuilding the network...");
n_E = allocn(mp->nLayers, mp->vExcit, EXCIT); // Create 2D array of Excitatory neuron structures
n_I = allocn(mp->nLayers, mp->vInhib, INHIB); // Create 2D array of Inhibatory neuron structures
if (mp->SOM) //(mp->initElE == SOM || mp->initEfE == SOM || mp->axonDelay == SOMD)
distE = getLowTriF(mp->nLayers, mp->vExcit, 0.0);
calcConnectivity(mp->probConnect); // Calculate network connectivity
printf("\tBuilding complete!\n");
printf("\tInitialising the network...");
if (mp->nRecords)
setRecords(mp, n_E, mSeed);
setWeights(mp, n_E, n_I, ""); //regime = Learning; // 0: Testing (No STDP); 1: Training (STDP);
initNetwork(Hard); //(regime); // Initialise parameters
/*************** Load stimuli ****************/
printf("\tNetwork initialised!\n");
printf("\tCreating stimuli structures...");
if (mp->priorPhases) // Load stimuli for ElE training
{
gStim = myalloc(sizeof(*gStim));
gStim->trn_stimuli = gStim->tst_stimuli = NULL;
gStim->stimShuffle = NULL;
gStim->transShuffle = NULL;
gStim->groups = NULL;
gStim->trnImages = gStim->tstImages = NULL;
}
stim = myalloc(sizeof(*stim));
stim->trn_stimuli = stim->tst_stimuli = NULL;
stim->stimShuffle = NULL;
stim->transShuffle = NULL;
stim->groups = NULL;
//stim->trnGrpStim = stim->tstGrpStim = NULL;
stim->trnImages = stim->tstImages = NULL;
/*stim->nStim = mp->nStimuli;
stim->nTrans = mp->nTransPS;
stim->nTestStim = mp->nTestStimuli; // CHECK
stim->nTestTrans = mp->nTestTransPS; // CHECK*/
printf("\tCreated!\n");
if (mp->useFilteredImages)
{
printf("\tLoading the images...");
stim->trnImages = get_7D_farray(mp->nStimuli, mp->nTransPS, \
mp->nScales, mp->nOrients, mp->nPhases, mp->nRows, mp->nCols, 0.0);
error = loadImages(stim, mp); // if (!error)...
printf("\t{S%d,T%d}", mp->nStimuli, mp->nTransPS);
if (stim->newTestSet)
printf(" Test: {S%d,T%d}", mp->nTestStimuli, mp->nTestTransPS);
else //if (!mp->newTestSet) // Move inside loadImages?
{
stim->tstImages = stim->trnImages;
mp->nTestStimuli = mp->nStimuli;
mp->nTestTransPS = mp->nTransPS;
}
stim->nStim = mp->nStimuli;
stim->nTrans = mp->nTransPS;
stim->nTestStim = mp->nTestStimuli;
stim->nTestTrans = mp->nTestTransPS;
if (!error)
printf("\tImages loaded!\n");
else
exit_error("spike", "Error loading Images");
}
else if (mp->stimGroups)
{
if (mp->loadStimuli)
{
if (mp->priorPhases) // Load training & testing stimuli for prior phases
{
printf("\tLoading PP grouped stimuli...");
/*if (!PPSTFILE) // Use STIMULIFILE as the default file name if one has not been passed
{
printf("\t\"%s\" (default)",STIMULIFILE);
int slen = strlen(STIMULIFILE);
PPSTFILE = myalloc((slen+1)*sizeof(char));
strncpy(PPSTFILE, STIMULIFILE, slen);
PPSTFILE[slen] = '\0';
}
else
printf("\t\"%s\"",ELESTFILE);*/
printf("\t\"%s\"",PPSTFILE);
gStim->nStim = gStim->nTestStim = 0;
gStim->nTrans = gStim->nTestTrans = 0;
loadGroups(gStim, mp, PPSTFILE); // Pass filename here *****************************
// Print Matlab friendly stimuli
printStimuli(gStim, mp, "PP_");
printf("\tPP stimuli loaded!\n");
}
printf("\tLoading grouped stimuli...");
/*if (!STFILE) // Use STIMULIFILE as the default file name if one has not been passed
{
printf("\t\"%s\" (default)",STIMULIFILE);
int slen = strlen(STIMULIFILE);
STFILE = myalloc((slen+1)*sizeof(char));
strncpy(STFILE, STIMULIFILE, slen);
STFILE[slen] = '\0';
}
else
printf("\t\"%s\"",STFILE);*/
printf("\t\"%s\"",STFILE);
loadGroups(stim, mp, STFILE);
assert(stim->nStim == mp->nStimuli);
assert(stim->nTrans == mp->nTransPS);
printf("\tGroups loaded!\n");
// Print prototypes for neuron labelling
stimuli_FP = myfopen("prototypes.stm", "w");
print_iarray(stimuli_FP, stim->groups, mp->nGroups, mp->sInputs);
fclose(stimuli_FP);
// Print Matlab friendly stimuli
printStimuli(stim, mp, "");
if (stim->newTestSet)
{
assert(stim->nTestStim == mp->nTestStimuli);
assert(stim->nTestTrans == mp->nTestTransPS);
}
else
{
mp->nTestStimuli = mp->nStimuli;
mp->nTestTransPS = mp->nTransPS;
stim->tst_stimuli = stim->trn_stimuli;
stim->nTestStim = mp->nTestStimuli;
stim->nTestTrans = mp->nTestTransPS;
}
}
else // (! mp->loadStimuli) Generate groups of stimuli
{
if (mp->priorPhases)
{
printf("\tGenerating PP grouped stimuli...");
printf("\t\"%s\"",PPSTFILE);
gStim->nStim = gStim->nTestStim = 0;
gStim->nTrans = gStim->nTestTrans = 0;
genGroups(gStim, mp); // Pass filename here *****************************
printGroups(gStim, mp, PPSTFILE);
printf("\tPP stimuli saved!\n");
}
printf("\tGenerating grouped stimuli...");
printf("\t\"%s\"",STFILE);
genGroups(stim, mp);
printGroups(stim, mp, STFILE);
assert(stim->nStim == mp->nStimuli);
assert(stim->nTrans == mp->nTransPS);
printf("\tGroups saved!\n");
// Print prototypes for neuron labelling
stimuli_FP = myfopen("prototypes.stm", "w");
print_iarray(stimuli_FP, stim->groups, mp->nGroups, mp->sInputs);
fclose(stimuli_FP);
genGroups(stim, mp);
printGroups(stim, mp, STFILE);
if (stim->newTestSet)
{
assert(stim->nTestStim == mp->nTestStimuli);
assert(stim->nTestTrans == mp->nTestTransPS);
}
else
{
mp->nTestStimuli = mp->nStimuli;
mp->nTestTransPS = mp->nTransPS;
stim->tst_stimuli = stim->trn_stimuli;
stim->nTestStim = mp->nTestStimuli;
stim->nTestTrans = mp->nTestTransPS;
}
}
}
else
{
printf("\tCreating the stimuli...");
gen_stimuli(mp->localRep, stim, mp); // Generate Patterns
printStimuli(stim, mp, ""); // Generalised to add a file prefix
printf("\tStimuli saved!\n");
}
// Generate shuffles
genShuffles(stim, mp);
if (mp->priorPhases)
genShuffles(gStim, mp);
// Set up variables for estimating percentage completion
SIM.tally = 0;
SIM.ptTS = (mp->pretrain) ? mp->nTestStimuli * mp->nTestTransPS * mp->transP_Test * ceil(1/mp->DT): 0;
SIM.trainTS = (mp->train) ? mp->loops * mp->nStimuli * mp->nTransPS * mp->transP_Train * ceil(1/mp->DT): 0;
SIM.testTS = mp->nTestStimuli * mp->nTestTransPS * mp->transP_Test * ceil(1/mp->DT);
if (mp->priorPhases) // Recalculate (as EfE phase may have differnt numbers of stimuli and trans...
{
SIM.trainTS += mp->loops * gStim->nStim * gStim->nTrans * mp->transP_Train * ceil(1/mp->DT); // REVISE
SIM.testTS += 2 * gStim->nTestStim * gStim->nTestTrans * mp->transP_Test * ceil(1/mp->DT);
}
SIM.totTS = SIM.ptTS + SIM.trainTS + SIM.testTS;
assert(SIM.totTS <= pow(2, 8*sizeof(tstep)-1)-1); // assumes tstep will be unsigned otherwise pow(2, 8*sizeof(tstep))-1
/*************** Simulation Phases ****************/
if (mp->priorPhases && !mp->loadWeights) // Lateral weight training
{
/*mp->trainElE = true;
if (mp->isolateEfE)
mp->trainEfE = false;*/
mp->nRecords = 0; // Disable records (or recalculate buffers)
if (mp->pretrain)
{
printf("\tNow beginning PP PreTraining phase...\n");
simulatePhase(Testing, "PP_pt", gStim);
printf("\tPP PreTraining complete!\n");
}
if (mp->isolateEfE)
{
mp->trainElE = true;
mp->trainEfE = false;
// Incorporate additional time steps into SIM.totTS
printf("\tNow beginning PP Training phase...\n");
simulatePhase(Training, "PP_", gStim); // Train ElE <only> with exemplars individually
printf("\tPP Training complete!\n");
printf("\tFixing PP weights...\t");
mp->trainElE = false; // May be better to let ElE adjust during EfE training...
mp->trainEfE = true;
printf("PP weights fixed!\n");
}
else //if (mp->isolateLayers) // Layer by layer training
{ // Allow combination i.e. layer by layer ElE then EfE?
char phasePrefix[BUFSIZ];
int l=0; //unsigned short int l=0;
int slen=0;
// Make a vector of REGIMETYPE or bools for training layers
bool * layerTrain = myalloc(mp->nLayers * sizeof(*layerTrain));
for (l=0; l<mp->nLayers; l++) { layerTrain[l] = false; }
int lstart = (mp->trainElE) ? 0 : 1;
for (l=lstart; l<mp->nLayers; l++)
{
// Print prefix
slen = snprintf(phasePrefix, BUFSIZ, "PP_L%dEfEtrain", l);
assert(slen < BUFSIZ);
// Set the FF layer to train
memset(layerTrain, 0, mp->nLayers*sizeof(*layerTrain));
layerTrain[l] = true;
simulatePhase(Training, phasePrefix, stim); // Add PPstim
// Skip all processing of layers beyond the last training layer?
// Test layer by layer?
}
}
/*// Incorporate additional time steps into SIM.totTS
printf("\tNow beginning PP Training phase...\n");
simulatePhase(Training, "_PP_", gStim); // Train ElE <only> with exemplars individually
printf("\tPP Training complete!\n");*/
if (mp->pretrain) // Test to confirm desynchronised representations for novel exemplars
{
printf("\tNow beginning PP Testing phase...\n");
simulatePhase(Testing, "PP_", gStim); // Test with novel exemplars combined
printf("\tPP Testing complete!\n");
}
/*printf("\tFixing PP weights...\t");
mp->trainElE = false; // May be better to let ElE adjust during EfE training...
printf("PP weights fixed!\n");
if (mp->isolateEfE)
mp->trainEfE = true;*/
if (mp->vRecords)
{
int l=0;
for (l=0; l<mp->nLayers; l++) // Reset Records
mp->nRecords += mp->vRecords[l];
}
}
if (mp->pretrain)
{
printf("\tNow beginning PreTraining phase...\n");
simulatePhase(Testing, "pt", stim);
printf("\tPreTraining complete!\n");
}
if (mp->train)
{
printf("\tNow beginning Training phase...\n");
simulatePhase(Training, "", stim);
printf("\tTraining complete!\n");
}
printf("\tNow beginning Testing phase...\n");
simulatePhase(Testing, "", stim);
printf("\tTesting complete!\n");
/*************** Deallocate Memory ****************/
printf("\tDeallocating memory...");
unallocn(n_E, mp->nLayers, mp->vExcit);
unallocn(n_I, mp->nLayers, mp->vInhib);
if (mp->SOM) // (mp->initElE == SOM || mp->initEfE == SOM || mp->axonDelay == SOMD)
freeTriF(distE, mp->nLayers);
if (mp->randStimOrder)
free_2D_iarray(stim->stimShuffle);//, mp->loops);
if (mp->randTransOrder) // || mp->randTransDirection)
free_3D_iarray(stim->transShuffle, mp->loops);//, mp->nStimuli);
if (mp->useFilteredImages)
{
free_7D_farray(stim->trnImages, mp->nStimuli, mp->nTransPS, mp->nScales, mp->nOrients, mp->nPhases);
if (stim->newTestSet)
free_7D_farray(stim->tstImages, mp->nTestStimuli, mp->nTestTransPS, mp->nScales, mp->nOrients, mp->nPhases);
}
else
{
if (mp->stimGroups)
myfree(stim->groups);
if (stim->newTestSet)
free_3D_farray(stim->trn_stimuli, stim->nStim);//, mp->nTransPS);
free_3D_farray(stim->tst_stimuli, stim->nTestStim);//, mp->nTransPS);
}
myfree(stim); // *** Free new image arrays too
if (mp->priorPhases) // Free second set of stimuli
{
if (mp->randStimOrder)
free_2D_iarray(gStim->stimShuffle);
if (mp->randTransOrder)
free_3D_iarray(gStim->transShuffle, mp->loops);
free_3D_farray(gStim->trn_stimuli, gStim->nStim);
if (gStim->newTestSet)
free_3D_farray(gStim->tst_stimuli, gStim->nTestStim);
if (mp->stimGroups) // Always true for PP?
myfree(gStim->groups);
myfree(gStim);
}
printf("\tMemory Deallocated!\n");
return 0;
}
void calcMemory(PARAMS * mp)
{
fprintf(stdout, "--------------------------------------------------------------------------------\n");
#if DEBUG > 1
fprintf(stdout, "Variable type:\tNEURON\tAXON \t* \tfloat \ttstep \tint\n");
fprintf(stdout, "Size (bytes): \t%-6lu\t%-6lu\t%-6lu\t%-6lu\t%-6lu\t%-6lu\t\n",\
sizeof(NEURON),sizeof(AXON),sizeof(int*),sizeof(float),sizeof(tstep),sizeof(int));
#endif
//size_t size = sizeof();
float EsynE = 0;
float EsynEfE = 0;
float EsynElE = 0;
float EsynIE = 0;
float EsynI = 0;
float EsynEI = 0;
float EsynII = 0;
float memE = 0.0;
float memI = 0.0;
float memMisc = 0.0;
float memTrain = 0.0;
float memTest = 0.0;
float Tmem = 0.0;
float avqEfE = 1;
float avqElE = 1;
float avqEI = 1;
int mult = 0;
float base = 0.0;
int MB = 1024*1024;
int l=0;
#if DEBUG > 1
fprintf(stdout, "\nLayer\tExcit \tInhib \tMem (MB)\n");
#endif
for (l=0; l<mp->nLayers; l++)
{
Tmem += (mp->vExcit[l]+mp->vInhib[l])*(sizeof(NEURON)+(mp->spkBuffer*(float)sizeof(tstep)))/MB;
#if DEBUG > 1
fprintf(stdout,"%-6d\t%-6d\t%-6d\t%-6.2f\n",l,mp->vExcit[l],mp->vInhib[l],\
(mp->vExcit[l]+mp->vInhib[l])*(sizeof(NEURON)+(mp->spkBuffer*(float)sizeof(tstep)))/MB);
#endif
}
if (mp->axonDelay)
{
avqEfE = (mp->delayEfE) ? meanQueue(mp, mp->delayEfE) : 1;
avqElE = (mp->delayElE) ? meanQueue(mp, mp->delayElE) : 1;
avqEI = (mp->delayEI) ? meanQueue(mp, mp->delayEI) : 1;
}
#if DEBUG > 1
//fprintf(stderr,"\nPresynaptic connection probabilites for Excitatory postsynaptic cells\n");
fprintf(stdout,"\n\tp(EfE)\tp(ElE)\tp(IE) \tE[syn] \tp(EI) \tp(II) \tE[syn]\tMem (MB)\n");
#endif
// Assumes minimum delay model i.e. 1 spike bin per axon for all except EfE, ElE & EI
for (l=0; l<mp->nLayers; l++)
{
EsynEfE = ((l>0) ? (mp->vExcit[l-1]*mp->pCnxEfE[l]) : 0) * mp->vExcit[l];
EsynElE = pow(mp->vExcit[l],2) * mp->pCnxElE[l];
EsynIE = mp->vInhib[l] * mp->pCnxIE[l] * mp->vExcit[l];
EsynE = EsynEfE + EsynElE + EsynIE;
memE = EsynE * (sizeof(AXON) + (sizeof(NEURON*) * 3))/MB;
memE += ((avqEfE*EsynEfE) + (avqElE*EsynElE) + EsynIE) * sizeof(tstep)/MB;
EsynEI = mp->vExcit[l] * mp->pCnxEI[l] * mp->vInhib[l];
EsynII = pow(mp->vInhib[l], 2) * mp->pCnxII[l];
EsynI = EsynEI + EsynII;
memI = EsynI * (sizeof(AXON) + (sizeof(NEURON*) * 3))/MB;
memI += (avqEI*EsynEI + EsynII) * sizeof(tstep)/MB;
#if DEBUG > 1
fprintf(stdout,"L%d:\t%-6.3f\t%-6.3f\t%-6.3f\t%-6.2G\t%-6.3f\t%-6.3f\t%-6.2G\t%-6.2f\n", \
l,mp->pCnxEfE[l],mp->pCnxElE[l],mp->pCnxIE[l],(float)EsynE, \
mp->pCnxEI[l],mp->pCnxII[l],(float)EsynI,memE+memI);
#endif
Tmem += (memE + memI);
}
#if DEBUG > 1
fprintf(stdout, "\nStimuli:\tStruct.\tTrain \tTest \tRecords\n");
#endif
if (mp->SOM) // Triangle of Distances // (mp->initElE == SOM || mp->initEfE == SOM || mp->axonDelay == SOMD)
{
for (l=0; l<mp->nLayers; l++)
memMisc += mp->vExcit[l]*(mp->vExcit[l]+1)/2; // Gauss' method
memMisc *= sizeof(float)/MB;
}
memE = 0.0;
if (mp->nRecords)
{
mult = 1; // V
base = (mp->RecordMS+1) * sizeof(float);
mult += ((mp->adaptation) ? 1 : 0) + ((mp->train) ? 1 : 0); // cCa & D
for (l=0; l<mp->nLayers; l++)
memE += mp->vRecords[l] * base;
mult = (mp->train && mp->trainElE) ? 3 : 1; // Lateral g (& Dg, C)
for (l=0; l<mp->nLayers; l++)
memE += mp->vRecords[l] * mp->vExcit[l] * mp->pCnxElE[l] * mult * base;
for (l=(mp->inputInhib ? 0 : 1); l<mp->nLayers; l++) // Sigma g_I
memE += mp->vRecords[l] * base;
for (l=1; l<mp->nLayers; l++)
memE += mp->vRecords[l]*((mp->train)?3:1)*(mp->vExcit[l-1]*mp->pCnxEfE[l])*base; // g (& Dg, C)
for (l=0; l<mp->nLayers; l++)
memE += mp->vRecords[l] * sizeof(RECORD); // Record structures
memE /= MB;
}
memMisc += (float)(sizeof(PARAMS) + \
((mp->randStimOrder)?mp->loops*mp->nStimuli*sizeof(int):0) + \
((mp->randTransOrder)?mp->loops*mp->nStimuli*mp->nTransPS*sizeof(int):0))/MB;
memTrain = (float)(mp->sInputs*mp->nStimuli*mp->nTransPS*sizeof(float))/MB;
memTest = (float)(mp->sInputs*mp->nTestStimuli*mp->nTestTransPS*sizeof(float))/MB;
#if DEBUG > 1
fprintf(stdout, "Size (MB)\t%-6.2f\t%-6.2f\t%-6.2f\t%-6.2f\n\n",memMisc,memTrain,memTest,memE);
#endif
Tmem += (memMisc + memTrain + memTest + memE);
fprintf(stdout, "Total memory requirements (approx.):\t%-6.3G MB\n",Tmem);
fprintf(stdout, "--------------------------------------------------------------------------------\n"); // Replace with horizontal line cmd?
}
float meanQueue(PARAMS * mp, DELAY synClass)
{
float avq = 1;
if (mp->axonDelay)
{
switch (synClass)
{
case MinD:
avq = 1;
break;
case ConstD:
avq = round(mp->d_const/mp->refract);
break;
case UniformD:
avq = (mp->d_min + ((mp->d_max - mp->d_min) / 2))/mp->refract;
break;
case GaussD:
avq = mp->d_mean / mp->refract;
break;
case SOMD:
avq = mp->maxDelay / (2.0 * mp->refract); // Reasonable for 1D layer
break;
default:
exit_error("create_axons", "Unknown axonal delay model!");
break;
}
//avq = (avq < 1) ? 1 : avq;
}
return avq; //(avq < 1) ? 1 : ceil(avq);
}
NEURON ** allocn (int nLays, int * vNeurons, NTYPE type)
{
int l, n;
int rowLen = 0;
int colLen = 0;
float sp_x = 0.0;
float sp_y = 0.0;
NEURON *space;
NEURON **narray;
// sizeof(*array) = sizeof(int **)
// sizeof(**array) = sizeof(int *)
// sizeof(***array) = sizeof(int)
int totNeurons = 0;
for (l=0; l<nLays; l++)
totNeurons += vNeurons[l];
space = myalloc(totNeurons * sizeof(*space)); /*** Ensures array is contiguous in memory ***/
narray = myalloc(nLays * sizeof(*narray));
totNeurons = 0;
for (l=0; l<nLays; l++)
{
narray[l] = space + totNeurons; //(l * nneurons);
totNeurons += vNeurons[l];
}
/* Allocate spike time bins and initialise connectors */
#pragma omp parallel default(shared) private(l,n,rowLen,colLen,sp_x,sp_y)
{
for (l=0; l<nLays; l++)
{
rowLen = mp->layDim[l].nCols; //rowSize = (mp->SOM && !(l==0 && mp->SOMinput)) ? mp->layDim[l].nCols : vNeurons[l];
colLen = mp->layDim[l].nRows;
sp_x = 1.0/mp->layDim[l].nCols; // x spacing
sp_y = 1.0/mp->layDim[l].nRows; // y spacing
#if DEBUG > 3
#pragma omp master
printf("\nLayer %d: nRows = %d; nCols = %d; sp_x = %f; sp_y = %f\n",l,mp->layDim[l].nRows,mp->layDim[l].nCols,sp_x,sp_y);
#pragma omp barrier
#endif
#pragma omp for
for (n=0; n<vNeurons[l]; n++)
{
narray[l][n].spkbin = 0;
//if (mp->useFilteredImages && type==EXCIT && l==0)
// narray[l][n].spikeTimes = myalloc(mp->inpSpkBuff * sizeof(narray[l][n].spikeTimes[0]));
//else
narray[l][n].spikeTimes = myalloc(mp->spkBuffer * sizeof(narray[l][n].spikeTimes[0]));
narray[l][n].type = type; //(type==EXCIT) ? EXCIT : INHIB;
narray[l][n].nFAff_E = 0;
narray[l][n].FAffs_E = NULL; // **
narray[l][n].lm1presyn_E = NULL; // **
narray[l][n].nLAff_E = 0;
narray[l][n].LAffs_E = NULL; // **
narray[l][n].lm0presyn_E = NULL; // **
narray[l][n].nLAff_I = 0;
narray[l][n].LAffs_I = NULL; // **
narray[l][n].lm0presyn_I = NULL; // **
narray[l][n].n = n; // Linear index
narray[l][n].l = l;
// The 2D indexes apply to simple inputs (no hypercolumns) // Consider 1D/2D/3D layers and square/rectangular
narray[l][n].row = n / rowLen; // implied floor()
narray[l][n].col = n % rowLen; // n % b := b - (n * floor(b/n))
narray[l][n].x = (sp_x/2 + (narray[l][n].col * sp_x)) * mp->spatialScale; // col: 0,1,...,rowLen-1
narray[l][n].y = (sp_y/2 + (((colLen - 1) - narray[l][n].row) * sp_y)) * mp->spatialScale; // row indices and y coordinates run opposite
// Multiply x & y coords by a spatial scaling factor so condSpeed can be biologically accurate?
#if DEBUG > 3
printf("L%dN%d [R%d,C%d]:(%f,%f); ",l,n,narray[l][n].row,narray[l][n].col,narray[l][n].x,narray[l][n].y);
#endif
narray[l][n].nFEff_E = 0;
narray[l][n].FEffs_E = NULL;
narray[l][n].lp1postsyn_E = NULL; // **
narray[l][n].nLEff_E = 0;
narray[l][n].LEffs_E = NULL;
narray[l][n].lp0postsyn_E = NULL; // **
narray[l][n].nLEff_I = 0;
narray[l][n].LEffs_I = NULL;
narray[l][n].lp0postsyn_I = NULL; // **
narray[l][n].rec_flag = false;
narray[l][n].rec = NULL;
}
}
}
// Include connectivity arrays?
// Create vRecords before allocn, then here calcConnectivity & allocRecords?
return narray;
}
int unallocn (NEURON ** narray, int nLays, int * vNeurons)
{
int l, n, s;
for (l=0; l<nLays; l++)
{
for (n=0; n<vNeurons[l]; n++)
{
myfree(narray[l][n].spikeTimes);
for (s=0; s<narray[l][n].nFEff_E; s++)
myfree(narray[l][n].FEffs_E[s].queue);
myfree(narray[l][n].FEffs_E);
myfree(narray[l][n].lp1postsyn_E);
myfree(narray[l][n].FAffs_E);
myfree(narray[l][n].lm1presyn_E);
for (s=0; s<narray[l][n].nLEff_E; s++)
myfree(narray[l][n].LEffs_E[s].queue);
myfree(narray[l][n].LEffs_E);
myfree(narray[l][n].lp0postsyn_E);
myfree(narray[l][n].LAffs_E);
myfree(narray[l][n].lm0presyn_E);
for (s=0; s<narray[l][n].nLEff_I; s++)
myfree(narray[l][n].LEffs_I[s].queue);
myfree(narray[l][n].LEffs_I);
myfree(narray[l][n].lp0postsyn_I);
myfree(narray[l][n].LAffs_I);
myfree(narray[l][n].lm0presyn_I);
if (narray[l][n].rec_flag)
{
myfree(narray[l][n].rec->cellV);//, mp->loops);
if (mp->adaptation)
myfree(narray[l][n].rec->cellcCa);
if (narray[l][n].nLAff_I)
myfree(narray[l][n].rec->LsigGI);
if (narray[l][n].nFAff_E) //(l>0)
free_2D_farray(narray[l][n].rec->FSynG);
if (narray[l][n].nLAff_E) // Synaptic variables are stored with the post-synaptic neuron
free_2D_farray(narray[l][n].rec->LSynG);
if (mp->train)
{
myfree(narray[l][n].rec->cellD);//, mp->loops);
if (narray[l][n].nFAff_E) //(l>0) // Here the synaptic variables are stored with the post-synaptic neuron
{
free_2D_farray(narray[l][n].rec->FSynDG);
free_2D_farray(narray[l][n].rec->FSynC);
}
if (mp->trainElE && narray[l][n].nLAff_E) //mp->train)
{
free_2D_farray(narray[l][n].rec->LSynDG);
free_2D_farray(narray[l][n].rec->LSynC);
}
}
/*if (l<mp->nWLayers)
{
free_3D_farray(narray[l][n].rec->SynC, mp->loops);//, narray[l][n].nFAff_E);
free_3D_farray(narray[l][n].rec->SynG, mp->loops);//, narray[l][n].nFAff_E);
free_3D_farray(narray[l][n].rec->SynDG, mp->loops);//, narray[l][n].nFAff_E);
}*/
myfree(narray[l][n].rec);
}
}
}
myfree(*narray);
myfree(narray);
return 0;
}
void calcConnectivity(bool probConnect)
{
int l = 0;
int n = 0;
int s = 0;
int slen = 0;
char filename[FNAMEBUFF];
FILE * connections_FP;
int i, j, nRows, nCols; //, d_h, d_w, h_min, w_min;
i = j = nRows = nCols = 0; // d_h = d_w = h_min = w_min = 0;
if (mp->SOM) //(mp->initElE == SOM || mp->initEfE == SOM || mp->axonDelay == SOMD)
{
/*if (mp->SOM == 2)
phiScale = 1/(mp->SOMsigE*sqrt(2*M_PI)); */
// Build distance matrix - could build a much smaller one based upon distE[l][abs(r1-r2)][abs(c1-c2)]
for (l=0; l<mp->nLayers; l++)
{
#if DEBUG > 3
printf("\nLayer %d: nRows = %d; nCols = %d;\n",l,mp->layDim[l].nRows,mp->layDim[l].nCols);
#endif
for (i=0; i<mp->vExcit[l]; i++)
{
#if DEBUG > 3
printf("L%dN%d [R%d,C%d]:(%f,%f); ",l,i,n_E[l][i].row,n_E[l][i].col,n_E[l][i].x,n_E[l][i].y);
#endif
for (j=0; j<=i; j++) // Triangular array
{
distE[l][i][j] = calcDistance(&n_E[l][i], &n_E[l][j], mp->spatialScale);//mp->layDim);
#if DEBUG > 3
printf("Dist: N%d[%d,%d] --> N%d[%d,%d] = %f\n", i, n_E[l][i].row, n_E[l][i].col, \
j, n_E[l][j].row, n_E[l][j].col, readLowTriF(distE, l, i, j));
#endif
/*if (mp->SOM == 2) // Probabilistically connect
probE[l][i][j] = probE[l][j][i] = phiScale * exp(-pow(distance,2)/(2*pow(mp->SOMsigE,2))); // mu = 0*/
}
}
}
}
if (!probConnect)
mp->probConnect = true;
/*if (!probConnect) // Deprecated - remove mp->probConnect
{
calc_connectivity();
return;
}*/
/* Wire afferents */
if (mp->loadWeights)
{
#if DEBUG > 1
printf("\nWarning: Loading weights requires the same size network as the loaded simulation!");
#endif
loadAfferents(""); // Optionally pass suffix string
}
else
{
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
wireAfferents(&n_E[l][n], mp->pCnxEfE[l], mp->pCnxElE[l], mp->pCnxIE[l]);
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vInhib[l]; n++)
wireAfferents(&n_I[l][n], 0.0, mp->pCnxEI[l], mp->pCnxII[l]);
}
/* Allocate efferents */
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
alloc_efferents(&n_E[l][n]);
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vInhib[l]; n++)
alloc_efferents(&n_I[l][n]);
/* Wire efferents */
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
wire_efferents(&n_E[l][n]);
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vInhib[l]; n++)
wire_efferents(&n_I[l][n]);
/*** Axonal delays ***/
/*#if DEBUG > 1
switch (mp->axonDelay)
{
case MinD:
printf("\nSetting axonal delays to minimum\n");
break;
case ConstD:
printf("\nSetting axonal delays to %f seconds\n",mp->d_const);
break;
case UniformD:
printf("\nDrawing axonal delays from [%f, %f]\n",mp->d_min, mp->d_max);
break;
case GaussD:
printf("\nDrawing axonal delays from N(%f,%f)\n",mp->d_mean, mp->d_sd);
break;
case SOMD:
printf("\nSetting axonal delays (ElE) proportional to Euclidean distances\n");
break;
default:
printf("\nError: Unknown axonal delay model!\n");
break;
}
#endif*/
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
create_axons(&n_E[l][n], mp);
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vInhib[l]; n++)
create_axons(&n_I[l][n], mp);
/* Given a particular postsynaptic neuron <E|I>, n, and its synapse, s, the presynaptic
cell forming the synapse <E|I> is given by presyncnx_<E|I><E|I>[l][n][s]. */
/* NB If connections from the previous and the same layer are required, can label each neuron from 0
to (NEXCIT*NLAYERS)-1 (the neuron ID) with l=floor(NID/NEXCIT) and n=((NID+1)%NEXCIT)-1. */
/* For affNeurons_EfE[0][n][s] : layer 0 cells --> layer 1 cells (NWLAYERS)
For affNeurons_ElE[0][n][s] : layer 0 cells --> layer 0 cells (NLAYERS)
For affNeurons_IE[0][n][s] : layer 0 cells --> layer 0 cells (NLAYERS)
For affNeurons_EI[0][n][s] : layer 0 cells --> layer 0 cells (NLAYERS)
For affNeurons_II[0][n][s] : layer 0 cells --> layer 0 cells (NLAYERS) */
/*
int s=0;
int tot = 0;
for (l=0; l<mp->nWLayers; l++)
for (n=0; n<mp->vExcit[l+1]; n++)
tot += n_E[l+1][n].nFAff_E;
int *space = myalloc(tot*sizeof(*space));
tot = 0;
affNeurons_EfE = myalloc(mp->nWLayers*sizeof(*affNeurons_EfE));
for (l=0; l<mp->nWLayers; l++)
{
affNeurons_EfE[l] = myalloc(mp->vExcit[l+1]*sizeof(**affNeurons_EfE));
for (n=0; n<mp->vExcit[l+1]; n++)
{
affNeurons_EfE[l][n] = space + tot;
tot += n_E[l+1][n].nFAff_E;
}
}
for (l=0; l<mp->nWLayers; l++)
for (n=0; n<mp->vExcit[l+1]; n++)
for (s=0; s<n_E[l+1][n].nFAff_E; s++)
affNeurons_EfE[l][n][s] = (n_E[l+1][n].lm1presyn_E[s])->n;
tot = 0;
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
tot = tot + n_E[l][n].nLAff_E;
space = myalloc(tot*sizeof(*space));
tot = 0;
affNeurons_ElE = myalloc(mp->nLayers*sizeof(*affNeurons_ElE));
for (l=0; l<mp->nLayers; l++)
{
affNeurons_ElE[l] = myalloc(mp->vExcit[l]*sizeof(**affNeurons_ElE));
for (n=0; n<mp->vExcit[l]; n++)
{
affNeurons_ElE[l][n] = space + tot;
tot += n_E[l][n].nLAff_E;
}
}
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nLAff_E; s++)
affNeurons_ElE[l][n][s] = (n_E[l][n].lm0presyn_E[s])->n;
*/
/************** FILE OUTPUT **************/
if (mp->printConnections && !mp->loadWeights)
{
printf("\n\t\tPrinting connectivity to files...\t");
for (l=0; l<mp->nWLayers; l++) // Loop up to nWLayers
{
slen = snprintf(filename, FNAMEBUFF, "L%daffNeuronsEfE.dat", l+1);
assert(slen < FNAMEBUFF);
connections_FP = myfopen(filename, "w");
for (n=0; n<mp->vExcit[l+1]; n++)
{
fprintf(connections_FP, "%d\t", n_E[l+1][n].nFAff_E); // Print number of EfE synapses first
for (s=0; s<n_E[l+1][n].nFAff_E; s++)
fprintf(connections_FP, "%d ", n_E[l+1][n].lm1presyn_E[s]->n);
fprintf(connections_FP, "\n");
}
fclose(connections_FP);
}
if (mp->delayEfE) // Print EfE delays (anything other than minimum)
{
for (l=0; l<mp->nWLayers; l++) // Loop up to nWLayers
{
slen = snprintf(filename, FNAMEBUFF, "L%daffDelaysEfE.dat", l+1);
assert(slen < FNAMEBUFF);
connections_FP = myfopen(filename, "w");
for (n=0; n<mp->vExcit[l+1]; n++)
{
fprintf(connections_FP, "%d\t", n_E[l+1][n].nFAff_E); // Print number of EfE synapses first
for (s=0; s<n_E[l+1][n].nFAff_E; s++)
fprintf(connections_FP, "%d ", n_E[l+1][n].FAffs_E[s]->delay);
fprintf(connections_FP, "\n");
}
fclose(connections_FP);
}
}
for (l=0; l<mp->nLayers; l++)
{
slen = snprintf(filename, FNAMEBUFF, "L%daffNeuronsElE.dat", l);
assert(slen < FNAMEBUFF);
connections_FP = myfopen(filename, "w");
for (n=0; n<mp->vExcit[l]; n++)
{
fprintf(connections_FP, "%d\t", n_E[l][n].nLAff_E); // Print number of ElE synapses first
for (s=0; s<n_E[l][n].nLAff_E; s++) // if (mp->pCnxElE[l] > EPS)
fprintf(connections_FP, "%d ", n_E[l][n].lm0presyn_E[s]->n);
fprintf(connections_FP, "\n");
}
fclose(connections_FP);
}
if (mp->SOM) //(mp->initElE == SOM || mp->initEfE == SOM || mp->axonDelay == SOMD) // Print ElE distance
{
for (l=0; l<mp->nLayers; l++)
{
slen = snprintf(filename, FNAMEBUFF, "L%ddistElE.dat", l);
assert(slen < FNAMEBUFF);
connections_FP = myfopen(filename, "w");
for (i=0; i<mp->vExcit[l]; i++)
{
for (j=0; j<=i; j++)
fprintf(connections_FP, "%f ", readLowTriF(distE, l, i, j));//distE[l][i][j]);
fprintf(connections_FP, "\n");
}
fclose(connections_FP);
}
if (mp->delayElE) // Print ElE delays
{
for (l=0; l<mp->nLayers; l++)
{
slen = snprintf(filename, FNAMEBUFF, "L%daffDelaysElE.dat", l);
assert(slen < FNAMEBUFF);
connections_FP = myfopen(filename, "w");
for (n=0; n<mp->vExcit[l]; n++)
{
fprintf(connections_FP, "%d\t", n_E[l][n].nLAff_E); // Print number of ElE synapses first (in case any have 0)
for (s=0; s<n_E[l][n].nLAff_E; s++)
fprintf(connections_FP, "%d ", n_E[l][n].LAffs_E[s]->delay);
fprintf(connections_FP, "\n");
}
fclose(connections_FP);
}
}
}
for (l=0; l<mp->nLayers; l++)
{
slen = snprintf(filename, FNAMEBUFF, "L%daffNeuronsEI.dat", l);
assert(slen < FNAMEBUFF);
connections_FP = myfopen(filename, "w");
for (n=0; n<mp->vInhib[l]; n++)
{
fprintf(connections_FP, "%d\t", n_I[l][n].nLAff_E); // Print number of EI synapses first
for (s=0; s<n_I[l][n].nLAff_E; s++) // if (mp->pCnxEI[l] > EPS)
fprintf(connections_FP, "%d ", n_I[l][n].lm0presyn_E[s]->n);
fprintf(connections_FP, "\n");
}
fclose(connections_FP);
}
if (mp->delayEI) // Print EI delays
{
for (l=0; l<mp->nLayers; l++)
{
slen = snprintf(filename, FNAMEBUFF, "L%daffDelaysEI.dat", l);
assert(slen < FNAMEBUFF);
connections_FP = myfopen(filename, "w");
for (n=0; n<mp->vInhib[l]; n++)
{
fprintf(connections_FP, "%d\t", n_I[l][n].nLAff_E); // Print number of EI synapses first (in case any have 0)
for (s=0; s<n_I[l][n].nLAff_E; s++)
fprintf(connections_FP, "%d ", n_I[l][n].LAffs_E[s]->delay);
fprintf(connections_FP, "\n");
}
fclose(connections_FP);
}
}
for (l=0; l<mp->nLayers; l++)
{
slen = snprintf(filename, FNAMEBUFF, "L%daffNeuronsIE.dat", l);
assert(slen < FNAMEBUFF);
connections_FP = myfopen(filename, "w");
for (n=0; n<mp->vExcit[l]; n++)
{
fprintf(connections_FP, "%d\t", n_E[l][n].nLAff_I); // Print number of IE synapses first
for (s=0; s<n_E[l][n].nLAff_I; s++) // if (mp->pCnxIE[l] > EPS)
fprintf(connections_FP, "%d ", n_E[l][n].lm0presyn_I[s]->n);
fprintf(connections_FP, "\n");
}
fclose(connections_FP);
}
for (l=0; l<mp->nLayers; l++)
{
slen = snprintf(filename, FNAMEBUFF, "L%daffNeuronsII.dat", l);
assert(slen < FNAMEBUFF);
connections_FP = fopen(filename, "w");
for (n=0; n<mp->vInhib[l]; n++)
{
fprintf(connections_FP, "%d\t", n_I[l][n].nLAff_I); // Print number of II synapses first
for (s=0; s<n_I[l][n].nLAff_I; s++) // if (mp->pCnxII[l] > EPS)
fprintf(connections_FP, "%d ", n_I[l][n].lm0presyn_I[s]->n);
fprintf(connections_FP, "\n");
}
fclose(connections_FP);
}
printf("Connectivity saved!\n");
}
/************** END OF FILE OUTPUT **************/
return; //void?
}
float calcDistance(NEURON * n1, NEURON * n2, float scale) //DIM * D)
{
float deltaW = fabs(n1->x - n2->x);
float deltaH = fabs(n1->y - n2->y);
float deltaD = (n1->l - n2->l); //* scale;
//int l = MIN(n1->l, n2->l); // Use lower layer since convergence is FF
/*fprintf(stderr, "dW = %f; dH = %f; scale = %f; mp->spatialScale = %f;",deltaW,deltaH,scale,mp->spatialScale);
float minW = (fabs(deltaW) < fabs(deltaW + mp->spatialScale)) ? (deltaW) : (deltaW + mp->spatialScale);
float minH = (fabs(deltaH) < fabs(deltaH + mp->spatialScale)) ? (deltaH) : (deltaH + mp->spatialScale);
fprintf(stderr, "minW = %f; minH = %f;\n",minW, minH);*/
deltaW = MIN(fabs(deltaW), fabs(deltaW - scale)); //D[l].nCols)); // Periodic boundary conditions
deltaH = MIN(fabs(deltaH), fabs(deltaH - scale)); //D[l].nRows)); // Periodic boundary conditions
return sqrt(pow(deltaH,2) + pow(deltaW,2) + pow(deltaD,2));
}
void loadAfferents(const char * suffix)
{
char * str, fname[FNAMEBUFF], buff[131072]; //128KB
char * delims = " \t";
int sLen=0, l=0, n=0, s=0;
FILE * affFP;
NEURON * N;
for (l=0; l<mp->nLayers; l++) // Same order of processing to preserve efferent synapses order
{
// Check for passed filename or archive file???
if (l>0) // Load (afferent) EfE connections
{
sLen = snprintf(fname, FNAMEBUFF, "L%daffNeuronsEfE%s.dat", l, suffix);
assert(sLen < FNAMEBUFF);
affFP = myfopen(fname, "r"); //Feed-forward weights
for (n=0; n<mp->vExcit[l]; n++)
{
if (!(str = fgets(buff, sizeof(buff), affFP)))
exit_error("loadConnections", "NULL string reading EfE connections");
N = &n_E[l][n];
N->nFAff_E = atoi(strtok(buff, delims)); // First number is #presyn connections
assert(N->nFAff_E <= mp->vExcit[l-1]);
N->lm1presyn_E = myalloc(N->nFAff_E * sizeof(NEURON *));
N->FAffs_E = myalloc(N->nFAff_E * sizeof(AXON *));
for (s=0; s<N->nFAff_E && (str = strtok(NULL, delims))!=NULL; s++)
{
n_E[l][n].lm1presyn_E[s] = &n_E[l-1][atoi(str)];
n_E[l-1][atoi(str)].nFEff_E++;
}
}
fclose(affFP);
}
// Load (afferent) ElE connections
sLen = snprintf(fname, FNAMEBUFF, "L%daffNeuronsElE%s.dat", l, suffix);
assert(sLen < FNAMEBUFF);
affFP = myfopen(fname, "r"); //Lateral weights
for (n=0; n<mp->vExcit[l]; n++)
{
if (!(str = fgets(buff, sizeof(buff), affFP)))
exit_error("loadConnections", "NULL string reading ElE connections");
N = &n_E[l][n];
N->nLAff_E = atoi(strtok(buff, delims)); // First number is #presyn connections
assert(N->nLAff_E <= mp->vExcit[l]);
N->lm0presyn_E = myalloc(N->nLAff_E * sizeof(NEURON *));
N->LAffs_E = myalloc(N->nLAff_E * sizeof(AXON *));
for (s=0; s<N->nLAff_E && (str = strtok(NULL, delims))!=NULL; s++)
{
N->lm0presyn_E[s] = &n_E[l][atoi(str)];
n_E[l][atoi(str)].nLEff_E++;
}
}
fclose(affFP);
// Load (afferent) IlE connections
sLen = snprintf(fname, FNAMEBUFF, "L%daffNeuronsIE%s.dat", l, suffix);
assert(sLen < FNAMEBUFF);
affFP = myfopen(fname, "r"); //Lateral weights
for (n=0; n<mp->vExcit[l]; n++)
{
if (!(str = fgets(buff, sizeof(buff), affFP)))
exit_error("loadConnections", "NULL string reading IE connections");
N = &n_E[l][n];
N->nLAff_I = atoi(strtok(buff, delims)); // First number is #presyn connections
assert(N->nLAff_I <= mp->vInhib[l]);
N->lm0presyn_I = myalloc(N->nLAff_I * sizeof(NEURON *));
N->LAffs_I = myalloc(N->nLAff_I * sizeof(AXON *));
for (s=0; s<N->nLAff_I && (str = strtok(NULL, delims))!=NULL; s++)
{
N->lm0presyn_I[s] = &n_I[l][atoi(str)];
n_I[l][atoi(str)].nLEff_E++;
}
}
fclose(affFP);
// Load (afferent) ElI connections
sLen = snprintf(fname, FNAMEBUFF, "L%daffNeuronsEI%s.dat", l, suffix);
assert(sLen < FNAMEBUFF);
affFP = myfopen(fname, "r"); //Lateral weights
for (n=0; n<mp->vInhib[l]; n++)
{
if (!(str = fgets(buff, sizeof(buff), affFP)))
exit_error("loadConnections", "NULL string reading EI connections");
N = &n_I[l][n];
N->nLAff_E = atoi(strtok(buff, delims)); // First number is #presyn connections
assert(N->nLAff_E <= mp->vExcit[l]);
N->lm0presyn_E = myalloc(N->nLAff_E * sizeof(NEURON *));
N->LAffs_E = myalloc(N->nLAff_E * sizeof(AXON *));
for (s=0; s<N->nLAff_E && (str = strtok(NULL, delims))!=NULL; s++)
{
N->lm0presyn_E[s] = &n_E[l][atoi(str)];
n_E[l][atoi(str)].nLEff_I++;
}
}
fclose(affFP);
// Load (afferent) IlI connections
sLen = snprintf(fname, FNAMEBUFF, "L%daffNeuronsII%s.dat", l, suffix);
assert(sLen < FNAMEBUFF);
affFP = myfopen(fname, "r"); //Lateral weights
for (n=0; n<mp->vInhib[l]; n++)
{
if (!(str = fgets(buff, sizeof(buff), affFP)))
exit_error("loadConnections", "NULL string reading II connections");
N = &n_I[l][n];
N->nLAff_I = atoi(strtok(buff, delims)); // First number is #presyn connections
assert(N->nLAff_I <= mp->vInhib[l]);
N->lm0presyn_I = myalloc(N->nLAff_I * sizeof(NEURON *));
N->LAffs_I = myalloc(N->nLAff_I * sizeof(AXON *));
for (s=0; s<N->nLAff_I && (str = strtok(NULL, delims))!=NULL; s++)
{
N->lm0presyn_I[s] = &n_I[l][atoi(str)];
n_I[l][atoi(str)].nLEff_I++;
}
}
fclose(affFP);
}
}
// Try using this macro trick to condense wiring routines by replacing lm0presynE etc.
// #define BUILD_FIELD(field) my_struct.inner_struct.union_a.##field
// Now, when used with a particular field name, it will expand to something like
// my_struct.inner_struct.union_a.field1
void wireAfferents(NEURON * n, float pEfn, float pEln, float pIln)
{
int s;//,l;
int buff;
/*** Ef synapses ***/
if (pEfn > EPS) // (n->type == EXCIT && n->l>0)
{
buff = ceil(pEfn * mp->vExcit[n->l-1]);
n->lm1presyn_E = myalloc(buff * sizeof(NEURON *));
n->nFAff_E = 0;
for (s=0; s<mp->vExcit[n->l-1]; s++) //if (n->nFAff_E > 0)
{
if (gsl_rng_uniform(mSeed) < pEfn) // Make presynaptic connection //ran3(&idum)
{
n->lm1presyn_E[n->nFAff_E++] = &n_E[n->l-1][s];
n_E[n->l-1][s].nFEff_E++; // Critical section if this function is parallelised
if (n->nFAff_E == buff)
{
buff = (buff < mp->vExcit[n->l-1]/2) ? ceil(2 * buff) : mp->vExcit[n->l-1];
n->lm1presyn_E = myrealloc(n->lm1presyn_E, buff * sizeof(NEURON *));
}
}
}
n->lm1presyn_E = myrealloc(n->lm1presyn_E, n->nFAff_E * sizeof(NEURON *));
n->FAffs_E = myalloc(n->nFAff_E * sizeof(AXON *)); // Create array of AXON pointers
}
/*if (pEln < 0.0) // SOM architecture
{
}*/
/*** Lateral El synapses ***/
if (pEln > EPS)
{
buff = ceil(pEln * mp->vExcit[n->l]);
n->lm0presyn_E = myalloc(buff * sizeof(NEURON *)); // Create array of NEURON pointers
n->nLAff_E = 0;
float cutoff = mp->SOMclip * mp->SOMsigE; //int?
for (s=0; s<mp->vExcit[n->l]; s++)
{
if ((n->n == n_E[n->l][s].n) && n->type==EXCIT) // Do not self synapse (i != j)
continue;
/* Collapse this branch!!! */
if (n->type==EXCIT && (readLowTriF(distE, n->l, n->n, n_E[n->l][s].n) < cutoff)) // ElE of SOM within range //mp->SOM &&
{
if(gsl_rng_uniform(mSeed) < pEln) // Connect
{
n->lm0presyn_E[n->nLAff_E++] = &n_E[n->l][s];
n_E[n->l][s].nLEff_E++;
if (n->nLAff_E == buff)
{
buff = (buff < mp->vExcit[n->l]/2) ? ceil(2 * buff) : mp->vExcit[n->l];
n->lm0presyn_E = myrealloc(n->lm0presyn_E, buff * sizeof(NEURON *));
}
}
}
else // ElI || !SOM && ElE
{
if(gsl_rng_uniform(mSeed) < pEln) // Connect
{//if (mp->SOM && n->type==EXCIT && (readLowTriF(distE, n->l, n->n, n_E[n->l][s].n) > mp->SOMclip*mp->SOMsigE)); continue; // Out of range
n->lm0presyn_E[n->nLAff_E++] = &n_E[n->l][s];
if (n->type == EXCIT)
n_E[n->l][s].nLEff_E++;
else if (n->type == INHIB)
n_E[n->l][s].nLEff_I++;
if (n->nLAff_E == buff)
{
buff = (buff < mp->vExcit[n->l]/2) ? ceil(2 * buff) : mp->vExcit[n->l];
n->lm0presyn_E = myrealloc(n->lm0presyn_E, buff * sizeof(NEURON *));
}
}
}
}
n->lm0presyn_E = myrealloc(n->lm0presyn_E, n->nLAff_E * sizeof(NEURON *));
n->LAffs_E = myalloc(n->nLAff_E * sizeof(AXON *)); // Create array of AXON pointers
}
/*** Lateral I Synapses ***/
if (pIln > EPS)
{
buff = ceil(pIln * mp->vInhib[n->l]);
n->lm0presyn_I = myalloc(buff * sizeof(NEURON *));
n->nLAff_I = 0;
for (s=0; s<mp->vInhib[n->l]; s++)
{
if ((n->n == n_I[n->l][s].n) && n->type==INHIB) // Do not self synapse
continue;
if (gsl_rng_uniform(mSeed) < pIln) //ran3(&idum)
{
n->lm0presyn_I[n->nLAff_I++] = &n_I[n->l][s]; // Point to presynaptic neuron
if (n->type == EXCIT)
n_I[n->l][s].nLEff_E++;
else if (n->type == INHIB)
n_I[n->l][s].nLEff_I++;
if (n->nLAff_I == buff)
{
buff = (buff < mp->vInhib[n->l]/2) ? ceil(2 * buff) : mp->vInhib[n->l];
n->lm0presyn_I = myrealloc(n->lm0presyn_I, buff * sizeof(NEURON *));
}
}
}
n->lm0presyn_I = myrealloc(n->lm0presyn_I, n->nLAff_I * sizeof(NEURON *));
n->LAffs_I = myalloc(n->nLAff_I * sizeof(AXON *)); // Create array of AXON pointers
}
return;
}
void alloc_efferents(NEURON * n)
{
//if (n->FEffs_E > 0)
n->FEffs_E = myalloc(n->nFEff_E * sizeof(AXON));
n->lp1postsyn_E = myalloc(n->nFEff_E * sizeof(NEURON *));
n->nFEff_E = 0; // Reset to 0 as a synapse counter in wire_afferents
//if (n->LEffs_E > 0)
n->LEffs_E = myalloc(n->nLEff_E * sizeof(AXON));
n->lp0postsyn_E = myalloc(n->nLEff_E * sizeof(NEURON *));
n->nLEff_E = 0; // Reset to 0 as a synapse counter in wire_afferents
//if (n->LEffs_I > 0)
n->LEffs_I = myalloc(n->nLEff_I * sizeof(AXON));
n->lp0postsyn_I = myalloc(n->nLEff_I * sizeof(NEURON *));
n->nLEff_I = 0; // Reset to 0 as a synapse counter in wire_afferents
return;
}
// Parallelizable? // Split into two functions?
void wire_efferents(NEURON * n)
{
int s, effCount;
NEURON * pre_n;
/* This function takes a NEURON * and wires the efferents of all its pre-synaptic neurons to it */
if (n->type == EXCIT) /* Excitatory Post-synaptic neurons */
{
// Pre-synaptic : EXCIT (f) | Post-synaptic : EXCIT
for (s=0; s<n->nFAff_E; s++)
{
pre_n = (NEURON *) n->lm1presyn_E[s];
effCount = pre_n->nFEff_E++;
n->FAffs_E[s] = &pre_n->FEffs_E[effCount]; // Point to presynaptic efferent axon
pre_n->lp1postsyn_E[effCount] = n; // Point to postsynaptic neuron
}
// Pre-synaptic : EXCIT (l) | Post-synaptic : EXCIT
for (s=0; s<n->nLAff_E; s++)
{
pre_n = (NEURON *) n->lm0presyn_E[s];
effCount = pre_n->nLEff_E++; // records how many post-syn connections have been wired up
n->LAffs_E[s] = &pre_n->LEffs_E[effCount]; // Point to presynaptic efferent axon
pre_n->lp0postsyn_E[effCount] = n; // Point to postsynaptic neuron
}
// Pre-synaptic : INHIB | Post-synaptic: EXCIT
for (s=0; s<n->nLAff_I; s++)
{
pre_n = (NEURON *) n->lm0presyn_I[s];
effCount = pre_n->nLEff_E++; // records how many post-syn connections have been wired up
n->LAffs_I[s] = &pre_n->LEffs_E[effCount]; // Point to presynaptic efferent axon
pre_n->lp0postsyn_E[effCount] = n; // Point to postsynaptic neuron
}
}
else if (n->type == INHIB) /* Inhibitory Post-synaptic neurons */
{
// Pre-synaptic : EXCIT | Post-synaptic : INHIB
for (s=0; s<n->nLAff_E; s++)
{
pre_n = (NEURON *) n->lm0presyn_E[s];
assert(n->lm0presyn_E[s]->type == EXCIT && n->type == INHIB);
effCount = pre_n->nLEff_I++; // records how many post-syn connections have been wired up
n->LAffs_E[s] = &pre_n->LEffs_I[effCount]; // Point to presynaptic efferent axon
pre_n->lp0postsyn_I[effCount] = n; // Point to postsynaptic neuron
}
// Pre-synaptic : INHIB | Post-synaptic : INHIB
for (s=0; s<n->nLAff_I; s++)
{
pre_n = (NEURON *) n->lm0presyn_I[s];
assert(n->lm0presyn_I[s]->type == INHIB && n->type == INHIB);
effCount = pre_n->nLEff_I++; // records how many post-syn connections have been wired up
n->LAffs_I[s] = &pre_n->LEffs_I[effCount]; // Point to presynaptic efferent axon
pre_n->lp0postsyn_I[effCount] = n; // Point to postsynaptic neuron
}
}
}
void create_axons(NEURON * n, PARAMS * mp)
{
/*** Axonal delays specified in seconds must be converted to timesteps ***/
tstep delay = 0;
//int nBins = 0;
int span = 0;
int s = 0;
if (n->type == EXCIT) // Excitatory neuron -> {E,I} delays
{
// EfE Delays
switch (mp->delayEfE) //(mp->axonDelay)
{
case MinD:
delay = 1;
break;
case ConstD:
delay = round(mp->d_const/mp->DT);
delay = (!delay) ? 1 : delay;
break;
case UniformD:
span = mp->d_max - mp->d_min;
break;
case GaussD:
break;
case SOMD:
break;
default:
exit_error("create_axons", "Unknown axonal delay model!");
break;
}
for (s=0; s<n->nFEff_E; s++) // nFEff_E = 0 for l = nLayers and n->type == INHIB
{
switch (mp->delayEfE)//(mp->axonDelay)
{
case UniformD:
delay = round(((gsl_rng_uniform(mSeed)*span)+mp->d_min)/mp->DT);
break;
case GaussD:
delay = round((mp->d_mean + gsl_ran_gaussian(mSeed,mp->d_sd))/mp->DT);
break;
case SOMD:
delay = 1;
break;
default:
break;
}
n->FEffs_E[s].delay = (delay<1) ? 1 : delay; //(!delay) ? 1 : delay;
n->FEffs_E[s].nBins = ceil((n->FEffs_E[s].delay*mp->DT)/mp->refract);
n->FEffs_E[s].queue = myalloc(n->FEffs_E[s].nBins * sizeof(tstep));
init_queue(&(n->FEffs_E[s]));
}
// ElE Delays
switch (mp->delayElE) //(mp->axonDelay)
{
case MinD:
delay = 1;
break;
case ConstD:
delay = round(mp->d_const/mp->DT);
delay = (!delay) ? 1 : delay;
break;
case UniformD:
span = mp->d_max - mp->d_min;
break;
case GaussD:
break;
case SOMD:
break;
default:
exit_error("create_axons", "Unknown axonal delay model!");
break;
}
for (s=0; s<n->nLEff_E; s++)
{
switch (mp->delayElE) //(mp->axonDelay)
{
case UniformD:
delay = round(((gsl_rng_uniform(mSeed)*span)+mp->d_min)/mp->DT);
break;
case GaussD:
delay = round((mp->d_mean + gsl_ran_gaussian(mSeed,mp->d_sd))/mp->DT);
break;
case SOMD: // Wire ElE connections with delays proportional to their Euclidean distances
if (n->type == EXCIT)
delay = round(readLowTriF(distE, n->l, n->n, n->lp0postsyn_E[s]->n) / ((float) mp->condSpeed * mp->DT));
else
delay = 1; // *** Need to add topology to Inhibitory neurons ***
//delay = round(distE[n->l][n->n][n->lp0postsyn_E[s]->n] / mp->condSpeed);
break;
default:
break;
}
n->LEffs_E[s].delay = (delay<1) ? 1 : delay;
n->LEffs_E[s].nBins = ceil((n->LEffs_E[s].delay*mp->DT)/mp->refract);
n->LEffs_E[s].queue = myalloc(n->LEffs_E[s].nBins * sizeof(tstep));
init_queue(&(n->LEffs_E[s]));
}
// EI Delays
switch (mp->delayEI) //(mp->axonDelay)
{
case MinD:
delay = 1;
break;
case ConstD:
delay = round(mp->d_const/mp->DT);
delay = (!delay) ? 1 : delay;
break;
case UniformD:
span = mp->d_max - mp->d_min;
break;
case GaussD:
break;
case SOMD:
break;
default:
exit_error("create_axons", "Unknown axonal delay model!");
break;
}
for (s=0; s<n->nLEff_I; s++)
{
switch (mp->delayEI) //(mp->axonDelay)
{
case UniformD:
delay = round(((gsl_rng_uniform(mSeed)*span)+mp->d_min)/mp->DT);
break;
case GaussD:
delay = round((mp->d_mean + gsl_ran_gaussian(mSeed,mp->d_sd))/mp->DT);
break;
case SOMD:
delay = 1;
break;
default:
break;
}
n->LEffs_I[s].delay = (delay<1) ? 1 : delay;
n->LEffs_I[s].nBins = ceil((n->LEffs_I[s].delay*mp->DT)/mp->refract);
n->LEffs_I[s].queue = myalloc(n->LEffs_I[s].nBins * sizeof(tstep));
init_queue(&(n->LEffs_I[s]));
}
}
else // Inhibitory Neuron -> {E,I} delays
{
for (s=0; s<n->nLEff_E; s++)
{
n->LEffs_E[s].delay = 1;
n->LEffs_E[s].nBins = 1;
n->LEffs_E[s].queue = myalloc(n->LEffs_E[s].nBins * sizeof(tstep));
init_queue(&(n->LEffs_E[s]));
}
for (s=0; s<n->nLEff_I; s++)
{
n->LEffs_I[s].delay = 1;
n->LEffs_I[s].nBins = 1;
n->LEffs_I[s].queue = myalloc(n->LEffs_I[s].nBins * sizeof(tstep));
init_queue(&(n->LEffs_I[s]));
}
}
return;
}
void initNetwork(SETSV resetBuffers)
{
int s, n, l;
/********** Training and Testing **********/
// Executed for all types of initialization (except Settle where shown)
#pragma omp parallel default(shared) private(l,n,s)//,seed)
{
/* Membrane potentials, conductances, learning parameters and spike time arrays */
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait
for (n=0; n<mp->vExcit[l]; n++)
{
if (mp->noise) // mp->VrestE + gsl_ran_gaussian(mSeed, mp->SigmaE) old noise model
{
#ifdef _OPENMP
n_E[l][n].V = n_E[l][n].V_tm1 = (gsl_rng_uniform(states[omp_get_thread_num()]) * fabs(mp->VhyperE - mp->ThreshE)) + mp->VhyperE;
//seed = states[omp_get_thread_num()];
#else
n_E[l][n].V = n_E[l][n].V_tm1 = (gsl_rng_uniform(mSeed) * fabs(mp->VhyperE - mp->ThreshE)) + mp->VhyperE;
//seed = mSeed;
#endif
//n_E[l][n].V = n_E[l][n].V_tm1 = (gsl_rng_uniform(seed) * fabs(mp->VhyperE - mp->ThreshE)) + mp->VhyperE;
}
else
n_E[l][n].V = n_E[l][n].V_tm1 = mp->VrestE;
if (mp->adaptation)
n_E[l][n].cCa = n_E[l][n].cCa_tm1 = 0.0;
n_E[l][n].D = n_E[l][n].D_tm1 = 0.0;
for (s=0; s<n_E[l][n].nFEff_E; s++) // nFEff_E should be 0 for the last layer
{
n_E[l][n].FEffs_E[s].C = n_E[l][n].FEffs_E[s].C_tm1 = 0.0;
n_E[l][n].FEffs_E[s].g = n_E[l][n].FEffs_E[s].g_tm1 = 0.0; // Randomly initialise conductances?
init_queue(&(n_E[l][n].FEffs_E[s]));
}
for (s=0; s<n_E[l][n].nLEff_E; s++)
{
n_E[l][n].LEffs_E[s].C = n_E[l][n].LEffs_E[s].C_tm1 = 0.0;
n_E[l][n].LEffs_E[s].g = n_E[l][n].LEffs_E[s].g_tm1 = 0.0;
init_queue(&(n_E[l][n].LEffs_E[s]));
}
for (s=0; s<n_E[l][n].nLEff_I; s++)
{
n_E[l][n].LEffs_I[s].g = n_E[l][n].LEffs_I[s].g_tm1 = 0.0;
init_queue(&(n_E[l][n].LEffs_I[s]));
}
n_E[l][n].lastSpike = -BIG;
n_E[l][n].nextUpdate = -BIG;
if (resetBuffers == Hard) // Reinitialize spike buffers between epochs and phases
{
n_E[l][n].spkbin = 0;
//bins = (mp->useFilteredImages && l==0) ? mp->inpSpkBuff : mp->spkBuffer;
#ifndef __llvm__ // The new LLVM-GCC compiler has a problem with this memset
memset(n_E[l][n].spikeTimes, 0, mp->spkBuffer*sizeof(n_E[l][n].spikeTimes[0])); //[0]?
#endif
}
}
}
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait
for (n=0; n<mp->vInhib[l]; n++)
{
if (mp->noise)
{
#ifdef _OPENMP
n_I[l][n].V = n_I[l][n].V_tm1 = (gsl_rng_uniform(states[omp_get_thread_num()]) * fabs(mp->VhyperI - mp->ThreshI)) + mp->VhyperI;
#else
n_I[l][n].V = n_I[l][n].V_tm1 = (gsl_rng_uniform(mSeed) * fabs(mp->VhyperI - mp->ThreshI)) + mp->VhyperI;
#endif
}
else
n_I[l][n].V = n_I[l][n].V_tm1 = mp->VrestI;
for (s=0; s<n_I[l][n].nLEff_E; s++)
{
n_I[l][n].LEffs_E[s].g = n_I[l][n].LEffs_E[s].g_tm1 = 0.0;
init_queue(&(n_I[l][n].LEffs_E[s]));
}
for (s=0; s<n_I[l][n].nLEff_I; s++)
{
n_I[l][n].LEffs_I[s].g = n_I[l][n].LEffs_I[s].g_tm1 = 0.0;
init_queue(&(n_I[l][n].LEffs_I[s]));
}
n_I[l][n].lastSpike = -BIG;
n_I[l][n].nextUpdate = -BIG;
if (resetBuffers == Hard) //(regime != Settle)
{
n_I[l][n].spkbin = 0;
#ifndef __llvm__ //&& #ifdef __GNUC__
memset(n_I[l][n].spikeTimes, 0, mp->spkBuffer*sizeof(n_I[l][n].spikeTimes[0]));
#endif
}
}
}
} // End of parallel region
return;
}
void setRecords(PARAMS * mp, NEURON ** n_E, gsl_rng * mSeed) // if (mp->nRecords)
{
int l, n, r;
int * choices = NULL;
int * chosen = NULL;
// Print Records file
char rString[BUFSIZ];
int slen = 0;
FILE * rFile = myfopen("records.m", "w");
fprintf(rFile, "MP.Records = cell(1,MP.nLayers);\n");
/* Set up recording bins */
printf("\n");
for (l=0; l<mp->nLayers; l++)
{
assert((0 <= mp->vRecords[l]) && (mp->vRecords[l] <= mp->vExcit[l]));
chosen = myalloc(mp->vRecords[l] * sizeof(*chosen));
choices = myalloc(mp->vExcit[l] * sizeof(*choices));
for (n=0; n<mp->vExcit[l]; n++)
choices[n] = n;
gsl_ran_choose(mSeed, chosen, mp->vRecords[l], choices, mp->vExcit[l], sizeof(*choices));
for (r=0; r<mp->vRecords[l]; r++) // Randomly set NRECORDS flags
{
n_E[l][chosen[r]].rec_flag = true;
printf("\t\tLayer #%d, Record %d Assigned nID: #%d\n",l,r+1,chosen[r]);
}
slen = snprintf(rString, BUFSIZ, "MP.Records{%d}", l+1);
assert(slen < BUFSIZ);
//for (r=0; r<mp->vRecords[l]; r++)
// chosen[r] += 1; // Make matlab friendly to match layer indexing?
printIntArray(rFile, rString, chosen, mp->vRecords[l]);
myfree(chosen);
myfree(choices);
}
fclose(rFile); // Close Records file
/* Create recording structures - (mp->RecordMS+1) so that initial conditions are recorded */
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
if (n_E[l][n].rec_flag) // Could move inside flag loop above
{
n_E[l][n].rec = myalloc(sizeof(RECORD));
n_E[l][n].rec->cellcCa = NULL;
n_E[l][n].rec->cellD = NULL;
n_E[l][n].rec->LsigGI = NULL;
n_E[l][n].rec->FSynDG = NULL;
n_E[l][n].rec->FSynC = NULL;
n_E[l][n].rec->LSynDG = NULL;
n_E[l][n].rec->LSynC = NULL;
n_E[l][n].rec->bin = 0;
n_E[l][n].rec->cellV = myalloc((mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->cellV)));
memset(n_E[l][n].rec->cellV, 0, (mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->cellV)));
if (mp->adaptation)
{
n_E[l][n].rec->cellcCa = myalloc((mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->cellcCa)));
memset(n_E[l][n].rec->cellcCa, 0, (mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->cellcCa)));
}
if (n_E[l][n].nLAff_I)
{
n_E[l][n].rec->LsigGI = myalloc((mp->RecordMS+1)*sizeof(*(n_E[l][n].rec->LsigGI)));
memset(n_E[l][n].rec->LsigGI, 0, (mp->RecordMS+1)*sizeof(*(n_E[l][n].rec->LsigGI)));
}
if (n_E[l][n].nFAff_E) //(l>0) // Here the synaptic variables are stored with the post-synaptic neuron
n_E[l][n].rec->FSynG = get_2D_farray(n_E[l][n].nFAff_E, (mp->RecordMS+1), 0.0);
if (n_E[l][n].nLAff_E) //(mp->pCnxElE[l]>EPS)
n_E[l][n].rec->LSynG = get_2D_farray(n_E[l][n].nLAff_E, (mp->RecordMS+1), 0.0);
if (mp->train)
{
n_E[l][n].rec->cellD = myalloc((mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->cellD)));
memset(n_E[l][n].rec->cellD, 0, (mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->cellD)));
if (n_E[l][n].nFAff_E) //(l>0)
{
n_E[l][n].rec->FSynDG = get_2D_farray(n_E[l][n].nFAff_E, (mp->RecordMS+1), 0.0);
n_E[l][n].rec->FSynC = get_2D_farray(n_E[l][n].nFAff_E, (mp->RecordMS+1), 0.0);
}
if (mp->trainElE && n_E[l][n].nLAff_E) // Create ElE records //(mp->pCnxElE[l]>EPS))//mp->train)
{
n_E[l][n].rec->LSynDG = get_2D_farray(n_E[l][n].nLAff_E, (mp->RecordMS+1), 0.0);
n_E[l][n].rec->LSynC = get_2D_farray(n_E[l][n].nLAff_E, (mp->RecordMS+1), 0.0);
}
}
}
return;
}
/*int resetRecords() // Reinitialise Records
{
if (mp->nRecords) // Should be training //sPhase==Testing &&
{
if (sPhase == Training)
{
slen = snprintf(prefix, FNAMEBUFF, "RE%d", loop);
assert(slen && slen < FNAMEBUFF); // Check non-negative
}
for (l=0; l<mp->nLayers; l++)
{
for (n=0; n<mp->vExcit[l]; n++)
{
if (n_E[l][n].rec_flag)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dV.dat", prefix, l, n); // Change
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w"); //r_cellV_ptr = fopen(filename, "wb");
print_frow(recFile, n_E[l][n].rec->cellV, n_E[l][n].rec->bin); // bin already points to the next free slot
// print_farray(rCellVout, n_E[l][n].rec->cellV, mp->loops, mp->RecordMS); //fwrite(n_E[l][n].rec->cellV, sizeof(float), mp->loops*mp->RecordMS, r_cellV_ptr); // See nifty trick #1
fclose(recFile);
memset(n_E[l][n].rec->cellV, 0, (mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->cellV)));
if (mp->adaptation)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dcCa.dat", prefix, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_frow(recFile, n_E[l][n].rec->cellcCa, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->cellcCa, 0, (mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->cellcCa)));
}
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dD.dat", prefix, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w"); //r_D_ptr = fopen(filename, "wb");
print_frow(recFile, n_E[l][n].rec->cellD, n_E[l][n].rec->bin); // (rDout, n_E[l][n].rec->cellD, mp->loops, mp->RecordMS);
fclose(recFile);
memset(n_E[l][n].rec->cellD, 0, (mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->cellD)));
if (l>0) // The presynaptic cell's values are attached to each record
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dFAffC.dat", prefix, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w"); //r_C_ptr = fopen(filename, "wb");
//for (loop=0; loop<mp->loops; loop++)
print_farray(recFile, n_E[l][n].rec->FSynC, n_E[l][n].nFAff_E, n_E[l][n].rec->bin); //print_farray(recFile, n_E[l][n].rec->SynC[loop], n_E[l][n].nFAff_E, mp->RecordMS);
fclose(recFile);
memset(n_E[l][n].rec->FSynC[0], 0, n_E[l][n].nFAff_E*(mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->FSynC)));
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dFAffg.dat", prefix, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
//for (loop=0; loop<mp->loops; loop++)
print_farray(recFile, n_E[l][n].rec->FSynG, n_E[l][n].nFAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->FSynG[0], 0, n_E[l][n].nFAff_E*(mp->RecordMS+1) * sizeof(**(n_E[l][n].rec->FSynG)));
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dFAffdg.dat", prefix, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
//for (loop=0; loop<mp->loops; loop++)
print_farray(recFile, n_E[l][n].rec->FSynDG, n_E[l][n].nFAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->FSynDG[0], 0, n_E[l][n].nFAff_E*(mp->RecordMS+1) * sizeof(**(n_E[l][n].rec->FSynDG)));
}
if (mp->trainElE && mp->train && mp->pCnxElE[l] > EPS)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dLAffC.dat", prefix, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_farray(recFile, n_E[l][n].rec->LSynC, n_E[l][n].nLAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->LSynC[0], 0, n_E[l][n].nLAff_E*(mp->RecordMS+1) * sizeof(**(n_E[l][n].rec->LSynC)));
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dLAffg.dat", prefix, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_farray(recFile, n_E[l][n].rec->LSynG, n_E[l][n].nLAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->LSynG[0], 0, n_E[l][n].nLAff_E*(mp->RecordMS+1) * sizeof(**(n_E[l][n].rec->LSynG)));
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dLAffdg.dat", prefix, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_farray(recFile, n_E[l][n].rec->LSynDG, n_E[l][n].nLAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->LSynDG[0], 0, n_E[l][n].nLAff_E*(mp->RecordMS+1) * sizeof(**(n_E[l][n].rec->LSynDG)));
}
n_E[l][n].rec->bin = 0; // Reset record counter ready for next phase/epoch
}
}
}
} // End of state variable records
}*/
void setWeights(PARAMS * mp, NEURON ** n_E, NEURON ** n_I, const char * suffix)
{
int l, n, s;
if (mp->loadWeights)
{
char * str, fname[FNAMEBUFF], buff[131072]; //128KB
char * delims = " \t";
int sLen=0, nSyn=0;
FILE * weightsFP = NULL;
//const char * suffix = ""; // Check for passed filename or archive file???
for (l=0; l<mp->nLayers; l++)
{
if (l>0) // Load Feed-forward weights
{
sLen = snprintf(fname, FNAMEBUFF, "L%dweightsEfE%s.dat", l, suffix);
assert(sLen < FNAMEBUFF);
weightsFP = myfopen(fname, "r"); //Feed-forward weights
for (n=0; n<mp->vExcit[l]; n++)
{
if (!(str = fgets(buff, sizeof(buff), weightsFP)))
exit_error("loadWeights", "NULL string reading EfE weights");
nSyn = atoi(strtok(buff, delims)); // First number in each row is #presyn connections
assert(n_E[l][n].nFAff_E == nSyn);
for (s=0; s<nSyn && (str = strtok(NULL, delims))!=NULL; s++)
n_E[l][n].FAffs_E[s]->delta_g = n_E[l][n].FAffs_E[s]->delta_g_tm1 = atof(str);
}
fclose(weightsFP);
}
// Load Lateral weights
sLen = snprintf(fname, FNAMEBUFF, "L%dweightsElE%s.dat", l, suffix);
assert(sLen < FNAMEBUFF);
weightsFP = myfopen(fname, "r"); //Lateral weights
for (n=0; n<mp->vExcit[l]; n++)
{
if (!(str = fgets(buff, sizeof(buff), weightsFP)))
exit_error("loadWeights", "NULL string reading ElE weights");
nSyn = atoi(strtok(buff, delims)); // First number in each row is #presyn connections
assert(n_E[l][n].nLAff_E == nSyn);
for (s=0; s<nSyn && (str = strtok(NULL, delims))!=NULL; s++)
n_E[l][n].LAffs_E[s]->delta_g = n_E[l][n].LAffs_E[s]->delta_g_tm1 = atof(str);
}
fclose(weightsFP);
}
}
else // Set new weights
{
/* E_ Synaptic weights */
switch (mp->initEfE) {
/*case Zero:
for (l=0; l<mp->nWLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nFEff_E; s++)
n_E[l][n].FEffs_E[s].delta_g = n_E[l][n].FEffs_E[s].delta_g_tm1 = 0.0;
break;*/
case Constant:
for (l=0; l<mp->nWLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nFEff_E; s++)
n_E[l][n].FEffs_E[s].delta_g = n_E[l][n].FEffs_E[s].delta_g_tm1 = mp->iEfE; //mp->DgEfE;
break;
case Uniform:
for (l=0; l<mp->nWLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nFEff_E; s++)
n_E[l][n].FEffs_E[s].delta_g = n_E[l][n].FEffs_E[s].delta_g_tm1 = gsl_rng_uniform(mSeed);
break;
case Gaussian:
for (l=0; l<mp->nWLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nFEff_E; s++)
n_E[l][n].FEffs_E[s].delta_g = n_E[l][n].FEffs_E[s].delta_g_tm1 = gsl_ran_gaussian(mSeed, mp->SOMsigE); // Create seperate sigma?
break;
case SOM: // Convergent feed-forward connections
exit_error("setWeights", "Feed-forward convergent connections not yet implemented!");
//fprintf(stderr, "Warning: Feed-forward convergent connections not yet implemented!\n");
break;
default:
exit_error("setWeights", "Illegal EfE weight initialisation arguement!");
break;
}
float distance = 0.0;
float phiScale = 0.0;
switch (mp->initElE) {
/*case Zero:
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nLEff_E; s++)
n_E[l][n].LEffs_E[s].delta_g = n_E[l][n].LEffs_E[s].delta_g_tm1 = 0.0;
break;*/
case Constant: // mp->DgElE
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nLEff_E; s++)
n_E[l][n].LEffs_E[s].delta_g = n_E[l][n].LEffs_E[s].delta_g_tm1 = mp->iElE; //mp->DgElE;
break;
case Uniform: // mSeed
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nLEff_E; s++)
n_E[l][n].LEffs_E[s].delta_g = n_E[l][n].LEffs_E[s].delta_g_tm1 = gsl_rng_uniform(mSeed);
break;
case Gaussian: // mSeed, mp->SOMsigE
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nLEff_E; s++)
n_E[l][n].LEffs_E[s].delta_g = n_E[l][n].LEffs_E[s].delta_g_tm1 = gsl_ran_gaussian(mSeed, mp->SOMsigE); //states[th]
break;
case SOM: // distE, mp->DgElE, mp->SOMsigE
//phiScale = (mp->trainElE) ? mp->DgElE/(mp->SOMsigE*sqrt(2*M_PI)) : 1/(mp->SOMsigE*sqrt(2*M_PI));
phiScale = ((mp->trainElE) ? mp->DgElE : 1) / (mp->SOMsigE*sqrt(2*M_PI));
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nLEff_E; s++)
{
distance = readLowTriF(distE, l, n, n_E[l][n].lp0postsyn_E[s]->n); // distE[l][n][n_E[l][n].lp0postsyn_E[s]->n];
n_E[l][n].LEffs_E[s].delta_g = n_E[l][n].LEffs_E[s].delta_g_tm1 = phiScale * exp(-pow(distance,2)/(2*pow(mp->SOMsigE,2)));
}
break;
default:
exit_error("setWeights", "Illegal ElE weight initialisation arguement!");
break;
}
}
// Set remaining (non-plastic) weights
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vExcit[l]; n++)
for (s=0; s<n_E[l][n].nLEff_I; s++)
n_E[l][n].LEffs_I[s].delta_g = n_E[l][n].LEffs_I[s].delta_g_tm1 = mp->DgEI;
/* I_ Synaptic weights */
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vInhib[l]; n++)
for (s=0; s<n_I[l][n].nLEff_E; s++)
n_I[l][n].LEffs_E[s].delta_g = n_I[l][n].LEffs_E[s].delta_g_tm1 = mp->DgIE;
for (l=0; l<mp->nLayers; l++)
for (n=0; n<mp->vInhib[l]; n++)
for (s=0; s<n_I[l][n].nLEff_I; s++)
n_I[l][n].LEffs_I[s].delta_g = n_I[l][n].LEffs_I[s].delta_g_tm1 = mp->DgII;
}
int loadImages(STIMULI * stim, PARAMS * mp)
{
FILE * iList;
FILEPARTS * fp;
char * str, buff[BUFSIZ], filename[FNAMEBUFF]; //dir[DIRBUFF],
int sLen = 0;
int sc, or, ph;
int count = 0;
int nStimuli = 0;
int * sCount = &nStimuli;
int nTestStimuli = 0;
int nTransPS = 0;
int * tCount = &nTransPS;
int nTestTransPS = 0;
mp->newTestSet = stim->newTestSet = false;
float ******* array = stim->trnImages;
sLen = snprintf(filename, FNAMEBUFF, "%s/%s",mp->imgDir,mp->imgList);
assert(sLen < FNAMEBUFF);
iList = myfopen(filename, "r");
fp = myalloc(sizeof(FILEPARTS));
while ((str = fgets(buff, sizeof(buff), iList)) != NULL) /* Read next line */
{
if (str[0] == '\n' || str[0] == '#' || str[0] == '%') /* Skip blank lines and comments */
continue;
else if (str[0] == '*') // New set of object transforms
{
(*sCount)++;
*tCount = 0;
continue;
}
else if (str[0] == '+') // Seperate testing stimuli
{
mp->newTestSet = true;
stim->newTestSet = true;
sCount = &nTestStimuli;
tCount = &nTestTransPS;
*sCount = 0;
*tCount = 0;
stim->tstImages = get_7D_farray(mp->nTestStimuli, mp->nTestTransPS, mp->nScales, mp->nOrients, mp->nPhases, mp->nRows, mp->nCols, 0.0);
array = stim->tstImages; //[st][tr][sc][or][ph][0], mp->nRows*mp->nCols
continue;
}
else
{
trim(strtok(str,"%")); // Chop off comments and whitespace
getFileParts(str, fp); //getFileParts((char*)trim(strtok(str,"%")), fp);
}
for (sc=0; sc<mp->nScales; sc++)
for (or=0; or<mp->nOrients; or++)
for (ph=0; ph<mp->nPhases; ph++)
if (mp->gabor) // Use Gabor filter outputs
{
sLen = snprintf(filename, FNAMEBUFF, "%s/%s.flt/%s.%d.%d.%d.gbo", fp->path, fp->fname, fp->fname, \
mp->vScales[sc], mp->vOrients[or], mp->vPhases[ph]);
assert(sLen < FNAMEBUFF);
count += loadGaborOutput(filename, array[*sCount-1][*tCount][sc][or][ph][0], mp->nRows*mp->nCols);
//print_farray(stderr, array[*sCount-1][*tCount][sc][or][ph], mp->nRows, mp->nCols);
}
else // Use output from Roger Watt's filtering software
{
sLen = snprintf(filename, FNAMEBUFF, "%s/%s.%s.filtered/%s.%s.%d.%d.%c", fp->path, fp->fname, fp->fext, fp->fname, fp->fext, \
mp->vScales[sc], mp->vOrients[or], (mp->vPhases[ph])?'p':'n');
assert(sLen < FNAMEBUFF);
count += loadDoGoutput(filename, array[*sCount-1][*tCount][sc][or][ph][0], mp->nRows*mp->nCols);
}
if (count == mp->nScales*mp->nOrients*mp->nPhases)
{
(*tCount)++;
count = 0;
}
else
exit_error("loadImages", "Wrong number of filters");
}
assert(mp->nStimuli == nStimuli);
assert(mp->nTransPS == nTransPS);
if (stim->newTestSet)
{ // Test stimuli parameters must be read in from image parameter file
assert(mp->nTestStimuli == nTestStimuli);
assert(mp->nTestTransPS == nTestTransPS);
}
myfree(fp);
fclose(iList);
return 0;
}
int loadDoGoutput(const char * filename, float * array, int size)
{
FILE * dgo;
int e = 0;
int err = 0;
uchar * buff = myalloc(sizeof(uchar) * size);
dgo = myfopen(filename, "r");
fread(array, sizeof(uchar), size, dgo);
assert(feof(dgo));
err = fclose(dgo);
for (e=0; e<size; e++)
array[e] = mp->current + ((2.0 * buff[e] / 255.0) - 1.0) * mp->currentSpread; // Convert uchars [0,255] to floats
// Scale for current injected too
return (err) ? 0 : 1;
/*if (!err)
return 1;
else
return 0;*/
}
int loadGaborOutput(const char * filename, float * array, int size)
{
FILE * gbo;
int e = 0;
int err = 0;
gbo = myfopen(filename, "r");
fread(array, sizeof(float), size, gbo);
//assert(feof(gbo));
err = fclose(gbo);
for (e=0; e<size; e++) // Scale for current injected too
{
//assert(-1 <= array[e] && array[e] <= 1);
array[e] = (array[e] * mp->currentSpread) + mp->current;
if (array[e] < 0) // Check that negative currents are not injected
array[e] = 0;
}
return (err) ? 0 : 1;
}
int loadGroups(STIMULI * stim, PARAMS * mp, char * filename)
{
char * str, buff[32768]; //32KB//BUFSIZ, filename[FNAMEBUFF];
char dummy[BUFSIZ]; // Can the character be disgarded without a dummy variable? See *
//char * filename = "groupStimuli.dat";
int n=0, g=0, count=0;
//int nGroups = 0;
//int * gCount = &nGroups;
//int nTestGroups = 0;
int nStimuli = 0, nTransPS = 0;
int * sCount = &nStimuli;
int * tCount = &nTransPS;
int nTestStimuli = 0, nTestTransPS = 0;
float *** array = NULL;
char * delims = "^ \t";
mp->nGroups = 0;
stim->newTestSet = false; //bool newTestSet = false;
FILE * sList = myfopen(filename, "r");
// Load nGroups/nStimuli/nTransPS/sInputs from first line as a check?
while ((str = fgets(buff, sizeof(buff), sList)) != NULL) /* Read next line */
{
if (str[0] == '\n' || str[0] == '#' || str[0] == '%') /* Skip blank lines and comments */
continue;
else if (str[0] == '@') // Metadata
{
if ((count = sscanf(str, "%c %d:%d:%d", dummy,&mp->nGroups,&nStimuli,&nTransPS)) != 4)
exit_error("loadGroups", "Invalid file format");
#if DEBUG > 2
printf("\n%s Metadata: nGroups=%d; nStimuli=%d; nTransPS=%d;\n",filename,mp->nGroups,nStimuli,nTransPS); fflush(stdout);
#endif
stim->nStim = nStimuli; //nStimuliPG * mp->nGroups; // Reconsider ************************
stim->nTrans = nTransPS;
nStimuli = 0;
nTransPS = 0;
/*if (stim->nStim == 0)
{
stim->nStim = nStimuliPG * mp->nGroups;
stim->nTrans = nTransPS;
}
else
{
assert(nStimuliPG * mp->nGroups == mp->nStimuli); //mp->nStimuli *= mp->nGroups;
assert(nTransPS == mp->nTransPS);
//nStimuliPG = 0;
//nTransPS = 0;
}*/
stim->trn_stimuli = get_3D_farray(stim->nStim, stim->nTrans, mp->sInputs, 0.0);
array = stim->trn_stimuli;
stim->groups = (int **) array2d(mp->nGroups, mp->sInputs, sizeof(**(stim->groups))); // For labelling neurons //(bool **) //(mp->nTransPS>1)?mp->nCols:mp->sInputs
}
else if (str[0] == '^') // Prototype
{
str = strtok(buff, delims);
for (n=0; n<mp->sInputs; n++) //((mp->nTransPS>1)?mp->nCols:mp->sInputs)
{
stim->groups[g][n] = atoi(str);
str = strtok(NULL, delims);
}
assert(g < mp->nGroups);
#if DEBUG > 3
printf("P%d:\t",g);
print_irow(stdout, stim->groups[g], mp->sInputs);
#endif
g++; //mp->nGroups++;
continue;
}
/*else if (str[0] == '^') // New group
{
(*gCount)++;
//if (*gCount > 0 && sCount != mp->nStimuli) // error
*sCount = 0;
*tCount = 0;
continue;
}*/
else if (str[0] == '*') // New stimulus (set of object transforms)
{
if (*sCount > 0 && *tCount != ((stim->newTestSet) ? stim->nTestTrans : stim->nTrans))
exit_error("loadGroups", "Wrong number of transforms in header");
(*sCount)++;
*tCount = 0;
continue;
}
else if (str[0] == '+') // Seperate testing stimuli
{
if (*sCount != stim->nStim) // Check # Training stimuli
exit_error("loadGroups", "Wrong number of stimuli in header");
stim->newTestSet = true;
//mp->newTestSet = true; // Present a novel stimulus from each simultaneously
// Scan for nTestStimuli and nTestTrans
if ((count = sscanf(str, "%c %d:%d", dummy,&nTestStimuli,&nTestTransPS)) != 3)
exit_error("loadGroups", "Invalid file format (testing)");
/*assert(*sCount == mp->nTestStimuli);
assert(*tCount == mp->nTestTransPS);
stim->tst_stimuli = get_3D_farray(mp->nTestStimuli, mp->nTestTransPS, mp->sInputs, 0.0);*/
stim->nTestStim = nTestStimuli;
stim->nTestTrans = nTestTransPS;
stim->tst_stimuli = get_3D_farray(stim->nTestStim, stim->nTestTrans, mp->sInputs, 0.0);
// Reset counters and populate Testing stimuli array
array = stim->tst_stimuli;
//gCount = &nTestGroups;
sCount = &nTestStimuli;
tCount = &nTestTransPS;
*sCount = 0;
*tCount = 0;
continue;
}
else // Load the transform into stimulus array
{
(*tCount)++;
//count=0;
// ASCII
str = strtok(buff, delims);
for (n=0; n<mp->sInputs; n++)
{
/*//if (!str)
// break;
//fprintf(stderr,"n=%d; %s;\n", n,str);
//fprintf(stderr,"n=%d; str=%s;\tgCount=%d; sCount=%d; tCount=%d;\n",n,str,*gCount,*sCount,*tCount); fflush(stderr);
//stim->trnGrpStim[*gCount-1][*sCount-1][*tCount-1][n] *= atof(str) * mp->current;
//count += sscanf(str, "%f", &stim->trnGrpStim[*gCount-1][*sCount-1][*tCount-1][n]);
//stim->trnGrpStim[*gCount-1][*sCount-1][*tCount-1][n] *= mp->current;*/
array[*sCount-1][*tCount-1][n] = atof(str) * mp->current;
str = strtok(NULL, delims); // Tokenise the string to get the next value
}
/*if (count != mp->sInputs)
exit_error("loadGroups", "Wrong size inputs");*/
/* Binary
//loadStimuli(filename, stim->trnGrpStim[*gCount-1][*sCount][*tCount], mp->sInputs);
//fread(stim->trnGrpStim[g][s][t][0], sizeof(float), mp->sInputs, sList);*/
#if DEBUG > 3
printf("%sS%dT%d:\t",(stim->newTestSet)?"Test\t":"",*sCount-1,*tCount-1);
print_frow(stdout, array[*sCount-1][*tCount-1], mp->sInputs);
#endif
continue;
}
}
fclose(sList);
if (g != mp->nGroups)
exit_error("loadGroups", "Inconsistent numbers of groups");
if (!stim->newTestSet)
{
stim->nTestStim = stim->nStim;
stim->nTestTrans = stim->nTrans;
}
/*if (*sCount * mp->nGroups != mp->nStimuli)
exit_error("loadGroups", "Wrong number of stimuli in header");
*sCount = 0;
if (*tCount != mp->nTransPS)
exit_error("loadGroups", "Wrong number of transforms in header");
*tCount = 0;*/
return 0;
}
/*int loadStimuli(const char * filename, float * array, int size)
{
FILE * stim;
int e=0;
bool err;
if (file_exists("stimuli.tbz"))
system("tar -xvf stimuli.tbz");
stim = myfopen(filename, "rb");
fread(array, sizeof(float), size, stim);
for (e=0; e<size; e++)
array[e] = array[e] * mp->current;
err = fclose(stim);
return (err) ? 0 : 1;
}*/
void genGroups(STIMULI * stim, PARAMS * mp)
{
// Generate stimuli from prototypes rather than load from files (generate new stimuli with each seed)
int g=0, s=0, n=0;
// Reconsider sInputs (nCols) and nFiringNeurons (nSP)
// Consider translating stimuli and PP stimuli
// Error checking to see that constraints are satisfiable
assert(mp->sInputs >= mp->nBG + (mp->nGroups * mp->nWG));
// Allocate stimulus arrays and set parameters in stim structure
stim->trn_stimuli = get_3D_farray(mp->nStimuli, mp->nTransPS, mp->sInputs, 0.0);
stim->tst_stimuli = get_3D_farray(mp->nTestStimuli, mp->nTestTransPS, mp->sInputs, 0.0);
stim->nStim = mp->nStimuli;
stim->nTrans = mp->nTransPS;
stim->nTestStim = mp->nTestStimuli;
stim->nTestTrans = mp->nTestTransPS;
stim->newTestSet = true;
// Create prototypes
// mp->layDim[0].nCols or mp->sInputs if not translating
stim->groups = (int **) array2d(mp->nGroups, mp->sInputs, sizeof(**(stim->groups))); // change to bool
int * bag = myalloc(mp->sInputs * sizeof(*bag)); // Zeroed in function
for (n=0; n<mp->sInputs; n++)
bag[n] = n;
gsl_ran_shuffle(mSeed, bag, mp->sInputs, sizeof(*bag));
int nGPool = mp->nBG + mp->nWG; // Group pool size
assert(mp->nFiringNeurons <= nGPool);
int ** gPools = (int **) array2d(mp->nGroups, nGPool, sizeof(**gPools));
// Set common elements for all prototypes (nBG)
for (n=0; n<mp->nBG; n++) // Skipped if nBG==0
for (g=0; g<mp->nGroups; g++)
{
stim->groups[g][bag[n]] = 1;
gPools[g][n] = bag[n];
}
int bStart = mp->nBG; //==n // Bag offset to prevent reuse of assigned neurons
// Set the remaining group specific elements for each group (nWG)
for (g=0; g<mp->nGroups; g++)
{
for (n=0; n<mp->nWG; n++)
{
stim->groups[g][bag[n+bStart]] = 1;
gPools[g][n+bStart] = bag[n+bStart];
}
bStart += mp->nWG; // Update the bag offset
}
myfree(bag);
// Generate individual training exemplars
int nStimPG = mp->nStimuli / mp->nGroups;
assert(mp->nStimuli % mp->nGroups == 0); //assert(nStimPG * mp->nGroups == mp->nStimuli);
//int * exemplar = myalloc(mp->nFiringNeurons * sizeof(*exemplar));
for (g=0; g<mp->nGroups; g++)
for (s=0; s<nStimPG; s++)
{
gsl_ran_shuffle(mSeed, gPools[g], nGPool, sizeof(**gPools));
for (n=0; n<mp->nFiringNeurons; n++)
stim->trn_stimuli[s][0][gPools[g][n]] = mp->current;
//gsl_ran_choose(mSeed, exemplar, mp->nFiringNeurons, gPools[g], nGPool, sizeof(*exemplar));
//for (n=0; n<mp->nFiringNeurons; n++)
// stim->trn_stimuli[s][0][exemplar[n]] = mp->current;
}
// Present all groups simultaneously in novel test stimuli
//int * shuffle = myalloc(nGPool * sizeof(*shuffle));
//for (n=0; n<nGPool; n++)
// shuffle[n] = n;
for (s=0; s<mp->nTestStimuli; s++)
{
for (g=0; g<mp->nGroups; g++)
{
gsl_ran_shuffle(mSeed, gPools[g], nGPool, sizeof(**gPools));
for (n=0; n<mp->nFiringNeurons; n++)
stim->tst_stimuli[s][0][gPools[g][n]] = mp->current;
//gsl_ran_shuffle(mSeed, shuffle, nGPool, sizeof(*shuffle));
//stim->tst_stimuli[s][0][gPools[g][shuffle[n]]] = mp->current;
}
}
myfree(gPools);
//myfree(shuffle);
//myfree(exemplar);
}
void printGroups(STIMULI * stim, PARAMS * mp, const char * filename) // Merge with printStimuli
{
FILE * stimFP = NULL;
int g=0, s=0, n=0, spg=0;
if (mp->priorPhases) // Move outside?
{
}
stimFP = myfopen(filename, "w");
fprintf(stimFP, "@ %d:%d:%d\n", mp->nGroups, stim->nStim, stim->nTrans); // Print Metadata
for (g=0; g<mp->nGroups; g++)
{
fprintf(stimFP, "^\t"); // Print Prototypes
for (n=0; n<mp->sInputs; n++) // Change to printIrow()
fprintf(stimFP, "%d ", stim->groups[g][n]);
fprintf(stimFP, "\n");
}
int nStimPG = stim->nStim / mp->nGroups;
for (s=0, g=0; g<mp->nGroups; g++)
{
for (spg=0; spg<nStimPG; spg++)
{
fprintf(stimFP, "* Stimulus %d (g#%d,s#%d)\n", ++s, g, spg);
if (stim->nTrans > 1)
{
}
else
{
fprintf(stimFP, "\t");
for (n=0; n<mp->sInputs; n++) // Change to printIrow()
fprintf(stimFP, "%d ", stim->trn_stimuli[s][0][n]?1:0); //%1.0f with ceil()
fprintf(stimFP, "\n");
}
}
}
if (stim->newTestSet)
{
fprintf(stimFP, "+ %d:%d Testing Set\n", stim->nTestStim, stim->nTestTrans);
for (s=0; s<stim->nTestStim; s++)
{
fprintf(stimFP,"* Test Stimulus %d\n", s+1);
if (stim->nTestTrans > 1)
{
}
else
{
fprintf(stimFP, "\t");
for (n=0; n<mp->sInputs; n++) // Change to printIrow()
fprintf(stimFP, "%d ", stim->tst_stimuli[s][0][n]?1:0);
fprintf(stimFP, "\n");
}
}
}
fclose(stimFP);
// Print prototypes for neuron labelling
stimFP = myfopen("prototypes.stm", "w");
print_iarray(stimFP, stim->groups, mp->nGroups, mp->sInputs);
fclose(stimFP);
}
void gen_stimuli(bool rep, STIMULI * stim, PARAMS * mp)
{
// Assumes 1D inputs
// Place array arguements in a patterns structure
int trans, n, p, block=0, slen=0;
int * choices = NULL;
int * chosen = NULL;
char stimStr[BUFSIZ];
/* Generate the training stimuli to present to the network */
// Patterns could be generated in Matlab and loaded from dat files... or read in list of pairs from another array
stim->tst_stimuli = get_3D_farray(mp->nTestStimuli, mp->nTestTransPS, mp->sInputs, 0.0);
// Generate test stimuli
switch (rep)
{
case 0: /* Distributed Patterns */ // *** Use prototypes?
trans=0;
choices = myalloc(mp->sInputs * sizeof(*choices));
for (n=0; n<mp->sInputs; n++)
choices[n] = n;
chosen = myalloc(mp->nFiringNeurons * sizeof(*chosen));
for (p=0; p<mp->nTestStimuli; p++)
{
gsl_ran_choose(mSeed, chosen, mp->nFiringNeurons, choices, mp->sInputs, sizeof(*choices));
for (n=0; n<mp->nFiringNeurons; n++)
stim->tst_stimuli[p][trans][chosen[n]] = mp->current;
}
myfree(choices);
myfree(chosen);
break;
case 1: /* Local Patterns */
block = floor(mp->nFiringNeurons + ((mp->nTransPS - 1) * mp->shift));
// This assumes stimuli are a contiguous block of 1's
for (p=0; p<mp->nTestStimuli; p++)
for (trans=0; trans<mp->nTransPS; trans++)
for (n=(p*block)+(trans*mp->shift); n<(mp->nFiringNeurons+(p*block)+(trans*mp->shift)); n++)
stim->tst_stimuli[p][trans][n] = mp->current;
break;
/* ***111111111222222222222333333333333
111***111111222222222222333333333333
...
------------***222222222------------
------------222***222222------------
...
------------------------333333333***
*/ // Extend this to 2D - cf MSc code
}
// Generate training stimuli
if (mp->K > 1) // Present multiple stimuli simultaneously
{
assert(mp->K <= mp->nTestStimuli);
if (mp->K == mp->nTestStimuli) // mp->nStimuli = 1
assert(mp->M == 1);
/*// Alternative combination generator routine...
// Currently set so that M <= gsl_sf_choose(mp->nTestStimuli-1, mp->K-1)
int nCombs = gsl_sf_choose(mp->nTestStimuli, mp->K);
assert(mp->M <= nCombs);
// Generate all combinations in an nComb by K array
// ...
// Select M at random
for (p=0; p<mp->M; p++)
{
// Sample from 0 to M-1 without replacement
// Copy K test patterns into current training pattern
for (k=0; k<mp->K; k++)
{
combs[r,k]
}
}
// End of alternative routine*/
if (mp->K == mp->nTestStimuli)
{ // This is a hack which results in less training than when K<nTestStimuli
int c=0;
//assert(mp->M == 1);
mp->nStimuli = 1;
stim->trn_stimuli = get_3D_farray(mp->nStimuli, mp->nTransPS, mp->sInputs, 0.0);
/*memcpy(stim->trn_stimuli[0][0], stim->tst_stimuli[0][0], mp->nTestTransPS*mp->sInputs*sizeof(stim->tst_stimuli[0][0][0]));
for (c=0; c<mp->K-1; c++)
for (trans=0; trans<mp->nTestTransPS; trans++) // memcpy pth test stimulus ? - does not work for dist. stim
for (n=0; n<mp->sInputs; n++)
stim->trn_stimuli[0][trans][n] = (stim->tst_stimuli[c][trans][n]) ? mp->current : stim->trn_stimuli[0][trans][n];*/
for (c=0; c<mp->K; c++)
for (trans=0; trans<mp->nTestTransPS; trans++) // memcpy pth test stimulus ? - does not work for dist. stim
for (n=0; n<mp->sInputs; n++)
stim->trn_stimuli[0][trans][n] = (stim->tst_stimuli[c][trans][n]) ? mp->current : stim->trn_stimuli[0][trans][n];
}
else //...
{
/*if (abs(mp->nStimuli - mp->K)==1) // || mp->K == 1
{
mp->nStimuli = mp->nTestStimuli
}
else
// Calculate nCombs and select a subset according to mp->M
*/
stim->trn_stimuli = get_3D_farray(mp->nStimuli, mp->nTransPS, mp->sInputs, 0.0); // rethink nStimuli for limited training...
choices = myalloc((mp->nTestStimuli-1) * sizeof(*choices));
chosen = myalloc((mp->K-1) * sizeof(*chosen));
int ind=0, c=0, m=0, q=0;
fprintf(stdout, "\n");
for (p=0; p<mp->nTestStimuli; p++)
{
for (c=0, ind=0; c<mp->nTestStimuli-1; c++, ind++)
choices[c] = (c==p) ? ++ind : ind;
for (m=0; m<mp->M; m++) // This method could have duplicate combinations
{
gsl_ran_choose(mSeed, chosen, mp->K-1, choices, mp->nTestStimuli-1, sizeof(*choices));
slen = snprintf(stimStr, BUFSIZ, "\tTraining stimulus %d (inc. %d)", p, p);
assert(slen < BUFSIZ);
printIntArray(stdout, stimStr, chosen, mp->K-1);
q = (p * mp->M) + m;
memcpy(stim->trn_stimuli[q][0], stim->tst_stimuli[p][0], mp->nTestTransPS*mp->sInputs*sizeof(stim->tst_stimuli[p][0][0]));
for (c=0; c<mp->K-1; c++)
for (trans=0; trans<mp->nTestTransPS; trans++) // memcpy pth test stimulus ? - does not work for dist. stim
for (n=0; n<mp->sInputs; n++)
stim->trn_stimuli[q][trans][n] = (stim->tst_stimuli[chosen[c]][trans][n]) ? mp->current : stim->trn_stimuli[q][trans][n];
}
}
myfree(choices);
myfree(chosen);
}
stim->nStim = mp->nStimuli;
stim->nTrans = mp->nTransPS;
stim->nTestStim = mp->nTestStimuli;
stim->nTestTrans = mp->nTestTransPS;
}
else // Training stimuli presented individually
{
stim->trn_stimuli = stim->tst_stimuli;
stim->nStim = stim->nTestStim = mp->nTestStimuli;
stim->nTrans = stim->nTestTrans = mp->nTestTransPS;
}
stim->newTestSet = mp->newTestSet;
// Generate all ways of choosing K from N:
// http://phoxis.org/2009/10/13/allcombgen/
// http://compprog.wordpress.com/2007/10/17/generating-combinations-1/
// http://www.cs.utexas.edu/users/djimenez/utsa/cs3343/lecture25.html
// Select M of those ways
/*if (mp->M) // Generalise to pair with K partner stimuli
{
assert(mp->K <= mp->nTestStimuli);
assert(mp->M < mp->nTestStimuli);
stim->trn_stimuli = get_3D_farray(mp->nStimuli, mp->nTransPS, mp->sInputs, 0.0);
// Keep track of combinations otherwise there will be duplicate training patterns (violating calculated nTestStimuli above)
choices = myalloc(mp->nTestStimuli-1 * sizeof(*choices));
chosen = myalloc(mp->M * sizeof(*chosen));
int c = 0;
int ind = 0;
for (p=0; p<mp->nTestStimuli; p++)
{
ind = 0;
for (c=0; c<mp->nTestStimuli-1; c++)
{
if (c == p)
ind++;
choices[c] = ind++;
}
gsl_ran_choose(mSeed, chosen, (mp->M>mp->nTestStimuli-1)?mp->nTestStimuli-1:mp->M, choices, mp->nTestStimuli-1, sizeof(*choices)); // Choose M (up to N-1) from N
gsl_ran_shuffle(mSeed, chosen, (mp->M>mp->nTestStimuli-1)?mp->nTestStimuli-1:mp->M, sizeof(*chosen)); // Permute partners
for (c=0; c<mp->M; c++)
for (trans=0; trans<mp->nTestTransPS; trans++)
for (n=0; n<mp->sInputs; n++) // Redo for K stimuli below
stim->trn_stimuli[p][trans][n] = (stim->tst_stimuli[chosen[c]][trans][n] || stim->tst_stimuli[p][trans][n]) ? mp->current : 0.0;
}
myfree(choices);
myfree(chosen);
}
else
{
stim->trn_stimuli = stim->tst_stimuli;
}
/////*/
#if DEBUG>3 // Level 4
fprintf(stderr, "\nPrinting generated training stimuli...\n");
for (p=0; p<mp->nStimuli; p++)
for (trans=0; trans<mp->nTransPS; trans++)
{
fprintf(stderr, "S%dT%d: ",p+1,trans+1);
print_frow(stderr, stim->trn_stimuli[p][trans], mp->sInputs);
}
#endif
/*** Testing stimuli ***/
// Modify to generate single stimuli test patterns when there are multi-stimulus training patterns
//memcpy(*tst_stimuli, *trn_stimuli, sizeof(*tst_stimuli));
return; // void;
}
void printStimuli(STIMULI * stim, PARAMS * mp, const char * prefix)
{
FILE * stFP = NULL;
int p=0;
char stimFile[FNAMEBUFF];
int slen=0;
/* // Old dat files now superceeded by .m files
slen = snprintf(stimFile, FNAMEBUFF, "%strn_stimuli.dat", prefix);
assert(slen < FNAMEBUFF);
stFP = myfopen(stimFile, "w");
for (p=0; p<stim->nStim; p++)
{
fprintf(stFP, "*** Stimulus #%d (%d/%d) ***\n", p, p+1, stim->nStim);
print_farray(stFP, (stim->trn_stimuli)[p], stim->nTrans, mp->sInputs);
fprintf(stFP, "\n");
}
fclose(stFP);
if (stim->newTestSet)
{
slen = snprintf(stimFile, FNAMEBUFF, "%stst_stimuli.dat", prefix);
assert(slen < FNAMEBUFF);
stFP = myfopen(stimFile, "w");
for (p=0; p<stim->nTestStim; p++)
{
fprintf(stFP, "*** Stimulus #%d (%d/%d) ***\n", p, p+1, stim->nTestStim);
print_farray(stFP, (stim->tst_stimuli)[p], stim->nTestTrans, mp->sInputs);
fprintf(stFP, "\n");
}
fclose(stFP);
}*/
// Matlab friendly stimuli output
// Change according to input layer dimensions i.e. print out 1D, 2D or 7D(?) patterns
char label[BUFSIZ];
int t=0;
slen = snprintf(stimFile, FNAMEBUFF, "%sstimuli.m", prefix);
assert(slen < FNAMEBUFF);
stFP = myfopen(stimFile, "w");
fprintf(stFP, "%% *** Training Stimuli ***\n");
fprintf(stFP, "%sSTIM.train = cell(%d,%d);\n",prefix,stim->nStim,stim->nTrans);
for (p=0; p<stim->nStim; p++)
{
for (t=0; t<stim->nTrans; t++)
{
//fprintf(stFP, "STIM.train{%d,%d} =", p, p+1, stim->nStim);
snprintf(label, BUFSIZ, "%sSTIM.train{%d,%d}",prefix,p+1,t+1);
printFloatArray(stFP, label, (stim->trn_stimuli)[p][t], mp->sInputs);
/*fprintf(stFP, ""%sSTIM.train{%d,%d} = \t%f * [",prefix,p+1,t+1,mp->current);
for (n=0; n<mp->sInputs; n++) // Change to printIrow()
fprintf(stFP, "%d ", stim->trn_stimuli[s][0][n]?1:0); //%1.0f with ceil()
fprintf(stFP, "];\n");*/
}
}
if (stim->newTestSet)
{
fprintf(stFP, "\n%% *** Testing Stimuli ***\n");
fprintf(stFP, "%sSTIM.test = cell(%d,%d);\n",prefix,stim->nTestStim,stim->nTestTrans);
for (p=0; p<stim->nTestStim; p++)
{
for (t=0; t<stim->nTestTrans; t++)
{
snprintf(label, BUFSIZ, "%sSTIM.test{%d,%d}",prefix,p+1,t+1);
printFloatArray(stFP, label, (stim->tst_stimuli)[p][t], mp->sInputs);
}
}
}
//fprintf(stFP, "\n%% *** Training schedule ***\n");
//fprintf(stFP, "%% Transforms are presented sequentially during (pre)testing.\n");
//fprintf(stFP, "STIM.schedule = cell(%d,1);\n", mp->loops);
fclose(stFP);
return;
}
int genShuffles(STIMULI * stim, PARAMS * mp)
{
int loop=0, p=0, trans=0, count=0;
int * choices = NULL;
if (mp->randStimOrder)
{
choices = myalloc(stim->nStim * sizeof(int));
for (p=0; p<stim->nStim; p++)
choices[p] = p;
stim->stimShuffle = get_2D_iarray(mp->loops, stim->nStim, 0);
for (loop=0; loop<mp->loops; loop++)
{
gsl_ran_shuffle(mSeed, choices, stim->nStim, sizeof(int));
memcpy(stim->stimShuffle[loop], choices, stim->nStim * sizeof(int));
}
count++;
myfree(choices);
}
// Currently assumes the same number of transforms for all stimuli
if (mp->randTransOrder)
{
choices = myalloc(stim->nTrans * sizeof(int));
for (trans=0; trans<stim->nTrans; trans++)
choices[trans] = trans;
stim->transShuffle = get_3D_iarray(mp->loops, stim->nStim, stim->nTrans, 0);
for (loop=0; loop<mp->loops; loop++)
{
for (p=0; p<stim->nStim; p++)
{
gsl_ran_shuffle(mSeed, choices, stim->nTrans, sizeof(int));
memcpy(stim->transShuffle[loop][p], choices, stim->nTrans * sizeof(int));
}
}
count++;
myfree(choices);
}
/*if (mp->randTransDirection) // Mutually exclusive with randTransOrder
{
stim->transShuffle = get_3D_iarray(mp->loops, stim->nStim, stim->nTrans, 0);
for (loop=0; loop<mp->loops; loop++)
{
for (p=0; p<stim->nStim; p++)
{
reverse = (gsl_rng_uniform_int(mSeed, 2)) ? true : false;
for (trans=0; trans<stim->nTrans; trans++)
stim->transShuffle[loop][p][trans] = reverse ? (stim->nTrans-1)-trans : trans;
}
}
}*/
return count;
}
/*void genSchedule(STIMULI * stim, PARAMS * mp) // if (mp->train)
{
//size_t index_size = (sizeof(***stim->sched) * mp->loops) + (sizeof(**stim->sched) * mp->loops * stim->nStim);
size_t index_size = (sizeof(***stim->sched) * mp->loops) * (1 + stim->nStim);
size_t store_size = sizeof(SCHEDULE) * mp->loops * stim->nStim * stim->nTrans;
stim->sched = myalloc(index_size + store_size);
//if(!a) return NULL;
//memset(stim->sched + index_size, 0, store_size); // Be careful with memsets rezeroing the array
size_t l=0, s=0;
for (l=0; l<mp->loops; l++)
for (s=0; s<stim->nStim; s++)
stim->sched[l][s] = index_size + (l*stim->nStim*stim->nTrans) + (s*stim->nTrans);
//((void **)a)[i] = a + index_size + i * cols * value_size;
//return (void **)a;
size_t t=0;
sChoices = myalloc(stim->nStim * sizeof(int));
for (s=0; s<stim->nStim; s++)
sChoices[s] = s;
tChoices = myalloc(stim->nTrans * sizeof(int));
for (t=0; t<stim->nTrans; t++)
choices[t] = t;
for (l=0; l<mp->loops; l++)
{
if (mp->randStimOrder)
{
gsl_ran_shuffle(mSeed, sChoices, stim->nStim, sizeof(int));
}
else if (mp->interleaveTrans)
{
for (t=0; t<stim->nTrans; t++)
{
for (s=0; s<stim->nStim; s++)
{
stim->sched[l][s][t]
}
}
}
for (s=0; s<stim->nStim; s++)
{
if (mp->randTransOrder)
{
gsl_ran_shuffle(mSeed, tChoices, stim->nTrans, sizeof(int));
}
else if (mp->randTransDirection)
{
reverse = (gsl_rng_uniform_int(mSeed, 2)) ? true : false;
}
for (t=0; t<stim->nTrans; t++)
{
stim->sched[l][s][t].st = sChoices[s];
stim->sched[l][s][t].tr = (reverse) ? (stim->nTrans-1)-t : tChoices[t];
}
}
}
return;
}*/
void printSchedule(STIMULI * stim, const char * filename)
{
int l=0, p=0, slen=0;
char label[BUFSIZ];
FILE * fp = myfopen(filename, "w");
fprintf(fp, "STIM.stimShuffle = cell(MP.loops,1);\n");
fprintf(fp, "STIM.transShuffle = cell(MP.loops,%d);\n", stim->nStim);
for (l=0; l<mp->loops; l++)
{
slen = snprintf(label, BUFSIZ, "stimShuffle{%d}", l+1);
assert(slen < BUFSIZ);
printIntArray(fp, label, stim->stimShuffle[l], stim->nStim);
for (p=0; p<stim->nStim; p++)
{
slen = snprintf(label, BUFSIZ, "transShuffle{%d,%d}", l+1, p+1);
assert(slen < BUFSIZ);
printIntArray(fp, label, stim->transShuffle[l][stim->stimShuffle[l][p]], stim->nTrans);
}
}
fclose(fp);
}
void calcInput(PARAMS * mp, int loop, int pat, int trans, STIMULI * stim, float ** input, int regime, const char * stimFile) // return int * input?
{ // Assumes all stimuli translate
switch (regime)
{
case Testing: // Testing stimuli
if (mp->useFilteredImages)
*input = ****(stim->tstImages[pat][trans]);
else
*input = stim->tst_stimuli[pat][trans];
//*input = (mp->useFilteredImages) ? ****(stim->tstImages[pat][trans]) : stim->tst_stimuli[pat][trans];
break;
case Training: // Training stimuli
pat = (mp->randStimOrder) ? stim->stimShuffle[loop][pat] : pat;
trans = (mp->randTransOrder) ? stim->transShuffle[loop][pat][trans] : trans;
*input = (mp->useFilteredImages) ? ****(stim->trnImages[pat][trans]) : stim->trn_stimuli[pat][trans];
FILE * stFP = myfopen(stimFile, "a+");
//FILE * fp = myfopen("stimuli.m", "a+"); //schedule.m
//fprintf(fp, "%d %d %d\n", loop, pat, trans);
fprintf(stFP, "%d,%d; ",pat, trans); // Change to 'Matlab friendly' i.e. pat+1, trans+1
fclose(stFP);
break;
default:
exit_error("calcInput", "Unknown regime");
break;
}
#if DEBUG > 3
print_frow(stderr, *input, mp->sInputs);
#endif
return; // void;
}
void simulatePhase(LEARNREGIME regime, const char * prefix, STIMULI * stim)
{
int * o = NULL;
int * i = NULL;
int oCount=0, iCount=0;
int p=0, tr=0; //g=0
int nStimuli=0, nTrans=0; //nGroups,
float transP = 0.0;
tstep t_start = 0, t_end = 0;
int loop, l, wl, n, syn;
int nLoops = 0;
int result = 0;
//LEARNREGIME regime = Continuous; //NoLearning;
int slen = 0;
//char phaseString[FNAMEBUFF];
char stimFile[FNAMEBUFF];
char filename[FNAMEBUFF];
char buff[BUFSIZ];
FILE * excitOutput;
FILE * inhibOutput;
FILE * weightOutput;
FILE * recFile;
FILE * stFP;
//char fullprefix[FNAMEBUFF];
bool reverse = false;
double percentage = 0.0;
float * input = NULL; //myalloc(mp->sInputs * sizeof(*input));
#if DEBUG > 1 // Level 2
#ifdef _OPENMP
double secs = 0.0;
char timeStr[BUFSIZ];
char remainStr[BUFSIZ];
#endif
#endif
switch (regime) //(sPhase)
{
case Training:
nStimuli = stim->nStim;
nTrans = stim->nTrans;
transP = mp->transP_Train;
nLoops = mp->loops;
slen = snprintf(stimFile, FNAMEBUFF, "%sstimuli.m", prefix);
assert(slen < FNAMEBUFF);
stFP = myfopen(stimFile, "a+");
fprintf(stFP, "\n%% *** Training schedule ***\n");
fprintf(stFP, "%% Transforms are presented sequentially during (pre)testing.\n");
fprintf(stFP, "%sSTIM.schedule = cell(%d,1);\n", prefix, mp->loops);
fclose(stFP);
break;
case Testing:
nStimuli = stim->nTestStim;
nTrans = stim->nTestTrans;
transP = mp->transP_Test;
nLoops = 1;
break;
default:
exit_error("simulatePhase", "Unknown phase!");
break;
}
if (mp->interleaveTrans && regime == Training)
{
o = &tr;
i = &p;
oCount = nTrans;
iCount = nStimuli;
}
else
{
o = &p;
i = &tr;
oCount = nStimuli;
iCount = nTrans;
}
//printf("\tNow beginning %s phase...\n",phaseString); // *** Move outside
if (regime == Testing) // pre and post training
printf("\tSimulating %2.3f s [%.0fms/transform].\n",mp->TestTime,mp->transP_Test*1000);
else if (regime == Training) //(sPhase == Training)
printf("\tSimulating %2.3fs for %d epoch%s [%.0fms/transform].\n",mp->EpochTime,nLoops,(nLoops>1)?"s":"",mp->transP_Train*1000);
for (loop=0; loop<nLoops; loop++)
{
initNetwork(Hard);//(NoLearning); // Reset V's, g's, C's, D's and spike buffers - NoLearning even for Training!
if (regime == Training) //(sPhase == Training)
{
printf("\tLoop #%d (%d/%d)\n", loop, loop+1, mp->loops);
//slen = snprintf(stimFile, FNAMEBUFF, "%sstimuli.m", prefix);
//assert(slen < FNAMEBUFF);
slen = snprintf(buff, BUFSIZ, "%sSTIM.schedule{%d} = [", prefix, loop+1);
assert(slen < FNAMEBUFF);
append(stimFile, buff);
}
/*for (g=0; g<((mp->stimGroups)?nGroups:1); g++)
{
if (g>nGroups)
getchar();
if (mp->stimGroups)
printf("\tGroup %d/%d\n", g+1, nGroups);*/
for (*o=0; *o<oCount; (*o)++)
{
if (regime==Training)
{
if (mp->trainPause && !mp->interleaveTrans)
initNetwork(Soft);
if (mp->randTransDirection) // Generate [0,n-1] with equal probability
reverse = (gsl_rng_uniform_int(mSeed, 2)) ? true : false;
}
for (*i=0; *i<iCount; (*i)++)
{
if (regime == Testing) //if (sPhase != Training) //Testing only
initNetwork(Soft);
calcInput(mp, loop, p, ((reverse) ? (nTrans-1)-tr : tr), stim, &input, regime, stimFile);
if ( tr==0 || (mp->interleaveTrans && regime) )
printf("\t\tPresenting stimulus %d/%d...\n", (p+1), nStimuli);
if (nTrans > 1)
printf("\t\t\tTransform %d/%d...\n", (reverse ? nTrans-tr : tr+1), nTrans); //\r
t_start = round((*i + (*o * iCount)) * transP * ceil(1/mp->DT));
t_end = t_start + round(transP * ceil(1/mp->DT));
#if DEBUG > 1 // Level 2
fprintf(stderr, "Updating network from timestep %d to %d.\n", t_start, t_end-1); //%lld
#ifdef _OPENMP
SIM.elapsed = omp_get_wtime() - SIM.start;
getTimeString(timeStr, BUFSIZ, SIM.elapsed, "ms");
printf("[%s]",timeStr); // Time stamp
#endif
#endif
updateNetwork(t_start, t_end, input, regime); //loop,
// Update to normalise ElE weights and skip if not Training
if (mp->normalise) // Normalise plastic weights
result = normalise(n_E, mp);
/*if (mp->saveInputSpikes)
{
// Print spikes to file (see below) ...
slen = snprintf(filename, FNAMEBUFF, "E%dL0ExcitSpikes.dat", loop);
for (n=0; n<mp->sInputs; n++)
{
n_E[0][n].spkbin = 0;
memset(n_E[0][n].spikeTimes, 0, mp->inpSpkBuff*sizeof(n_E[0][n].spikeTimes[0])); //[0]?
}
}*/
SIM.tally += round(transP/mp->DT); //transP * ceil(1/mp->DT);
percentage = (100.0*SIM.tally)/SIM.totTS;
#if DEBUG > 1 // Level 2
#ifdef _OPENMP
secs = omp_get_wtime() - SIM.start - SIM.elapsed;
SIM.realSecPerSimSec = (secs) / transP;
getTimeString(remainStr, BUFSIZ, SIM.realSecPerSimSec * (SIM.totTS-SIM.tally) * mp->DT, "s");
// Format percentage to 3 s.f.
int width, precision;
double logv = log10(percentage);
if (logv < 1)
{
if (logv < 0) // 3 d.p.
{
precision = 3;
width = 5; // 0.xxx
}
else //if (logv >= 0 && logv < 1) // 2 d.p. x.xx
{
precision = 2;
width = 4;
}
}
else
{
if (logv < 2) //if (logv >= 1 && logv < 2) // 1 d.p. xx.x
{
precision = 1;
width = 4;
}
else // 0 d.p.
{
precision = 0;
width = floor(logv) + 1;
}
}
printf("\t%G/s\t%*.*lf%%\tEst. time remaining: %s\n",round(SIM.realSecPerSimSec),width,precision,percentage,remainStr);
#endif
#endif
if (SIM.Xgrid)
{
//printf("\n");
printf("<xgrid>{control = statusUpdate; percentDone = %.0lf; }</xgrid>\n", percentage);
fflush(stdout);
}
}
}
//}
//printf("\t%s complete!\n",phaseString); // *** Move outside
if (regime == Training)
{
//slen = snprintf(filename, FNAMEBUFF, "%sstimuli.m", prefix); // filename not changed yet
//assert(slen < FNAMEBUFF);
//slen = snprintf(buff, BUFSIZ, "schedule{%d} = [", loop+1);
//assert(slen < FNAMEBUFF);
append(stimFile, "]';\n"); // schedule(1,:) := stimulus; schedule(2,:) := transform;
}
printf("\tSaving results..."); // Output results to dat files
for (l=0; l<mp->nLayers; l++) // Save Excitatory spikes
{
if (regime == Training)
slen = snprintf(filename, FNAMEBUFF, "%sE%dL%dExcitSpikes.dat", prefix, loop, l);
else // <pre>Testing
slen = snprintf(filename, FNAMEBUFF, "%sL%dExcitSpikes.dat", prefix, l);
assert(slen < FNAMEBUFF);
excitOutput = myfopen(filename, "w");
for (n=0; n<mp->vExcit[l]; n++)
{
fprintf(excitOutput, "%d\t", n_E[l][n].spkbin); // Print number of spikes first (in case any at t=0)
print_irow(excitOutput, (int*) n_E[l][n].spikeTimes, n_E[l][n].spkbin); // spikeTimes[0] = -BIG?
}
fclose(excitOutput);
}
if (regime == Testing) // Save Inhibitory spikes
{
for (l=0; l<mp->nLayers; l++)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dInhibSpikes.dat", prefix, l);
assert(slen < FNAMEBUFF);
inhibOutput = myfopen(filename, "w"); // Make either HR "w" or Binary "wb"
for (n=0; n<mp->vInhib[l]; n++)
{
fprintf(inhibOutput, "%d\t", n_I[l][n].spkbin); // Print number of spikes first (in case any at t=0)
print_irow(inhibOutput, (int*) n_I[l][n].spikeTimes, n_I[l][n].spkbin);
}
fclose(inhibOutput);
}
}
if (regime != Training && !mp->loadWeights) // Save weights for EfE synapses - Pretraining and Testing
{
for (wl=1; wl<mp->nLayers; wl++)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dweightsEfE.dat", prefix, wl);
assert(slen < FNAMEBUFF);
weightOutput = myfopen(filename, "w");
for (n=0; n<mp->vExcit[wl]; n++)
{
fprintf(weightOutput, "%d\t", n_E[wl][n].nFAff_E); // Print number of EfE synapses first
for (syn=0; syn<n_E[wl][n].nFAff_E; syn++)
fprintf(weightOutput, "%f ", n_E[wl][n].FAffs_E[syn]->delta_g);
fprintf(weightOutput, "\n");
}
fclose(weightOutput);
}
//(mp->trainElE) // *** Print out anyway?
//{
for (l=0; l<mp->nLayers; l++)
{
if (mp->pCnxElE[l] > EPS)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dweightsElE.dat", prefix, l);
assert(slen < FNAMEBUFF);
weightOutput = myfopen(filename, "w");
for (n=0; n<mp->vExcit[l]; n++)
{
fprintf(weightOutput, "%d\t", n_E[l][n].nLAff_E); // Print number of ElE synapses first
for (syn=0; syn<n_E[l][n].nLAff_E; syn++)
fprintf(weightOutput, "%f ", n_E[l][n].LAffs_E[syn]->delta_g);
fprintf(weightOutput, "\n");
}
fclose(weightOutput);
}
}
//}
}
if (mp->nRecords) // Should be training - currently no records during PP
{
char pStr[BUFSIZ];
if (regime == Training)
slen = snprintf(pStr, FNAMEBUFF, "RE%d", loop);
else // <pre>Testing
slen = snprintf(pStr, FNAMEBUFF, "R%s", prefix);
assert(slen && slen < FNAMEBUFF); // Check non-negative
// Could collapse these loops (and if statement) into one loop over array of N* ?
for (l=0; l<mp->nLayers; l++)
{
for (n=0; n<mp->vExcit[l]; n++)
{
if (n_E[l][n].rec_flag)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dV.dat", pStr, l, n); // Change
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w"); //r_cellV_ptr = fopen(filename, "wb");
print_frow(recFile, n_E[l][n].rec->cellV, n_E[l][n].rec->bin); // bin already points to the next free slot
// print_farray(rCellVout, n_E[l][n].rec->cellV, mp->loops, mp->RecordMS); //fwrite(n_E[l][n].rec->cellV, sizeof(float), mp->loops*mp->RecordMS, r_cellV_ptr); // See nifty trick #1
fclose(recFile);
memset(n_E[l][n].rec->cellV, 0, (mp->RecordMS+1)*sizeof(*(n_E[l][n].rec->cellV)));
if (mp->adaptation)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dcCa.dat", pStr, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_frow(recFile, n_E[l][n].rec->cellcCa, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->cellcCa, 0, (mp->RecordMS+1)*sizeof(*(n_E[l][n].rec->cellcCa)));
}
if (regime == Training) // *** && mp->train for preTraining?
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dD.dat", pStr, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w"); //r_D_ptr = fopen(filename, "wb");
print_frow(recFile, n_E[l][n].rec->cellD, n_E[l][n].rec->bin); // (rDout, n_E[l][n].rec->cellD, mp->loops, mp->RecordMS);
fclose(recFile);
memset(n_E[l][n].rec->cellD, 0, (mp->RecordMS+1)*sizeof(*(n_E[l][n].rec->cellD)));
}
if (n_E[l][n].nLAff_I)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dLAffsigGI.dat", pStr, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_frow(recFile, n_E[l][n].rec->LsigGI, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->LsigGI, 0, (mp->RecordMS+1) * sizeof(*(n_E[l][n].rec->LsigGI)));
}
if (n_E[l][n].nFAff_E) //(l>0) // The presynaptic cell's values are attached to each record
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dFAffg.dat", pStr, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_farray(recFile, n_E[l][n].rec->FSynG, n_E[l][n].nFAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->FSynG[0], 0, n_E[l][n].nFAff_E*(mp->RecordMS+1)*sizeof(**(n_E[l][n].rec->FSynG)));
if (regime == Training) // *** && mp->train for preTraining?
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dFAffC.dat", pStr, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w"); //r_C_ptr = fopen(filename, "wb");
print_farray(recFile, n_E[l][n].rec->FSynC, n_E[l][n].nFAff_E, n_E[l][n].rec->bin); //print_farray(recFile, n_E[l][n].rec->SynC[loop], n_E[l][n].nFAff_E, mp->RecordMS);
fclose(recFile);
memset(n_E[l][n].rec->FSynC[0], 0, n_E[l][n].nFAff_E*(mp->RecordMS+1)*sizeof(**(n_E[l][n].rec->FSynC)));
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dFAffdg.dat", pStr, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_farray(recFile, n_E[l][n].rec->FSynDG, n_E[l][n].nFAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->FSynDG[0], 0, n_E[l][n].nFAff_E*(mp->RecordMS+1)*sizeof(**(n_E[l][n].rec->FSynDG)));
}
}
if (n_E[l][n].nLAff_E) //(mp->pCnxElE[l] > EPS)
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dLAffg.dat", pStr, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_farray(recFile, n_E[l][n].rec->LSynG, n_E[l][n].nLAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->LSynG[0], 0, n_E[l][n].nLAff_E*(mp->RecordMS+1)*sizeof(**(n_E[l][n].rec->LSynG)));
if (mp->trainElE && regime == Training) //mp->train
{
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dLAffC.dat", pStr, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_farray(recFile, n_E[l][n].rec->LSynC, n_E[l][n].nLAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->LSynC[0], 0, n_E[l][n].nLAff_E*(mp->RecordMS+1)*sizeof(**(n_E[l][n].rec->LSynC)));
slen = snprintf(filename, FNAMEBUFF, "%sL%dN%dLAffdg.dat", pStr, l, n);
assert(slen && slen < FNAMEBUFF);
recFile = myfopen(filename, "w");
print_farray(recFile, n_E[l][n].rec->LSynDG, n_E[l][n].nLAff_E, n_E[l][n].rec->bin);
fclose(recFile);
memset(n_E[l][n].rec->LSynDG[0], 0, n_E[l][n].nLAff_E*(mp->RecordMS+1)*sizeof(**(n_E[l][n].rec->LSynDG)));
}
}
n_E[l][n].rec->bin = 0; // Reset record counter ready for next phase/epoch
}
}
}
} // End of state variable records
printf("\tResults saved!\n");
} // End of loops
//myfree(input);
return;
}
void updateNetwork(tstep t_start, tstep t_end, float input[], int regime) //int loop,
{
int l, n, syn; //, l; //, wl;
int bin = 0;
tstep t=0; tstep lstart=0;
float decayRate, decay_E, decay_I;//, gLeak, Vrest, Thresh, Vhyper;
#pragma omp parallel default(shared) private(t,l,n,syn,bin,decayRate,decay_E,decay_I,lstart)//,gLeak,Vrest,Thresh,Vhyper)
{
if (t_start==0 && mp->nRecords) // Save intial neuron states (then every ms - see below) // Records printed to file after each loop
{
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait
for (n=0; n<mp->vExcit[l]; n++) //for (r=0; r<NRECORDS_PL; r++)
if (n_E[l][n].rec_flag) // Can use tm1 variables since they are initialised equal to tm0 variables
{
bin = n_E[l][n].rec->bin++;
n_E[l][n].rec->cellV[bin] = n_E[l][n].V_tm1;
if (mp->adaptation)
n_E[l][n].rec->cellcCa[bin] = n_E[l][n].cCa_tm1;
for (syn=0; syn<n_E[l][n].nLAff_I; syn++)
n_E[l][n].rec->LsigGI[bin] += n_E[l][n].LAffs_I[syn]->g_tm1; // Sum
for (syn=0; syn<n_E[l][n].nFAff_E; syn++) // nFAff_E == 0 for l=0
n_E[l][n].rec->FSynG[syn][bin] = n_E[l][n].FAffs_E[syn]->g_tm1;
for (syn=0; syn<n_E[l][n].nLAff_E; syn++) // Implicit: if (mp->pCnxElE[l] > EPS) //mp->trainElE && mp->train &&
n_E[l][n].rec->LSynG[syn][bin] = n_E[l][n].LAffs_E[syn]->g_tm1;
if (regime == Training)
{
n_E[l][n].rec->cellD[bin] = n_E[l][n].D_tm1;
for (syn=0; syn<n_E[l][n].nFAff_E; syn++)
{
n_E[l][n].rec->FSynDG[syn][bin] = n_E[l][n].FAffs_E[syn]->delta_g_tm1;
n_E[l][n].rec->FSynC[syn][bin] = n_E[l][n].FAffs_E[syn]->C_tm1;
}
if (mp->trainElE) //&& mp->train
for (syn=0; syn<n_E[l][n].nLAff_E; syn++)
{
n_E[l][n].rec->LSynDG[syn][bin] = n_E[l][n].LAffs_E[syn]->delta_g_tm1;
n_E[l][n].rec->LSynC[syn][bin] = n_E[l][n].LAffs_E[syn]->C_tm1;
}
}
}
}
//#pragma omp barrier // Only need a barrier before solution variables are copied
}
for (t=t_start; t<t_end; t++)
{
#if DEBUG>3
#pragma omp single nowait
{
fprintf(stderr, "\rTimestep: %d",t);
fflush(stderr);
}
#endif
/* Update Excitatory cell potentials */
decayRate = mp->DT/mp->capE;
/*gLeak = mp->gLeakE;
Vrest = mp->VrestE;
Thresh = mp->ThreshE;
Vhyper = mp->VhyperE;*/
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait schedule(static) // Needed for thread-safe noise
for (n=0; n<mp->vExcit[l]; n++)
update_V(&n_E[l][n], t, decayRate, mp->gLeakE, mp->VrestE, mp->ThreshE, mp->VhyperE, (l==0)?input[n]:0.0);
//update_V(&n_E[l][n], t, decayRate, gLeak, Vrest, Thresh, Vhyper, (l==0)?input[n]:0.0);
}
/* Update Inhibitory cell potentials */
decayRate = mp->DT/mp->capI;
/*gLeak = mp->gLeakI;
Vrest = mp->VrestI;
Thresh = mp->ThreshI;
Vhyper = mp->VhyperI;*/
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait schedule(static)// It is ok to have a nowait here with a minimum conduction delay of 1 tstep
for (n=0; n<mp->vInhib[l]; n++) // Larger input layer separation as for Excit cells?
update_V(&n_I[l][n], t, decayRate, mp->gLeakI, mp->VrestI, mp->ThreshI, mp->VhyperI, 0.0);
//update_V(&n_I[l][n], t, decayRate, gLeak, Vrest, Thresh, Vhyper, 0.0);
}
if (mp->adaptation)
{
decayRate = mp->DT/mp->tauCa;
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait //schedule(runtime)
for (n=0; n<mp->vExcit[l]; n++)
update_cCa(&n_E[l][n], t, decayRate);
}
}
/* Update presynaptic conductances */
decay_E = (mp->DT/mp->tauEE);
decay_I = (mp->DT/mp->tauIE);
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait //schedule(guided)//schedule(runtime) //- experiment!!
for (n=0; n<mp->vExcit[l]; n++)
update_g(&n_E[l][n], t, decay_E, decay_I); // Uses same decay_E for EfE and ElE synapses
}
decay_E = (mp->DT/mp->tauEI);
decay_I = (mp->DT/mp->tauII);
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait //schedule(guided)//schedule(runtime)
for (n=0; n<mp->vInhib[l]; n++)
update_g(&n_I[l][n], t, decay_E, decay_I);
}
#pragma omp barrier
if (regime==Training) // Learning
{
lstart = (mp->trainElE) ? 0 : 1;
/* Update synaptic weights */ // Move after C & D and use instantaeous values? N.B. Redo nowait clauses
for (l=lstart; l<mp->nLayers; l++) // Skip 1st layer of afferent processing only for FF plasticity
{
#pragma omp for nowait //schedule(runtime)
for (n=0; n<mp->vExcit[l]; n++) // Make parallel and n private
update_weights(&n_E[l][n], t);
}
// -->|| Update C for current neuron's outgoing synapses (skip last layer)
decayRate = mp->DT/mp->tauC;
for (l=lstart; l<mp->nLayers; l++) // Only nLayers-1 of synapses
{
#pragma omp for nowait //schedule(runtime) //ok
for (n=0; n<mp->vExcit[l]; n++)
update_C(&n_E[l][n], t, decayRate);
}
// ||--> Update D for current neuron's incoming synapses (skip first layer)
decayRate = mp->DT/mp->tauD;
for (l=lstart; l<mp->nLayers; l++) // Only nLayers-1 of weight layers
{
#pragma omp for nowait //schedule(runtime) //ok
for (n=0; n<mp->vExcit[l]; n++)
update_D(&n_E[l][n], t, decayRate);
}
#pragma omp barrier
}
// #pragma omp barrier
/* Copy solution variables to _tm1 counterparts and reset spike flags / axons */
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait //schedule(runtime) //ok
for (n=0; n<mp->vExcit[l]; n++)
{
//n_E[l][n].fired = 0;
n_E[l][n].V_tm1 = n_E[l][n].V;
if (mp->adaptation)
n_E[l][n].cCa_tm1 = n_E[l][n].cCa;
for (syn=0; syn<n_E[l][n].nFEff_E; syn++)
{
if (t == next_spike(&n_E[l][n].FEffs_E[syn]))
dequeue(&n_E[l][n].FEffs_E[syn]);
n_E[l][n].FEffs_E[syn].g_tm1 = n_E[l][n].FEffs_E[syn].g;
}
for (syn=0; syn<n_E[l][n].nLEff_E; syn++)
{
if (t == next_spike(&n_E[l][n].LEffs_E[syn]))
dequeue(&n_E[l][n].LEffs_E[syn]);
n_E[l][n].LEffs_E[syn].g_tm1 = n_E[l][n].LEffs_E[syn].g;
}
for (syn=0; syn<n_E[l][n].nLEff_I; syn++)
{
if (t == next_spike(&n_E[l][n].LEffs_I[syn]))
dequeue(&n_E[l][n].LEffs_I[syn]);
n_E[l][n].LEffs_I[syn].g_tm1 = n_E[l][n].LEffs_I[syn].g;
}
if (regime == Training) // Only copy C, D & Dg during Training
{
n_E[l][n].D_tm1 = n_E[l][n].D;
for (syn=0; syn<n_E[l][n].nFEff_E; syn++)
{
n_E[l][n].FEffs_E[syn].delta_g_tm1 = n_E[l][n].FEffs_E[syn].delta_g;
n_E[l][n].FEffs_E[syn].C_tm1 = n_E[l][n].FEffs_E[syn].C;
}
if (mp->trainElE)
for (syn=0; syn<n_E[l][n].nLEff_E; syn++)
{
n_E[l][n].LEffs_E[syn].delta_g_tm1 = n_E[l][n].LEffs_E[syn].delta_g;
n_E[l][n].LEffs_E[syn].C_tm1 = n_E[l][n].LEffs_E[syn].C;
}
}
}
}
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait //schedule(runtime)
for (n=0; n<mp->vInhib[l]; n++)
{
n_I[l][n].V_tm1 = n_I[l][n].V;
for (syn=0; syn<n_I[l][n].nLEff_E; syn++)
{
if (t == next_spike(&n_I[l][n].LEffs_E[syn]))
dequeue(&n_I[l][n].LEffs_E[syn]);
n_I[l][n].LEffs_E[syn].g_tm1 = n_I[l][n].LEffs_E[syn].g;
}
for (syn=0; syn<n_I[l][n].nLEff_I; syn++)
{
if (t == next_spike(&n_I[l][n].LEffs_I[syn]))
dequeue(&n_I[l][n].LEffs_I[syn]);
n_I[l][n].LEffs_I[syn].g_tm1 = n_I[l][n].LEffs_I[syn].g;
}
}
}
//#pragma omp barrier
if (mp->nRecords && ((t+1) % mp->TSperMS == 0)) // && regime // Save neuron states (dump to file after each loop)
{
for (l=0; l<mp->nLayers; l++)
{
#pragma omp for nowait //schedule(runtime)//private(bin, syn, n) //l, // Already private!
for (n=0; n<mp->vExcit[l]; n++) //for (r=0; r<NRECORDS_PL; r++)
if (n_E[l][n].rec_flag)
{
bin = n_E[l][n].rec->bin++;
n_E[l][n].rec->cellV[bin] = n_E[l][n].V;
if (mp->adaptation)
n_E[l][n].rec->cellcCa[bin] = n_E[l][n].cCa;
for (syn=0; syn<n_E[l][n].nLAff_I; syn++)
n_E[l][n].rec->LsigGI[bin] += n_E[l][n].LAffs_I[syn]->g; // Sum
for (syn=0; syn<n_E[l][n].nFAff_E; syn++) // nFAff_E == 0 for l=0
n_E[l][n].rec->FSynG[syn][bin] = n_E[l][n].FAffs_E[syn]->g;
for (syn=0; syn<n_E[l][n].nLAff_E; syn++) // Implicit: if (mp->pCnxElE[l] > EPS) //mp->trainElE && mp->train &&
n_E[l][n].rec->LSynG[syn][bin] = n_E[l][n].LAffs_E[syn]->g;
if (regime == Training)
{
n_E[l][n].rec->cellD[bin] = n_E[l][n].D;
for (syn=0; syn<n_E[l][n].nFAff_E; syn++) // nFAff_E == 0 for l=0
{
n_E[l][n].rec->FSynDG[syn][bin] = n_E[l][n].FAffs_E[syn]->delta_g;
n_E[l][n].rec->FSynC[syn][bin] = n_E[l][n].FAffs_E[syn]->C;
}
if (mp->trainElE) // && mp->train && mp->pCnxElE[l] > EPS
for (syn=0; syn<n_E[l][n].nLAff_E; syn++)
{
n_E[l][n].rec->LSynDG[syn][bin] = n_E[l][n].LAffs_E[syn]->delta_g;
n_E[l][n].rec->LSynC[syn][bin] = n_E[l][n].LAffs_E[syn]->C;
}
}
}
}
//#pragma omp barrier
// Could use #pragma omp single to print out progress bar every ms
// e.g. printf("\r");
}
#pragma omp barrier
} // End of timesteps loop
} // End of parallel section
return; // void;
}
void update_V(NEURON * n, tstep t, float decay_rate, float gLeak, float Vrest, float Thresh, float Vhyper, float inj)
{ /* This function updates a neuron's cell potential and applies to all layers */
if (t > n->nextUpdate) //if ((((t - n->lastSpike) * DT) > mp->refract) || n->spkbin==0) // Calculated at spike time
{
int syn;
float tot_g_E = 0.0;
float tot_g_I = 0.0;
/* Feed-forward connections (n->type==EXCIT && l>0) */
for (syn=0; syn<n->nFAff_E; syn++)
tot_g_E += n->FAffs_E[syn]->g_tm1;
/* Lateral connections */
for (syn=0; syn<n->nLAff_E; syn++)
tot_g_E += n->LAffs_E[syn]->g_tm1;
for (syn=0; syn<n->nLAff_I; syn++)
tot_g_I += n->LAffs_I[syn]->g_tm1;
/*float adapt = 0.0;
if (mp->adaptation && n->type==EXCIT)
adapt = mp->gAHP * (mp->VK - n->V_tm1);*/
n->V += decay_rate * ( (gLeak * (Vrest - n->V_tm1)) \
+ (tot_g_E * (mp->VrevE - n->V_tm1)) \
+ (tot_g_I * (mp->VrevI - n->V_tm1)) \
+ ((mp->adaptation && n->type==EXCIT) ? (mp->gAHP * n->cCa_tm1 * (mp->VK - n->V_tm1)) : 0.0) \
+ inj );
if (mp->noise)
{
float sigma = 0.0;
int th = 0;
#ifdef _OPENMP
th = omp_get_thread_num();
#endif
sigma = (n->type == EXCIT) ? mp->SigmaE : mp->SigmaI;
n->V += (gsl_ran_gaussian(states[th], sqrt(gLeak*decay_rate)) * sigma); // decay_rate = DT/mp->cap{E,I}
}
n->V = ((n->V < mp->VrevI) ? mp->VrevI : n->V); // Neurons can not be more -ve than Inhib reversal potential
if (n->V >= Thresh) // n->V_tm1 ??? - gives one timestep to depolarise (peak)
{
#if DEBUG>3
fprintf(stderr," L%dN%d%c: t=%d",n->l,n->n,(n->type==EXCIT)?'E':'I',t);
#endif
n->V = Vhyper;
n->lastSpike = n->spikeTimes[n->spkbin++] = t; //++(n->spkbin)
n->nextUpdate = t + ceil(mp->refract/mp->DT);
// Enqueue spike for all post-synaptic neurons
for (syn=0; syn<n->nFEff_E; syn++)
enqueue(&n->FEffs_E[syn], t);
for (syn=0; syn<n->nLEff_E; syn++)
enqueue(&n->LEffs_E[syn], t);
for (syn=0; syn<n->nLEff_I; syn++)
enqueue(&n->LEffs_I[syn], t);
/*if (mp->adaptation && n->type==EXCIT)
n->cCa = n->cCa_tm1 + mp->alphaCa;*/
} // End of spike
} // End of REFRACT check
return;
}
inline void update_cCa(NEURON * n, tstep t, float decayRate)
{
//float impulse = ((t == n->lastSpike) ? mp->alphaCa : 0.0); // private
n->cCa += (((t == n->lastSpike) ? mp->alphaCa : 0.0) - (n->cCa_tm1 * decayRate)); //mp->DT/mp->tauCa)); // Unbounded!
return;
}
inline void update_g(NEURON * n, tstep t, float decay_E, float decay_I)
{
/* This function updates a neuron's afferent (pre-synaptic) conductances and applies to l>0 */
float impulse;
int syn;
float scale = 0.0;
/* Update EfE synapses */
scale = mp->DgEfE * mp->gMax;
for (syn=0; syn<n->nFAff_E; syn++) // Make private
{
impulse = (next_spike(n->FAffs_E[syn]) == t) ? n->FAffs_E[syn]->delta_g_tm1 * scale : 0.0;
n->FAffs_E[syn]->g += (impulse - (decay_E * n->FAffs_E[syn]->g_tm1));
}
/* Update El_ synapses */
//scale = (mp->trainElE && n->type==EXCIT) ? mp->DgElE * mp->gMax : mp->gMax;
scale = (n->type==EXCIT) ? mp->DgElE * mp->gMax : mp->gMax; // THINK!!!
for (syn=0; syn<n->nLAff_E; syn++)
{
impulse = (next_spike(n->LAffs_E[syn]) == t) ? n->LAffs_E[syn]->delta_g_tm1 * scale : 0.0;
n->LAffs_E[syn]->g += (impulse - (decay_E * n->LAffs_E[syn]->g_tm1));
}
/* Update I synapses */
for (syn=0; syn<n->nLAff_I; syn++) // Already private
{
impulse = (next_spike(n->LAffs_I[syn]) == t) ? n->LAffs_I[syn]->delta_g_tm1 * mp->gMax : 0.0;
n->LAffs_I[syn]->g += (impulse - (decay_I * n->LAffs_I[syn]->g_tm1));
}
// Check to make sure conductances have not become -ve through a coarse decay rate???
return;
}
inline void update_weights(NEURON * n, tstep t)
{
/*** Learning at Excitatory to Excitatory synapses ***/
/* Adapted from Perrinet, Delorme, Samuelides & Thorpe 2001 */
float LTD; //contrib_D
float LTP; //contrib_C;
int syn;
float Dg_tm1 = 0.0;
//float Dg = 0.0;
if (mp->trainEfE)
{
if (mp->noSTDPdelay) // Use unmodified STDP rule
for (syn=0; syn<n->nFAff_E; syn++)
{
Dg_tm1 = n->FAffs_E[syn]->delta_g_tm1;
LTD = (t == n->lm1presyn_E[syn]->lastSpike+1) ? n->FAffs_E[syn]->delta_g_tm1 * n->D_tm1 : 0.0; // Include artefactual delay of 1 tstep
LTP = (t == n->lastSpike) ? (1 - n->FAffs_E[syn]->delta_g_tm1) * n->FAffs_E[syn]->C_tm1 : 0.0;
n->FAffs_E[syn]->delta_g += (LTP - LTD) * mp->learnR;
}
else
{
for (syn=0; syn<n->nFAff_E; syn++)
{
Dg_tm1 = n->FAffs_E[syn]->delta_g_tm1;
#ifndef __llvm__
assert(0 <= Dg_tm1 && Dg_tm1 <= 1);
#endif
LTD = (t == next_spike(n->FAffs_E[syn])) ? n->FAffs_E[syn]->delta_g_tm1 * n->D_tm1 : 0.0; //tm0?
LTP = (t == n->lastSpike) ? (1 - n->FAffs_E[syn]->delta_g_tm1) * n->FAffs_E[syn]->C_tm1 : 0.0; //tm0?
n->FAffs_E[syn]->delta_g += (LTP - LTD) * mp->learnR; //*DT/TAU_DG;
//Dg = n->FAffs_E[syn]->delta_g;
}
}
}
if (mp->trainElE) //
{
for (syn=0; syn<n->nLAff_E; syn++)
{
Dg_tm1 = n->LAffs_E[syn]->delta_g_tm1;
#ifndef __llvm__
assert(0 <= Dg_tm1 && Dg_tm1 <= 1);
#endif
LTD = (t == next_spike(n->LAffs_E[syn])) ? n->LAffs_E[syn]->delta_g_tm1 * n->D_tm1 : 0.0; //tm0?
LTP = (t == n->lastSpike) ? (1 - n->LAffs_E[syn]->delta_g_tm1) * n->LAffs_E[syn]->C_tm1 : 0.0; //tm0?
n->LAffs_E[syn]->delta_g += (LTP - LTD) * mp->learnR; //*DT/TAU_DG;
//assert(0 <= n->LAffs_E[syn]->delta_g && n->LAffs_E[syn]->delta_g <= 1);
}
}
return;
}
inline void update_C(NEURON * n, tstep t, float decayRate)
{
// -->|| Update C for current neuron's outgoing synapses (skip last layer)
int syn;
float impulse;
float C_tm1 = 0.0;
//float decayRate = mp->DT/mp->tauC;
if (mp->trainEfE) // Loop over afferent synapses (skip first layer)
{
if (mp->noSTDPdelay)
for (syn=0; syn<n->nFAff_E; syn++)
{
C_tm1 = n->FAffs_E[syn]->C_tm1;
impulse = (t == n->lm1presyn_E[syn]->lastSpike+1) ? mp->alphaC * (1 - C_tm1) : 0.0;
n->FAffs_E[syn]->C += (impulse - (C_tm1 * decayRate));
}
else
{
for (syn=0; syn<n->nFAff_E; syn++)
{
C_tm1 = n->FAffs_E[syn]->C_tm1;
impulse = (t == next_spike(n->FAffs_E[syn])) ? mp->alphaC * (1 - C_tm1) : 0.0;
n->FAffs_E[syn]->C += (impulse - (C_tm1 * decayRate));
}
}
}
if (mp->trainElE) // Update Excitatory lateral Afferent synapses
{
for (syn=0; syn<n->nLAff_E; syn++)
{
C_tm1 = n->LAffs_E[syn]->C_tm1;
//n->LAffs_E[syn]->C += ((t==next_spike(n->LAffs_E[syn])) ? (mp->alphaC*(1-C_tm1)) : 0.0) - (C_tm1*decayRate);
impulse = (t == next_spike(n->LAffs_E[syn])) ? (mp->alphaC * (1 - C_tm1)) : 0.0;
n->LAffs_E[syn]->C += (impulse - (C_tm1 * decayRate));
//assert(n->LAffs_E[syn]->C <= 1.0 && n->LAffs_E[syn]->C >= 0.0);
}
}
return;
}
inline void update_D(NEURON * n, tstep t, float decayRate)
{
// ||--> Update D for current neuron's incoming synapses (skip first layer)
/*float impulse = ((t == n->lastSpike) ? mp->alphaD : 0.0); // private
n->D += (impulse * (1 - n->D_tm1) - (n->D_tm1 * mp->DT/mp->tauD));*/
//n->D += ((((t == n->lastSpike) ? mp->alphaD : 0.0) * (1 - n->D_tm1)) - (n->D_tm1 * decayRate)); //mp->DT/mp->tauD));
n->D += ((t == n->lastSpike) ? (mp->alphaD * (1 - n->D_tm1)) : 0.0) - (n->D_tm1 * decayRate);
return;
}
int normalise(NEURON ** narray, PARAMS * mp)
{
int l = 0;
int n = 0;
int s = 0;
double sf = 0.0;
double sum = 0.0;
switch (mp->normalise)
{
case None:
{
printf("No normalisation.\n");
return 0;
}
case MaintainLength: // Standard normalisation: set sum of squares to 1
{
// EfE weights
for (l=1; l<mp->nLayers; l++)
{
for (n=0; n<mp->vExcit[l]; n++) // Parallelise
{
sf = 0.0;
for (s=0; s<narray[l][n].nFAff_E; s++)
sf += (narray[l][n].FAffs_E[s]->delta_g_tm1 * n_E[l][n].FAffs_E[s]->delta_g_tm1); //tm1?
if (sf) // Do not divide by 0!
{
sf = 1/sqrt(sf);
for (s=0; s<narray[l][n].nFAff_E; s++)
{
narray[l][n].FAffs_E[s]->delta_g_tm1 *= sf;
if (narray[l][n].FAffs_E[s]->delta_g_tm1 < 0.0)
narray[l][n].FAffs_E[s]->delta_g_tm1 = 0.0;
if (narray[l][n].FAffs_E[s]->delta_g_tm1 > 1.0)
narray[l][n].FAffs_E[s]->delta_g_tm1 = 1.0;
}
}
}
}
break;
}
case MaintainSum: // Maintain sum of weights
{
for (l=1; l<mp->nLayers; l++)
{
for (n=0; n<mp->vExcit[l]; n++)
{
sum = 0.0;
for (s=0; s<narray[l][n].nFAff_E; s++)
{
sum += narray[l][n].FAffs_E[s]->delta_g_tm1; // tm1 since normalisation comes after solution vars are copied
}
if (sum) // Do not divide by 0!
{
sf = narray[l][n].nFAff_E / (2 * sum);
for (s=0; s<narray[l][n].nFAff_E; s++)
{
narray[l][n].FAffs_E[s]->delta_g_tm1 *= sf;
if (narray[l][n].FAffs_E[s]->delta_g_tm1 < 0.0)
narray[l][n].FAffs_E[s]->delta_g_tm1 = 0.0;
if (narray[l][n].FAffs_E[s]->delta_g_tm1 > 1.0)
narray[l][n].FAffs_E[s]->delta_g_tm1 = 1.0;
}
}
}
}
break;
}
default:
{
printf("Unknown normalisation mode.\n");
return 1;
break;
}
}
return 0;
}
inline void init_queue(AXON *a)
{
int bin;
a->next = 0;
a->last = a->nBins-1;
a->count = 0;
for (bin=0; bin<a->nBins; bin++)
a->queue[bin] = -BIG;
return; // Necessary?
}
inline void enqueue(AXON *a, tstep t)
{
#ifndef __llvm__
assert(a->count < a->nBins);
#else
#ifndef NDEBUG
if (a->count >= a->nBins)
exit_error("enqueue", "Queue full");
#endif
#endif
a->last = (a->last+1) % a->nBins;
a->queue[ a->last ] = t + a->delay;
a->count++;
return; //a->count++;
}
inline int dequeue(AXON *a)
{
int t;
#ifndef __llvm__
assert(a->count > 0);
#else
#ifndef NDEBUG
if (a->count <= 0) // isempty(a)
exit_error("dequeue", "Queue empty");
#endif
#endif
t = a->queue[ a->next ];
a->next = (a->next+1) % a->nBins;
a->count--;
return(t);
}
inline int next_spike(AXON * a)
{
return a->queue[a->next];
}
inline bool isempty(AXON *a)
{
return (a->count == 0) ? true : false; // Originally <=
}
inline int print_queue(AXON *a)
{
int i = a->next;
while (i != a->last)
{
printf("%d ",a->queue[i]); // Was %c
i = (i+1) % a->nBins;
}
printf("%d ",a->queue[i]);
printf("\n");
return a->count;
}
|
tree-pretty-print.c | /* Pretty formatting of GENERIC trees in C syntax.
Copyright (C) 2001-2015 Free Software Foundation, Inc.
Adapted from c-pretty-print.c by Diego Novillo <dnovillo@redhat.com>
This file is part of GCC.
GCC is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation; either version 3, or (at your option) any later
version.
GCC is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.
You should have received a copy of the GNU General Public License
along with GCC; see the file COPYING3. If not see
<http://www.gnu.org/licenses/>. */
#include "config.h"
#include "system.h"
#include "coretypes.h"
#include "tm.h"
#include "hash-set.h"
#include "machmode.h"
#include "vec.h"
#include "double-int.h"
#include "input.h"
#include "alias.h"
#include "symtab.h"
#include "wide-int.h"
#include "inchash.h"
#include "tree.h"
#include "stor-layout.h"
#include "hashtab.h"
#include "hard-reg-set.h"
#include "function.h"
#include "rtl.h"
#include "flags.h"
#include "statistics.h"
#include "real.h"
#include "fixed-value.h"
#include "insn-config.h"
#include "expmed.h"
#include "dojump.h"
#include "explow.h"
#include "calls.h"
#include "emit-rtl.h"
#include "varasm.h"
#include "stmt.h"
#include "expr.h"
#include "tree-pretty-print.h"
#include "gimple-expr.h"
#include "predict.h"
#include "hash-map.h"
#include "is-a.h"
#include "plugin-api.h"
#include "ipa-ref.h"
#include "cgraph.h"
#include "langhooks.h"
#include "tree-iterator.h"
#include "tree-chrec.h"
#include "dumpfile.h"
#include "value-prof.h"
#include "wide-int-print.h"
#include "internal-fn.h"
#include "gomp-constants.h"
/* Local functions, macros and variables. */
static const char *op_symbol (const_tree);
static void pretty_print_string (pretty_printer *, const char*);
static void newline_and_indent (pretty_printer *, int);
static void maybe_init_pretty_print (FILE *);
static void print_struct_decl (pretty_printer *, const_tree, int, int);
static void do_niy (pretty_printer *, const_tree);
#define INDENT(SPACE) do { \
int i; for (i = 0; i<SPACE; i++) pp_space (pp); } while (0)
#define NIY do_niy (pp, node)
static pretty_printer *tree_pp;
/* Try to print something for an unknown tree code. */
static void
do_niy (pretty_printer *pp, const_tree node)
{
int i, len;
pp_string (pp, "<<< Unknown tree: ");
pp_string (pp, get_tree_code_name (TREE_CODE (node)));
if (EXPR_P (node))
{
len = TREE_OPERAND_LENGTH (node);
for (i = 0; i < len; ++i)
{
newline_and_indent (pp, 2);
dump_generic_node (pp, TREE_OPERAND (node, i), 2, 0, false);
}
}
pp_string (pp, " >>>");
}
/* Debugging function to print out a generic expression. */
DEBUG_FUNCTION void
debug_generic_expr (tree t)
{
print_generic_expr (stderr, t, TDF_VOPS|TDF_MEMSYMS);
fprintf (stderr, "\n");
}
/* Debugging function to print out a generic statement. */
DEBUG_FUNCTION void
debug_generic_stmt (tree t)
{
print_generic_stmt (stderr, t, TDF_VOPS|TDF_MEMSYMS);
fprintf (stderr, "\n");
}
/* Debugging function to print out a chain of trees . */
DEBUG_FUNCTION void
debug_tree_chain (tree t)
{
hash_set<tree> seen;
while (t)
{
print_generic_expr (stderr, t, TDF_VOPS|TDF_MEMSYMS|TDF_UID);
fprintf (stderr, " ");
t = TREE_CHAIN (t);
if (seen.add (t))
{
fprintf (stderr, "... [cycled back to ");
print_generic_expr (stderr, t, TDF_VOPS|TDF_MEMSYMS|TDF_UID);
fprintf (stderr, "]");
break;
}
}
fprintf (stderr, "\n");
}
/* Prints declaration DECL to the FILE with details specified by FLAGS. */
void
print_generic_decl (FILE *file, tree decl, int flags)
{
maybe_init_pretty_print (file);
print_declaration (tree_pp, decl, 2, flags);
pp_write_text_to_stream (tree_pp);
}
/* Print tree T, and its successors, on file FILE. FLAGS specifies details
to show in the dump. See TDF_* in dumpfile.h. */
void
print_generic_stmt (FILE *file, tree t, int flags)
{
maybe_init_pretty_print (file);
dump_generic_node (tree_pp, t, 0, flags, true);
pp_newline_and_flush (tree_pp);
}
/* Print tree T, and its successors, on file FILE. FLAGS specifies details
to show in the dump. See TDF_* in dumpfile.h. The output is indented by
INDENT spaces. */
void
print_generic_stmt_indented (FILE *file, tree t, int flags, int indent)
{
int i;
maybe_init_pretty_print (file);
for (i = 0; i < indent; i++)
pp_space (tree_pp);
dump_generic_node (tree_pp, t, indent, flags, true);
pp_newline_and_flush (tree_pp);
}
/* Print a single expression T on file FILE. FLAGS specifies details to show
in the dump. See TDF_* in dumpfile.h. */
void
print_generic_expr (FILE *file, tree t, int flags)
{
maybe_init_pretty_print (file);
dump_generic_node (tree_pp, t, 0, flags, false);
pp_flush (tree_pp);
}
/* Dump the name of a _DECL node and its DECL_UID if TDF_UID is set
in FLAGS. */
static void
dump_decl_name (pretty_printer *pp, tree node, int flags)
{
if (DECL_NAME (node))
{
if ((flags & TDF_ASMNAME) && DECL_ASSEMBLER_NAME_SET_P (node))
pp_tree_identifier (pp, DECL_ASSEMBLER_NAME (node));
else
pp_tree_identifier (pp, DECL_NAME (node));
}
if ((flags & TDF_UID) || DECL_NAME (node) == NULL_TREE)
{
if (TREE_CODE (node) == LABEL_DECL && LABEL_DECL_UID (node) != -1)
pp_printf (pp, "L.%d", (int) LABEL_DECL_UID (node));
else if (TREE_CODE (node) == DEBUG_EXPR_DECL)
{
if (flags & TDF_NOUID)
pp_string (pp, "D#xxxx");
else
pp_printf (pp, "D#%i", DEBUG_TEMP_UID (node));
}
else
{
char c = TREE_CODE (node) == CONST_DECL ? 'C' : 'D';
if (flags & TDF_NOUID)
pp_printf (pp, "%c.xxxx", c);
else
pp_printf (pp, "%c.%u", c, DECL_UID (node));
}
}
if ((flags & TDF_ALIAS) && DECL_PT_UID (node) != DECL_UID (node))
{
if (flags & TDF_NOUID)
pp_printf (pp, "ptD.xxxx");
else
pp_printf (pp, "ptD.%u", DECL_PT_UID (node));
}
}
/* Like the above, but used for pretty printing function calls. */
static void
dump_function_name (pretty_printer *pp, tree node, int flags)
{
if (CONVERT_EXPR_P (node))
node = TREE_OPERAND (node, 0);
if (DECL_NAME (node) && (flags & TDF_ASMNAME) == 0)
pp_string (pp, lang_hooks.decl_printable_name (node, 1));
else
dump_decl_name (pp, node, flags);
}
/* Dump a function declaration. NODE is the FUNCTION_TYPE. PP, SPC and
FLAGS are as in dump_generic_node. */
static void
dump_function_declaration (pretty_printer *pp, tree node,
int spc, int flags)
{
bool wrote_arg = false;
tree arg;
pp_space (pp);
pp_left_paren (pp);
/* Print the argument types. */
arg = TYPE_ARG_TYPES (node);
while (arg && arg != void_list_node && arg != error_mark_node)
{
if (wrote_arg)
{
pp_comma (pp);
pp_space (pp);
}
wrote_arg = true;
dump_generic_node (pp, TREE_VALUE (arg), spc, flags, false);
arg = TREE_CHAIN (arg);
}
/* Drop the trailing void_type_node if we had any previous argument. */
if (arg == void_list_node && !wrote_arg)
pp_string (pp, "void");
/* Properly dump vararg function types. */
else if (!arg && wrote_arg)
pp_string (pp, ", ...");
/* Avoid printing any arg for unprototyped functions. */
pp_right_paren (pp);
}
/* Dump the domain associated with an array. */
static void
dump_array_domain (pretty_printer *pp, tree domain, int spc, int flags)
{
pp_left_bracket (pp);
if (domain)
{
tree min = TYPE_MIN_VALUE (domain);
tree max = TYPE_MAX_VALUE (domain);
if (min && max
&& integer_zerop (min)
&& tree_fits_shwi_p (max))
pp_wide_integer (pp, tree_to_shwi (max) + 1);
else
{
if (min)
dump_generic_node (pp, min, spc, flags, false);
pp_colon (pp);
if (max)
dump_generic_node (pp, max, spc, flags, false);
}
}
else
pp_string (pp, "<unknown>");
pp_right_bracket (pp);
}
/* Dump OpenMP clause CLAUSE. PP, CLAUSE, SPC and FLAGS are as in
dump_generic_node. */
static void
dump_omp_clause (pretty_printer *pp, tree clause, int spc, int flags)
{
const char *name;
switch (OMP_CLAUSE_CODE (clause))
{
case OMP_CLAUSE_PRIVATE:
name = "private";
goto print_remap;
case OMP_CLAUSE_SHARED:
name = "shared";
goto print_remap;
case OMP_CLAUSE_FIRSTPRIVATE:
name = "firstprivate";
goto print_remap;
case OMP_CLAUSE_LASTPRIVATE:
name = "lastprivate";
goto print_remap;
case OMP_CLAUSE_COPYIN:
name = "copyin";
goto print_remap;
case OMP_CLAUSE_COPYPRIVATE:
name = "copyprivate";
goto print_remap;
case OMP_CLAUSE_UNIFORM:
name = "uniform";
goto print_remap;
case OMP_CLAUSE__LOOPTEMP_:
name = "_looptemp_";
goto print_remap;
case OMP_CLAUSE_DEVICE_RESIDENT:
name = "device_resident";
goto print_remap;
case OMP_CLAUSE_USE_DEVICE:
name = "use_device";
goto print_remap;
print_remap:
pp_string (pp, name);
pp_left_paren (pp);
dump_generic_node (pp, OMP_CLAUSE_DECL (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_REDUCTION:
pp_string (pp, "reduction(");
if (OMP_CLAUSE_REDUCTION_CODE (clause) != ERROR_MARK)
{
pp_string (pp,
op_symbol_code (OMP_CLAUSE_REDUCTION_CODE (clause)));
pp_colon (pp);
}
dump_generic_node (pp, OMP_CLAUSE_DECL (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_IF:
pp_string (pp, "if(");
dump_generic_node (pp, OMP_CLAUSE_IF_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_NUM_THREADS:
pp_string (pp, "num_threads(");
dump_generic_node (pp, OMP_CLAUSE_NUM_THREADS_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE__CILK_FOR_COUNT_:
pp_string (pp, "_Cilk_for_count_(");
dump_generic_node (pp, OMP_CLAUSE_OPERAND (clause, 0),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_NOWAIT:
pp_string (pp, "nowait");
break;
case OMP_CLAUSE_ORDERED:
pp_string (pp, "ordered");
break;
case OMP_CLAUSE_DEFAULT:
pp_string (pp, "default(");
switch (OMP_CLAUSE_DEFAULT_KIND (clause))
{
case OMP_CLAUSE_DEFAULT_UNSPECIFIED:
break;
case OMP_CLAUSE_DEFAULT_SHARED:
pp_string (pp, "shared");
break;
case OMP_CLAUSE_DEFAULT_NONE:
pp_string (pp, "none");
break;
case OMP_CLAUSE_DEFAULT_PRIVATE:
pp_string (pp, "private");
break;
case OMP_CLAUSE_DEFAULT_FIRSTPRIVATE:
pp_string (pp, "firstprivate");
break;
default:
gcc_unreachable ();
}
pp_right_paren (pp);
break;
case OMP_CLAUSE_SCHEDULE:
pp_string (pp, "schedule(");
switch (OMP_CLAUSE_SCHEDULE_KIND (clause))
{
case OMP_CLAUSE_SCHEDULE_STATIC:
pp_string (pp, "static");
break;
case OMP_CLAUSE_SCHEDULE_DYNAMIC:
pp_string (pp, "dynamic");
break;
case OMP_CLAUSE_SCHEDULE_GUIDED:
pp_string (pp, "guided");
break;
case OMP_CLAUSE_SCHEDULE_RUNTIME:
pp_string (pp, "runtime");
break;
case OMP_CLAUSE_SCHEDULE_AUTO:
pp_string (pp, "auto");
break;
case OMP_CLAUSE_SCHEDULE_CILKFOR:
pp_string (pp, "cilk-for grain");
break;
default:
gcc_unreachable ();
}
if (OMP_CLAUSE_SCHEDULE_CHUNK_EXPR (clause))
{
pp_comma (pp);
dump_generic_node (pp, OMP_CLAUSE_SCHEDULE_CHUNK_EXPR (clause),
spc, flags, false);
}
pp_right_paren (pp);
break;
case OMP_CLAUSE_UNTIED:
pp_string (pp, "untied");
break;
case OMP_CLAUSE_COLLAPSE:
pp_string (pp, "collapse(");
dump_generic_node (pp, OMP_CLAUSE_COLLAPSE_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_FINAL:
pp_string (pp, "final(");
dump_generic_node (pp, OMP_CLAUSE_FINAL_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_MERGEABLE:
pp_string (pp, "mergeable");
break;
case OMP_CLAUSE_LINEAR:
pp_string (pp, "linear(");
dump_generic_node (pp, OMP_CLAUSE_DECL (clause),
spc, flags, false);
pp_colon (pp);
dump_generic_node (pp, OMP_CLAUSE_LINEAR_STEP (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_ALIGNED:
pp_string (pp, "aligned(");
dump_generic_node (pp, OMP_CLAUSE_DECL (clause),
spc, flags, false);
if (OMP_CLAUSE_ALIGNED_ALIGNMENT (clause))
{
pp_colon (pp);
dump_generic_node (pp, OMP_CLAUSE_ALIGNED_ALIGNMENT (clause),
spc, flags, false);
}
pp_right_paren (pp);
break;
case OMP_CLAUSE_DEPEND:
pp_string (pp, "depend(");
switch (OMP_CLAUSE_DEPEND_KIND (clause))
{
case OMP_CLAUSE_DEPEND_IN:
pp_string (pp, "in");
break;
case OMP_CLAUSE_DEPEND_OUT:
pp_string (pp, "out");
break;
case OMP_CLAUSE_DEPEND_INOUT:
pp_string (pp, "inout");
break;
default:
gcc_unreachable ();
}
pp_colon (pp);
dump_generic_node (pp, OMP_CLAUSE_DECL (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_MAP:
pp_string (pp, "map(");
switch (OMP_CLAUSE_MAP_KIND (clause))
{
case GOMP_MAP_ALLOC:
case GOMP_MAP_POINTER:
pp_string (pp, "alloc");
break;
case GOMP_MAP_TO:
case GOMP_MAP_TO_PSET:
pp_string (pp, "to");
break;
case GOMP_MAP_FROM:
pp_string (pp, "from");
break;
case GOMP_MAP_TOFROM:
pp_string (pp, "tofrom");
break;
case GOMP_MAP_FORCE_ALLOC:
pp_string (pp, "force_alloc");
break;
case GOMP_MAP_FORCE_TO:
pp_string (pp, "force_to");
break;
case GOMP_MAP_FORCE_FROM:
pp_string (pp, "force_from");
break;
case GOMP_MAP_FORCE_TOFROM:
pp_string (pp, "force_tofrom");
break;
case GOMP_MAP_FORCE_PRESENT:
pp_string (pp, "force_present");
break;
case GOMP_MAP_FORCE_DEALLOC:
pp_string (pp, "force_dealloc");
break;
case GOMP_MAP_FORCE_DEVICEPTR:
pp_string (pp, "force_deviceptr");
break;
default:
gcc_unreachable ();
}
pp_colon (pp);
dump_generic_node (pp, OMP_CLAUSE_DECL (clause),
spc, flags, false);
print_clause_size:
if (OMP_CLAUSE_SIZE (clause))
{
if (OMP_CLAUSE_CODE (clause) == OMP_CLAUSE_MAP
&& OMP_CLAUSE_MAP_KIND (clause) == GOMP_MAP_POINTER)
pp_string (pp, " [pointer assign, bias: ");
else if (OMP_CLAUSE_CODE (clause) == OMP_CLAUSE_MAP
&& OMP_CLAUSE_MAP_KIND (clause) == GOMP_MAP_TO_PSET)
pp_string (pp, " [pointer set, len: ");
else
pp_string (pp, " [len: ");
dump_generic_node (pp, OMP_CLAUSE_SIZE (clause),
spc, flags, false);
pp_right_bracket (pp);
}
pp_right_paren (pp);
break;
case OMP_CLAUSE_FROM:
pp_string (pp, "from(");
dump_generic_node (pp, OMP_CLAUSE_DECL (clause),
spc, flags, false);
goto print_clause_size;
case OMP_CLAUSE_TO:
pp_string (pp, "to(");
dump_generic_node (pp, OMP_CLAUSE_DECL (clause),
spc, flags, false);
goto print_clause_size;
case OMP_CLAUSE__CACHE_:
pp_string (pp, "(");
dump_generic_node (pp, OMP_CLAUSE_DECL (clause),
spc, flags, false);
goto print_clause_size;
case OMP_CLAUSE_NUM_TEAMS:
pp_string (pp, "num_teams(");
dump_generic_node (pp, OMP_CLAUSE_NUM_TEAMS_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_THREAD_LIMIT:
pp_string (pp, "thread_limit(");
dump_generic_node (pp, OMP_CLAUSE_THREAD_LIMIT_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_DEVICE:
pp_string (pp, "device(");
dump_generic_node (pp, OMP_CLAUSE_DEVICE_ID (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_DIST_SCHEDULE:
pp_string (pp, "dist_schedule(static");
if (OMP_CLAUSE_DIST_SCHEDULE_CHUNK_EXPR (clause))
{
pp_comma (pp);
dump_generic_node (pp,
OMP_CLAUSE_DIST_SCHEDULE_CHUNK_EXPR (clause),
spc, flags, false);
}
pp_right_paren (pp);
break;
case OMP_CLAUSE_PROC_BIND:
pp_string (pp, "proc_bind(");
switch (OMP_CLAUSE_PROC_BIND_KIND (clause))
{
case OMP_CLAUSE_PROC_BIND_MASTER:
pp_string (pp, "master");
break;
case OMP_CLAUSE_PROC_BIND_CLOSE:
pp_string (pp, "close");
break;
case OMP_CLAUSE_PROC_BIND_SPREAD:
pp_string (pp, "spread");
break;
default:
gcc_unreachable ();
}
pp_right_paren (pp);
break;
case OMP_CLAUSE_SAFELEN:
pp_string (pp, "safelen(");
dump_generic_node (pp, OMP_CLAUSE_SAFELEN_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_SIMDLEN:
pp_string (pp, "simdlen(");
dump_generic_node (pp, OMP_CLAUSE_SIMDLEN_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE__SIMDUID_:
pp_string (pp, "_simduid_(");
dump_generic_node (pp, OMP_CLAUSE__SIMDUID__DECL (clause),
spc, flags, false);
pp_right_paren (pp);
break;
case OMP_CLAUSE_GANG:
pp_string (pp, "gang");
if (OMP_CLAUSE_GANG_EXPR (clause) != NULL_TREE)
{
pp_string (pp, "(num: ");
dump_generic_node (pp, OMP_CLAUSE_GANG_EXPR (clause),
spc, flags, false);
}
if (OMP_CLAUSE_GANG_STATIC_EXPR (clause) != NULL_TREE)
{
if (OMP_CLAUSE_GANG_EXPR (clause) == NULL_TREE)
pp_left_paren (pp);
else
pp_space (pp);
pp_string (pp, "static:");
if (OMP_CLAUSE_GANG_STATIC_EXPR (clause)
== integer_minus_one_node)
pp_character (pp, '*');
else
dump_generic_node (pp, OMP_CLAUSE_GANG_STATIC_EXPR (clause),
spc, flags, false);
}
if (OMP_CLAUSE_GANG_EXPR (clause) != NULL_TREE
|| OMP_CLAUSE_GANG_STATIC_EXPR (clause) != NULL_TREE)
pp_right_paren (pp);
break;
case OMP_CLAUSE_ASYNC:
pp_string (pp, "async");
if (OMP_CLAUSE_ASYNC_EXPR (clause))
{
pp_character(pp, '(');
dump_generic_node (pp, OMP_CLAUSE_ASYNC_EXPR (clause),
spc, flags, false);
pp_character(pp, ')');
}
break;
case OMP_CLAUSE_AUTO:
case OMP_CLAUSE_SEQ:
pp_string (pp, omp_clause_code_name[OMP_CLAUSE_CODE (clause)]);
break;
case OMP_CLAUSE_WAIT:
pp_string (pp, "wait(");
dump_generic_node (pp, OMP_CLAUSE_WAIT_EXPR (clause),
spc, flags, false);
pp_character(pp, ')');
break;
case OMP_CLAUSE_WORKER:
pp_string (pp, "worker");
if (OMP_CLAUSE_WORKER_EXPR (clause) != NULL_TREE)
{
pp_left_paren (pp);
dump_generic_node (pp, OMP_CLAUSE_WORKER_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
}
break;
case OMP_CLAUSE_VECTOR:
pp_string (pp, "vector");
if (OMP_CLAUSE_VECTOR_EXPR (clause) != NULL_TREE)
{
pp_left_paren (pp);
dump_generic_node (pp, OMP_CLAUSE_VECTOR_EXPR (clause),
spc, flags, false);
pp_right_paren (pp);
}
break;
case OMP_CLAUSE_NUM_GANGS:
pp_string (pp, "num_gangs(");
dump_generic_node (pp, OMP_CLAUSE_NUM_GANGS_EXPR (clause),
spc, flags, false);
pp_character (pp, ')');
break;
case OMP_CLAUSE_NUM_WORKERS:
pp_string (pp, "num_workers(");
dump_generic_node (pp, OMP_CLAUSE_NUM_WORKERS_EXPR (clause),
spc, flags, false);
pp_character (pp, ')');
break;
case OMP_CLAUSE_VECTOR_LENGTH:
pp_string (pp, "vector_length(");
dump_generic_node (pp, OMP_CLAUSE_VECTOR_LENGTH_EXPR (clause),
spc, flags, false);
pp_character (pp, ')');
break;
case OMP_CLAUSE_INBRANCH:
pp_string (pp, "inbranch");
break;
case OMP_CLAUSE_NOTINBRANCH:
pp_string (pp, "notinbranch");
break;
case OMP_CLAUSE_FOR:
pp_string (pp, "for");
break;
case OMP_CLAUSE_PARALLEL:
pp_string (pp, "parallel");
break;
case OMP_CLAUSE_SECTIONS:
pp_string (pp, "sections");
break;
case OMP_CLAUSE_TASKGROUP:
pp_string (pp, "taskgroup");
break;
case OMP_CLAUSE_INDEPENDENT:
pp_string (pp, "independent");
break;
default:
/* Should never happen. */
dump_generic_node (pp, clause, spc, flags, false);
break;
}
}
/* Dump the list of OpenMP clauses. PP, SPC and FLAGS are as in
dump_generic_node. */
void
dump_omp_clauses (pretty_printer *pp, tree clause, int spc, int flags)
{
if (clause == NULL)
return;
pp_space (pp);
while (1)
{
dump_omp_clause (pp, clause, spc, flags);
clause = OMP_CLAUSE_CHAIN (clause);
if (clause == NULL)
return;
pp_space (pp);
}
}
/* Dump location LOC to PP. */
void
dump_location (pretty_printer *pp, location_t loc)
{
expanded_location xloc = expand_location (loc);
pp_left_bracket (pp);
if (xloc.file)
{
pp_string (pp, xloc.file);
pp_string (pp, ":");
}
pp_decimal_int (pp, xloc.line);
pp_colon (pp);
pp_decimal_int (pp, xloc.column);
pp_string (pp, "] ");
}
/* Dump lexical block BLOCK. PP, SPC and FLAGS are as in
dump_generic_node. */
static void
dump_block_node (pretty_printer *pp, tree block, int spc, int flags)
{
tree t;
pp_printf (pp, "BLOCK #%d ", BLOCK_NUMBER (block));
if (flags & TDF_ADDRESS)
pp_printf (pp, "[%p] ", (void *) block);
if (BLOCK_ABSTRACT (block))
pp_string (pp, "[abstract] ");
if (TREE_ASM_WRITTEN (block))
pp_string (pp, "[written] ");
if (flags & TDF_SLIM)
return;
if (BLOCK_SOURCE_LOCATION (block))
dump_location (pp, BLOCK_SOURCE_LOCATION (block));
newline_and_indent (pp, spc + 2);
if (BLOCK_SUPERCONTEXT (block))
{
pp_string (pp, "SUPERCONTEXT: ");
dump_generic_node (pp, BLOCK_SUPERCONTEXT (block), 0,
flags | TDF_SLIM, false);
newline_and_indent (pp, spc + 2);
}
if (BLOCK_SUBBLOCKS (block))
{
pp_string (pp, "SUBBLOCKS: ");
for (t = BLOCK_SUBBLOCKS (block); t; t = BLOCK_CHAIN (t))
{
dump_generic_node (pp, t, 0, flags | TDF_SLIM, false);
pp_space (pp);
}
newline_and_indent (pp, spc + 2);
}
if (BLOCK_CHAIN (block))
{
pp_string (pp, "SIBLINGS: ");
for (t = BLOCK_CHAIN (block); t; t = BLOCK_CHAIN (t))
{
dump_generic_node (pp, t, 0, flags | TDF_SLIM, false);
pp_space (pp);
}
newline_and_indent (pp, spc + 2);
}
if (BLOCK_VARS (block))
{
pp_string (pp, "VARS: ");
for (t = BLOCK_VARS (block); t; t = TREE_CHAIN (t))
{
dump_generic_node (pp, t, 0, flags, false);
pp_space (pp);
}
newline_and_indent (pp, spc + 2);
}
if (vec_safe_length (BLOCK_NONLOCALIZED_VARS (block)) > 0)
{
unsigned i;
vec<tree, va_gc> *nlv = BLOCK_NONLOCALIZED_VARS (block);
pp_string (pp, "NONLOCALIZED_VARS: ");
FOR_EACH_VEC_ELT (*nlv, i, t)
{
dump_generic_node (pp, t, 0, flags, false);
pp_space (pp);
}
newline_and_indent (pp, spc + 2);
}
if (BLOCK_ABSTRACT_ORIGIN (block))
{
pp_string (pp, "ABSTRACT_ORIGIN: ");
dump_generic_node (pp, BLOCK_ABSTRACT_ORIGIN (block), 0,
flags | TDF_SLIM, false);
newline_and_indent (pp, spc + 2);
}
if (BLOCK_FRAGMENT_ORIGIN (block))
{
pp_string (pp, "FRAGMENT_ORIGIN: ");
dump_generic_node (pp, BLOCK_FRAGMENT_ORIGIN (block), 0,
flags | TDF_SLIM, false);
newline_and_indent (pp, spc + 2);
}
if (BLOCK_FRAGMENT_CHAIN (block))
{
pp_string (pp, "FRAGMENT_CHAIN: ");
for (t = BLOCK_FRAGMENT_CHAIN (block); t; t = BLOCK_FRAGMENT_CHAIN (t))
{
dump_generic_node (pp, t, 0, flags | TDF_SLIM, false);
pp_space (pp);
}
newline_and_indent (pp, spc + 2);
}
}
/* Dump the node NODE on the pretty_printer PP, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
dumpfile.h). If IS_STMT is true, the object printed is considered
to be a statement and it is terminated by ';' if appropriate. */
int
dump_generic_node (pretty_printer *pp, tree node, int spc, int flags,
bool is_stmt)
{
tree type;
tree op0, op1;
const char *str;
bool is_expr;
enum tree_code code;
if (node == NULL_TREE)
return spc;
is_expr = EXPR_P (node);
if (is_stmt && (flags & TDF_STMTADDR))
pp_printf (pp, "<&%p> ", (void *)node);
if ((flags & TDF_LINENO) && EXPR_HAS_LOCATION (node))
dump_location (pp, EXPR_LOCATION (node));
code = TREE_CODE (node);
switch (code)
{
case ERROR_MARK:
pp_string (pp, "<<< error >>>");
break;
case IDENTIFIER_NODE:
pp_tree_identifier (pp, node);
break;
case TREE_LIST:
while (node && node != error_mark_node)
{
if (TREE_PURPOSE (node))
{
dump_generic_node (pp, TREE_PURPOSE (node), spc, flags, false);
pp_space (pp);
}
dump_generic_node (pp, TREE_VALUE (node), spc, flags, false);
node = TREE_CHAIN (node);
if (node && TREE_CODE (node) == TREE_LIST)
{
pp_comma (pp);
pp_space (pp);
}
}
break;
case TREE_BINFO:
dump_generic_node (pp, BINFO_TYPE (node), spc, flags, false);
break;
case TREE_VEC:
{
size_t i;
if (TREE_VEC_LENGTH (node) > 0)
{
size_t len = TREE_VEC_LENGTH (node);
for (i = 0; i < len - 1; i++)
{
dump_generic_node (pp, TREE_VEC_ELT (node, i), spc, flags,
false);
pp_comma (pp);
pp_space (pp);
}
dump_generic_node (pp, TREE_VEC_ELT (node, len - 1), spc,
flags, false);
}
}
break;
case VOID_TYPE:
case POINTER_BOUNDS_TYPE:
case INTEGER_TYPE:
case REAL_TYPE:
case FIXED_POINT_TYPE:
case COMPLEX_TYPE:
case VECTOR_TYPE:
case ENUMERAL_TYPE:
case BOOLEAN_TYPE:
{
unsigned int quals = TYPE_QUALS (node);
enum tree_code_class tclass;
if (quals & TYPE_QUAL_ATOMIC)
pp_string (pp, "atomic ");
if (quals & TYPE_QUAL_CONST)
pp_string (pp, "const ");
else if (quals & TYPE_QUAL_VOLATILE)
pp_string (pp, "volatile ");
else if (quals & TYPE_QUAL_RESTRICT)
pp_string (pp, "restrict ");
if (!ADDR_SPACE_GENERIC_P (TYPE_ADDR_SPACE (node)))
{
pp_string (pp, "<address-space-");
pp_decimal_int (pp, TYPE_ADDR_SPACE (node));
pp_string (pp, "> ");
}
tclass = TREE_CODE_CLASS (TREE_CODE (node));
if (tclass == tcc_declaration)
{
if (DECL_NAME (node))
dump_decl_name (pp, node, flags);
else
pp_string (pp, "<unnamed type decl>");
}
else if (tclass == tcc_type)
{
if (TYPE_NAME (node))
{
if (TREE_CODE (TYPE_NAME (node)) == IDENTIFIER_NODE)
pp_tree_identifier (pp, TYPE_NAME (node));
else if (TREE_CODE (TYPE_NAME (node)) == TYPE_DECL
&& DECL_NAME (TYPE_NAME (node)))
dump_decl_name (pp, TYPE_NAME (node), flags);
else
pp_string (pp, "<unnamed type>");
}
else if (TREE_CODE (node) == VECTOR_TYPE)
{
pp_string (pp, "vector");
pp_left_paren (pp);
pp_wide_integer (pp, TYPE_VECTOR_SUBPARTS (node));
pp_string (pp, ") ");
dump_generic_node (pp, TREE_TYPE (node), spc, flags, false);
}
else if (TREE_CODE (node) == INTEGER_TYPE)
{
if (TYPE_PRECISION (node) == CHAR_TYPE_SIZE)
pp_string (pp, (TYPE_UNSIGNED (node)
? "unsigned char"
: "signed char"));
else if (TYPE_PRECISION (node) == SHORT_TYPE_SIZE)
pp_string (pp, (TYPE_UNSIGNED (node)
? "unsigned short"
: "signed short"));
else if (TYPE_PRECISION (node) == INT_TYPE_SIZE)
pp_string (pp, (TYPE_UNSIGNED (node)
? "unsigned int"
: "signed int"));
else if (TYPE_PRECISION (node) == LONG_TYPE_SIZE)
pp_string (pp, (TYPE_UNSIGNED (node)
? "unsigned long"
: "signed long"));
else if (TYPE_PRECISION (node) == LONG_LONG_TYPE_SIZE)
pp_string (pp, (TYPE_UNSIGNED (node)
? "unsigned long long"
: "signed long long"));
else if (TYPE_PRECISION (node) >= CHAR_TYPE_SIZE
&& exact_log2 (TYPE_PRECISION (node)) != -1)
{
pp_string (pp, (TYPE_UNSIGNED (node) ? "uint" : "int"));
pp_decimal_int (pp, TYPE_PRECISION (node));
pp_string (pp, "_t");
}
else
{
pp_string (pp, (TYPE_UNSIGNED (node)
? "<unnamed-unsigned:"
: "<unnamed-signed:"));
pp_decimal_int (pp, TYPE_PRECISION (node));
pp_greater (pp);
}
}
else if (TREE_CODE (node) == COMPLEX_TYPE)
{
pp_string (pp, "__complex__ ");
dump_generic_node (pp, TREE_TYPE (node), spc, flags, false);
}
else if (TREE_CODE (node) == REAL_TYPE)
{
pp_string (pp, "<float:");
pp_decimal_int (pp, TYPE_PRECISION (node));
pp_greater (pp);
}
else if (TREE_CODE (node) == FIXED_POINT_TYPE)
{
pp_string (pp, "<fixed-point-");
pp_string (pp, TYPE_SATURATING (node) ? "sat:" : "nonsat:");
pp_decimal_int (pp, TYPE_PRECISION (node));
pp_greater (pp);
}
else if (TREE_CODE (node) == VOID_TYPE)
pp_string (pp, "void");
else
pp_string (pp, "<unnamed type>");
}
break;
}
case POINTER_TYPE:
case REFERENCE_TYPE:
str = (TREE_CODE (node) == POINTER_TYPE ? "*" : "&");
if (TREE_TYPE (node) == NULL)
{
pp_string (pp, str);
pp_string (pp, "<null type>");
}
else if (TREE_CODE (TREE_TYPE (node)) == FUNCTION_TYPE)
{
tree fnode = TREE_TYPE (node);
dump_generic_node (pp, TREE_TYPE (fnode), spc, flags, false);
pp_space (pp);
pp_left_paren (pp);
pp_string (pp, str);
if (TYPE_NAME (node) && DECL_NAME (TYPE_NAME (node)))
dump_decl_name (pp, TYPE_NAME (node), flags);
else if (flags & TDF_NOUID)
pp_printf (pp, "<Txxxx>");
else
pp_printf (pp, "<T%x>", TYPE_UID (node));
pp_right_paren (pp);
dump_function_declaration (pp, fnode, spc, flags);
}
else
{
unsigned int quals = TYPE_QUALS (node);
dump_generic_node (pp, TREE_TYPE (node), spc, flags, false);
pp_space (pp);
pp_string (pp, str);
if (quals & TYPE_QUAL_CONST)
pp_string (pp, " const");
if (quals & TYPE_QUAL_VOLATILE)
pp_string (pp, " volatile");
if (quals & TYPE_QUAL_RESTRICT)
pp_string (pp, " restrict");
if (!ADDR_SPACE_GENERIC_P (TYPE_ADDR_SPACE (node)))
{
pp_string (pp, " <address-space-");
pp_decimal_int (pp, TYPE_ADDR_SPACE (node));
pp_greater (pp);
}
if (TYPE_REF_CAN_ALIAS_ALL (node))
pp_string (pp, " {ref-all}");
}
break;
case OFFSET_TYPE:
NIY;
break;
case MEM_REF:
{
if (integer_zerop (TREE_OPERAND (node, 1))
/* Dump the types of INTEGER_CSTs explicitly, for we can't
infer them and MEM_ATTR caching will share MEM_REFs
with differently-typed op0s. */
&& TREE_CODE (TREE_OPERAND (node, 0)) != INTEGER_CST
/* Released SSA_NAMES have no TREE_TYPE. */
&& TREE_TYPE (TREE_OPERAND (node, 0)) != NULL_TREE
/* Same pointer types, but ignoring POINTER_TYPE vs.
REFERENCE_TYPE. */
&& (TREE_TYPE (TREE_TYPE (TREE_OPERAND (node, 0)))
== TREE_TYPE (TREE_TYPE (TREE_OPERAND (node, 1))))
&& (TYPE_MODE (TREE_TYPE (TREE_OPERAND (node, 0)))
== TYPE_MODE (TREE_TYPE (TREE_OPERAND (node, 1))))
&& (TYPE_REF_CAN_ALIAS_ALL (TREE_TYPE (TREE_OPERAND (node, 0)))
== TYPE_REF_CAN_ALIAS_ALL (TREE_TYPE (TREE_OPERAND (node, 1))))
/* Same value types ignoring qualifiers. */
&& (TYPE_MAIN_VARIANT (TREE_TYPE (node))
== TYPE_MAIN_VARIANT
(TREE_TYPE (TREE_TYPE (TREE_OPERAND (node, 1)))))
&& (!(flags & TDF_ALIAS)
|| MR_DEPENDENCE_CLIQUE (node) == 0))
{
if (TREE_CODE (TREE_OPERAND (node, 0)) != ADDR_EXPR)
{
pp_star (pp);
dump_generic_node (pp, TREE_OPERAND (node, 0),
spc, flags, false);
}
else
dump_generic_node (pp,
TREE_OPERAND (TREE_OPERAND (node, 0), 0),
spc, flags, false);
}
else
{
tree ptype;
pp_string (pp, "MEM[");
pp_left_paren (pp);
ptype = TYPE_MAIN_VARIANT (TREE_TYPE (TREE_OPERAND (node, 1)));
dump_generic_node (pp, ptype,
spc, flags | TDF_SLIM, false);
pp_right_paren (pp);
dump_generic_node (pp, TREE_OPERAND (node, 0),
spc, flags, false);
if (!integer_zerop (TREE_OPERAND (node, 1)))
{
pp_string (pp, " + ");
dump_generic_node (pp, TREE_OPERAND (node, 1),
spc, flags, false);
}
if ((flags & TDF_ALIAS)
&& MR_DEPENDENCE_CLIQUE (node) != 0)
{
pp_string (pp, " clique ");
pp_unsigned_wide_integer (pp, MR_DEPENDENCE_CLIQUE (node));
pp_string (pp, " base ");
pp_unsigned_wide_integer (pp, MR_DEPENDENCE_BASE (node));
}
pp_right_bracket (pp);
}
break;
}
case TARGET_MEM_REF:
{
const char *sep = "";
tree tmp;
pp_string (pp, "MEM[");
if (TREE_CODE (TMR_BASE (node)) == ADDR_EXPR)
{
pp_string (pp, sep);
sep = ", ";
pp_string (pp, "symbol: ");
dump_generic_node (pp, TREE_OPERAND (TMR_BASE (node), 0),
spc, flags, false);
}
else
{
pp_string (pp, sep);
sep = ", ";
pp_string (pp, "base: ");
dump_generic_node (pp, TMR_BASE (node), spc, flags, false);
}
tmp = TMR_INDEX2 (node);
if (tmp)
{
pp_string (pp, sep);
sep = ", ";
pp_string (pp, "base: ");
dump_generic_node (pp, tmp, spc, flags, false);
}
tmp = TMR_INDEX (node);
if (tmp)
{
pp_string (pp, sep);
sep = ", ";
pp_string (pp, "index: ");
dump_generic_node (pp, tmp, spc, flags, false);
}
tmp = TMR_STEP (node);
if (tmp)
{
pp_string (pp, sep);
sep = ", ";
pp_string (pp, "step: ");
dump_generic_node (pp, tmp, spc, flags, false);
}
tmp = TMR_OFFSET (node);
if (tmp)
{
pp_string (pp, sep);
sep = ", ";
pp_string (pp, "offset: ");
dump_generic_node (pp, tmp, spc, flags, false);
}
pp_right_bracket (pp);
}
break;
case ARRAY_TYPE:
{
tree tmp;
/* Print the innermost component type. */
for (tmp = TREE_TYPE (node); TREE_CODE (tmp) == ARRAY_TYPE;
tmp = TREE_TYPE (tmp))
;
dump_generic_node (pp, tmp, spc, flags, false);
/* Print the dimensions. */
for (tmp = node; TREE_CODE (tmp) == ARRAY_TYPE; tmp = TREE_TYPE (tmp))
dump_array_domain (pp, TYPE_DOMAIN (tmp), spc, flags);
break;
}
case RECORD_TYPE:
case UNION_TYPE:
case QUAL_UNION_TYPE:
{
unsigned int quals = TYPE_QUALS (node);
if (quals & TYPE_QUAL_ATOMIC)
pp_string (pp, "atomic ");
if (quals & TYPE_QUAL_CONST)
pp_string (pp, "const ");
if (quals & TYPE_QUAL_VOLATILE)
pp_string (pp, "volatile ");
/* Print the name of the structure. */
if (TREE_CODE (node) == RECORD_TYPE)
pp_string (pp, "struct ");
else if (TREE_CODE (node) == UNION_TYPE)
pp_string (pp, "union ");
if (TYPE_NAME (node))
dump_generic_node (pp, TYPE_NAME (node), spc, flags, false);
else if (!(flags & TDF_SLIM))
/* FIXME: If we eliminate the 'else' above and attempt
to show the fields for named types, we may get stuck
following a cycle of pointers to structs. The alleged
self-reference check in print_struct_decl will not detect
cycles involving more than one pointer or struct type. */
print_struct_decl (pp, node, spc, flags);
break;
}
case LANG_TYPE:
NIY;
break;
case INTEGER_CST:
if (TREE_CODE (TREE_TYPE (node)) == POINTER_TYPE)
{
/* In the case of a pointer, one may want to divide by the
size of the pointed-to type. Unfortunately, this not
straightforward. The C front-end maps expressions
(int *) 5
int *p; (p + 5)
in such a way that the two INTEGER_CST nodes for "5" have
different values but identical types. In the latter
case, the 5 is multiplied by sizeof (int) in c-common.c
(pointer_int_sum) to convert it to a byte address, and
yet the type of the node is left unchanged. Argh. What
is consistent though is that the number value corresponds
to bytes (UNITS) offset.
NB: Neither of the following divisors can be trivially
used to recover the original literal:
TREE_INT_CST_LOW (TYPE_SIZE_UNIT (TREE_TYPE (node)))
TYPE_PRECISION (TREE_TYPE (TREE_TYPE (node))) */
pp_wide_integer (pp, TREE_INT_CST_LOW (node));
pp_string (pp, "B"); /* pseudo-unit */
}
else if (tree_fits_shwi_p (node))
pp_wide_integer (pp, tree_to_shwi (node));
else if (tree_fits_uhwi_p (node))
pp_unsigned_wide_integer (pp, tree_to_uhwi (node));
else
{
wide_int val = node;
if (wi::neg_p (val, TYPE_SIGN (TREE_TYPE (node))))
{
pp_minus (pp);
val = -val;
}
print_hex (val, pp_buffer (pp)->digit_buffer);
pp_string (pp, pp_buffer (pp)->digit_buffer);
}
if (TREE_OVERFLOW (node))
pp_string (pp, "(OVF)");
break;
case REAL_CST:
/* Code copied from print_node. */
{
REAL_VALUE_TYPE d;
if (TREE_OVERFLOW (node))
pp_string (pp, " overflow");
#if !defined(REAL_IS_NOT_DOUBLE) || defined(REAL_ARITHMETIC)
d = TREE_REAL_CST (node);
if (REAL_VALUE_ISINF (d))
pp_string (pp, REAL_VALUE_NEGATIVE (d) ? " -Inf" : " Inf");
else if (REAL_VALUE_ISNAN (d))
pp_string (pp, " Nan");
else
{
char string[100];
real_to_decimal (string, &d, sizeof (string), 0, 1);
pp_string (pp, string);
}
#else
{
HOST_WIDE_INT i;
unsigned char *p = (unsigned char *) &TREE_REAL_CST (node);
pp_string (pp, "0x");
for (i = 0; i < sizeof TREE_REAL_CST (node); i++)
output_formatted_integer (pp, "%02x", *p++);
}
#endif
break;
}
case FIXED_CST:
{
char string[100];
fixed_to_decimal (string, TREE_FIXED_CST_PTR (node), sizeof (string));
pp_string (pp, string);
break;
}
case COMPLEX_CST:
pp_string (pp, "__complex__ (");
dump_generic_node (pp, TREE_REALPART (node), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_IMAGPART (node), spc, flags, false);
pp_right_paren (pp);
break;
case STRING_CST:
pp_string (pp, "\"");
pretty_print_string (pp, TREE_STRING_POINTER (node));
pp_string (pp, "\"");
break;
case VECTOR_CST:
{
unsigned i;
pp_string (pp, "{ ");
for (i = 0; i < VECTOR_CST_NELTS (node); ++i)
{
if (i != 0)
pp_string (pp, ", ");
dump_generic_node (pp, VECTOR_CST_ELT (node, i),
spc, flags, false);
}
pp_string (pp, " }");
}
break;
case FUNCTION_TYPE:
case METHOD_TYPE:
dump_generic_node (pp, TREE_TYPE (node), spc, flags, false);
pp_space (pp);
if (TREE_CODE (node) == METHOD_TYPE)
{
if (TYPE_METHOD_BASETYPE (node))
dump_decl_name (pp, TYPE_NAME (TYPE_METHOD_BASETYPE (node)),
flags);
else
pp_string (pp, "<null method basetype>");
pp_colon_colon (pp);
}
if (TYPE_NAME (node) && DECL_NAME (TYPE_NAME (node)))
dump_decl_name (pp, TYPE_NAME (node), flags);
else if (flags & TDF_NOUID)
pp_printf (pp, "<Txxxx>");
else
pp_printf (pp, "<T%x>", TYPE_UID (node));
dump_function_declaration (pp, node, spc, flags);
break;
case FUNCTION_DECL:
case CONST_DECL:
dump_decl_name (pp, node, flags);
break;
case LABEL_DECL:
if (DECL_NAME (node))
dump_decl_name (pp, node, flags);
else if (LABEL_DECL_UID (node) != -1)
pp_printf (pp, "<L%d>", (int) LABEL_DECL_UID (node));
else
{
if (flags & TDF_NOUID)
pp_string (pp, "<D.xxxx>");
else
pp_printf (pp, "<D.%u>", DECL_UID (node));
}
break;
case TYPE_DECL:
if (DECL_IS_BUILTIN (node))
{
/* Don't print the declaration of built-in types. */
break;
}
if (DECL_NAME (node))
dump_decl_name (pp, node, flags);
else if (TYPE_NAME (TREE_TYPE (node)) != node)
{
if ((TREE_CODE (TREE_TYPE (node)) == RECORD_TYPE
|| TREE_CODE (TREE_TYPE (node)) == UNION_TYPE)
&& TYPE_METHODS (TREE_TYPE (node)))
{
/* The type is a c++ class: all structures have at least
4 methods. */
pp_string (pp, "class ");
dump_generic_node (pp, TREE_TYPE (node), spc, flags, false);
}
else
{
pp_string (pp,
(TREE_CODE (TREE_TYPE (node)) == UNION_TYPE
? "union" : "struct "));
dump_generic_node (pp, TREE_TYPE (node), spc, flags, false);
}
}
else
pp_string (pp, "<anon>");
break;
case VAR_DECL:
case PARM_DECL:
case FIELD_DECL:
case DEBUG_EXPR_DECL:
case NAMESPACE_DECL:
case NAMELIST_DECL:
dump_decl_name (pp, node, flags);
break;
case RESULT_DECL:
pp_string (pp, "<retval>");
break;
case COMPONENT_REF:
op0 = TREE_OPERAND (node, 0);
str = ".";
if (op0
&& (TREE_CODE (op0) == INDIRECT_REF
|| (TREE_CODE (op0) == MEM_REF
&& TREE_CODE (TREE_OPERAND (op0, 0)) != ADDR_EXPR
&& integer_zerop (TREE_OPERAND (op0, 1))
/* Dump the types of INTEGER_CSTs explicitly, for we
can't infer them and MEM_ATTR caching will share
MEM_REFs with differently-typed op0s. */
&& TREE_CODE (TREE_OPERAND (op0, 0)) != INTEGER_CST
/* Released SSA_NAMES have no TREE_TYPE. */
&& TREE_TYPE (TREE_OPERAND (op0, 0)) != NULL_TREE
/* Same pointer types, but ignoring POINTER_TYPE vs.
REFERENCE_TYPE. */
&& (TREE_TYPE (TREE_TYPE (TREE_OPERAND (op0, 0)))
== TREE_TYPE (TREE_TYPE (TREE_OPERAND (op0, 1))))
&& (TYPE_MODE (TREE_TYPE (TREE_OPERAND (op0, 0)))
== TYPE_MODE (TREE_TYPE (TREE_OPERAND (op0, 1))))
&& (TYPE_REF_CAN_ALIAS_ALL (TREE_TYPE (TREE_OPERAND (op0, 0)))
== TYPE_REF_CAN_ALIAS_ALL (TREE_TYPE (TREE_OPERAND (op0, 1))))
/* Same value types ignoring qualifiers. */
&& (TYPE_MAIN_VARIANT (TREE_TYPE (op0))
== TYPE_MAIN_VARIANT
(TREE_TYPE (TREE_TYPE (TREE_OPERAND (op0, 1)))))
&& MR_DEPENDENCE_CLIQUE (op0) == 0)))
{
op0 = TREE_OPERAND (op0, 0);
str = "->";
}
if (op_prio (op0) < op_prio (node))
pp_left_paren (pp);
dump_generic_node (pp, op0, spc, flags, false);
if (op_prio (op0) < op_prio (node))
pp_right_paren (pp);
pp_string (pp, str);
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
op0 = component_ref_field_offset (node);
if (op0 && TREE_CODE (op0) != INTEGER_CST)
{
pp_string (pp, "{off: ");
dump_generic_node (pp, op0, spc, flags, false);
pp_right_brace (pp);
}
break;
case BIT_FIELD_REF:
pp_string (pp, "BIT_FIELD_REF <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 2), spc, flags, false);
pp_greater (pp);
break;
case ARRAY_REF:
case ARRAY_RANGE_REF:
op0 = TREE_OPERAND (node, 0);
if (op_prio (op0) < op_prio (node))
pp_left_paren (pp);
dump_generic_node (pp, op0, spc, flags, false);
if (op_prio (op0) < op_prio (node))
pp_right_paren (pp);
pp_left_bracket (pp);
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
if (TREE_CODE (node) == ARRAY_RANGE_REF)
pp_string (pp, " ...");
pp_right_bracket (pp);
op0 = array_ref_low_bound (node);
op1 = array_ref_element_size (node);
if (!integer_zerop (op0)
|| TREE_OPERAND (node, 2)
|| TREE_OPERAND (node, 3))
{
pp_string (pp, "{lb: ");
dump_generic_node (pp, op0, spc, flags, false);
pp_string (pp, " sz: ");
dump_generic_node (pp, op1, spc, flags, false);
pp_right_brace (pp);
}
break;
case CONSTRUCTOR:
{
unsigned HOST_WIDE_INT ix;
tree field, val;
bool is_struct_init = false;
bool is_array_init = false;
widest_int curidx;
pp_left_brace (pp);
if (TREE_CLOBBER_P (node))
pp_string (pp, "CLOBBER");
else if (TREE_CODE (TREE_TYPE (node)) == RECORD_TYPE
|| TREE_CODE (TREE_TYPE (node)) == UNION_TYPE)
is_struct_init = true;
else if (TREE_CODE (TREE_TYPE (node)) == ARRAY_TYPE
&& TYPE_DOMAIN (TREE_TYPE (node))
&& TYPE_MIN_VALUE (TYPE_DOMAIN (TREE_TYPE (node)))
&& TREE_CODE (TYPE_MIN_VALUE (TYPE_DOMAIN (TREE_TYPE (node))))
== INTEGER_CST)
{
tree minv = TYPE_MIN_VALUE (TYPE_DOMAIN (TREE_TYPE (node)));
is_array_init = true;
curidx = wi::to_widest (minv);
}
FOR_EACH_CONSTRUCTOR_ELT (CONSTRUCTOR_ELTS (node), ix, field, val)
{
if (field)
{
if (is_struct_init)
{
pp_dot (pp);
dump_generic_node (pp, field, spc, flags, false);
pp_equal (pp);
}
else if (is_array_init
&& (TREE_CODE (field) != INTEGER_CST
|| curidx != wi::to_widest (field)))
{
pp_left_bracket (pp);
if (TREE_CODE (field) == RANGE_EXPR)
{
dump_generic_node (pp, TREE_OPERAND (field, 0), spc,
flags, false);
pp_string (pp, " ... ");
dump_generic_node (pp, TREE_OPERAND (field, 1), spc,
flags, false);
if (TREE_CODE (TREE_OPERAND (field, 1)) == INTEGER_CST)
curidx = wi::to_widest (TREE_OPERAND (field, 1));
}
else
dump_generic_node (pp, field, spc, flags, false);
if (TREE_CODE (field) == INTEGER_CST)
curidx = wi::to_widest (field);
pp_string (pp, "]=");
}
}
if (is_array_init)
curidx += 1;
if (val && TREE_CODE (val) == ADDR_EXPR)
if (TREE_CODE (TREE_OPERAND (val, 0)) == FUNCTION_DECL)
val = TREE_OPERAND (val, 0);
if (val && TREE_CODE (val) == FUNCTION_DECL)
dump_decl_name (pp, val, flags);
else
dump_generic_node (pp, val, spc, flags, false);
if (ix != vec_safe_length (CONSTRUCTOR_ELTS (node)) - 1)
{
pp_comma (pp);
pp_space (pp);
}
}
pp_right_brace (pp);
}
break;
case COMPOUND_EXPR:
{
tree *tp;
if (flags & TDF_SLIM)
{
pp_string (pp, "<COMPOUND_EXPR>");
break;
}
dump_generic_node (pp, TREE_OPERAND (node, 0),
spc, flags, !(flags & TDF_SLIM));
if (flags & TDF_SLIM)
newline_and_indent (pp, spc);
else
{
pp_comma (pp);
pp_space (pp);
}
for (tp = &TREE_OPERAND (node, 1);
TREE_CODE (*tp) == COMPOUND_EXPR;
tp = &TREE_OPERAND (*tp, 1))
{
dump_generic_node (pp, TREE_OPERAND (*tp, 0),
spc, flags, !(flags & TDF_SLIM));
if (flags & TDF_SLIM)
newline_and_indent (pp, spc);
else
{
pp_comma (pp);
pp_space (pp);
}
}
dump_generic_node (pp, *tp, spc, flags, !(flags & TDF_SLIM));
}
break;
case STATEMENT_LIST:
{
tree_stmt_iterator si;
bool first = true;
if (flags & TDF_SLIM)
{
pp_string (pp, "<STATEMENT_LIST>");
break;
}
for (si = tsi_start (node); !tsi_end_p (si); tsi_next (&si))
{
if (!first)
newline_and_indent (pp, spc);
else
first = false;
dump_generic_node (pp, tsi_stmt (si), spc, flags, true);
}
}
break;
case MODIFY_EXPR:
case INIT_EXPR:
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags,
false);
pp_space (pp);
pp_equal (pp);
pp_space (pp);
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags,
false);
break;
case TARGET_EXPR:
pp_string (pp, "TARGET_EXPR <");
dump_generic_node (pp, TARGET_EXPR_SLOT (node), spc, flags, false);
pp_comma (pp);
pp_space (pp);
dump_generic_node (pp, TARGET_EXPR_INITIAL (node), spc, flags, false);
pp_greater (pp);
break;
case DECL_EXPR:
print_declaration (pp, DECL_EXPR_DECL (node), spc, flags);
is_stmt = false;
break;
case COND_EXPR:
if (TREE_TYPE (node) == NULL || TREE_TYPE (node) == void_type_node)
{
pp_string (pp, "if (");
dump_generic_node (pp, COND_EXPR_COND (node), spc, flags, false);
pp_right_paren (pp);
/* The lowered cond_exprs should always be printed in full. */
if (COND_EXPR_THEN (node)
&& (IS_EMPTY_STMT (COND_EXPR_THEN (node))
|| TREE_CODE (COND_EXPR_THEN (node)) == GOTO_EXPR)
&& COND_EXPR_ELSE (node)
&& (IS_EMPTY_STMT (COND_EXPR_ELSE (node))
|| TREE_CODE (COND_EXPR_ELSE (node)) == GOTO_EXPR))
{
pp_space (pp);
dump_generic_node (pp, COND_EXPR_THEN (node),
0, flags, true);
if (!IS_EMPTY_STMT (COND_EXPR_ELSE (node)))
{
pp_string (pp, " else ");
dump_generic_node (pp, COND_EXPR_ELSE (node),
0, flags, true);
}
}
else if (!(flags & TDF_SLIM))
{
/* Output COND_EXPR_THEN. */
if (COND_EXPR_THEN (node))
{
newline_and_indent (pp, spc+2);
pp_left_brace (pp);
newline_and_indent (pp, spc+4);
dump_generic_node (pp, COND_EXPR_THEN (node), spc+4,
flags, true);
newline_and_indent (pp, spc+2);
pp_right_brace (pp);
}
/* Output COND_EXPR_ELSE. */
if (COND_EXPR_ELSE (node)
&& !IS_EMPTY_STMT (COND_EXPR_ELSE (node)))
{
newline_and_indent (pp, spc);
pp_string (pp, "else");
newline_and_indent (pp, spc+2);
pp_left_brace (pp);
newline_and_indent (pp, spc+4);
dump_generic_node (pp, COND_EXPR_ELSE (node), spc+4,
flags, true);
newline_and_indent (pp, spc+2);
pp_right_brace (pp);
}
}
is_expr = false;
}
else
{
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_space (pp);
pp_question (pp);
pp_space (pp);
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_space (pp);
pp_colon (pp);
pp_space (pp);
dump_generic_node (pp, TREE_OPERAND (node, 2), spc, flags, false);
}
break;
case BIND_EXPR:
pp_left_brace (pp);
if (!(flags & TDF_SLIM))
{
if (BIND_EXPR_VARS (node))
{
pp_newline (pp);
for (op0 = BIND_EXPR_VARS (node); op0; op0 = DECL_CHAIN (op0))
{
print_declaration (pp, op0, spc+2, flags);
pp_newline (pp);
}
}
newline_and_indent (pp, spc+2);
dump_generic_node (pp, BIND_EXPR_BODY (node), spc+2, flags, true);
newline_and_indent (pp, spc);
pp_right_brace (pp);
}
is_expr = false;
break;
case CALL_EXPR:
if (CALL_EXPR_FN (node) != NULL_TREE)
print_call_name (pp, CALL_EXPR_FN (node), flags);
else
pp_string (pp, internal_fn_name (CALL_EXPR_IFN (node)));
/* Print parameters. */
pp_space (pp);
pp_left_paren (pp);
{
tree arg;
call_expr_arg_iterator iter;
FOR_EACH_CALL_EXPR_ARG (arg, iter, node)
{
dump_generic_node (pp, arg, spc, flags, false);
if (more_call_expr_args_p (&iter))
{
pp_comma (pp);
pp_space (pp);
}
}
}
if (CALL_EXPR_VA_ARG_PACK (node))
{
if (call_expr_nargs (node) > 0)
{
pp_comma (pp);
pp_space (pp);
}
pp_string (pp, "__builtin_va_arg_pack ()");
}
pp_right_paren (pp);
op1 = CALL_EXPR_STATIC_CHAIN (node);
if (op1)
{
pp_string (pp, " [static-chain: ");
dump_generic_node (pp, op1, spc, flags, false);
pp_right_bracket (pp);
}
if (CALL_EXPR_RETURN_SLOT_OPT (node))
pp_string (pp, " [return slot optimization]");
if (CALL_EXPR_TAILCALL (node))
pp_string (pp, " [tail call]");
break;
case WITH_CLEANUP_EXPR:
NIY;
break;
case CLEANUP_POINT_EXPR:
pp_string (pp, "<<cleanup_point ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ">>");
break;
case PLACEHOLDER_EXPR:
pp_string (pp, "<PLACEHOLDER_EXPR ");
dump_generic_node (pp, TREE_TYPE (node), spc, flags, false);
pp_greater (pp);
break;
/* Binary arithmetic and logic expressions. */
case WIDEN_SUM_EXPR:
case WIDEN_MULT_EXPR:
case MULT_EXPR:
case MULT_HIGHPART_EXPR:
case PLUS_EXPR:
case POINTER_PLUS_EXPR:
case MINUS_EXPR:
case TRUNC_DIV_EXPR:
case CEIL_DIV_EXPR:
case FLOOR_DIV_EXPR:
case ROUND_DIV_EXPR:
case TRUNC_MOD_EXPR:
case CEIL_MOD_EXPR:
case FLOOR_MOD_EXPR:
case ROUND_MOD_EXPR:
case RDIV_EXPR:
case EXACT_DIV_EXPR:
case LSHIFT_EXPR:
case RSHIFT_EXPR:
case LROTATE_EXPR:
case RROTATE_EXPR:
case WIDEN_LSHIFT_EXPR:
case BIT_IOR_EXPR:
case BIT_XOR_EXPR:
case BIT_AND_EXPR:
case TRUTH_ANDIF_EXPR:
case TRUTH_ORIF_EXPR:
case TRUTH_AND_EXPR:
case TRUTH_OR_EXPR:
case TRUTH_XOR_EXPR:
case LT_EXPR:
case LE_EXPR:
case GT_EXPR:
case GE_EXPR:
case EQ_EXPR:
case NE_EXPR:
case UNLT_EXPR:
case UNLE_EXPR:
case UNGT_EXPR:
case UNGE_EXPR:
case UNEQ_EXPR:
case LTGT_EXPR:
case ORDERED_EXPR:
case UNORDERED_EXPR:
{
const char *op = op_symbol (node);
op0 = TREE_OPERAND (node, 0);
op1 = TREE_OPERAND (node, 1);
/* When the operands are expressions with less priority,
keep semantics of the tree representation. */
if (op_prio (op0) <= op_prio (node))
{
pp_left_paren (pp);
dump_generic_node (pp, op0, spc, flags, false);
pp_right_paren (pp);
}
else
dump_generic_node (pp, op0, spc, flags, false);
pp_space (pp);
pp_string (pp, op);
pp_space (pp);
/* When the operands are expressions with less priority,
keep semantics of the tree representation. */
if (op_prio (op1) <= op_prio (node))
{
pp_left_paren (pp);
dump_generic_node (pp, op1, spc, flags, false);
pp_right_paren (pp);
}
else
dump_generic_node (pp, op1, spc, flags, false);
}
break;
/* Unary arithmetic and logic expressions. */
case NEGATE_EXPR:
case BIT_NOT_EXPR:
case TRUTH_NOT_EXPR:
case ADDR_EXPR:
case PREDECREMENT_EXPR:
case PREINCREMENT_EXPR:
case INDIRECT_REF:
if (TREE_CODE (node) == ADDR_EXPR
&& (TREE_CODE (TREE_OPERAND (node, 0)) == STRING_CST
|| TREE_CODE (TREE_OPERAND (node, 0)) == FUNCTION_DECL))
; /* Do not output '&' for strings and function pointers. */
else
pp_string (pp, op_symbol (node));
if (op_prio (TREE_OPERAND (node, 0)) < op_prio (node))
{
pp_left_paren (pp);
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_right_paren (pp);
}
else
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
break;
case POSTDECREMENT_EXPR:
case POSTINCREMENT_EXPR:
if (op_prio (TREE_OPERAND (node, 0)) < op_prio (node))
{
pp_left_paren (pp);
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_right_paren (pp);
}
else
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, op_symbol (node));
break;
case MIN_EXPR:
pp_string (pp, "MIN_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_greater (pp);
break;
case MAX_EXPR:
pp_string (pp, "MAX_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_greater (pp);
break;
case ABS_EXPR:
pp_string (pp, "ABS_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_greater (pp);
break;
case RANGE_EXPR:
NIY;
break;
case ADDR_SPACE_CONVERT_EXPR:
case FIXED_CONVERT_EXPR:
case FIX_TRUNC_EXPR:
case FLOAT_EXPR:
CASE_CONVERT:
type = TREE_TYPE (node);
op0 = TREE_OPERAND (node, 0);
if (type != TREE_TYPE (op0))
{
pp_left_paren (pp);
dump_generic_node (pp, type, spc, flags, false);
pp_string (pp, ") ");
}
if (op_prio (op0) < op_prio (node))
pp_left_paren (pp);
dump_generic_node (pp, op0, spc, flags, false);
if (op_prio (op0) < op_prio (node))
pp_right_paren (pp);
break;
case VIEW_CONVERT_EXPR:
pp_string (pp, "VIEW_CONVERT_EXPR<");
dump_generic_node (pp, TREE_TYPE (node), spc, flags, false);
pp_string (pp, ">(");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_right_paren (pp);
break;
case PAREN_EXPR:
pp_string (pp, "((");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, "))");
break;
case NON_LVALUE_EXPR:
pp_string (pp, "NON_LVALUE_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_greater (pp);
break;
case SAVE_EXPR:
pp_string (pp, "SAVE_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_greater (pp);
break;
case COMPLEX_EXPR:
pp_string (pp, "COMPLEX_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_greater (pp);
break;
case CONJ_EXPR:
pp_string (pp, "CONJ_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_greater (pp);
break;
case REALPART_EXPR:
pp_string (pp, "REALPART_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_greater (pp);
break;
case IMAGPART_EXPR:
pp_string (pp, "IMAGPART_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_greater (pp);
break;
case VA_ARG_EXPR:
pp_string (pp, "VA_ARG_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_greater (pp);
break;
case TRY_FINALLY_EXPR:
case TRY_CATCH_EXPR:
pp_string (pp, "try");
newline_and_indent (pp, spc+2);
pp_left_brace (pp);
newline_and_indent (pp, spc+4);
dump_generic_node (pp, TREE_OPERAND (node, 0), spc+4, flags, true);
newline_and_indent (pp, spc+2);
pp_right_brace (pp);
newline_and_indent (pp, spc);
pp_string (pp,
(TREE_CODE (node) == TRY_CATCH_EXPR) ? "catch" : "finally");
newline_and_indent (pp, spc+2);
pp_left_brace (pp);
newline_and_indent (pp, spc+4);
dump_generic_node (pp, TREE_OPERAND (node, 1), spc+4, flags, true);
newline_and_indent (pp, spc+2);
pp_right_brace (pp);
is_expr = false;
break;
case CATCH_EXPR:
pp_string (pp, "catch (");
dump_generic_node (pp, CATCH_TYPES (node), spc+2, flags, false);
pp_right_paren (pp);
newline_and_indent (pp, spc+2);
pp_left_brace (pp);
newline_and_indent (pp, spc+4);
dump_generic_node (pp, CATCH_BODY (node), spc+4, flags, true);
newline_and_indent (pp, spc+2);
pp_right_brace (pp);
is_expr = false;
break;
case EH_FILTER_EXPR:
pp_string (pp, "<<<eh_filter (");
dump_generic_node (pp, EH_FILTER_TYPES (node), spc+2, flags, false);
pp_string (pp, ")>>>");
newline_and_indent (pp, spc+2);
pp_left_brace (pp);
newline_and_indent (pp, spc+4);
dump_generic_node (pp, EH_FILTER_FAILURE (node), spc+4, flags, true);
newline_and_indent (pp, spc+2);
pp_right_brace (pp);
is_expr = false;
break;
case LABEL_EXPR:
op0 = TREE_OPERAND (node, 0);
/* If this is for break or continue, don't bother printing it. */
if (DECL_NAME (op0))
{
const char *name = IDENTIFIER_POINTER (DECL_NAME (op0));
if (strcmp (name, "break") == 0
|| strcmp (name, "continue") == 0)
break;
}
dump_generic_node (pp, op0, spc, flags, false);
pp_colon (pp);
if (DECL_NONLOCAL (op0))
pp_string (pp, " [non-local]");
break;
case LOOP_EXPR:
pp_string (pp, "while (1)");
if (!(flags & TDF_SLIM))
{
newline_and_indent (pp, spc+2);
pp_left_brace (pp);
newline_and_indent (pp, spc+4);
dump_generic_node (pp, LOOP_EXPR_BODY (node), spc+4, flags, true);
newline_and_indent (pp, spc+2);
pp_right_brace (pp);
}
is_expr = false;
break;
case PREDICT_EXPR:
pp_string (pp, "// predicted ");
if (PREDICT_EXPR_OUTCOME (node))
pp_string (pp, "likely by ");
else
pp_string (pp, "unlikely by ");
pp_string (pp, predictor_name (PREDICT_EXPR_PREDICTOR (node)));
pp_string (pp, " predictor.");
break;
case ANNOTATE_EXPR:
pp_string (pp, "ANNOTATE_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
switch ((enum annot_expr_kind) TREE_INT_CST_LOW (TREE_OPERAND (node, 1)))
{
case annot_expr_ivdep_kind:
pp_string (pp, ", ivdep");
break;
case annot_expr_no_vector_kind:
pp_string (pp, ", no-vector");
break;
case annot_expr_vector_kind:
pp_string (pp, ", vector");
break;
default:
gcc_unreachable ();
}
pp_greater (pp);
break;
case RETURN_EXPR:
pp_string (pp, "return");
op0 = TREE_OPERAND (node, 0);
if (op0)
{
pp_space (pp);
if (TREE_CODE (op0) == MODIFY_EXPR)
dump_generic_node (pp, TREE_OPERAND (op0, 1),
spc, flags, false);
else
dump_generic_node (pp, op0, spc, flags, false);
}
break;
case EXIT_EXPR:
pp_string (pp, "if (");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ") break");
break;
case SWITCH_EXPR:
pp_string (pp, "switch (");
dump_generic_node (pp, SWITCH_COND (node), spc, flags, false);
pp_right_paren (pp);
if (!(flags & TDF_SLIM))
{
newline_and_indent (pp, spc+2);
pp_left_brace (pp);
if (SWITCH_BODY (node))
{
newline_and_indent (pp, spc+4);
dump_generic_node (pp, SWITCH_BODY (node), spc+4, flags,
true);
}
else
{
tree vec = SWITCH_LABELS (node);
size_t i, n = TREE_VEC_LENGTH (vec);
for (i = 0; i < n; ++i)
{
tree elt = TREE_VEC_ELT (vec, i);
newline_and_indent (pp, spc+4);
if (elt)
{
dump_generic_node (pp, elt, spc+4, flags, false);
pp_string (pp, " goto ");
dump_generic_node (pp, CASE_LABEL (elt), spc+4,
flags, true);
pp_semicolon (pp);
}
else
pp_string (pp, "case ???: goto ???;");
}
}
newline_and_indent (pp, spc+2);
pp_right_brace (pp);
}
is_expr = false;
break;
case GOTO_EXPR:
op0 = GOTO_DESTINATION (node);
if (TREE_CODE (op0) != SSA_NAME && DECL_P (op0) && DECL_NAME (op0))
{
const char *name = IDENTIFIER_POINTER (DECL_NAME (op0));
if (strcmp (name, "break") == 0
|| strcmp (name, "continue") == 0)
{
pp_string (pp, name);
break;
}
}
pp_string (pp, "goto ");
dump_generic_node (pp, op0, spc, flags, false);
break;
case ASM_EXPR:
pp_string (pp, "__asm__");
if (ASM_VOLATILE_P (node))
pp_string (pp, " __volatile__");
pp_left_paren (pp);
dump_generic_node (pp, ASM_STRING (node), spc, flags, false);
pp_colon (pp);
dump_generic_node (pp, ASM_OUTPUTS (node), spc, flags, false);
pp_colon (pp);
dump_generic_node (pp, ASM_INPUTS (node), spc, flags, false);
if (ASM_CLOBBERS (node))
{
pp_colon (pp);
dump_generic_node (pp, ASM_CLOBBERS (node), spc, flags, false);
}
pp_right_paren (pp);
break;
case CASE_LABEL_EXPR:
if (CASE_LOW (node) && CASE_HIGH (node))
{
pp_string (pp, "case ");
dump_generic_node (pp, CASE_LOW (node), spc, flags, false);
pp_string (pp, " ... ");
dump_generic_node (pp, CASE_HIGH (node), spc, flags, false);
}
else if (CASE_LOW (node))
{
pp_string (pp, "case ");
dump_generic_node (pp, CASE_LOW (node), spc, flags, false);
}
else
pp_string (pp, "default");
pp_colon (pp);
break;
case OBJ_TYPE_REF:
pp_string (pp, "OBJ_TYPE_REF(");
dump_generic_node (pp, OBJ_TYPE_REF_EXPR (node), spc, flags, false);
pp_semicolon (pp);
if (!(flags & TDF_SLIM) && virtual_method_call_p (node))
{
pp_string (pp, "(");
dump_generic_node (pp, obj_type_ref_class (node), spc, flags, false);
pp_string (pp, ")");
}
dump_generic_node (pp, OBJ_TYPE_REF_OBJECT (node), spc, flags, false);
pp_arrow (pp);
dump_generic_node (pp, OBJ_TYPE_REF_TOKEN (node), spc, flags, false);
pp_right_paren (pp);
break;
case SSA_NAME:
if (SSA_NAME_IDENTIFIER (node))
dump_generic_node (pp, SSA_NAME_IDENTIFIER (node),
spc, flags, false);
pp_underscore (pp);
pp_decimal_int (pp, SSA_NAME_VERSION (node));
if (SSA_NAME_IS_DEFAULT_DEF (node))
pp_string (pp, "(D)");
if (SSA_NAME_OCCURS_IN_ABNORMAL_PHI (node))
pp_string (pp, "(ab)");
break;
case WITH_SIZE_EXPR:
pp_string (pp, "WITH_SIZE_EXPR <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_greater (pp);
break;
case ASSERT_EXPR:
pp_string (pp, "ASSERT_EXPR <");
dump_generic_node (pp, ASSERT_EXPR_VAR (node), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, ASSERT_EXPR_COND (node), spc, flags, false);
pp_greater (pp);
break;
case SCEV_KNOWN:
pp_string (pp, "scev_known");
break;
case SCEV_NOT_KNOWN:
pp_string (pp, "scev_not_known");
break;
case POLYNOMIAL_CHREC:
pp_left_brace (pp);
dump_generic_node (pp, CHREC_LEFT (node), spc, flags, false);
pp_string (pp, ", +, ");
dump_generic_node (pp, CHREC_RIGHT (node), spc, flags, false);
pp_string (pp, "}_");
dump_generic_node (pp, CHREC_VAR (node), spc, flags, false);
is_stmt = false;
break;
case REALIGN_LOAD_EXPR:
pp_string (pp, "REALIGN_LOAD <");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 2), spc, flags, false);
pp_greater (pp);
break;
case VEC_COND_EXPR:
pp_string (pp, " VEC_COND_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, " , ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, " , ");
dump_generic_node (pp, TREE_OPERAND (node, 2), spc, flags, false);
pp_string (pp, " > ");
break;
case VEC_PERM_EXPR:
pp_string (pp, " VEC_PERM_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, " , ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, " , ");
dump_generic_node (pp, TREE_OPERAND (node, 2), spc, flags, false);
pp_string (pp, " > ");
break;
case DOT_PROD_EXPR:
pp_string (pp, " DOT_PROD_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 2), spc, flags, false);
pp_string (pp, " > ");
break;
case WIDEN_MULT_PLUS_EXPR:
pp_string (pp, " WIDEN_MULT_PLUS_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 2), spc, flags, false);
pp_string (pp, " > ");
break;
case WIDEN_MULT_MINUS_EXPR:
pp_string (pp, " WIDEN_MULT_MINUS_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 2), spc, flags, false);
pp_string (pp, " > ");
break;
case FMA_EXPR:
pp_string (pp, " FMA_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 2), spc, flags, false);
pp_string (pp, " > ");
break;
case OACC_PARALLEL:
pp_string (pp, "#pragma acc parallel");
dump_omp_clauses (pp, OACC_PARALLEL_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OACC_KERNELS:
pp_string (pp, "#pragma acc kernels");
dump_omp_clauses (pp, OACC_KERNELS_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OACC_DATA:
pp_string (pp, "#pragma acc data");
dump_omp_clauses (pp, OACC_DATA_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OACC_HOST_DATA:
pp_string (pp, "#pragma acc host_data");
dump_omp_clauses (pp, OACC_HOST_DATA_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OACC_DECLARE:
pp_string (pp, "#pragma acc declare");
dump_omp_clauses (pp, OACC_DECLARE_CLAUSES (node), spc, flags);
break;
case OACC_UPDATE:
pp_string (pp, "#pragma acc update");
dump_omp_clauses (pp, OACC_UPDATE_CLAUSES (node), spc, flags);
break;
case OACC_ENTER_DATA:
pp_string (pp, "#pragma acc enter data");
dump_omp_clauses (pp, OACC_ENTER_DATA_CLAUSES (node), spc, flags);
break;
case OACC_EXIT_DATA:
pp_string (pp, "#pragma acc exit data");
dump_omp_clauses (pp, OACC_EXIT_DATA_CLAUSES (node), spc, flags);
break;
case OACC_CACHE:
pp_string (pp, "#pragma acc cache");
dump_omp_clauses (pp, OACC_CACHE_CLAUSES (node), spc, flags);
break;
case OMP_PARALLEL:
pp_string (pp, "#pragma omp parallel");
dump_omp_clauses (pp, OMP_PARALLEL_CLAUSES (node), spc, flags);
dump_omp_body:
if (!(flags & TDF_SLIM) && OMP_BODY (node))
{
newline_and_indent (pp, spc + 2);
pp_left_brace (pp);
newline_and_indent (pp, spc + 4);
dump_generic_node (pp, OMP_BODY (node), spc + 4, flags, false);
newline_and_indent (pp, spc + 2);
pp_right_brace (pp);
}
is_expr = false;
break;
case OMP_TASK:
pp_string (pp, "#pragma omp task");
dump_omp_clauses (pp, OMP_TASK_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OMP_FOR:
pp_string (pp, "#pragma omp for");
goto dump_omp_loop;
case OMP_SIMD:
pp_string (pp, "#pragma omp simd");
goto dump_omp_loop;
case CILK_SIMD:
pp_string (pp, "#pragma simd");
goto dump_omp_loop;
case CILK_FOR:
/* This label points one line after dumping the clauses.
For _Cilk_for the clauses are dumped after the _Cilk_for (...)
parameters are printed out. */
goto dump_omp_loop_cilk_for;
case OMP_DISTRIBUTE:
pp_string (pp, "#pragma omp distribute");
goto dump_omp_loop;
case OACC_LOOP:
pp_string (pp, "#pragma acc loop");
goto dump_omp_loop;
case OMP_TEAMS:
pp_string (pp, "#pragma omp teams");
dump_omp_clauses (pp, OMP_TEAMS_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OMP_TARGET_DATA:
pp_string (pp, "#pragma omp target data");
dump_omp_clauses (pp, OMP_TARGET_DATA_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OMP_TARGET:
pp_string (pp, "#pragma omp target");
dump_omp_clauses (pp, OMP_TARGET_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OMP_TARGET_UPDATE:
pp_string (pp, "#pragma omp target update");
dump_omp_clauses (pp, OMP_TARGET_UPDATE_CLAUSES (node), spc, flags);
is_expr = false;
break;
dump_omp_loop:
dump_omp_clauses (pp, OMP_FOR_CLAUSES (node), spc, flags);
dump_omp_loop_cilk_for:
if (!(flags & TDF_SLIM))
{
int i;
if (OMP_FOR_PRE_BODY (node))
{
if (TREE_CODE (node) == CILK_FOR)
pp_string (pp, " ");
else
newline_and_indent (pp, spc + 2);
pp_left_brace (pp);
spc += 4;
newline_and_indent (pp, spc);
dump_generic_node (pp, OMP_FOR_PRE_BODY (node),
spc, flags, false);
}
if (OMP_FOR_INIT (node))
{
spc -= 2;
for (i = 0; i < TREE_VEC_LENGTH (OMP_FOR_INIT (node)); i++)
{
spc += 2;
if (TREE_CODE (node) != CILK_FOR || OMP_FOR_PRE_BODY (node))
newline_and_indent (pp, spc);
if (TREE_CODE (node) == CILK_FOR)
pp_string (pp, "_Cilk_for (");
else
pp_string (pp, "for (");
dump_generic_node (pp,
TREE_VEC_ELT (OMP_FOR_INIT (node), i),
spc, flags, false);
pp_string (pp, "; ");
dump_generic_node (pp,
TREE_VEC_ELT (OMP_FOR_COND (node), i),
spc, flags, false);
pp_string (pp, "; ");
dump_generic_node (pp,
TREE_VEC_ELT (OMP_FOR_INCR (node), i),
spc, flags, false);
pp_right_paren (pp);
}
if (TREE_CODE (node) == CILK_FOR)
dump_omp_clauses (pp, OMP_FOR_CLAUSES (node), spc, flags);
}
if (OMP_FOR_BODY (node))
{
newline_and_indent (pp, spc + 2);
pp_left_brace (pp);
newline_and_indent (pp, spc + 4);
dump_generic_node (pp, OMP_FOR_BODY (node), spc + 4, flags,
false);
newline_and_indent (pp, spc + 2);
pp_right_brace (pp);
}
if (OMP_FOR_INIT (node))
spc -= 2 * TREE_VEC_LENGTH (OMP_FOR_INIT (node)) - 2;
if (OMP_FOR_PRE_BODY (node))
{
spc -= 4;
newline_and_indent (pp, spc + 2);
pp_right_brace (pp);
}
}
is_expr = false;
break;
case OMP_SECTIONS:
pp_string (pp, "#pragma omp sections");
dump_omp_clauses (pp, OMP_SECTIONS_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OMP_SECTION:
pp_string (pp, "#pragma omp section");
goto dump_omp_body;
case OMP_MASTER:
pp_string (pp, "#pragma omp master");
goto dump_omp_body;
case OMP_TASKGROUP:
pp_string (pp, "#pragma omp taskgroup");
goto dump_omp_body;
case OMP_ORDERED:
pp_string (pp, "#pragma omp ordered");
goto dump_omp_body;
case OMP_CRITICAL:
pp_string (pp, "#pragma omp critical");
if (OMP_CRITICAL_NAME (node))
{
pp_space (pp);
pp_left_paren (pp);
dump_generic_node (pp, OMP_CRITICAL_NAME (node), spc,
flags, false);
pp_right_paren (pp);
}
goto dump_omp_body;
case OMP_ATOMIC:
pp_string (pp, "#pragma omp atomic");
if (OMP_ATOMIC_SEQ_CST (node))
pp_string (pp, " seq_cst");
newline_and_indent (pp, spc + 2);
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_space (pp);
pp_equal (pp);
pp_space (pp);
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
break;
case OMP_ATOMIC_READ:
pp_string (pp, "#pragma omp atomic read");
if (OMP_ATOMIC_SEQ_CST (node))
pp_string (pp, " seq_cst");
newline_and_indent (pp, spc + 2);
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_space (pp);
break;
case OMP_ATOMIC_CAPTURE_OLD:
case OMP_ATOMIC_CAPTURE_NEW:
pp_string (pp, "#pragma omp atomic capture");
if (OMP_ATOMIC_SEQ_CST (node))
pp_string (pp, " seq_cst");
newline_and_indent (pp, spc + 2);
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_space (pp);
pp_equal (pp);
pp_space (pp);
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
break;
case OMP_SINGLE:
pp_string (pp, "#pragma omp single");
dump_omp_clauses (pp, OMP_SINGLE_CLAUSES (node), spc, flags);
goto dump_omp_body;
case OMP_CLAUSE:
dump_omp_clause (pp, node, spc, flags);
is_expr = false;
break;
case TRANSACTION_EXPR:
if (TRANSACTION_EXPR_OUTER (node))
pp_string (pp, "__transaction_atomic [[outer]]");
else if (TRANSACTION_EXPR_RELAXED (node))
pp_string (pp, "__transaction_relaxed");
else
pp_string (pp, "__transaction_atomic");
if (!(flags & TDF_SLIM) && TRANSACTION_EXPR_BODY (node))
{
newline_and_indent (pp, spc);
pp_left_brace (pp);
newline_and_indent (pp, spc + 2);
dump_generic_node (pp, TRANSACTION_EXPR_BODY (node),
spc + 2, flags, false);
newline_and_indent (pp, spc);
pp_right_brace (pp);
}
is_expr = false;
break;
case REDUC_MAX_EXPR:
pp_string (pp, " REDUC_MAX_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, " > ");
break;
case REDUC_MIN_EXPR:
pp_string (pp, " REDUC_MIN_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, " > ");
break;
case REDUC_PLUS_EXPR:
pp_string (pp, " REDUC_PLUS_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, " > ");
break;
case VEC_WIDEN_MULT_HI_EXPR:
case VEC_WIDEN_MULT_LO_EXPR:
case VEC_WIDEN_MULT_EVEN_EXPR:
case VEC_WIDEN_MULT_ODD_EXPR:
case VEC_WIDEN_LSHIFT_HI_EXPR:
case VEC_WIDEN_LSHIFT_LO_EXPR:
pp_space (pp);
for (str = get_tree_code_name (code); *str; str++)
pp_character (pp, TOUPPER (*str));
pp_string (pp, " < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, " > ");
break;
case VEC_UNPACK_HI_EXPR:
pp_string (pp, " VEC_UNPACK_HI_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, " > ");
break;
case VEC_UNPACK_LO_EXPR:
pp_string (pp, " VEC_UNPACK_LO_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, " > ");
break;
case VEC_UNPACK_FLOAT_HI_EXPR:
pp_string (pp, " VEC_UNPACK_FLOAT_HI_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, " > ");
break;
case VEC_UNPACK_FLOAT_LO_EXPR:
pp_string (pp, " VEC_UNPACK_FLOAT_LO_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, " > ");
break;
case VEC_PACK_TRUNC_EXPR:
pp_string (pp, " VEC_PACK_TRUNC_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, " > ");
break;
case VEC_PACK_SAT_EXPR:
pp_string (pp, " VEC_PACK_SAT_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, " > ");
break;
case VEC_PACK_FIX_TRUNC_EXPR:
pp_string (pp, " VEC_PACK_FIX_TRUNC_EXPR < ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
pp_string (pp, ", ");
dump_generic_node (pp, TREE_OPERAND (node, 1), spc, flags, false);
pp_string (pp, " > ");
break;
case BLOCK:
dump_block_node (pp, node, spc, flags);
break;
case CILK_SPAWN_STMT:
pp_string (pp, "_Cilk_spawn ");
dump_generic_node (pp, TREE_OPERAND (node, 0), spc, flags, false);
break;
case CILK_SYNC_STMT:
pp_string (pp, "_Cilk_sync");
break;
default:
NIY;
}
if (is_stmt && is_expr)
pp_semicolon (pp);
return spc;
}
/* Print the declaration of a variable. */
void
print_declaration (pretty_printer *pp, tree t, int spc, int flags)
{
INDENT (spc);
if (TREE_CODE(t) == NAMELIST_DECL)
{
pp_string(pp, "namelist ");
dump_decl_name (pp, t, flags);
pp_semicolon (pp);
return;
}
if (TREE_CODE (t) == TYPE_DECL)
pp_string (pp, "typedef ");
if (CODE_CONTAINS_STRUCT (TREE_CODE (t), TS_DECL_WRTL) && DECL_REGISTER (t))
pp_string (pp, "register ");
if (TREE_PUBLIC (t) && DECL_EXTERNAL (t))
pp_string (pp, "extern ");
else if (TREE_STATIC (t))
pp_string (pp, "static ");
/* Print the type and name. */
if (TREE_TYPE (t) && TREE_CODE (TREE_TYPE (t)) == ARRAY_TYPE)
{
tree tmp;
/* Print array's type. */
tmp = TREE_TYPE (t);
while (TREE_CODE (TREE_TYPE (tmp)) == ARRAY_TYPE)
tmp = TREE_TYPE (tmp);
dump_generic_node (pp, TREE_TYPE (tmp), spc, flags, false);
/* Print variable's name. */
pp_space (pp);
dump_generic_node (pp, t, spc, flags, false);
/* Print the dimensions. */
tmp = TREE_TYPE (t);
while (TREE_CODE (tmp) == ARRAY_TYPE)
{
dump_array_domain (pp, TYPE_DOMAIN (tmp), spc, flags);
tmp = TREE_TYPE (tmp);
}
}
else if (TREE_CODE (t) == FUNCTION_DECL)
{
dump_generic_node (pp, TREE_TYPE (TREE_TYPE (t)), spc, flags, false);
pp_space (pp);
dump_decl_name (pp, t, flags);
dump_function_declaration (pp, TREE_TYPE (t), spc, flags);
}
else
{
/* Print type declaration. */
dump_generic_node (pp, TREE_TYPE (t), spc, flags, false);
/* Print variable's name. */
pp_space (pp);
dump_generic_node (pp, t, spc, flags, false);
}
if (TREE_CODE (t) == VAR_DECL && DECL_HARD_REGISTER (t))
{
pp_string (pp, " __asm__ ");
pp_left_paren (pp);
dump_generic_node (pp, DECL_ASSEMBLER_NAME (t), spc, flags, false);
pp_right_paren (pp);
}
/* The initial value of a function serves to determine whether the function
is declared or defined. So the following does not apply to function
nodes. */
if (TREE_CODE (t) != FUNCTION_DECL)
{
/* Print the initial value. */
if (DECL_INITIAL (t))
{
pp_space (pp);
pp_equal (pp);
pp_space (pp);
dump_generic_node (pp, DECL_INITIAL (t), spc, flags, false);
}
}
if (TREE_CODE (t) == VAR_DECL && DECL_HAS_VALUE_EXPR_P (t))
{
pp_string (pp, " [value-expr: ");
dump_generic_node (pp, DECL_VALUE_EXPR (t), spc, flags, false);
pp_right_bracket (pp);
}
pp_semicolon (pp);
}
/* Prints a structure: name, fields, and methods.
FIXME: Still incomplete. */
static void
print_struct_decl (pretty_printer *pp, const_tree node, int spc, int flags)
{
/* Print the name of the structure. */
if (TYPE_NAME (node))
{
INDENT (spc);
if (TREE_CODE (node) == RECORD_TYPE)
pp_string (pp, "struct ");
else if ((TREE_CODE (node) == UNION_TYPE
|| TREE_CODE (node) == QUAL_UNION_TYPE))
pp_string (pp, "union ");
dump_generic_node (pp, TYPE_NAME (node), spc, 0, false);
}
/* Print the contents of the structure. */
pp_newline (pp);
INDENT (spc);
pp_left_brace (pp);
pp_newline (pp);
/* Print the fields of the structure. */
{
tree tmp;
tmp = TYPE_FIELDS (node);
while (tmp)
{
/* Avoid to print recursively the structure. */
/* FIXME : Not implemented correctly...,
what about the case when we have a cycle in the contain graph? ...
Maybe this could be solved by looking at the scope in which the
structure was declared. */
if (TREE_TYPE (tmp) != node
&& (TREE_CODE (TREE_TYPE (tmp)) != POINTER_TYPE
|| TREE_TYPE (TREE_TYPE (tmp)) != node))
{
print_declaration (pp, tmp, spc+2, flags);
pp_newline (pp);
}
tmp = DECL_CHAIN (tmp);
}
}
INDENT (spc);
pp_right_brace (pp);
}
/* Return the priority of the operator CODE.
From lowest to highest precedence with either left-to-right (L-R)
or right-to-left (R-L) associativity]:
1 [L-R] ,
2 [R-L] = += -= *= /= %= &= ^= |= <<= >>=
3 [R-L] ?:
4 [L-R] ||
5 [L-R] &&
6 [L-R] |
7 [L-R] ^
8 [L-R] &
9 [L-R] == !=
10 [L-R] < <= > >=
11 [L-R] << >>
12 [L-R] + -
13 [L-R] * / %
14 [R-L] ! ~ ++ -- + - * & (type) sizeof
15 [L-R] fn() [] -> .
unary +, - and * have higher precedence than the corresponding binary
operators. */
int
op_code_prio (enum tree_code code)
{
switch (code)
{
case TREE_LIST:
case COMPOUND_EXPR:
case BIND_EXPR:
return 1;
case MODIFY_EXPR:
case INIT_EXPR:
return 2;
case COND_EXPR:
return 3;
case TRUTH_OR_EXPR:
case TRUTH_ORIF_EXPR:
return 4;
case TRUTH_AND_EXPR:
case TRUTH_ANDIF_EXPR:
return 5;
case BIT_IOR_EXPR:
return 6;
case BIT_XOR_EXPR:
case TRUTH_XOR_EXPR:
return 7;
case BIT_AND_EXPR:
return 8;
case EQ_EXPR:
case NE_EXPR:
return 9;
case UNLT_EXPR:
case UNLE_EXPR:
case UNGT_EXPR:
case UNGE_EXPR:
case UNEQ_EXPR:
case LTGT_EXPR:
case ORDERED_EXPR:
case UNORDERED_EXPR:
case LT_EXPR:
case LE_EXPR:
case GT_EXPR:
case GE_EXPR:
return 10;
case LSHIFT_EXPR:
case RSHIFT_EXPR:
case LROTATE_EXPR:
case RROTATE_EXPR:
case VEC_WIDEN_LSHIFT_HI_EXPR:
case VEC_WIDEN_LSHIFT_LO_EXPR:
case WIDEN_LSHIFT_EXPR:
return 11;
case WIDEN_SUM_EXPR:
case PLUS_EXPR:
case POINTER_PLUS_EXPR:
case MINUS_EXPR:
return 12;
case VEC_WIDEN_MULT_HI_EXPR:
case VEC_WIDEN_MULT_LO_EXPR:
case WIDEN_MULT_EXPR:
case DOT_PROD_EXPR:
case WIDEN_MULT_PLUS_EXPR:
case WIDEN_MULT_MINUS_EXPR:
case MULT_EXPR:
case MULT_HIGHPART_EXPR:
case TRUNC_DIV_EXPR:
case CEIL_DIV_EXPR:
case FLOOR_DIV_EXPR:
case ROUND_DIV_EXPR:
case RDIV_EXPR:
case EXACT_DIV_EXPR:
case TRUNC_MOD_EXPR:
case CEIL_MOD_EXPR:
case FLOOR_MOD_EXPR:
case ROUND_MOD_EXPR:
case FMA_EXPR:
return 13;
case TRUTH_NOT_EXPR:
case BIT_NOT_EXPR:
case POSTINCREMENT_EXPR:
case POSTDECREMENT_EXPR:
case PREINCREMENT_EXPR:
case PREDECREMENT_EXPR:
case NEGATE_EXPR:
case INDIRECT_REF:
case ADDR_EXPR:
case FLOAT_EXPR:
CASE_CONVERT:
case FIX_TRUNC_EXPR:
case TARGET_EXPR:
return 14;
case CALL_EXPR:
case ARRAY_REF:
case ARRAY_RANGE_REF:
case COMPONENT_REF:
return 15;
/* Special expressions. */
case MIN_EXPR:
case MAX_EXPR:
case ABS_EXPR:
case REALPART_EXPR:
case IMAGPART_EXPR:
case REDUC_MAX_EXPR:
case REDUC_MIN_EXPR:
case REDUC_PLUS_EXPR:
case VEC_UNPACK_HI_EXPR:
case VEC_UNPACK_LO_EXPR:
case VEC_UNPACK_FLOAT_HI_EXPR:
case VEC_UNPACK_FLOAT_LO_EXPR:
case VEC_PACK_TRUNC_EXPR:
case VEC_PACK_SAT_EXPR:
return 16;
default:
/* Return an arbitrarily high precedence to avoid surrounding single
VAR_DECLs in ()s. */
return 9999;
}
}
/* Return the priority of the operator OP. */
int
op_prio (const_tree op)
{
enum tree_code code;
if (op == NULL)
return 9999;
code = TREE_CODE (op);
if (code == SAVE_EXPR || code == NON_LVALUE_EXPR)
return op_prio (TREE_OPERAND (op, 0));
return op_code_prio (code);
}
/* Return the symbol associated with operator CODE. */
const char *
op_symbol_code (enum tree_code code)
{
switch (code)
{
case MODIFY_EXPR:
return "=";
case TRUTH_OR_EXPR:
case TRUTH_ORIF_EXPR:
return "||";
case TRUTH_AND_EXPR:
case TRUTH_ANDIF_EXPR:
return "&&";
case BIT_IOR_EXPR:
return "|";
case TRUTH_XOR_EXPR:
case BIT_XOR_EXPR:
return "^";
case ADDR_EXPR:
case BIT_AND_EXPR:
return "&";
case ORDERED_EXPR:
return "ord";
case UNORDERED_EXPR:
return "unord";
case EQ_EXPR:
return "==";
case UNEQ_EXPR:
return "u==";
case NE_EXPR:
return "!=";
case LT_EXPR:
return "<";
case UNLT_EXPR:
return "u<";
case LE_EXPR:
return "<=";
case UNLE_EXPR:
return "u<=";
case GT_EXPR:
return ">";
case UNGT_EXPR:
return "u>";
case GE_EXPR:
return ">=";
case UNGE_EXPR:
return "u>=";
case LTGT_EXPR:
return "<>";
case LSHIFT_EXPR:
return "<<";
case RSHIFT_EXPR:
return ">>";
case LROTATE_EXPR:
return "r<<";
case RROTATE_EXPR:
return "r>>";
case WIDEN_LSHIFT_EXPR:
return "w<<";
case POINTER_PLUS_EXPR:
return "+";
case PLUS_EXPR:
return "+";
case REDUC_PLUS_EXPR:
return "r+";
case WIDEN_SUM_EXPR:
return "w+";
case WIDEN_MULT_EXPR:
return "w*";
case MULT_HIGHPART_EXPR:
return "h*";
case NEGATE_EXPR:
case MINUS_EXPR:
return "-";
case BIT_NOT_EXPR:
return "~";
case TRUTH_NOT_EXPR:
return "!";
case MULT_EXPR:
case INDIRECT_REF:
return "*";
case TRUNC_DIV_EXPR:
case RDIV_EXPR:
return "/";
case CEIL_DIV_EXPR:
return "/[cl]";
case FLOOR_DIV_EXPR:
return "/[fl]";
case ROUND_DIV_EXPR:
return "/[rd]";
case EXACT_DIV_EXPR:
return "/[ex]";
case TRUNC_MOD_EXPR:
return "%";
case CEIL_MOD_EXPR:
return "%[cl]";
case FLOOR_MOD_EXPR:
return "%[fl]";
case ROUND_MOD_EXPR:
return "%[rd]";
case PREDECREMENT_EXPR:
return " --";
case PREINCREMENT_EXPR:
return " ++";
case POSTDECREMENT_EXPR:
return "-- ";
case POSTINCREMENT_EXPR:
return "++ ";
case MAX_EXPR:
return "max";
case MIN_EXPR:
return "min";
default:
return "<<< ??? >>>";
}
}
/* Return the symbol associated with operator OP. */
static const char *
op_symbol (const_tree op)
{
return op_symbol_code (TREE_CODE (op));
}
/* Prints the name of a call. NODE is the CALL_EXPR_FN of a CALL_EXPR or
the gimple_call_fn of a GIMPLE_CALL. */
void
print_call_name (pretty_printer *pp, tree node, int flags)
{
tree op0 = node;
if (TREE_CODE (op0) == NON_LVALUE_EXPR)
op0 = TREE_OPERAND (op0, 0);
again:
switch (TREE_CODE (op0))
{
case VAR_DECL:
case PARM_DECL:
case FUNCTION_DECL:
dump_function_name (pp, op0, flags);
break;
case ADDR_EXPR:
case INDIRECT_REF:
CASE_CONVERT:
op0 = TREE_OPERAND (op0, 0);
goto again;
case COND_EXPR:
pp_left_paren (pp);
dump_generic_node (pp, TREE_OPERAND (op0, 0), 0, flags, false);
pp_string (pp, ") ? ");
dump_generic_node (pp, TREE_OPERAND (op0, 1), 0, flags, false);
pp_string (pp, " : ");
dump_generic_node (pp, TREE_OPERAND (op0, 2), 0, flags, false);
break;
case ARRAY_REF:
if (TREE_CODE (TREE_OPERAND (op0, 0)) == VAR_DECL)
dump_function_name (pp, TREE_OPERAND (op0, 0), flags);
else
dump_generic_node (pp, op0, 0, flags, false);
break;
case MEM_REF:
if (integer_zerop (TREE_OPERAND (op0, 1)))
{
op0 = TREE_OPERAND (op0, 0);
goto again;
}
/* Fallthru. */
case COMPONENT_REF:
case SSA_NAME:
case OBJ_TYPE_REF:
dump_generic_node (pp, op0, 0, flags, false);
break;
default:
NIY;
}
}
/* Parses the string STR and replaces new-lines by '\n', tabs by '\t', ... */
static void
pretty_print_string (pretty_printer *pp, const char *str)
{
if (str == NULL)
return;
while (*str)
{
switch (str[0])
{
case '\b':
pp_string (pp, "\\b");
break;
case '\f':
pp_string (pp, "\\f");
break;
case '\n':
pp_string (pp, "\\n");
break;
case '\r':
pp_string (pp, "\\r");
break;
case '\t':
pp_string (pp, "\\t");
break;
case '\v':
pp_string (pp, "\\v");
break;
case '\\':
pp_string (pp, "\\\\");
break;
case '\"':
pp_string (pp, "\\\"");
break;
case '\'':
pp_string (pp, "\\'");
break;
/* No need to handle \0; the loop terminates on \0. */
case '\1':
pp_string (pp, "\\1");
break;
case '\2':
pp_string (pp, "\\2");
break;
case '\3':
pp_string (pp, "\\3");
break;
case '\4':
pp_string (pp, "\\4");
break;
case '\5':
pp_string (pp, "\\5");
break;
case '\6':
pp_string (pp, "\\6");
break;
case '\7':
pp_string (pp, "\\7");
break;
default:
pp_character (pp, str[0]);
break;
}
str++;
}
}
static void
maybe_init_pretty_print (FILE *file)
{
if (!tree_pp)
{
tree_pp = new pretty_printer ();
pp_needs_newline (tree_pp) = true;
pp_translate_identifiers (tree_pp) = false;
}
tree_pp->buffer->stream = file;
}
static void
newline_and_indent (pretty_printer *pp, int spc)
{
pp_newline (pp);
INDENT (spc);
}
/* Handle a %K format for TEXT. Separate from default_tree_printer so
it can also be used in front ends.
%K: a statement, from which EXPR_LOCATION and TREE_BLOCK will be recorded.
*/
void
percent_K_format (text_info *text)
{
tree t = va_arg (*text->args_ptr, tree), block;
gcc_assert (text->locus != NULL);
*text->locus = EXPR_LOCATION (t);
gcc_assert (pp_ti_abstract_origin (text) != NULL);
block = TREE_BLOCK (t);
*pp_ti_abstract_origin (text) = NULL;
if (in_lto_p)
{
/* ??? LTO drops all BLOCK_ABSTRACT_ORIGINs apart from those
representing the outermost block of an inlined function.
So walk the BLOCK tree until we hit such a scope. */
while (block
&& TREE_CODE (block) == BLOCK)
{
if (inlined_function_outer_scope_p (block))
{
*pp_ti_abstract_origin (text) = block;
break;
}
block = BLOCK_SUPERCONTEXT (block);
}
return;
}
while (block
&& TREE_CODE (block) == BLOCK
&& BLOCK_ABSTRACT_ORIGIN (block))
{
tree ao = BLOCK_ABSTRACT_ORIGIN (block);
while (TREE_CODE (ao) == BLOCK
&& BLOCK_ABSTRACT_ORIGIN (ao)
&& BLOCK_ABSTRACT_ORIGIN (ao) != ao)
ao = BLOCK_ABSTRACT_ORIGIN (ao);
if (TREE_CODE (ao) == FUNCTION_DECL)
{
*pp_ti_abstract_origin (text) = block;
break;
}
block = BLOCK_SUPERCONTEXT (block);
}
}
/* Print the identifier ID to PRETTY-PRINTER. */
void
pp_tree_identifier (pretty_printer *pp, tree id)
{
if (pp_translate_identifiers (pp))
{
const char *text = identifier_to_locale (IDENTIFIER_POINTER (id));
pp_append_text (pp, text, text + strlen (text));
}
else
pp_append_text (pp, IDENTIFIER_POINTER (id),
IDENTIFIER_POINTER (id) + IDENTIFIER_LENGTH (id));
}
/* A helper function that is used to dump function information before the
function dump. */
void
dump_function_header (FILE *dump_file, tree fdecl, int flags)
{
const char *dname, *aname;
struct cgraph_node *node = cgraph_node::get (fdecl);
struct function *fun = DECL_STRUCT_FUNCTION (fdecl);
dname = lang_hooks.decl_printable_name (fdecl, 2);
if (DECL_ASSEMBLER_NAME_SET_P (fdecl))
aname = (IDENTIFIER_POINTER
(DECL_ASSEMBLER_NAME (fdecl)));
else
aname = "<unset-asm-name>";
fprintf (dump_file, "\n;; Function %s (%s, funcdef_no=%d",
dname, aname, fun->funcdef_no);
if (!(flags & TDF_NOUID))
fprintf (dump_file, ", decl_uid=%d", DECL_UID (fdecl));
if (node)
{
fprintf (dump_file, ", cgraph_uid=%d", node->uid);
fprintf (dump_file, ", symbol_order=%d)%s\n\n", node->order,
node->frequency == NODE_FREQUENCY_HOT
? " (hot)"
: node->frequency == NODE_FREQUENCY_UNLIKELY_EXECUTED
? " (unlikely executed)"
: node->frequency == NODE_FREQUENCY_EXECUTED_ONCE
? " (executed once)"
: "");
}
else
fprintf (dump_file, ")\n\n");
}
/* Dump double_int D to pretty_printer PP. UNS is true
if D is unsigned and false otherwise. */
void
pp_double_int (pretty_printer *pp, double_int d, bool uns)
{
if (d.fits_shwi ())
pp_wide_integer (pp, d.low);
else if (d.fits_uhwi ())
pp_unsigned_wide_integer (pp, d.low);
else
{
unsigned HOST_WIDE_INT low = d.low;
HOST_WIDE_INT high = d.high;
if (!uns && d.is_negative ())
{
pp_minus (pp);
high = ~high + !low;
low = -low;
}
/* Would "%x%0*x" or "%x%*0x" get zero-padding on all
systems? */
sprintf (pp_buffer (pp)->digit_buffer,
HOST_WIDE_INT_PRINT_DOUBLE_HEX,
(unsigned HOST_WIDE_INT) high, low);
pp_string (pp, pp_buffer (pp)->digit_buffer);
}
}
|
rotth.c | /*
* rotth.c
*
* does rotation of complex array tvar through real angle thetb
* Input array does NOT have guard cells, so it uses CELTNDX2
* and CELTNDX3 index macros.
*
*/
#ifdef _OPENMP
#include <omp.h>
#endif
#include <stdio.h>
#include "light.h"
#include "pf3dbench.h"
#include "util.h"
#include "runparm.h"
#include "pf3dbenchvars.h"
#define tvar2D(a,b) tvar[CELTNDX2(a,b)]
#define thetb2D(a,b) thetb[CELTNDX2(a,b)]
#define tvar3D(a,b,c) tvar[CELTNDX3(a,b,c)]
#define thetb3D(a,b,c) thetb[CELTNDX3(a,b,c)]
void rotth_z_merge(rcomplex * restrict tvar, real * restrict thetb, int izlo, int izhi)
{
int ix, iy, iz;
/* Collapsing all three loops may be a bad idea on CPUs with SIMD units
because that could prevent SIMD instruction generation. */
#ifdef _OPENMP
/* #pragma omp parallel for COLLAPSE(2) */
#pragma omp parallel for COLLAPSE(2) private(ix, iy, iz)
#endif
for(iz= izlo; iz <= izhi; iz++) {
for (iy=0; iy<nyl; iy++) {
#pragma omp simd
for (ix=0; ix<nxl; ix++) {
tvar3D(ix,iy,iz)= tvar3D(ix,iy,iz)*(COS(thetb3D(ix,iy,iz))+IREAL*SIN(thetb3D(ix,iy,iz)) );
}
}
}
}
void rotth_z_merge3(rcomplex * restrict tvar, real * restrict thetb, int izlo, int izhi)
{
int ix, iy, iz;
/* Collapsing all three loops may be a bad idea on CPUs with SIMD units
because that could prevent SIMD instruction generation. */
#ifdef _OPENMP
#pragma omp parallel for simd COLLAPSE(3)
#endif
for(iz= izlo; iz <= izhi; iz++) {
for (iy=0; iy<nyl; iy++) {
for (ix=0; ix<nxl; ix++) {
tvar3D(ix,iy,iz)= tvar3D(ix,iy,iz)*(COS(thetb3D(ix,iy,iz))+IREAL*SIN(thetb3D(ix,iy,iz)) );
}
}
}
}
|
mp3.c | //Transpose with locks
#include<stdio.h>
#include<time.h>
#include<omp.h>
void main()
{
int a[5][5],b[5][5],c[5][5],temp=0,ch;
printf("Menu\n1.Express Mode\n2.Custom Mode\n");
printf("Enter your choice:");
scanf("%d",&ch);
if(ch == 1)
{
int l = 1;
for(int i=0;i<5;i++)
{
for(int j=0;j<5;j++)
{
a[i][j] = l;
b[i][j] = 1;
l++;
}
}
}else{
int k=1;
for(int i=0;i<5;i++)
{
for(int j=0;j<5;j++)
{
printf("Enter element %d of first matrix:",k);
scanf("%d",&a[i][j]);
k++;
}
}
k = 1;
for(int i=0;i<5;i++)
{
for(int j=0;j<5;j++)
{
printf("Enter element %d of second matrix:",k);
scanf("%d",&b[i][j]);
k++;
}
}
}
printf("\nThe First Matrix is:\n");
for(int i = 0; i < 5; i++)
{
for(int j = 0; j < 5; j++)
{
printf("%d\t", a[i][j]);
}
printf("\n");
}
printf("\nThe Second Matrix is:\n");
for(int i = 0; i < 5; i++)
{
for(int j = 0; j < 5; j++)
{
printf("%d\t", b[i][j]);
}
printf("\n");
}
clock_t begin = clock();
omp_lock_t writelock;
omp_init_lock(&writelock);
#pragma omp parallel num_threads(5)
{
#pragma omp for
for(int i = 0; i < 5; i++)
{
int id = omp_get_thread_num();
for(int j = 0; j < i; j++)
{
omp_set_lock(&writelock);
temp = a[i][j];
a[i][j] = a[j][i];
a[j][i] = temp;
omp_unset_lock(&writelock);
}
printf("Thread %d\n",id);
}
}
omp_destroy_lock(&writelock);
printf("\nTranspose of First Matrix:\n");
for(int i = 0; i < 5; i++)
{
for(int j = 0; j < 5; j++)
{
printf("%d\t", a[i][j]);
}
printf("\n");
}
#pragma omp parallel num_threads(5)
{
#pragma omp for
for(int i = 0; i < 5;i++)
{
int id = omp_get_thread_num();
for(int j = 0; j < 5;j++)
{
c[i][j] = a[i][j] + b[i][j];
}
printf("Thread %d\n",id);
}
}
clock_t end = clock();
double time_spent = (double)(end - begin) / CLOCKS_PER_SEC;
printf("CPU Time used = %lfms",time_spent);
printf("\nSum Matrix Is:\n");
for(int i = 0; i < 5; i++)
{
for(int j = 0; j < 5; j++)
{
printf("%d\t", c[i][j]);
}
printf("\n");
}
}
|
nmf_pgd.c | /* Generated by Cython 0.29.21 */
/* BEGIN: Cython Metadata
{
"distutils": {
"depends": [],
"language": "c",
"name": "gensim.models.nmf_pgd",
"sources": [
"gensim/models/nmf_pgd.pyx"
]
},
"module_name": "gensim.models.nmf_pgd"
}
END: Cython Metadata */
#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
#error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
#error Cython requires Python 2.6+ or Python 3.3+.
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#define CYTHON_ABI "0_29_21"
#define CYTHON_HEX_VERSION 0x001D15F0
#define CYTHON_FUTURE_DIVISION 0
#include <stddef.h>
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#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
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#if !defined(WIN32) && !defined(MS_WINDOWS)
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#define __fastcall
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#define DL_IMPORT(t) t
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#define DL_EXPORT(t) t
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#define __PYX_COMMA ,
#ifndef HAVE_LONG_LONG
#if PY_VERSION_HEX >= 0x02070000
#define HAVE_LONG_LONG
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#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
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#ifndef Py_HUGE_VAL
#define Py_HUGE_VAL HUGE_VAL
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#ifdef PYPY_VERSION
#define CYTHON_COMPILING_IN_PYPY 1
#define CYTHON_COMPILING_IN_PYSTON 0
#define CYTHON_COMPILING_IN_CPYTHON 0
#undef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 0
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#if PY_VERSION_HEX < 0x03050000
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#elif !defined(CYTHON_USE_ASYNC_SLOTS)
#define CYTHON_USE_ASYNC_SLOTS 1
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#undef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 0
#undef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 0
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#undef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 1
#undef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 0
#undef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 0
#undef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 0
#undef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 0
#undef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 0
#undef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE 0
#undef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS 0
#undef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK 0
#elif defined(PYSTON_VERSION)
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 1
#define CYTHON_COMPILING_IN_CPYTHON 0
#ifndef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 1
#endif
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#undef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 0
#ifndef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 1
#endif
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#ifndef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 0
#endif
#ifndef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 1
#endif
#ifndef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 1
#endif
#undef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 0
#undef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 0
#undef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 0
#undef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE 0
#undef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS 0
#undef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK 0
#else
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 0
#define CYTHON_COMPILING_IN_CPYTHON 1
#ifndef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 1
#endif
#if PY_VERSION_HEX < 0x02070000
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
#define CYTHON_USE_PYTYPE_LOOKUP 1
#endif
#if PY_MAJOR_VERSION < 3
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#elif !defined(CYTHON_USE_ASYNC_SLOTS)
#define CYTHON_USE_ASYNC_SLOTS 1
#endif
#if PY_VERSION_HEX < 0x02070000
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#elif !defined(CYTHON_USE_PYLONG_INTERNALS)
#define CYTHON_USE_PYLONG_INTERNALS 1
#endif
#ifndef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 1
#endif
#ifndef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 1
#endif
#if PY_VERSION_HEX < 0x030300F0
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#elif !defined(CYTHON_USE_UNICODE_WRITER)
#define CYTHON_USE_UNICODE_WRITER 1
#endif
#ifndef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 0
#endif
#ifndef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 1
#endif
#ifndef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 1
#endif
#ifndef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 1
#endif
#ifndef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 1
#endif
#ifndef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)
#endif
#ifndef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
#endif
#ifndef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)
#endif
#ifndef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)
#endif
#endif
#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
#endif
#if CYTHON_USE_PYLONG_INTERNALS
#include "longintrepr.h"
#undef SHIFT
#undef BASE
#undef MASK
#ifdef SIZEOF_VOID_P
enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };
#endif
#endif
#ifndef __has_attribute
#define __has_attribute(x) 0
#endif
#ifndef __has_cpp_attribute
#define __has_cpp_attribute(x) 0
#endif
#ifndef CYTHON_RESTRICT
#if defined(__GNUC__)
#define CYTHON_RESTRICT __restrict__
#elif defined(_MSC_VER) && _MSC_VER >= 1400
#define CYTHON_RESTRICT __restrict
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_RESTRICT restrict
#else
#define CYTHON_RESTRICT
#endif
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
#endif
#ifndef CYTHON_MAYBE_UNUSED_VAR
# if defined(__cplusplus)
template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
# else
# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
# endif
#endif
#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
# define CYTHON_NCP_UNUSED
# else
# define CYTHON_NCP_UNUSED CYTHON_UNUSED
# endif
#endif
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifdef _MSC_VER
#ifndef _MSC_STDINT_H_
#if _MSC_VER < 1300
typedef unsigned char uint8_t;
typedef unsigned int uint32_t;
#else
typedef unsigned __int8 uint8_t;
typedef unsigned __int32 uint32_t;
#endif
#endif
#else
#include <stdint.h>
#endif
#ifndef CYTHON_FALLTHROUGH
#if defined(__cplusplus) && __cplusplus >= 201103L
#if __has_cpp_attribute(fallthrough)
#define CYTHON_FALLTHROUGH [[fallthrough]]
#elif __has_cpp_attribute(clang::fallthrough)
#define CYTHON_FALLTHROUGH [[clang::fallthrough]]
#elif __has_cpp_attribute(gnu::fallthrough)
#define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
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#ifndef CYTHON_FALLTHROUGH
#if __has_attribute(fallthrough)
#define CYTHON_FALLTHROUGH __attribute__((fallthrough))
#else
#define CYTHON_FALLTHROUGH
#endif
#endif
#if defined(__clang__ ) && defined(__apple_build_version__)
#if __apple_build_version__ < 7000000
#undef CYTHON_FALLTHROUGH
#define CYTHON_FALLTHROUGH
#endif
#endif
#endif
#ifndef CYTHON_INLINE
#if defined(__clang__)
#define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
#elif defined(__GNUC__)
#define CYTHON_INLINE __inline__
#elif defined(_MSC_VER)
#define CYTHON_INLINE __inline
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_INLINE inline
#else
#define CYTHON_INLINE
#endif
#endif
#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
#define Py_OptimizeFlag 0
#endif
#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#if PY_MAJOR_VERSION < 3
#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#define __Pyx_DefaultClassType PyClass_Type
#else
#define __Pyx_BUILTIN_MODULE_NAME "builtins"
#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
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#endif
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#define PyMem_RawMalloc(n) PyMem_Malloc(n)
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#define PyMem_RawFree(p) PyMem_Free(p)
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#define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co)
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#define __Pyx_PyThreadState_Current PyThreadState_GET()
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#define __Pyx_PyThreadState_Current _PyThreadState_Current
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#include "pythread.h"
#define Py_tss_NEEDS_INIT 0
typedef int Py_tss_t;
static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
*key = PyThread_create_key();
return 0;
}
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Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
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#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
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#define __Pyx_PyUnicode_READY(op) (0)
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#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
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#define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)
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#define PyObject_ASCII(o) PyObject_Repr(o)
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#define PyBaseString_Type PyUnicode_Type
#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
#ifndef PyObject_Unicode
#define PyObject_Unicode PyObject_Str
#endif
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
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#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
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#if PY_VERSION_HEX >= 0x030900A4
#define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt)
#define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size)
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#define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size)
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#if CYTHON_ASSUME_SAFE_MACROS
#define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)
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#if PY_MAJOR_VERSION >= 3
#define PyIntObject PyLongObject
#define PyInt_Type PyLong_Type
#define PyInt_Check(op) PyLong_Check(op)
#define PyInt_CheckExact(op) PyLong_CheckExact(op)
#define PyInt_FromString PyLong_FromString
#define PyInt_FromUnicode PyLong_FromUnicode
#define PyInt_FromLong PyLong_FromLong
#define PyInt_FromSize_t PyLong_FromSize_t
#define PyInt_FromSsize_t PyLong_FromSsize_t
#define PyInt_AsLong PyLong_AsLong
#define PyInt_AS_LONG PyLong_AS_LONG
#define PyInt_AsSsize_t PyLong_AsSsize_t
#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
#define PyNumber_Int PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
#ifndef PyUnicode_InternFromString
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
#endif
#endif
#if PY_VERSION_HEX < 0x030200A4
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func))
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#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
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#if CYTHON_USE_ASYNC_SLOTS
#if PY_VERSION_HEX >= 0x030500B1
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
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#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
#endif
#else
#define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
typedef struct {
unaryfunc am_await;
unaryfunc am_aiter;
unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
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#define __Pyx_truncl truncl
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#define __PYX_MARK_ERR_POS(f_index, lineno) \
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#define __PYX_ERR(f_index, lineno, Ln_error) \
{ __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; }
#ifndef __PYX_EXTERN_C
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
#endif
#define __PYX_HAVE__gensim__models__nmf_pgd
#define __PYX_HAVE_API__gensim__models__nmf_pgd
/* Early includes */
#include <math.h>
#include "pythread.h"
#include <string.h>
#include <stdlib.h>
#include <stdio.h>
#include "pystate.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */
#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif
typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\
(sizeof(type) < sizeof(Py_ssize_t)) ||\
(sizeof(type) > sizeof(Py_ssize_t) &&\
likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX) &&\
(!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
v == (type)PY_SSIZE_T_MIN))) ||\
(sizeof(type) == sizeof(Py_ssize_t) &&\
(is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX))) )
static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
return (size_t) i < (size_t) limit;
}
#if defined (__cplusplus) && __cplusplus >= 201103L
#include <cstdlib>
#define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
#define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
#define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
#define __Pyx_sst_abs(value) ((value<0) ? -value : value)
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
const Py_UNICODE *u_end = u;
while (*u_end++) ;
return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
(likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
PyObject* ascii_chars_u = NULL;
PyObject* ascii_chars_b = NULL;
const char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
if (strcmp(default_encoding_c, "ascii") == 0) {
__Pyx_sys_getdefaultencoding_not_ascii = 0;
} else {
char ascii_chars[128];
int c;
for (c = 0; c < 128; c++) {
ascii_chars[c] = c;
}
__Pyx_sys_getdefaultencoding_not_ascii = 1;
ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
if (!ascii_chars_u) goto bad;
ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
PyErr_Format(
PyExc_ValueError,
"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
default_encoding_c);
goto bad;
}
Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
}
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
__PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
return -1;
}
#endif
#endif
/* Test for GCC > 2.95 */
#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
#define likely(x) (x)
#define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime = NULL;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;
static const char *__pyx_f[] = {
"gensim/models/nmf_pgd.pyx",
"stringsource",
};
/* NoFastGil.proto */
#define __Pyx_PyGILState_Ensure PyGILState_Ensure
#define __Pyx_PyGILState_Release PyGILState_Release
#define __Pyx_FastGIL_Remember()
#define __Pyx_FastGIL_Forget()
#define __Pyx_FastGilFuncInit()
/* MemviewSliceStruct.proto */
struct __pyx_memoryview_obj;
typedef struct {
struct __pyx_memoryview_obj *memview;
char *data;
Py_ssize_t shape[8];
Py_ssize_t strides[8];
Py_ssize_t suboffsets[8];
} __Pyx_memviewslice;
#define __Pyx_MemoryView_Len(m) (m.shape[0])
/* Atomics.proto */
#include <pythread.h>
#ifndef CYTHON_ATOMICS
#define CYTHON_ATOMICS 1
#endif
#define __pyx_atomic_int_type int
#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\
(__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\
!defined(__i386__)
#define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)
#define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using GNU atomics"
#endif
#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0
#include <Windows.h>
#undef __pyx_atomic_int_type
#define __pyx_atomic_int_type LONG
#define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)
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#define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value)
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#define __pyx_sub_acquisition_count(memview)\
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#define __pyx_sub_acquisition_count(memview)\
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struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
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struct __Pyx_StructField_* fields;
size_t size;
size_t arraysize[8];
int ndim;
char typegroup;
char is_unsigned;
int flags;
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typedef struct __Pyx_StructField_ {
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size_t fmt_offset;
size_t new_count, enc_count;
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int is_complex;
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char new_packmode;
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struct __pyx_array_obj;
struct __pyx_MemviewEnum_obj;
struct __pyx_memoryview_obj;
struct __pyx_memoryviewslice_obj;
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struct __pyx_array_obj {
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struct __pyx_vtabstruct_array *__pyx_vtab;
char *data;
Py_ssize_t len;
char *format;
int ndim;
Py_ssize_t *_shape;
Py_ssize_t *_strides;
Py_ssize_t itemsize;
PyObject *mode;
PyObject *_format;
void (*callback_free_data)(void *);
int free_data;
int dtype_is_object;
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struct __pyx_MemviewEnum_obj {
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PyObject *name;
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/* "View.MemoryView":330
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struct __pyx_memoryview_obj {
PyObject_HEAD
struct __pyx_vtabstruct_memoryview *__pyx_vtab;
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PyObject *_size;
PyObject *_array_interface;
PyThread_type_lock lock;
__pyx_atomic_int acquisition_count[2];
__pyx_atomic_int *acquisition_count_aligned_p;
Py_buffer view;
int flags;
int dtype_is_object;
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struct __pyx_memoryviewslice_obj {
struct __pyx_memoryview_obj __pyx_base;
__Pyx_memviewslice from_slice;
PyObject *from_object;
PyObject *(*to_object_func)(char *);
int (*to_dtype_func)(char *, PyObject *);
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struct __pyx_vtabstruct_array {
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struct __pyx_vtabstruct_memoryview {
char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *);
PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *);
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struct __pyx_vtabstruct__memoryviewslice {
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#define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
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#define __Pyx_GIVEREF(r)
#define __Pyx_XINCREF(r) Py_XINCREF(r)
#define __Pyx_XDECREF(r) Py_XDECREF(r)
#define __Pyx_XGOTREF(r)
#define __Pyx_XGIVEREF(r)
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#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
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#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
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/* GetBuiltinName.proto */
static PyObject *__Pyx_GetBuiltinName(PyObject *name);
/* RaiseArgTupleInvalid.proto */
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
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/* RaiseDoubleKeywords.proto */
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);
/* ParseKeywords.proto */
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
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/* MemviewSliceInit.proto */
#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d
#define __Pyx_MEMVIEW_DIRECT 1
#define __Pyx_MEMVIEW_PTR 2
#define __Pyx_MEMVIEW_FULL 4
#define __Pyx_MEMVIEW_CONTIG 8
#define __Pyx_MEMVIEW_STRIDED 16
#define __Pyx_MEMVIEW_FOLLOW 32
#define __Pyx_IS_C_CONTIG 1
#define __Pyx_IS_F_CONTIG 2
static int __Pyx_init_memviewslice(
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__Pyx_memviewslice *memviewslice,
int memview_is_new_reference);
static CYTHON_INLINE int __pyx_add_acquisition_count_locked(
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static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(
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#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)
#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview))
#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)
#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)
static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);
/* ArgTypeTest.proto */
#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\
__Pyx__ArgTypeTest(obj, type, name, exact))
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);
/* PyObjectCall.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
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#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
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/* PyThreadStateGet.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate;
#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current;
#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type
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#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
#define __Pyx_PyErr_Occurred() PyErr_Occurred()
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/* PyErrFetchRestore.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
#else
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
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#else
#define __Pyx_PyErr_Clear() PyErr_Clear()
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb)
#endif
/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
/* PyCFunctionFastCall.proto */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
#else
#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL)
#endif
/* PyFunctionFastCall.proto */
#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
__Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs);
#else
#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
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#define __Pyx_BUILD_ASSERT_EXPR(cond)\
(sizeof(char [1 - 2*!(cond)]) - 1)
#ifndef Py_MEMBER_SIZE
#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member)
#endif
static size_t __pyx_pyframe_localsplus_offset = 0;
#include "frameobject.h"
#define __Pxy_PyFrame_Initialize_Offsets()\
((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\
(void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus)))
#define __Pyx_PyFrame_GetLocalsplus(frame)\
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/* PyObjectCall2Args.proto */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2);
/* PyObjectCallMethO.proto */
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static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
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/* PyObjectCallOneArg.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
/* IncludeStringH.proto */
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/* BytesEquals.proto */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);
/* UnicodeEquals.proto */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);
/* StrEquals.proto */
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
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#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
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/* UnaryNegOverflows.proto */
#define UNARY_NEG_WOULD_OVERFLOW(x)\
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static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/
/* GetAttr.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
/* GetItemInt.proto */
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
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static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
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#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
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#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1)
#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\
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#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\
static PY_UINT64_T __pyx_dict_version = 0;\
static PyObject *__pyx_dict_cached_value = NULL;\
if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\
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__pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\
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static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);
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#define __PYX_GET_DICT_VERSION(dict) (0)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP);
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#define __Pyx_GetModuleGlobalName(var, name) {\
static PY_UINT64_T __pyx_dict_version = 0;\
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static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
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static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
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static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
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static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
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#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
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static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
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static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
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#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
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#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
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#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
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static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
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Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
__Pyx_SET_SIZE(list, len + 1);
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static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
if (unlikely(!none))
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Py_DECREF(none);
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return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
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static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
__Pyx_SET_SIZE(list, len + 1);
return 0;
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return PyList_Append(list, x);
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#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
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static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
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static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);
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static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);
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static int __Pyx_SetVtable(PyObject *dict, void *vtable);
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static int __Pyx_setup_reduce(PyObject* type_obj);
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#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
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static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
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struct __Pyx_CodeObjectCache {
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static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
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static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
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#define __Pyx_GetBuffer PyObject_GetBuffer
#define __Pyx_ReleaseBuffer PyBuffer_Release
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typedef struct {
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typedef struct {
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Py_buffer pybuffer;
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typedef struct {
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__Pyx_Buf_DimInfo diminfo[8];
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static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);
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static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
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static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
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static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
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static int __Pyx_ValidateAndInit_memviewslice(
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int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj);
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static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag);
/* MemviewSliceCopyTemplate.proto */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object);
/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
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static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
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static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
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static int __Pyx_check_binary_version(void);
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static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
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static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
/* Module declarations from 'libc.math' */
/* Module declarations from 'gensim.models.nmf_pgd' */
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static int __pyx_memoryview_thread_locks_used;
static PyThread_type_lock __pyx_memoryview_thread_locks[8];
static double __pyx_f_6gensim_6models_7nmf_pgd_fmin(double, double); /*proto*/
static double __pyx_f_6gensim_6models_7nmf_pgd_fmax(double, double); /*proto*/
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 };
static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 };
#define __Pyx_MODULE_NAME "gensim.models.nmf_pgd"
extern int __pyx_module_is_main_gensim__models__nmf_pgd;
int __pyx_module_is_main_gensim__models__nmf_pgd = 0;
/* Implementation of 'gensim.models.nmf_pgd' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_id;
static PyObject *__pyx_builtin_IndexError;
static const char __pyx_k_O[] = "O";
static const char __pyx_k_c[] = "c";
static const char __pyx_k_h[] = "h";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_WtW[] = "WtW";
static const char __pyx_k_Wtv[] = "Wtv";
static const char __pyx_k_new[] = "__new__";
static const char __pyx_k_obj[] = "obj";
static const char __pyx_k_base[] = "base";
static const char __pyx_k_dict[] = "__dict__";
static const char __pyx_k_grad[] = "grad";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_mode[] = "mode";
static const char __pyx_k_name[] = "name";
static const char __pyx_k_ndim[] = "ndim";
static const char __pyx_k_pack[] = "pack";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_step[] = "step";
static const char __pyx_k_stop[] = "stop";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_ASCII[] = "ASCII";
static const char __pyx_k_class[] = "__class__";
static const char __pyx_k_error[] = "error";
static const char __pyx_k_flags[] = "flags";
static const char __pyx_k_kappa[] = "kappa";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_shape[] = "shape";
static const char __pyx_k_start[] = "start";
static const char __pyx_k_encode[] = "encode";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_name_2[] = "__name__";
static const char __pyx_k_pickle[] = "pickle";
static const char __pyx_k_reduce[] = "__reduce__";
static const char __pyx_k_struct[] = "struct";
static const char __pyx_k_unpack[] = "unpack";
static const char __pyx_k_update[] = "update";
static const char __pyx_k_fortran[] = "fortran";
static const char __pyx_k_hessian[] = "hessian";
static const char __pyx_k_memview[] = "memview";
static const char __pyx_k_solve_h[] = "solve_h";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_pyx_type[] = "__pyx_type";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_n_samples[] = "n_samples";
static const char __pyx_k_pyx_state[] = "__pyx_state";
static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
static const char __pyx_k_violation[] = "violation";
static const char __pyx_k_IndexError[] = "IndexError";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_sample_idx[] = "sample_idx";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_permutation[] = "permutation";
static const char __pyx_k_n_components[] = "n_components";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_projected_grad[] = "projected_grad";
static const char __pyx_k_View_MemoryView[] = "View.MemoryView";
static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
static const char __pyx_k_component_idx_1[] = "component_idx_1";
static const char __pyx_k_component_idx_2[] = "component_idx_2";
static const char __pyx_k_dtype_is_object[] = "dtype_is_object";
static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError";
static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static const char __pyx_k_gensim_models_nmf_pgd[] = "gensim.models.nmf_pgd";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static const char __pyx_k_gensim_models_nmf_pgd_pyx[] = "gensim/models/nmf_pgd.pyx";
static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview";
static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
static PyObject *__pyx_n_s_ASCII;
static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;
static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;
static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;
static PyObject *__pyx_n_s_IndexError;
static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
static PyObject *__pyx_n_s_MemoryError;
static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
static PyObject *__pyx_kp_s_MemoryView_of_r_object;
static PyObject *__pyx_n_b_O;
static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
static PyObject *__pyx_n_s_PickleError;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_View_MemoryView;
static PyObject *__pyx_n_s_WtW;
static PyObject *__pyx_n_s_Wtv;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_component_idx_1;
static PyObject *__pyx_n_s_component_idx_2;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_gensim_models_nmf_pgd;
static PyObject *__pyx_kp_s_gensim_models_nmf_pgd_pyx;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
static PyObject *__pyx_n_s_grad;
static PyObject *__pyx_n_s_h;
static PyObject *__pyx_n_s_hessian;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
static PyObject *__pyx_n_s_kappa;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_memview;
static PyObject *__pyx_n_s_mode;
static PyObject *__pyx_n_s_n_components;
static PyObject *__pyx_n_s_n_samples;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_name_2;
static PyObject *__pyx_n_s_ndim;
static PyObject *__pyx_n_s_new;
static PyObject *__pyx_kp_s_no_default___reduce___due_to_non;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_pack;
static PyObject *__pyx_n_s_permutation;
static PyObject *__pyx_n_s_pickle;
static PyObject *__pyx_n_s_projected_grad;
static PyObject *__pyx_n_s_pyx_PickleError;
static PyObject *__pyx_n_s_pyx_checksum;
static PyObject *__pyx_n_s_pyx_getbuffer;
static PyObject *__pyx_n_s_pyx_result;
static PyObject *__pyx_n_s_pyx_state;
static PyObject *__pyx_n_s_pyx_type;
static PyObject *__pyx_n_s_pyx_unpickle_Enum;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_reduce;
static PyObject *__pyx_n_s_reduce_cython;
static PyObject *__pyx_n_s_reduce_ex;
static PyObject *__pyx_n_s_sample_idx;
static PyObject *__pyx_n_s_setstate;
static PyObject *__pyx_n_s_setstate_cython;
static PyObject *__pyx_n_s_shape;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_solve_h;
static PyObject *__pyx_n_s_start;
static PyObject *__pyx_n_s_step;
static PyObject *__pyx_n_s_stop;
static PyObject *__pyx_kp_s_strided_and_direct;
static PyObject *__pyx_kp_s_strided_and_direct_or_indirect;
static PyObject *__pyx_kp_s_strided_and_indirect;
static PyObject *__pyx_kp_s_stringsource;
static PyObject *__pyx_n_s_struct;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_kp_s_unable_to_allocate_array_data;
static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str;
static PyObject *__pyx_n_s_unpack;
static PyObject *__pyx_n_s_update;
static PyObject *__pyx_n_s_violation;
static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_h, __Pyx_memviewslice __pyx_v_Wtv, __Pyx_memviewslice __pyx_v_WtW, __Pyx_memviewslice __pyx_v_permutation, double __pyx_v_kappa); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */
static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */
static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_184977713;
static PyObject *__pyx_int_neg_1;
static PyObject *__pyx_tuple_;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__4;
static PyObject *__pyx_tuple__5;
static PyObject *__pyx_tuple__6;
static PyObject *__pyx_tuple__7;
static PyObject *__pyx_tuple__8;
static PyObject *__pyx_tuple__9;
static PyObject *__pyx_slice__15;
static PyObject *__pyx_tuple__10;
static PyObject *__pyx_tuple__11;
static PyObject *__pyx_tuple__12;
static PyObject *__pyx_tuple__13;
static PyObject *__pyx_tuple__14;
static PyObject *__pyx_tuple__16;
static PyObject *__pyx_tuple__17;
static PyObject *__pyx_tuple__18;
static PyObject *__pyx_tuple__19;
static PyObject *__pyx_tuple__21;
static PyObject *__pyx_tuple__22;
static PyObject *__pyx_tuple__23;
static PyObject *__pyx_tuple__24;
static PyObject *__pyx_tuple__25;
static PyObject *__pyx_tuple__26;
static PyObject *__pyx_codeobj__20;
static PyObject *__pyx_codeobj__27;
/* Late includes */
/* "gensim/models/nmf_pgd.pyx":12
* from cython.parallel import prange
*
* cdef double fmin(double x, double y) nogil: # <<<<<<<<<<<<<<
* return x if x < y else y
*
*/
static double __pyx_f_6gensim_6models_7nmf_pgd_fmin(double __pyx_v_x, double __pyx_v_y) {
double __pyx_r;
double __pyx_t_1;
/* "gensim/models/nmf_pgd.pyx":13
*
* cdef double fmin(double x, double y) nogil:
* return x if x < y else y # <<<<<<<<<<<<<<
*
* cdef double fmax(double x, double y) nogil:
*/
if (((__pyx_v_x < __pyx_v_y) != 0)) {
__pyx_t_1 = __pyx_v_x;
} else {
__pyx_t_1 = __pyx_v_y;
}
__pyx_r = __pyx_t_1;
goto __pyx_L0;
/* "gensim/models/nmf_pgd.pyx":12
* from cython.parallel import prange
*
* cdef double fmin(double x, double y) nogil: # <<<<<<<<<<<<<<
* return x if x < y else y
*
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/nmf_pgd.pyx":15
* return x if x < y else y
*
* cdef double fmax(double x, double y) nogil: # <<<<<<<<<<<<<<
* return x if x > y else y
*
*/
static double __pyx_f_6gensim_6models_7nmf_pgd_fmax(double __pyx_v_x, double __pyx_v_y) {
double __pyx_r;
double __pyx_t_1;
/* "gensim/models/nmf_pgd.pyx":16
*
* cdef double fmax(double x, double y) nogil:
* return x if x > y else y # <<<<<<<<<<<<<<
*
* def solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa):
*/
if (((__pyx_v_x > __pyx_v_y) != 0)) {
__pyx_t_1 = __pyx_v_x;
} else {
__pyx_t_1 = __pyx_v_y;
}
__pyx_r = __pyx_t_1;
goto __pyx_L0;
/* "gensim/models/nmf_pgd.pyx":15
* return x if x < y else y
*
* cdef double fmax(double x, double y) nogil: # <<<<<<<<<<<<<<
* return x if x > y else y
*
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/nmf_pgd.pyx":18
* return x if x > y else y
*
* def solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa): # <<<<<<<<<<<<<<
* """Find optimal dense vector representation for current W and r matrices.
*
*/
/* Python wrapper */
static PyObject *__pyx_pw_6gensim_6models_7nmf_pgd_1solve_h(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gensim_6models_7nmf_pgd_solve_h[] = "solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa)\nFind optimal dense vector representation for current W and r matrices.\n\n Parameters\n ----------\n h : matrix\n Dense representation of documents in current batch.\n Wtv : matrix\n WtW : matrix\n\n Returns\n -------\n float\n Cumulative difference between previous and current h vectors.\n\n ";
static PyMethodDef __pyx_mdef_6gensim_6models_7nmf_pgd_1solve_h = {"solve_h", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_7nmf_pgd_1solve_h, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_7nmf_pgd_solve_h};
static PyObject *__pyx_pw_6gensim_6models_7nmf_pgd_1solve_h(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
__Pyx_memviewslice __pyx_v_h = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_memviewslice __pyx_v_Wtv = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_memviewslice __pyx_v_WtW = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_memviewslice __pyx_v_permutation = { 0, 0, { 0 }, { 0 }, { 0 } };
double __pyx_v_kappa;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("solve_h (wrapper)", 0);
{
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_h,&__pyx_n_s_Wtv,&__pyx_n_s_WtW,&__pyx_n_s_permutation,&__pyx_n_s_kappa,0};
PyObject* values[5] = {0,0,0,0,0};
if (unlikely(__pyx_kwds)) {
Py_ssize_t kw_args;
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
switch (pos_args) {
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
CYTHON_FALLTHROUGH;
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
CYTHON_FALLTHROUGH;
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
CYTHON_FALLTHROUGH;
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
CYTHON_FALLTHROUGH;
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
CYTHON_FALLTHROUGH;
case 0: break;
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kw_args = PyDict_Size(__pyx_kwds);
switch (pos_args) {
case 0:
if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_h)) != 0)) kw_args--;
else goto __pyx_L5_argtuple_error;
CYTHON_FALLTHROUGH;
case 1:
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int __pyx_v_suboffset_dim;
int __pyx_v_dim;
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int __pyx_v_have_stop;
int __pyx_v_have_step;
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int __pyx_t_2;
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struct __pyx_memoryview_obj *__pyx_t_4;
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/* "View.MemoryView":725
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/* "View.MemoryView":728
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/* "View.MemoryView":729
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/* "View.MemoryView":741
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/* "View.MemoryView":746
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/* "View.MemoryView":747
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/* "View.MemoryView":751
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/* "View.MemoryView":748
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/* "View.MemoryView":747
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goto __pyx_L6;
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/* "View.MemoryView":754
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/* "View.MemoryView":756
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* memviewsliceobj.to_object_func,
*/
}
/* "View.MemoryView":782
* memview.dtype_is_object)
* else:
* return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<<
* memview.dtype_is_object)
*
*/
/*else*/ {
__Pyx_XDECREF(((PyObject *)__pyx_r));
/* "View.MemoryView":783
* else:
* return memoryview_fromslice(dst, new_ndim, NULL, NULL,
* memview.dtype_is_object) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 782, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
/* "View.MemoryView":782
* memview.dtype_is_object)
* else:
* return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<<
* memview.dtype_is_object)
*
*/
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 782, __pyx_L1_error)
__pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3);
__pyx_t_3 = 0;
goto __pyx_L0;
}
/* "View.MemoryView":710
*
* @cname('__pyx_memview_slice')
* cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<<
* cdef int new_ndim = 0, suboffset_dim = -1, dim
* cdef bint negative_step
*/
/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_9);
__Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj);
__Pyx_XDECREF(__pyx_v_index);
__Pyx_XGIVEREF((PyObject *)__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "View.MemoryView":807
*
* @cname('__pyx_memoryview_slice_memviewslice')
* cdef int slice_memviewslice( # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset,
*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) {
Py_ssize_t __pyx_v_new_shape;
int __pyx_v_negative_step;
int __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
/* "View.MemoryView":827
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
__pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":829
* if not is_slice:
*
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if not 0 <= start < shape:
*/
__pyx_t_1 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":830
*
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if not 0 <= start < shape:
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":829
* if not is_slice:
*
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if not 0 <= start < shape:
*/
}
/* "View.MemoryView":831
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
__pyx_t_1 = (0 <= __pyx_v_start);
if (__pyx_t_1) {
__pyx_t_1 = (__pyx_v_start < __pyx_v_shape);
}
__pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":832
* start += shape
* if not 0 <= start < shape:
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<<
* else:
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 832, __pyx_L1_error)
/* "View.MemoryView":831
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
}
/* "View.MemoryView":827
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
goto __pyx_L3;
}
/* "View.MemoryView":835
* else:
*
* negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<<
*
* if have_step and step == 0:
*/
/*else*/ {
__pyx_t_1 = ((__pyx_v_have_step != 0) != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L6_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step < 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L6_bool_binop_done:;
__pyx_v_negative_step = __pyx_t_2;
/* "View.MemoryView":837
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
__pyx_t_1 = (__pyx_v_have_step != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L9_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step == 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L9_bool_binop_done:;
if (__pyx_t_2) {
/* "View.MemoryView":838
*
* if have_step and step == 0:
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 838, __pyx_L1_error)
/* "View.MemoryView":837
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
}
/* "View.MemoryView":841
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
__pyx_t_2 = (__pyx_v_have_start != 0);
if (__pyx_t_2) {
/* "View.MemoryView":842
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":843
* if have_start:
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if start < 0:
* start = 0
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":844
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":845
* start += shape
* if start < 0:
* start = 0 # <<<<<<<<<<<<<<
* elif start >= shape:
* if negative_step:
*/
__pyx_v_start = 0;
/* "View.MemoryView":844
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
}
/* "View.MemoryView":842
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
goto __pyx_L12;
}
/* "View.MemoryView":846
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
__pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":847
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":848
* elif start >= shape:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = shape
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":847
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L14;
}
/* "View.MemoryView":850
* start = shape - 1
* else:
* start = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
/*else*/ {
__pyx_v_start = __pyx_v_shape;
}
__pyx_L14:;
/* "View.MemoryView":846
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
}
__pyx_L12:;
/* "View.MemoryView":841
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
goto __pyx_L11;
}
/* "View.MemoryView":852
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":853
* else:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = 0
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":852
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L15;
}
/* "View.MemoryView":855
* start = shape - 1
* else:
* start = 0 # <<<<<<<<<<<<<<
*
* if have_stop:
*/
/*else*/ {
__pyx_v_start = 0;
}
__pyx_L15:;
}
__pyx_L11:;
/* "View.MemoryView":857
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
__pyx_t_2 = (__pyx_v_have_stop != 0);
if (__pyx_t_2) {
/* "View.MemoryView":858
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":859
* if have_stop:
* if stop < 0:
* stop += shape # <<<<<<<<<<<<<<
* if stop < 0:
* stop = 0
*/
__pyx_v_stop = (__pyx_v_stop + __pyx_v_shape);
/* "View.MemoryView":860
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":861
* stop += shape
* if stop < 0:
* stop = 0 # <<<<<<<<<<<<<<
* elif stop > shape:
* stop = shape
*/
__pyx_v_stop = 0;
/* "View.MemoryView":860
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
}
/* "View.MemoryView":858
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
goto __pyx_L17;
}
/* "View.MemoryView":862
* if stop < 0:
* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
* stop = shape
* else:
*/
__pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":863
* stop = 0
* elif stop > shape:
* stop = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
__pyx_v_stop = __pyx_v_shape;
/* "View.MemoryView":862
* if stop < 0:
* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
* stop = shape
* else:
*/
}
__pyx_L17:;
/* "View.MemoryView":857
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
goto __pyx_L16;
}
/* "View.MemoryView":865
* stop = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* stop = -1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":866
* else:
* if negative_step:
* stop = -1 # <<<<<<<<<<<<<<
* else:
* stop = shape
*/
__pyx_v_stop = -1L;
/* "View.MemoryView":865
* stop = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* stop = -1
* else:
*/
goto __pyx_L19;
}
/* "View.MemoryView":868
* stop = -1
* else:
* stop = shape # <<<<<<<<<<<<<<
*
* if not have_step:
*/
/*else*/ {
__pyx_v_stop = __pyx_v_shape;
}
__pyx_L19:;
}
__pyx_L16:;
/* "View.MemoryView":870
* stop = shape
*
* if not have_step: # <<<<<<<<<<<<<<
* step = 1
*
*/
__pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":871
*
* if not have_step:
* step = 1 # <<<<<<<<<<<<<<
*
*
*/
__pyx_v_step = 1;
/* "View.MemoryView":870
* stop = shape
*
* if not have_step: # <<<<<<<<<<<<<<
* step = 1
*
*/
}
/* "View.MemoryView":875
*
* with cython.cdivision(True):
* new_shape = (stop - start) // step # <<<<<<<<<<<<<<
*
* if (stop - start) - step * new_shape:
*/
__pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step);
/* "View.MemoryView":877
* new_shape = (stop - start) // step
*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
* new_shape += 1
*
*/
__pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":878
*
* if (stop - start) - step * new_shape:
* new_shape += 1 # <<<<<<<<<<<<<<
*
* if new_shape < 0:
*/
__pyx_v_new_shape = (__pyx_v_new_shape + 1);
/* "View.MemoryView":877
* new_shape = (stop - start) // step
*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
* new_shape += 1
*
*/
}
/* "View.MemoryView":880
* new_shape += 1
*
* if new_shape < 0: # <<<<<<<<<<<<<<
* new_shape = 0
*
*/
__pyx_t_2 = ((__pyx_v_new_shape < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":881
*
* if new_shape < 0:
* new_shape = 0 # <<<<<<<<<<<<<<
*
*
*/
__pyx_v_new_shape = 0;
/* "View.MemoryView":880
* new_shape += 1
*
* if new_shape < 0: # <<<<<<<<<<<<<<
* new_shape = 0
*
*/
}
/* "View.MemoryView":884
*
*
* dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<<
* dst.shape[new_ndim] = new_shape
* dst.suboffsets[new_ndim] = suboffset
*/
(__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step);
/* "View.MemoryView":885
*
* dst.strides[new_ndim] = stride * step
* dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<<
* dst.suboffsets[new_ndim] = suboffset
*
*/
(__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape;
/* "View.MemoryView":886
* dst.strides[new_ndim] = stride * step
* dst.shape[new_ndim] = new_shape
* dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<<
*
*
*/
(__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset;
}
__pyx_L3:;
/* "View.MemoryView":889
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
*/
__pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":890
*
* if suboffset_dim[0] < 0:
* dst.data += start * stride # <<<<<<<<<<<<<<
* else:
* dst.suboffsets[suboffset_dim[0]] += start * stride
*/
__pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride));
/* "View.MemoryView":889
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
*/
goto __pyx_L23;
}
/* "View.MemoryView":892
* dst.data += start * stride
* else:
* dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<<
*
* if suboffset >= 0:
*/
/*else*/ {
__pyx_t_3 = (__pyx_v_suboffset_dim[0]);
(__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride));
}
__pyx_L23:;
/* "View.MemoryView":894
* dst.suboffsets[suboffset_dim[0]] += start * stride
*
* if suboffset >= 0: # <<<<<<<<<<<<<<
* if not is_slice:
* if new_ndim == 0:
*/
__pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":895
*
* if suboffset >= 0:
* if not is_slice: # <<<<<<<<<<<<<<
* if new_ndim == 0:
* dst.data = (<char **> dst.data)[0] + suboffset
*/
__pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":896
* if suboffset >= 0:
* if not is_slice:
* if new_ndim == 0: # <<<<<<<<<<<<<<
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
*/
__pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":897
* if not is_slice:
* if new_ndim == 0:
* dst.data = (<char **> dst.data)[0] + suboffset # <<<<<<<<<<<<<<
* else:
* _err_dim(IndexError, "All dimensions preceding dimension %d "
*/
__pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset);
/* "View.MemoryView":896
* if suboffset >= 0:
* if not is_slice:
* if new_ndim == 0: # <<<<<<<<<<<<<<
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
*/
goto __pyx_L26;
}
/* "View.MemoryView":899
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
* _err_dim(IndexError, "All dimensions preceding dimension %d " # <<<<<<<<<<<<<<
* "must be indexed and not sliced", dim)
* else:
*/
/*else*/ {
/* "View.MemoryView":900
* else:
* _err_dim(IndexError, "All dimensions preceding dimension %d "
* "must be indexed and not sliced", dim) # <<<<<<<<<<<<<<
* else:
* suboffset_dim[0] = new_ndim
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"All dimensions preceding dimension %d must be indexed and not sliced"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 899, __pyx_L1_error)
}
__pyx_L26:;
/* "View.MemoryView":895
*
* if suboffset >= 0:
* if not is_slice: # <<<<<<<<<<<<<<
* if new_ndim == 0:
* dst.data = (<char **> dst.data)[0] + suboffset
*/
goto __pyx_L25;
}
/* "View.MemoryView":902
* "must be indexed and not sliced", dim)
* else:
* suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<<
*
* return 0
*/
/*else*/ {
(__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim;
}
__pyx_L25:;
/* "View.MemoryView":894
* dst.suboffsets[suboffset_dim[0]] += start * stride
*
* if suboffset >= 0: # <<<<<<<<<<<<<<
* if not is_slice:
* if new_ndim == 0:
*/
}
/* "View.MemoryView":904
* suboffset_dim[0] = new_ndim
*
* return 0 # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":807
*
* @cname('__pyx_memoryview_slice_memviewslice')
* cdef int slice_memviewslice( # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset,
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/* function exit code */
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/* "View.MemoryView":1126
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1127
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
goto __pyx_L4_break;
/* "View.MemoryView":1125
*
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* c_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L4_break:;
/* "View.MemoryView":1129
* break
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
*/
__pyx_t_1 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_1;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1130
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1131
* for i in range(ndim):
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1132
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
*/
goto __pyx_L7_break;
/* "View.MemoryView":1130
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L7_break:;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
__pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1135
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
* return 'C' # <<<<<<<<<<<<<<
* else:
* return 'F'
*/
__pyx_r = 'C';
goto __pyx_L0;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
}
/* "View.MemoryView":1137
* return 'C'
* else:
* return 'F' # <<<<<<<<<<<<<<
*
* @cython.cdivision(True)
*/
/*else*/ {
__pyx_r = 'F';
goto __pyx_L0;
}
/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1140
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
CYTHON_UNUSED Py_ssize_t __pyx_v_i;
CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
Py_ssize_t __pyx_v_dst_extent;
Py_ssize_t __pyx_v_src_stride;
Py_ssize_t __pyx_v_dst_stride;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
Py_ssize_t __pyx_t_4;
Py_ssize_t __pyx_t_5;
Py_ssize_t __pyx_t_6;
/* "View.MemoryView":1147
*
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
*/
__pyx_v_src_extent = (__pyx_v_src_shape[0]);
/* "View.MemoryView":1148
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0]
*/
__pyx_v_dst_extent = (__pyx_v_dst_shape[0]);
/* "View.MemoryView":1149
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
*/
__pyx_v_src_stride = (__pyx_v_src_strides[0]);
/* "View.MemoryView":1150
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<<
*
* if ndim == 1:
*/
__pyx_v_dst_stride = (__pyx_v_dst_strides[0]);
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
__pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
__pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
/* "View.MemoryView":1154
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
*/
__pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);
if (__pyx_t_2) {
__pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));
}
__pyx_t_3 = (__pyx_t_2 != 0);
__pyx_t_1 = __pyx_t_3;
__pyx_L5_bool_binop_done:;
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
if (__pyx_t_1) {
/* "View.MemoryView":1155
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
goto __pyx_L4;
}
/* "View.MemoryView":1157
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1158
* else:
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<<
* src_data += src_stride
* dst_data += dst_stride
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize));
/* "View.MemoryView":1159
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
* else:
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1160
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L4:;
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
goto __pyx_L3;
}
/* "View.MemoryView":1162
* dst_data += dst_stride
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* _copy_strided_to_strided(src_data, src_strides + 1,
* dst_data, dst_strides + 1,
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1163
* else:
* for i in range(dst_extent):
* _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<<
* dst_data, dst_strides + 1,
* src_shape + 1, dst_shape + 1,
*/
_copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);
/* "View.MemoryView":1167
* src_shape + 1, dst_shape + 1,
* ndim - 1, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
*
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1168
* ndim - 1, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src,
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L3:;
/* "View.MemoryView":1140
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
/* function exit code */
}
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
/* "View.MemoryView":1173
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
* _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<<
* src.shape, dst.shape, ndim, itemsize)
*
*/
_copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
Py_ssize_t __pyx_v_shape;
Py_ssize_t __pyx_v_size;
Py_ssize_t __pyx_r;
Py_ssize_t __pyx_t_1;
Py_ssize_t *__pyx_t_2;
Py_ssize_t *__pyx_t_3;
Py_ssize_t *__pyx_t_4;
/* "View.MemoryView":1179
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<<
*
* for shape in src.shape[:ndim]:
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_size = __pyx_t_1;
/* "View.MemoryView":1181
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*
* for shape in src.shape[:ndim]: # <<<<<<<<<<<<<<
* size *= shape
*
*/
__pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim);
for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) {
__pyx_t_2 = __pyx_t_4;
__pyx_v_shape = (__pyx_t_2[0]);
/* "View.MemoryView":1182
*
* for shape in src.shape[:ndim]:
* size *= shape # <<<<<<<<<<<<<<
*
* return size
*/
__pyx_v_size = (__pyx_v_size * __pyx_v_shape);
}
/* "View.MemoryView":1184
* size *= shape
*
* return size # <<<<<<<<<<<<<<
*
* @cname('__pyx_fill_contig_strides_array')
*/
__pyx_r = __pyx_v_size;
goto __pyx_L0;
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1187
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {
int __pyx_v_idx;
Py_ssize_t __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1196
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
__pyx_t_1 = ((__pyx_v_order == 'F') != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1197
*
* if order == 'F':
* for idx in range(ndim): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride *= shape[idx]
*/
__pyx_t_2 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_2;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_idx = __pyx_t_4;
/* "View.MemoryView":1198
* if order == 'F':
* for idx in range(ndim):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride *= shape[idx]
* else:
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1199
* for idx in range(ndim):
* strides[idx] = stride
* stride *= shape[idx] # <<<<<<<<<<<<<<
* else:
* for idx in range(ndim - 1, -1, -1):
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
/* "View.MemoryView":1196
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
goto __pyx_L3;
}
/* "View.MemoryView":1201
* stride *= shape[idx]
* else:
* for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride *= shape[idx]
*/
/*else*/ {
for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) {
__pyx_v_idx = __pyx_t_2;
/* "View.MemoryView":1202
* else:
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride *= shape[idx]
*
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1203
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride
* stride *= shape[idx] # <<<<<<<<<<<<<<
*
* return stride
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
}
__pyx_L3:;
/* "View.MemoryView":1205
* stride *= shape[idx]
*
* return stride # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_copy_data_to_temp')
*/
__pyx_r = __pyx_v_stride;
goto __pyx_L0;
/* "View.MemoryView":1187
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1208
*
* @cname('__pyx_memoryview_copy_data_to_temp')
* cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *tmpslice,
* char order,
*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) {
int __pyx_v_i;
void *__pyx_v_result;
size_t __pyx_v_itemsize;
size_t __pyx_v_size;
void *__pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
struct __pyx_memoryview_obj *__pyx_t_4;
int __pyx_t_5;
int __pyx_t_6;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
/* "View.MemoryView":1219
* cdef void *result
*
* cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<<
* cdef size_t size = slice_get_size(src, ndim)
*
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":1220
*
* cdef size_t itemsize = src.memview.view.itemsize
* cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<<
*
* result = malloc(size)
*/
__pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim);
/* "View.MemoryView":1222
* cdef size_t size = slice_get_size(src, ndim)
*
* result = malloc(size) # <<<<<<<<<<<<<<
* if not result:
* _err(MemoryError, NULL)
*/
__pyx_v_result = malloc(__pyx_v_size);
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/* "View.MemoryView":1281
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* cdef bint broadcasting = False
* cdef bint direct_copy = False # <<<<<<<<<<<<<<
* cdef __Pyx_memviewslice tmp
*
*/
__pyx_v_direct_copy = 0;
/* "View.MemoryView":1284
* cdef __Pyx_memviewslice tmp
*
* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
*/
__pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1285
*
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<<
* elif dst_ndim < src_ndim:
* broadcast_leading(&dst, dst_ndim, src_ndim)
*/
__pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim);
/* "View.MemoryView":1284
* cdef __Pyx_memviewslice tmp
*
* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
*/
goto __pyx_L3;
}
/* "View.MemoryView":1286
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
__pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1287
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
* broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<<
*
* cdef int ndim = max(src_ndim, dst_ndim)
*/
__pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim);
/* "View.MemoryView":1286
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
}
__pyx_L3:;
/* "View.MemoryView":1289
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
* cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
__pyx_t_3 = __pyx_v_dst_ndim;
__pyx_t_4 = __pyx_v_src_ndim;
if (((__pyx_t_3 > __pyx_t_4) != 0)) {
__pyx_t_5 = __pyx_t_3;
} else {
__pyx_t_5 = __pyx_t_4;
}
__pyx_v_ndim = __pyx_t_5;
/* "View.MemoryView":1291
* cdef int ndim = max(src_ndim, dst_ndim)
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1:
*/
__pyx_t_5 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_5;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1292
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1293
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1294
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1:
* broadcasting = True # <<<<<<<<<<<<<<
* src.strides[i] = 0
* else:
*/
__pyx_v_broadcasting = 1;
/* "View.MemoryView":1295
* if src.shape[i] == 1:
* broadcasting = True
* src.strides[i] = 0 # <<<<<<<<<<<<<<
* else:
* _err_extents(i, dst.shape[i], src.shape[i])
*/
(__pyx_v_src.strides[__pyx_v_i]) = 0;
/* "View.MemoryView":1293
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
goto __pyx_L7;
}
/* "View.MemoryView":1297
* src.strides[i] = 0
* else:
* _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<<
*
* if src.suboffsets[i] >= 0:
*/
/*else*/ {
__pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1297, __pyx_L1_error)
}
__pyx_L7:;
/* "View.MemoryView":1292
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
}
/* "View.MemoryView":1299
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
__pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1300
*
* if src.suboffsets[i] >= 0:
* _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<<
*
* if slices_overlap(&src, &dst, ndim, itemsize):
*/
__pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1300, __pyx_L1_error)
/* "View.MemoryView":1299
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
}
}
/* "View.MemoryView":1302
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(src, order, ndim):
*/
__pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1304
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
__pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1305
*
* if not slice_is_contig(src, order, ndim):
* order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<<
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
*/
__pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim);
/* "View.MemoryView":1304
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
}
/* "View.MemoryView":1307
* order = get_best_order(&dst, ndim)
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<<
* src = tmp
*
*/
__pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(1, 1307, __pyx_L1_error)
__pyx_v_tmpdata = __pyx_t_7;
/* "View.MemoryView":1308
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
* src = tmp # <<<<<<<<<<<<<<
*
* if not broadcasting:
*/
__pyx_v_src = __pyx_v_tmp;
/* "View.MemoryView":1302
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(src, order, ndim):
*/
}
/* "View.MemoryView":1310
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1313
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1314
*
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<<
* elif slice_is_contig(src, 'F', ndim):
* direct_copy = slice_is_contig(dst, 'F', ndim)
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim);
/* "View.MemoryView":1313
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
*/
goto __pyx_L12;
}
/* "View.MemoryView":1315
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1316
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
* direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<<
*
* if direct_copy:
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim);
/* "View.MemoryView":1315
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
}
__pyx_L12:;
/* "View.MemoryView":1318
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_2 = (__pyx_v_direct_copy != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1320
* if direct_copy:
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1321
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
*/
(void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)));
/* "View.MemoryView":1322
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
* free(tmpdata)
* return 0
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1323
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1324
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* if order == 'F' == get_best_order(&dst, ndim):
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1318
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
}
/* "View.MemoryView":1310
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1326
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = (__pyx_v_order == 'F');
if (__pyx_t_2) {
__pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
}
__pyx_t_8 = (__pyx_t_2 != 0);
if (__pyx_t_8) {
/* "View.MemoryView":1329
*
*
* transpose_memslice(&src) # <<<<<<<<<<<<<<
* transpose_memslice(&dst)
*
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1329, __pyx_L1_error)
/* "View.MemoryView":1330
*
* transpose_memslice(&src)
* transpose_memslice(&dst) # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1330, __pyx_L1_error)
/* "View.MemoryView":1326
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1332
* transpose_memslice(&dst)
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1333
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
*/
copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1334
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
*
* free(tmpdata)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1336
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1337
*
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_broadcast_leading')
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1268
*
* @cname('__pyx_memoryview_copy_contents')
* cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice dst,
* int src_ndim, int dst_ndim,
*/
/* function exit code */
__pyx_L1_error:;
{
#ifdef WITH_THREAD
PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
#endif
__Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename);
#ifdef WITH_THREAD
__Pyx_PyGILState_Release(__pyx_gilstate_save);
#endif
}
__pyx_r = -1;
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1340
*
* @cname('__pyx_memoryview_broadcast_leading')
* cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<<
* int ndim,
* int ndim_other) nogil:
*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) {
int __pyx_v_i;
int __pyx_v_offset;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
/* "View.MemoryView":1344
* int ndim_other) nogil:
* cdef int i
* cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<<
*
* for i in range(ndim - 1, -1, -1):
*/
__pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim);
/* "View.MemoryView":1346
* cdef int offset = ndim_other - ndim
*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i]
*/
for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
/* "View.MemoryView":1347
*
* for i in range(ndim - 1, -1, -1):
* mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<<
* mslice.strides[i + offset] = mslice.strides[i]
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*/
(__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]);
/* "View.MemoryView":1348
* for i in range(ndim - 1, -1, -1):
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<<
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*
*/
(__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1349
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i]
* mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<<
*
* for i in range(offset):
*/
(__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]);
}
/* "View.MemoryView":1351
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*
* for i in range(offset): # <<<<<<<<<<<<<<
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0]
*/
__pyx_t_1 = __pyx_v_offset;
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_i = __pyx_t_3;
/* "View.MemoryView":1352
*
* for i in range(offset):
* mslice.shape[i] = 1 # <<<<<<<<<<<<<<
* mslice.strides[i] = mslice.strides[0]
* mslice.suboffsets[i] = -1
*/
(__pyx_v_mslice->shape[__pyx_v_i]) = 1;
/* "View.MemoryView":1353
* for i in range(offset):
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<<
* mslice.suboffsets[i] = -1
*
*/
(__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]);
/* "View.MemoryView":1354
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0]
* mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<<
*
*
*/
(__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L;
}
/* "View.MemoryView":1340
*
* @cname('__pyx_memoryview_broadcast_leading')
* cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<<
* int ndim,
* int ndim_other) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1362
*
* @cname('__pyx_memoryview_refcount_copying')
* cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<<
* int ndim, bint inc) nogil:
*
*/
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__pyx_tp_dealloc_Enum, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_MemviewEnum___repr__, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_Enum, /*tp_traverse*/
__pyx_tp_clear_Enum, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_Enum, /*tp_methods*/
0, /*tp_members*/
0, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
__pyx_MemviewEnum___init__, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_Enum, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryview_obj *p;
PyObject *o;
if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
o = (*t->tp_alloc)(t, 0);
} else {
o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
}
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryview_obj *)o);
p->__pyx_vtab = __pyx_vtabptr_memoryview;
p->obj = Py_None; Py_INCREF(Py_None);
p->_size = Py_None; Py_INCREF(Py_None);
p->_array_interface = Py_None; Py_INCREF(Py_None);
p->view.obj = NULL;
if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad;
return o;
bad:
Py_DECREF(o); o = 0;
return NULL;
}
static void __pyx_tp_dealloc_memoryview(PyObject *o) {
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
__pyx_memoryview___dealloc__(o);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->obj);
Py_CLEAR(p->_size);
Py_CLEAR(p->_array_interface);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
if (p->obj) {
e = (*v)(p->obj, a); if (e) return e;
}
if (p->_size) {
e = (*v)(p->_size, a); if (e) return e;
}
if (p->_array_interface) {
e = (*v)(p->_array_interface, a); if (e) return e;
}
if (p->view.obj) {
e = (*v)(p->view.obj, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_memoryview(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
tmp = ((PyObject*)p->obj);
p->obj = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_size);
p->_size = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_array_interface);
p->_array_interface = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
Py_CLEAR(p->view.obj);
return 0;
}
static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
PyObject *r;
PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
Py_DECREF(x);
return r;
}
static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {
if (v) {
return __pyx_memoryview___setitem__(o, i, v);
}
else {
PyErr_Format(PyExc_NotImplementedError,
"Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
return -1;
}
}
static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);
}
static PyMethodDef __pyx_methods_memoryview[] = {
{"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},
{"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
{"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
{"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets_memoryview[] = {
{(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0},
{(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},
{(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},
{(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},
{(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},
{(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},
{(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},
{(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},
{(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
__pyx_memoryview___len__, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_memoryview, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
};
static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
__pyx_memoryview___len__, /*mp_length*/
__pyx_memoryview___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_memoryview_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_memoryview = {
PyVarObject_HEAD_INIT(0, 0)
"gensim.models.nmf_pgd.memoryview", /*tp_name*/
sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_memoryview___repr__, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
__pyx_memoryview___str__, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_memoryview, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_memoryview, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_memoryview, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryviewslice_obj *p;
PyObject *o = __pyx_tp_new_memoryview(t, a, k);
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryviewslice_obj *)o);
p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
p->from_object = Py_None; Py_INCREF(Py_None);
p->from_slice.memview = NULL;
return o;
}
static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
__pyx_memoryviewslice___dealloc__(o);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->from_object);
PyObject_GC_Track(o);
__pyx_tp_dealloc_memoryview(o);
}
static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
if (p->from_object) {
e = (*v)(p->from_object, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
__pyx_tp_clear_memoryview(o);
tmp = ((PyObject*)p->from_object);
p->from_object = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
__PYX_XDEC_MEMVIEW(&p->from_slice, 1);
return 0;
}
static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o);
}
static PyMethodDef __pyx_methods__memoryviewslice[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = {
{(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_memoryviewslice = {
PyVarObject_HEAD_INIT(0, 0)
"gensim.models.nmf_pgd._memoryviewslice", /*tp_name*/
sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___repr__, /*tp_repr*/
#else
0, /*tp_repr*/
#endif
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___str__, /*tp_str*/
#else
0, /*tp_str*/
#endif
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
"Internal class for passing memoryview slices to Python", /*tp_doc*/
__pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
__pyx_tp_clear__memoryviewslice, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods__memoryviewslice, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets__memoryviewslice, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new__memoryviewslice, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static PyMethodDef __pyx_methods[] = {
{0, 0, 0, 0}
};
#if PY_MAJOR_VERSION >= 3
#if CYTHON_PEP489_MULTI_PHASE_INIT
static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
static int __pyx_pymod_exec_nmf_pgd(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
{Py_mod_create, (void*)__pyx_pymod_create},
{Py_mod_exec, (void*)__pyx_pymod_exec_nmf_pgd},
{0, NULL}
};
#endif
static struct PyModuleDef __pyx_moduledef = {
PyModuleDef_HEAD_INIT,
"nmf_pgd",
0, /* m_doc */
#if CYTHON_PEP489_MULTI_PHASE_INIT
0, /* m_size */
#else
-1, /* m_size */
#endif
__pyx_methods /* m_methods */,
#if CYTHON_PEP489_MULTI_PHASE_INIT
__pyx_moduledef_slots, /* m_slots */
#else
NULL, /* m_reload */
#endif
NULL, /* m_traverse */
NULL, /* m_clear */
NULL /* m_free */
};
#endif
#ifndef CYTHON_SMALL_CODE
#if defined(__clang__)
#define CYTHON_SMALL_CODE
#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3))
#define CYTHON_SMALL_CODE __attribute__((cold))
#else
#define CYTHON_SMALL_CODE
#endif
#endif
static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_ASCII, __pyx_k_ASCII, sizeof(__pyx_k_ASCII), 0, 0, 1, 1},
{&__pyx_kp_s_Buffer_view_does_not_expose_stri, __pyx_k_Buffer_view_does_not_expose_stri, sizeof(__pyx_k_Buffer_view_does_not_expose_stri), 0, 0, 1, 0},
{&__pyx_kp_s_Can_only_create_a_buffer_that_is, __pyx_k_Can_only_create_a_buffer_that_is, sizeof(__pyx_k_Can_only_create_a_buffer_that_is), 0, 0, 1, 0},
{&__pyx_kp_s_Cannot_assign_to_read_only_memor, __pyx_k_Cannot_assign_to_read_only_memor, sizeof(__pyx_k_Cannot_assign_to_read_only_memor), 0, 0, 1, 0},
{&__pyx_kp_s_Cannot_create_writable_memory_vi, __pyx_k_Cannot_create_writable_memory_vi, sizeof(__pyx_k_Cannot_create_writable_memory_vi), 0, 0, 1, 0},
{&__pyx_kp_s_Cannot_index_with_type_s, __pyx_k_Cannot_index_with_type_s, sizeof(__pyx_k_Cannot_index_with_type_s), 0, 0, 1, 0},
{&__pyx_n_s_Ellipsis, __pyx_k_Ellipsis, sizeof(__pyx_k_Ellipsis), 0, 0, 1, 1},
{&__pyx_kp_s_Empty_shape_tuple_for_cython_arr, __pyx_k_Empty_shape_tuple_for_cython_arr, sizeof(__pyx_k_Empty_shape_tuple_for_cython_arr), 0, 0, 1, 0},
{&__pyx_kp_s_Incompatible_checksums_s_vs_0xb0, __pyx_k_Incompatible_checksums_s_vs_0xb0, sizeof(__pyx_k_Incompatible_checksums_s_vs_0xb0), 0, 0, 1, 0},
{&__pyx_n_s_IndexError, __pyx_k_IndexError, sizeof(__pyx_k_IndexError), 0, 0, 1, 1},
{&__pyx_kp_s_Indirect_dimensions_not_supporte, __pyx_k_Indirect_dimensions_not_supporte, sizeof(__pyx_k_Indirect_dimensions_not_supporte), 0, 0, 1, 0},
{&__pyx_kp_s_Invalid_mode_expected_c_or_fortr, __pyx_k_Invalid_mode_expected_c_or_fortr, sizeof(__pyx_k_Invalid_mode_expected_c_or_fortr), 0, 0, 1, 0},
{&__pyx_kp_s_Invalid_shape_in_axis_d_d, __pyx_k_Invalid_shape_in_axis_d_d, sizeof(__pyx_k_Invalid_shape_in_axis_d_d), 0, 0, 1, 0},
{&__pyx_n_s_MemoryError, __pyx_k_MemoryError, sizeof(__pyx_k_MemoryError), 0, 0, 1, 1},
{&__pyx_kp_s_MemoryView_of_r_at_0x_x, __pyx_k_MemoryView_of_r_at_0x_x, sizeof(__pyx_k_MemoryView_of_r_at_0x_x), 0, 0, 1, 0},
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tstate->curexc_traceback = 0;
}
#endif
/* RaiseException */
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
__Pyx_PyThreadState_declare
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
}
if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
if (!value) {
Py_INCREF(Py_None);
value = Py_None;
}
#endif
PyErr_NormalizeException(&type, &value, &tb);
} else {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
value = type;
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
}
__Pyx_PyThreadState_assign
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
PyObject* owned_instance = NULL;
if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (PyExceptionClass_Check(type)) {
PyObject *instance_class = NULL;
if (value && PyExceptionInstance_Check(value)) {
instance_class = (PyObject*) Py_TYPE(value);
if (instance_class != type) {
int is_subclass = PyObject_IsSubclass(instance_class, type);
if (!is_subclass) {
instance_class = NULL;
} else if (unlikely(is_subclass == -1)) {
goto bad;
} else {
type = instance_class;
}
}
}
if (!instance_class) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
} else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyObject_Call(type, args, NULL);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
if (cause) {
PyObject *fixed_cause;
if (cause == Py_None) {
fixed_cause = NULL;
} else if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
} else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
} else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
#if CYTHON_COMPILING_IN_PYPY
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
Py_INCREF(tb);
PyErr_Restore(tmp_type, tmp_value, tb);
Py_XDECREF(tmp_tb);
#else
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
#endif
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
PyCFunction meth = PyCFunction_GET_FUNCTION(func);
PyObject *self = PyCFunction_GET_SELF(func);
int flags = PyCFunction_GET_FLAGS(func);
assert(PyCFunction_Check(func));
assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
assert(nargs >= 0);
assert(nargs == 0 || args != NULL);
/* _PyCFunction_FastCallDict() must not be called with an exception set,
because it may clear it (directly or indirectly) and so the
caller loses its exception */
assert(!PyErr_Occurred());
if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
} else {
return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
}
}
#endif
/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
PyObject *globals) {
PyFrameObject *f;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject **fastlocals;
Py_ssize_t i;
PyObject *result;
assert(globals != NULL);
/* XXX Perhaps we should create a specialized
PyFrame_New() that doesn't take locals, but does
take builtins without sanity checking them.
*/
assert(tstate != NULL);
f = PyFrame_New(tstate, co, globals, NULL);
if (f == NULL) {
return NULL;
}
fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
for (i = 0; i < na; i++) {
Py_INCREF(*args);
fastlocals[i] = *args++;
}
result = PyEval_EvalFrameEx(f,0);
++tstate->recursion_depth;
Py_DECREF(f);
--tstate->recursion_depth;
return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {
PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
PyObject *globals = PyFunction_GET_GLOBALS(func);
PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
PyObject *closure;
#if PY_MAJOR_VERSION >= 3
PyObject *kwdefs;
#endif
PyObject *kwtuple, **k;
PyObject **d;
Py_ssize_t nd;
Py_ssize_t nk;
PyObject *result;
assert(kwargs == NULL || PyDict_Check(kwargs));
nk = kwargs ? PyDict_Size(kwargs) : 0;
if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
return NULL;
}
if (
#if PY_MAJOR_VERSION >= 3
co->co_kwonlyargcount == 0 &&
#endif
likely(kwargs == NULL || nk == 0) &&
co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
if (argdefs == NULL && co->co_argcount == nargs) {
result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
goto done;
}
else if (nargs == 0 && argdefs != NULL
&& co->co_argcount == Py_SIZE(argdefs)) {
/* function called with no arguments, but all parameters have
a default value: use default values as arguments .*/
args = &PyTuple_GET_ITEM(argdefs, 0);
result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
goto done;
}
}
if (kwargs != NULL) {
Py_ssize_t pos, i;
kwtuple = PyTuple_New(2 * nk);
if (kwtuple == NULL) {
result = NULL;
goto done;
}
k = &PyTuple_GET_ITEM(kwtuple, 0);
pos = i = 0;
while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
Py_INCREF(k[i]);
Py_INCREF(k[i+1]);
i += 2;
}
nk = i / 2;
}
else {
kwtuple = NULL;
k = NULL;
}
closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
if (argdefs != NULL) {
d = &PyTuple_GET_ITEM(argdefs, 0);
nd = Py_SIZE(argdefs);
}
else {
d = NULL;
nd = 0;
}
#if PY_MAJOR_VERSION >= 3
result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, kwdefs, closure);
#else
result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, closure);
#endif
Py_XDECREF(kwtuple);
done:
Py_LeaveRecursiveCall();
return result;
}
#endif
#endif
/* PyObjectCall2Args */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
PyObject *args, *result = NULL;
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyFunction_FastCall(function, args, 2);
}
#endif
#if CYTHON_FAST_PYCCALL
if (__Pyx_PyFastCFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyCFunction_FastCall(function, args, 2);
}
#endif
args = PyTuple_New(2);
if (unlikely(!args)) goto done;
Py_INCREF(arg1);
PyTuple_SET_ITEM(args, 0, arg1);
Py_INCREF(arg2);
PyTuple_SET_ITEM(args, 1, arg2);
Py_INCREF(function);
result = __Pyx_PyObject_Call(function, args, NULL);
Py_DECREF(args);
Py_DECREF(function);
done:
return result;
}
/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, &arg, 1);
}
#endif
if (likely(PyCFunction_Check(func))) {
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
} else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
if (s1 == s2) {
return (equals == Py_EQ);
} else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
const char *ps1, *ps2;
Py_ssize_t length = PyBytes_GET_SIZE(s1);
if (length != PyBytes_GET_SIZE(s2))
return (equals == Py_NE);
ps1 = PyBytes_AS_STRING(s1);
ps2 = PyBytes_AS_STRING(s2);
if (ps1[0] != ps2[0]) {
return (equals == Py_NE);
} else if (length == 1) {
return (equals == Py_EQ);
} else {
int result;
#if CYTHON_USE_UNICODE_INTERNALS
Py_hash_t hash1, hash2;
hash1 = ((PyBytesObject*)s1)->ob_shash;
hash2 = ((PyBytesObject*)s2)->ob_shash;
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
return (equals == Py_NE);
}
#endif
result = memcmp(ps1, ps2, (size_t)length);
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
return (equals == Py_NE);
} else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
return (equals == Py_NE);
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
#endif
}
/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
PyObject* owned_ref = NULL;
#endif
int s1_is_unicode, s2_is_unicode;
if (s1 == s2) {
goto return_eq;
}
s1_is_unicode = PyUnicode_CheckExact(s1);
s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
owned_ref = PyUnicode_FromObject(s2);
if (unlikely(!owned_ref))
return -1;
s2 = owned_ref;
s2_is_unicode = 1;
} else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
owned_ref = PyUnicode_FromObject(s1);
if (unlikely(!owned_ref))
return -1;
s1 = owned_ref;
s1_is_unicode = 1;
} else if (((!s2_is_unicode) & (!s1_is_unicode))) {
return __Pyx_PyBytes_Equals(s1, s2, equals);
}
#endif
if (s1_is_unicode & s2_is_unicode) {
Py_ssize_t length;
int kind;
void *data1, *data2;
if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
return -1;
length = __Pyx_PyUnicode_GET_LENGTH(s1);
if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
goto return_ne;
}
#if CYTHON_USE_UNICODE_INTERNALS
{
Py_hash_t hash1, hash2;
#if CYTHON_PEP393_ENABLED
hash1 = ((PyASCIIObject*)s1)->hash;
hash2 = ((PyASCIIObject*)s2)->hash;
#else
hash1 = ((PyUnicodeObject*)s1)->hash;
hash2 = ((PyUnicodeObject*)s2)->hash;
#endif
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
goto return_ne;
}
}
#endif
kind = __Pyx_PyUnicode_KIND(s1);
if (kind != __Pyx_PyUnicode_KIND(s2)) {
goto return_ne;
}
data1 = __Pyx_PyUnicode_DATA(s1);
data2 = __Pyx_PyUnicode_DATA(s2);
if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
goto return_ne;
} else if (length == 1) {
goto return_eq;
} else {
int result = memcmp(data1, data2, (size_t)(length * kind));
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & s2_is_unicode) {
goto return_ne;
} else if ((s2 == Py_None) & s1_is_unicode) {
goto return_ne;
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
return_eq:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ);
return_ne:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_NE);
#endif
}
/* GetAttr */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_USE_TYPE_SLOTS
#if PY_MAJOR_VERSION >= 3
if (likely(PyUnicode_Check(n)))
#else
if (likely(PyString_Check(n)))
#endif
return __Pyx_PyObject_GetAttrStr(o, n);
#endif
return PyObject_GetAttr(o, n);
}
/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyList_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyTuple_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
return NULL;
PyErr_Clear();
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
PyObject *runerr;
Py_ssize_t key_value;
PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
if (unlikely(!(m && m->sq_item))) {
PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
return NULL;
}
key_value = __Pyx_PyIndex_AsSsize_t(index);
if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
}
if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
PyErr_Clear();
PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
}
return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
if (likely(m && m->mp_subscript)) {
return m->mp_subscript(obj, key);
}
return __Pyx_PyObject_GetIndex(obj, key);
}
#endif
/* decode_c_string */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
size_t slen = strlen(cstring);
if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
PyErr_SetString(PyExc_OverflowError,
"c-string too long to convert to Python");
return NULL;
}
length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
start = 0;
}
if (stop < 0)
stop += length;
}
if (unlikely(stop <= start))
return __Pyx_NewRef(__pyx_empty_unicode);
length = stop - start;
cstring += start;
if (decode_func) {
return decode_func(cstring, length, errors);
} else {
return PyUnicode_Decode(cstring, length, encoding, errors);
}
}
/* PyErrExceptionMatches */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
PyObject *exc_type = tstate->curexc_type;
if (exc_type == err) return 1;
if (unlikely(!exc_type)) return 0;
if (unlikely(PyTuple_Check(err)))
return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif
/* GetAttr3 */
static PyObject *__Pyx_GetAttr3Default(PyObject *d) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
return NULL;
__Pyx_PyErr_Clear();
Py_INCREF(d);
return d;
}
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {
PyObject *r = __Pyx_GetAttr(o, n);
return (likely(r)) ? r : __Pyx_GetAttr3Default(d);
}
/* PyDictVersioning */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
PyObject **dictptr = NULL;
Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
if (offset) {
#if CYTHON_COMPILING_IN_CPYTHON
dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
#else
dictptr = _PyObject_GetDictPtr(obj);
#endif
}
return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
}
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
return 0;
return obj_dict_version == __Pyx_get_object_dict_version(obj);
}
#endif
/* GetModuleGlobalName */
#if CYTHON_USE_DICT_VERSIONS
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
#else
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
#endif
{
PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
} else if (unlikely(PyErr_Occurred())) {
return NULL;
}
#else
result = PyDict_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
#endif
#else
result = PyObject_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
PyErr_Clear();
#endif
return __Pyx_GetBuiltinName(name);
}
/* RaiseTooManyValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
/* RaiseNeedMoreValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
index, (index == 1) ? "" : "s");
}
/* RaiseNoneIterError */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(__Pyx_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
/* GetTopmostException */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem *
__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
{
_PyErr_StackItem *exc_info = tstate->exc_info;
while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
exc_info->previous_item != NULL)
{
exc_info = exc_info->previous_item;
}
return exc_info;
}
#endif
/* SaveResetException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
*type = exc_info->exc_type;
*value = exc_info->exc_value;
*tb = exc_info->exc_traceback;
#else
*type = tstate->exc_type;
*value = tstate->exc_value;
*tb = tstate->exc_traceback;
#endif
Py_XINCREF(*type);
Py_XINCREF(*value);
Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = type;
exc_info->exc_value = value;
exc_info->exc_traceback = tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = type;
tstate->exc_value = value;
tstate->exc_traceback = tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
#endif
/* GetException */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)
#endif
{
PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
PyObject *tmp_type, *tmp_value, *tmp_tb;
local_type = tstate->curexc_type;
local_value = tstate->curexc_value;
local_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
if (unlikely(tstate->curexc_type))
#else
if (unlikely(PyErr_Occurred()))
#endif
goto bad;
#if PY_MAJOR_VERSION >= 3
if (local_tb) {
if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
goto bad;
}
#endif
Py_XINCREF(local_tb);
Py_XINCREF(local_type);
Py_XINCREF(local_value);
*type = local_type;
*value = local_value;
*tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
#if CYTHON_USE_EXC_INFO_STACK
{
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = local_type;
exc_info->exc_value = local_value;
exc_info->exc_traceback = local_tb;
}
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = local_type;
tstate->exc_value = local_value;
tstate->exc_traceback = local_tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
return 0;
bad:
*type = 0;
*value = 0;
*tb = 0;
Py_XDECREF(local_type);
Py_XDECREF(local_value);
Py_XDECREF(local_tb);
return -1;
}
/* SwapException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = *type;
exc_info->exc_value = *value;
exc_info->exc_traceback = *tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = *type;
tstate->exc_value = *value;
tstate->exc_traceback = *tb;
#endif
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
PyErr_SetExcInfo(*type, *value, *tb);
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#endif
/* Import */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_MAJOR_VERSION < 3
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) {
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_MAJOR_VERSION < 3
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
/* FastTypeChecks */
#if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
while (a) {
a = a->tp_base;
if (a == b)
return 1;
}
return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
PyObject *mro;
if (a == b) return 1;
mro = a->tp_mro;
if (likely(mro)) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(mro);
for (i = 0; i < n; i++) {
if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
return 1;
}
return 0;
}
return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
PyObject *exception, *value, *tb;
int res;
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&exception, &value, &tb);
res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
if (!res) {
res = PyObject_IsSubclass(err, exc_type2);
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
}
__Pyx_ErrRestore(exception, value, tb);
return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
if (!res) {
res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
}
return res;
}
#endif
static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
assert(PyExceptionClass_Check(exc_type));
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
PyObject *t = PyTuple_GET_ITEM(tuple, i);
#if PY_MAJOR_VERSION < 3
if (likely(exc_type == t)) return 1;
#endif
if (likely(PyExceptionClass_Check(t))) {
if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
} else {
}
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
if (likely(err == exc_type)) return 1;
if (likely(PyExceptionClass_Check(err))) {
if (likely(PyExceptionClass_Check(exc_type))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
} else if (likely(PyTuple_Check(exc_type))) {
return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
} else {
}
}
return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
assert(PyExceptionClass_Check(exc_type1));
assert(PyExceptionClass_Check(exc_type2));
if (likely(err == exc_type1 || err == exc_type2)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
}
return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif
/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
(void)inplace;
(void)zerodivision_check;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(op1))) {
const long b = intval;
long x;
long a = PyInt_AS_LONG(op1);
x = (long)((unsigned long)a + b);
if (likely((x^a) >= 0 || (x^b) >= 0))
return PyInt_FromLong(x);
return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
#endif
#if CYTHON_USE_PYLONG_INTERNALS
if (likely(PyLong_CheckExact(op1))) {
const long b = intval;
long a, x;
#ifdef HAVE_LONG_LONG
const PY_LONG_LONG llb = intval;
PY_LONG_LONG lla, llx;
#endif
const digit* digits = ((PyLongObject*)op1)->ob_digit;
const Py_ssize_t size = Py_SIZE(op1);
if (likely(__Pyx_sst_abs(size) <= 1)) {
a = likely(size) ? digits[0] : 0;
if (size == -1) a = -a;
} else {
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
}
x = a + b;
return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
long_long:
llx = lla + llb;
return PyLong_FromLongLong(llx);
#endif
}
#endif
if (PyFloat_CheckExact(op1)) {
const long b = intval;
double a = PyFloat_AS_DOUBLE(op1);
double result;
PyFPE_START_PROTECT("add", return NULL)
result = ((double)a) + (double)b;
PyFPE_END_PROTECT(result)
return PyFloat_FromDouble(result);
}
return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif
/* None */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}
/* ImportFrom */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Format(PyExc_ImportError,
#if PY_MAJOR_VERSION < 3
"cannot import name %.230s", PyString_AS_STRING(name));
#else
"cannot import name %S", name);
#endif
}
return value;
}
/* HasAttr */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {
PyObject *r;
if (unlikely(!__Pyx_PyBaseString_Check(n))) {
PyErr_SetString(PyExc_TypeError,
"hasattr(): attribute name must be string");
return -1;
}
r = __Pyx_GetAttr(o, n);
if (unlikely(!r)) {
PyErr_Clear();
return 0;
} else {
Py_DECREF(r);
return 1;
}
}
/* PyObject_GenericGetAttrNoDict */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
"'%.50s' object has no attribute '%U'",
tp->tp_name, attr_name);
#else
"'%.50s' object has no attribute '%.400s'",
tp->tp_name, PyString_AS_STRING(attr_name));
#endif
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
PyObject *descr;
PyTypeObject *tp = Py_TYPE(obj);
if (unlikely(!PyString_Check(attr_name))) {
return PyObject_GenericGetAttr(obj, attr_name);
}
assert(!tp->tp_dictoffset);
descr = _PyType_Lookup(tp, attr_name);
if (unlikely(!descr)) {
return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
}
Py_INCREF(descr);
#if PY_MAJOR_VERSION < 3
if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
#endif
{
descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
if (unlikely(f)) {
PyObject *res = f(descr, obj, (PyObject *)tp);
Py_DECREF(descr);
return res;
}
}
return descr;
}
#endif
/* PyObject_GenericGetAttr */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {
if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {
return PyObject_GenericGetAttr(obj, attr_name);
}
return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);
}
#endif
/* SetVTable */
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
/* PyObjectGetAttrStrNoError */
static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
__Pyx_PyErr_Clear();
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) {
PyObject *result;
#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS && PY_VERSION_HEX >= 0x030700B1
PyTypeObject* tp = Py_TYPE(obj);
if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) {
return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1);
}
#endif
result = __Pyx_PyObject_GetAttrStr(obj, attr_name);
if (unlikely(!result)) {
__Pyx_PyObject_GetAttrStr_ClearAttributeError();
}
return result;
}
/* SetupReduce */
static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {
int ret;
PyObject *name_attr;
name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);
if (likely(name_attr)) {
ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);
} else {
ret = -1;
}
if (unlikely(ret < 0)) {
PyErr_Clear();
ret = 0;
}
Py_XDECREF(name_attr);
return ret;
}
static int __Pyx_setup_reduce(PyObject* type_obj) {
int ret = 0;
PyObject *object_reduce = NULL;
PyObject *object_reduce_ex = NULL;
PyObject *reduce = NULL;
PyObject *reduce_ex = NULL;
PyObject *reduce_cython = NULL;
PyObject *setstate = NULL;
PyObject *setstate_cython = NULL;
#if CYTHON_USE_PYTYPE_LOOKUP
if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
#else
if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
#endif
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
#else
object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
#endif
reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD;
if (reduce_ex == object_reduce_ex) {
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
#else
object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
#endif
reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD;
if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython);
if (likely(reduce_cython)) {
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
} else if (reduce == object_reduce || PyErr_Occurred()) {
goto __PYX_BAD;
}
setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);
if (!setstate) PyErr_Clear();
if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {
setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython);
if (likely(setstate_cython)) {
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
} else if (!setstate || PyErr_Occurred()) {
goto __PYX_BAD;
}
}
PyType_Modified((PyTypeObject*)type_obj);
}
}
goto __PYX_GOOD;
__PYX_BAD:
if (!PyErr_Occurred())
PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
ret = -1;
__PYX_GOOD:
#if !CYTHON_USE_PYTYPE_LOOKUP
Py_XDECREF(object_reduce);
Py_XDECREF(object_reduce_ex);
#endif
Py_XDECREF(reduce);
Py_XDECREF(reduce_ex);
Py_XDECREF(reduce_cython);
Py_XDECREF(setstate);
Py_XDECREF(setstate_cython);
return ret;
}
/* CLineInTraceback */
#ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(CYTHON_NCP_UNUSED PyThreadState *tstate, int c_line) {
PyObject *use_cline;
PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
PyObject **cython_runtime_dict;
#endif
if (unlikely(!__pyx_cython_runtime)) {
return c_line;
}
__Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
if (likely(cython_runtime_dict)) {
__PYX_PY_DICT_LOOKUP_IF_MODIFIED(
use_cline, *cython_runtime_dict,
__Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
} else
#endif
{
PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
if (use_cline_obj) {
use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
Py_DECREF(use_cline_obj);
} else {
PyErr_Clear();
use_cline = NULL;
}
}
if (!use_cline) {
c_line = 0;
PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
}
else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
c_line = 0;
}
__Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
return c_line;
}
#endif
/* CodeObjectCache */
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = start + (end - start) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
/* AddTraceback */
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
if (c_line) {
c_line = __Pyx_CLineForTraceback(tstate, c_line);
}
py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
}
py_frame = PyFrame_New(
tstate, /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
__Pyx_PyFrame_SetLineNumber(py_frame, py_line);
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
if (!obj) return;
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
if ((0)) {}
view->obj = NULL;
Py_DECREF(obj);
}
#endif
/* MemviewSliceIsContig */
static int
__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)
{
int i, index, step, start;
Py_ssize_t itemsize = mvs.memview->view.itemsize;
if (order == 'F') {
step = 1;
start = 0;
} else {
step = -1;
start = ndim - 1;
}
for (i = 0; i < ndim; i++) {
index = start + step * i;
if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
return 0;
itemsize *= mvs.shape[index];
}
return 1;
}
/* OverlappingSlices */
static void
__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
void **out_start, void **out_end,
int ndim, size_t itemsize)
{
char *start, *end;
int i;
start = end = slice->data;
for (i = 0; i < ndim; i++) {
Py_ssize_t stride = slice->strides[i];
Py_ssize_t extent = slice->shape[i];
if (extent == 0) {
*out_start = *out_end = start;
return;
} else {
if (stride > 0)
end += stride * (extent - 1);
else
start += stride * (extent - 1);
}
}
*out_start = start;
*out_end = end + itemsize;
}
static int
__pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize)
{
void *start1, *end1, *start2, *end2;
__pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
__pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
return (start1 < end2) && (start2 < end1);
}
/* Capsule */
static CYTHON_INLINE PyObject *
__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
{
PyObject *cobj;
#if PY_VERSION_HEX >= 0x02070000
cobj = PyCapsule_New(p, sig, NULL);
#else
cobj = PyCObject_FromVoidPtr(p, NULL);
#endif
return cobj;
}
/* IsLittleEndian */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
union {
uint32_t u32;
uint8_t u8[4];
} S;
S.u32 = 0x01020304;
return S.u8[0] == 4;
}
/* BufferFormatCheck */
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t <= '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1)
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case '?': return "'bool'";
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case '?': case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count;
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break;
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue;
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number, ndim;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ndim = ctx->head->field->type->ndim;
while (*ts && *ts != ')') {
switch (*ts) {
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
default: break;
}
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
CYTHON_FALLTHROUGH;
case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) &&
(ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
CYTHON_FALLTHROUGH;
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
/* TypeInfoCompare */
static int
__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
{
int i;
if (!a || !b)
return 0;
if (a == b)
return 1;
if (a->size != b->size || a->typegroup != b->typegroup ||
a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
if (a->typegroup == 'H' || b->typegroup == 'H') {
return a->size == b->size;
} else {
return 0;
}
}
if (a->ndim) {
for (i = 0; i < a->ndim; i++)
if (a->arraysize[i] != b->arraysize[i])
return 0;
}
if (a->typegroup == 'S') {
if (a->flags != b->flags)
return 0;
if (a->fields || b->fields) {
if (!(a->fields && b->fields))
return 0;
for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
__Pyx_StructField *field_a = a->fields + i;
__Pyx_StructField *field_b = b->fields + i;
if (field_a->offset != field_b->offset ||
!__pyx_typeinfo_cmp(field_a->type, field_b->type))
return 0;
}
return !a->fields[i].type && !b->fields[i].type;
}
}
return 1;
}
/* MemviewSliceValidateAndInit */
static int
__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
{
if (buf->shape[dim] <= 1)
return 1;
if (buf->strides) {
if (spec & __Pyx_MEMVIEW_CONTIG) {
if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
if (unlikely(buf->strides[dim] != sizeof(void *))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly contiguous "
"in dimension %d.", dim);
goto fail;
}
} else if (unlikely(buf->strides[dim] != buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_FOLLOW) {
Py_ssize_t stride = buf->strides[dim];
if (stride < 0)
stride = -stride;
if (unlikely(stride < buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
} else {
if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not contiguous in "
"dimension %d", dim);
goto fail;
} else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not indirect in "
"dimension %d", dim);
goto fail;
} else if (unlikely(buf->suboffsets)) {
PyErr_SetString(PyExc_ValueError,
"Buffer exposes suboffsets but no strides");
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
{
if (spec & __Pyx_MEMVIEW_DIRECT) {
if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) {
PyErr_Format(PyExc_ValueError,
"Buffer not compatible with direct access "
"in dimension %d.", dim);
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_PTR) {
if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly accessible "
"in dimension %d.", dim);
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
{
int i;
if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
Py_ssize_t stride = 1;
for (i = 0; i < ndim; i++) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not fortran contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
} else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {
Py_ssize_t stride = 1;
for (i = ndim - 1; i >- 1; i--) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not C contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
}
return 1;
fail:
return 0;
}
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj)
{
struct __pyx_memoryview_obj *memview, *new_memview;
__Pyx_RefNannyDeclarations
Py_buffer *buf;
int i, spec = 0, retval = -1;
__Pyx_BufFmt_Context ctx;
int from_memoryview = __pyx_memoryview_check(original_obj);
__Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
original_obj)->typeinfo)) {
memview = (struct __pyx_memoryview_obj *) original_obj;
new_memview = NULL;
} else {
memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
original_obj, buf_flags, 0, dtype);
new_memview = memview;
if (unlikely(!memview))
goto fail;
}
buf = &memview->view;
if (unlikely(buf->ndim != ndim)) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
ndim, buf->ndim);
goto fail;
}
if (new_memview) {
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail;
}
if (unlikely((unsigned) buf->itemsize != dtype->size)) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) "
"does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
buf->itemsize,
(buf->itemsize > 1) ? "s" : "",
dtype->name,
dtype->size,
(dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->len > 0) {
for (i = 0; i < ndim; i++) {
spec = axes_specs[i];
if (unlikely(!__pyx_check_strides(buf, i, ndim, spec)))
goto fail;
if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec)))
goto fail;
}
if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)))
goto fail;
}
if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
new_memview != NULL) == -1)) {
goto fail;
}
retval = 0;
goto no_fail;
fail:
Py_XDECREF(new_memview);
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 2,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS_RO | writable_flag, 2,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1,
&__Pyx_TypeInfo_int, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* MemviewSliceCopyTemplate */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object)
{
__Pyx_RefNannyDeclarations
int i;
__Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
Py_buffer *buf = &from_memview->view;
PyObject *shape_tuple = NULL;
PyObject *temp_int = NULL;
struct __pyx_array_obj *array_obj = NULL;
struct __pyx_memoryview_obj *memview_obj = NULL;
__Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
for (i = 0; i < ndim; i++) {
if (unlikely(from_mvs->suboffsets[i] >= 0)) {
PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
"indirect dimensions (axis %d)", i);
goto fail;
}
}
shape_tuple = PyTuple_New(ndim);
if (unlikely(!shape_tuple)) {
goto fail;
}
__Pyx_GOTREF(shape_tuple);
for(i = 0; i < ndim; i++) {
temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
if(unlikely(!temp_int)) {
goto fail;
} else {
PyTuple_SET_ITEM(shape_tuple, i, temp_int);
temp_int = NULL;
}
}
array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
if (unlikely(!array_obj)) {
goto fail;
}
__Pyx_GOTREF(array_obj);
memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
(PyObject *) array_obj, contig_flag,
dtype_is_object,
from_mvs->memview->typeinfo);
if (unlikely(!memview_obj))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
goto fail;
if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
dtype_is_object) < 0))
goto fail;
goto no_fail;
fail:
__Pyx_XDECREF(new_mvs.memview);
new_mvs.memview = NULL;
new_mvs.data = NULL;
no_fail:
__Pyx_XDECREF(shape_tuple);
__Pyx_XDECREF(temp_int);
__Pyx_XDECREF(array_obj);
__Pyx_RefNannyFinishContext();
return new_mvs;
}
/* CIntFromPyVerify */
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
{\
func_type value = func_value;\
if (sizeof(target_type) < sizeof(func_type)) {\
if (unlikely(value != (func_type) (target_type) value)) {\
func_type zero = 0;\
if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
return (target_type) -1;\
if (is_unsigned && unlikely(value < zero))\
goto raise_neg_overflow;\
else\
goto raise_overflow;\
}\
}\
return (target_type) value;\
}
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])
case -2:
if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
}
#endif
if (sizeof(char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
char val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (char) -1;
}
} else {
char val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (char) -1;
val = __Pyx_PyInt_As_char(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to char");
return (char) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to char");
return (char) -1;
}
/* CheckBinaryVersion */
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
return PyErr_WarnEx(NULL, message, 1);
}
return 0;
}
/* InitStrings */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
if (PyObject_Hash(*t->p) == -1)
return -1;
++t;
}
return 0;
}
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
#if !CYTHON_PEP393_ENABLED
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
char* defenc_c;
PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
if (!defenc) return NULL;
defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
{
char* end = defenc_c + PyBytes_GET_SIZE(defenc);
char* c;
for (c = defenc_c; c < end; c++) {
if ((unsigned char) (*c) >= 128) {
PyUnicode_AsASCIIString(o);
return NULL;
}
}
}
#endif
*length = PyBytes_GET_SIZE(defenc);
return defenc_c;
}
#else
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
if (likely(PyUnicode_IS_ASCII(o))) {
*length = PyUnicode_GET_LENGTH(o);
return PyUnicode_AsUTF8(o);
} else {
PyUnicode_AsASCIIString(o);
return NULL;
}
#else
return PyUnicode_AsUTF8AndSize(o, length);
#endif
}
#endif
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
__Pyx_sys_getdefaultencoding_not_ascii &&
#endif
PyUnicode_Check(o)) {
return __Pyx_PyUnicode_AsStringAndSize(o, length);
} else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
if (PyByteArray_Check(o)) {
*length = PyByteArray_GET_SIZE(o);
return PyByteArray_AS_STRING(o);
} else
#endif
{
char* result;
int r = PyBytes_AsStringAndSize(o, &result, length);
if (unlikely(r < 0)) {
return NULL;
} else {
return result;
}
}
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
int retval;
if (unlikely(!x)) return -1;
retval = __Pyx_PyObject_IsTrue(x);
Py_DECREF(x);
return retval;
}
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
if (PyLong_Check(result)) {
if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
"__int__ returned non-int (type %.200s). "
"The ability to return an instance of a strict subclass of int "
"is deprecated, and may be removed in a future version of Python.",
Py_TYPE(result)->tp_name)) {
Py_DECREF(result);
return NULL;
}
return result;
}
#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
type_name, type_name, Py_TYPE(result)->tp_name);
Py_DECREF(result);
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
PyNumberMethods *m;
#endif
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
if (likely(PyLong_Check(x)))
#endif
return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = m->nb_int(x);
}
else if (m && m->nb_long) {
name = "long";
res = m->nb_long(x);
}
#else
if (likely(m && m->nb_int)) {
name = "int";
res = m->nb_int(x);
}
#endif
#else
if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
res = PyNumber_Int(x);
}
#endif
if (likely(res)) {
#if PY_MAJOR_VERSION < 3
if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
if (unlikely(!PyLong_CheckExact(res))) {
#endif
return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject *x;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(b))) {
if (sizeof(Py_ssize_t) >= sizeof(long))
return PyInt_AS_LONG(b);
else
return PyInt_AsSsize_t(b);
}
#endif
if (likely(PyLong_CheckExact(b))) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)b)->ob_digit;
const Py_ssize_t size = Py_SIZE(b);
if (likely(__Pyx_sst_abs(size) <= 1)) {
ival = likely(size) ? digits[0] : 0;
if (size == -1) ival = -ival;
return ival;
} else {
switch (size) {
case 2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
}
}
#endif
return PyLong_AsSsize_t(b);
}
x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
|
05_loop_decompose_private.c | #include <stdio.h>
#include <omp.h>
#define MAX_ITS 10000
int main()
{
int nproc, i, sum, thread_id;
nproc = omp_get_max_threads();
int its_per_proc[nproc];
for (i = 0; i< nproc; ++i){
its_per_proc[i] = 0;
}
#pragma omp parallel for private(thread_id)
for (i = 0; i< MAX_ITS; ++i){
thread_id = omp_get_thread_num();
its_per_proc[thread_id]++;
}
sum = 0;
for (i = 0; i< nproc; ++i){
printf("Processor %i performed %i iterations\n", i, its_per_proc[i]);
sum += its_per_proc[i];
}
printf("Total work on all processors is %i\n", sum);
}
|
jacobi.c | #include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <sys/timeb.h>
#include <malloc.h>
#define REAL float
static double read_timer_ms() {
struct timeb tm;
ftime(&tm);
return (double) tm.time * 1000.0 + (double) tm.millitm;
}
/************************************************************
* program to solve a finite difference
* discretization of Helmholtz equation :
* (d2/dx2)u + (d2/dy2)u - alpha u = f
* using Jacobi iterative method.
*
* Modified: Sanjiv Shah, Kuck and Associates, Inc. (KAI), 1998
* Author: Joseph Robicheaux, Kuck and Associates, Inc. (KAI), 1998
*
* This c version program is translated by
* Chunhua Liao, University of Houston, Jan, 2005
*
* Directives are used in this code to achieve parallelism.
* All do loops are parallelized with default 'static' scheduling.
*
* Input : n - grid dimension in x direction
* m - grid dimension in y direction
* alpha - Helmholtz constant (always greater than 0.0)
* tol - error tolerance for iterative solver
* relax - Successice over relaxation parameter
* mits - Maximum iterations for iterative solver
*
* On output
* : u(n,m) - Dependent variable (solutions)
* : f(n,m) - Right hand side function
*************************************************************/
#define DEFAULT_DIMSIZE 256
void print_array(char *title, char *name, REAL *A, int n, int m) {
printf("%s:\n", title);
int i, j;
for (i = 0; i < n; i++) {
for (j = 0; j < m; j++) {
printf("%s[%d][%d]:%f ", name, i, j, A[i * m + j]);
}
printf("\n");
}
printf("\n");
}
/* subroutine initialize (n,m,alpha,dx,dy,u,f)
******************************************************
* Initializes data
* Assumes exact solution is u(x,y) = (1-x^2)*(1-y^2)
*
******************************************************/
void initialize(int n, int m, REAL alpha, REAL *dx, REAL *dy, REAL *u_p, REAL *f_p) {
int i;
int j;
int xx;
int yy;
REAL (*u)[m] = (REAL (*)[m]) u_p;
REAL (*f)[m] = (REAL (*)[m]) f_p;
//double PI=3.1415926;
*dx = (2.0 / (n - 1));
*dy = (2.0 / (m - 1));
/* Initialize initial condition and RHS */
//#pragma omp parallel for private(xx,yy,j,i)
for (i = 0; i < n; i++)
for (j = 0; j < m; j++) {
xx = ((int) (-1.0 + (*dx * (i - 1))));
yy = ((int) (-1.0 + (*dy * (j - 1))));
u[i][j] = 0.0;
f[i][j] = (((((-1.0 * alpha) * (1.0 - (xx * xx)))
* (1.0 - (yy * yy))) - (2.0 * (1.0 - (xx * xx))))
- (2.0 * (1.0 - (yy * yy))));
}
}
/* subroutine error_check (n,m,alpha,dx,dy,u,f)
implicit none
************************************************************
* Checks error between numerical and exact solution
*
************************************************************/
void error_check(int n, int m, REAL alpha, REAL dx, REAL dy, REAL *u_p, REAL *f_p) {
int i;
int j;
REAL xx;
REAL yy;
REAL temp;
REAL error;
error = 0.0;
REAL (*u)[m] = (REAL (*)[m]) u_p;
REAL (*f)[m] = (REAL (*)[m]) f_p;
//#pragma omp parallel for private(xx,yy,temp,j,i) reduction(+:error)
for (i = 0; i < n; i++)
for (j = 0; j < m; j++) {
xx = (-1.0 + (dx * (i - 1)));
yy = (-1.0 + (dy * (j - 1)));
temp = (u[i][j] - ((1.0 - (xx * xx)) * (1.0 - (yy * yy))));
error = (error + (temp * temp));
}
error = (sqrt(error) / (n * m));
printf("Solution Error: %2.6g\n", error);
}
void jacobi_seq(int n, int m, REAL dx, REAL dy, REAL alpha, REAL relax, REAL *u_p, REAL *f_p, REAL tol, int mits);
void jacobi_omp(int n, int m, REAL dx, REAL dy, REAL alpha, REAL relax, REAL *u_p, REAL *f_p, REAL tol, int mits);
int main(int argc, char *argv[]) {
int n = DEFAULT_DIMSIZE;
int m = DEFAULT_DIMSIZE;
REAL alpha = 0.0543;
REAL tol = 0.0000000001;
REAL relax = 1.0;
int mits = 5000;
/*fprintf(stderr, "Usage: jacobi [<n> <m> <alpha> <tol> <relax> <mits>]\n");
fprintf(stderr, "\tn - grid dimension in x direction, default: %d\n", n);
fprintf(stderr, "\tm - grid dimension in y direction, default: n if provided or %d\n", m);
fprintf(stderr, "\talpha - Helmholtz constant (always greater than 0.0), default: %g\n", alpha);
fprintf(stderr, "\ttol - error tolerance for iterative solver, default: %g\n", tol);
fprintf(stderr, "\trelax - Successice over relaxation parameter, default: %g\n", relax);
fprintf(stderr, "\tmits - Maximum iterations for iterative solver, default: %d\n", mits);*/
if (argc == 2) {
sscanf(argv[1], "%d", &n);
m = n;
}
else if (argc == 3) {
sscanf(argv[1], "%d", &n);
sscanf(argv[2], "%d", &m);
}
else if (argc == 4) {
sscanf(argv[1], "%d", &n);
sscanf(argv[2], "%d", &m);
sscanf(argv[3], "%g", &alpha);
}
else if (argc == 5) {
sscanf(argv[1], "%d", &n);
sscanf(argv[2], "%d", &m);
sscanf(argv[3], "%g", &alpha);
sscanf(argv[4], "%g", &tol);
}
else if (argc == 6) {
sscanf(argv[1], "%d", &n);
sscanf(argv[2], "%d", &m);
sscanf(argv[3], "%g", &alpha);
sscanf(argv[4], "%g", &tol);
sscanf(argv[5], "%g", &relax);
}
else if (argc == 7) {
sscanf(argv[1], "%d", &n);
sscanf(argv[2], "%d", &m);
sscanf(argv[3], "%g", &alpha);
sscanf(argv[4], "%g", &tol);
sscanf(argv[5], "%g", &relax);
sscanf(argv[6], "%d", &mits);
}
else {
/* the rest of arg ignored */
}
printf("jacobi %d %d %g %g %g %d\n", n, m, alpha, tol, relax, mits);
printf("------------------------------------------------------------------------------------------------------\n");
/** init the array */
REAL *u = (REAL *) malloc(sizeof(REAL) * n * m);
REAL *uomp = (REAL *) malloc(sizeof(REAL) * n * m);
REAL *f = (REAL *) malloc(sizeof(REAL) * n * m);
REAL dx; /* grid spacing in x direction */
REAL dy; /* grid spacing in y direction */
initialize(n, m, alpha, &dx, &dy, u, f);
memcpy(uomp, u, sizeof(REAL) * n * m);
double elapsed = read_timer_ms();
jacobi_seq(n, m, dx, dy, alpha, relax, u, f, tol, mits);
elapsed = read_timer_ms() - elapsed;
printf("seq elasped time(ms): %4f\n", elapsed);
double mflops = (0.001 * mits * (n - 2) * (m - 2) * 13) / elapsed;
printf("MFLOPS: %12.6g\n", mflops);
puts("================");
elapsed = read_timer_ms();
jacobi_omp(n, m, dx, dy, alpha, relax, uomp, f, tol, mits);
elapsed = read_timer_ms() - elapsed;
printf("OpenMP elasped time(ms): %4f\n", elapsed);
mflops = (0.001 * mits * (n - 2) * (m - 2) * 13) / elapsed;
printf("MFLOPS: %12.6g\n", mflops);
//print_array("Sequential Run", "u",(REAL*)u, n, m);
error_check(n, m, alpha, dx, dy, u, f);
free(u);
free(f);
free(uomp);
return 0;
}
/* subroutine jacobi (n,m,dx,dy,alpha,omega,u,f,tol,mits)
******************************************************************
* Subroutine HelmholtzJ
* Solves poisson equation on rectangular grid assuming :
* (1) Uniform discretization in each direction, and
* (2) Dirichlect boundary conditions
*
* Jacobi method is used in this routine
*
* Input : n,m Number of grid points in the X/Y directions
* dx,dy Grid spacing in the X/Y directions
* alpha Helmholtz eqn. coefficient
* omega Relaxation factor
* f(n,m) Right hand side function
* u(n,m) Dependent variable/Solution
* tol Tolerance for iterative solver
* mits Maximum number of iterations
*
* Output : u(n,m) - Solution
*****************************************************************/
void jacobi_seq(int n, int m, REAL dx, REAL dy, REAL alpha, REAL omega, REAL *u_p, REAL *f_p, REAL tol, int mits) {
int i, j, k;
REAL error;
REAL ax;
REAL ay;
REAL b;
REAL resid;
REAL uold[n][m];
REAL (*u)[m] = (REAL (*)[m]) u_p;
REAL (*f)[m] = (REAL (*)[m]) f_p;
/*
* Initialize coefficients */
/* X-direction coef */
ax = (1.0 / (dx * dx));
/* Y-direction coef */
ay = (1.0 / (dy * dy));
/* Central coeff */
b = (((-2.0 / (dx * dx)) - (2.0 / (dy * dy))) - alpha);
error = (10.0 * tol);
k = 1;
while ((k <= mits) && (error > tol)) {
error = 0.0;
/* Copy new solution into old */
for (i = 0; i < n; i++)
for (j = 0; j < m; j++)
uold[i][j] = u[i][j];
for (i = 1; i < (n - 1); i++)
for (j = 1; j < (m - 1); j++) {
resid = (ax * (uold[i - 1][j] + uold[i + 1][j]) + ay * (uold[i][j - 1] + uold[i][j + 1]) +
b * uold[i][j] - f[i][j]) / b;
//printf("i: %d, j: %d, resid: %f\n", i, j, resid);
u[i][j] = uold[i][j] - omega * resid;
error = error + resid * resid;
}
/* Error check */
//if (k % 500 == 0)
// printf("Finished %d iteration with error: %g\n", k, error);
error = sqrt(error) / (n * m);
k = k + 1;
} /* End iteration loop */
printf("Total Number of Iterations: %d\n", k);
printf("Residual: %.15g\n", error);
}
void jacobi_omp(int n, int m, REAL dx, REAL dy, REAL alpha, REAL omega, REAL *u_p, REAL *f_p, REAL tol, int mits) {
int i, j, k;
REAL error;
REAL ax;
REAL ay;
REAL b;
REAL resid;
REAL *tmp = (REAL *) malloc(sizeof(REAL) * n * m);
REAL (*uold)[m] = (REAL (*)[m]) tmp;
REAL (*u)[m] = (REAL (*)[m]) u_p;
REAL (*f)[m] = (REAL (*)[m]) f_p;
/*
* Initialize coefficients */
/* X-direction coef */
ax = (1.0 / (dx * dx));
/* Y-direction coef */
ay = (1.0 / (dy * dy));
/* Central coeff */
b = (((-2.0 / (dx * dx)) - (2.0 / (dy * dy))) - alpha);
error = (10.0 * tol);
k = 1;
while ((k <= mits) && (error > tol)) {
error = 0.0;
//printf("===================== iteration %d ===========================\n", k);
/* Copy new solution into old */
for (i = 0; i < n; i++)
#pragma omp simd
for (j = 0; j < m; j++)
uold[i][j] = u[i][j];
for (i = 1; i < (n - 1); i++)
#pragma omp simd
for (j = 1; j < (m - 1); j++) {
resid = (ax * (uold[i - 1][j] + uold[i + 1][j]) + ay * (uold[i][j - 1] + uold[i][j + 1]) +
b * uold[i][j] - f[i][j]) / b;
//printf("i: %d, j: %d, resid: %f\n", i, j, resid);
u[i][j] = uold[i][j] - omega * resid;
error = error + resid * resid;
}
/* Error check */
//if (k % 500 == 0)
// printf("Finished %d iteration with error: %g\n", k, error);
error = sqrt(error) / (n * m);
k = k + 1;
} /* End iteration loop */
printf("Total Number of Iterations: %d\n", k);
printf("Residual: %.15g\n", error);
free(tmp);
}
|
C_pp.c |
// this is autogenerated file, do not edit it.
#include "ficus/ficus.h"
struct _fx_N14K_form__ktyp_t_data_t;
static void _fx_free_N14K_form__ktyp_t(struct _fx_N14K_form__ktyp_t_data_t** dst);
struct _fx_N14C_form__ctyp_t_data_t;
static void _fx_free_N14C_form__ctyp_t(struct _fx_N14C_form__ctyp_t_data_t** dst);
struct _fx_N14C_form__cexp_t_data_t;
static void _fx_free_N14C_form__cexp_t(struct _fx_N14C_form__cexp_t_data_t** dst);
struct _fx_N15C_form__cstmt_t_data_t;
static void _fx_free_N15C_form__cstmt_t(struct _fx_N15C_form__cstmt_t_data_t** dst);
typedef struct _fx_LS_data_t {
int_ rc;
struct _fx_LS_data_t* tl;
fx_str_t hd;
} _fx_LS_data_t, *_fx_LS;
typedef struct _fx_N17Options__optval_t {
int tag;
union {
bool OptBool;
int_ OptInt;
fx_str_t OptString;
} u;
} _fx_N17Options__optval_t;
typedef struct _fx_T2SN17Options__optval_t {
fx_str_t t0;
struct _fx_N17Options__optval_t t1;
} _fx_T2SN17Options__optval_t;
typedef struct _fx_LT2SN17Options__optval_t_data_t {
int_ rc;
struct _fx_LT2SN17Options__optval_t_data_t* tl;
struct _fx_T2SN17Options__optval_t hd;
} _fx_LT2SN17Options__optval_t_data_t, *_fx_LT2SN17Options__optval_t;
typedef struct _fx_R18Options__options_t {
struct _fx_LS_data_t* app_args;
fx_str_t app_filename;
bool arch64;
bool force_rebuild;
fx_str_t build_dir;
fx_str_t build_rootdir;
fx_str_t cflags;
fx_str_t clibs;
bool compile_by_cpp;
fx_str_t filename;
bool gen_c;
struct _fx_LS_data_t* include_path;
bool debug;
struct _fx_LT2SN17Options__optval_t_data_t* defines;
int_ optim_iters;
int_ inline_thresh;
bool enable_openmp;
bool relax;
bool use_preamble;
bool make_app;
int_ optimize_level;
fx_str_t output_name;
bool print_ast0;
bool print_ast;
bool print_k0;
bool print_k;
bool print_tokens;
bool run_app;
bool verbose;
bool W_unused;
} _fx_R18Options__options_t;
typedef struct _fx_Ta2i {
int_ t0;
int_ t1;
} _fx_Ta2i;
typedef struct _fx_T2Ta2iS {
struct _fx_Ta2i t0;
fx_str_t t1;
} _fx_T2Ta2iS;
typedef struct _fx_R9Ast__id_t {
int_ m;
int_ i;
int_ j;
} _fx_R9Ast__id_t;
typedef struct _fx_R10Ast__loc_t {
int_ m_idx;
int_ line0;
int_ col0;
int_ line1;
int_ col1;
} _fx_R10Ast__loc_t;
typedef struct _fx_T2Bi {
bool t0;
int_ t1;
} _fx_T2Bi;
typedef struct _fx_N12Ast__scope_t {
int tag;
union {
int_ ScBlock;
struct _fx_T2Bi ScLoop;
int_ ScFold;
int_ ScArrMap;
int_ ScMap;
int_ ScTry;
struct _fx_R9Ast__id_t ScFun;
struct _fx_R9Ast__id_t ScClass;
struct _fx_R9Ast__id_t ScInterface;
int_ ScModule;
} u;
} _fx_N12Ast__scope_t;
typedef struct _fx_LN12Ast__scope_t_data_t {
int_ rc;
struct _fx_LN12Ast__scope_t_data_t* tl;
struct _fx_N12Ast__scope_t hd;
} _fx_LN12Ast__scope_t_data_t, *_fx_LN12Ast__scope_t;
typedef struct _fx_LR9Ast__id_t_data_t {
int_ rc;
struct _fx_LR9Ast__id_t_data_t* tl;
struct _fx_R9Ast__id_t hd;
} _fx_LR9Ast__id_t_data_t, *_fx_LR9Ast__id_t;
typedef struct _fx_T2R10Ast__loc_tS {
struct _fx_R10Ast__loc_t t0;
fx_str_t t1;
} _fx_T2R10Ast__loc_tS;
typedef struct _fx_N13PP__ppstyle_t {
int tag;
} _fx_N13PP__ppstyle_t;
typedef struct _fx_T3iiC {
int_ t0;
int_ t1;
char_ t2;
} _fx_T3iiC;
typedef struct _fx_T2iN13PP__ppstyle_t {
int_ t0;
struct _fx_N13PP__ppstyle_t t1;
} _fx_T2iN13PP__ppstyle_t;
typedef struct _fx_N11PP__pptok_t {
int tag;
union {
fx_str_t PPString;
struct _fx_T3iiC PPBreak;
struct _fx_T2iN13PP__ppstyle_t PPBegin;
} u;
} _fx_N11PP__pptok_t;
typedef struct _fx_T2N11PP__pptok_ti {
struct _fx_N11PP__pptok_t t0;
int_ t1;
} _fx_T2N11PP__pptok_ti;
typedef struct _fx_R11PP__state_t {
int_ space;
int_ left;
int_ right;
int_ top;
int_ bottom;
int_ lefttotal;
int_ righttotal;
fx_arr_t q;
fx_arr_t stack;
fx_arr_t pp_stack;
int_ pp_top;
bool emptystack;
} _fx_R11PP__state_t;
typedef struct _fx_FPv1S {
int (*fp)(fx_str_t*, void*);
fx_fcv_t* fcv;
} _fx_FPv1S;
typedef struct _fx_FPLS0 {
int (*fp)(struct _fx_LS_data_t**, void*);
fx_fcv_t* fcv;
} _fx_FPLS0;
typedef struct _fx_rR11PP__state_t_data_t {
int_ rc;
struct _fx_R11PP__state_t data;
} _fx_rR11PP__state_t_data_t, *_fx_rR11PP__state_t;
typedef struct _fx_R5PP__t {
int_ margin;
int_ default_indent;
struct _fx_FPv1S print_f;
struct _fx_FPLS0 get_f;
struct _fx_rR11PP__state_t_data_t* r;
} _fx_R5PP__t;
typedef struct _fx_T2il {
int_ t0;
int64_t t1;
} _fx_T2il;
typedef struct _fx_T2iq {
int_ t0;
uint64_t t1;
} _fx_T2iq;
typedef struct _fx_T2id {
int_ t0;
double t1;
} _fx_T2id;
typedef struct _fx_N14K_form__klit_t {
int tag;
union {
int64_t KLitInt;
struct _fx_T2il KLitSInt;
struct _fx_T2iq KLitUInt;
struct _fx_T2id KLitFloat;
fx_str_t KLitString;
char_ KLitChar;
bool KLitBool;
struct _fx_N14K_form__ktyp_t_data_t* KLitNil;
} u;
} _fx_N14K_form__klit_t;
typedef struct _fx_LN14K_form__ktyp_t_data_t {
int_ rc;
struct _fx_LN14K_form__ktyp_t_data_t* tl;
struct _fx_N14K_form__ktyp_t_data_t* hd;
} _fx_LN14K_form__ktyp_t_data_t, *_fx_LN14K_form__ktyp_t;
typedef struct _fx_T2LN14K_form__ktyp_tN14K_form__ktyp_t {
struct _fx_LN14K_form__ktyp_t_data_t* t0;
struct _fx_N14K_form__ktyp_t_data_t* t1;
} _fx_T2LN14K_form__ktyp_tN14K_form__ktyp_t;
typedef struct _fx_T2R9Ast__id_tN14K_form__ktyp_t {
struct _fx_R9Ast__id_t t0;
struct _fx_N14K_form__ktyp_t_data_t* t1;
} _fx_T2R9Ast__id_tN14K_form__ktyp_t;
typedef struct _fx_LT2R9Ast__id_tN14K_form__ktyp_t_data_t {
int_ rc;
struct _fx_LT2R9Ast__id_tN14K_form__ktyp_t_data_t* tl;
struct _fx_T2R9Ast__id_tN14K_form__ktyp_t hd;
} _fx_LT2R9Ast__id_tN14K_form__ktyp_t_data_t, *_fx_LT2R9Ast__id_tN14K_form__ktyp_t;
typedef struct _fx_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t {
struct _fx_R9Ast__id_t t0;
struct _fx_LT2R9Ast__id_tN14K_form__ktyp_t_data_t* t1;
} _fx_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t;
typedef struct _fx_T2iN14K_form__ktyp_t {
int_ t0;
struct _fx_N14K_form__ktyp_t_data_t* t1;
} _fx_T2iN14K_form__ktyp_t;
typedef struct _fx_N14K_form__ktyp_t_data_t {
int_ rc;
int tag;
union {
int_ KTypSInt;
int_ KTypUInt;
int_ KTypFloat;
struct _fx_N14K_form__ktyp_t_data_t* KTypRawPointer;
struct _fx_T2LN14K_form__ktyp_tN14K_form__ktyp_t KTypFun;
struct _fx_LN14K_form__ktyp_t_data_t* KTypTuple;
struct _fx_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t KTypRecord;
struct _fx_R9Ast__id_t KTypName;
struct _fx_T2iN14K_form__ktyp_t KTypArray;
struct _fx_N14K_form__ktyp_t_data_t* KTypVector;
struct _fx_N14K_form__ktyp_t_data_t* KTypList;
struct _fx_N14K_form__ktyp_t_data_t* KTypRef;
} u;
} _fx_N14K_form__ktyp_t_data_t, *_fx_N14K_form__ktyp_t;
typedef struct _fx_T2R9Ast__id_tN14C_form__ctyp_t {
struct _fx_R9Ast__id_t t0;
struct _fx_N14C_form__ctyp_t_data_t* t1;
} _fx_T2R9Ast__id_tN14C_form__ctyp_t;
typedef struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t {
int_ rc;
struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t* tl;
struct _fx_T2R9Ast__id_tN14C_form__ctyp_t hd;
} _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t, *_fx_LT2R9Ast__id_tN14C_form__ctyp_t;
typedef struct _fx_R23C_form__cdefinterface_t {
struct _fx_R9Ast__id_t ci_name;
fx_str_t ci_cname;
struct _fx_R9Ast__id_t ci_id;
struct _fx_R9Ast__id_t ci_vtbl;
struct _fx_R9Ast__id_t ci_base;
struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t* ci_all_methods;
struct _fx_LN12Ast__scope_t_data_t* ci_scope;
struct _fx_R10Ast__loc_t ci_loc;
} _fx_R23C_form__cdefinterface_t;
typedef struct _fx_rR23C_form__cdefinterface_t_data_t {
int_ rc;
struct _fx_R23C_form__cdefinterface_t data;
} _fx_rR23C_form__cdefinterface_t_data_t, *_fx_rR23C_form__cdefinterface_t;
typedef struct _fx_Nt6option1N14C_form__ctyp_t {
int tag;
union {
struct _fx_N14C_form__ctyp_t_data_t* Some;
} u;
} _fx_Nt6option1N14C_form__ctyp_t;
typedef struct _fx_Nt6option1N14C_form__cexp_t {
int tag;
union {
struct _fx_N14C_form__cexp_t_data_t* Some;
} u;
} _fx_Nt6option1N14C_form__cexp_t;
typedef struct _fx_Nt6option1R9Ast__id_t {
int tag;
union {
struct _fx_R9Ast__id_t Some;
} u;
} _fx_Nt6option1R9Ast__id_t;
typedef struct _fx_T2R9Ast__id_ti {
struct _fx_R9Ast__id_t t0;
int_ t1;
} _fx_T2R9Ast__id_ti;
typedef struct _fx_R16Ast__val_flags_t {
bool val_flag_arg;
bool val_flag_mutable;
bool val_flag_temp;
bool val_flag_tempref;
bool val_flag_private;
bool val_flag_subarray;
bool val_flag_instance;
struct _fx_T2R9Ast__id_ti val_flag_method;
int_ val_flag_ctor;
struct _fx_LN12Ast__scope_t_data_t* val_flag_global;
} _fx_R16Ast__val_flags_t;
typedef struct _fx_N12Ast__cmpop_t {
int tag;
} _fx_N12Ast__cmpop_t;
typedef struct _fx_N17Ast__fun_constr_t {
int tag;
union {
int_ CtorVariant;
struct _fx_R9Ast__id_t CtorFP;
struct _fx_R9Ast__id_t CtorExn;
} u;
} _fx_N17Ast__fun_constr_t;
typedef struct _fx_R16Ast__fun_flags_t {
int_ fun_flag_pure;
bool fun_flag_ccode;
bool fun_flag_have_keywords;
bool fun_flag_inline;
bool fun_flag_nothrow;
bool fun_flag_really_nothrow;
bool fun_flag_private;
struct _fx_N17Ast__fun_constr_t fun_flag_ctor;
struct _fx_R9Ast__id_t fun_flag_method_of;
bool fun_flag_uses_fv;
bool fun_flag_recursive;
bool fun_flag_instance;
} _fx_R16Ast__fun_flags_t;
typedef struct _fx_Ta2R9Ast__id_t {
struct _fx_R9Ast__id_t t0;
struct _fx_R9Ast__id_t t1;
} _fx_Ta2R9Ast__id_t;
typedef struct _fx_T2R9Ast__id_tR10Ast__loc_t {
struct _fx_R9Ast__id_t t0;
struct _fx_R10Ast__loc_t t1;
} _fx_T2R9Ast__id_tR10Ast__loc_t;
typedef struct _fx_T2SR10Ast__loc_t {
fx_str_t t0;
struct _fx_R10Ast__loc_t t1;
} _fx_T2SR10Ast__loc_t;
typedef struct _fx_N17C_form__cbinary_t {
int tag;
union {
struct _fx_N12Ast__cmpop_t COpCmp;
} u;
} _fx_N17C_form__cbinary_t;
typedef struct _fx_N16C_form__cunary_t {
int tag;
} _fx_N16C_form__cunary_t;
typedef struct _fx_N19C_form__ctyp_attr_t {
int tag;
} _fx_N19C_form__ctyp_attr_t;
typedef struct _fx_N19C_form__carg_attr_t {
int tag;
} _fx_N19C_form__carg_attr_t;
typedef struct _fx_R17C_form__ctprops_t {
bool ctp_scalar;
bool ctp_complex;
bool ctp_ptr;
bool ctp_pass_by_ref;
struct _fx_LR9Ast__id_t_data_t* ctp_make;
struct _fx_Ta2R9Ast__id_t ctp_free;
struct _fx_Ta2R9Ast__id_t ctp_copy;
} _fx_R17C_form__ctprops_t;
typedef struct _fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t {
struct _fx_Nt6option1R9Ast__id_t t0;
struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t* t1;
} _fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t;
typedef struct _fx_LN14C_form__ctyp_t_data_t {
int_ rc;
struct _fx_LN14C_form__ctyp_t_data_t* tl;
struct _fx_N14C_form__ctyp_t_data_t* hd;
} _fx_LN14C_form__ctyp_t_data_t, *_fx_LN14C_form__ctyp_t;
typedef struct _fx_T2LN14C_form__ctyp_tN14C_form__ctyp_t {
struct _fx_LN14C_form__ctyp_t_data_t* t0;
struct _fx_N14C_form__ctyp_t_data_t* t1;
} _fx_T2LN14C_form__ctyp_tN14C_form__ctyp_t;
typedef struct _fx_LN19C_form__ctyp_attr_t_data_t {
int_ rc;
struct _fx_LN19C_form__ctyp_attr_t_data_t* tl;
struct _fx_N19C_form__ctyp_attr_t hd;
} _fx_LN19C_form__ctyp_attr_t_data_t, *_fx_LN19C_form__ctyp_attr_t;
typedef struct _fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t {
struct _fx_LN19C_form__ctyp_attr_t_data_t* t0;
struct _fx_N14C_form__ctyp_t_data_t* t1;
} _fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t;
typedef struct _fx_T2iN14C_form__ctyp_t {
int_ t0;
struct _fx_N14C_form__ctyp_t_data_t* t1;
} _fx_T2iN14C_form__ctyp_t;
typedef struct _fx_N14C_form__ctyp_t_data_t {
int_ rc;
int tag;
union {
int_ CTypSInt;
int_ CTypUInt;
int_ CTypFloat;
struct _fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t CTypStruct;
struct _fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t CTypUnion;
struct _fx_T2LN14C_form__ctyp_tN14C_form__ctyp_t CTypFunRawPtr;
struct _fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t CTypRawPtr;
struct _fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t CTypRawArray;
struct _fx_T2iN14C_form__ctyp_t CTypArray;
struct _fx_N14C_form__ctyp_t_data_t* CTypVector;
struct _fx_R9Ast__id_t CTypName;
} u;
} _fx_N14C_form__ctyp_t_data_t, *_fx_N14C_form__ctyp_t;
typedef struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t {
struct _fx_N14C_form__ctyp_t_data_t* t0;
struct _fx_R10Ast__loc_t t1;
} _fx_T2N14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t {
struct _fx_R9Ast__id_t t0;
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t t1;
} _fx_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t {
struct _fx_N14K_form__klit_t t0;
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t t1;
} _fx_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t {
struct _fx_N17C_form__cbinary_t t0;
struct _fx_N14C_form__cexp_t_data_t* t1;
struct _fx_N14C_form__cexp_t_data_t* t2;
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t t3;
} _fx_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t {
struct _fx_N16C_form__cunary_t t0;
struct _fx_N14C_form__cexp_t_data_t* t1;
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t t2;
} _fx_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t {
struct _fx_N14C_form__cexp_t_data_t* t0;
struct _fx_R9Ast__id_t t1;
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t t2;
} _fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t {
struct _fx_N14C_form__cexp_t_data_t* t0;
struct _fx_N14C_form__ctyp_t_data_t* t1;
struct _fx_R10Ast__loc_t t2;
} _fx_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t {
struct _fx_N14C_form__cexp_t_data_t* t0;
struct _fx_N14C_form__cexp_t_data_t* t1;
struct _fx_N14C_form__cexp_t_data_t* t2;
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t t3;
} _fx_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_LN14C_form__cexp_t_data_t {
int_ rc;
struct _fx_LN14C_form__cexp_t_data_t* tl;
struct _fx_N14C_form__cexp_t_data_t* hd;
} _fx_LN14C_form__cexp_t_data_t, *_fx_LN14C_form__cexp_t;
typedef struct _fx_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t {
struct _fx_N14C_form__cexp_t_data_t* t0;
struct _fx_LN14C_form__cexp_t_data_t* t1;
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t t2;
} _fx_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t {
struct _fx_LN14C_form__cexp_t_data_t* t0;
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t t1;
} _fx_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t;
typedef struct _fx_N14C_form__cexp_t_data_t {
int_ rc;
int tag;
union {
struct _fx_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t CExpIdent;
struct _fx_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t CExpLit;
struct _fx_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t CExpBinary;
struct _fx_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t CExpUnary;
struct _fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t CExpMem;
struct _fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t CExpArrow;
struct _fx_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t CExpCast;
struct _fx_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t CExpTernary;
struct _fx_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t CExpCall;
struct _fx_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t CExpInit;
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t CExpTyp;
struct _fx_T2SR10Ast__loc_t CExpCCode;
} u;
} _fx_N14C_form__cexp_t_data_t, *_fx_N14C_form__cexp_t;
typedef struct _fx_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t {
struct _fx_Nt6option1N14C_form__cexp_t t0;
struct _fx_R10Ast__loc_t t1;
} _fx_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t;
typedef struct _fx_LN15C_form__cstmt_t_data_t {
int_ rc;
struct _fx_LN15C_form__cstmt_t_data_t* tl;
struct _fx_N15C_form__cstmt_t_data_t* hd;
} _fx_LN15C_form__cstmt_t_data_t, *_fx_LN15C_form__cstmt_t;
typedef struct _fx_T2LN15C_form__cstmt_tR10Ast__loc_t {
struct _fx_LN15C_form__cstmt_t_data_t* t0;
struct _fx_R10Ast__loc_t t1;
} _fx_T2LN15C_form__cstmt_tR10Ast__loc_t;
typedef struct _fx_T2R9Ast__id_tN15C_form__cstmt_t {
struct _fx_R9Ast__id_t t0;
struct _fx_N15C_form__cstmt_t_data_t* t1;
} _fx_T2R9Ast__id_tN15C_form__cstmt_t;
typedef struct _fx_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t {
struct _fx_N14C_form__cexp_t_data_t* t0;
struct _fx_N15C_form__cstmt_t_data_t* t1;
struct _fx_N15C_form__cstmt_t_data_t* t2;
struct _fx_R10Ast__loc_t t3;
} _fx_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t;
typedef struct _fx_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t {
struct _fx_Nt6option1N14C_form__ctyp_t t0;
struct _fx_LN14C_form__cexp_t_data_t* t1;
struct _fx_Nt6option1N14C_form__cexp_t t2;
struct _fx_LN14C_form__cexp_t_data_t* t3;
struct _fx_N15C_form__cstmt_t_data_t* t4;
struct _fx_R10Ast__loc_t t5;
} _fx_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t;
typedef struct _fx_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t {
struct _fx_N14C_form__cexp_t_data_t* t0;
struct _fx_N15C_form__cstmt_t_data_t* t1;
struct _fx_R10Ast__loc_t t2;
} _fx_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t;
typedef struct _fx_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t {
struct _fx_N15C_form__cstmt_t_data_t* t0;
struct _fx_N14C_form__cexp_t_data_t* t1;
struct _fx_R10Ast__loc_t t2;
} _fx_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t;
typedef struct _fx_T2LN14C_form__cexp_tLN15C_form__cstmt_t {
struct _fx_LN14C_form__cexp_t_data_t* t0;
struct _fx_LN15C_form__cstmt_t_data_t* t1;
} _fx_T2LN14C_form__cexp_tLN15C_form__cstmt_t;
typedef struct _fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t_data_t {
int_ rc;
struct _fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t_data_t* tl;
struct _fx_T2LN14C_form__cexp_tLN15C_form__cstmt_t hd;
} _fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t_data_t, *_fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t;
typedef struct _fx_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t {
struct _fx_N14C_form__cexp_t_data_t* t0;
struct _fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t_data_t* t1;
struct _fx_R10Ast__loc_t t2;
} _fx_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t;
typedef struct _fx_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t {
struct _fx_N14C_form__ctyp_t_data_t* t0;
struct _fx_R9Ast__id_t t1;
struct _fx_Nt6option1N14C_form__cexp_t t2;
struct _fx_R10Ast__loc_t t3;
} _fx_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t;
typedef struct _fx_LN19C_form__carg_attr_t_data_t {
int_ rc;
struct _fx_LN19C_form__carg_attr_t_data_t* tl;
struct _fx_N19C_form__carg_attr_t hd;
} _fx_LN19C_form__carg_attr_t_data_t, *_fx_LN19C_form__carg_attr_t;
typedef struct _fx_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t {
struct _fx_R9Ast__id_t t0;
struct _fx_N14C_form__ctyp_t_data_t* t1;
struct _fx_LN19C_form__carg_attr_t_data_t* t2;
} _fx_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t;
typedef struct _fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t_data_t {
int_ rc;
struct _fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t_data_t* tl;
struct _fx_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t hd;
} _fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t_data_t, *_fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t;
typedef struct _fx_R17C_form__cdeffun_t {
struct _fx_R9Ast__id_t cf_name;
fx_str_t cf_cname;
struct _fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t_data_t* cf_args;
struct _fx_N14C_form__ctyp_t_data_t* cf_rt;
struct _fx_LN15C_form__cstmt_t_data_t* cf_body;
struct _fx_R16Ast__fun_flags_t cf_flags;
struct _fx_LN12Ast__scope_t_data_t* cf_scope;
struct _fx_R10Ast__loc_t cf_loc;
} _fx_R17C_form__cdeffun_t;
typedef struct _fx_rR17C_form__cdeffun_t_data_t {
int_ rc;
struct _fx_R17C_form__cdeffun_t data;
} _fx_rR17C_form__cdeffun_t_data_t, *_fx_rR17C_form__cdeffun_t;
typedef struct _fx_R17C_form__cdeftyp_t {
struct _fx_R9Ast__id_t ct_name;
struct _fx_N14C_form__ctyp_t_data_t* ct_typ;
fx_str_t ct_cname;
struct _fx_R17C_form__ctprops_t ct_props;
int_ ct_data_start;
struct _fx_R9Ast__id_t ct_enum;
struct _fx_LR9Ast__id_t_data_t* ct_ifaces;
struct _fx_R9Ast__id_t ct_ifaces_id;
struct _fx_LN12Ast__scope_t_data_t* ct_scope;
struct _fx_R10Ast__loc_t ct_loc;
} _fx_R17C_form__cdeftyp_t;
typedef struct _fx_rR17C_form__cdeftyp_t_data_t {
int_ rc;
struct _fx_R17C_form__cdeftyp_t data;
} _fx_rR17C_form__cdeftyp_t_data_t, *_fx_rR17C_form__cdeftyp_t;
typedef struct _fx_T2R9Ast__id_tNt6option1N14C_form__cexp_t {
struct _fx_R9Ast__id_t t0;
struct _fx_Nt6option1N14C_form__cexp_t t1;
} _fx_T2R9Ast__id_tNt6option1N14C_form__cexp_t;
typedef struct _fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t_data_t {
int_ rc;
struct _fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t_data_t* tl;
struct _fx_T2R9Ast__id_tNt6option1N14C_form__cexp_t hd;
} _fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t_data_t, *_fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t;
typedef struct _fx_R18C_form__cdefenum_t {
struct _fx_R9Ast__id_t cenum_name;
struct _fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t_data_t* cenum_members;
fx_str_t cenum_cname;
struct _fx_LN12Ast__scope_t_data_t* cenum_scope;
struct _fx_R10Ast__loc_t cenum_loc;
} _fx_R18C_form__cdefenum_t;
typedef struct _fx_rR18C_form__cdefenum_t_data_t {
int_ rc;
struct _fx_R18C_form__cdefenum_t data;
} _fx_rR18C_form__cdefenum_t_data_t, *_fx_rR18C_form__cdefenum_t;
typedef struct _fx_R19C_form__cdefmacro_t {
struct _fx_R9Ast__id_t cm_name;
fx_str_t cm_cname;
struct _fx_LR9Ast__id_t_data_t* cm_args;
struct _fx_LN15C_form__cstmt_t_data_t* cm_body;
struct _fx_LN12Ast__scope_t_data_t* cm_scope;
struct _fx_R10Ast__loc_t cm_loc;
} _fx_R19C_form__cdefmacro_t;
typedef struct _fx_rR19C_form__cdefmacro_t_data_t {
int_ rc;
struct _fx_R19C_form__cdefmacro_t data;
} _fx_rR19C_form__cdefmacro_t_data_t, *_fx_rR19C_form__cdefmacro_t;
typedef struct _fx_T2N14C_form__cexp_tLN15C_form__cstmt_t {
struct _fx_N14C_form__cexp_t_data_t* t0;
struct _fx_LN15C_form__cstmt_t_data_t* t1;
} _fx_T2N14C_form__cexp_tLN15C_form__cstmt_t;
typedef struct _fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t_data_t {
int_ rc;
struct _fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t_data_t* tl;
struct _fx_T2N14C_form__cexp_tLN15C_form__cstmt_t hd;
} _fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t_data_t, *_fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t;
typedef struct _fx_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t {
struct _fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t_data_t* t0;
struct _fx_LN15C_form__cstmt_t_data_t* t1;
struct _fx_R10Ast__loc_t t2;
} _fx_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t;
typedef struct _fx_N15C_form__cstmt_t_data_t {
int_ rc;
int tag;
union {
struct _fx_R10Ast__loc_t CStmtNop;
struct _fx_T2SR10Ast__loc_t CComment;
struct _fx_N14C_form__cexp_t_data_t* CExp;
struct _fx_R10Ast__loc_t CStmtBreak;
struct _fx_R10Ast__loc_t CStmtContinue;
struct _fx_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t CStmtReturn;
struct _fx_T2LN15C_form__cstmt_tR10Ast__loc_t CStmtBlock;
struct _fx_T2R9Ast__id_tN15C_form__cstmt_t CStmtSync;
struct _fx_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t CStmtIf;
struct _fx_T2R9Ast__id_tR10Ast__loc_t CStmtGoto;
struct _fx_T2R9Ast__id_tR10Ast__loc_t CStmtLabel;
struct _fx_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t
CStmtFor;
struct _fx_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t CStmtWhile;
struct _fx_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t CStmtDoWhile;
struct _fx_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t CStmtSwitch;
struct _fx_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t CDefVal;
struct _fx_rR17C_form__cdeffun_t_data_t* CDefFun;
struct _fx_rR17C_form__cdeftyp_t_data_t* CDefTyp;
struct _fx_T2R9Ast__id_tR10Ast__loc_t CDefForwardSym;
struct _fx_T2R9Ast__id_tR10Ast__loc_t CDefForwardTyp;
struct _fx_rR18C_form__cdefenum_t_data_t* CDefEnum;
struct _fx_rR23C_form__cdefinterface_t_data_t* CDefInterface;
struct _fx_rR19C_form__cdefmacro_t_data_t* CMacroDef;
struct _fx_T2R9Ast__id_tR10Ast__loc_t CMacroUndef;
struct _fx_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t CMacroIf;
struct _fx_T2SR10Ast__loc_t CMacroInclude;
struct _fx_T2SR10Ast__loc_t CMacroPragma;
} u;
} _fx_N15C_form__cstmt_t_data_t, *_fx_N15C_form__cstmt_t;
typedef struct _fx_R17C_form__cdefval_t {
struct _fx_R9Ast__id_t cv_name;
struct _fx_N14C_form__ctyp_t_data_t* cv_typ;
fx_str_t cv_cname;
struct _fx_R16Ast__val_flags_t cv_flags;
struct _fx_R10Ast__loc_t cv_loc;
} _fx_R17C_form__cdefval_t;
typedef struct _fx_R19C_form__cdeflabel_t {
struct _fx_R9Ast__id_t cl_name;
fx_str_t cl_cname;
struct _fx_R10Ast__loc_t cl_loc;
} _fx_R19C_form__cdeflabel_t;
typedef struct _fx_R17C_form__cdefexn_t {
struct _fx_R9Ast__id_t cexn_name;
fx_str_t cexn_cname;
fx_str_t cexn_base_cname;
struct _fx_N14C_form__ctyp_t_data_t* cexn_typ;
bool cexn_std;
struct _fx_R9Ast__id_t cexn_tag;
struct _fx_R9Ast__id_t cexn_data;
struct _fx_R9Ast__id_t cexn_info;
struct _fx_R9Ast__id_t cexn_make;
struct _fx_LN12Ast__scope_t_data_t* cexn_scope;
struct _fx_R10Ast__loc_t cexn_loc;
} _fx_R17C_form__cdefexn_t;
typedef struct _fx_rR17C_form__cdefexn_t_data_t {
int_ rc;
struct _fx_R17C_form__cdefexn_t data;
} _fx_rR17C_form__cdefexn_t_data_t, *_fx_rR17C_form__cdefexn_t;
typedef struct _fx_N15C_form__cinfo_t {
int tag;
union {
struct _fx_R17C_form__cdefval_t CVal;
struct _fx_rR17C_form__cdeffun_t_data_t* CFun;
struct _fx_rR17C_form__cdeftyp_t_data_t* CTyp;
struct _fx_rR17C_form__cdefexn_t_data_t* CExn;
struct _fx_rR23C_form__cdefinterface_t_data_t* CInterface;
struct _fx_rR18C_form__cdefenum_t_data_t* CEnum;
struct _fx_R19C_form__cdeflabel_t CLabel;
struct _fx_rR19C_form__cdefmacro_t_data_t* CMacro;
} u;
} _fx_N15C_form__cinfo_t;
typedef struct _fx_N13C_pp__assoc_t {
int tag;
} _fx_N13C_pp__assoc_t;
typedef struct _fx_T3SiN13C_pp__assoc_t {
fx_str_t t0;
int_ t1;
struct _fx_N13C_pp__assoc_t t2;
} _fx_T3SiN13C_pp__assoc_t;
typedef struct {
int_ rc;
int_ data;
} _fx_E4Exit_data_t;
typedef struct {
int_ rc;
fx_str_t data;
} _fx_E4Fail_data_t;
typedef struct {
int_ rc;
struct _fx_T2Ta2iS data;
} _fx_E22LexerUtils__LexerError_data_t;
typedef struct {
int_ rc;
struct _fx_T2R10Ast__loc_tS data;
} _fx_E17Ast__CompileError_data_t;
typedef struct {
int_ rc;
struct _fx_T2R10Ast__loc_tS data;
} _fx_E18Parser__ParseError_data_t;
static void _fx_free_LS(struct _fx_LS_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LS, fx_free_str);
}
static int _fx_cons_LS(fx_str_t* hd, struct _fx_LS_data_t* tl, bool addref_tl, struct _fx_LS_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LS, fx_copy_str);
}
static void _fx_free_N17Options__optval_t(struct _fx_N17Options__optval_t* dst)
{
switch (dst->tag) {
case 3:
fx_free_str(&dst->u.OptString); break;
default:
;
}
dst->tag = 0;
}
static void _fx_copy_N17Options__optval_t(struct _fx_N17Options__optval_t* src, struct _fx_N17Options__optval_t* dst)
{
dst->tag = src->tag;
switch (src->tag) {
case 3:
fx_copy_str(&src->u.OptString, &dst->u.OptString); break;
default:
dst->u = src->u;
}
}
static void _fx_free_T2SN17Options__optval_t(struct _fx_T2SN17Options__optval_t* dst)
{
fx_free_str(&dst->t0);
_fx_free_N17Options__optval_t(&dst->t1);
}
static void _fx_copy_T2SN17Options__optval_t(struct _fx_T2SN17Options__optval_t* src, struct _fx_T2SN17Options__optval_t* dst)
{
fx_copy_str(&src->t0, &dst->t0);
_fx_copy_N17Options__optval_t(&src->t1, &dst->t1);
}
static void _fx_make_T2SN17Options__optval_t(
fx_str_t* t0,
struct _fx_N17Options__optval_t* t1,
struct _fx_T2SN17Options__optval_t* fx_result)
{
fx_copy_str(t0, &fx_result->t0);
_fx_copy_N17Options__optval_t(t1, &fx_result->t1);
}
static void _fx_free_LT2SN17Options__optval_t(struct _fx_LT2SN17Options__optval_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LT2SN17Options__optval_t, _fx_free_T2SN17Options__optval_t);
}
static int _fx_cons_LT2SN17Options__optval_t(
struct _fx_T2SN17Options__optval_t* hd,
struct _fx_LT2SN17Options__optval_t_data_t* tl,
bool addref_tl,
struct _fx_LT2SN17Options__optval_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LT2SN17Options__optval_t, _fx_copy_T2SN17Options__optval_t);
}
static void _fx_free_R18Options__options_t(struct _fx_R18Options__options_t* dst)
{
_fx_free_LS(&dst->app_args);
fx_free_str(&dst->app_filename);
fx_free_str(&dst->build_dir);
fx_free_str(&dst->build_rootdir);
fx_free_str(&dst->cflags);
fx_free_str(&dst->clibs);
fx_free_str(&dst->filename);
_fx_free_LS(&dst->include_path);
_fx_free_LT2SN17Options__optval_t(&dst->defines);
fx_free_str(&dst->output_name);
}
static void _fx_copy_R18Options__options_t(struct _fx_R18Options__options_t* src, struct _fx_R18Options__options_t* dst)
{
FX_COPY_PTR(src->app_args, &dst->app_args);
fx_copy_str(&src->app_filename, &dst->app_filename);
dst->arch64 = src->arch64;
dst->force_rebuild = src->force_rebuild;
fx_copy_str(&src->build_dir, &dst->build_dir);
fx_copy_str(&src->build_rootdir, &dst->build_rootdir);
fx_copy_str(&src->cflags, &dst->cflags);
fx_copy_str(&src->clibs, &dst->clibs);
dst->compile_by_cpp = src->compile_by_cpp;
fx_copy_str(&src->filename, &dst->filename);
dst->gen_c = src->gen_c;
FX_COPY_PTR(src->include_path, &dst->include_path);
dst->debug = src->debug;
FX_COPY_PTR(src->defines, &dst->defines);
dst->optim_iters = src->optim_iters;
dst->inline_thresh = src->inline_thresh;
dst->enable_openmp = src->enable_openmp;
dst->relax = src->relax;
dst->use_preamble = src->use_preamble;
dst->make_app = src->make_app;
dst->optimize_level = src->optimize_level;
fx_copy_str(&src->output_name, &dst->output_name);
dst->print_ast0 = src->print_ast0;
dst->print_ast = src->print_ast;
dst->print_k0 = src->print_k0;
dst->print_k = src->print_k;
dst->print_tokens = src->print_tokens;
dst->run_app = src->run_app;
dst->verbose = src->verbose;
dst->W_unused = src->W_unused;
}
static void _fx_make_R18Options__options_t(
struct _fx_LS_data_t* r_app_args,
fx_str_t* r_app_filename,
bool r_arch64,
bool r_force_rebuild,
fx_str_t* r_build_dir,
fx_str_t* r_build_rootdir,
fx_str_t* r_cflags,
fx_str_t* r_clibs,
bool r_compile_by_cpp,
fx_str_t* r_filename,
bool r_gen_c,
struct _fx_LS_data_t* r_include_path,
bool r_debug,
struct _fx_LT2SN17Options__optval_t_data_t* r_defines,
int_ r_optim_iters,
int_ r_inline_thresh,
bool r_enable_openmp,
bool r_relax,
bool r_use_preamble,
bool r_make_app,
int_ r_optimize_level,
fx_str_t* r_output_name,
bool r_print_ast0,
bool r_print_ast,
bool r_print_k0,
bool r_print_k,
bool r_print_tokens,
bool r_run_app,
bool r_verbose,
bool r_W_unused,
struct _fx_R18Options__options_t* fx_result)
{
FX_COPY_PTR(r_app_args, &fx_result->app_args);
fx_copy_str(r_app_filename, &fx_result->app_filename);
fx_result->arch64 = r_arch64;
fx_result->force_rebuild = r_force_rebuild;
fx_copy_str(r_build_dir, &fx_result->build_dir);
fx_copy_str(r_build_rootdir, &fx_result->build_rootdir);
fx_copy_str(r_cflags, &fx_result->cflags);
fx_copy_str(r_clibs, &fx_result->clibs);
fx_result->compile_by_cpp = r_compile_by_cpp;
fx_copy_str(r_filename, &fx_result->filename);
fx_result->gen_c = r_gen_c;
FX_COPY_PTR(r_include_path, &fx_result->include_path);
fx_result->debug = r_debug;
FX_COPY_PTR(r_defines, &fx_result->defines);
fx_result->optim_iters = r_optim_iters;
fx_result->inline_thresh = r_inline_thresh;
fx_result->enable_openmp = r_enable_openmp;
fx_result->relax = r_relax;
fx_result->use_preamble = r_use_preamble;
fx_result->make_app = r_make_app;
fx_result->optimize_level = r_optimize_level;
fx_copy_str(r_output_name, &fx_result->output_name);
fx_result->print_ast0 = r_print_ast0;
fx_result->print_ast = r_print_ast;
fx_result->print_k0 = r_print_k0;
fx_result->print_k = r_print_k;
fx_result->print_tokens = r_print_tokens;
fx_result->run_app = r_run_app;
fx_result->verbose = r_verbose;
fx_result->W_unused = r_W_unused;
}
static void _fx_free_T2Ta2iS(struct _fx_T2Ta2iS* dst)
{
fx_free_str(&dst->t1);
}
static void _fx_copy_T2Ta2iS(struct _fx_T2Ta2iS* src, struct _fx_T2Ta2iS* dst)
{
dst->t0 = src->t0;
fx_copy_str(&src->t1, &dst->t1);
}
static void _fx_make_T2Ta2iS(struct _fx_Ta2i* t0, fx_str_t* t1, struct _fx_T2Ta2iS* fx_result)
{
fx_result->t0 = *t0;
fx_copy_str(t1, &fx_result->t1);
}
static int _fx_cons_LN12Ast__scope_t(
struct _fx_N12Ast__scope_t* hd,
struct _fx_LN12Ast__scope_t_data_t* tl,
bool addref_tl,
struct _fx_LN12Ast__scope_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LN12Ast__scope_t, FX_COPY_SIMPLE_BY_PTR);
}
static int _fx_cons_LR9Ast__id_t(
struct _fx_R9Ast__id_t* hd,
struct _fx_LR9Ast__id_t_data_t* tl,
bool addref_tl,
struct _fx_LR9Ast__id_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LR9Ast__id_t, FX_COPY_SIMPLE_BY_PTR);
}
static void _fx_free_T2R10Ast__loc_tS(struct _fx_T2R10Ast__loc_tS* dst)
{
fx_free_str(&dst->t1);
}
static void _fx_copy_T2R10Ast__loc_tS(struct _fx_T2R10Ast__loc_tS* src, struct _fx_T2R10Ast__loc_tS* dst)
{
dst->t0 = src->t0;
fx_copy_str(&src->t1, &dst->t1);
}
static void _fx_make_T2R10Ast__loc_tS(struct _fx_R10Ast__loc_t* t0, fx_str_t* t1, struct _fx_T2R10Ast__loc_tS* fx_result)
{
fx_result->t0 = *t0;
fx_copy_str(t1, &fx_result->t1);
}
static void _fx_free_N11PP__pptok_t(struct _fx_N11PP__pptok_t* dst)
{
switch (dst->tag) {
case 1:
fx_free_str(&dst->u.PPString); break;
default:
;
}
dst->tag = 0;
}
static void _fx_copy_N11PP__pptok_t(struct _fx_N11PP__pptok_t* src, struct _fx_N11PP__pptok_t* dst)
{
dst->tag = src->tag;
switch (src->tag) {
case 1:
fx_copy_str(&src->u.PPString, &dst->u.PPString); break;
default:
dst->u = src->u;
}
}
static void _fx_free_T2N11PP__pptok_ti(struct _fx_T2N11PP__pptok_ti* dst)
{
_fx_free_N11PP__pptok_t(&dst->t0);
}
static void _fx_copy_T2N11PP__pptok_ti(struct _fx_T2N11PP__pptok_ti* src, struct _fx_T2N11PP__pptok_ti* dst)
{
_fx_copy_N11PP__pptok_t(&src->t0, &dst->t0);
dst->t1 = src->t1;
}
static void _fx_make_T2N11PP__pptok_ti(struct _fx_N11PP__pptok_t* t0, int_ t1, struct _fx_T2N11PP__pptok_ti* fx_result)
{
_fx_copy_N11PP__pptok_t(t0, &fx_result->t0);
fx_result->t1 = t1;
}
static void _fx_free_R11PP__state_t(struct _fx_R11PP__state_t* dst)
{
fx_free_arr(&dst->q);
fx_free_arr(&dst->stack);
fx_free_arr(&dst->pp_stack);
}
static void _fx_copy_R11PP__state_t(struct _fx_R11PP__state_t* src, struct _fx_R11PP__state_t* dst)
{
dst->space = src->space;
dst->left = src->left;
dst->right = src->right;
dst->top = src->top;
dst->bottom = src->bottom;
dst->lefttotal = src->lefttotal;
dst->righttotal = src->righttotal;
fx_copy_arr(&src->q, &dst->q);
fx_copy_arr(&src->stack, &dst->stack);
fx_copy_arr(&src->pp_stack, &dst->pp_stack);
dst->pp_top = src->pp_top;
dst->emptystack = src->emptystack;
}
static void _fx_make_R11PP__state_t(
int_ r_space,
int_ r_left,
int_ r_right,
int_ r_top,
int_ r_bottom,
int_ r_lefttotal,
int_ r_righttotal,
fx_arr_t* r_q,
fx_arr_t* r_stack,
fx_arr_t* r_pp_stack,
int_ r_pp_top,
bool r_emptystack,
struct _fx_R11PP__state_t* fx_result)
{
fx_result->space = r_space;
fx_result->left = r_left;
fx_result->right = r_right;
fx_result->top = r_top;
fx_result->bottom = r_bottom;
fx_result->lefttotal = r_lefttotal;
fx_result->righttotal = r_righttotal;
fx_copy_arr(r_q, &fx_result->q);
fx_copy_arr(r_stack, &fx_result->stack);
fx_copy_arr(r_pp_stack, &fx_result->pp_stack);
fx_result->pp_top = r_pp_top;
fx_result->emptystack = r_emptystack;
}
static void _fx_free_rR11PP__state_t(struct _fx_rR11PP__state_t_data_t** dst)
{
FX_FREE_REF_IMPL(_fx_rR11PP__state_t, _fx_free_R11PP__state_t);
}
static int _fx_make_rR11PP__state_t(struct _fx_R11PP__state_t* arg, struct _fx_rR11PP__state_t_data_t** fx_result)
{
FX_MAKE_REF_IMPL(_fx_rR11PP__state_t, _fx_copy_R11PP__state_t);
}
static void _fx_free_R5PP__t(struct _fx_R5PP__t* dst)
{
fx_free_fp(&dst->print_f);
fx_free_fp(&dst->get_f);
_fx_free_rR11PP__state_t(&dst->r);
}
static void _fx_copy_R5PP__t(struct _fx_R5PP__t* src, struct _fx_R5PP__t* dst)
{
dst->margin = src->margin;
dst->default_indent = src->default_indent;
FX_COPY_FP(&src->print_f, &dst->print_f);
FX_COPY_FP(&src->get_f, &dst->get_f);
FX_COPY_PTR(src->r, &dst->r);
}
static void _fx_make_R5PP__t(
int_ r_margin,
int_ r_default_indent,
struct _fx_FPv1S* r_print_f,
struct _fx_FPLS0* r_get_f,
struct _fx_rR11PP__state_t_data_t* r_r,
struct _fx_R5PP__t* fx_result)
{
fx_result->margin = r_margin;
fx_result->default_indent = r_default_indent;
FX_COPY_FP(r_print_f, &fx_result->print_f);
FX_COPY_FP(r_get_f, &fx_result->get_f);
FX_COPY_PTR(r_r, &fx_result->r);
}
static void _fx_free_N14K_form__klit_t(struct _fx_N14K_form__klit_t* dst)
{
switch (dst->tag) {
case 5:
fx_free_str(&dst->u.KLitString); break;
case 8:
_fx_free_N14K_form__ktyp_t(&dst->u.KLitNil); break;
default:
;
}
dst->tag = 0;
}
static void _fx_copy_N14K_form__klit_t(struct _fx_N14K_form__klit_t* src, struct _fx_N14K_form__klit_t* dst)
{
dst->tag = src->tag;
switch (src->tag) {
case 5:
fx_copy_str(&src->u.KLitString, &dst->u.KLitString); break;
case 8:
FX_COPY_PTR(src->u.KLitNil, &dst->u.KLitNil); break;
default:
dst->u = src->u;
}
}
static void _fx_free_LN14K_form__ktyp_t(struct _fx_LN14K_form__ktyp_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LN14K_form__ktyp_t, _fx_free_N14K_form__ktyp_t);
}
static int _fx_cons_LN14K_form__ktyp_t(
struct _fx_N14K_form__ktyp_t_data_t* hd,
struct _fx_LN14K_form__ktyp_t_data_t* tl,
bool addref_tl,
struct _fx_LN14K_form__ktyp_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LN14K_form__ktyp_t, FX_COPY_PTR);
}
static void _fx_free_T2LN14K_form__ktyp_tN14K_form__ktyp_t(struct _fx_T2LN14K_form__ktyp_tN14K_form__ktyp_t* dst)
{
_fx_free_LN14K_form__ktyp_t(&dst->t0);
_fx_free_N14K_form__ktyp_t(&dst->t1);
}
static void _fx_copy_T2LN14K_form__ktyp_tN14K_form__ktyp_t(
struct _fx_T2LN14K_form__ktyp_tN14K_form__ktyp_t* src,
struct _fx_T2LN14K_form__ktyp_tN14K_form__ktyp_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2LN14K_form__ktyp_tN14K_form__ktyp_t(
struct _fx_LN14K_form__ktyp_t_data_t* t0,
struct _fx_N14K_form__ktyp_t_data_t* t1,
struct _fx_T2LN14K_form__ktyp_tN14K_form__ktyp_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_T2R9Ast__id_tN14K_form__ktyp_t(struct _fx_T2R9Ast__id_tN14K_form__ktyp_t* dst)
{
_fx_free_N14K_form__ktyp_t(&dst->t1);
}
static void _fx_copy_T2R9Ast__id_tN14K_form__ktyp_t(
struct _fx_T2R9Ast__id_tN14K_form__ktyp_t* src,
struct _fx_T2R9Ast__id_tN14K_form__ktyp_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2R9Ast__id_tN14K_form__ktyp_t(
struct _fx_R9Ast__id_t* t0,
struct _fx_N14K_form__ktyp_t_data_t* t1,
struct _fx_T2R9Ast__id_tN14K_form__ktyp_t* fx_result)
{
fx_result->t0 = *t0;
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_LT2R9Ast__id_tN14K_form__ktyp_t(struct _fx_LT2R9Ast__id_tN14K_form__ktyp_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LT2R9Ast__id_tN14K_form__ktyp_t, _fx_free_T2R9Ast__id_tN14K_form__ktyp_t);
}
static int _fx_cons_LT2R9Ast__id_tN14K_form__ktyp_t(
struct _fx_T2R9Ast__id_tN14K_form__ktyp_t* hd,
struct _fx_LT2R9Ast__id_tN14K_form__ktyp_t_data_t* tl,
bool addref_tl,
struct _fx_LT2R9Ast__id_tN14K_form__ktyp_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LT2R9Ast__id_tN14K_form__ktyp_t, _fx_copy_T2R9Ast__id_tN14K_form__ktyp_t);
}
static void _fx_free_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t(struct _fx_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t* dst)
{
_fx_free_LT2R9Ast__id_tN14K_form__ktyp_t(&dst->t1);
}
static void _fx_copy_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t(
struct _fx_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t* src,
struct _fx_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t(
struct _fx_R9Ast__id_t* t0,
struct _fx_LT2R9Ast__id_tN14K_form__ktyp_t_data_t* t1,
struct _fx_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t* fx_result)
{
fx_result->t0 = *t0;
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_T2iN14K_form__ktyp_t(struct _fx_T2iN14K_form__ktyp_t* dst)
{
_fx_free_N14K_form__ktyp_t(&dst->t1);
}
static void _fx_copy_T2iN14K_form__ktyp_t(struct _fx_T2iN14K_form__ktyp_t* src, struct _fx_T2iN14K_form__ktyp_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2iN14K_form__ktyp_t(
int_ t0,
struct _fx_N14K_form__ktyp_t_data_t* t1,
struct _fx_T2iN14K_form__ktyp_t* fx_result)
{
fx_result->t0 = t0;
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_N14K_form__ktyp_t(struct _fx_N14K_form__ktyp_t_data_t** dst)
{
if (*dst && FX_DECREF((*dst)->rc) == 1) {
switch ((*dst)->tag) {
case 11:
_fx_free_N14K_form__ktyp_t(&(*dst)->u.KTypRawPointer); break;
case 12:
_fx_free_T2LN14K_form__ktyp_tN14K_form__ktyp_t(&(*dst)->u.KTypFun); break;
case 13:
_fx_free_LN14K_form__ktyp_t(&(*dst)->u.KTypTuple); break;
case 14:
_fx_free_T2R9Ast__id_tLT2R9Ast__id_tN14K_form__ktyp_t(&(*dst)->u.KTypRecord); break;
case 16:
_fx_free_T2iN14K_form__ktyp_t(&(*dst)->u.KTypArray); break;
case 17:
_fx_free_N14K_form__ktyp_t(&(*dst)->u.KTypVector); break;
case 18:
_fx_free_N14K_form__ktyp_t(&(*dst)->u.KTypList); break;
case 19:
_fx_free_N14K_form__ktyp_t(&(*dst)->u.KTypRef); break;
default:
;
}
fx_free(*dst);
}
*dst = 0;
}
static void _fx_free_T2R9Ast__id_tN14C_form__ctyp_t(struct _fx_T2R9Ast__id_tN14C_form__ctyp_t* dst)
{
_fx_free_N14C_form__ctyp_t(&dst->t1);
}
static void _fx_copy_T2R9Ast__id_tN14C_form__ctyp_t(
struct _fx_T2R9Ast__id_tN14C_form__ctyp_t* src,
struct _fx_T2R9Ast__id_tN14C_form__ctyp_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2R9Ast__id_tN14C_form__ctyp_t(
struct _fx_R9Ast__id_t* t0,
struct _fx_N14C_form__ctyp_t_data_t* t1,
struct _fx_T2R9Ast__id_tN14C_form__ctyp_t* fx_result)
{
fx_result->t0 = *t0;
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_LT2R9Ast__id_tN14C_form__ctyp_t(struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LT2R9Ast__id_tN14C_form__ctyp_t, _fx_free_T2R9Ast__id_tN14C_form__ctyp_t);
}
static int _fx_cons_LT2R9Ast__id_tN14C_form__ctyp_t(
struct _fx_T2R9Ast__id_tN14C_form__ctyp_t* hd,
struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t* tl,
bool addref_tl,
struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LT2R9Ast__id_tN14C_form__ctyp_t, _fx_copy_T2R9Ast__id_tN14C_form__ctyp_t);
}
static void _fx_free_R23C_form__cdefinterface_t(struct _fx_R23C_form__cdefinterface_t* dst)
{
fx_free_str(&dst->ci_cname);
_fx_free_LT2R9Ast__id_tN14C_form__ctyp_t(&dst->ci_all_methods);
fx_free_list_simple(&dst->ci_scope);
}
static void _fx_copy_R23C_form__cdefinterface_t(
struct _fx_R23C_form__cdefinterface_t* src,
struct _fx_R23C_form__cdefinterface_t* dst)
{
dst->ci_name = src->ci_name;
fx_copy_str(&src->ci_cname, &dst->ci_cname);
dst->ci_id = src->ci_id;
dst->ci_vtbl = src->ci_vtbl;
dst->ci_base = src->ci_base;
FX_COPY_PTR(src->ci_all_methods, &dst->ci_all_methods);
FX_COPY_PTR(src->ci_scope, &dst->ci_scope);
dst->ci_loc = src->ci_loc;
}
static void _fx_make_R23C_form__cdefinterface_t(
struct _fx_R9Ast__id_t* r_ci_name,
fx_str_t* r_ci_cname,
struct _fx_R9Ast__id_t* r_ci_id,
struct _fx_R9Ast__id_t* r_ci_vtbl,
struct _fx_R9Ast__id_t* r_ci_base,
struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t* r_ci_all_methods,
struct _fx_LN12Ast__scope_t_data_t* r_ci_scope,
struct _fx_R10Ast__loc_t* r_ci_loc,
struct _fx_R23C_form__cdefinterface_t* fx_result)
{
fx_result->ci_name = *r_ci_name;
fx_copy_str(r_ci_cname, &fx_result->ci_cname);
fx_result->ci_id = *r_ci_id;
fx_result->ci_vtbl = *r_ci_vtbl;
fx_result->ci_base = *r_ci_base;
FX_COPY_PTR(r_ci_all_methods, &fx_result->ci_all_methods);
FX_COPY_PTR(r_ci_scope, &fx_result->ci_scope);
fx_result->ci_loc = *r_ci_loc;
}
static void _fx_free_rR23C_form__cdefinterface_t(struct _fx_rR23C_form__cdefinterface_t_data_t** dst)
{
FX_FREE_REF_IMPL(_fx_rR23C_form__cdefinterface_t, _fx_free_R23C_form__cdefinterface_t);
}
static int _fx_make_rR23C_form__cdefinterface_t(
struct _fx_R23C_form__cdefinterface_t* arg,
struct _fx_rR23C_form__cdefinterface_t_data_t** fx_result)
{
FX_MAKE_REF_IMPL(_fx_rR23C_form__cdefinterface_t, _fx_copy_R23C_form__cdefinterface_t);
}
static void _fx_free_Nt6option1N14C_form__ctyp_t(struct _fx_Nt6option1N14C_form__ctyp_t* dst)
{
switch (dst->tag) {
case 2:
_fx_free_N14C_form__ctyp_t(&dst->u.Some); break;
default:
;
}
dst->tag = 0;
}
static void _fx_copy_Nt6option1N14C_form__ctyp_t(
struct _fx_Nt6option1N14C_form__ctyp_t* src,
struct _fx_Nt6option1N14C_form__ctyp_t* dst)
{
dst->tag = src->tag;
switch (src->tag) {
case 2:
FX_COPY_PTR(src->u.Some, &dst->u.Some); break;
default:
dst->u = src->u;
}
}
static void _fx_free_Nt6option1N14C_form__cexp_t(struct _fx_Nt6option1N14C_form__cexp_t* dst)
{
switch (dst->tag) {
case 2:
_fx_free_N14C_form__cexp_t(&dst->u.Some); break;
default:
;
}
dst->tag = 0;
}
static void _fx_copy_Nt6option1N14C_form__cexp_t(
struct _fx_Nt6option1N14C_form__cexp_t* src,
struct _fx_Nt6option1N14C_form__cexp_t* dst)
{
dst->tag = src->tag;
switch (src->tag) {
case 2:
FX_COPY_PTR(src->u.Some, &dst->u.Some); break;
default:
dst->u = src->u;
}
}
static void _fx_free_R16Ast__val_flags_t(struct _fx_R16Ast__val_flags_t* dst)
{
fx_free_list_simple(&dst->val_flag_global);
}
static void _fx_copy_R16Ast__val_flags_t(struct _fx_R16Ast__val_flags_t* src, struct _fx_R16Ast__val_flags_t* dst)
{
dst->val_flag_arg = src->val_flag_arg;
dst->val_flag_mutable = src->val_flag_mutable;
dst->val_flag_temp = src->val_flag_temp;
dst->val_flag_tempref = src->val_flag_tempref;
dst->val_flag_private = src->val_flag_private;
dst->val_flag_subarray = src->val_flag_subarray;
dst->val_flag_instance = src->val_flag_instance;
dst->val_flag_method = src->val_flag_method;
dst->val_flag_ctor = src->val_flag_ctor;
FX_COPY_PTR(src->val_flag_global, &dst->val_flag_global);
}
static void _fx_make_R16Ast__val_flags_t(
bool r_val_flag_arg,
bool r_val_flag_mutable,
bool r_val_flag_temp,
bool r_val_flag_tempref,
bool r_val_flag_private,
bool r_val_flag_subarray,
bool r_val_flag_instance,
struct _fx_T2R9Ast__id_ti* r_val_flag_method,
int_ r_val_flag_ctor,
struct _fx_LN12Ast__scope_t_data_t* r_val_flag_global,
struct _fx_R16Ast__val_flags_t* fx_result)
{
fx_result->val_flag_arg = r_val_flag_arg;
fx_result->val_flag_mutable = r_val_flag_mutable;
fx_result->val_flag_temp = r_val_flag_temp;
fx_result->val_flag_tempref = r_val_flag_tempref;
fx_result->val_flag_private = r_val_flag_private;
fx_result->val_flag_subarray = r_val_flag_subarray;
fx_result->val_flag_instance = r_val_flag_instance;
fx_result->val_flag_method = *r_val_flag_method;
fx_result->val_flag_ctor = r_val_flag_ctor;
FX_COPY_PTR(r_val_flag_global, &fx_result->val_flag_global);
}
static void _fx_free_T2SR10Ast__loc_t(struct _fx_T2SR10Ast__loc_t* dst)
{
fx_free_str(&dst->t0);
}
static void _fx_copy_T2SR10Ast__loc_t(struct _fx_T2SR10Ast__loc_t* src, struct _fx_T2SR10Ast__loc_t* dst)
{
fx_copy_str(&src->t0, &dst->t0);
dst->t1 = src->t1;
}
static void _fx_make_T2SR10Ast__loc_t(fx_str_t* t0, struct _fx_R10Ast__loc_t* t1, struct _fx_T2SR10Ast__loc_t* fx_result)
{
fx_copy_str(t0, &fx_result->t0);
fx_result->t1 = *t1;
}
static void _fx_free_R17C_form__ctprops_t(struct _fx_R17C_form__ctprops_t* dst)
{
fx_free_list_simple(&dst->ctp_make);
}
static void _fx_copy_R17C_form__ctprops_t(struct _fx_R17C_form__ctprops_t* src, struct _fx_R17C_form__ctprops_t* dst)
{
dst->ctp_scalar = src->ctp_scalar;
dst->ctp_complex = src->ctp_complex;
dst->ctp_ptr = src->ctp_ptr;
dst->ctp_pass_by_ref = src->ctp_pass_by_ref;
FX_COPY_PTR(src->ctp_make, &dst->ctp_make);
dst->ctp_free = src->ctp_free;
dst->ctp_copy = src->ctp_copy;
}
static void _fx_make_R17C_form__ctprops_t(
bool r_ctp_scalar,
bool r_ctp_complex,
bool r_ctp_ptr,
bool r_ctp_pass_by_ref,
struct _fx_LR9Ast__id_t_data_t* r_ctp_make,
struct _fx_Ta2R9Ast__id_t* r_ctp_free,
struct _fx_Ta2R9Ast__id_t* r_ctp_copy,
struct _fx_R17C_form__ctprops_t* fx_result)
{
fx_result->ctp_scalar = r_ctp_scalar;
fx_result->ctp_complex = r_ctp_complex;
fx_result->ctp_ptr = r_ctp_ptr;
fx_result->ctp_pass_by_ref = r_ctp_pass_by_ref;
FX_COPY_PTR(r_ctp_make, &fx_result->ctp_make);
fx_result->ctp_free = *r_ctp_free;
fx_result->ctp_copy = *r_ctp_copy;
}
static void _fx_free_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t(
struct _fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t* dst)
{
_fx_free_LT2R9Ast__id_tN14C_form__ctyp_t(&dst->t1);
}
static void _fx_copy_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t(
struct _fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t* src,
struct _fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t(
struct _fx_Nt6option1R9Ast__id_t* t0,
struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t* t1,
struct _fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t* fx_result)
{
fx_result->t0 = *t0;
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_LN14C_form__ctyp_t(struct _fx_LN14C_form__ctyp_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LN14C_form__ctyp_t, _fx_free_N14C_form__ctyp_t);
}
static int _fx_cons_LN14C_form__ctyp_t(
struct _fx_N14C_form__ctyp_t_data_t* hd,
struct _fx_LN14C_form__ctyp_t_data_t* tl,
bool addref_tl,
struct _fx_LN14C_form__ctyp_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LN14C_form__ctyp_t, FX_COPY_PTR);
}
static void _fx_free_T2LN14C_form__ctyp_tN14C_form__ctyp_t(struct _fx_T2LN14C_form__ctyp_tN14C_form__ctyp_t* dst)
{
_fx_free_LN14C_form__ctyp_t(&dst->t0);
_fx_free_N14C_form__ctyp_t(&dst->t1);
}
static void _fx_copy_T2LN14C_form__ctyp_tN14C_form__ctyp_t(
struct _fx_T2LN14C_form__ctyp_tN14C_form__ctyp_t* src,
struct _fx_T2LN14C_form__ctyp_tN14C_form__ctyp_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2LN14C_form__ctyp_tN14C_form__ctyp_t(
struct _fx_LN14C_form__ctyp_t_data_t* t0,
struct _fx_N14C_form__ctyp_t_data_t* t1,
struct _fx_T2LN14C_form__ctyp_tN14C_form__ctyp_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
}
static int _fx_cons_LN19C_form__ctyp_attr_t(
struct _fx_N19C_form__ctyp_attr_t* hd,
struct _fx_LN19C_form__ctyp_attr_t_data_t* tl,
bool addref_tl,
struct _fx_LN19C_form__ctyp_attr_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LN19C_form__ctyp_attr_t, FX_COPY_SIMPLE_BY_PTR);
}
static void _fx_free_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t(struct _fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t* dst)
{
fx_free_list_simple(&dst->t0);
_fx_free_N14C_form__ctyp_t(&dst->t1);
}
static void _fx_copy_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t(
struct _fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t* src,
struct _fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t(
struct _fx_LN19C_form__ctyp_attr_t_data_t* t0,
struct _fx_N14C_form__ctyp_t_data_t* t1,
struct _fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_T2iN14C_form__ctyp_t(struct _fx_T2iN14C_form__ctyp_t* dst)
{
_fx_free_N14C_form__ctyp_t(&dst->t1);
}
static void _fx_copy_T2iN14C_form__ctyp_t(struct _fx_T2iN14C_form__ctyp_t* src, struct _fx_T2iN14C_form__ctyp_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2iN14C_form__ctyp_t(
int_ t0,
struct _fx_N14C_form__ctyp_t_data_t* t1,
struct _fx_T2iN14C_form__ctyp_t* fx_result)
{
fx_result->t0 = t0;
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_N14C_form__ctyp_t(struct _fx_N14C_form__ctyp_t_data_t** dst)
{
if (*dst && FX_DECREF((*dst)->rc) == 1) {
switch ((*dst)->tag) {
case 13:
_fx_free_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t(&(*dst)->u.CTypStruct); break;
case 14:
_fx_free_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t(&(*dst)->u.CTypUnion); break;
case 15:
_fx_free_T2LN14C_form__ctyp_tN14C_form__ctyp_t(&(*dst)->u.CTypFunRawPtr); break;
case 16:
_fx_free_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t(&(*dst)->u.CTypRawPtr); break;
case 17:
_fx_free_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t(&(*dst)->u.CTypRawArray); break;
case 18:
_fx_free_T2iN14C_form__ctyp_t(&(*dst)->u.CTypArray); break;
case 19:
_fx_free_N14C_form__ctyp_t(&(*dst)->u.CTypVector); break;
default:
;
}
fx_free(*dst);
}
*dst = 0;
}
static void _fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__ctyp_t(&dst->t0);
}
static void _fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
dst->t1 = src->t1;
}
static void _fx_make_T2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_N14C_form__ctyp_t_data_t* t0,
struct _fx_R10Ast__loc_t* t1,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
fx_result->t1 = *t1;
}
static void _fx_free_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(&dst->t1);
}
static void _fx_copy_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
dst->t0 = src->t0;
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(&src->t1, &dst->t1);
}
static void _fx_make_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_R9Ast__id_t* t0,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* t1,
struct _fx_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
fx_result->t0 = *t0;
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(t1, &fx_result->t1);
}
static void _fx_free_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_N14K_form__klit_t(&dst->t0);
_fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(&dst->t1);
}
static void _fx_copy_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_copy_N14K_form__klit_t(&src->t0, &dst->t0);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(&src->t1, &dst->t1);
}
static void _fx_make_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_N14K_form__klit_t* t0,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* t1,
struct _fx_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
_fx_copy_N14K_form__klit_t(t0, &fx_result->t0);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(t1, &fx_result->t1);
}
static void _fx_free_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t1);
_fx_free_N14C_form__cexp_t(&dst->t2);
_fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(&dst->t3);
}
static void _fx_copy_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
FX_COPY_PTR(src->t2, &dst->t2);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(&src->t3, &dst->t3);
}
static void _fx_make_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_N17C_form__cbinary_t* t0,
struct _fx_N14C_form__cexp_t_data_t* t1,
struct _fx_N14C_form__cexp_t_data_t* t2,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* t3,
struct _fx_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
fx_result->t0 = *t0;
FX_COPY_PTR(t1, &fx_result->t1);
FX_COPY_PTR(t2, &fx_result->t2);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(t3, &fx_result->t3);
}
static void _fx_free_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t1);
_fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(&dst->t2);
}
static void _fx_copy_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(&src->t2, &dst->t2);
}
static void _fx_make_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_N16C_form__cunary_t* t0,
struct _fx_N14C_form__cexp_t_data_t* t1,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* t2,
struct _fx_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
fx_result->t0 = *t0;
FX_COPY_PTR(t1, &fx_result->t1);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(t2, &fx_result->t2);
}
static void _fx_free_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t0);
_fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(&dst->t2);
}
static void _fx_copy_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
dst->t1 = src->t1;
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(&src->t2, &dst->t2);
}
static void _fx_make_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_N14C_form__cexp_t_data_t* t0,
struct _fx_R9Ast__id_t* t1,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* t2,
struct _fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
fx_result->t1 = *t1;
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(t2, &fx_result->t2);
}
static void _fx_free_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t0);
_fx_free_N14C_form__ctyp_t(&dst->t1);
}
static void _fx_copy_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
dst->t2 = src->t2;
}
static void _fx_make_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t(
struct _fx_N14C_form__cexp_t_data_t* t0,
struct _fx_N14C_form__ctyp_t_data_t* t1,
struct _fx_R10Ast__loc_t* t2,
struct _fx_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
fx_result->t2 = *t2;
}
static void _fx_free_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t0);
_fx_free_N14C_form__cexp_t(&dst->t1);
_fx_free_N14C_form__cexp_t(&dst->t2);
_fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(&dst->t3);
}
static void _fx_copy_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
FX_COPY_PTR(src->t2, &dst->t2);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(&src->t3, &dst->t3);
}
static void _fx_make_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_N14C_form__cexp_t_data_t* t0,
struct _fx_N14C_form__cexp_t_data_t* t1,
struct _fx_N14C_form__cexp_t_data_t* t2,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* t3,
struct _fx_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
FX_COPY_PTR(t2, &fx_result->t2);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(t3, &fx_result->t3);
}
static void _fx_free_LN14C_form__cexp_t(struct _fx_LN14C_form__cexp_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LN14C_form__cexp_t, _fx_free_N14C_form__cexp_t);
}
static int _fx_cons_LN14C_form__cexp_t(
struct _fx_N14C_form__cexp_t_data_t* hd,
struct _fx_LN14C_form__cexp_t_data_t* tl,
bool addref_tl,
struct _fx_LN14C_form__cexp_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LN14C_form__cexp_t, FX_COPY_PTR);
}
static void _fx_free_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t0);
_fx_free_LN14C_form__cexp_t(&dst->t1);
_fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(&dst->t2);
}
static void _fx_copy_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(&src->t2, &dst->t2);
}
static void _fx_make_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_N14C_form__cexp_t_data_t* t0,
struct _fx_LN14C_form__cexp_t_data_t* t1,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* t2,
struct _fx_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(t2, &fx_result->t2);
}
static void _fx_free_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
_fx_free_LN14C_form__cexp_t(&dst->t0);
_fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(&dst->t1);
}
static void _fx_copy_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* src,
struct _fx_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(&src->t1, &dst->t1);
}
static void _fx_make_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_LN14C_form__cexp_t_data_t* t0,
struct _fx_T2N14C_form__ctyp_tR10Ast__loc_t* t1,
struct _fx_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
_fx_copy_T2N14C_form__ctyp_tR10Ast__loc_t(t1, &fx_result->t1);
}
static void _fx_free_N14C_form__cexp_t(struct _fx_N14C_form__cexp_t_data_t** dst)
{
if (*dst && FX_DECREF((*dst)->rc) == 1) {
switch ((*dst)->tag) {
case 1:
_fx_free_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpIdent); break;
case 2:
_fx_free_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpLit); break;
case 3:
_fx_free_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(
&(*dst)->u.CExpBinary);
break;
case 4:
_fx_free_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpUnary); break;
case 5:
_fx_free_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpMem); break;
case 6:
_fx_free_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpArrow); break;
case 7:
_fx_free_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpCast); break;
case 8:
_fx_free_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpTernary);
break;
case 9:
_fx_free_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpCall); break;
case 10:
_fx_free_T2LN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpInit); break;
case 11:
_fx_free_T2N14C_form__ctyp_tR10Ast__loc_t(&(*dst)->u.CExpTyp); break;
case 12:
_fx_free_T2SR10Ast__loc_t(&(*dst)->u.CExpCCode); break;
default:
;
}
fx_free(*dst);
}
*dst = 0;
}
static void _fx_free_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t(struct _fx_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t* dst)
{
_fx_free_Nt6option1N14C_form__cexp_t(&dst->t0);
}
static void _fx_copy_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t(
struct _fx_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t* src,
struct _fx_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t* dst)
{
_fx_copy_Nt6option1N14C_form__cexp_t(&src->t0, &dst->t0);
dst->t1 = src->t1;
}
static void _fx_make_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t(
struct _fx_Nt6option1N14C_form__cexp_t* t0,
struct _fx_R10Ast__loc_t* t1,
struct _fx_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t* fx_result)
{
_fx_copy_Nt6option1N14C_form__cexp_t(t0, &fx_result->t0);
fx_result->t1 = *t1;
}
static void _fx_free_LN15C_form__cstmt_t(struct _fx_LN15C_form__cstmt_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LN15C_form__cstmt_t, _fx_free_N15C_form__cstmt_t);
}
static int _fx_cons_LN15C_form__cstmt_t(
struct _fx_N15C_form__cstmt_t_data_t* hd,
struct _fx_LN15C_form__cstmt_t_data_t* tl,
bool addref_tl,
struct _fx_LN15C_form__cstmt_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LN15C_form__cstmt_t, FX_COPY_PTR);
}
static void _fx_free_T2LN15C_form__cstmt_tR10Ast__loc_t(struct _fx_T2LN15C_form__cstmt_tR10Ast__loc_t* dst)
{
_fx_free_LN15C_form__cstmt_t(&dst->t0);
}
static void _fx_copy_T2LN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T2LN15C_form__cstmt_tR10Ast__loc_t* src,
struct _fx_T2LN15C_form__cstmt_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
dst->t1 = src->t1;
}
static void _fx_make_T2LN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_LN15C_form__cstmt_t_data_t* t0,
struct _fx_R10Ast__loc_t* t1,
struct _fx_T2LN15C_form__cstmt_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
fx_result->t1 = *t1;
}
static void _fx_free_T2R9Ast__id_tN15C_form__cstmt_t(struct _fx_T2R9Ast__id_tN15C_form__cstmt_t* dst)
{
_fx_free_N15C_form__cstmt_t(&dst->t1);
}
static void _fx_copy_T2R9Ast__id_tN15C_form__cstmt_t(
struct _fx_T2R9Ast__id_tN15C_form__cstmt_t* src,
struct _fx_T2R9Ast__id_tN15C_form__cstmt_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2R9Ast__id_tN15C_form__cstmt_t(
struct _fx_R9Ast__id_t* t0,
struct _fx_N15C_form__cstmt_t_data_t* t1,
struct _fx_T2R9Ast__id_tN15C_form__cstmt_t* fx_result)
{
fx_result->t0 = *t0;
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t0);
_fx_free_N15C_form__cstmt_t(&dst->t1);
_fx_free_N15C_form__cstmt_t(&dst->t2);
}
static void _fx_copy_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t* src,
struct _fx_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
FX_COPY_PTR(src->t2, &dst->t2);
dst->t3 = src->t3;
}
static void _fx_make_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_N14C_form__cexp_t_data_t* t0,
struct _fx_N15C_form__cstmt_t_data_t* t1,
struct _fx_N15C_form__cstmt_t_data_t* t2,
struct _fx_R10Ast__loc_t* t3,
struct _fx_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
FX_COPY_PTR(t2, &fx_result->t2);
fx_result->t3 = *t3;
}
static void
_fx_free_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t*
dst)
{
_fx_free_Nt6option1N14C_form__ctyp_t(&dst->t0);
_fx_free_LN14C_form__cexp_t(&dst->t1);
_fx_free_Nt6option1N14C_form__cexp_t(&dst->t2);
_fx_free_LN14C_form__cexp_t(&dst->t3);
_fx_free_N15C_form__cstmt_t(&dst->t4);
}
static void
_fx_copy_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t*
src,
struct _fx_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t*
dst)
{
_fx_copy_Nt6option1N14C_form__ctyp_t(&src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
_fx_copy_Nt6option1N14C_form__cexp_t(&src->t2, &dst->t2);
FX_COPY_PTR(src->t3, &dst->t3);
FX_COPY_PTR(src->t4, &dst->t4);
dst->t5 = src->t5;
}
static void
_fx_make_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_Nt6option1N14C_form__ctyp_t* t0,
struct _fx_LN14C_form__cexp_t_data_t* t1,
struct _fx_Nt6option1N14C_form__cexp_t* t2,
struct _fx_LN14C_form__cexp_t_data_t* t3,
struct _fx_N15C_form__cstmt_t_data_t* t4,
struct _fx_R10Ast__loc_t* t5,
struct _fx_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t*
fx_result)
{
_fx_copy_Nt6option1N14C_form__ctyp_t(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
_fx_copy_Nt6option1N14C_form__cexp_t(t2, &fx_result->t2);
FX_COPY_PTR(t3, &fx_result->t3);
FX_COPY_PTR(t4, &fx_result->t4);
fx_result->t5 = *t5;
}
static void _fx_free_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t0);
_fx_free_N15C_form__cstmt_t(&dst->t1);
}
static void _fx_copy_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t* src,
struct _fx_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
dst->t2 = src->t2;
}
static void _fx_make_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_N14C_form__cexp_t_data_t* t0,
struct _fx_N15C_form__cstmt_t_data_t* t1,
struct _fx_R10Ast__loc_t* t2,
struct _fx_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
fx_result->t2 = *t2;
}
static void _fx_free_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t(
struct _fx_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t* dst)
{
_fx_free_N15C_form__cstmt_t(&dst->t0);
_fx_free_N14C_form__cexp_t(&dst->t1);
}
static void _fx_copy_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t(
struct _fx_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t* src,
struct _fx_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
dst->t2 = src->t2;
}
static void _fx_make_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t(
struct _fx_N15C_form__cstmt_t_data_t* t0,
struct _fx_N14C_form__cexp_t_data_t* t1,
struct _fx_R10Ast__loc_t* t2,
struct _fx_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
fx_result->t2 = *t2;
}
static void _fx_free_T2LN14C_form__cexp_tLN15C_form__cstmt_t(struct _fx_T2LN14C_form__cexp_tLN15C_form__cstmt_t* dst)
{
_fx_free_LN14C_form__cexp_t(&dst->t0);
_fx_free_LN15C_form__cstmt_t(&dst->t1);
}
static void _fx_copy_T2LN14C_form__cexp_tLN15C_form__cstmt_t(
struct _fx_T2LN14C_form__cexp_tLN15C_form__cstmt_t* src,
struct _fx_T2LN14C_form__cexp_tLN15C_form__cstmt_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2LN14C_form__cexp_tLN15C_form__cstmt_t(
struct _fx_LN14C_form__cexp_t_data_t* t0,
struct _fx_LN15C_form__cstmt_t_data_t* t1,
struct _fx_T2LN14C_form__cexp_tLN15C_form__cstmt_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_LT2LN14C_form__cexp_tLN15C_form__cstmt_t(struct _fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t, _fx_free_T2LN14C_form__cexp_tLN15C_form__cstmt_t);
}
static int _fx_cons_LT2LN14C_form__cexp_tLN15C_form__cstmt_t(
struct _fx_T2LN14C_form__cexp_tLN15C_form__cstmt_t* hd,
struct _fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t_data_t* tl,
bool addref_tl,
struct _fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t, _fx_copy_T2LN14C_form__cexp_tLN15C_form__cstmt_t);
}
static void _fx_free_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t0);
_fx_free_LT2LN14C_form__cexp_tLN15C_form__cstmt_t(&dst->t1);
}
static void _fx_copy_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t* src,
struct _fx_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
dst->t2 = src->t2;
}
static void _fx_make_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_N14C_form__cexp_t_data_t* t0,
struct _fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t_data_t* t1,
struct _fx_R10Ast__loc_t* t2,
struct _fx_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
fx_result->t2 = *t2;
}
static void _fx_free_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t(
struct _fx_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t* dst)
{
_fx_free_N14C_form__ctyp_t(&dst->t0);
_fx_free_Nt6option1N14C_form__cexp_t(&dst->t2);
}
static void _fx_copy_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t(
struct _fx_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t* src,
struct _fx_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
dst->t1 = src->t1;
_fx_copy_Nt6option1N14C_form__cexp_t(&src->t2, &dst->t2);
dst->t3 = src->t3;
}
static void _fx_make_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t(
struct _fx_N14C_form__ctyp_t_data_t* t0,
struct _fx_R9Ast__id_t* t1,
struct _fx_Nt6option1N14C_form__cexp_t* t2,
struct _fx_R10Ast__loc_t* t3,
struct _fx_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
fx_result->t1 = *t1;
_fx_copy_Nt6option1N14C_form__cexp_t(t2, &fx_result->t2);
fx_result->t3 = *t3;
}
static int _fx_cons_LN19C_form__carg_attr_t(
struct _fx_N19C_form__carg_attr_t* hd,
struct _fx_LN19C_form__carg_attr_t_data_t* tl,
bool addref_tl,
struct _fx_LN19C_form__carg_attr_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LN19C_form__carg_attr_t, FX_COPY_SIMPLE_BY_PTR);
}
static void _fx_free_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t(
struct _fx_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t* dst)
{
_fx_free_N14C_form__ctyp_t(&dst->t1);
fx_free_list_simple(&dst->t2);
}
static void _fx_copy_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t(
struct _fx_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t* src,
struct _fx_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t* dst)
{
dst->t0 = src->t0;
FX_COPY_PTR(src->t1, &dst->t1);
FX_COPY_PTR(src->t2, &dst->t2);
}
static void _fx_make_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t(
struct _fx_R9Ast__id_t* t0,
struct _fx_N14C_form__ctyp_t_data_t* t1,
struct _fx_LN19C_form__carg_attr_t_data_t* t2,
struct _fx_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t* fx_result)
{
fx_result->t0 = *t0;
FX_COPY_PTR(t1, &fx_result->t1);
FX_COPY_PTR(t2, &fx_result->t2);
}
static void _fx_free_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t(
struct _fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t,
_fx_free_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t);
}
static int _fx_cons_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t(
struct _fx_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t* hd,
struct _fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t_data_t* tl,
bool addref_tl,
struct _fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t,
_fx_copy_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t);
}
static void _fx_free_R17C_form__cdeffun_t(struct _fx_R17C_form__cdeffun_t* dst)
{
fx_free_str(&dst->cf_cname);
_fx_free_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t(&dst->cf_args);
_fx_free_N14C_form__ctyp_t(&dst->cf_rt);
_fx_free_LN15C_form__cstmt_t(&dst->cf_body);
fx_free_list_simple(&dst->cf_scope);
}
static void _fx_copy_R17C_form__cdeffun_t(struct _fx_R17C_form__cdeffun_t* src, struct _fx_R17C_form__cdeffun_t* dst)
{
dst->cf_name = src->cf_name;
fx_copy_str(&src->cf_cname, &dst->cf_cname);
FX_COPY_PTR(src->cf_args, &dst->cf_args);
FX_COPY_PTR(src->cf_rt, &dst->cf_rt);
FX_COPY_PTR(src->cf_body, &dst->cf_body);
dst->cf_flags = src->cf_flags;
FX_COPY_PTR(src->cf_scope, &dst->cf_scope);
dst->cf_loc = src->cf_loc;
}
static void _fx_make_R17C_form__cdeffun_t(
struct _fx_R9Ast__id_t* r_cf_name,
fx_str_t* r_cf_cname,
struct _fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t_data_t* r_cf_args,
struct _fx_N14C_form__ctyp_t_data_t* r_cf_rt,
struct _fx_LN15C_form__cstmt_t_data_t* r_cf_body,
struct _fx_R16Ast__fun_flags_t* r_cf_flags,
struct _fx_LN12Ast__scope_t_data_t* r_cf_scope,
struct _fx_R10Ast__loc_t* r_cf_loc,
struct _fx_R17C_form__cdeffun_t* fx_result)
{
fx_result->cf_name = *r_cf_name;
fx_copy_str(r_cf_cname, &fx_result->cf_cname);
FX_COPY_PTR(r_cf_args, &fx_result->cf_args);
FX_COPY_PTR(r_cf_rt, &fx_result->cf_rt);
FX_COPY_PTR(r_cf_body, &fx_result->cf_body);
fx_result->cf_flags = *r_cf_flags;
FX_COPY_PTR(r_cf_scope, &fx_result->cf_scope);
fx_result->cf_loc = *r_cf_loc;
}
static void _fx_free_rR17C_form__cdeffun_t(struct _fx_rR17C_form__cdeffun_t_data_t** dst)
{
FX_FREE_REF_IMPL(_fx_rR17C_form__cdeffun_t, _fx_free_R17C_form__cdeffun_t);
}
static int _fx_make_rR17C_form__cdeffun_t(
struct _fx_R17C_form__cdeffun_t* arg,
struct _fx_rR17C_form__cdeffun_t_data_t** fx_result)
{
FX_MAKE_REF_IMPL(_fx_rR17C_form__cdeffun_t, _fx_copy_R17C_form__cdeffun_t);
}
static void _fx_free_R17C_form__cdeftyp_t(struct _fx_R17C_form__cdeftyp_t* dst)
{
_fx_free_N14C_form__ctyp_t(&dst->ct_typ);
fx_free_str(&dst->ct_cname);
_fx_free_R17C_form__ctprops_t(&dst->ct_props);
fx_free_list_simple(&dst->ct_ifaces);
fx_free_list_simple(&dst->ct_scope);
}
static void _fx_copy_R17C_form__cdeftyp_t(struct _fx_R17C_form__cdeftyp_t* src, struct _fx_R17C_form__cdeftyp_t* dst)
{
dst->ct_name = src->ct_name;
FX_COPY_PTR(src->ct_typ, &dst->ct_typ);
fx_copy_str(&src->ct_cname, &dst->ct_cname);
_fx_copy_R17C_form__ctprops_t(&src->ct_props, &dst->ct_props);
dst->ct_data_start = src->ct_data_start;
dst->ct_enum = src->ct_enum;
FX_COPY_PTR(src->ct_ifaces, &dst->ct_ifaces);
dst->ct_ifaces_id = src->ct_ifaces_id;
FX_COPY_PTR(src->ct_scope, &dst->ct_scope);
dst->ct_loc = src->ct_loc;
}
static void _fx_make_R17C_form__cdeftyp_t(
struct _fx_R9Ast__id_t* r_ct_name,
struct _fx_N14C_form__ctyp_t_data_t* r_ct_typ,
fx_str_t* r_ct_cname,
struct _fx_R17C_form__ctprops_t* r_ct_props,
int_ r_ct_data_start,
struct _fx_R9Ast__id_t* r_ct_enum,
struct _fx_LR9Ast__id_t_data_t* r_ct_ifaces,
struct _fx_R9Ast__id_t* r_ct_ifaces_id,
struct _fx_LN12Ast__scope_t_data_t* r_ct_scope,
struct _fx_R10Ast__loc_t* r_ct_loc,
struct _fx_R17C_form__cdeftyp_t* fx_result)
{
fx_result->ct_name = *r_ct_name;
FX_COPY_PTR(r_ct_typ, &fx_result->ct_typ);
fx_copy_str(r_ct_cname, &fx_result->ct_cname);
_fx_copy_R17C_form__ctprops_t(r_ct_props, &fx_result->ct_props);
fx_result->ct_data_start = r_ct_data_start;
fx_result->ct_enum = *r_ct_enum;
FX_COPY_PTR(r_ct_ifaces, &fx_result->ct_ifaces);
fx_result->ct_ifaces_id = *r_ct_ifaces_id;
FX_COPY_PTR(r_ct_scope, &fx_result->ct_scope);
fx_result->ct_loc = *r_ct_loc;
}
static void _fx_free_rR17C_form__cdeftyp_t(struct _fx_rR17C_form__cdeftyp_t_data_t** dst)
{
FX_FREE_REF_IMPL(_fx_rR17C_form__cdeftyp_t, _fx_free_R17C_form__cdeftyp_t);
}
static int _fx_make_rR17C_form__cdeftyp_t(
struct _fx_R17C_form__cdeftyp_t* arg,
struct _fx_rR17C_form__cdeftyp_t_data_t** fx_result)
{
FX_MAKE_REF_IMPL(_fx_rR17C_form__cdeftyp_t, _fx_copy_R17C_form__cdeftyp_t);
}
static void _fx_free_T2R9Ast__id_tNt6option1N14C_form__cexp_t(struct _fx_T2R9Ast__id_tNt6option1N14C_form__cexp_t* dst)
{
_fx_free_Nt6option1N14C_form__cexp_t(&dst->t1);
}
static void _fx_copy_T2R9Ast__id_tNt6option1N14C_form__cexp_t(
struct _fx_T2R9Ast__id_tNt6option1N14C_form__cexp_t* src,
struct _fx_T2R9Ast__id_tNt6option1N14C_form__cexp_t* dst)
{
dst->t0 = src->t0;
_fx_copy_Nt6option1N14C_form__cexp_t(&src->t1, &dst->t1);
}
static void _fx_make_T2R9Ast__id_tNt6option1N14C_form__cexp_t(
struct _fx_R9Ast__id_t* t0,
struct _fx_Nt6option1N14C_form__cexp_t* t1,
struct _fx_T2R9Ast__id_tNt6option1N14C_form__cexp_t* fx_result)
{
fx_result->t0 = *t0;
_fx_copy_Nt6option1N14C_form__cexp_t(t1, &fx_result->t1);
}
static void _fx_free_LT2R9Ast__id_tNt6option1N14C_form__cexp_t(
struct _fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t, _fx_free_T2R9Ast__id_tNt6option1N14C_form__cexp_t);
}
static int _fx_cons_LT2R9Ast__id_tNt6option1N14C_form__cexp_t(
struct _fx_T2R9Ast__id_tNt6option1N14C_form__cexp_t* hd,
struct _fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t_data_t* tl,
bool addref_tl,
struct _fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t, _fx_copy_T2R9Ast__id_tNt6option1N14C_form__cexp_t);
}
static void _fx_free_R18C_form__cdefenum_t(struct _fx_R18C_form__cdefenum_t* dst)
{
_fx_free_LT2R9Ast__id_tNt6option1N14C_form__cexp_t(&dst->cenum_members);
fx_free_str(&dst->cenum_cname);
fx_free_list_simple(&dst->cenum_scope);
}
static void _fx_copy_R18C_form__cdefenum_t(struct _fx_R18C_form__cdefenum_t* src, struct _fx_R18C_form__cdefenum_t* dst)
{
dst->cenum_name = src->cenum_name;
FX_COPY_PTR(src->cenum_members, &dst->cenum_members);
fx_copy_str(&src->cenum_cname, &dst->cenum_cname);
FX_COPY_PTR(src->cenum_scope, &dst->cenum_scope);
dst->cenum_loc = src->cenum_loc;
}
static void _fx_make_R18C_form__cdefenum_t(
struct _fx_R9Ast__id_t* r_cenum_name,
struct _fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t_data_t* r_cenum_members,
fx_str_t* r_cenum_cname,
struct _fx_LN12Ast__scope_t_data_t* r_cenum_scope,
struct _fx_R10Ast__loc_t* r_cenum_loc,
struct _fx_R18C_form__cdefenum_t* fx_result)
{
fx_result->cenum_name = *r_cenum_name;
FX_COPY_PTR(r_cenum_members, &fx_result->cenum_members);
fx_copy_str(r_cenum_cname, &fx_result->cenum_cname);
FX_COPY_PTR(r_cenum_scope, &fx_result->cenum_scope);
fx_result->cenum_loc = *r_cenum_loc;
}
static void _fx_free_rR18C_form__cdefenum_t(struct _fx_rR18C_form__cdefenum_t_data_t** dst)
{
FX_FREE_REF_IMPL(_fx_rR18C_form__cdefenum_t, _fx_free_R18C_form__cdefenum_t);
}
static int _fx_make_rR18C_form__cdefenum_t(
struct _fx_R18C_form__cdefenum_t* arg,
struct _fx_rR18C_form__cdefenum_t_data_t** fx_result)
{
FX_MAKE_REF_IMPL(_fx_rR18C_form__cdefenum_t, _fx_copy_R18C_form__cdefenum_t);
}
static void _fx_free_R19C_form__cdefmacro_t(struct _fx_R19C_form__cdefmacro_t* dst)
{
fx_free_str(&dst->cm_cname);
fx_free_list_simple(&dst->cm_args);
_fx_free_LN15C_form__cstmt_t(&dst->cm_body);
fx_free_list_simple(&dst->cm_scope);
}
static void _fx_copy_R19C_form__cdefmacro_t(struct _fx_R19C_form__cdefmacro_t* src, struct _fx_R19C_form__cdefmacro_t* dst)
{
dst->cm_name = src->cm_name;
fx_copy_str(&src->cm_cname, &dst->cm_cname);
FX_COPY_PTR(src->cm_args, &dst->cm_args);
FX_COPY_PTR(src->cm_body, &dst->cm_body);
FX_COPY_PTR(src->cm_scope, &dst->cm_scope);
dst->cm_loc = src->cm_loc;
}
static void _fx_make_R19C_form__cdefmacro_t(
struct _fx_R9Ast__id_t* r_cm_name,
fx_str_t* r_cm_cname,
struct _fx_LR9Ast__id_t_data_t* r_cm_args,
struct _fx_LN15C_form__cstmt_t_data_t* r_cm_body,
struct _fx_LN12Ast__scope_t_data_t* r_cm_scope,
struct _fx_R10Ast__loc_t* r_cm_loc,
struct _fx_R19C_form__cdefmacro_t* fx_result)
{
fx_result->cm_name = *r_cm_name;
fx_copy_str(r_cm_cname, &fx_result->cm_cname);
FX_COPY_PTR(r_cm_args, &fx_result->cm_args);
FX_COPY_PTR(r_cm_body, &fx_result->cm_body);
FX_COPY_PTR(r_cm_scope, &fx_result->cm_scope);
fx_result->cm_loc = *r_cm_loc;
}
static void _fx_free_rR19C_form__cdefmacro_t(struct _fx_rR19C_form__cdefmacro_t_data_t** dst)
{
FX_FREE_REF_IMPL(_fx_rR19C_form__cdefmacro_t, _fx_free_R19C_form__cdefmacro_t);
}
static int _fx_make_rR19C_form__cdefmacro_t(
struct _fx_R19C_form__cdefmacro_t* arg,
struct _fx_rR19C_form__cdefmacro_t_data_t** fx_result)
{
FX_MAKE_REF_IMPL(_fx_rR19C_form__cdefmacro_t, _fx_copy_R19C_form__cdefmacro_t);
}
static void _fx_free_T2N14C_form__cexp_tLN15C_form__cstmt_t(struct _fx_T2N14C_form__cexp_tLN15C_form__cstmt_t* dst)
{
_fx_free_N14C_form__cexp_t(&dst->t0);
_fx_free_LN15C_form__cstmt_t(&dst->t1);
}
static void _fx_copy_T2N14C_form__cexp_tLN15C_form__cstmt_t(
struct _fx_T2N14C_form__cexp_tLN15C_form__cstmt_t* src,
struct _fx_T2N14C_form__cexp_tLN15C_form__cstmt_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
}
static void _fx_make_T2N14C_form__cexp_tLN15C_form__cstmt_t(
struct _fx_N14C_form__cexp_t_data_t* t0,
struct _fx_LN15C_form__cstmt_t_data_t* t1,
struct _fx_T2N14C_form__cexp_tLN15C_form__cstmt_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
}
static void _fx_free_LT2N14C_form__cexp_tLN15C_form__cstmt_t(struct _fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t_data_t** dst)
{
FX_FREE_LIST_IMPL(_fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t, _fx_free_T2N14C_form__cexp_tLN15C_form__cstmt_t);
}
static int _fx_cons_LT2N14C_form__cexp_tLN15C_form__cstmt_t(
struct _fx_T2N14C_form__cexp_tLN15C_form__cstmt_t* hd,
struct _fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t_data_t* tl,
bool addref_tl,
struct _fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t_data_t** fx_result)
{
FX_MAKE_LIST_IMPL(_fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t, _fx_copy_T2N14C_form__cexp_tLN15C_form__cstmt_t);
}
static void _fx_free_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t* dst)
{
_fx_free_LT2N14C_form__cexp_tLN15C_form__cstmt_t(&dst->t0);
_fx_free_LN15C_form__cstmt_t(&dst->t1);
}
static void _fx_copy_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t* src,
struct _fx_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t* dst)
{
FX_COPY_PTR(src->t0, &dst->t0);
FX_COPY_PTR(src->t1, &dst->t1);
dst->t2 = src->t2;
}
static void _fx_make_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t(
struct _fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t_data_t* t0,
struct _fx_LN15C_form__cstmt_t_data_t* t1,
struct _fx_R10Ast__loc_t* t2,
struct _fx_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t* fx_result)
{
FX_COPY_PTR(t0, &fx_result->t0);
FX_COPY_PTR(t1, &fx_result->t1);
fx_result->t2 = *t2;
}
static void _fx_free_N15C_form__cstmt_t(struct _fx_N15C_form__cstmt_t_data_t** dst)
{
if (*dst && FX_DECREF((*dst)->rc) == 1) {
switch ((*dst)->tag) {
case 2:
_fx_free_T2SR10Ast__loc_t(&(*dst)->u.CComment); break;
case 3:
_fx_free_N14C_form__cexp_t(&(*dst)->u.CExp); break;
case 6:
_fx_free_T2Nt6option1N14C_form__cexp_tR10Ast__loc_t(&(*dst)->u.CStmtReturn); break;
case 7:
_fx_free_T2LN15C_form__cstmt_tR10Ast__loc_t(&(*dst)->u.CStmtBlock); break;
case 8:
_fx_free_T2R9Ast__id_tN15C_form__cstmt_t(&(*dst)->u.CStmtSync); break;
case 9:
_fx_free_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t(&(*dst)->u.CStmtIf); break;
case 12:
_fx_free_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t(
&(*dst)->u.CStmtFor);
break;
case 13:
_fx_free_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t(&(*dst)->u.CStmtWhile); break;
case 14:
_fx_free_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t(&(*dst)->u.CStmtDoWhile); break;
case 15:
_fx_free_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t(&(*dst)->u.CStmtSwitch); break;
case 16:
_fx_free_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t(&(*dst)->u.CDefVal); break;
case 17:
_fx_free_rR17C_form__cdeffun_t(&(*dst)->u.CDefFun); break;
case 18:
_fx_free_rR17C_form__cdeftyp_t(&(*dst)->u.CDefTyp); break;
case 21:
_fx_free_rR18C_form__cdefenum_t(&(*dst)->u.CDefEnum); break;
case 22:
_fx_free_rR23C_form__cdefinterface_t(&(*dst)->u.CDefInterface); break;
case 23:
_fx_free_rR19C_form__cdefmacro_t(&(*dst)->u.CMacroDef); break;
case 25:
_fx_free_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t(&(*dst)->u.CMacroIf); break;
case 26:
_fx_free_T2SR10Ast__loc_t(&(*dst)->u.CMacroInclude); break;
case 27:
_fx_free_T2SR10Ast__loc_t(&(*dst)->u.CMacroPragma); break;
default:
;
}
fx_free(*dst);
}
*dst = 0;
}
static void _fx_free_R17C_form__cdefval_t(struct _fx_R17C_form__cdefval_t* dst)
{
_fx_free_N14C_form__ctyp_t(&dst->cv_typ);
fx_free_str(&dst->cv_cname);
_fx_free_R16Ast__val_flags_t(&dst->cv_flags);
}
static void _fx_copy_R17C_form__cdefval_t(struct _fx_R17C_form__cdefval_t* src, struct _fx_R17C_form__cdefval_t* dst)
{
dst->cv_name = src->cv_name;
FX_COPY_PTR(src->cv_typ, &dst->cv_typ);
fx_copy_str(&src->cv_cname, &dst->cv_cname);
_fx_copy_R16Ast__val_flags_t(&src->cv_flags, &dst->cv_flags);
dst->cv_loc = src->cv_loc;
}
static void _fx_make_R17C_form__cdefval_t(
struct _fx_R9Ast__id_t* r_cv_name,
struct _fx_N14C_form__ctyp_t_data_t* r_cv_typ,
fx_str_t* r_cv_cname,
struct _fx_R16Ast__val_flags_t* r_cv_flags,
struct _fx_R10Ast__loc_t* r_cv_loc,
struct _fx_R17C_form__cdefval_t* fx_result)
{
fx_result->cv_name = *r_cv_name;
FX_COPY_PTR(r_cv_typ, &fx_result->cv_typ);
fx_copy_str(r_cv_cname, &fx_result->cv_cname);
_fx_copy_R16Ast__val_flags_t(r_cv_flags, &fx_result->cv_flags);
fx_result->cv_loc = *r_cv_loc;
}
static void _fx_free_R19C_form__cdeflabel_t(struct _fx_R19C_form__cdeflabel_t* dst)
{
fx_free_str(&dst->cl_cname);
}
static void _fx_copy_R19C_form__cdeflabel_t(struct _fx_R19C_form__cdeflabel_t* src, struct _fx_R19C_form__cdeflabel_t* dst)
{
dst->cl_name = src->cl_name;
fx_copy_str(&src->cl_cname, &dst->cl_cname);
dst->cl_loc = src->cl_loc;
}
static void _fx_make_R19C_form__cdeflabel_t(
struct _fx_R9Ast__id_t* r_cl_name,
fx_str_t* r_cl_cname,
struct _fx_R10Ast__loc_t* r_cl_loc,
struct _fx_R19C_form__cdeflabel_t* fx_result)
{
fx_result->cl_name = *r_cl_name;
fx_copy_str(r_cl_cname, &fx_result->cl_cname);
fx_result->cl_loc = *r_cl_loc;
}
static void _fx_free_R17C_form__cdefexn_t(struct _fx_R17C_form__cdefexn_t* dst)
{
fx_free_str(&dst->cexn_cname);
fx_free_str(&dst->cexn_base_cname);
_fx_free_N14C_form__ctyp_t(&dst->cexn_typ);
fx_free_list_simple(&dst->cexn_scope);
}
static void _fx_copy_R17C_form__cdefexn_t(struct _fx_R17C_form__cdefexn_t* src, struct _fx_R17C_form__cdefexn_t* dst)
{
dst->cexn_name = src->cexn_name;
fx_copy_str(&src->cexn_cname, &dst->cexn_cname);
fx_copy_str(&src->cexn_base_cname, &dst->cexn_base_cname);
FX_COPY_PTR(src->cexn_typ, &dst->cexn_typ);
dst->cexn_std = src->cexn_std;
dst->cexn_tag = src->cexn_tag;
dst->cexn_data = src->cexn_data;
dst->cexn_info = src->cexn_info;
dst->cexn_make = src->cexn_make;
FX_COPY_PTR(src->cexn_scope, &dst->cexn_scope);
dst->cexn_loc = src->cexn_loc;
}
static void _fx_make_R17C_form__cdefexn_t(
struct _fx_R9Ast__id_t* r_cexn_name,
fx_str_t* r_cexn_cname,
fx_str_t* r_cexn_base_cname,
struct _fx_N14C_form__ctyp_t_data_t* r_cexn_typ,
bool r_cexn_std,
struct _fx_R9Ast__id_t* r_cexn_tag,
struct _fx_R9Ast__id_t* r_cexn_data,
struct _fx_R9Ast__id_t* r_cexn_info,
struct _fx_R9Ast__id_t* r_cexn_make,
struct _fx_LN12Ast__scope_t_data_t* r_cexn_scope,
struct _fx_R10Ast__loc_t* r_cexn_loc,
struct _fx_R17C_form__cdefexn_t* fx_result)
{
fx_result->cexn_name = *r_cexn_name;
fx_copy_str(r_cexn_cname, &fx_result->cexn_cname);
fx_copy_str(r_cexn_base_cname, &fx_result->cexn_base_cname);
FX_COPY_PTR(r_cexn_typ, &fx_result->cexn_typ);
fx_result->cexn_std = r_cexn_std;
fx_result->cexn_tag = *r_cexn_tag;
fx_result->cexn_data = *r_cexn_data;
fx_result->cexn_info = *r_cexn_info;
fx_result->cexn_make = *r_cexn_make;
FX_COPY_PTR(r_cexn_scope, &fx_result->cexn_scope);
fx_result->cexn_loc = *r_cexn_loc;
}
static void _fx_free_rR17C_form__cdefexn_t(struct _fx_rR17C_form__cdefexn_t_data_t** dst)
{
FX_FREE_REF_IMPL(_fx_rR17C_form__cdefexn_t, _fx_free_R17C_form__cdefexn_t);
}
static int _fx_make_rR17C_form__cdefexn_t(
struct _fx_R17C_form__cdefexn_t* arg,
struct _fx_rR17C_form__cdefexn_t_data_t** fx_result)
{
FX_MAKE_REF_IMPL(_fx_rR17C_form__cdefexn_t, _fx_copy_R17C_form__cdefexn_t);
}
static void _fx_free_N15C_form__cinfo_t(struct _fx_N15C_form__cinfo_t* dst)
{
switch (dst->tag) {
case 2:
_fx_free_R17C_form__cdefval_t(&dst->u.CVal); break;
case 3:
_fx_free_rR17C_form__cdeffun_t(&dst->u.CFun); break;
case 4:
_fx_free_rR17C_form__cdeftyp_t(&dst->u.CTyp); break;
case 5:
_fx_free_rR17C_form__cdefexn_t(&dst->u.CExn); break;
case 6:
_fx_free_rR23C_form__cdefinterface_t(&dst->u.CInterface); break;
case 7:
_fx_free_rR18C_form__cdefenum_t(&dst->u.CEnum); break;
case 8:
_fx_free_R19C_form__cdeflabel_t(&dst->u.CLabel); break;
case 9:
_fx_free_rR19C_form__cdefmacro_t(&dst->u.CMacro); break;
default:
;
}
dst->tag = 0;
}
static void _fx_copy_N15C_form__cinfo_t(struct _fx_N15C_form__cinfo_t* src, struct _fx_N15C_form__cinfo_t* dst)
{
dst->tag = src->tag;
switch (src->tag) {
case 2:
_fx_copy_R17C_form__cdefval_t(&src->u.CVal, &dst->u.CVal); break;
case 3:
FX_COPY_PTR(src->u.CFun, &dst->u.CFun); break;
case 4:
FX_COPY_PTR(src->u.CTyp, &dst->u.CTyp); break;
case 5:
FX_COPY_PTR(src->u.CExn, &dst->u.CExn); break;
case 6:
FX_COPY_PTR(src->u.CInterface, &dst->u.CInterface); break;
case 7:
FX_COPY_PTR(src->u.CEnum, &dst->u.CEnum); break;
case 8:
_fx_copy_R19C_form__cdeflabel_t(&src->u.CLabel, &dst->u.CLabel); break;
case 9:
FX_COPY_PTR(src->u.CMacro, &dst->u.CMacro); break;
default:
dst->u = src->u;
}
}
static void _fx_free_T3SiN13C_pp__assoc_t(struct _fx_T3SiN13C_pp__assoc_t* dst)
{
fx_free_str(&dst->t0);
}
static void _fx_copy_T3SiN13C_pp__assoc_t(struct _fx_T3SiN13C_pp__assoc_t* src, struct _fx_T3SiN13C_pp__assoc_t* dst)
{
fx_copy_str(&src->t0, &dst->t0);
dst->t1 = src->t1;
dst->t2 = src->t2;
}
static void _fx_make_T3SiN13C_pp__assoc_t(
fx_str_t* t0,
int_ t1,
struct _fx_N13C_pp__assoc_t* t2,
struct _fx_T3SiN13C_pp__assoc_t* fx_result)
{
fx_copy_str(t0, &fx_result->t0);
fx_result->t1 = t1;
fx_result->t2 = *t2;
}
_fx_Nt6option1R9Ast__id_t _fx_g10C_pp__None = { 1 };
_fx_N19C_form__ctyp_attr_t _fx_g15C_pp__CTypConst = { 1 };
_fx_N19C_form__ctyp_attr_t _fx_g18C_pp__CTypVolatile = { 2 };
_fx_N19C_form__ctyp_attr_t _fx_g16C_pp__CTypStatic = { 3 };
_fx_N13C_pp__assoc_t _fx_g15C_pp__AssocLeft = { 1 };
_fx_N13C_pp__assoc_t _fx_g16C_pp__AssocRight = { 2 };
FX_EXTERN_C int _fx_M3AstFM6__eq__B2RM4id_tRM4id_t(
struct _fx_R9Ast__id_t* a,
struct _fx_R9Ast__id_t* b,
bool* fx_result,
void* fx_fv);
FX_EXTERN_C int _fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(
struct _fx_R9Ast__id_t* n,
struct _fx_R10Ast__loc_t* loc,
fx_str_t* fx_result,
void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM3strv2RM1tS(struct _fx_R5PP__t* pp, fx_str_t* s, void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM5beginv1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
FX_EXTERN_C int _fx_M6C_formFM9ctyp2str_S2N14C_form__ctyp_tR10Ast__loc_t(
struct _fx_N14C_form__ctyp_t_data_t* t,
struct _fx_R10Ast__loc_t* loc,
fx_str_t* fx_result,
void* fx_fv);
static int _fx_M4C_ppFM9pr_id_optv3Nt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(
struct _fx_Nt6option1R9Ast__id_t* id_opt_0,
struct _fx_R10Ast__loc_t* loc_0,
struct _fx_R5PP__t* pp_0,
void* fx_fv);
FX_EXTERN_C int _fx_M3AstFM11compile_errE2RM5loc_tS(
struct _fx_R10Ast__loc_t* loc,
fx_str_t* msg,
fx_exn_t* fx_result,
void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM5spacev1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
static int _fx_M4C_ppFM10pr_id_opt_v4BNt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(
bool add_space_0,
struct _fx_Nt6option1R9Ast__id_t* id_opt_0,
struct _fx_R10Ast__loc_t* loc_0,
struct _fx_R5PP__t* pp_0,
void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM3cutv1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM3endv1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
static int
_fx_M4C_ppFM9pr_structv7SNt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_tSNt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(
fx_str_t* prefix_0,
struct _fx_Nt6option1R9Ast__id_t* n_opt_0,
struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t* elems_0,
fx_str_t* suffix_0,
struct _fx_Nt6option1R9Ast__id_t* id_opt_0,
struct _fx_R10Ast__loc_t* loc_0,
struct _fx_R5PP__t* pp_0,
void* fx_fv);
FX_EXTERN_C int _fx_M6C_formFM6cinfo_N15C_form__cinfo_t2R9Ast__id_tR10Ast__loc_t(
struct _fx_R9Ast__id_t* i,
struct _fx_R10Ast__loc_t* loc,
struct _fx_N15C_form__cinfo_t* fx_result,
void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM7newlinev1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM8newlineuv1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
FX_EXTERN_C int _fx_F3ordi1C(char_ c, int_* fx_result, void* fx_fv);
FX_EXTERN_C int _fx_F6stringS1i(int_ a, fx_str_t* fx_result, void* fx_fv);
FX_EXTERN_C int _fx_M6StringFM5splitLS3SCB(
fx_str_t* s,
char_ c,
bool allow_empty,
struct _fx_LS_data_t** fx_result,
void* fx_fv);
FX_EXTERN_C int _fx_M6StringFM7escapedS2SB(fx_str_t* s, bool quotes, fx_str_t* fx_result, void* fx_fv);
FX_EXTERN_C bool _fx_M6StringFM8endswithB2SC(fx_str_t* s, char_ suffix, void* fx_fv);
FX_EXTERN_C int _fx_M6K_formFM8klit2strS3N14K_form__klit_tBR10Ast__loc_t(
struct _fx_N14K_form__klit_t* lit,
bool cmode,
struct _fx_R10Ast__loc_t* loc,
fx_str_t* fx_result,
void* fx_fv);
FX_EXTERN_C int _fx_M4C_ppFM8pp_elistv2R5PP__tLN14C_form__cexp_t(
struct _fx_R5PP__t* pp_0,
struct _fx_LN14C_form__cexp_t_data_t* el_0,
void* fx_fv);
FX_EXTERN_C int _fx_M6StringFM5stripS1S(fx_str_t* s, fx_str_t* fx_result, void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM6beginvv1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM6break0v1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM6beginvv2RM1ti(struct _fx_R5PP__t* pp, int_ indent, void* fx_fv);
FX_EXTERN_C int _fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(
struct _fx_R5PP__t* pp_0,
struct _fx_N15C_form__cstmt_t_data_t* s_0,
void* fx_fv);
FX_EXTERN_C_VAL(struct _fx_R18Options__options_t _fx_g12Options__opt)
FX_EXTERN_C_VAL(struct _fx_R9Ast__id_t _fx_g9Ast__noid)
FX_EXTERN_C int _fx_M3AstFM2ppS1RM4id_t(struct _fx_R9Ast__id_t* i, fx_str_t* fx_result, void* fx_fv);
FX_EXTERN_C int _fx_M6StringFM7replaceS3SSS(
fx_str_t* s,
fx_str_t* substr,
fx_str_t* new_substr,
fx_str_t* fx_result,
void* fx_fv);
static int _fx_M4C_ppFM16print_cascade_ifv5SN14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR5PP__t(
fx_str_t* prefix_0,
struct _fx_N14C_form__cexp_t_data_t* e_0,
struct _fx_N15C_form__cstmt_t_data_t* s1_0,
struct _fx_N15C_form__cstmt_t_data_t* s2_0,
struct _fx_R5PP__t* pp_0,
void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM6breakuv1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
FX_EXTERN_C int _fx_F7__mul__S2Ci(char_ c, int_ n, fx_str_t* fx_result, void* fx_fv);
FX_EXTERN_C int _fx_M6C_formFM13get_idc_cnameS2R9Ast__id_tR10Ast__loc_t(
struct _fx_R9Ast__id_t* i,
struct _fx_R10Ast__loc_t* loc,
fx_str_t* fx_result,
void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM21pprint_to_string_listRM1t2ii(
int_ margin,
int_ default_indent,
struct _fx_R5PP__t* fx_result,
void* fx_fv);
FX_EXTERN_C int _fx_M2PPFM5flushv1RM1t(struct _fx_R5PP__t* pp, void* fx_fv);
FX_EXTERN_C int _fx_F12join_embraceS4SSSLS(
fx_str_t* begin,
fx_str_t* end,
fx_str_t* sep,
struct _fx_LS_data_t* strs,
fx_str_t* fx_result,
void* fx_fv);
FX_EXTERN_C void _fx_M4C_ppFM4SomeNt6option1R9Ast__id_t1R9Ast__id_t(
struct _fx_R9Ast__id_t* arg0,
struct _fx_Nt6option1R9Ast__id_t* fx_result)
{
fx_result->tag = 2;
fx_result->u.Some = *arg0;
}
FX_EXTERN_C int _fx_M4C_ppFM6__ne__B2R9Ast__id_tR9Ast__id_t(
struct _fx_R9Ast__id_t* a_0,
struct _fx_R9Ast__id_t* b_0,
bool* fx_result,
void* fx_fv)
{
int fx_status = 0;
bool v_0;
FX_CALL(_fx_M3AstFM6__eq__B2RM4id_tRM4id_t(a_0, b_0, &v_0, 0), _fx_cleanup);
*fx_result = !v_0;
_fx_cleanup: ;
return fx_status;
}
FX_EXTERN_C int_ _fx_M4C_ppFM6lengthi1LN15C_form__cstmt_t(struct _fx_LN15C_form__cstmt_t_data_t* l, void* fx_fv)
{
return fx_list_length(l);
}
FX_EXTERN_C int_ _fx_M4C_ppFM6lengthi1LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t(
struct _fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t_data_t* l,
void* fx_fv)
{
return fx_list_length(l);
}
FX_EXTERN_C int_ _fx_M4C_ppFM6lengthi1LS(struct _fx_LS_data_t* l, void* fx_fv)
{
return fx_list_length(l);
}
FX_EXTERN_C int_ _fx_M4C_ppFM6lengthi1LN14C_form__ctyp_t(struct _fx_LN14C_form__ctyp_t_data_t* l, void* fx_fv)
{
return fx_list_length(l);
}
FX_EXTERN_C int _fx_M4C_ppFM6stringS1S(fx_str_t* a_0, fx_str_t* fx_result, void* fx_fv)
{
int fx_status = 0;
fx_copy_str(a_0, fx_result);
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM8length1_i1LN15C_form__cstmt_t(
struct _fx_LN15C_form__cstmt_t_data_t* l_0,
int_* fx_result,
void* fx_fv)
{
int fx_status = 0;
*fx_result = _fx_M4C_ppFM6lengthi1LN15C_form__cstmt_t(l_0, 0);
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM8length1_i1LS(struct _fx_LS_data_t* l_0, int_* fx_result, void* fx_fv)
{
int fx_status = 0;
*fx_result = _fx_M4C_ppFM6lengthi1LS(l_0, 0);
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM8length1_i1LN14C_form__ctyp_t(
struct _fx_LN14C_form__ctyp_t_data_t* l_0,
int_* fx_result,
void* fx_fv)
{
int fx_status = 0;
*fx_result = _fx_M4C_ppFM6lengthi1LN14C_form__ctyp_t(l_0, 0);
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM3memB2LN19C_form__ctyp_attr_tN19C_form__ctyp_attr_t(
struct _fx_LN19C_form__ctyp_attr_t_data_t* l_0,
struct _fx_N19C_form__ctyp_attr_t* a_0,
bool* fx_result,
void* fx_fv)
{
int fx_status = 0;
bool __fold_result___0 = false;
_fx_LN19C_form__ctyp_attr_t lst_0 = l_0;
for (; lst_0; lst_0 = lst_0->tl) {
_fx_N19C_form__ctyp_attr_t* b_0 = &lst_0->hd;
if (a_0->tag == b_0->tag) {
__fold_result___0 = true; FX_BREAK(_fx_catch_0);
}
_fx_catch_0: ;
FX_CHECK_BREAK();
FX_CHECK_EXN(_fx_cleanup);
}
*fx_result = __fold_result___0;
_fx_cleanup: ;
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM10binop2str_T3SiN13C_pp__assoc_t1N17C_form__cbinary_t(
struct _fx_N17C_form__cbinary_t* bop_0,
struct _fx_T3SiN13C_pp__assoc_t* fx_result,
void* fx_fv)
{
int fx_status = 0;
int tag_0 = bop_0->tag;
if (tag_0 == 14) {
fx_str_t slit_0 = FX_MAKE_STR("");
_fx_make_T3SiN13C_pp__assoc_t(&slit_0, 1400, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 3) {
fx_str_t slit_1 = FX_MAKE_STR("*");
_fx_make_T3SiN13C_pp__assoc_t(&slit_1, 1200, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 4) {
fx_str_t slit_2 = FX_MAKE_STR("/");
_fx_make_T3SiN13C_pp__assoc_t(&slit_2, 1200, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 5) {
fx_str_t slit_3 = FX_MAKE_STR("%");
_fx_make_T3SiN13C_pp__assoc_t(&slit_3, 1200, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 1) {
fx_str_t slit_4 = FX_MAKE_STR("+");
_fx_make_T3SiN13C_pp__assoc_t(&slit_4, 1100, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 2) {
fx_str_t slit_5 = FX_MAKE_STR("-");
_fx_make_T3SiN13C_pp__assoc_t(&slit_5, 1100, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 6) {
fx_str_t slit_6 = FX_MAKE_STR("<<");
_fx_make_T3SiN13C_pp__assoc_t(&slit_6, 1000, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 7) {
fx_str_t slit_7 = FX_MAKE_STR(">>");
_fx_make_T3SiN13C_pp__assoc_t(&slit_7, 1000, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 13) {
if (bop_0->u.COpCmp.tag == 3) {
fx_str_t slit_8 = FX_MAKE_STR("<");
_fx_make_T3SiN13C_pp__assoc_t(&slit_8, 900, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
}
if (tag_0 == 13) {
if (bop_0->u.COpCmp.tag == 4) {
fx_str_t slit_9 = FX_MAKE_STR("<=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_9, 900, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
}
if (tag_0 == 13) {
if (bop_0->u.COpCmp.tag == 6) {
fx_str_t slit_10 = FX_MAKE_STR(">");
_fx_make_T3SiN13C_pp__assoc_t(&slit_10, 900, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
}
if (tag_0 == 13) {
if (bop_0->u.COpCmp.tag == 5) {
fx_str_t slit_11 = FX_MAKE_STR(">=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_11, 900, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
}
if (tag_0 == 13) {
if (bop_0->u.COpCmp.tag == 1) {
fx_str_t slit_12 = FX_MAKE_STR("==");
_fx_make_T3SiN13C_pp__assoc_t(&slit_12, 800, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
}
if (tag_0 == 13) {
if (bop_0->u.COpCmp.tag == 2) {
fx_str_t slit_13 = FX_MAKE_STR("!=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_13, 800, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
}
if (tag_0 == 8) {
fx_str_t slit_14 = FX_MAKE_STR("&");
_fx_make_T3SiN13C_pp__assoc_t(&slit_14, 700, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 10) {
fx_str_t slit_15 = FX_MAKE_STR("^");
_fx_make_T3SiN13C_pp__assoc_t(&slit_15, 600, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 9) {
fx_str_t slit_16 = FX_MAKE_STR("|");
_fx_make_T3SiN13C_pp__assoc_t(&slit_16, 500, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 11) {
fx_str_t slit_17 = FX_MAKE_STR("&&");
_fx_make_T3SiN13C_pp__assoc_t(&slit_17, 400, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 12) {
fx_str_t slit_18 = FX_MAKE_STR("||");
_fx_make_T3SiN13C_pp__assoc_t(&slit_18, 300, &_fx_g15C_pp__AssocLeft, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 15) {
fx_str_t slit_19 = FX_MAKE_STR("=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_19, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 16) {
fx_str_t slit_20 = FX_MAKE_STR("+=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_20, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 17) {
fx_str_t slit_21 = FX_MAKE_STR("-=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_21, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 18) {
fx_str_t slit_22 = FX_MAKE_STR("*=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_22, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 19) {
fx_str_t slit_23 = FX_MAKE_STR("/=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_23, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 20) {
fx_str_t slit_24 = FX_MAKE_STR("%=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_24, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 21) {
fx_str_t slit_25 = FX_MAKE_STR("<<=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_25, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 22) {
fx_str_t slit_26 = FX_MAKE_STR(">>=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_26, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 23) {
fx_str_t slit_27 = FX_MAKE_STR("&=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_27, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 24) {
fx_str_t slit_28 = FX_MAKE_STR("|=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_28, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
if (tag_0 == 25) {
fx_str_t slit_29 = FX_MAKE_STR("^=");
_fx_make_T3SiN13C_pp__assoc_t(&slit_29, 100, &_fx_g16C_pp__AssocRight, fx_result);
goto _fx_endmatch_0;
}
FX_FAST_THROW(FX_EXN_NoMatchError, _fx_cleanup);
_fx_endmatch_0: ;
_fx_cleanup: ;
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM9unop2str_T3SiN13C_pp__assoc_t1N16C_form__cunary_t(
struct _fx_N16C_form__cunary_t* uop_0,
struct _fx_T3SiN13C_pp__assoc_t* fx_result,
void* fx_fv)
{
int fx_status = 0;
int tag_0 = uop_0->tag;
if (tag_0 == 1) {
fx_str_t slit_0 = FX_MAKE_STR("+"); _fx_make_T3SiN13C_pp__assoc_t(&slit_0, 1300, &_fx_g16C_pp__AssocRight, fx_result);
}
else if (tag_0 == 2) {
fx_str_t slit_1 = FX_MAKE_STR("-"); _fx_make_T3SiN13C_pp__assoc_t(&slit_1, 1300, &_fx_g16C_pp__AssocRight, fx_result);
}
else if (tag_0 == 3) {
fx_str_t slit_2 = FX_MAKE_STR("~"); _fx_make_T3SiN13C_pp__assoc_t(&slit_2, 1300, &_fx_g16C_pp__AssocRight, fx_result);
}
else if (tag_0 == 4) {
fx_str_t slit_3 = FX_MAKE_STR("!"); _fx_make_T3SiN13C_pp__assoc_t(&slit_3, 1300, &_fx_g16C_pp__AssocRight, fx_result);
}
else if (tag_0 == 5) {
fx_str_t slit_4 = FX_MAKE_STR("*"); _fx_make_T3SiN13C_pp__assoc_t(&slit_4, 1300, &_fx_g16C_pp__AssocRight, fx_result);
}
else if (tag_0 == 6) {
fx_str_t slit_5 = FX_MAKE_STR("&"); _fx_make_T3SiN13C_pp__assoc_t(&slit_5, 1300, &_fx_g16C_pp__AssocRight, fx_result);
}
else if (tag_0 == 7) {
fx_str_t slit_6 = FX_MAKE_STR("++"); _fx_make_T3SiN13C_pp__assoc_t(&slit_6, 1300, &_fx_g16C_pp__AssocRight, fx_result);
}
else if (tag_0 == 8) {
fx_str_t slit_7 = FX_MAKE_STR("--"); _fx_make_T3SiN13C_pp__assoc_t(&slit_7, 1300, &_fx_g16C_pp__AssocRight, fx_result);
}
else if (tag_0 == 9) {
fx_str_t slit_8 = FX_MAKE_STR("++"); _fx_make_T3SiN13C_pp__assoc_t(&slit_8, 1400, &_fx_g15C_pp__AssocLeft, fx_result);
}
else if (tag_0 == 10) {
fx_str_t slit_9 = FX_MAKE_STR("--"); _fx_make_T3SiN13C_pp__assoc_t(&slit_9, 1400, &_fx_g15C_pp__AssocLeft, fx_result);
}
else {
FX_FAST_THROW(FX_EXN_NoMatchError, _fx_cleanup);
}
_fx_cleanup: ;
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(
struct _fx_R5PP__t* pp_0,
struct _fx_R9Ast__id_t* n_0,
struct _fx_R10Ast__loc_t* loc_0,
void* fx_fv)
{
fx_str_t v_0 = {0};
int fx_status = 0;
FX_CALL(_fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(n_0, loc_0, &v_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_0, 0), _fx_cleanup);
_fx_cleanup: ;
FX_FREE_STR(&v_0);
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(
struct _fx_R5PP__t* pp_0,
fx_str_t* prefix0_0,
fx_str_t* suffix0_0,
struct _fx_N14C_form__ctyp_t_data_t* t_0,
struct _fx_Nt6option1R9Ast__id_t* id_opt_0,
bool fwd_mode_0,
struct _fx_R10Ast__loc_t* loc_0,
void* fx_fv)
{
int fx_status = 0;
FX_CALL(fx_check_stack(), _fx_cleanup);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_cleanup);
int tag_0 = FX_REC_VARIANT_TAG(t_0);
bool res_0;
if (tag_0 == 1) {
res_0 = true;
}
else if (tag_0 == 2) {
res_0 = true;
}
else if (tag_0 == 3) {
res_0 = true;
}
else if (tag_0 == 4) {
res_0 = true;
}
else if (tag_0 == 5) {
res_0 = true;
}
else if (tag_0 == 6) {
res_0 = true;
}
else if (tag_0 == 11) {
res_0 = true;
}
else if (tag_0 == 9) {
res_0 = true;
}
else if (tag_0 == 8) {
res_0 = true;
}
else if (tag_0 == 12) {
res_0 = true;
}
else if (tag_0 == 10) {
res_0 = true;
}
else if (tag_0 == 18) {
res_0 = true;
}
else if (tag_0 == 19) {
res_0 = true;
}
else {
res_0 = false;
}
FX_CHECK_EXN(_fx_cleanup);
if (res_0) {
fx_str_t v_0 = {0};
FX_CALL(_fx_M6C_formFM9ctyp2str_S2N14C_form__ctyp_tR10Ast__loc_t(t_0, loc_0, &v_0, 0), _fx_catch_0);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_0, 0), _fx_catch_0);
FX_CALL(_fx_M4C_ppFM9pr_id_optv3Nt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(id_opt_0, loc_0, pp_0, 0), _fx_catch_0);
_fx_catch_0: ;
FX_FREE_STR(&v_0);
goto _fx_endmatch_3;
}
if (tag_0 == 7) {
fx_str_t slit_0 = FX_MAKE_STR("void");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_0, 0), _fx_catch_2);
if (id_opt_0->tag == 2) {
fx_str_t v_1 = {0};
fx_str_t v_2 = {0};
fx_str_t v_3 = {0};
fx_exn_t v_4 = {0};
FX_CALL(_fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(&id_opt_0->u.Some, loc_0, &v_1, 0), _fx_catch_1);
FX_CALL(_fx_M4C_ppFM6stringS1S(&v_1, &v_2, 0), _fx_catch_1);
fx_str_t slit_1 = FX_MAKE_STR("c_pp.ml: void cannot be used with id \'");
fx_str_t slit_2 = FX_MAKE_STR("\'");
{
const fx_str_t strs_0[] = { slit_1, v_2, slit_2 };
FX_CALL(fx_strjoin(0, 0, 0, strs_0, 3, &v_3), _fx_catch_1);
}
FX_CALL(_fx_M3AstFM11compile_errE2RM5loc_tS(loc_0, &v_3, &v_4, 0), _fx_catch_1);
FX_THROW(&v_4, false, _fx_catch_1);
_fx_catch_1: ;
fx_free_exn(&v_4);
FX_FREE_STR(&v_3);
FX_FREE_STR(&v_2);
FX_FREE_STR(&v_1);
}
FX_CHECK_EXN(_fx_catch_2);
_fx_catch_2: ;
goto _fx_endmatch_3;
}
if (tag_0 == 15) {
_fx_T2LN14C_form__ctyp_tN14C_form__ctyp_t* vcase_0 = &t_0->u.CTypFunRawPtr;
_fx_LN14C_form__ctyp_t args_0 = vcase_0->t0;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_7);
fx_str_t slit_3 = FX_MAKE_STR("");
fx_str_t slit_4 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_3, &slit_4,
vcase_0->t1, &_fx_g10C_pp__None, true, loc_0, 0), _fx_catch_7);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_7);
fx_str_t slit_5 = FX_MAKE_STR("(*");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_5, 0), _fx_catch_7);
FX_CALL(_fx_M4C_ppFM10pr_id_opt_v4BNt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(false, id_opt_0, loc_0, pp_0, 0),
_fx_catch_7);
fx_str_t slit_6 = FX_MAKE_STR(")(");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_6, 0), _fx_catch_7);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_7);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_7);
if (args_0 == 0) {
fx_str_t slit_7 = FX_MAKE_STR("void");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_7, 0), _fx_catch_3);
_fx_catch_3: ;
goto _fx_endmatch_0;
}
if (args_0 != 0) {
if (args_0->tl == 0) {
fx_str_t slit_8 = FX_MAKE_STR("");
fx_str_t slit_9 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_8, &slit_9,
args_0->hd, &_fx_g10C_pp__None, true, loc_0, 0), _fx_catch_4);
_fx_catch_4: ;
goto _fx_endmatch_0;
}
}
_fx_LN14C_form__ctyp_t args_1 = 0;
int_ nargs_0;
FX_CALL(_fx_M4C_ppFM8length1_i1LN14C_form__ctyp_t(args_0, &nargs_0, 0), _fx_catch_6);
int_ i_0 = 0;
FX_COPY_PTR(args_0, &args_1);
_fx_LN14C_form__ctyp_t lst_0 = args_1;
for (; lst_0; lst_0 = lst_0->tl, i_0 += 1) {
fx_str_t v_5 = {0};
_fx_N14C_form__ctyp_t ti_0 = lst_0->hd;
bool last_0 = i_0 == nargs_0 - 1;
if (last_0) {
fx_str_t slit_10 = FX_MAKE_STR(""); fx_copy_str(&slit_10, &v_5);
}
else {
fx_str_t slit_11 = FX_MAKE_STR(","); fx_copy_str(&slit_11, &v_5);
}
fx_str_t slit_12 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_12, &v_5, ti_0,
&_fx_g10C_pp__None, true, loc_0, 0), _fx_catch_5);
if (!last_0) {
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_5);
}
_fx_catch_5: ;
FX_FREE_STR(&v_5);
FX_CHECK_EXN(_fx_catch_6);
}
_fx_catch_6: ;
if (args_1) {
_fx_free_LN14C_form__ctyp_t(&args_1);
}
_fx_endmatch_0: ;
FX_CHECK_EXN(_fx_catch_7);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_7);
fx_str_t slit_13 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_13, 0), _fx_catch_7);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_7);
_fx_catch_7: ;
goto _fx_endmatch_3;
}
if (tag_0 == 13) {
fx_str_t v_6 = {0};
_fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t* vcase_1 = &t_0->u.CTypStruct;
fx_str_t slit_14 = FX_MAKE_STR("struct");
{
const fx_str_t strs_1[] = { *prefix0_0, slit_14 };
FX_CALL(fx_strjoin(0, 0, 0, strs_1, 2, &v_6), _fx_catch_8);
}
fx_str_t slit_15 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pr_structv7SNt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_tSNt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(
&v_6, &vcase_1->t0, vcase_1->t1, &slit_15, id_opt_0, loc_0, pp_0, 0), _fx_catch_8);
_fx_catch_8: ;
FX_FREE_STR(&v_6);
goto _fx_endmatch_3;
}
if (tag_0 == 16) {
_fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t* vcase_2 = &t_0->u.CTypRawPtr;
if (vcase_2->t0 == 0) {
_fx_N14C_form__ctyp_t v_7 = vcase_2->t1;
if (FX_REC_VARIANT_TAG(v_7) == 13) {
fx_str_t suffix_0 = {0};
fx_str_t v_8 = {0};
_fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t* vcase_3 = &v_7->u.CTypStruct;
_fx_Nt6option1R9Ast__id_t* n_opt_0 = &vcase_3->t0;
if (n_opt_0->tag == 2) {
fx_str_t v_9 = {0};
FX_CALL(_fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(&n_opt_0->u.Some, loc_0, &v_9, 0), _fx_catch_9);
fx_str_t slit_16 = FX_MAKE_STR(", *");
{
const fx_str_t strs_2[] = { v_9, slit_16 };
FX_CALL(fx_strjoin(0, 0, 0, strs_2, 2, &suffix_0), _fx_catch_9);
}
_fx_catch_9: ;
FX_FREE_STR(&v_9);
}
else {
fx_str_t slit_17 = FX_MAKE_STR("*"); fx_copy_str(&slit_17, &suffix_0);
}
FX_CHECK_EXN(_fx_catch_10);
fx_str_t slit_18 = FX_MAKE_STR("struct");
{
const fx_str_t strs_3[] = { *prefix0_0, slit_18 };
FX_CALL(fx_strjoin(0, 0, 0, strs_3, 2, &v_8), _fx_catch_10);
}
FX_CALL(
_fx_M4C_ppFM9pr_structv7SNt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_tSNt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(
&v_8, n_opt_0, vcase_3->t1, &suffix_0, id_opt_0, loc_0, pp_0, 0), _fx_catch_10);
_fx_catch_10: ;
FX_FREE_STR(&v_8);
FX_FREE_STR(&suffix_0);
goto _fx_endmatch_3;
}
}
}
if (tag_0 == 14) {
fx_str_t v_10 = {0};
_fx_T2Nt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_t* vcase_4 = &t_0->u.CTypUnion;
fx_str_t slit_19 = FX_MAKE_STR("union");
{
const fx_str_t strs_4[] = { *prefix0_0, slit_19 };
FX_CALL(fx_strjoin(0, 0, 0, strs_4, 2, &v_10), _fx_catch_11);
}
fx_str_t slit_20 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pr_structv7SNt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_tSNt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(
&v_10, &vcase_4->t0, vcase_4->t1, &slit_20, id_opt_0, loc_0, pp_0, 0), _fx_catch_11);
_fx_catch_11: ;
FX_FREE_STR(&v_10);
goto _fx_endmatch_3;
}
if (tag_0 == 16) {
_fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t* vcase_5 = &t_0->u.CTypRawPtr;
_fx_LN19C_form__ctyp_attr_t attrs_0 = vcase_5->t0;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_12);
bool v_11;
FX_CALL(_fx_M4C_ppFM3memB2LN19C_form__ctyp_attr_tN19C_form__ctyp_attr_t(attrs_0, &_fx_g16C_pp__CTypStatic, &v_11, 0),
_fx_catch_12);
if (v_11) {
fx_str_t slit_21 = FX_MAKE_STR("static "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_21, 0), _fx_catch_12);
}
bool v_12;
FX_CALL(_fx_M4C_ppFM3memB2LN19C_form__ctyp_attr_tN19C_form__ctyp_attr_t(attrs_0, &_fx_g18C_pp__CTypVolatile, &v_12, 0),
_fx_catch_12);
if (v_12) {
fx_str_t slit_22 = FX_MAKE_STR("volatile "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_22, 0), _fx_catch_12);
}
fx_str_t slit_23 = FX_MAKE_STR("");
fx_str_t slit_24 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_23, &slit_24,
vcase_5->t1, &_fx_g10C_pp__None, fwd_mode_0, loc_0, 0), _fx_catch_12);
fx_str_t slit_25 = FX_MAKE_STR("*");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_25, 0), _fx_catch_12);
FX_CALL(_fx_M4C_ppFM9pr_id_optv3Nt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(id_opt_0, loc_0, pp_0, 0), _fx_catch_12);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_12);
_fx_catch_12: ;
goto _fx_endmatch_3;
}
if (tag_0 == 17) {
_fx_T2LN19C_form__ctyp_attr_tN14C_form__ctyp_t* vcase_6 = &t_0->u.CTypRawArray;
_fx_LN19C_form__ctyp_attr_t attrs_1 = vcase_6->t0;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_13);
bool v_13;
FX_CALL(_fx_M4C_ppFM3memB2LN19C_form__ctyp_attr_tN19C_form__ctyp_attr_t(attrs_1, &_fx_g16C_pp__CTypStatic, &v_13, 0),
_fx_catch_13);
if (v_13) {
fx_str_t slit_26 = FX_MAKE_STR("static "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_26, 0), _fx_catch_13);
}
bool v_14;
FX_CALL(_fx_M4C_ppFM3memB2LN19C_form__ctyp_attr_tN19C_form__ctyp_attr_t(attrs_1, &_fx_g18C_pp__CTypVolatile, &v_14, 0),
_fx_catch_13);
if (v_14) {
fx_str_t slit_27 = FX_MAKE_STR("volatile "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_27, 0), _fx_catch_13);
}
bool v_15;
FX_CALL(_fx_M4C_ppFM3memB2LN19C_form__ctyp_attr_tN19C_form__ctyp_attr_t(attrs_1, &_fx_g15C_pp__CTypConst, &v_15, 0),
_fx_catch_13);
if (v_15) {
fx_str_t slit_28 = FX_MAKE_STR("const "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_28, 0), _fx_catch_13);
}
fx_str_t slit_29 = FX_MAKE_STR("");
fx_str_t slit_30 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_29, &slit_30,
vcase_6->t1, &_fx_g10C_pp__None, fwd_mode_0, loc_0, 0), _fx_catch_13);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_13);
FX_CALL(_fx_M4C_ppFM10pr_id_opt_v4BNt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(false, id_opt_0, loc_0, pp_0, 0),
_fx_catch_13);
fx_str_t slit_31 = FX_MAKE_STR("[]");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_31, 0), _fx_catch_13);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_13);
_fx_catch_13: ;
goto _fx_endmatch_3;
}
if (tag_0 == 20) {
_fx_R9Ast__id_t* n_0 = &t_0->u.CTypName;
if (fwd_mode_0 == false) {
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, n_0, loc_0, 0), _fx_catch_14);
_fx_catch_14: ;
goto _fx_endmatch_2;
}
if (fwd_mode_0 == true) {
if (n_0->m == 0) {
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, n_0, loc_0, 0), _fx_catch_15);
_fx_catch_15: ;
goto _fx_endmatch_2;
}
}
_fx_N15C_form__cinfo_t v_16 = {0};
_fx_R17C_form__cdeftyp_t v_17 = {0};
_fx_R17C_form__cdeftyp_t v_18 = {0};
FX_CALL(_fx_M6C_formFM6cinfo_N15C_form__cinfo_t2R9Ast__id_tR10Ast__loc_t(n_0, loc_0, &v_16, 0), _fx_catch_20);
int tag_1 = v_16.tag;
if (tag_1 == 4) {
_fx_copy_R17C_form__cdeftyp_t(&v_16.u.CTyp->data, &v_17);
_fx_N14C_form__ctyp_t v_19 = v_17.ct_typ;
if (FX_REC_VARIANT_TAG(v_19) == 16) {
_fx_N14C_form__ctyp_t v_20 = v_19->u.CTypRawPtr.t1;
if (FX_REC_VARIANT_TAG(v_20) == 13) {
_fx_Nt6option1R9Ast__id_t* v_21 = &v_20->u.CTypStruct.t0;
if (v_21->tag == 2) {
fx_str_t slit_32 = FX_MAKE_STR("struct ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_32, 0), _fx_catch_16);
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &v_21->u.Some, loc_0, 0), _fx_catch_16);
fx_str_t slit_33 = FX_MAKE_STR("*");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_33, 0), _fx_catch_16);
_fx_catch_16: ;
goto _fx_endmatch_1;
}
}
}
}
if (tag_1 == 4) {
_fx_copy_R17C_form__cdeftyp_t(&v_16.u.CTyp->data, &v_18);
_fx_N14C_form__ctyp_t v_22 = v_18.ct_typ;
if (FX_REC_VARIANT_TAG(v_22) == 13) {
_fx_Nt6option1R9Ast__id_t* v_23 = &v_22->u.CTypStruct.t0;
if (v_23->tag == 2) {
fx_str_t slit_34 = FX_MAKE_STR("struct ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_34, 0), _fx_catch_17);
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &v_23->u.Some, loc_0, 0), _fx_catch_17);
_fx_catch_17: ;
goto _fx_endmatch_1;
}
}
}
if (tag_1 == 6) {
_fx_R23C_form__cdefinterface_t v_24 = {0};
fx_str_t v_25 = {0};
fx_str_t v_26 = {0};
_fx_copy_R23C_form__cdefinterface_t(&v_16.u.CInterface->data, &v_24);
FX_CALL(_fx_M4C_ppFM6stringS1S(&v_24.ci_cname, &v_25, 0), _fx_catch_18);
fx_str_t slit_35 = FX_MAKE_STR("struct ");
{
const fx_str_t strs_5[] = { slit_35, v_25 };
FX_CALL(fx_strjoin(0, 0, 0, strs_5, 2, &v_26), _fx_catch_18);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_26, 0), _fx_catch_18);
_fx_catch_18: ;
FX_FREE_STR(&v_26);
FX_FREE_STR(&v_25);
_fx_free_R23C_form__cdefinterface_t(&v_24);
goto _fx_endmatch_1;
}
if (FX_STR_LENGTH(*prefix0_0) != 0) {
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, prefix0_0, 0), _fx_catch_19);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_19);
}
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, n_0, loc_0, 0), _fx_catch_19);
_fx_catch_19: ;
_fx_endmatch_1: ;
FX_CHECK_EXN(_fx_catch_20);
_fx_catch_20: ;
_fx_free_R17C_form__cdeftyp_t(&v_18);
_fx_free_R17C_form__cdeftyp_t(&v_17);
_fx_free_N15C_form__cinfo_t(&v_16);
_fx_endmatch_2: ;
FX_CHECK_EXN(_fx_catch_21);
FX_CALL(_fx_M4C_ppFM9pr_id_optv3Nt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(id_opt_0, loc_0, pp_0, 0), _fx_catch_21);
_fx_catch_21: ;
goto _fx_endmatch_3;
}
if (tag_0 == 21) {
fx_str_t slit_36 = FX_MAKE_STR("/*<label>*/");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_36, 0), _fx_catch_22);
FX_CALL(_fx_M4C_ppFM9pr_id_optv3Nt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(id_opt_0, loc_0, pp_0, 0), _fx_catch_22);
_fx_catch_22: ;
goto _fx_endmatch_3;
}
if (tag_0 == 22) {
fx_str_t slit_37 = FX_MAKE_STR("void");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_37, 0), _fx_catch_23);
FX_CALL(_fx_M4C_ppFM9pr_id_optv3Nt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(id_opt_0, loc_0, pp_0, 0), _fx_catch_23);
_fx_catch_23: ;
goto _fx_endmatch_3;
}
FX_FAST_THROW(FX_EXN_NoMatchError, _fx_cleanup);
_fx_endmatch_3: ;
FX_CHECK_EXN(_fx_cleanup);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, suffix0_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_cleanup);
_fx_cleanup: ;
return fx_status;
}
static int _fx_M4C_ppFM10pr_id_opt_v4BNt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(
bool add_space_0,
struct _fx_Nt6option1R9Ast__id_t* id_opt_0,
struct _fx_R10Ast__loc_t* loc_0,
struct _fx_R5PP__t* pp_0,
void* fx_fv)
{
int fx_status = 0;
if (id_opt_0->tag == 2) {
fx_str_t v_0 = {0};
if (add_space_0) {
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_0);
}
FX_CALL(_fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(&id_opt_0->u.Some, loc_0, &v_0, 0), _fx_catch_0);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_0, 0), _fx_catch_0);
_fx_catch_0: ;
FX_FREE_STR(&v_0);
}
return fx_status;
}
static int _fx_M4C_ppFM9pr_id_optv3Nt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(
struct _fx_Nt6option1R9Ast__id_t* id_opt_0,
struct _fx_R10Ast__loc_t* loc_0,
struct _fx_R5PP__t* pp_0,
void* fx_fv)
{
int fx_status = 0;
if (id_opt_0->tag == 2) {
fx_str_t v_0 = {0};
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_0);
FX_CALL(_fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(&id_opt_0->u.Some, loc_0, &v_0, 0), _fx_catch_0);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_0, 0), _fx_catch_0);
_fx_catch_0: ;
FX_FREE_STR(&v_0);
}
return fx_status;
}
static int
_fx_M4C_ppFM9pr_structv7SNt6option1R9Ast__id_tLT2R9Ast__id_tN14C_form__ctyp_tSNt6option1R9Ast__id_tR10Ast__loc_tR5PP__t(
fx_str_t* prefix_0,
struct _fx_Nt6option1R9Ast__id_t* n_opt_0,
struct _fx_LT2R9Ast__id_tN14C_form__ctyp_t_data_t* elems_0,
fx_str_t* suffix_0,
struct _fx_Nt6option1R9Ast__id_t* id_opt_0,
struct _fx_R10Ast__loc_t* loc_0,
struct _fx_R5PP__t* pp_0,
void* fx_fv)
{
fx_str_t v_0 = {0};
fx_str_t v_1 = {0};
int fx_status = 0;
FX_CALL(fx_check_stack(), _fx_cleanup);
fx_str_t slit_0 = FX_MAKE_STR(" ");
{
const fx_str_t strs_0[] = { *prefix_0, slit_0 };
FX_CALL(fx_strjoin(0, 0, 0, strs_0, 2, &v_0), _fx_cleanup);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_0, 0), _fx_cleanup);
if (n_opt_0->tag == 2) {
fx_str_t v_2 = {0};
FX_CALL(_fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(&n_opt_0->u.Some, loc_0, &v_2, 0), _fx_catch_0);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_2, 0), _fx_catch_0);
fx_str_t slit_1 = FX_MAKE_STR(" ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_1, 0), _fx_catch_0);
_fx_catch_0: ;
FX_FREE_STR(&v_2);
}
FX_CHECK_EXN(_fx_cleanup);
fx_str_t slit_2 = FX_MAKE_STR("{");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_2, 0), _fx_cleanup);
_fx_LT2R9Ast__id_tN14C_form__ctyp_t lst_0 = elems_0;
for (; lst_0; lst_0 = lst_0->tl) {
_fx_N14C_form__ctyp_t ti_0 = 0;
_fx_T2R9Ast__id_tN14C_form__ctyp_t* __pat___0 = &lst_0->hd;
_fx_R9Ast__id_t ni_0 = __pat___0->t0;
FX_COPY_PTR(__pat___0->t1, &ti_0);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_1);
int tag_0 = FX_REC_VARIANT_TAG(ti_0);
bool need_nested_box_0;
bool res_0;
if (tag_0 == 13) {
res_0 = true; goto _fx_endmatch_0;
}
if (tag_0 == 14) {
res_0 = true; goto _fx_endmatch_0;
}
if (tag_0 == 16) {
if (FX_REC_VARIANT_TAG(ti_0->u.CTypRawPtr.t1) == 13) {
res_0 = true; goto _fx_endmatch_0;
}
}
res_0 = false;
_fx_endmatch_0: ;
FX_CHECK_EXN(_fx_catch_1);
if (res_0) {
need_nested_box_0 = false; goto _fx_endmatch_1;
}
need_nested_box_0 = true;
_fx_endmatch_1: ;
FX_CHECK_EXN(_fx_catch_1);
if (need_nested_box_0) {
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_1);
}
_fx_Nt6option1R9Ast__id_t v_3;
_fx_M4C_ppFM4SomeNt6option1R9Ast__id_t1R9Ast__id_t(&ni_0, &v_3);
fx_str_t slit_3 = FX_MAKE_STR("");
fx_str_t slit_4 = FX_MAKE_STR(";");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_3, &slit_4, ti_0,
&v_3, true, loc_0, 0), _fx_catch_1);
if (need_nested_box_0) {
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_1);
}
_fx_catch_1: ;
if (ti_0) {
_fx_free_N14C_form__ctyp_t(&ti_0);
}
FX_CHECK_EXN(_fx_cleanup);
}
FX_CALL(_fx_M2PPFM8newlineuv1RM1t(pp_0, 0), _fx_cleanup);
fx_str_t slit_5 = FX_MAKE_STR("} ");
{
const fx_str_t strs_1[] = { slit_5, *suffix_0 };
FX_CALL(fx_strjoin(0, 0, 0, strs_1, 2, &v_1), _fx_cleanup);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_1, 0), _fx_cleanup);
if (id_opt_0->tag == 2) {
fx_str_t v_4 = {0};
FX_CALL(_fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(&id_opt_0->u.Some, loc_0, &v_4, 0), _fx_catch_2);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_4, 0), _fx_catch_2);
_fx_catch_2: ;
FX_FREE_STR(&v_4);
}
_fx_cleanup: ;
FX_FREE_STR(&v_0);
FX_FREE_STR(&v_1);
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM8pp_ctyp_v4R5PP__tN14C_form__ctyp_tNt6option1R9Ast__id_tR10Ast__loc_t(
struct _fx_R5PP__t* pp_0,
struct _fx_N14C_form__ctyp_t_data_t* t_0,
struct _fx_Nt6option1R9Ast__id_t* id_opt_0,
struct _fx_R10Ast__loc_t* loc_0,
void* fx_fv)
{
int fx_status = 0;
fx_str_t slit_0 = FX_MAKE_STR("");
fx_str_t slit_1 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_0, &slit_1, t_0,
id_opt_0, false, loc_0, 0), _fx_cleanup);
_fx_cleanup: ;
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(
struct _fx_R5PP__t* pp_0,
struct _fx_N14C_form__cexp_t_data_t* e_0,
int_ pr_0,
void* fx_fv)
{
int fx_status = 0;
FX_CALL(fx_check_stack(), _fx_cleanup);
int tag_0 = FX_REC_VARIANT_TAG(e_0);
if (tag_0 == 1) {
_fx_T2R9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* vcase_0 = &e_0->u.CExpIdent;
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &vcase_0->t0, &vcase_0->t1.t1, 0), _fx_catch_0);
_fx_catch_0: ;
goto _fx_endmatch_2;
}
if (tag_0 == 2) {
_fx_T2N14K_form__klit_tT2N14C_form__ctyp_tR10Ast__loc_t* vcase_1 = &e_0->u.CExpLit;
_fx_N14K_form__klit_t* l_0 = &vcase_1->t0;
int tag_1 = l_0->tag;
if (tag_1 == 8) {
fx_str_t slit_0 = FX_MAKE_STR("0"); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_0, 0), _fx_catch_1); _fx_catch_1: ;
}
else if (tag_1 == 6) {
fx_str_t v_0 = {0};
fx_str_t v_1 = {0};
int_ v_2;
FX_CALL(_fx_F3ordi1C(l_0->u.KLitChar, &v_2, 0), _fx_catch_2);
FX_CALL(_fx_F6stringS1i(v_2, &v_0, 0), _fx_catch_2);
fx_str_t slit_1 = FX_MAKE_STR("(char_)");
{
const fx_str_t strs_0[] = { slit_1, v_0 };
FX_CALL(fx_strjoin(0, 0, 0, strs_0, 2, &v_1), _fx_catch_2);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_1, 0), _fx_catch_2);
_fx_catch_2: ;
FX_FREE_STR(&v_1);
FX_FREE_STR(&v_0);
}
else if (tag_1 == 5) {
_fx_LS sl_0 = 0;
fx_str_t v_3 = {0};
fx_str_t* s0_0 = &l_0->u.KLitString;
FX_CALL(_fx_M6StringFM5splitLS3SCB(s0_0, (char_)10, true, &sl_0, 0), _fx_catch_4);
if (sl_0 == 0) {
FX_CALL(_fx_M6StringFM7escapedS2SB(s0_0, true, &v_3, 0), _fx_catch_4);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_3, 0), _fx_catch_4);
}
else {
int_ n_0;
FX_CALL(_fx_M4C_ppFM8length1_i1LS(sl_0, &n_0, 0), _fx_catch_4);
int_ i_0 = 0;
_fx_LS lst_0 = sl_0;
for (; lst_0; lst_0 = lst_0->tl, i_0 += 1) {
fx_str_t s_0 = {0};
fx_str_t s_1 = {0};
fx_str_t v_4 = {0};
fx_str_t* s_2 = &lst_0->hd;
bool v_5;
if (i_0 < n_0 - 1) {
v_5 = true;
}
else {
v_5 = _fx_M6StringFM8endswithB2SC(s0_0, (char_)10, 0);
}
if (v_5) {
fx_str_t slit_2 = FX_MAKE_STR("\n");
{
const fx_str_t strs_1[] = { *s_2, slit_2 };
FX_CALL(fx_strjoin(0, 0, 0, strs_1, 2, &s_0), _fx_catch_3);
}
}
else {
fx_copy_str(s_2, &s_0);
}
FX_CALL(_fx_M6StringFM7escapedS2SB(&s_0, true, &s_1, 0), _fx_catch_3);
if (i_0 == 0) {
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &s_1, 0), _fx_catch_3);
}
else {
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_3);
fx_str_t slit_3 = FX_MAKE_STR("U");
{
const fx_str_t strs_2[] = { slit_3, s_1 };
FX_CALL(fx_strjoin(0, 0, 0, strs_2, 2, &v_4), _fx_catch_3);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_4, 0), _fx_catch_3);
}
_fx_catch_3: ;
FX_FREE_STR(&v_4);
FX_FREE_STR(&s_1);
FX_FREE_STR(&s_0);
FX_CHECK_EXN(_fx_catch_4);
}
}
_fx_catch_4: ;
FX_FREE_STR(&v_3);
if (sl_0) {
_fx_free_LS(&sl_0);
}
}
else {
fx_str_t v_6 = {0};
FX_CALL(_fx_M6K_formFM8klit2strS3N14K_form__klit_tBR10Ast__loc_t(l_0, true, &vcase_1->t1.t1, &v_6, 0), _fx_catch_5);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_6, 0), _fx_catch_5);
_fx_catch_5: ;
FX_FREE_STR(&v_6);
}
FX_CHECK_EXN(_fx_catch_6);
_fx_catch_6: ;
goto _fx_endmatch_2;
}
if (tag_0 == 3) {
_fx_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* vcase_2 =
&e_0->u.CExpBinary;
_fx_N17C_form__cbinary_t* bop_0 = &vcase_2->t0;
if (bop_0->tag == 14) {
_fx_T3SiN13C_pp__assoc_t v_7 = {0};
FX_CALL(_fx_M4C_ppFM10binop2str_T3SiN13C_pp__assoc_t1N17C_form__cbinary_t(bop_0, &v_7, 0), _fx_catch_7);
int_ pr0_0 = v_7.t1;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_7);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_2->t1, pr0_0, 0), _fx_catch_7);
fx_str_t slit_4 = FX_MAKE_STR("[");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_4, 0), _fx_catch_7);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_7);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_2->t2, 0, 0), _fx_catch_7);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_7);
fx_str_t slit_5 = FX_MAKE_STR("]");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_5, 0), _fx_catch_7);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_7);
_fx_catch_7: ;
_fx_free_T3SiN13C_pp__assoc_t(&v_7);
goto _fx_endmatch_2;
}
}
if (tag_0 == 3) {
_fx_T3SiN13C_pp__assoc_t v_8 = {0};
fx_str_t bop_str_0 = {0};
_fx_T4N17C_form__cbinary_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* vcase_3 =
&e_0->u.CExpBinary;
_fx_N17C_form__cbinary_t* bop_1 = &vcase_3->t0;
FX_CALL(_fx_M4C_ppFM10binop2str_T3SiN13C_pp__assoc_t1N17C_form__cbinary_t(bop_1, &v_8, 0), _fx_catch_8);
fx_copy_str(&v_8.t0, &bop_str_0);
int_ pr0_1 = v_8.t1;
_fx_N13C_pp__assoc_t assoc_0 = v_8.t2;
bool use_br_0;
if (pr0_1 < pr_0) {
use_br_0 = true;
}
else {
int tag_2 = bop_1->tag;
bool res_0;
if (tag_2 == 8) {
res_0 = true;
}
else if (tag_2 == 9) {
res_0 = true;
}
else if (tag_2 == 10) {
res_0 = true;
}
else {
res_0 = false;
}
FX_CHECK_EXN(_fx_catch_8);
if (res_0) {
use_br_0 = true; goto _fx_endmatch_0;
}
use_br_0 = false;
_fx_endmatch_0: ;
FX_CHECK_EXN(_fx_catch_8);
}
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_8);
if (use_br_0) {
fx_str_t slit_6 = FX_MAKE_STR("(");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_6, 0), _fx_catch_8);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_8);
}
bool is_shift_0;
if (bop_1->tag == 6) {
is_shift_0 = true;
}
else {
is_shift_0 = bop_1->tag == 7;
}
int_ a_pr_0;
if (is_shift_0) {
a_pr_0 = 1350;
}
else if (assoc_0.tag == 1) {
a_pr_0 = pr0_1;
}
else {
a_pr_0 = pr0_1 + 1;
}
int_ b_pr_0;
if (is_shift_0) {
b_pr_0 = 1350;
}
else if (assoc_0.tag == 2) {
b_pr_0 = pr0_1;
}
else {
b_pr_0 = pr0_1 + 1;
}
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_3->t1, a_pr_0, 0), _fx_catch_8);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_8);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &bop_str_0, 0), _fx_catch_8);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_8);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_3->t2, b_pr_0, 0), _fx_catch_8);
if (use_br_0) {
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_8);
fx_str_t slit_7 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_7, 0), _fx_catch_8);
}
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_8);
_fx_catch_8: ;
FX_FREE_STR(&bop_str_0);
_fx_free_T3SiN13C_pp__assoc_t(&v_8);
goto _fx_endmatch_2;
}
if (tag_0 == 4) {
_fx_T3SiN13C_pp__assoc_t v_9 = {0};
fx_str_t uop_str_0 = {0};
_fx_T3N16C_form__cunary_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* vcase_4 = &e_0->u.CExpUnary;
_fx_N14C_form__cexp_t e_1 = vcase_4->t1;
_fx_N16C_form__cunary_t* uop_0 = &vcase_4->t0;
FX_CALL(_fx_M4C_ppFM9unop2str_T3SiN13C_pp__assoc_t1N16C_form__cunary_t(uop_0, &v_9, 0), _fx_catch_11);
fx_copy_str(&v_9.t0, &uop_str_0);
int_ pr0_2 = v_9.t1;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_11);
if (pr0_2 < pr_0) {
fx_str_t slit_8 = FX_MAKE_STR("(");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_8, 0), _fx_catch_11);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_11);
}
int tag_3 = uop_0->tag;
bool res_1;
if (tag_3 == 9) {
res_1 = true;
}
else if (tag_3 == 10) {
res_1 = true;
}
else {
res_1 = false;
}
FX_CHECK_EXN(_fx_catch_11);
if (res_1) {
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e_1, pr0_2, 0), _fx_catch_9);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &uop_str_0, 0), _fx_catch_9);
_fx_catch_9: ;
goto _fx_endmatch_1;
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &uop_str_0, 0), _fx_catch_10);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e_1, pr0_2, 0), _fx_catch_10);
_fx_catch_10: ;
_fx_endmatch_1: ;
FX_CHECK_EXN(_fx_catch_11);
if (pr0_2 < pr_0) {
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_11);
fx_str_t slit_9 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_9, 0), _fx_catch_11);
}
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_11);
_fx_catch_11: ;
FX_FREE_STR(&uop_str_0);
_fx_free_T3SiN13C_pp__assoc_t(&v_9);
goto _fx_endmatch_2;
}
if (tag_0 == 5) {
_fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* vcase_5 = &e_0->u.CExpMem;
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_5->t0, 1400, 0), _fx_catch_12);
fx_str_t slit_10 = FX_MAKE_STR(".");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_10, 0), _fx_catch_12);
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &vcase_5->t1, &vcase_5->t2.t1, 0), _fx_catch_12);
_fx_catch_12: ;
goto _fx_endmatch_2;
}
if (tag_0 == 6) {
_fx_T3N14C_form__cexp_tR9Ast__id_tT2N14C_form__ctyp_tR10Ast__loc_t* vcase_6 = &e_0->u.CExpArrow;
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_6->t0, 1400, 0), _fx_catch_13);
fx_str_t slit_11 = FX_MAKE_STR("->");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_11, 0), _fx_catch_13);
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &vcase_6->t1, &vcase_6->t2.t1, 0), _fx_catch_13);
_fx_catch_13: ;
goto _fx_endmatch_2;
}
if (tag_0 == 7) {
_fx_T3N14C_form__cexp_tN14C_form__ctyp_tR10Ast__loc_t* vcase_7 = &e_0->u.CExpCast;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_14);
fx_str_t slit_12 = FX_MAKE_STR("(");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_12, 0), _fx_catch_14);
FX_CALL(
_fx_M4C_ppFM8pp_ctyp_v4R5PP__tN14C_form__ctyp_tNt6option1R9Ast__id_tR10Ast__loc_t(pp_0, vcase_7->t1,
&_fx_g10C_pp__None, &vcase_7->t2, 0), _fx_catch_14);
fx_str_t slit_13 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_13, 0), _fx_catch_14);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_14);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_7->t0, 1301, 0), _fx_catch_14);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_14);
_fx_catch_14: ;
goto _fx_endmatch_2;
}
if (tag_0 == 8) {
_fx_T4N14C_form__cexp_tN14C_form__cexp_tN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* vcase_8 = &e_0->u.CExpTernary;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_15);
if (200 < pr_0) {
fx_str_t slit_14 = FX_MAKE_STR("(");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_14, 0), _fx_catch_15);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_15);
}
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_8->t0, 0, 0), _fx_catch_15);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_15);
fx_str_t slit_15 = FX_MAKE_STR("?");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_15, 0), _fx_catch_15);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_15);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_8->t1, 0, 0), _fx_catch_15);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_15);
fx_str_t slit_16 = FX_MAKE_STR(":");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_16, 0), _fx_catch_15);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_15);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_8->t2, 0, 0), _fx_catch_15);
if (200 < pr_0) {
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_15);
fx_str_t slit_17 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_17, 0), _fx_catch_15);
}
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_15);
_fx_catch_15: ;
goto _fx_endmatch_2;
}
if (tag_0 == 9) {
_fx_T3N14C_form__cexp_tLN14C_form__cexp_tT2N14C_form__ctyp_tR10Ast__loc_t* vcase_9 = &e_0->u.CExpCall;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_16);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_9->t0, 1400, 0), _fx_catch_16);
fx_str_t slit_18 = FX_MAKE_STR("(");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_18, 0), _fx_catch_16);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_16);
FX_CALL(_fx_M4C_ppFM8pp_elistv2R5PP__tLN14C_form__cexp_t(pp_0, vcase_9->t1, 0), _fx_catch_16);
fx_str_t slit_19 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_19, 0), _fx_catch_16);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_16);
_fx_catch_16: ;
goto _fx_endmatch_2;
}
if (tag_0 == 10) {
_fx_LN14C_form__cexp_t eseq_0 = 0;
_fx_LN14C_form__cexp_t eseq_1 = e_0->u.CExpInit.t0;
if (eseq_1 != 0) {
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_18);
fx_str_t slit_20 = FX_MAKE_STR("{");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_20, 0), _fx_catch_18);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_18);
int_ i_1 = 0;
FX_COPY_PTR(eseq_1, &eseq_0);
_fx_LN14C_form__cexp_t lst_1 = eseq_0;
for (; lst_1; lst_1 = lst_1->tl, i_1 += 1) {
_fx_N14C_form__cexp_t e_2 = lst_1->hd;
if (i_1 > 0) {
fx_str_t slit_21 = FX_MAKE_STR(",");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_21, 0), _fx_catch_17);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_17);
}
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e_2, 0, 0), _fx_catch_17);
_fx_catch_17: ;
FX_CHECK_EXN(_fx_catch_18);
}
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_18);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_18);
fx_str_t slit_22 = FX_MAKE_STR("}");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_22, 0), _fx_catch_18);
}
else {
fx_str_t slit_23 = FX_MAKE_STR("{0}"); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_23, 0), _fx_catch_18);
}
_fx_catch_18: ;
if (eseq_0) {
_fx_free_LN14C_form__cexp_t(&eseq_0);
}
goto _fx_endmatch_2;
}
if (tag_0 == 11) {
_fx_T2N14C_form__ctyp_tR10Ast__loc_t* vcase_10 = &e_0->u.CExpTyp;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_19);
FX_CALL(
_fx_M4C_ppFM8pp_ctyp_v4R5PP__tN14C_form__ctyp_tNt6option1R9Ast__id_tR10Ast__loc_t(pp_0, vcase_10->t0,
&_fx_g10C_pp__None, &vcase_10->t1, 0), _fx_catch_19);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_19);
_fx_catch_19: ;
goto _fx_endmatch_2;
}
if (tag_0 == 12) {
fx_str_t v_10 = {0};
fx_str_t v_11 = {0};
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_20);
FX_CALL(_fx_M6StringFM5stripS1S(&e_0->u.CExpCCode.t0, &v_10, 0), _fx_catch_20);
fx_str_t slit_24 = FX_MAKE_STR("\n");
fx_str_t slit_25 = FX_MAKE_STR("\n");
{
const fx_str_t strs_3[] = { slit_24, v_10, slit_25 };
FX_CALL(fx_strjoin(0, 0, 0, strs_3, 3, &v_11), _fx_catch_20);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_11, 0), _fx_catch_20);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_20);
_fx_catch_20: ;
FX_FREE_STR(&v_11);
FX_FREE_STR(&v_10);
goto _fx_endmatch_2;
}
FX_FAST_THROW(FX_EXN_NoMatchError, _fx_cleanup);
_fx_endmatch_2: ;
_fx_cleanup: ;
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM8pp_elistv2R5PP__tLN14C_form__cexp_t(
struct _fx_R5PP__t* pp_0,
struct _fx_LN14C_form__cexp_t_data_t* el_0,
void* fx_fv)
{
int fx_status = 0;
FX_CALL(fx_check_stack(), _fx_cleanup);
int_ i_0 = 0;
_fx_LN14C_form__cexp_t lst_0 = el_0;
for (; lst_0; lst_0 = lst_0->tl, i_0 += 1) {
_fx_N14C_form__cexp_t e_0 = lst_0->hd;
if (i_0 > 0) {
fx_str_t slit_0 = FX_MAKE_STR(",");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_0, 0), _fx_catch_0);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_0);
}
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e_0, 0, 0), _fx_catch_0);
_fx_catch_0: ;
FX_CHECK_EXN(_fx_cleanup);
}
_fx_cleanup: ;
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM14pprint_fun_hdrv5R5PP__tR9Ast__id_tBR10Ast__loc_tB(
struct _fx_R5PP__t* pp_0,
struct _fx_R9Ast__id_t* fname_0,
bool semicolon_0,
struct _fx_R10Ast__loc_t* loc_0,
bool fwd_mode_0,
void* fx_fv)
{
_fx_N15C_form__cinfo_t v_0 = {0};
_fx_R17C_form__cdeffun_t v_1 = {0};
fx_str_t cf_cname_0 = {0};
_fx_N14C_form__ctyp_t cf_rt_0 = 0;
_fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t cf_args_0 = 0;
fx_str_t v_2 = {0};
fx_str_t v_3 = {0};
int fx_status = 0;
FX_CALL(_fx_M6C_formFM6cinfo_N15C_form__cinfo_t2R9Ast__id_tR10Ast__loc_t(fname_0, loc_0, &v_0, 0), _fx_cleanup);
if (v_0.tag == 3) {
_fx_copy_R17C_form__cdeffun_t(&v_0.u.CFun->data, &v_1);
}
else {
fx_str_t v_4 = {0};
fx_str_t v_5 = {0};
fx_exn_t v_6 = {0};
FX_CALL(_fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(fname_0, loc_0, &v_4, 0), _fx_catch_0);
fx_str_t slit_0 = FX_MAKE_STR("the forward declaration of ");
fx_str_t slit_1 = FX_MAKE_STR(" does not reference a function");
{
const fx_str_t strs_0[] = { slit_0, v_4, slit_1 };
FX_CALL(fx_strjoin(0, 0, 0, strs_0, 3, &v_5), _fx_catch_0);
}
FX_CALL(_fx_M3AstFM11compile_errE2RM5loc_tS(loc_0, &v_5, &v_6, 0), _fx_catch_0);
FX_THROW(&v_6, false, _fx_catch_0);
_fx_catch_0: ;
fx_free_exn(&v_6);
FX_FREE_STR(&v_5);
FX_FREE_STR(&v_4);
}
FX_CHECK_EXN(_fx_cleanup);
_fx_R10Ast__loc_t cf_loc_0 = v_1.cf_loc;
_fx_R16Ast__fun_flags_t cf_flags_0 = v_1.cf_flags;
fx_copy_str(&v_1.cf_cname, &cf_cname_0);
FX_COPY_PTR(v_1.cf_rt, &cf_rt_0);
FX_COPY_PTR(v_1.cf_args, &cf_args_0);
FX_CALL(_fx_M2PPFM6beginvv1RM1t(pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_cleanup);
if (cf_flags_0.fun_flag_private) {
fx_str_t slit_2 = FX_MAKE_STR("static "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_2, 0), _fx_cleanup);
}
else {
fx_str_t slit_3 = FX_MAKE_STR("FX_EXTERN_C "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_3, 0), _fx_cleanup);
}
fx_str_t slit_4 = FX_MAKE_STR("");
fx_str_t slit_5 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_4, &slit_5, cf_rt_0,
&_fx_g10C_pp__None, false, &cf_loc_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &cf_cname_0, 0), _fx_cleanup);
fx_str_t slit_6 = FX_MAKE_STR("(");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_6, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_cleanup);
if (cf_args_0 == 0) {
fx_str_t slit_7 = FX_MAKE_STR("void");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_7, 0), _fx_catch_1);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_1);
_fx_catch_1: ;
}
else {
int_ nargs_0 = _fx_M4C_ppFM6lengthi1LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t(cf_args_0, 0);
int_ i_0 = 0;
_fx_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t lst_0 = cf_args_0;
for (; lst_0; lst_0 = lst_0->tl, i_0 += 1) {
_fx_N14C_form__ctyp_t t_0 = 0;
fx_str_t v_7 = {0};
_fx_T3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t* __pat___0 = &lst_0->hd;
_fx_R9Ast__id_t n_0 = __pat___0->t0;
FX_COPY_PTR(__pat___0->t1, &t_0);
bool last_0 = i_0 == nargs_0 - 1;
if (last_0) {
fx_str_t slit_8 = FX_MAKE_STR(""); fx_copy_str(&slit_8, &v_7);
}
else {
fx_str_t slit_9 = FX_MAKE_STR(","); fx_copy_str(&slit_9, &v_7);
}
_fx_Nt6option1R9Ast__id_t v_8;
_fx_M4C_ppFM4SomeNt6option1R9Ast__id_t1R9Ast__id_t(&n_0, &v_8);
fx_str_t slit_10 = FX_MAKE_STR("");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_10, &v_7, t_0,
&v_8, true, &cf_loc_0, 0), _fx_catch_2);
if (!last_0) {
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_2);
}
_fx_catch_2: ;
FX_FREE_STR(&v_7);
if (t_0) {
_fx_free_N14C_form__ctyp_t(&t_0);
}
FX_CHECK_EXN(_fx_catch_3);
}
_fx_catch_3: ;
}
FX_CHECK_EXN(_fx_cleanup);
if (semicolon_0) {
fx_str_t slit_11 = FX_MAKE_STR(";"); fx_copy_str(&slit_11, &v_2);
}
else {
fx_str_t slit_12 = FX_MAKE_STR(""); fx_copy_str(&slit_12, &v_2);
}
fx_str_t slit_13 = FX_MAKE_STR(")");
{
const fx_str_t strs_1[] = { slit_13, v_2 };
FX_CALL(fx_strjoin(0, 0, 0, strs_1, 2, &v_3), _fx_cleanup);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_3, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_cleanup);
_fx_cleanup: ;
_fx_free_N15C_form__cinfo_t(&v_0);
_fx_free_R17C_form__cdeffun_t(&v_1);
FX_FREE_STR(&cf_cname_0);
if (cf_rt_0) {
_fx_free_N14C_form__ctyp_t(&cf_rt_0);
}
if (cf_args_0) {
_fx_free_LT3R9Ast__id_tN14C_form__ctyp_tLN19C_form__carg_attr_t(&cf_args_0);
}
FX_FREE_STR(&v_2);
FX_FREE_STR(&v_3);
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM26pprint_cstmt_or_block_cboxv2R5PP__tN15C_form__cstmt_t(
struct _fx_R5PP__t* pp_0,
struct _fx_N15C_form__cstmt_t_data_t* s_0,
void* fx_fv)
{
_fx_LN15C_form__cstmt_t sl_0 = 0;
int fx_status = 0;
FX_CALL(fx_check_stack(), _fx_cleanup);
int tag_0 = FX_REC_VARIANT_TAG(s_0);
if (tag_0 == 7) {
FX_COPY_PTR(s_0->u.CStmtBlock.t0, &sl_0);
}
else if (tag_0 != 1) {
FX_CALL(_fx_cons_LN15C_form__cstmt_t(s_0, 0, true, &sl_0), _fx_catch_0); _fx_catch_0: ;
}
FX_CHECK_EXN(_fx_cleanup);
fx_str_t slit_0 = FX_MAKE_STR("{");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM6beginvv2RM1ti(pp_0, 0, 0), _fx_cleanup);
int_ i_0 = 0;
_fx_LN15C_form__cstmt_t lst_0 = sl_0;
for (; lst_0; lst_0 = lst_0->tl, i_0 += 1) {
_fx_N15C_form__cstmt_t s_1 = lst_0->hd;
if (i_0 > 0) {
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_1);
}
FX_CALL(_fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(pp_0, s_1, 0), _fx_catch_1);
_fx_catch_1: ;
FX_CHECK_EXN(_fx_cleanup);
}
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_cleanup);
fx_str_t slit_1 = FX_MAKE_STR("}");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_1, 0), _fx_cleanup);
_fx_cleanup: ;
if (sl_0) {
_fx_free_LN15C_form__cstmt_t(&sl_0);
}
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM21pprint_cstmt_as_blockv2R5PP__tN15C_form__cstmt_t(
struct _fx_R5PP__t* pp_0,
struct _fx_N15C_form__cstmt_t_data_t* s_0,
void* fx_fv)
{
_fx_LN15C_form__cstmt_t sl_0 = 0;
int fx_status = 0;
FX_CALL(fx_check_stack(), _fx_cleanup);
int tag_0 = FX_REC_VARIANT_TAG(s_0);
if (tag_0 == 7) {
FX_COPY_PTR(s_0->u.CStmtBlock.t0, &sl_0);
}
else if (tag_0 != 1) {
FX_CALL(_fx_cons_LN15C_form__cstmt_t(s_0, 0, true, &sl_0), _fx_catch_0); _fx_catch_0: ;
}
FX_CHECK_EXN(_fx_cleanup);
if (sl_0 == 0) {
fx_str_t slit_0 = FX_MAKE_STR("{}"); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_0, 0), _fx_catch_1); _fx_catch_1: ;
}
else {
FX_CALL(_fx_M2PPFM6beginvv1RM1t(pp_0, 0), _fx_catch_3);
fx_str_t slit_1 = FX_MAKE_STR("{");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_1, 0), _fx_catch_3);
int_ i_0 = 0;
_fx_LN15C_form__cstmt_t lst_0 = sl_0;
for (; lst_0; lst_0 = lst_0->tl, i_0 += 1) {
_fx_N15C_form__cstmt_t s_1 = lst_0->hd;
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_2);
FX_CALL(_fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(pp_0, s_1, 0), _fx_catch_2);
_fx_catch_2: ;
FX_CHECK_EXN(_fx_catch_3);
}
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_3);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_3);
fx_str_t slit_2 = FX_MAKE_STR("}");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_2, 0), _fx_catch_3);
_fx_catch_3: ;
}
_fx_cleanup: ;
if (sl_0) {
_fx_free_LN15C_form__cstmt_t(&sl_0);
}
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(
struct _fx_R5PP__t* pp_0,
struct _fx_N15C_form__cstmt_t_data_t* s_0,
void* fx_fv)
{
int fx_status = 0;
FX_CALL(fx_check_stack(), _fx_cleanup);
int tag_0 = FX_REC_VARIANT_TAG(s_0);
if (tag_0 == 1) {
fx_str_t slit_0 = FX_MAKE_STR("{}"); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_0, 0), _fx_catch_0); _fx_catch_0: ;
}
else if (tag_0 == 2) {
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &s_0->u.CComment.t0, 0), _fx_catch_1); _fx_catch_1: ;
}
else if (tag_0 == 3) {
_fx_N14C_form__cexp_t e_0 = s_0->u.CExp;
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e_0, 0, 0), _fx_catch_3);
if (FX_REC_VARIANT_TAG(e_0) != 12) {
fx_str_t slit_1 = FX_MAKE_STR(";"); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_1, 0), _fx_catch_2); _fx_catch_2: ;
}
FX_CHECK_EXN(_fx_catch_3);
_fx_catch_3: ;
}
else if (tag_0 == 4) {
fx_str_t slit_2 = FX_MAKE_STR("break;"); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_2, 0), _fx_catch_4); _fx_catch_4: ;
}
else if (tag_0 == 5) {
fx_str_t slit_3 = FX_MAKE_STR("continue;"); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_3, 0), _fx_catch_5); _fx_catch_5: ;
}
else if (tag_0 == 6) {
_fx_Nt6option1N14C_form__cexp_t* e_opt_0 = &s_0->u.CStmtReturn.t0;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_7);
fx_str_t slit_4 = FX_MAKE_STR("return");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_4, 0), _fx_catch_7);
if (e_opt_0->tag == 2) {
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_6);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e_opt_0->u.Some, 0, 0), _fx_catch_6);
_fx_catch_6: ;
}
FX_CHECK_EXN(_fx_catch_7);
fx_str_t slit_5 = FX_MAKE_STR(";");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_5, 0), _fx_catch_7);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_7);
_fx_catch_7: ;
}
else if (tag_0 == 7) {
FX_CALL(_fx_M4C_ppFM21pprint_cstmt_as_blockv2R5PP__tN15C_form__cstmt_t(pp_0, s_0, 0), _fx_catch_8); _fx_catch_8: ;
}
else if (tag_0 == 8) {
fx_str_t v_0 = {0};
fx_str_t nstr_0 = {0};
fx_str_t v_1 = {0};
fx_str_t v_2 = {0};
_fx_T2R9Ast__id_tN15C_form__cstmt_t* vcase_0 = &s_0->u.CStmtSync;
_fx_R9Ast__id_t* n_0 = &vcase_0->t0;
if (_fx_g12Options__opt.enable_openmp) {
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_9);
fx_str_t slit_6 = FX_MAKE_STR("#pragma omp critical");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_6, 0), _fx_catch_9);
bool v_3;
FX_CALL(_fx_M4C_ppFM6__ne__B2R9Ast__id_tR9Ast__id_t(n_0, &_fx_g9Ast__noid, &v_3, 0), _fx_catch_9);
if (v_3) {
FX_CALL(_fx_M3AstFM2ppS1RM4id_t(n_0, &v_0, 0), _fx_catch_9);
fx_str_t slit_7 = FX_MAKE_STR(".");
fx_str_t slit_8 = FX_MAKE_STR("__");
FX_CALL(_fx_M6StringFM7replaceS3SSS(&v_0, &slit_7, &slit_8, &nstr_0, 0), _fx_catch_9);
FX_CALL(_fx_M4C_ppFM6stringS1S(&nstr_0, &v_1, 0), _fx_catch_9);
fx_str_t slit_9 = FX_MAKE_STR(" (");
fx_str_t slit_10 = FX_MAKE_STR(")");
{
const fx_str_t strs_0[] = { slit_9, v_1, slit_10 };
FX_CALL(fx_strjoin(0, 0, 0, strs_0, 3, &v_2), _fx_catch_9);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_2, 0), _fx_catch_9);
}
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_9);
}
FX_CALL(_fx_M4C_ppFM21pprint_cstmt_as_blockv2R5PP__tN15C_form__cstmt_t(pp_0, vcase_0->t1, 0), _fx_catch_9);
_fx_catch_9: ;
FX_FREE_STR(&v_2);
FX_FREE_STR(&v_1);
FX_FREE_STR(&nstr_0);
FX_FREE_STR(&v_0);
}
else if (tag_0 == 9) {
_fx_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t* vcase_1 = &s_0->u.CStmtIf;
fx_str_t slit_11 = FX_MAKE_STR("if");
FX_CALL(
_fx_M4C_ppFM16print_cascade_ifv5SN14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR5PP__t(&slit_11, vcase_1->t0,
vcase_1->t1, vcase_1->t2, pp_0, 0), _fx_catch_10);
_fx_catch_10: ;
}
else if (tag_0 == 10) {
_fx_T2R9Ast__id_tR10Ast__loc_t* vcase_2 = &s_0->u.CStmtGoto;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_11);
fx_str_t slit_12 = FX_MAKE_STR("goto");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_12, 0), _fx_catch_11);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_11);
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &vcase_2->t0, &vcase_2->t1, 0), _fx_catch_11);
fx_str_t slit_13 = FX_MAKE_STR(";");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_13, 0), _fx_catch_11);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_11);
_fx_catch_11: ;
}
else if (tag_0 == 11) {
_fx_T2R9Ast__id_tR10Ast__loc_t* vcase_3 = &s_0->u.CStmtLabel;
FX_CALL(_fx_M2PPFM6breakuv1RM1t(pp_0, 0), _fx_catch_12);
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &vcase_3->t0, &vcase_3->t1, 0), _fx_catch_12);
fx_str_t slit_14 = FX_MAKE_STR(": ;");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_14, 0), _fx_catch_12);
_fx_catch_12: ;
}
else if (tag_0 == 12) {
_fx_T6Nt6option1N14C_form__ctyp_tLN14C_form__cexp_tNt6option1N14C_form__cexp_tLN14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t*
vcase_4 = &s_0->u.CStmtFor;
_fx_LN14C_form__cexp_t e3_0 = vcase_4->t3;
_fx_Nt6option1N14C_form__cexp_t* e2_opt_0 = &vcase_4->t2;
_fx_LN14C_form__cexp_t e1_0 = vcase_4->t1;
_fx_Nt6option1N14C_form__ctyp_t* t_opt_0 = &vcase_4->t0;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_17);
fx_str_t slit_15 = FX_MAKE_STR("for (");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_15, 0), _fx_catch_17);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_17);
if (e1_0 != 0) {
if (t_opt_0->tag == 2) {
FX_CALL(
_fx_M4C_ppFM8pp_ctyp_v4R5PP__tN14C_form__ctyp_tNt6option1R9Ast__id_tR10Ast__loc_t(pp_0, t_opt_0->u.Some,
&_fx_g10C_pp__None, &vcase_4->t5, 0), _fx_catch_13);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_13);
_fx_catch_13: ;
}
FX_CHECK_EXN(_fx_catch_14);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_14);
FX_CALL(_fx_M4C_ppFM8pp_elistv2R5PP__tLN14C_form__cexp_t(pp_0, e1_0, 0), _fx_catch_14);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_14);
_fx_catch_14: ;
}
FX_CHECK_EXN(_fx_catch_17);
fx_str_t slit_16 = FX_MAKE_STR(";");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_16, 0), _fx_catch_17);
if (e2_opt_0->tag == 2) {
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_15);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e2_opt_0->u.Some, 0, 0), _fx_catch_15);
_fx_catch_15: ;
}
FX_CHECK_EXN(_fx_catch_17);
fx_str_t slit_17 = FX_MAKE_STR(";");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_17, 0), _fx_catch_17);
if (e3_0 != 0) {
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_16);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_16);
FX_CALL(_fx_M4C_ppFM8pp_elistv2R5PP__tLN14C_form__cexp_t(pp_0, e3_0, 0), _fx_catch_16);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_16);
_fx_catch_16: ;
}
FX_CHECK_EXN(_fx_catch_17);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_17);
fx_str_t slit_18 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_18, 0), _fx_catch_17);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_17);
FX_CALL(_fx_M4C_ppFM26pprint_cstmt_or_block_cboxv2R5PP__tN15C_form__cstmt_t(pp_0, vcase_4->t4, 0), _fx_catch_17);
_fx_catch_17: ;
}
else if (tag_0 == 13) {
_fx_T3N14C_form__cexp_tN15C_form__cstmt_tR10Ast__loc_t* vcase_5 = &s_0->u.CStmtWhile;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_18);
fx_str_t slit_19 = FX_MAKE_STR("while (");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_19, 0), _fx_catch_18);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_18);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_5->t0, 0, 0), _fx_catch_18);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_18);
fx_str_t slit_20 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_20, 0), _fx_catch_18);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_18);
FX_CALL(_fx_M4C_ppFM26pprint_cstmt_or_block_cboxv2R5PP__tN15C_form__cstmt_t(pp_0, vcase_5->t1, 0), _fx_catch_18);
_fx_catch_18: ;
}
else if (tag_0 == 14) {
_fx_T3N15C_form__cstmt_tN14C_form__cexp_tR10Ast__loc_t* vcase_6 = &s_0->u.CStmtDoWhile;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_19);
fx_str_t slit_21 = FX_MAKE_STR("do");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_21, 0), _fx_catch_19);
FX_CALL(_fx_M4C_ppFM26pprint_cstmt_or_block_cboxv2R5PP__tN15C_form__cstmt_t(pp_0, vcase_6->t0, 0), _fx_catch_19);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_19);
fx_str_t slit_22 = FX_MAKE_STR("while (");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_22, 0), _fx_catch_19);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_19);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_6->t1, 0, 0), _fx_catch_19);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_19);
fx_str_t slit_23 = FX_MAKE_STR(");");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_23, 0), _fx_catch_19);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_19);
_fx_catch_19: ;
}
else if (tag_0 == 15) {
_fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t cases_0 = 0;
_fx_T3N14C_form__cexp_tLT2LN14C_form__cexp_tLN15C_form__cstmt_tR10Ast__loc_t* vcase_7 = &s_0->u.CStmtSwitch;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_25);
fx_str_t slit_24 = FX_MAKE_STR("switch (");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_24, 0), _fx_catch_25);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_25);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, vcase_7->t0, 0, 0), _fx_catch_25);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_25);
fx_str_t slit_25 = FX_MAKE_STR(") {");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_25, 0), _fx_catch_25);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_25);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_25);
FX_COPY_PTR(vcase_7->t1, &cases_0);
_fx_LT2LN14C_form__cexp_tLN15C_form__cstmt_t lst_0 = cases_0;
for (; lst_0; lst_0 = lst_0->tl) {
_fx_LN14C_form__cexp_t labels_0 = 0;
_fx_LN15C_form__cstmt_t code_0 = 0;
fx_str_t v_4 = {0};
fx_str_t v_5 = {0};
_fx_T2LN14C_form__cexp_tLN15C_form__cstmt_t* __pat___0 = &lst_0->hd;
FX_COPY_PTR(__pat___0->t0, &labels_0);
FX_COPY_PTR(__pat___0->t1, &code_0);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_24);
bool isdefault_0;
if (labels_0 == 0) {
fx_str_t slit_26 = FX_MAKE_STR("default:");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_26, 0), _fx_catch_20);
isdefault_0 = true;
_fx_catch_20: ;
}
else {
_fx_LN14C_form__cexp_t lst_1 = labels_0;
for (; lst_1; lst_1 = lst_1->tl) {
_fx_N14C_form__cexp_t l_0 = lst_1->hd;
fx_str_t slit_27 = FX_MAKE_STR("case ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_27, 0), _fx_catch_21);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, l_0, 0, 0), _fx_catch_21);
fx_str_t slit_28 = FX_MAKE_STR(":");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_28, 0), _fx_catch_21);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_21);
_fx_catch_21: ;
FX_CHECK_EXN(_fx_catch_22);
}
isdefault_0 = false;
_fx_catch_22: ;
}
FX_CHECK_EXN(_fx_catch_24);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_24);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_24);
FX_CALL(_fx_M2PPFM6beginvv1RM1t(pp_0, 0), _fx_catch_24);
int_ v_6;
FX_CALL(_fx_M4C_ppFM8length1_i1LN15C_form__cstmt_t(code_0, &v_6, 0), _fx_catch_24);
int_ t_0;
if (isdefault_0) {
t_0 = 0;
}
else {
t_0 = 1;
}
int_ codelen_0 = v_6 + t_0;
int_ i_0 = 0;
_fx_LN15C_form__cstmt_t lst_2 = code_0;
for (; lst_2; lst_2 = lst_2->tl, i_0 += 1) {
_fx_N15C_form__cstmt_t s_1 = lst_2->hd;
if (i_0 == 0) {
fx_str_t slit_29 = FX_MAKE_STR(" "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_29, 0), _fx_catch_23);
}
FX_CALL(_fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(pp_0, s_1, 0), _fx_catch_23);
if (i_0 < codelen_0 - 1) {
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_23);
}
_fx_catch_23: ;
FX_CHECK_EXN(_fx_catch_24);
}
if (isdefault_0) {
if (code_0 == 0) {
FX_CALL(_fx_F7__mul__S2Ci((char_)32, 3, &v_4, 0), _fx_catch_24);
fx_str_t slit_30 = FX_MAKE_STR(";");
{
const fx_str_t strs_1[] = { v_4, slit_30 };
FX_CALL(fx_strjoin(0, 0, 0, strs_1, 2, &v_5), _fx_catch_24);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_5, 0), _fx_catch_24);
}
}
else {
fx_str_t slit_31 = FX_MAKE_STR("break;"); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_31, 0), _fx_catch_24);
}
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_24);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_24);
_fx_catch_24: ;
FX_FREE_STR(&v_5);
FX_FREE_STR(&v_4);
if (code_0) {
_fx_free_LN15C_form__cstmt_t(&code_0);
}
if (labels_0) {
_fx_free_LN14C_form__cexp_t(&labels_0);
}
FX_CHECK_EXN(_fx_catch_25);
}
fx_str_t slit_32 = FX_MAKE_STR("}");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_32, 0), _fx_catch_25);
_fx_catch_25: ;
if (cases_0) {
_fx_free_LT2LN14C_form__cexp_tLN15C_form__cstmt_t(&cases_0);
}
}
else if (tag_0 == 16) {
_fx_N15C_form__cinfo_t v_7 = {0};
_fx_T4N14C_form__ctyp_tR9Ast__id_tNt6option1N14C_form__cexp_tR10Ast__loc_t* vcase_8 = &s_0->u.CDefVal;
_fx_R10Ast__loc_t* loc_0 = &vcase_8->t3;
_fx_Nt6option1N14C_form__cexp_t* e_opt_1 = &vcase_8->t2;
_fx_R9Ast__id_t* n_1 = &vcase_8->t1;
FX_CALL(_fx_M6C_formFM6cinfo_N15C_form__cinfo_t2R9Ast__id_tR10Ast__loc_t(n_1, loc_0, &v_7, 0), _fx_catch_27);
bool is_private_0;
if (v_7.tag == 2) {
is_private_0 = v_7.u.CVal.cv_flags.val_flag_private;
}
else {
is_private_0 = false;
}
FX_CHECK_EXN(_fx_catch_27);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_27);
if (is_private_0) {
fx_str_t slit_33 = FX_MAKE_STR("static");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_33, 0), _fx_catch_27);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_27);
}
_fx_Nt6option1R9Ast__id_t v_8;
_fx_M4C_ppFM4SomeNt6option1R9Ast__id_t1R9Ast__id_t(n_1, &v_8);
FX_CALL(
_fx_M4C_ppFM8pp_ctyp_v4R5PP__tN14C_form__ctyp_tNt6option1R9Ast__id_tR10Ast__loc_t(pp_0, vcase_8->t0, &v_8, loc_0, 0),
_fx_catch_27);
if (e_opt_1->tag == 2) {
fx_str_t slit_34 = FX_MAKE_STR(" =");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_34, 0), _fx_catch_26);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_26);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e_opt_1->u.Some, 0, 0), _fx_catch_26);
_fx_catch_26: ;
}
FX_CHECK_EXN(_fx_catch_27);
fx_str_t slit_35 = FX_MAKE_STR(";");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_35, 0), _fx_catch_27);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_27);
_fx_catch_27: ;
_fx_free_N15C_form__cinfo_t(&v_7);
}
else if (tag_0 == 17) {
_fx_LN15C_form__cstmt_t cf_body_0 = 0;
_fx_R17C_form__cdeffun_t* v_9 = &s_0->u.CDefFun->data;
_fx_R10Ast__loc_t cf_loc_0 = v_9->cf_loc;
FX_COPY_PTR(v_9->cf_body, &cf_body_0);
_fx_R9Ast__id_t cf_name_0 = v_9->cf_name;
FX_CALL(_fx_M4C_ppFM14pprint_fun_hdrv5R5PP__tR9Ast__id_tBR10Ast__loc_tB(pp_0, &cf_name_0, false, &cf_loc_0, false, 0),
_fx_catch_29);
FX_CALL(_fx_M2PPFM6beginvv1RM1t(pp_0, 0), _fx_catch_29);
fx_str_t slit_36 = FX_MAKE_STR("{");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_36, 0), _fx_catch_29);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_29);
int_ i_1 = 0;
_fx_LN15C_form__cstmt_t lst_3 = cf_body_0;
for (; lst_3; lst_3 = lst_3->tl, i_1 += 1) {
_fx_N15C_form__cstmt_t s_2 = lst_3->hd;
if (i_1 > 0) {
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_28);
}
FX_CALL(_fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(pp_0, s_2, 0), _fx_catch_28);
_fx_catch_28: ;
FX_CHECK_EXN(_fx_catch_29);
}
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_29);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_29);
fx_str_t slit_37 = FX_MAKE_STR("}");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_37, 0), _fx_catch_29);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_29);
_fx_catch_29: ;
if (cf_body_0) {
_fx_free_LN15C_form__cstmt_t(&cf_body_0);
}
}
else if (tag_0 == 19) {
_fx_N15C_form__cinfo_t v_10 = {0};
_fx_T2R9Ast__id_tR10Ast__loc_t* vcase_9 = &s_0->u.CDefForwardSym;
_fx_R10Ast__loc_t* cf_loc_1 = &vcase_9->t1;
_fx_R9Ast__id_t* cf_name_1 = &vcase_9->t0;
FX_CALL(_fx_M6C_formFM6cinfo_N15C_form__cinfo_t2R9Ast__id_tR10Ast__loc_t(cf_name_1, cf_loc_1, &v_10, 0), _fx_catch_33);
int tag_1 = v_10.tag;
if (tag_1 == 3) {
FX_CALL(_fx_M4C_ppFM14pprint_fun_hdrv5R5PP__tR9Ast__id_tBR10Ast__loc_tB(pp_0, cf_name_1, true, cf_loc_1, true, 0),
_fx_catch_30);
_fx_catch_30: ;
}
else if (tag_1 == 2) {
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_31);
fx_str_t slit_38 = FX_MAKE_STR("FX_EXTERN_C_VAL(");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_38, 0), _fx_catch_31);
FX_CALL(_fx_M2PPFM3cutv1RM1t(pp_0, 0), _fx_catch_31);
_fx_Nt6option1R9Ast__id_t v_11;
_fx_M4C_ppFM4SomeNt6option1R9Ast__id_t1R9Ast__id_t(cf_name_1, &v_11);
fx_str_t slit_39 = FX_MAKE_STR("");
fx_str_t slit_40 = FX_MAKE_STR(")");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_39, &slit_40,
v_10.u.CVal.cv_typ, &v_11, true, cf_loc_1, 0), _fx_catch_31);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_31);
_fx_catch_31: ;
}
else {
fx_str_t v_12 = {0};
fx_str_t v_13 = {0};
fx_str_t v_14 = {0};
fx_exn_t v_15 = {0};
FX_CALL(_fx_M6C_formFM7idc2strS2R9Ast__id_tR10Ast__loc_t(cf_name_1, cf_loc_1, &v_12, 0), _fx_catch_32);
FX_CALL(_fx_M4C_ppFM6stringS1S(&v_12, &v_13, 0), _fx_catch_32);
fx_str_t slit_41 = FX_MAKE_STR("the forward declaration of ");
fx_str_t slit_42 = FX_MAKE_STR(" does not reference a function or a value");
{
const fx_str_t strs_2[] = { slit_41, v_13, slit_42 };
FX_CALL(fx_strjoin(0, 0, 0, strs_2, 3, &v_14), _fx_catch_32);
}
FX_CALL(_fx_M3AstFM11compile_errE2RM5loc_tS(cf_loc_1, &v_14, &v_15, 0), _fx_catch_32);
FX_THROW(&v_15, false, _fx_catch_32);
_fx_catch_32: ;
fx_free_exn(&v_15);
FX_FREE_STR(&v_14);
FX_FREE_STR(&v_13);
FX_FREE_STR(&v_12);
}
FX_CHECK_EXN(_fx_catch_33);
_fx_catch_33: ;
_fx_free_N15C_form__cinfo_t(&v_10);
}
else if (tag_0 == 18) {
_fx_N14C_form__ctyp_t ct_typ_0 = 0;
_fx_R17C_form__cdeftyp_t* v_16 = &s_0->u.CDefTyp->data;
_fx_R10Ast__loc_t ct_loc_0 = v_16->ct_loc;
FX_COPY_PTR(v_16->ct_typ, &ct_typ_0);
_fx_R9Ast__id_t ct_name_0 = v_16->ct_name;
_fx_Nt6option1R9Ast__id_t v_17;
_fx_M4C_ppFM4SomeNt6option1R9Ast__id_t1R9Ast__id_t(&ct_name_0, &v_17);
fx_str_t slit_43 = FX_MAKE_STR("typedef ");
fx_str_t slit_44 = FX_MAKE_STR(";");
FX_CALL(
_fx_M4C_ppFM9pp_ctyp__v7R5PP__tSSN14C_form__ctyp_tNt6option1R9Ast__id_tBR10Ast__loc_t(pp_0, &slit_43, &slit_44,
ct_typ_0, &v_17, true, &ct_loc_0, 0), _fx_catch_34);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_34);
_fx_catch_34: ;
if (ct_typ_0) {
_fx_free_N14C_form__ctyp_t(&ct_typ_0);
}
}
else if (tag_0 == 20) {
_fx_T2R9Ast__id_tR10Ast__loc_t* vcase_10 = &s_0->u.CDefForwardTyp;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_35);
fx_str_t slit_45 = FX_MAKE_STR("struct ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_45, 0), _fx_catch_35);
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &vcase_10->t0, &vcase_10->t1, 0), _fx_catch_35);
fx_str_t slit_46 = FX_MAKE_STR(";");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_46, 0), _fx_catch_35);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_35);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_35);
_fx_catch_35: ;
}
else if (tag_0 == 21) {
_fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t cenum_members_0 = 0;
fx_str_t cenum_cname_0 = {0};
_fx_R18C_form__cdefenum_t* v_18 = &s_0->u.CDefEnum->data;
_fx_R10Ast__loc_t cenum_loc_0 = v_18->cenum_loc;
FX_COPY_PTR(v_18->cenum_members, &cenum_members_0);
fx_copy_str(&v_18->cenum_cname, &cenum_cname_0);
fx_str_t slit_47 = FX_MAKE_STR("typedef enum {");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_47, 0), _fx_catch_38);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_38);
FX_CALL(_fx_M2PPFM6beginvv1RM1t(pp_0, 0), _fx_catch_38);
int_ i_2 = 0;
_fx_LT2R9Ast__id_tNt6option1N14C_form__cexp_t lst_4 = cenum_members_0;
for (; lst_4; lst_4 = lst_4->tl, i_2 += 1) {
_fx_Nt6option1N14C_form__cexp_t e_opt_2 = {0};
_fx_T2R9Ast__id_tNt6option1N14C_form__cexp_t* __pat___1 = &lst_4->hd;
_fx_R9Ast__id_t n_2 = __pat___1->t0;
_fx_copy_Nt6option1N14C_form__cexp_t(&__pat___1->t1, &e_opt_2);
if (i_2 == 0) {
fx_str_t slit_48 = FX_MAKE_STR(" "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_48, 0), _fx_catch_37);
}
else {
fx_str_t slit_49 = FX_MAKE_STR(",");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_49, 0), _fx_catch_37);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_37);
}
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &n_2, &cenum_loc_0, 0), _fx_catch_37);
if (e_opt_2.tag == 2) {
fx_str_t slit_50 = FX_MAKE_STR("=");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_50, 0), _fx_catch_36);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e_opt_2.u.Some, 0, 0), _fx_catch_36);
_fx_catch_36: ;
}
FX_CHECK_EXN(_fx_catch_37);
_fx_catch_37: ;
_fx_free_Nt6option1N14C_form__cexp_t(&e_opt_2);
FX_CHECK_EXN(_fx_catch_38);
}
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_38);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_38);
fx_str_t slit_51 = FX_MAKE_STR("} ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_51, 0), _fx_catch_38);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &cenum_cname_0, 0), _fx_catch_38);
fx_str_t slit_52 = FX_MAKE_STR(";");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_52, 0), _fx_catch_38);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_38);
_fx_catch_38: ;
FX_FREE_STR(&cenum_cname_0);
if (cenum_members_0) {
_fx_free_LT2R9Ast__id_tNt6option1N14C_form__cexp_t(&cenum_members_0);
}
}
else if (tag_0 == 22) {
fx_str_t ci_cname_0 = {0};
fx_str_t v_19 = {0};
fx_str_t v_20 = {0};
fx_str_t vtbl_cname_0 = {0};
fx_str_t v_21 = {0};
fx_str_t v_22 = {0};
_fx_R23C_form__cdefinterface_t* v_23 = &s_0->u.CDefInterface->data;
_fx_R10Ast__loc_t ci_loc_0 = v_23->ci_loc;
_fx_R9Ast__id_t ci_vtbl_0 = v_23->ci_vtbl;
fx_copy_str(&v_23->ci_cname, &ci_cname_0);
FX_CALL(_fx_M2PPFM6beginvv1RM1t(pp_0, 0), _fx_catch_39);
FX_CALL(_fx_M4C_ppFM6stringS1S(&ci_cname_0, &v_19, 0), _fx_catch_39);
fx_str_t slit_53 = FX_MAKE_STR("typedef struct ");
fx_str_t slit_54 = FX_MAKE_STR(" {");
{
const fx_str_t strs_3[] = { slit_53, v_19, slit_54 };
FX_CALL(fx_strjoin(0, 0, 0, strs_3, 3, &v_20), _fx_catch_39);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_20, 0), _fx_catch_39);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_39);
FX_CALL(_fx_M6C_formFM13get_idc_cnameS2R9Ast__id_tR10Ast__loc_t(&ci_vtbl_0, &ci_loc_0, &vtbl_cname_0, 0), _fx_catch_39);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &vtbl_cname_0, 0), _fx_catch_39);
fx_str_t slit_55 = FX_MAKE_STR("* vtbl;");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_55, 0), _fx_catch_39);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_39);
fx_str_t slit_56 = FX_MAKE_STR("fx_object_t* obj;");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_56, 0), _fx_catch_39);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_39);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_39);
FX_CALL(_fx_M4C_ppFM6stringS1S(&ci_cname_0, &v_21, 0), _fx_catch_39);
fx_str_t slit_57 = FX_MAKE_STR("} ");
fx_str_t slit_58 = FX_MAKE_STR(";");
{
const fx_str_t strs_4[] = { slit_57, v_21, slit_58 };
FX_CALL(fx_strjoin(0, 0, 0, strs_4, 3, &v_22), _fx_catch_39);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_22, 0), _fx_catch_39);
FX_CALL(_fx_M2PPFM7newlinev1RM1t(pp_0, 0), _fx_catch_39);
_fx_catch_39: ;
FX_FREE_STR(&v_22);
FX_FREE_STR(&v_21);
FX_FREE_STR(&vtbl_cname_0);
FX_FREE_STR(&v_20);
FX_FREE_STR(&v_19);
FX_FREE_STR(&ci_cname_0);
}
else if (tag_0 == 23) {
_fx_LN15C_form__cstmt_t cm_body_0 = 0;
_fx_LR9Ast__id_t cm_args_0 = 0;
fx_str_t cm_cname_0 = {0};
_fx_R19C_form__cdefmacro_t* v_24 = &s_0->u.CMacroDef->data;
_fx_R10Ast__loc_t cm_loc_0 = v_24->cm_loc;
FX_COPY_PTR(v_24->cm_body, &cm_body_0);
FX_COPY_PTR(v_24->cm_args, &cm_args_0);
fx_copy_str(&v_24->cm_cname, &cm_cname_0);
fx_str_t slit_59 = FX_MAKE_STR("#define ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_59, 0), _fx_catch_44);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &cm_cname_0, 0), _fx_catch_44);
if (cm_args_0 != 0) {
fx_str_t slit_60 = FX_MAKE_STR("(");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_60, 0), _fx_catch_41);
int_ i_3 = 0;
_fx_LR9Ast__id_t lst_5 = cm_args_0;
for (; lst_5; lst_5 = lst_5->tl, i_3 += 1) {
_fx_R9Ast__id_t* a_0 = &lst_5->hd;
if (i_3 > 0) {
fx_str_t slit_61 = FX_MAKE_STR(", "); FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_61, 0), _fx_catch_40);
}
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, a_0, &cm_loc_0, 0), _fx_catch_40);
_fx_catch_40: ;
FX_CHECK_EXN(_fx_catch_41);
}
fx_str_t slit_62 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_62, 0), _fx_catch_41);
_fx_catch_41: ;
}
FX_CHECK_EXN(_fx_catch_44);
if (cm_body_0 != 0) {
_fx_LN15C_form__cstmt_t lst_6 = cm_body_0;
for (; lst_6; lst_6 = lst_6->tl) {
_fx_N15C_form__cstmt_t s_3 = lst_6->hd;
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_42);
fx_str_t slit_63 = FX_MAKE_STR("\\");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_63, 0), _fx_catch_42);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_42);
fx_str_t slit_64 = FX_MAKE_STR(" ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_64, 0), _fx_catch_42);
FX_CALL(_fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(pp_0, s_3, 0), _fx_catch_42);
_fx_catch_42: ;
FX_CHECK_EXN(_fx_catch_43);
}
_fx_catch_43: ;
}
FX_CHECK_EXN(_fx_catch_44);
_fx_catch_44: ;
FX_FREE_STR(&cm_cname_0);
FX_FREE_LIST_SIMPLE(&cm_args_0);
if (cm_body_0) {
_fx_free_LN15C_form__cstmt_t(&cm_body_0);
}
}
else if (tag_0 == 24) {
_fx_T2R9Ast__id_tR10Ast__loc_t* vcase_11 = &s_0->u.CMacroUndef;
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_45);
fx_str_t slit_65 = FX_MAKE_STR("#undef ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_65, 0), _fx_catch_45);
FX_CALL(_fx_M4C_ppFM5pp_idv3R5PP__tR9Ast__id_tR10Ast__loc_t(pp_0, &vcase_11->t0, &vcase_11->t1, 0), _fx_catch_45);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_45);
_fx_catch_45: ;
}
else if (tag_0 == 25) {
_fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t cs_l_0 = 0;
_fx_T3LT2N14C_form__cexp_tLN15C_form__cstmt_tLN15C_form__cstmt_tR10Ast__loc_t* vcase_12 = &s_0->u.CMacroIf;
_fx_LN15C_form__cstmt_t else_l_0 = vcase_12->t1;
int_ i_4 = 0;
FX_COPY_PTR(vcase_12->t0, &cs_l_0);
_fx_LT2N14C_form__cexp_tLN15C_form__cstmt_t lst_7 = cs_l_0;
for (; lst_7; lst_7 = lst_7->tl, i_4 += 1) {
_fx_N14C_form__cexp_t c_0 = 0;
_fx_LN15C_form__cstmt_t sl_0 = 0;
fx_str_t v_25 = {0};
_fx_T2N14C_form__cexp_tLN15C_form__cstmt_t* __pat___2 = &lst_7->hd;
FX_COPY_PTR(__pat___2->t0, &c_0);
FX_COPY_PTR(__pat___2->t1, &sl_0);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_47);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_47);
if (i_4 == 0) {
fx_str_t slit_66 = FX_MAKE_STR("#if "); fx_copy_str(&slit_66, &v_25);
}
else {
fx_str_t slit_67 = FX_MAKE_STR("#elif "); fx_copy_str(&slit_67, &v_25);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_25, 0), _fx_catch_47);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, c_0, 0, 0), _fx_catch_47);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_47);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_47);
_fx_LN15C_form__cstmt_t lst_8 = sl_0;
for (; lst_8; lst_8 = lst_8->tl) {
_fx_N15C_form__cstmt_t s_4 = lst_8->hd;
FX_CALL(_fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(pp_0, s_4, 0), _fx_catch_46);
_fx_catch_46: ;
FX_CHECK_EXN(_fx_catch_47);
}
_fx_catch_47: ;
FX_FREE_STR(&v_25);
if (sl_0) {
_fx_free_LN15C_form__cstmt_t(&sl_0);
}
if (c_0) {
_fx_free_N14C_form__cexp_t(&c_0);
}
FX_CHECK_EXN(_fx_catch_50);
}
if (else_l_0 != 0) {
_fx_LN15C_form__cstmt_t else_l_1 = 0;
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_49);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_49);
fx_str_t slit_68 = FX_MAKE_STR("#else");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_68, 0), _fx_catch_49);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_49);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_49);
FX_COPY_PTR(else_l_0, &else_l_1);
_fx_LN15C_form__cstmt_t lst_9 = else_l_1;
for (; lst_9; lst_9 = lst_9->tl) {
_fx_N15C_form__cstmt_t s_5 = lst_9->hd;
FX_CALL(_fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(pp_0, s_5, 0), _fx_catch_48);
_fx_catch_48: ;
FX_CHECK_EXN(_fx_catch_49);
}
_fx_catch_49: ;
if (else_l_1) {
_fx_free_LN15C_form__cstmt_t(&else_l_1);
}
}
FX_CHECK_EXN(_fx_catch_50);
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_50);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_50);
fx_str_t slit_69 = FX_MAKE_STR("#endif");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_69, 0), _fx_catch_50);
_fx_catch_50: ;
if (cs_l_0) {
_fx_free_LT2N14C_form__cexp_tLN15C_form__cstmt_t(&cs_l_0);
}
}
else if (tag_0 == 26) {
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_51);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_51);
fx_str_t slit_70 = FX_MAKE_STR("#include ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_70, 0), _fx_catch_51);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &s_0->u.CMacroInclude.t0, 0), _fx_catch_51);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_51);
_fx_catch_51: ;
}
else if (tag_0 == 27) {
FX_CALL(_fx_M2PPFM6break0v1RM1t(pp_0, 0), _fx_catch_52);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_52);
fx_str_t slit_71 = FX_MAKE_STR("#pragma ");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_71, 0), _fx_catch_52);
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &s_0->u.CMacroPragma.t0, 0), _fx_catch_52);
FX_CALL(_fx_M2PPFM3endv1RM1t(pp_0, 0), _fx_catch_52);
_fx_catch_52: ;
}
else {
FX_FAST_THROW(FX_EXN_NoMatchError, _fx_cleanup);
}
_fx_cleanup: ;
return fx_status;
}
static int _fx_M4C_ppFM16print_cascade_ifv5SN14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR5PP__t(
fx_str_t* prefix_0,
struct _fx_N14C_form__cexp_t_data_t* e_0,
struct _fx_N15C_form__cstmt_t_data_t* s1_0,
struct _fx_N15C_form__cstmt_t_data_t* s2_0,
struct _fx_R5PP__t* pp_0,
void* fx_fv)
{
fx_str_t prefix_1 = {0};
_fx_N14C_form__cexp_t e_1 = 0;
_fx_N15C_form__cstmt_t s1_1 = 0;
_fx_N15C_form__cstmt_t s2_1 = 0;
int fx_status = 0;
FX_CALL(fx_check_stack(), _fx_cleanup);
fx_copy_str(prefix_0, &prefix_1);
FX_COPY_PTR(e_0, &e_1);
FX_COPY_PTR(s1_0, &s1_1);
FX_COPY_PTR(s2_0, &s2_1);
for (;;) {
fx_str_t prefix_2 = {0};
_fx_N14C_form__cexp_t e_2 = 0;
_fx_N15C_form__cstmt_t s1_2 = 0;
_fx_N15C_form__cstmt_t s2_2 = 0;
fx_str_t v_0 = {0};
fx_copy_str(&prefix_1, &prefix_2);
FX_COPY_PTR(e_1, &e_2);
FX_COPY_PTR(s1_1, &s1_2);
FX_COPY_PTR(s2_1, &s2_2);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_3);
fx_str_t slit_0 = FX_MAKE_STR(" (");
{
const fx_str_t strs_0[] = { prefix_2, slit_0 };
FX_CALL(fx_strjoin(0, 0, 0, strs_0, 2, &v_0), _fx_catch_3);
}
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &v_0, 0), _fx_catch_3);
FX_CALL(_fx_M4C_ppFM8pp_cexp_v3R5PP__tN14C_form__cexp_ti(pp_0, e_2, 0, 0), _fx_catch_3);
fx_str_t slit_1 = FX_MAKE_STR(")");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_1, 0), _fx_catch_3);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_3);
FX_CALL(_fx_M4C_ppFM26pprint_cstmt_or_block_cboxv2R5PP__tN15C_form__cstmt_t(pp_0, s1_2, 0), _fx_catch_3);
int tag_0 = FX_REC_VARIANT_TAG(s2_2);
bool res_0;
if (tag_0 == 1) {
res_0 = true; goto _fx_endmatch_0;
}
if (tag_0 == 7) {
if (s2_2->u.CStmtBlock.t0 == 0) {
res_0 = true; goto _fx_endmatch_0;
}
}
res_0 = false;
_fx_endmatch_0: ;
FX_CHECK_EXN(_fx_catch_3);
if (res_0) {
FX_BREAK(_fx_catch_0); _fx_catch_0: ; goto _fx_endmatch_1;
}
if (tag_0 == 9) {
_fx_T4N14C_form__cexp_tN15C_form__cstmt_tN15C_form__cstmt_tR10Ast__loc_t* vcase_0 = &s2_2->u.CStmtIf;
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_1);
fx_str_t slit_2 = FX_MAKE_STR("else if");
FX_FREE_STR(&prefix_1);
fx_copy_str(&slit_2, &prefix_1);
_fx_N14C_form__cexp_t* e__0 = &vcase_0->t0;
_fx_free_N14C_form__cexp_t(&e_1);
FX_COPY_PTR(*e__0, &e_1);
_fx_N15C_form__cstmt_t* s1__0 = &vcase_0->t1;
_fx_free_N15C_form__cstmt_t(&s1_1);
FX_COPY_PTR(*s1__0, &s1_1);
_fx_N15C_form__cstmt_t* s2__0 = &vcase_0->t2;
_fx_free_N15C_form__cstmt_t(&s2_1);
FX_COPY_PTR(*s2__0, &s2_1);
_fx_catch_1: ;
goto _fx_endmatch_1;
}
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_2);
FX_CALL(_fx_M2PPFM5beginv1RM1t(pp_0, 0), _fx_catch_2);
fx_str_t slit_3 = FX_MAKE_STR("else");
FX_CALL(_fx_M2PPFM3strv2RM1tS(pp_0, &slit_3, 0), _fx_catch_2);
FX_CALL(_fx_M2PPFM5spacev1RM1t(pp_0, 0), _fx_catch_2);
FX_CALL(_fx_M4C_ppFM26pprint_cstmt_or_block_cboxv2R5PP__tN15C_form__cstmt_t(pp_0, s2_2, 0), _fx_catch_2);
FX_BREAK(_fx_catch_2);
_fx_catch_2: ;
_fx_endmatch_1: ;
FX_CHECK_EXN(_fx_catch_3);
_fx_catch_3: ;
FX_FREE_STR(&v_0);
if (s2_2) {
_fx_free_N15C_form__cstmt_t(&s2_2);
}
if (s1_2) {
_fx_free_N15C_form__cstmt_t(&s1_2);
}
if (e_2) {
_fx_free_N14C_form__cexp_t(&e_2);
}
FX_FREE_STR(&prefix_2);
FX_CHECK_BREAK();
FX_CHECK_EXN(_fx_cleanup);
}
_fx_cleanup: ;
FX_FREE_STR(&prefix_1);
if (e_1) {
_fx_free_N14C_form__cexp_t(&e_1);
}
if (s1_1) {
_fx_free_N15C_form__cstmt_t(&s1_1);
}
if (s2_1) {
_fx_free_N15C_form__cstmt_t(&s2_1);
}
return fx_status;
}
FX_EXTERN_C int _fx_M4C_ppFM20pprint_top_to_stringS1LN15C_form__cstmt_t(
struct _fx_LN15C_form__cstmt_t_data_t* code_0,
fx_str_t* fx_result,
void* fx_fv)
{
_fx_R5PP__t pp_0 = {0};
_fx_LS all_lines_0 = 0;
int fx_status = 0;
FX_CALL(_fx_M2PPFM21pprint_to_string_listRM1t2ii(128, 3, &pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM6beginvv2RM1ti(&pp_0, 0, 0), _fx_cleanup);
int_ i_0 = 0;
_fx_LN15C_form__cstmt_t lst_0 = code_0;
for (; lst_0; lst_0 = lst_0->tl, i_0 += 1) {
_fx_N15C_form__cstmt_t s_0 = lst_0->hd;
if (i_0 != 0) {
FX_CALL(_fx_M2PPFM6break0v1RM1t(&pp_0, 0), _fx_catch_0);
}
FX_CALL(_fx_M4C_ppFM9pp_cstmt_v2R5PP__tN15C_form__cstmt_t(&pp_0, s_0, 0), _fx_catch_0);
_fx_catch_0: ;
FX_CHECK_EXN(_fx_cleanup);
}
FX_CALL(_fx_M2PPFM7newlinev1RM1t(&pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM3endv1RM1t(&pp_0, 0), _fx_cleanup);
FX_CALL(_fx_M2PPFM5flushv1RM1t(&pp_0, 0), _fx_cleanup);
_fx_FPLS0* f_0 = &pp_0.get_f;
FX_CALL(f_0->fp(&all_lines_0, f_0->fcv), _fx_cleanup);
fx_str_t slit_0 = FX_MAKE_STR("");
fx_str_t slit_1 = FX_MAKE_STR("\n");
fx_str_t slit_2 = FX_MAKE_STR("\n");
FX_CALL(_fx_F12join_embraceS4SSSLS(&slit_0, &slit_1, &slit_2, all_lines_0, fx_result, 0), _fx_cleanup);
_fx_cleanup: ;
_fx_free_R5PP__t(&pp_0);
if (all_lines_0) {
_fx_free_LS(&all_lines_0);
}
return fx_status;
}
FX_EXTERN_C int fx_init_C_pp(void)
{
int fx_status = 0;
return fx_status;
}
FX_EXTERN_C void fx_deinit_C_pp(void)
{
}
|
ejercicio3.c | #include <stdio.h>
#ifdef _OPENMP
#include <omp.h>
#else
#define omp_get_thread_num() 0
#endif
main(){
int i, n = 7;
int a[n], suma;
for (i=0; i<n; i++)
a[i] = i;
#pragma omp parallel
{
suma=5;
#pragma omp for
for(i=0; i<n; i++){
suma = suma + a[i];
printf("thread %d suma a[%d]/", omp_get_thread_num(), i);
}
printf("\n* thread %d suma= %d", omp_get_thread_num(), suma);
}
printf("\n");
}
|
imd_integrate.c |
/******************************************************************************
*
* IMD -- The ITAP Molecular Dynamics Program
*
* Copyright 1996-2011 Institute for Theoretical and Applied Physics,
* University of Stuttgart, D-70550 Stuttgart
*
******************************************************************************/
/******************************************************************************
*
* imd_integrate -- various md integrators
*
******************************************************************************/
/******************************************************************************
* $Revision$
* $Date$
******************************************************************************/
#include "imd.h"
//MYMOD
//#define ELECPRESS
//ENDOF MYMOD
/*****************************************************************************
*
* Basic NVE Integrator
*
*****************************************************************************/
#if defined(NVE) || defined(EPITAX)
void move_atoms_nve(void)
{
int k;
static int count = 0;
real tmp_f_max2=0.0;
real tmp_x_max2=0.0;
//MYMOD : Moechte auch pdecay ohne ttm nutzen!
#ifdef PDECAY
double a= 1.0/(ramp_end - ramp_start);
//HOTFIX fuer +/- y bnd
double ay0 =1.0/(ramp_y0max-ramp_y0min);
double ay1 =1.0/(ramp_y1max-ramp_y1min);
ay0*=ay0;
ay1*=ay1;
a*=a;
#endif
//ENDOF MYMOD
#ifdef DAMP
real tmp1, tmp2, tmp3, f, maxax, maxax2;
#endif
#ifdef BER
real cc;
#endif
#ifdef BER /* reproduce Ju Li's implementation of the Berendsen Thermostat */
cc = 1. - timestep/ tauber * ( ( 2.0 * tot_kin_energy / nactive+8.6174101569719990e-06) / (temperature+8.6174101569719990e-06) - 1. );
/* this would be the standard formula */
//cc = 1.+timestep/tauber*((temperature+8.6174101569719990e-06)/(2.0*tot_kin_energy/nactive+8.6174101569719990e-06)- 1. );
if (cc < 0.5) cc = 0.5;
else if (cc > 2.0) cc = 2.0;
cc=sqrt(cc);
#endif
/* epitax may call this routine for other ensembles,
in which case we do not reset tot_kin_energy */
if ((ensemble==ENS_NVE) || (ensemble==ENS_GLOK)) tot_kin_energy = 0.0;
fnorm = 0.0;
xnorm = 0.0;
pnorm = 0.0;
PxF = 0.0;
omega_E = 0.0;
#ifdef DAMP
n_damp = 0;
tot_kin_energy_damp = 0.0;
#endif
#ifdef SHOCK
if (do_press_calc) calc_pxavg();
#endif
/* loop over all cells */
#ifdef _OPENMP
#pragma omp parallel for reduction(+:tot_kin_energy,fnorm,omega_E,PxF,pnorm)
#endif
for (k=0; k<NCELLS; ++k) { /* loop over all cells */
int i,j, sort;
cell *p;
real kin_energie_1, kin_energie_2, tmp;
#ifdef UNIAX
real rot_energie_1, rot_energie_2;
real dot, norm;
vektor cross;
#endif
#ifdef RIGID
int satom;
real relmass;
#endif
#ifdef DAMP
real kin_energie_damp_1,kin_energie_damp_2,tmp2,rampedtemp,zeta_finnis;
#endif
p = CELLPTR(k);
#ifdef CLONE
for (i=0; i<p->n; i+=nclones)
for (j=1; j<nclones; j++) {
KRAFT(p,i+j,X) = KRAFT(p,i,X);
KRAFT(p,i+j,Y) = KRAFT(p,i,Y);
#ifndef TWOD
KRAFT(p,i+j,Z) = KRAFT(p,i,Z);
#endif
IMPULS(p,i+j,X) = IMPULS(p,i,X);
IMPULS(p,i+j,Y) = IMPULS(p,i,Y);
#ifndef TWOD
IMPULS(p,i+j,Z) = IMPULS(p,i,Z);
#endif
}
#endif /* CLONE */
#ifdef SX
#pragma vdir vector,nodep
#endif
for (i=0; i<p->n; ++i) { /* loop over all atoms in the cell */
#ifdef EPITAX
/* beam atoms are always integrated by NVE */
if ( (ensemble != ENS_NVE) &&
(NUMMER(p,i) <= epitax_sub_n) &&
(POTENG(p,i) <= epitax_ctrl * epitax_poteng_min) ) continue;
#endif
#ifndef DAMP
kin_energie_1 = SPRODN(IMPULS,p,i,IMPULS,p,i);
#endif
#ifdef UNIAX
rot_energie_1 = SPRODN(DREH_IMPULS,p,i,DREH_IMPULS,p,i);
#endif
sort = VSORTE(p,i);
#ifdef RIGID
if ( superatom[sort] > -1 ) {
satom = superatom[sort];
relmass = MASSE(p,i) / supermass[satom];
if ( (superrestrictions + satom)->x )
KRAFT(p,i,X) = superforce[satom].x * relmass;
if ( (superrestrictions + satom)->y )
KRAFT(p,i,Y) = superforce[satom].y * relmass;
#ifndef TWOD
if ( (superrestrictions + satom)->z )
KRAFT(p,i,Z) = superforce[satom].z * relmass;
#endif
}
#endif
#if defined(FBC) && !defined(RIGID)
/* give virtual particles their extra force */
KRAFT(p,i,X) += (fbc_forces + sort)->x;
KRAFT(p,i,Y) += (fbc_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (fbc_forces + sort)->z;
#endif
#endif
#if defined(FBC) && defined(BEND)
/* give virtual particles their extra force */
KRAFT(p,i,X) += (bend_forces + sort)->x;
KRAFT(p,i,Y) += (bend_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (bend_forces + sort)->z;
#endif
#endif
#ifdef LANGEVIN
if (VISCOUS_FRICTION(p,i)>1e-12){ //Langevin Thermostat, also uses the viscous daming part
real sigma = sqrt(24. * temperature * (VISCOUS_FRICTION(p,i)/timestep)/timestep * MASSE(p,i));
KRAFT(p,i,X) += ((drand48()-0.5)*sigma);
KRAFT(p,i,Y) += ((drand48()-0.5)*sigma);
KRAFT(p,i,Z) += ((drand48()-0.5)*sigma);
}
#endif
#ifdef VISCOUS
if (VISCOUS_FRICTION(p,i)>1e-12){ //Viscous damping
real sfric = VISCOUS_FRICTION(p,i)/timestep;
KRAFT(p,i,X) -= IMPULS(p,i,X)*sfric;
KRAFT(p,i,Y) -= IMPULS(p,i,Y)*sfric;
KRAFT(p,i,Z) -= IMPULS(p,i,Z)*sfric;
}
#endif
/* and set their force (->momentum) in restricted directions to 0 */
KRAFT(p,i,X) *= (restrictions + sort)->x;
KRAFT(p,i,Y) *= (restrictions + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) *= (restrictions + sort)->z;
#endif
#ifdef FNORM
fnorm += SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_f_max2 = MAX(SQR(KRAFT(p,i,X)),tmp_f_max2);
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Y)),tmp_f_max2);
#ifndef TWOD
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Z)),tmp_f_max2);
#endif
#endif
#ifdef EINSTEIN
omega_E += SPRODN(KRAFT,p,i,KRAFT,p,i) / MASSE(p,i);
#endif
// ****************************************************************************
#ifndef DAMP /* Normal NVE */
//MYMOD : Auch ohne ttm moechte ich pdecay nutzen koennen!
#ifdef PDECAY
if( ORT(p,i,X) > ramp_start )
#ifdef NRB
if(NRBBND(p,i)==0)
#endif
KRAFT(p,i,X) -= ( IMPULS(p,i,X)/MASSE(p,i)) * xipdecay * a * ( ORT(p,i,X) - ramp_start ) * ( ORT(p,i,X) - ramp_start );
#endif
//HOTIFX fuer +/- y bnd: wude bei 2d-sims. benutzt..brauche ich nun nicht mehr.
//ACHTUNG: Ablatiertes Material nicht kuehlen!
// if(ORT(p,i,X)>=pdecay_surfx)
// {
// if( ORT(p,i,Y) > ramp_y1min )
// KRAFT(p,i,Y) -= ( IMPULS(p,i,Y)/MASSE(p,i)) * xipdecay * ay1 * ( ORT(p,i,Y) - ramp_y1min ) * ( ORT(p,i,Y) - ramp_y1min );
// else if(ORT(p,i,Y)< ramp_y0max)
// KRAFT(p,i,Y) -= ( IMPULS(p,i,Y)/MASSE(p,i)) * xipdecay * ay0 * ( ramp_y0max -ORT(p,i,Y) ) * ( ramp_y0max-ORT(p,i,Y) );
// }
// #endif
//ENDOF MYMOD
//MYMOD
#ifdef NRB
if(NRBBND(p,i)==0) //d.h. in diesem Fall nur für nicht-bnd-atome das standart-schema.Für bnd-atome wird der impuls anders berechnet
{
IMPULS(p,i,X) += timestep * KRAFT(p,i,X);
IMPULS(p,i,Y) += timestep * KRAFT(p,i,Y);
IMPULS(p,i,Z) += timestep * KRAFT(p,i,Z);
}
#else //Standart
IMPULS(p,i,X) += timestep * KRAFT(p,i,X);
IMPULS(p,i,Y) += timestep * KRAFT(p,i,Y);
IMPULS(p,i,Z) += timestep * KRAFT(p,i,Z);
#endif
//ENDOF MYMOD
//standart-schema
/*
IMPULS(p,i,X) += timestep * KRAFT(p,i,X);
IMPULS(p,i,Y) += timestep * KRAFT(p,i,Y);
IMPULS(p,i,Z) += timestep * KRAFT(p,i,Z);
*/
// ******************************************************************************
#else /* Damping layers */
/* use a local thermostat: Finnis
We fix a temperature gradient from temp to zero
in the same way the damping constant is ramped up.
The mean temperature in the damping layers
has no meaning, only temperature of the inner part is output */
/* the stadium function for each atom could also be calculated
in forces_nbl to save time */
/* it is the users responsability that stadium.i / stadium2.i
is equal for all i */
maxax = MAX(MAX(stadium.x,stadium.y),stadium.z);
maxax2 = MAX(MAX(stadium2.x,stadium2.y),stadium2.z);
/* Calculate stadium function f */
tmp1 = (stadium2.x==0) ? 0 : SQR((ORT(p,i,X)-center.x)/(2.0*stadium2.x));
tmp2 = (stadium2.y==0) ? 0 : SQR((ORT(p,i,Y)-center.y)/(2.0*stadium2.y));
tmp3 = (stadium2.z==0) ? 0 : SQR((ORT(p,i,Z)-center.z)/(2.0*stadium2.z));
f = (tmp1+tmp2+tmp3-SQR(maxax / (2.0*maxax2)) ) /
(0.25 - SQR(maxax / (2.0*maxax2)) );
if (f<= 0.0) f = 0.0;
else if (f>1.0) f = 1.0;
/* we smooth the stadium function: to get a real bath tub !*/
DAMPF(p,i) = .5 * (1 + sin(-M_PI/2.0 + M_PI*f));
if (DAMPF(p,i) == 0.0) { /* take care of possible rounding errors ? */
kin_energie_1 = SPRODN(IMPULS,p,i,IMPULS,p,i);
IMPULS(p,i,X) += timestep * KRAFT(p,i,X);
IMPULS(p,i,Y) += timestep * KRAFT(p,i,Y);
#ifndef TWOD
IMPULS(p,i,Z) += timestep * KRAFT(p,i,Z);
#endif
kin_energie_2 = SPRODN(IMPULS,p,i,IMPULS,p,i);
tot_kin_energy += (kin_energie_1 + kin_energie_2) / (4 * MASSE(p,i));
}
else {
kin_energie_damp_1 = SPRODN(IMPULS,p,i,IMPULS,p,i);
tmp = kin_energie_damp_1 / MASSE(p,i); /* local temp */
tmp2 = (restrictions + sort)->x + (restrictions + sort)->y;
#ifndef TWOD
tmp2 += (restrictions + sort)->z;
#endif
n_damp += tmp2;
if (tmp2 != 0) tmp /= tmp2;
/* to account for restricted mobilities */
rampedtemp = (tmp2 !=0) ?
(tmp2/3.0 * damptemp * (1.0 - DAMPF(p,i))) : 0.0;
if(rampedtemp !=0.0) {
zeta_finnis = zeta_0 * (tmp-rampedtemp)
/ sqrt(SQR(tmp) + SQR(rampedtemp*delta_finnis)) * DAMPF(p,i);
}
else zeta_finnis = zeta_0;
/* new momenta */
IMPULS(p,i,X) += (-1.0*IMPULS(p,i,X) * zeta_finnis + KRAFT(p,i,X))
* timestep * (restrictions + sort)->x ;
IMPULS(p,i,Y) += (-1.0*IMPULS(p,i,Y) * zeta_finnis + KRAFT(p,i,Y))
* timestep * (restrictions + sort)->y;
#ifndef TWOD
IMPULS(p,i,Z) += (-1.0*IMPULS(p,i,Z) * zeta_finnis + KRAFT(p,i,Z))
* timestep * (restrictions + sort)->z;
#endif
kin_energie_damp_2 = SPRODN(IMPULS,p,i,IMPULS,p,i);
tot_kin_energy_damp += (kin_energie_damp_1 + kin_energie_damp_2)
/ (4.0 * MASSE(p,i)) ;
}
#endif /* DAMP */
#if defined (GLOK)|| defined(MIX)
/* "Global Convergence": */
/* like mik, just with the global force and momentum vectors */
/* change to velocity norm, change names later... */
PxF += SPRODN(IMPULS,p,i,KRAFT,p,i)/MASSE(p,i);
pnorm += SPRODN(IMPULS,p,i,IMPULS,p,i)/MASSE(p,i)/MASSE(p,i);
#ifdef MIX
/* global version of MIX with adaptive mixing */
/* 'turn' the velocities a little bit more along the forces... */
IMPULS(p,i,X) = (1.0-mix)*IMPULS(p,i,X) + mix * KRAFT(p,i,X)
* mixforcescalefac * MASSE(p,i);
IMPULS(p,i,Y) = (1.0-mix)*IMPULS(p,i,Y) + mix * KRAFT(p,i,Y)
* mixforcescalefac * MASSE(p,i);
IMPULS(p,i,Z) = (1.0-mix)*IMPULS(p,i,Z) + mix * KRAFT(p,i,Z)
* mixforcescalefac * MASSE(p,i);
#endif
#endif /* GLOK || MIX */
#ifdef UNIAX
dot = 2.0 * SPRODN(DREH_IMPULS,p,i,ACHSE,p,i);
DREH_IMPULS(p,i,X) += timestep * DREH_MOMENT(p,i,X)
- dot * ACHSE(p,i,X);
DREH_IMPULS(p,i,Y) += timestep * DREH_MOMENT(p,i,Y)
- dot * ACHSE(p,i,Y);
DREH_IMPULS(p,i,Z) += timestep * DREH_MOMENT(p,i,Z)
- dot * ACHSE(p,i,Z);
#endif
#ifndef DAMP
kin_energie_2 = SPRODN(IMPULS,p,i,IMPULS,p,i);
#endif
#ifdef UNIAX
rot_energie_2 = SPRODN(DREH_IMPULS,p,i,DREH_IMPULS,p,i);
#endif
#ifndef DAMP
tot_kin_energy += (kin_energie_1 + kin_energie_2) / (4 * MASSE(p,i));
#endif
#ifdef UNIAX
tot_kin_energy += (rot_energie_1 + rot_energie_2) / (4 * uniax_inert);
#endif
#ifdef BER
// if(steps%16==0)
{
IMPULS(p,i,X) *= cc;
IMPULS(p,i,Y) *= cc;
#ifndef TWOD
IMPULS(p,i,Z) *= cc;
#endif
}
#endif
// **********************************************************************+
/* new positions */
tmp = timestep / MASSE(p,i);
ORT(p,i,X) += tmp * IMPULS(p,i,X);
ORT(p,i,Y) += tmp * IMPULS(p,i,Y);
#ifndef TWOD
ORT(p,i,Z) += tmp * IMPULS(p,i,Z);
#endif
// ***********************************************************************
#ifdef RELAXINFO
xnorm += tmp * tmp * SPRODN(IMPULS,p,i,IMPULS,p,i);
/* determine the biggest force component */
tmp_x_max2 = MAX(SQR(tmp*IMPULS(p,i,X)),tmp_x_max2);
tmp_x_max2 = MAX(SQR(tmp*IMPULS(p,i,Y)),tmp_x_max2);
#ifndef TWOD
tmp_x_max2 = MAX(SQR(tmp*IMPULS(p,i,Z)),tmp_x_max2);
#endif
#endif
#ifdef SHOCK
if (shock_mode == 3 && steps > 0 ) {
if (ORT(p,i,X) > box_x.x) {
IMPULS(p,i,X) = -IMPULS(p,i,X);
ORT(p,i,X) = 2 * box_x.x - ORT(p,i,X);
}
}
if (shock_mode == 4) {
real rand = shock_speed_l * timestep * steps ;
if (ORT(p,i,X) < rand ) {
IMPULS(p,i,X) = -IMPULS(p,i,X) + 2 * shock_speed_l * MASSE(p,i);
ORT(p,i,X) = 2 * rand - ORT(p,i,X);
}
if (ORT(p,i,X) > box_x.x - rand ) {
IMPULS(p,i,X) = -IMPULS(p,i,X) - 2 * shock_speed_r * MASSE(p,i);
ORT(p,i,X) = 2 * ( box_x.x - rand ) - ORT(p,i,X);
}
}
#endif
#ifdef UNIAX
/* new molecular axes */
cross.x = DREH_IMPULS(p,i,Y) * ACHSE(p,i,Z)
- DREH_IMPULS(p,i,Z) * ACHSE(p,i,Y);
cross.y = DREH_IMPULS(p,i,Z) * ACHSE(p,i,X)
- DREH_IMPULS(p,i,X) * ACHSE(p,i,Z);
cross.z = DREH_IMPULS(p,i,X) * ACHSE(p,i,Y)
- DREH_IMPULS(p,i,Y) * ACHSE(p,i,X);
ACHSE(p,i,X) += timestep * cross.x / uniax_inert;
ACHSE(p,i,Y) += timestep * cross.y / uniax_inert;
ACHSE(p,i,Z) += timestep * cross.z / uniax_inert;
norm = SQRT( SPRODN(ACHSE,p,i,ACHSE,p,i) );
ACHSE(p,i,X) /= norm;
ACHSE(p,i,Y) /= norm;
ACHSE(p,i,Z) /= norm;
#endif
#ifdef STRESS_TENS
if (do_press_calc) {
#ifdef SHOCK
PRESSTENS(p,i,xx) += (IMPULS(p,i,X) - PXAVG(p,i)) *
(IMPULS(p,i,X) - PXAVG(p,i)) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += (IMPULS(p,i,X) - PXAVG(p,i)) *
IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,xy) += (IMPULS(p,i,X) - PXAVG(p,i)) *
IMPULS(p,i,Y) / MASSE(p,i);
#else /* not SHOCK */
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) / MASSE(p,i);
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) / MASSE(p,i);
#endif /* SHOCK */
}
#endif /* STRESS_TENS */
}
}
#ifdef MPI
{ /* add up results from different CPUs */
int nc = 0;
double tmpvec1[8], tmpvec2[8];
tmpvec1[nc++] = tot_kin_energy;
tmpvec1[nc++] = fnorm;
tmpvec1[nc++] = PxF;
tmpvec1[nc++] = omega_E;
tmpvec1[nc++] = pnorm;
tmpvec1[nc++] = xnorm;
#ifdef DAMP
tmpvec1[nc++] = tot_kin_energy_damp;
tmpvec1[nc++] = n_damp;
#endif
MPI_Allreduce( tmpvec1, tmpvec2, nc, REAL, MPI_SUM, cpugrid);
nc = 0;
tot_kin_energy = tmpvec2[nc++];
fnorm = tmpvec2[nc++];
PxF = tmpvec2[nc++];
omega_E = tmpvec2[nc++];
pnorm = tmpvec2[nc++];
xnorm = tmpvec2[nc++];
#ifdef DAMP
tot_kin_energy_damp = tmpvec2[nc++];
n_damp = tmpvec2[nc++];
#endif
}
#ifdef FNORM
MPI_Allreduce( &tmp_f_max2, &f_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#ifdef RELAXINFO
MPI_Allreduce( &tmp_x_max2, &x_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#else /* not MPI */
#ifdef FNORM
f_max2 = tmp_f_max2;
#endif
#ifdef RELAXINFO
x_max2 = tmp_x_max2;
#endif
#endif /* MPI */
#if defined (GLOK) || defined (MIX)
PxF /= (SQRT(fnorm) * SQRT(pnorm));
#endif
#ifdef AND
/* Andersen Thermostat -- Initialize the velocities now and then */
++count;
if ((tempintv!=0) && (0==count%tempintv)) maxwell(temperature);
#endif
}
#else
void move_atoms_nve(void)
{
if (myid==0)
error("the chosen ensemble NVE is not supported by this binary");
}
#endif
/*****************************************************************************
*
* Basic NVE Integrator with TTM (two temperature model), stripped of most other options
*
*****************************************************************************/
#if defined(TTM)
void move_atoms_ttm(void)
{
int k;
/* static int count = 0;*/
real tmpvec1[8], tmpvec2[8];
tot_kin_energy = 0.0;
#ifdef DEBUG
E_ph_auf_local = 0.0;
#endif /*DEBUG*/
//MYMOD
#ifdef ELECPRESS
double epressforce=0.0;
#endif
#ifdef PDECAY
double a= 1.0/(ramp_end - ramp_start);
a*=a;
//HOTFIX fuer +/- y bnd
#ifdef FDTD2D
double ay0 =1.0/(ramp_y0max-ramp_y0min);
double ay1 =1.0/(ramp_y1max-ramp_y1min);
ay0*=ay0;
ay1*=ay1;
#endif
#endif
omega_E = 0.0;
/* loop over all cells */
#ifdef _OPENMP
#pragma omp parallel for reduction(+:tot_kin_energy,omega_E)
#endif
for (k=0; k<NCELLS; ++k)
{ /* loop over all cells */
int i,j, sort;
int fd_i, fd_j, fd_k;
double fd_xi;
cell *p;
real kin_energie_1, kin_energie_2, tmp;
p = CELLPTR(k);
#ifndef TTM1D
fd_i=p->fd_cell_idx.x;
fd_j=p->fd_cell_idx.y;
fd_k=p->fd_cell_idx.z;
/* get coupling constant, if fd cell is inactive, no coupling */
fd_xi=(l1[fd_i][fd_j][fd_k].natoms>=fd_min_atoms)?(l1[fd_i][fd_j][fd_k].xi):(0.0);
#else
//fd_xi=(l1[fd_i].natoms >= fd_min_atoms) ? (l1[fd_i].xi):(0.0);
//Das funktioniert in diesem Fall nicht:
//z.B. kümmert sich proc 0 immer um die TTM-Zellen ganz links auch wenn dort keine atome sind
//gleichzeitig kann sich proc0 aber auch um außerhalb seines TTM-Bereichs kümmern...
//--> Brauche globales xi-array
//--> das geschieht in der schleife über atome weiter unten
//Dasselbe gilt für vcom.x,y,z
#endif
// MY MOD : DEBUG
// printf("proc:%d,steps:%d,i:%d,j:%d,k:%d,fd_xi:%e\n",myid,steps,fd_i,fd_j,fd_k,fd_xi);
for (i=0; i<p->n; ++i)
{ /* loop over all atoms in the cell */
#ifdef TTM1D
int i_global=0;
if(SORTE(p,i)==0)
{
i_global=(int) (ORT(p,i,X)/fd_h.x);
i_global=MIN(i_global,global_fd_dim.x-1);
i_global=MAX(i_global,0);
fd_xi=xiarr_global[i_global];
#ifdef ELECPRESS
epressforce=epress_deriv[i_global];
#endif
// if(NUMMER(p,i)==605)
// printf("kraft:%.4e, eforce:%.4e\n",KRAFT(p,i,X),epressforce);
}
else
{
fd_xi=0.0;
}
#ifdef VLATTICE
if(i_global >= last_active_cell_global)
fx_xi=0.0;
#ifdef ELECPRESS
epressforce=0.0;
#endif
#endif
#endif
#ifdef DEBUG
double delta_E_atom;
#endif
kin_energie_1 = SPRODN(IMPULS,p,i,IMPULS,p,i);
sort = VSORTE(p,i);
#if defined(FBC) /* give virtual particles their extra force */
KRAFT(p,i,X) += (fbc_forces + sort)->x;
KRAFT(p,i,Y) += (fbc_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (fbc_forces + sort)->z;
#endif
#endif
/* and set their force (->momentum) in restricted directions to 0 */
KRAFT(p,i,X) *= (restrictions + sort)->x;
KRAFT(p,i,Y) *= (restrictions + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) *= (restrictions + sort)->z;
#endif
#ifdef EINSTEIN
omega_E += SPRODN(KRAFT,p,i,KRAFT,p,i) / MASSE(p,i);
#endif
/* TTM: p += (F + xi*m*v_therm) * dt
* ********************************** */
//MYMOD: Pdecay (mode=3) an dieser stelle um zusaetzliche loop zu vermeiden
#ifdef PDECAY
if( ORT(p,i,X) > ramp_start )
{
#ifdef NRB
if(NRBBND(p,i)==0)
#endif
KRAFT(p,i,X) -= ( IMPULS(p,i,X)/MASSE(p,i)) * xipdecay * a * ( ORT(p,i,X) - ramp_start ) * ( ORT(p,i,X) - ramp_start );
}
#ifdef FDTD2D
//HOTIFX fuer +/- y bnd
//ACHTUNG: Ablatiertes Material nicht kuehlen!
if(ORT(p,i,X)>=pdecay_surfx)
{
if( ORT(p,i,Y) > ramp_y1min )
KRAFT(p,i,Y) -= ( IMPULS(p,i,Y)/MASSE(p,i)) * xipdecay * ay1 * ( ORT(p,i,Y) - ramp_y1min ) * ( ORT(p,i,Y) - ramp_y1min );
else if(ORT(p,i,Y)< ramp_y0max)
KRAFT(p,i,Y) -= ( IMPULS(p,i,Y)/MASSE(p,i)) * xipdecay * ay0 * ( ramp_y0max -ORT(p,i,Y) ) * ( ramp_y0max-ORT(p,i,Y) );
}
#endif
#endif
#ifdef NRB
if(NRBBND(p,i) == 0) //Nur nicht-bnd atome werden aufgeheizt!
{
#endif
#ifdef TTM1D
IMPULS(p,i,X) += timestep * ( KRAFT(p,i,X) + fd_xi * MASSE(p,i) * ( IMPULS(p,i,X)/MASSE(p,i) - vcomxglobal[i_global]) );
IMPULS(p,i,Y) += timestep * ( KRAFT(p,i,Y) + fd_xi * MASSE(p,i) * ( IMPULS(p,i,Y)/MASSE(p,i) - vcomyglobal[i_global]) );
IMPULS(p,i,Z) += timestep * ( KRAFT(p,i,Z) + fd_xi * MASSE(p,i) * ( IMPULS(p,i,Z)/MASSE(p,i) - vcomzglobal[i_global]) );
#ifdef ELECPRESS
IMPULS(p,i,X) -= timestep *epressforce;
#endif
#else
IMPULS(p,i,X) += timestep * ( KRAFT(p,i,X) + fd_xi * MASSE(p,i) * ( IMPULS(p,i,X)/MASSE(p,i) - l1[fd_i][fd_j][fd_k].vcomx) );
IMPULS(p,i,Y) += timestep * ( KRAFT(p,i,Y) + fd_xi * MASSE(p,i) * ( IMPULS(p,i,Y)/MASSE(p,i) - l1[fd_i][fd_j][fd_k].vcomy) );
IMPULS(p,i,Z) += timestep * ( KRAFT(p,i,Z) + fd_xi * MASSE(p,i) * ( IMPULS(p,i,Z)/MASSE(p,i) - l1[fd_i][fd_j][fd_k].vcomz) );
#endif
#ifdef NRB
}
#endif
/* MY MOD DEBUG */
//IMPULS(p,i,X)=0;
//IMPULS(p,i,Y)=0;
//IMPULS(p,i,Z)=0;
kin_energie_2 = SPRODN(IMPULS,p,i,IMPULS,p,i);
tot_kin_energy += (kin_energie_1 + kin_energie_2) / (4 * MASSE(p,i));
/* new positions */
tmp = timestep / MASSE(p,i);
/** MY MOD: DEBUG */
//printf("proc:%d,steps:%d,fx:%e,fy:%e,fz:%e\n",myid,steps,KRAFT(p,i,X),KRAFT(p,i,Y),KRAFT(p,i,Z));
ORT(p,i,X) += tmp * IMPULS(p,i,X);
ORT(p,i,Y) += tmp * IMPULS(p,i,Y);
ORT(p,i,Z) += tmp * IMPULS(p,i,Z);
#ifdef STRESS_TENS
if (do_press_calc) {
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) / MASSE(p,i);
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) / MASSE(p,i);
}
#endif /* STRESS_TENS */
}
}
#ifdef MPI
/* add up results from different CPUs */
tmpvec1[0] = tot_kin_energy;
tmpvec1[3] = omega_E;
#ifdef DEBUG
tmpvec1[7] = E_ph_auf_local;
#endif /*DEBUG*/
/* MPI_Allreduce( tmpvec1, tmpvec2, 5, REAL, MPI_SUM, cpugrid); */
MPI_Allreduce( tmpvec1, tmpvec2, 8, REAL, MPI_SUM, cpugrid);
tot_kin_energy = tmpvec2[0];
omega_E = tmpvec2[3];
#ifdef DEBUG
E_ph_auf += tmpvec2[7];
#endif /*DEBUG*/
#endif /* MPI */
}
#else
void move_atoms_ttm(void)
{
if (myid==0)
error("the chosen ensemble TTM is not supported by this binary");
}
#endif
/*****************************************************************************
*
* NVE Integrator with microconvergence relaxation
*
*****************************************************************************/
#ifdef MIK
void move_atoms_mik(void)
{
int k;
real tmpvec1[3], tmpvec2[3];
real tmp_f_max2=0.0;
real tmp_x_max2=0.0;
real mass = 0.006084;
static int count = 0;
/* implementation of adaptive mik time step */
tot_kin_energy = 0.0;
fnorm = 0.0;
xnorm = 0.0;
// pnorm = 0.0;
#ifdef AND
/* Andersen Thermostat -- Initialize the velocities now and then */
++count;
if ((tempintv!=0) && (0==count%tempintv)) maxwell(temperature);
#endif
/* loop over all cells */
#ifdef _OPENMP
#pragma omp parallel for reduction(+:tot_kin_energy,fnorm)
#endif
for (k=0; k<NCELLS; ++k) {
int i, j, sort;
cell *p;
real kin_energie_1, kin_energie_2, tmp;
#ifdef RIGID
int satom;
real relmass;
#endif
p = CELLPTR(k);
#ifdef CLONE
for (i=0; i<p->n; i+=nclones)
for (j=1; j<nclones; j++) {
KRAFT(p,i+j,X) = KRAFT(p,i,X);
KRAFT(p,i+j,Y) = KRAFT(p,i,Y);
#ifndef TWOD
KRAFT(p,i+j,Z) = KRAFT(p,i,Z);
#endif
IMPULS(p,i+j,X) = IMPULS(p,i,X);
IMPULS(p,i+j,Y) = IMPULS(p,i,Y);
#ifndef TWOD
IMPULS(p,i+j,Z) = IMPULS(p,i,Z);
#endif
}
#endif /* CLONE */
#ifdef SX
#pragma vdir vector,nodep
#endif
for (i=0; i<p->n; ++i) {
#ifdef EPITAX
/* only substrate atoms are integrated by MIK */
if ( (NUMMER(p,i) > epitax_sub_n) &&
(POTENG(p,i) > epitax_ctrl * epitax_poteng_min) ) continue;
#endif
kin_energie_1 = SPRODN(IMPULS,p,i,IMPULS,p,i);
sort = VSORTE(p,i);
#ifdef RIGID
if ( superatom[sort] > -1 ) {
satom = superatom[sort];
relmass = MASSE(p,i) / supermass[satom];
if ( (superrestrictions + satom)->x )
KRAFT(p,i,X) = superforce[satom].x * relmass;
if ( (superrestrictions + satom)->y )
KRAFT(p,i,Y) = superforce[satom].y * relmass;
#ifndef TWOD
if ( (superrestrictions + satom)->z )
KRAFT(p,i,Z) = superforce[satom].z * relmass;
#endif
}
#endif
#if defined(FBC) && !defined(RIGID)
/* give virtual particles their extra force */
KRAFT(p,i,X) += (fbc_forces + sort)->x;
KRAFT(p,i,Y) += (fbc_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (fbc_forces + sort)->z;
#endif
#endif /* FBC */
/* and set their force (->momentum) in restricted directions to 0 */
KRAFT(p,i,X) *= (restrictions + sort)->x;
KRAFT(p,i,Y) *= (restrictions + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) *= (restrictions + sort)->z;
#endif
#ifdef FNORM
fnorm += SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_f_max2 = MAX(SQR(KRAFT(p,i,X)),tmp_f_max2);
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Y)),tmp_f_max2);
#ifndef TWOD
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Z)),tmp_f_max2);
#endif
#endif
IMPULS(p,i,X) += timestep * KRAFT(p,i,X);
IMPULS(p,i,Y) += timestep * KRAFT(p,i,Y);
#ifndef TWOD
IMPULS(p,i,Z) += timestep * KRAFT(p,i,Z);
#endif
/* Mikroconvergence Algorithm - set velocity zero if a*v < 0 */
if (0.0 > SPRODN(IMPULS,p,i,KRAFT,p,i) ) {
IMPULS(p,i,X) = 0.0;
IMPULS(p,i,Y) = 0.0;
#ifndef TWOD
IMPULS(p,i,Z) = 0.0;
#endif
} else { /* new positions */
tmp = timestep / MASSE(p,i);
ORT(p,i,X) += tmp * IMPULS(p,i,X);
ORT(p,i,Y) += tmp * IMPULS(p,i,Y);
#ifndef TWOD
ORT(p,i,Z) += tmp * IMPULS(p,i,Z);
#endif
}
#ifdef RELAXINFO
// pnorm += SPRODN(IMPULS,p,i,IMPULS,p,i)/MASSE(p,i)/MASSE(p,i);
xnorm += tmp * tmp* SPRODN(IMPULS,p,i,IMPULS,p,i);
/* determine the biggest force component */
tmp_x_max2 = MAX(SQR(tmp*IMPULS(p,i,X)),tmp_x_max2);
tmp_x_max2 = MAX(SQR(tmp*IMPULS(p,i,Y)),tmp_x_max2);
#ifndef TWOD
tmp_x_max2 = MAX(SQR(tmp*IMPULS(p,i,Z)),tmp_x_max2);
#endif
#endif
kin_energie_2 = SPRODN(IMPULS,p,i,IMPULS,p,i);
/* sum up kinetic energy on this CPU */
tot_kin_energy += (kin_energie_1 + kin_energie_2) / (4.0 * MASSE(p,i));
#ifdef STRESS_TENS
if (do_press_calc) {
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) / MASSE(p,i);
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) / MASSE(p,i);
}
#endif
}
}
#ifdef MPI
/* add up results from different CPUs */
tmpvec1[0] = tot_kin_energy;
tmpvec1[1] = fnorm;
tmpvec1[2] = xnorm;
MPI_Allreduce( tmpvec1, tmpvec2, 3, REAL, MPI_SUM, cpugrid);
tot_kin_energy = tmpvec2[0];
fnorm = tmpvec2[1];
xnorm = tmpvec2[2];
#ifdef FNORM
MPI_Allreduce( &tmp_f_max2, &f_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#ifdef RELAXINFO
MPI_Allreduce( &tmp_x_max2, &x_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#else
#ifdef FNORM
f_max2 = tmp_f_max2;
#endif
#ifdef RELAXINFO
x_max2 = tmp_x_max2;
#endif
#endif
}
#else
void move_atoms_mik(void)
{
if (myid==0)
error("the chosen ensemble MIK is not supported by this binary");
}
#endif
/*****************************************************************************
*
* NVT Integrator with Nose Hoover Thermostat
*
*****************************************************************************/
#ifdef NVT
void move_atoms_nvt(void)
{
int k;
real tmpvec1[6], tmpvec2[6], ttt;
real E_kin_1 = 0.0, E_kin_2 = 0.0;
real reibung, eins_d_reib;
real E_rot_1 = 0.0, E_rot_2 = 0.0;
real tmp_f_max2=0.0;
real tmp_x_max2=0.0;
#ifdef UNIAX
real reibung_rot, eins_d_reib_rot;
#endif
fnorm = 0.0;
omega_E = 0.0;
reibung = 1.0 - eta * timestep / 2.0;
eins_d_reib = 1.0 / (1.0 + eta * timestep / 2.0);
#ifdef UNIAX
reibung_rot = 1.0 - eta_rot * timestep / 2.0;
eins_d_reib_rot = 1.0 / (1.0 + eta_rot * timestep / 2.0);
#endif
#ifdef _OPENMP
#pragma omp parallel for reduction(+:E_kin_1,E_kin_2,E_rot_1,E_rot_2,fnorm,omega_E)
#endif
for (k=0; k<NCELLS; ++k) { /* loop over cells */
int i, j, sort;
cell *p;
real tmp;
#ifdef UNIAX
real dot, norm ;
vektor cross ;
#endif
#ifdef RIGID
int satom;
real relmass;
#endif
p = CELLPTR(k);
#ifdef CLONE
for (i=0; i<p->n; i+=nclones)
for (j=1; j<nclones; j++) {
KRAFT(p,i+j,X) = KRAFT(p,i,X);
KRAFT(p,i+j,Y) = KRAFT(p,i,Y);
#ifndef TWOD
KRAFT(p,i+j,Z) = KRAFT(p,i,Z);
#endif
IMPULS(p,i+j,X) = IMPULS(p,i,X);
IMPULS(p,i+j,Y) = IMPULS(p,i,Y);
#ifndef TWOD
IMPULS(p,i+j,Z) = IMPULS(p,i,Z);
#endif
}
#endif /* CLONE */
for (i=0; i<p->n; ++i) { /* loop over atoms */
#ifdef EPITAX
/* only substrate atoms are integrated by NVT */
if ( (NUMMER(p,i) > epitax_sub_n) &&
(POTENG(p,i) > epitax_ctrl * epitax_poteng_min) ) continue;
#endif
/* twice the old kinetic energy */
E_kin_1 += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
#ifdef UNIAX
E_rot_1 += SPRODN(DREH_IMPULS,p,i,DREH_IMPULS,p,i) / uniax_inert;
#endif
sort = VSORTE(p,i);
#ifdef RIGID
if ( superatom[sort] > -1 ) {
satom = superatom[sort];
relmass = MASSE(p,i) / supermass[satom];
if ( (superrestrictions + satom)->x )
KRAFT(p,i,X) = superforce[satom].x * relmass;
if ( (superrestrictions + satom)->y )
KRAFT(p,i,Y) = superforce[satom].y * relmass;
#ifndef TWOD
if ( (superrestrictions + satom)->z )
KRAFT(p,i,Z) = superforce[satom].z * relmass;
#endif
}
#endif
#if defined(FBC) && !defined(RIGID)
/* give virtual particles their extra force */
KRAFT(p,i,X) += (fbc_forces + sort)->x;
KRAFT(p,i,Y) += (fbc_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (fbc_forces + sort)->z;
#endif
#endif
#if defined(FBC) && defined(BEND)
/* give virtual particles their extra force */
KRAFT(p,i,X) += (bend_forces + sort)->x;
KRAFT(p,i,Y) += (bend_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (bend_forces + sort)->z;
#endif
#endif
KRAFT(p,i,X) *= (restrictions + sort)->x;
KRAFT(p,i,Y) *= (restrictions + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) *= (restrictions + sort)->z;
#endif
#ifdef FNORM
fnorm += SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_f_max2 = MAX(SQR(KRAFT(p,i,X)),tmp_f_max2);
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Y)),tmp_f_max2);
#ifndef TWOD
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Z)),tmp_f_max2);
#endif
#endif
#ifdef EINSTEIN
omega_E += SPRODN(KRAFT,p,i,KRAFT,p,i) / MASSE(p,i);
#endif
IMPULS(p,i,X) = (IMPULS(p,i,X) * reibung + timestep * KRAFT(p,i,X))
* eins_d_reib * (restrictions + sort)->x;
IMPULS(p,i,Y) = (IMPULS(p,i,Y) * reibung + timestep * KRAFT(p,i,Y))
* eins_d_reib * (restrictions + sort)->y;
#ifndef TWOD
IMPULS(p,i,Z) = (IMPULS(p,i,Z) * reibung + timestep * KRAFT(p,i,Z))
* eins_d_reib * (restrictions + sort)->z;
#endif
#ifdef UNIAX
/* new angular momenta */
dot = 2.0 * SPRODN(DREH_IMPULS,p,i,ACHSE,p,i);
DREH_IMPULS(p,i,X) = eins_d_reib_rot
* ( DREH_IMPULS(p,i,X) * reibung_rot
+ timestep * DREH_MOMENT(p,i,X) - dot * ACHSE(p,i,X) );
DREH_IMPULS(p,i,Y) = eins_d_reib_rot
* ( DREH_IMPULS(p,i,Y) * reibung_rot
+ timestep * DREH_MOMENT(p,i,Y) - dot * ACHSE(p,i,Y) );
DREH_IMPULS(p,i,Z) = eins_d_reib_rot
* ( DREH_IMPULS(p,i,Z) * reibung_rot
+ timestep * DREH_MOMENT(p,i,Z) - dot * ACHSE(p,i,Z) );
#endif
/* twice the new kinetic energy */
E_kin_2 += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
#ifdef UNIAX
E_rot_2 += SPRODN(DREH_IMPULS,p,i,DREH_IMPULS,p,i) / uniax_inert;
#endif
/* new positions */
tmp = timestep / MASSE(p,i);
ORT(p,i,X) += tmp * IMPULS(p,i,X);
ORT(p,i,Y) += tmp * IMPULS(p,i,Y);
#ifndef TWOD
ORT(p,i,Z) += tmp * IMPULS(p,i,Z);
#endif
#ifdef RELAXINFO
xnorm += tmp * tmp* SPRODN(IMPULS,p,i,IMPULS,p,i);
/* determine the biggest force component */
tmp_x_max2 = MAX(SQR(tmp*IMPULS(p,i,X)),tmp_x_max2);
tmp_x_max2 = MAX(SQR(tmp*IMPULS(p,i,Y)),tmp_x_max2);
#ifndef TWOD
tmp_x_max2 = MAX(SQR(tmp*IMPULS(p,i,Z)),tmp_x_max2);
#endif
#endif
#ifdef UNIAX
cross.x = DREH_IMPULS(p,i,Y) * ACHSE(p,i,Z)
- DREH_IMPULS(p,i,Z) * ACHSE(p,i,Y);
cross.y = DREH_IMPULS(p,i,Z) * ACHSE(p,i,X)
- DREH_IMPULS(p,i,X) * ACHSE(p,i,Z);
cross.z = DREH_IMPULS(p,i,X) * ACHSE(p,i,Y)
- DREH_IMPULS(p,i,Y) * ACHSE(p,i,X);
ACHSE(p,i,X) += timestep * cross.x / uniax_inert;
ACHSE(p,i,Y) += timestep * cross.y / uniax_inert;
ACHSE(p,i,Z) += timestep * cross.z / uniax_inert;
norm = SQRT( SPRODN(ACHSE,p,i,ACHSE,p,i) );
ACHSE(p,i,X) /= norm;
ACHSE(p,i,Y) /= norm;
ACHSE(p,i,Z) /= norm;
#endif
#ifdef STRESS_TENS
if (do_press_calc) {
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) / MASSE(p,i);
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) / MASSE(p,i);
}
#endif
}
}
#ifdef UNIAX
tot_kin_energy = ( E_kin_1 + E_kin_2 + E_rot_1 + E_rot_2 ) / 4.0;
#else
tot_kin_energy = ( E_kin_1 + E_kin_2 ) / 4.0;
#endif
#ifdef MPI
/* add up results from different CPUs */
tmpvec1[0] = tot_kin_energy;
tmpvec1[1] = E_kin_2;
tmpvec1[2] = E_rot_2;
tmpvec1[3] = fnorm;
tmpvec1[4] = omega_E;
tmpvec1[5] = xnorm;
MPI_Allreduce( tmpvec1, tmpvec2, 6, REAL, MPI_SUM, cpugrid);
tot_kin_energy = tmpvec2[0];
E_kin_2 = tmpvec2[1];
E_rot_2 = tmpvec2[2];
fnorm = tmpvec2[3];
omega_E = tmpvec2[4];
xnorm = tmpvec2[5];
#ifdef FNORM
MPI_Allreduce( &tmp_f_max2, &f_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#ifdef RELAXINFO
MPI_Allreduce( &tmp_x_max2, &x_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#else
#ifdef FNORM
f_max2 = tmp_f_max2;
#endif
#ifdef RELAXINFO
x_max2 = tmp_x_max2;
#endif
#endif /* MPI */
/* time evolution of constraints */
ttt = nactive * temperature;
eta += timestep * (E_kin_2 / ttt - 1.0) * isq_tau_eta;
#ifdef UNIAX
ttt = nactive_rot * temperature;
eta_rot += timestep * (E_rot_2 / ttt - 1.0) * isq_tau_eta_rot;
#endif
}
#else
void move_atoms_nvt(void)
{
if (myid==0)
error("the chosen ensemble NVT is not supported by this binary");
}
#endif
/*****************************************************************************
*
* NVT Integrator with Nose Hoover Thermostat and some shearing (?)
*
*****************************************************************************/
#ifdef SLLOD
void move_atoms_sllod(void)
{
int k;
real tmpvec1[4], tmpvec2[4], ttt;
real E_kin_1 = 0.0, E_kin_2 = 0.0;
vektor reibung, eins_d_reib;
real E_rot_1 = 0.0, E_rot_2 = 0.0;
real tmp_f_max2=0.0;
#ifdef UNIAX
real reibung_rot, eins_d_reib_rot;
#endif
fnorm = 0.0;
#ifdef TWOD
reibung.x = 1.0 - (eta+shear_rate.x) * timestep / 2.0;
eins_d_reib.x = 1.0 / (1.0 + (eta+shear_rate.x) * timestep / 2.0);
reibung.y = 1.0 - (eta+shear_rate.y) * timestep / 2.0;
eins_d_reib.y = 1.0 / (1.0 + (eta+shear_rate.y) * timestep / 2.0);
#else
reibung.x = 1.0 - (eta+shear_rate.z+shear_rate2.y) * timestep / 2.0;
eins_d_reib.x = 1.0 / (1.0 + (eta+shear_rate.z+shear_rate2.y) * timestep / 2.0);
reibung.y = 1.0 - (eta+shear_rate.x+shear_rate2.z) * timestep / 2.0;
eins_d_reib.y = 1.0 / (1.0 + (eta+shear_rate.x+shear_rate2.z) * timestep / 2.0);
reibung.z = 1.0 - (eta+shear_rate.y+shear_rate2.x) * timestep / 2.0;
eins_d_reib.z = 1.0 / (1.0 + (eta+shear_rate.y+shear_rate2.x) * timestep / 2.0);
#endif
#ifdef UNIAX
reibung_rot = 1.0 - eta_rot * timestep / 2.0;
eins_d_reib_rot = 1.0 / (1.0 + eta_rot * timestep / 2.0);
#endif
#ifdef _OPENMP
#pragma omp parallel for reduction(+:E_kin_1,E_kin_2,E_rot_1,E_rot_2,fnorm)
#endif
for (k=0; k<NCELLS; ++k) {
int i;
int sort;
cell *p;
real tmp;
#ifdef UNIAX
real dot, norm ;
vektor cross ;
#endif
p = CELLPTR(k);
for (i=0; i<p->n; ++i) {
/* twice the old kinetic energy */
E_kin_1 += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
#ifdef UNIAX
E_rot_1 += SPRODN(DREH_IMPULS,p,i,DREH_IMPULS,p,i) / uniax_inert;
#endif
sort = VSORTE(p,i);
#ifdef FBC
/* give virtual particles their extra force */
KRAFT(p,i,X) += (fbc_forces + sort)->x;
KRAFT(p,i,Y) += (fbc_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (fbc_forces + sort)->z;
#endif
#endif
KRAFT(p,i,X) *= (restrictions + sort)->x;
KRAFT(p,i,Y) *= (restrictions + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) *= (restrictions + sort)->z;
#endif
#ifdef FNORM
fnorm += SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_f_max2 = MAX(SQR(KRAFT(p,i,X)),tmp_f_max2);
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Y)),tmp_f_max2);
#ifndef TWOD
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Z)),tmp_f_max2);
#endif
#endif
IMPULS(p,i,X) = (IMPULS(p,i,X) * reibung.x + timestep * KRAFT(p,i,X))
* eins_d_reib.x * (restrictions + sort)->x;
IMPULS(p,i,Y) = (IMPULS(p,i,Y) * reibung.y + timestep * KRAFT(p,i,Y))
* eins_d_reib.y * (restrictions + sort)->y;
#ifndef TWOD
IMPULS(p,i,Z) = (IMPULS(p,i,Z) * reibung.z + timestep * KRAFT(p,i,Z))
* eins_d_reib.z * (restrictions + sort)->z;
#endif
#ifdef UNIAX
/* new angular momenta */
dot = 2.0 * SPRODN(DREH_IMPULS,p,i,ACHSE,p,i);
DREH_IMPULS(p,i,X) = eins_d_reib_rot
* ( DREH_IMPULS(p,i,X) * reibung_rot
+ timestep * DREH_MOMENT(p,i,X) - dot * ACHSE(p,i,X) );
DREH_IMPULS(p,i,Y) = eins_d_reib_rot
* ( DREH_IMPULS(p,i,Y) * reibung_rot
+ timestep * DREH_MOMENT(p,i,Y) - dot * ACHSE(p,i,Y) );
DREH_IMPULS(p,i,Z) = eins_d_reib_rot
* ( DREH_IMPULS(p,i,Z) * reibung_rot
+ timestep * DREH_MOMENT(p,i,Z) - dot * ACHSE(p,i,Z) );
#endif
/* twice the new kinetic energy */
E_kin_2 += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
#ifdef UNIAX
E_rot_2 += SPRODN(DREH_IMPULS,p,i,DREH_IMPULS,p,i) / uniax_inert;
#endif
/* new positions */
tmp = timestep / MASSE(p,i);
ORT(p,i,X) += tmp * IMPULS(p,i,X);
ORT(p,i,Y) += tmp * IMPULS(p,i,Y);
#ifndef TWOD
ORT(p,i,Z) += tmp * IMPULS(p,i,Z);
/* sllod specific */
ORT(p,i,X) += shear_rate.z * ORT(p,i,Y);
ORT(p,i,X) += shear_rate2.y * ORT(p,i,Z);
ORT(p,i,Y) += shear_rate.x * ORT(p,i,Z);
ORT(p,i,Y) += shear_rate2.z * ORT(p,i,X);
ORT(p,i,Z) += shear_rate.y * ORT(p,i,X);
ORT(p,i,Z) += shear_rate2.x * ORT(p,i,Y);
#else
ORT(p,i,X) += shear_rate.x * ORT(p,i,Y);
ORT(p,i,Y) += shear_rate.y * ORT(p,i,X);
#endif
#ifdef UNIAX
cross.x = DREH_IMPULS(p,i,Y) * ACHSE(p,i,Z)
- DREH_IMPULS(p,i,Z) * ACHSE(p,i,Y);
cross.y = DREH_IMPULS(p,i,Z) * ACHSE(p,i,X)
- DREH_IMPULS(p,i,X) * ACHSE(p,i,Z);
cross.z = DREH_IMPULS(p,i,X) * ACHSE(p,i,Y)
- DREH_IMPULS(p,i,Y) * ACHSE(p,i,X);
ACHSE(p,i,X) += timestep * cross.x / uniax_inert;
ACHSE(p,i,Y) += timestep * cross.y / uniax_inert;
ACHSE(p,i,Z) += timestep * cross.z / uniax_inert;
norm = SQRT( SPRODN(ACHSE,p,i,ACHSE,p,i) );
ACHSE(p,i,X) /= norm;
ACHSE(p,i,Y) /= norm;
ACHSE(p,i,Z) /= norm;
#endif
#ifdef STRESS_TENS
if (do_press_calc) {
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) / MASSE(p,i);
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) / MASSE(p,i);
}
#endif
}
}
#ifdef UNIAX
tot_kin_energy = ( E_kin_1 + E_kin_2 + E_rot_1 + E_rot_2 ) / 4.0;
#else
tot_kin_energy = ( E_kin_1 + E_kin_2 ) / 4.0;
#endif
#ifdef MPI
/* add up results from different CPUs */
tmpvec1[0] = tot_kin_energy;
tmpvec1[1] = E_kin_2;
tmpvec1[2] = E_rot_2;
tmpvec1[3] = fnorm;
MPI_Allreduce( tmpvec1, tmpvec2, 4, REAL, MPI_SUM, cpugrid);
tot_kin_energy = tmpvec2[0];
E_kin_2 = tmpvec2[1];
E_rot_2 = tmpvec2[2];
fnorm = tmpvec2[3];
#ifdef FNORM
MPI_Allreduce( &tmp_f_max2, &f_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#else
#ifdef FNORM
f_max2 = tmp_f_max2;
#endif
#endif
/* adjusting the box */
#ifdef TWOD
box_x.y += shear_rate.y*box_y.y;
box_y.x += shear_rate.x*box_x.x;
#else
box_y.x += shear_rate.z * box_y.y;
box_z.x += shear_rate2.y * box_z.z;
box_z.y += shear_rate.x * box_z.z;
box_x.y += shear_rate2.z * box_x.x;
box_x.z += shear_rate.y * box_x.x;
box_y.z += shear_rate2.x * box_y.y;
#endif
make_box();
/* time evolution of constraints */
ttt = nactive * temperature;
eta += timestep * (E_kin_2 / ttt - 1.0) * isq_tau_eta;
#ifdef UNIAX
ttt = nactive_rot * temperature;
eta_rot += timestep * (E_rot_2 / ttt - 1.0) * isq_tau_eta_rot;
#endif
}
#else
void move_atoms_sllod(void)
{
if (myid==0)
error("the chosen ensemble SLLOD is not supported by this binary");
}
#endif
#ifdef NPT
/******************************************************************************
*
* compute initial dynamical pressure
*
******************************************************************************/
void calc_dyn_pressure(void)
{
int k;
real tmpvec1[5], tmpvec2[5];
/* initialize data */
dyn_stress_x = 0.0;
dyn_stress_y = 0.0;
dyn_stress_z = 0.0;
Ekin_old = 0.0;
Erot_old = 0.0;
/* loop over all cells */
#ifdef _OPENMP
#pragma omp parallel for reduction(+:dyn_stress_x,dyn_stress_y,dyn_stress_z,Ekin_old,Erot_old)
#endif
for (k=0; k<NCELLS; ++k) {
int i;
cell *p;
real tmp;
p = CELLPTR(k);
/* loop over atoms in cell */
for (i=0; i<p->n; ++i) {
tmp = 1.0 / MASSE(p,i);
dyn_stress_x += IMPULS(p,i,X) * IMPULS(p,i,X) * tmp;
dyn_stress_y += IMPULS(p,i,Y) * IMPULS(p,i,Y) * tmp;
#ifndef TWOD
dyn_stress_z += IMPULS(p,i,Z) * IMPULS(p,i,Z) * tmp;
#endif
#ifdef UNIAX
Erot_old += SPRODN(DREH_IMPULS,p,i,DREH_IMPULS,p,i) / uniax_inert;
#endif
}
}
/* twice the kinetic energy */
Ekin_old = dyn_stress_x + dyn_stress_y;
#ifndef TWOD
Ekin_old += dyn_stress_z;
#endif
#ifdef MPI
/* add up results from different CPUs */
tmpvec1[0] = dyn_stress_x;
tmpvec1[1] = dyn_stress_y;
tmpvec1[2] = dyn_stress_z;
tmpvec1[3] = Ekin_old;
tmpvec1[4] = Erot_old;
MPI_Allreduce( tmpvec1, tmpvec2, 5, REAL, MPI_SUM, cpugrid);
dyn_stress_x = tmpvec2[0];
dyn_stress_y = tmpvec2[1];
dyn_stress_z = tmpvec2[2];
Ekin_old = tmpvec2[3];
Erot_old = tmpvec2[4];
#endif
}
#endif /* NPT */
/******************************************************************************
*
* NPT Integrator with Nose Hoover Thermostat
*
******************************************************************************/
#ifdef NPT_iso
void move_atoms_npt_iso(void)
{
int k;
real Ekin_new = 0.0, Erot_new = 0.0;
real pfric, pifric, rfric, rifric;
real tmpvec1[5], tmpvec2[5], ttt;
real reib, ireib;
real tmp_f_max2=0.0;
static real d_pressure;
PxF = 0.0;
#ifdef RELAXINFO
real tmp_x_max2=0.0;
real tmppnorm, tmpfnorm,tmportx,tmporty,tmportz;
xnorm = 0.0;
pnorm = 0.0;
#endif
if (steps == steps_min) {
calc_dyn_pressure();
if (isq_tau_xi==0.0) xi.x = 0.0;
}
fnorm = 0.0;
omega_E = 0.0;
#ifdef UNIAX
pressure = (0.6 * (Ekin_old + Erot_old) + virial) / (DIM * volume);
#else
pressure = (Ekin_old + virial) / (DIM * volume) ;
#endif
/* time evolution of xi */
xi_old.x = xi.x;
xi.x += timestep * (pressure-pressure_ext.x) * volume * isq_tau_xi / nactive;
/* some constants used later on */
pfric = 1.0 - (xi_old.x + eta) * timestep / 2.0;
pifric = 1.0 / (1.0 + (xi.x + eta) * timestep / 2.0);
rfric = 1.0 + (xi.x ) * timestep / 2.0;
rifric = 1.0 / (1.0 - (xi.x ) * timestep / 2.0);
#ifdef UNIAX
reib = 1.0 - eta_rot * timestep / 2.0;
ireib = 1.0 / (1.0 + eta_rot * timestep / 2.0);
#endif
/* loop over all cells */
#ifdef _OPENMP
#pragma omp parallel for reduction(+:Ekin_new,Erot_new,fnorm,omega_E)
#endif
for (k=0; k<NCELLS; ++k) {
int i, j;
cell *p;
real tmp;
#ifdef UNIAX
real dot, norm ;
vektor cross ;
#endif
p = CELLPTR(k);
#ifdef CLONE
for (i=0; i<p->n; i+=nclones)
for (j=1; j<nclones; j++) {
KRAFT(p,i+j,X) = KRAFT(p,i,X);
KRAFT(p,i+j,Y) = KRAFT(p,i,Y);
#ifndef TWOD
KRAFT(p,i+j,Z) = KRAFT(p,i,Z);
#endif
IMPULS(p,i+j,X) = IMPULS(p,i,X);
IMPULS(p,i+j,Y) = IMPULS(p,i,Y);
#ifndef TWOD
IMPULS(p,i+j,Z) = IMPULS(p,i,Z);
#endif
}
#endif /* CLONE */
for (i=0; i<p->n; ++i) {
#ifdef FNORM
fnorm += SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_f_max2 = MAX(SQR(KRAFT(p,i,X)),tmp_f_max2);
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Y)),tmp_f_max2);
#ifndef TWOD
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Z)),tmp_f_max2);
#endif
#endif
#ifdef EINSTEIN
omega_E += SPRODN(KRAFT,p,i,KRAFT,p,i) / MASSE(p,i);
#endif
#ifdef RELAXINFO
PxF += SPRODN(IMPULS,p,i,KRAFT,p,i)/MASSE(p,i);
pnorm += SPRODN(IMPULS,p,i,IMPULS,p,i)/MASSE(p,i)/MASSE(p,i);
#endif
/* new momenta */
IMPULS(p,i,X) = (pfric*IMPULS(p,i,X)+timestep*KRAFT(p,i,X))*pifric;
IMPULS(p,i,Y) = (pfric*IMPULS(p,i,Y)+timestep*KRAFT(p,i,Y))*pifric;
#ifndef TWOD
IMPULS(p,i,Z) = (pfric*IMPULS(p,i,Z)+timestep*KRAFT(p,i,Z))*pifric;
#endif
#ifdef UNIAX
/* new angular momenta */
dot = 2.0 * SPRODN(DREH_IMPULS,p,i,ACHSE,p,i);
DREH_IMPULS(p,i,X) = ireib * ( DREH_IMPULS(p,i,X) * reib
+ timestep * DREH_MOMENT(p,i,X) - dot * ACHSE(p,i,X) );
DREH_IMPULS(p,i,Y) = ireib * ( DREH_IMPULS(p,i,Y) * reib
+ timestep * DREH_MOMENT(p,i,Y) - dot * ACHSE(p,i,Y) );
DREH_IMPULS(p,i,Z) = ireib * ( DREH_IMPULS(p,i,Z) * reib
+ timestep * DREH_MOMENT(p,i,Z) - dot * ACHSE(p,i,Z) );
#endif
/* twice the new kinetic energy */
Ekin_new += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
#ifdef UNIAX
Erot_new += SPRODN(DREH_IMPULS,p,i,DREH_IMPULS,p,i) / uniax_inert;
#endif
/* new positions */
#ifdef RELAXINFO
tmportx=ORT(p,i,X);
tmporty=ORT(p,i,Y);
tmportz=ORT(p,i,Z);
#endif
tmp = timestep / MASSE(p,i);
ORT(p,i,X) = (rfric * ORT(p,i,X) + IMPULS(p,i,X) * tmp) * rifric;
ORT(p,i,Y) = (rfric * ORT(p,i,Y) + IMPULS(p,i,Y) * tmp) * rifric;
#ifndef TWOD
ORT(p,i,Z) = (rfric * ORT(p,i,Z) + IMPULS(p,i,Z) * tmp) * rifric;
#endif
#ifdef RELAXINFO
xnorm += SQR(ORT(p,i,X)-tmportx) + SQR(ORT(p,i,Y)-tmporty)+SQR(ORT(p,i,Z)-tmportz);
/* determine the biggest displacement component */
tmp_x_max2 = MAX( SQR(ORT(p,i,X)-tmportx),tmp_x_max2);
tmp_x_max2 = MAX( SQR(ORT(p,i,Y)-tmporty),tmp_x_max2);
#ifndef TWOD
tmp_x_max2 = MAX( SQR(ORT(p,i,Z)-tmportz),tmp_x_max2);
#endif
#endif
#ifdef UNIAX
/* new molecular axes */
cross.x = DREH_IMPULS(p,i,Y) * ACHSE(p,i,Z)
- DREH_IMPULS(p,i,Z) * ACHSE(p,i,Y);
cross.y = DREH_IMPULS(p,i,Z) * ACHSE(p,i,X)
- DREH_IMPULS(p,i,X) * ACHSE(p,i,Z);
cross.z = DREH_IMPULS(p,i,X) * ACHSE(p,i,Y)
- DREH_IMPULS(p,i,Y) * ACHSE(p,i,X);
ACHSE(p,i,X) += timestep * cross.x / uniax_inert;
ACHSE(p,i,Y) += timestep * cross.y / uniax_inert;
ACHSE(p,i,Z) += timestep * cross.z / uniax_inert;
norm = SQRT( SPRODN(ACHSE,p,i,ACHSE,p,i) );
ACHSE(p,i,X) /= norm;
ACHSE(p,i,Y) /= norm;
ACHSE(p,i,Z) /= norm;
#endif
#ifdef STRESS_TENS
if (do_press_calc) {
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) / MASSE(p,i);
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) / MASSE(p,i);
}
#endif
}
}
#ifdef MPI
/* add up results from all CPUs */
tmpvec1[0] = Ekin_new;
tmpvec1[1] = Erot_new;
tmpvec1[2] = fnorm;
tmpvec1[3] = omega_E;
tmpvec1[4] = PxF;
MPI_Allreduce( tmpvec1, tmpvec2, 5, REAL, MPI_SUM, cpugrid);
Ekin_new = tmpvec2[0];
Erot_new = tmpvec2[1];
fnorm = tmpvec2[2];
omega_E = tmpvec2[3];
PxF = tmpvec2[4];
#ifdef FNORM
MPI_Allreduce( &tmp_f_max2, &f_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#ifdef RELAXINFO
MPI_Allreduce( &tmp_x_max2, &x_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#else
#ifdef FNORM
f_max2 = tmp_f_max2;
#endif
#ifdef RELAXINFO
x_max2=tmp_x_max2;
#endif
#endif
#ifdef UNIAX
tot_kin_energy = ( Ekin_old + Ekin_new + Erot_old + Erot_new) / 4.0;
#else
tot_kin_energy = ( Ekin_old + Ekin_new ) / 4.0;
#endif
/* time evolution of eta */
ttt = nactive * temperature;
eta += timestep * (Ekin_new / ttt - 1.0) * isq_tau_eta;
Ekin_old = Ekin_new;
#ifdef UNIAX
ttt = nactive_rot * temperature;
eta_rot += timestep * (Erot_new / ttt - 1.0) * isq_tau_eta_rot;
Erot_old = Erot_new;
#endif
/* time evolution of box size */
ttt = (1.0 + xi.x * timestep / 2.0) / (1.0 - xi.x * timestep / 2.0);
if (ttt<0) error("box size has become negative!");
box_x.x *= ttt;
box_x.y *= ttt;
box_y.x *= ttt;
box_y.y *= ttt;
#ifndef TWOD
box_x.z *= ttt;
box_y.z *= ttt;
box_z.x *= ttt;
box_z.y *= ttt;
box_z.z *= ttt;
#endif
make_box();
/* increment external pressure */
if (steps == steps_min) {
if (use_curr_pressure==1) {
pressure_ext.x = pressure;
use_curr_pressure = 0;
}
d_pressure = (pressure_end.x - pressure_ext.x) / (steps_max - steps_min);
}
pressure_ext.x += d_pressure;
}
#else
void move_atoms_npt_iso(void)
{
if (myid==0)
error("the chosen ensemble NPT_ISO is not supported by this binary");
}
#endif
/******************************************************************************
*
* NPT Integrator with Nose Hoover Thermostat
*
******************************************************************************/
#ifdef NPT_axial
void move_atoms_npt_axial(void)
{
int k, sort;
real tmp_f_max2=0.0;
real Ekin_new = 0.0, ttt, tmpvec1[6], tmpvec2[6];
vektor pfric, pifric, rfric, rifric, tvec;
static vektor d_pressure;
if (steps == steps_min) {
calc_dyn_pressure();
if (isq_tau_xi==0.0) {
xi.x = 0.0;
xi.y = 0.0;
#ifndef TWOD
xi.z = 0.0;
#endif
}
xi.x *= relax_dirs.x;
xi.y *= relax_dirs.y;
#ifndef TWOD
xi.z *= relax_dirs.z;
#endif
}
fnorm = 0.0;
omega_E = 0.0;
stress_x = (dyn_stress_x + vir_xx) / volume; dyn_stress_x = 0.0;
stress_y = (dyn_stress_y + vir_yy) / volume; dyn_stress_y = 0.0;
#ifndef TWOD
stress_z = (dyn_stress_z + vir_zz) / volume; dyn_stress_z = 0.0;
#endif
/* time evolution of xi */
ttt = timestep * volume * isq_tau_xi / nactive;
xi_old.x = xi.x; xi.x += ttt * (stress_x - pressure_ext.x) * relax_dirs.x;
xi_old.y = xi.y; xi.y += ttt * (stress_y - pressure_ext.y) * relax_dirs.y;
#ifndef TWOD
xi_old.z = xi.z; xi.z += ttt * (stress_z - pressure_ext.z) * relax_dirs.z;
#endif
/* some constants used later on */
pfric.x = 1.0 - (xi_old.x + eta) * timestep / 2.0;
pifric.x = 1.0 / (1.0 + (xi.x + eta) * timestep / 2.0);
rfric.x = 1.0 + (xi.x ) * timestep / 2.0;
rifric.x = 1.0 / (1.0 - (xi.x ) * timestep / 2.0);
pfric.y = 1.0 - (xi_old.y + eta) * timestep / 2.0;
pifric.y = 1.0 / (1.0 + (xi.y + eta) * timestep / 2.0);
rfric.y = 1.0 + (xi.y ) * timestep / 2.0;
rifric.y = 1.0 / (1.0 - (xi.y ) * timestep / 2.0);
#ifndef TWOD
pfric.z = 1.0 - (xi_old.z + eta) * timestep / 2.0;
pifric.z = 1.0 / (1.0 + (xi.z + eta) * timestep / 2.0);
rfric.z = 1.0 + (xi.z ) * timestep / 2.0;
rifric.z = 1.0 / (1.0 - (xi.z ) * timestep / 2.0);
#endif
/* loop over all cells */
#ifdef _OPENMP
#pragma omp parallel for reduction(+:Ekin,dyn_stress_x,dyn_stress_y,dyn_stress_z,fnorm,omega_E)
#endif
for (k=0; k<NCELLS; ++k) {
int i, sort;
cell *p;
real tmp;
p = CELLPTR(k);
/* loop over atoms in cell */
for (i=0; i<p->n; ++i) {
tmp = 1.0 / MASSE(p,i);
#ifdef FNORM
fnorm += SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_f_max2 = MAX(SQR(KRAFT(p,i,X)),tmp_f_max2);
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Y)),tmp_f_max2);
#ifndef TWOD
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Z)),tmp_f_max2);
#endif
#endif
#ifdef EINSTEIN
omega_E += SPRODN(KRAFT,p,i,KRAFT,p,i) * tmp;
#endif
#ifdef STRESS_TENS
if (do_press_calc) {
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) * tmp;
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) * tmp;
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) * tmp;
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) * tmp;
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) * tmp;
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) * tmp;
}
#endif
/* new momenta */
IMPULS(p,i,X) = (pfric.x * IMPULS(p,i,X)
+ timestep * KRAFT(p,i,X)) * pifric.x;
IMPULS(p,i,Y) = (pfric.y * IMPULS(p,i,Y)
+ timestep * KRAFT(p,i,Y)) * pifric.y;
#ifndef TWOD
IMPULS(p,i,Z) = (pfric.z * IMPULS(p,i,Z)
+ timestep * KRAFT(p,i,Z)) * pifric.z;
#endif
sort = VSORTE(p,i);
/* and set their force (->momentum) in restricted directions to 0 */
IMPULS(p,i,X) *= (restrictions + sort)->x;
IMPULS(p,i,Y) *= (restrictions + sort)->y;
#ifndef TWOD
IMPULS(p,i,Z) *= (restrictions + sort)->z;
#endif
/* new stress tensor (dynamic part only) */
dyn_stress_x += IMPULS(p,i,X) * IMPULS(p,i,X) * tmp;
dyn_stress_y += IMPULS(p,i,Y) * IMPULS(p,i,Y) * tmp;
#ifndef TWOD
dyn_stress_z += IMPULS(p,i,Z) * IMPULS(p,i,Z) * tmp;
#endif
/* twice the new kinetic energy */
Ekin_new += SPRODN(IMPULS,p,i,IMPULS,p,i) * tmp;
/* new positions */
tmp *= timestep;
ORT(p,i,X) = (rfric.x * ORT(p,i,X) + IMPULS(p,i,X) * tmp) * rifric.x;
ORT(p,i,Y) = (rfric.y * ORT(p,i,Y) + IMPULS(p,i,Y) * tmp) * rifric.y;
#ifndef TWOD
ORT(p,i,Z) = (rfric.z * ORT(p,i,Z) + IMPULS(p,i,Z) * tmp) * rifric.z;
#endif
}
}
#ifdef MPI
/* add up results from different CPUs */
tmpvec1[0] = Ekin_new;
tmpvec1[1] = fnorm;
tmpvec1[2] = dyn_stress_x;
tmpvec1[3] = dyn_stress_y;
tmpvec1[4] = dyn_stress_z;
tmpvec1[5] = omega_E;
MPI_Allreduce( tmpvec1, tmpvec2, 6, REAL, MPI_SUM, cpugrid);
Ekin_new = tmpvec2[0];
fnorm = tmpvec2[1];
dyn_stress_x = tmpvec2[2];
dyn_stress_y = tmpvec2[3];
dyn_stress_z = tmpvec2[4];
omega_E = tmpvec2[5];
#ifdef FNORM
MPI_Allreduce( &tmp_f_max2, &f_max2, 1, REAL, MPI_MAX, cpugrid);
#endif
#else
#ifdef FNORM
f_max2 = tmp_f_max2;
#endif
#endif
/* time evolution of eta */
tot_kin_energy = ( Ekin_old + Ekin_new ) / 4.0;
ttt = nactive * temperature;
eta += timestep * (Ekin_new / ttt - 1.0) * isq_tau_eta;
Ekin_old = Ekin_new;
/* time evolution of box size */
tvec.x = (1.0 + xi.x * timestep / 2.0) / (1.0 - xi.x * timestep / 2.0);
tvec.y = (1.0 + xi.y * timestep / 2.0) / (1.0 - xi.y * timestep / 2.0);
if ((tvec.x<0) || (tvec.y<0)) error("box size has become negative!");
box_x.x *= tvec.x;
box_x.y *= tvec.x;
box_y.x *= tvec.y;
box_y.y *= tvec.y;
#ifndef TWOD
tvec.z = (1.0 + xi.z * timestep / 2.0) / (1.0 - xi.z * timestep / 2.0);
if (tvec.z<0) error("box size has become negative!");
box_x.z *= tvec.x;
box_y.z *= tvec.y;
box_z.x *= tvec.z;
box_z.y *= tvec.z;
box_z.z *= tvec.z;
#endif
make_box();
/* increment external pressure */
if (steps == steps_min) {
if (use_curr_pressure==1) {
pressure_ext.x = stress_x;
pressure_ext.y = stress_y;
#ifndef TWOD
pressure_ext.z = stress_z;
#endif
use_curr_pressure = 0;
}
d_pressure.x = (pressure_end.x-pressure_ext.x) / (steps_max-steps_min);
d_pressure.y = (pressure_end.y-pressure_ext.y) / (steps_max-steps_min);
#ifndef TWOD
d_pressure.z = (pressure_end.z-pressure_ext.z) / (steps_max-steps_min);
#endif
}
pressure_ext.x += d_pressure.x;
pressure_ext.y += d_pressure.y;
#ifndef TWOD
pressure_ext.z += d_pressure.z;
#endif
}
#else
void move_atoms_npt_axial(void)
{
if (myid==0)
error("the chosen ensemble NPT_AXIAL is not supported by this binary");
}
#endif
/*****************************************************************************
*
* NVE Integrator with stadium damping and fixed borders
* for fracture studies
*
*****************************************************************************/
#ifdef FRAC
void move_atoms_frac(void)
{
int k;
real tmpvec1[6], tmpvec2[6], ttt;
real tmp_f_max2=0.0;
real E_kin_1 = 0.0, E_kin_2 = 0.0;
real E_kin_damp1 = 0.0, E_kin_damp2 = 0.0;
real E_kin_stadium1 = 0.0, E_kin_stadium2 = 0.0;
real reibung, reibung_y, eins_d_reib, eins_d_reib_y;
real epsilontmp, eins_d_epsilontmp;
real tmp, f; /* stadium function: the bath tub !!!!*/
fnorm = 0.0;
sum_f = 0.0;
n_stadium = 0;
if(expansionmode==1)
dotepsilon = dotepsilon0 / (1.0 + dotepsilon0 * steps * timestep);
/* loop over all cells */
#ifdef _OPENMP
#pragma omp parallel for reduction(+:E_kin_1,E_kin_2,E_kin_damp1,E_kin_damp2,E_kin_stadium1,E_kin_stadium2,sum_f,n_stadium,fnorm)
#endif
for (k=0; k<NCELLS; ++k){
int i, j, sort;
cell *p;
real tmp,tmp1,tmp2;
p = CELLPTR(k);
#ifdef CLONE
for (i=0; i<p->n; i+=nclones)
for (j=1; j<nclones; j++) {
KRAFT(p,i+j,X) = KRAFT(p,i,X);
KRAFT(p,i+j,Y) = KRAFT(p,i,Y);
#ifndef TWOD
KRAFT(p,i+j,Z) = KRAFT(p,i,Z);
#endif
IMPULS(p,i+j,X) = IMPULS(p,i,X);
IMPULS(p,i+j,Y) = IMPULS(p,i,Y);
#ifndef TWOD
IMPULS(p,i+j,Z) = IMPULS(p,i,Z);
#endif
}
#endif /* CLONE */
/* loop over all atoms in the cell */
for (i=0; i<p->n; ++i) {
/* if half axis in x-direction is zero: global viscous damping ! */
if(stadium.x <= 0.0) {
f = 1.0;
} else {
/* Calculate stadium function f */
tmp1 = SQR((ORT(p,i,X)-center.x)/(2.0*stadium2.x));
tmp2 = SQR((ORT(p,i,Y)-center.y)/(2.0*stadium2.y));
f = (tmp1+tmp2-SQR(stadium.x/(2.0*stadium2.x)))/\
(.25- SQR(stadium.x/(2.0*stadium2.x)));
}
if (f<= 0.0) {
f = 0.0;
n_stadium += DIM;
/* what about the restrictions?? */
}
if (f>1.0) f = 1.0;
/* we smooth the stadium function: to get a real bath tub !*/
f = .5 * (1 + sin(-M_PI/2.0 + M_PI*f));
sort = VSORTE(p,i);
/* add up f considering the restriction vector */
#ifdef TWOD
sum_f+= f * ( (restrictions + sort)->x +
(restrictions + sort)->y )/2.0;
#else
sum_f+= f * ( (restrictions + sort)->x +
(restrictions + sort)->y +
(restrictions + sort)->z )/3.0;
#endif
/* twice the old kinetic energy */
tmp = SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
E_kin_1 += tmp;
if (f == 0.0) E_kin_stadium1 += tmp;
if (f > 0.0) E_kin_damp1 += f * tmp;
#ifdef FBC
/* give virtual particles their extra force */
KRAFT(p,i,X) += (fbc_forces + sort)->x;
KRAFT(p,i,Y) += (fbc_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (fbc_forces + sort)->z;
#endif
#endif
KRAFT(p,i,X) *= (restrictions + sort)->x;
KRAFT(p,i,Y) *= (restrictions + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) *= (restrictions + sort)->z;
#endif
#ifdef FNORM
fnorm += SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_f_max2 = MAX(SQR(KRAFT(p,i,X)),tmp_f_max2);
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Y)),tmp_f_max2);
#ifndef TWOD
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Z)),tmp_f_max2);
#endif
#endif
reibung = 1.0 - gamma_damp * f * timestep / 2.0;
eins_d_reib = 1.0 / (1.0 + gamma_damp * f * timestep / 2.0);
reibung_y = 1.0 - (gamma_damp * f + dotepsilon) *
timestep / 2.0;
eins_d_reib_y = 1.0 / (1.0 + (gamma_damp * f + dotepsilon) *
timestep / 2.0);
/* new momenta */
IMPULS(p,i,X) = (IMPULS(p,i,X) * reibung + timestep * KRAFT(p,i,X))
* eins_d_reib * (restrictions + sort)->x;
IMPULS(p,i,Y) = (IMPULS(p,i,Y) * reibung_y + timestep * KRAFT(p,i,Y))
* eins_d_reib_y * (restrictions + sort)->y;
#ifndef TWOD
IMPULS(p,i,Z) = (IMPULS(p,i,Z) * reibung + timestep * KRAFT(p,i,Z))
* eins_d_reib * (restrictions + sort)->z;
#endif
/* twice the new kinetic energy */
tmp = SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
E_kin_2 += tmp;
if (f == 0.0) E_kin_stadium2 += tmp;
if (f > 0.0) E_kin_damp2 += f * tmp;
/* new positions */
tmp = timestep / MASSE(p,i);
epsilontmp = 1.0 + dotepsilon * timestep / 2.0;
eins_d_epsilontmp = 1.0 / (1.0 - dotepsilon * timestep / 2.0);
ORT(p,i,X) += tmp * IMPULS(p,i,X);
ORT(p,i,Y) = (tmp * IMPULS(p,i,Y) + epsilontmp * ORT(p,i,Y))
* eins_d_epsilontmp;
#ifndef TWOD
ORT(p,i,Z) += tmp * IMPULS(p,i,Z);
#endif
#ifdef STRESS_TENS
if (do_press_calc) {
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) / MASSE(p,i);
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) / MASSE(p,i);
}
#endif
}
}
tot_kin_energy = ( E_kin_1 + E_kin_2 ) / 4.0;
E_kin_stadium = ( E_kin_stadium1 + E_kin_stadium2 ) / 4.0;
E_kin_damp = ( E_kin_damp1 + E_kin_damp2 ) / 4.0;
#ifdef MPI
/* add up results from different CPUs */
tmpvec1[0] = tot_kin_energy;
tmpvec1[1] = E_kin_stadium;
tmpvec1[2] = E_kin_damp;
tmpvec1[3] = E_kin_damp2;
tmpvec1[4] = n_stadium;
tmpvec1[5] = sum_f;
MPI_Allreduce( tmpvec1, tmpvec2, 6, REAL, MPI_SUM, cpugrid);
tot_kin_energy = tmpvec2[0];
E_kin_stadium = tmpvec2[1];
E_kin_damp = tmpvec2[2];
E_kin_damp2 = tmpvec2[3];
n_stadium = tmpvec2[4];
sum_f = tmpvec2[5];
#endif
ttt = DIM * temperature * sum_f;
/* time evolution of constraints */
/* dampingmode: 0 -> viscous damping (default);
1 -> Nose-Hoover; */
if(dampingmode == 1){
gamma_damp += timestep * (E_kin_damp2 / ttt - 1.0) * gamma_bar;
} else {
if( E_kin_damp2 != 0.0){
gamma_damp = (1.0 - ttt / E_kin_damp2) * gamma_bar;
} else {
gamma_damp = 0.0;
}
}
}
#else
void move_atoms_frac(void)
{
if (myid==0)
error("the chosen ensemble FRAC is not supported by this binary");
}
#endif
/*****************************************************************************
*
* Integrator for fracture studies with temperature gradient
*
*
*****************************************************************************/
#ifdef FTG
void move_atoms_ftg(void)
{
int j, k;
real tmp_f_max2=0.0;
static real *E_kin_1 = NULL; static real *E_kin_2 = NULL;
static real *ftgtmpvec1 = NULL; static real *ftgtmpvec2 = NULL;
static int *iftgtmpvec1 = NULL; static int *iftgtmpvec2 = NULL;
real tmp,tmp1,tmp2;
real ttt;
real reibung, reibung_y, eins_d_reib, eins_d_reib_y;
real epsilontmp, eins_d_epsilontmp;
int slice;
real gamma_tmp;
/* alloc vector versions of E_kin and ftgtmpvect*/
if (NULL==E_kin_1) {
E_kin_1=(real*) malloc(nslices*sizeof(real));
if (NULL==E_kin_1)
error("Cannot allocate memory for E_kin_1 vector\n");
}
if (NULL==E_kin_2) {
E_kin_2=(real*) malloc(nslices*sizeof(real));
if (NULL==E_kin_2)
error("Cannot allocate memory for E_kin_2 vector\n");
}
if (NULL==ftgtmpvec1) {
ftgtmpvec1=(real*) malloc(nslices*sizeof(real));
if (NULL==ftgtmpvec1)
error("Cannot allocate memory for ftgtmpvec1 vector\n");
}
if (NULL==ftgtmpvec2) {
ftgtmpvec2=(real*) malloc(nslices*sizeof(real));
if (NULL==ftgtmpvec2)
error("Cannot allocate memory for ftgtmpvec2 vector\n");
}
if (NULL==iftgtmpvec1) {
iftgtmpvec1=(int*) malloc(nslices*sizeof(int));
if (NULL==iftgtmpvec1)
error("Cannot allocate memory for iftgtmpvec1 vector\n");
}
if (NULL==iftgtmpvec2) {
iftgtmpvec2=(int*) malloc(nslices*sizeof(int));
if (NULL==iftgtmpvec2)
error("Cannot allocate memory for iftgtmpvec2 vector\n");
}
for (j=0; j<nslices; j++) {
*(E_kin_1 +j) = 0.0;
*(E_kin_2 +j) = 0.0;
*(ninslice +j) = 0;
}
fnorm = 0.0;
if(expansionmode==1)
dotepsilon = dotepsilon0 / (1.0 + dotepsilon0 * steps * timestep);
/* loop over all cells */
for (k=0; k<NCELLS; ++k) {
int i, j, sort;
cell *p;
p = CELLPTR(k);
#ifdef CLONE
for (i=0; i<p->n; i+=nclones)
for (j=1; j<nclones; j++) {
KRAFT(p,i+j,X) = KRAFT(p,i,X);
KRAFT(p,i+j,Y) = KRAFT(p,i,Y);
#ifndef TWOD
KRAFT(p,i+j,Z) = KRAFT(p,i,Z);
#endif
IMPULS(p,i+j,X) = IMPULS(p,i,X);
IMPULS(p,i+j,Y) = IMPULS(p,i,Y);
#ifndef TWOD
IMPULS(p,i+j,Z) = IMPULS(p,i,Z);
#endif
}
#endif /* CLONE */
/* loop over all atoms in cell */
for (i=0; i<p->n; ++i) {
sort = VSORTE(p,i);
/* calc slice */
tmp = ORT(p,i,X)/box_x.x;
slice = (int) (nslices *tmp);
if (slice<0) slice = 0;
if (slice>=nslices) slice = nslices-1;;
/* if half axis in y-direction is given: local viscous damping !!! */
if(stadium.y != 0.0){
/* calc desired temperature */
temperature = Tleft + (Tright-Tleft) * (nslices*tmp - nslices_Left)
/(nslices - nslices_Left - nslices_Right);
if (temperature < Tleft ) temperature = Tleft;
if (temperature > Tright) temperature = Tright;
/* calc kinetic "temperature" for actual atom */
tmp = SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
#ifdef TWOD
tmp2 = ( (restrictions + sort)->x +
(restrictions + sort)->y );
#else
tmp2 = ( (restrictions + sort)->x +
(restrictions + sort)->y +
(restrictions + sort)->z );
#endif
if(tmp2!=0) tmp /= (real)tmp2;
/* calc damping factor form position */
gamma_tmp = (FABS(ORT(p,i,Y)-center.y) - stadium.y)/
(stadium2.y-stadium.y);
if ( gamma_tmp < 0.0) gamma_tmp = 0.0;
if ( gamma_tmp > 1.0) gamma_tmp = 1.0;
/* smooth the gamma_tmp funktion*/
gamma_tmp = .5 * (1 + sin(-M_PI/2.0 + M_PI*gamma_tmp));
/* to share the code with the non local version we overwrite
the gamma values every timestep */
*(gamma_ftg+slice) = (gamma_min + gamma_bar * gamma_tmp)
* (tmp-temperature)
/ sqrt(SQR(tmp) + SQR(temperature/delta_ftg));
}
/* add up degrees of freedom considering restriction vector */
#ifdef TWOD
*(ninslice + slice) += ( (restrictions + sort)->x +
(restrictions + sort)->y );
#else
*(ninslice + slice) += ( (restrictions + sort)->x +
(restrictions + sort)->y +
(restrictions + sort)->z );
#endif
/* twice the old kinetic energy */
*(E_kin_1 + slice) += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
#ifdef FBC
/* give virtual particles their extra force */
KRAFT(p,i,X) += (fbc_forces + sort)->x;
KRAFT(p,i,Y) += (fbc_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (fbc_forces + sort)->z;
#endif
#endif
KRAFT(p,i,X) *= (restrictions + sort)->x;
KRAFT(p,i,Y) *= (restrictions + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) *= (restrictions + sort)->z;
#endif
#ifdef FNORM
fnorm += SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_f_max2 = MAX(SQR(KRAFT(p,i,X)),tmp_f_max2);
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Y)),tmp_f_max2);
#ifndef TWOD
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Z)),tmp_f_max2);
#endif
#endif
reibung = 1.0 - *(gamma_ftg + slice) * timestep / 2.0;
eins_d_reib = 1.0 / (1.0 + *(gamma_ftg + slice) * timestep / 2.0);
reibung_y = 1.0 - (*(gamma_ftg + slice) + dotepsilon) *
timestep / 2.0;
eins_d_reib_y = 1.0 / (1.0 + (*(gamma_ftg + slice) + dotepsilon) *
timestep / 2.0);
/* new momenta */
IMPULS(p,i,X) = (IMPULS(p,i,X) * reibung + timestep * KRAFT(p,i,X))
* eins_d_reib * (restrictions + sort)->x;
IMPULS(p,i,Y) = (IMPULS(p,i,Y) * reibung_y + timestep * KRAFT(p,i,Y))
* eins_d_reib_y * (restrictions + sort)->y;
#ifndef TWOD
IMPULS(p,i,Z) = (IMPULS(p,i,Z) * reibung + timestep * KRAFT(p,i,Z))
* eins_d_reib * (restrictions + sort)->z;
#endif
/* twice the new kinetic energy */
*(E_kin_2 + slice) += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
/* new positions */
tmp = timestep / MASSE(p,i);
epsilontmp = 1.0 + dotepsilon * timestep / 2.0;
eins_d_epsilontmp = 1.0 / (1.0 - dotepsilon * timestep / 2.0);
ORT(p,i,X) += tmp * IMPULS(p,i,X);
ORT(p,i,Y) = (tmp * IMPULS(p,i,Y) + epsilontmp * ORT(p,i,Y))
* eins_d_epsilontmp;
#ifndef TWOD
ORT(p,i,Z) += tmp * IMPULS(p,i,Z);
#endif
#ifdef STRESS_TENS
if (do_press_calc) {
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) / MASSE(p,i);
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) / MASSE(p,i);
}
#endif
}
}
tot_kin_energy = 0.0;
for (j=0; j<nslices; j++){
tot_kin_energy += ( *(E_kin_1 + j) + *(E_kin_2 + j)) / 4.0;
*(E_kin_ftg+j) = ( *(E_kin_1 + j) + *(E_kin_2 + j)) / 4.0;
}
#ifdef DEBUG
printf("%d: ", myid);
for (j=0;j<nslices;j++)
printf("%3.6f ", *(E_kin_2 +j));
printf("\n");
#endif
#ifdef MPI
/* add up results from different CPUs */
for (j=0; j<nslices; j++)
*(ftgtmpvec1 + j) = *(E_kin_ftg + j);
MPI_Allreduce( ftgtmpvec1, ftgtmpvec2, nslices, REAL, MPI_SUM, cpugrid);
for (j=0; j<nslices; j++)
*(E_kin_ftg + j) = *(ftgtmpvec2 + j);
for (j=0; j<nslices; j++)
*(ftgtmpvec1 + j) = *(E_kin_2 + j);
MPI_Allreduce( ftgtmpvec1, ftgtmpvec2, nslices, REAL, MPI_SUM, cpugrid);
for (j=0; j<nslices; j++)
*(E_kin_2 + j) = *(ftgtmpvec2 + j);
tmp1 = tot_kin_energy;
MPI_Allreduce( &tmp1, &tmp2, 1, REAL, MPI_SUM, cpugrid);
tot_kin_energy = tmp2;
for (j=0; j<nslices; j++)
*(iftgtmpvec1 +j) = *(ninslice + j);
MPI_Allreduce( iftgtmpvec1, iftgtmpvec2, nslices, MPI_INT, MPI_SUM, cpugrid);
for (j=0; j<nslices; j++)
*(ninslice + j) = *(iftgtmpvec2 +j);
#endif
for (j=0; j<nslices; j++) {
temperature = Tleft + (Tright-Tleft)*(j-nslices_Left+1) /
(real) (nslices-nslices_Left-nslices_Right+1);
if(j>=nslices-nslices_Right) temperature = Tright;
if(j<nslices_Left) temperature = Tleft;
ttt = temperature * *(ninslice+j);
/* time evolution of constraints */
/* dampingmode: 0 -> viscous damping (default);
1 -> Nose-Hoover; */
if(0.0 == ttt){
*(gamma_ftg+j) = 0.0;
}
else if (dampingmode == 1) {
*(gamma_ftg+j) += timestep * ( *(E_kin_2+j) / ttt - 1.0) * gamma_bar;
}
else if (dampingmode == 0) {
*(gamma_ftg+j) = (1.0 - ttt / *(E_kin_2+j)) * gamma_bar;
}
}
}
#else
void move_atoms_ftg(void)
{
if (myid==0)
error("the chosen ensemble FTG is not supported by this binary");
}
#endif
/*****************************************************************************
*
* Integrator with local temperature (Finnis)
*
*
*****************************************************************************/
#ifdef FINNIS
void move_atoms_finnis(void)
{
int j, k;
real E_kin_1, E_kin_2;
real tmp, tmp1, tmp2;
real ttt;
real temperature_at;
real zeta_finnis;
real tmp_f_max2=0.0;
fnorm = 0.0;
/* loop over all cells */
for (k=0; k<NCELLS; ++k) {
int i, j, sort;
vektor *rest;
cell *p;
p = CELLPTR(k);
#ifdef CLONE
for (i=0; i<p->n; i+=nclones)
for (j=1; j<nclones; j++) {
KRAFT(p,i+j,X) = KRAFT(p,i,X);
KRAFT(p,i+j,Y) = KRAFT(p,i,Y);
#ifndef TWOD
KRAFT(p,i+j,Z) = KRAFT(p,i,Z);
#endif
IMPULS(p,i+j,X) = IMPULS(p,i,X);
IMPULS(p,i+j,Y) = IMPULS(p,i,Y);
#ifndef TWOD
IMPULS(p,i+j,Z) = IMPULS(p,i,Z);
#endif
}
#endif /* CLONE */
/* loop over all atoms in the cell */
for (i=0; i<p->n; ++i) {
sort = VSORTE(p,i);
rest = restrictions + sort;
/* calc kinetic "temperature" for actual atom */
tmp = SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
#ifdef TWOD
tmp2 = rest->x + rest->y;
#else
tmp2 = rest->x + rest->y + rest->z;
#endif
if (tmp2 != 0) tmp /= tmp2;
/* to account for restricted mobilities and to avoid singularities */
temperature_at = (tmp2 !=0) ? (tmp2/3.0 * temperature) : (1e-10);
/* to share the code with the non local version we overwrite
the zeta values every timestep */
zeta_finnis = zeta_0 * (tmp-temperature_at)
/ sqrt(SQR(tmp) + SQR(temperature_at*delta_finnis));
/* twice the old kinetic energy */
E_kin_1 += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
#ifdef FBC
/* give virtual particles their extra force */
KRAFT(p,i,X) += (fbc_forces + sort)->x;
KRAFT(p,i,Y) += (fbc_forces + sort)->y;
#ifndef TWOD
KRAFT(p,i,Z) += (fbc_forces + sort)->z;
#endif
#endif
KRAFT(p,i,X) *= rest->x;
KRAFT(p,i,Y) *= rest->y;
#ifndef TWOD
KRAFT(p,i,Z) *= rest->z;
#endif
#ifdef FNORM
fnorm += SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_f_max2 = MAX(SQR(KRAFT(p,i,X)),tmp_f_max2);
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Y)),tmp_f_max2);
#ifndef TWOD
tmp_f_max2 = MAX(SQR(KRAFT(p,i,Z)),tmp_f_max2);
#endif
#endif
/* new momenta */
IMPULS(p,i,X) += (-1.0*IMPULS(p,i,X) * zeta_finnis + KRAFT(p,i,X)) * timestep
* rest->x;
IMPULS(p,i,Y) += (-1.0*IMPULS(p,i,Y) * zeta_finnis + KRAFT(p,i,Y)) * timestep
* rest->y;
#ifndef TWOD
IMPULS(p,i,Z) += (-1.0*IMPULS(p,i,Z) * zeta_finnis + KRAFT(p,i,Z)) * timestep
* rest->z;
#endif
/* twice the new kinetic energy */
E_kin_2 += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
/* new positions */
tmp = timestep / MASSE(p,i);
ORT(p,i,X) += tmp * IMPULS(p,i,X);
ORT(p,i,Y) += tmp * IMPULS(p,i,Y);
#ifndef TWOD
ORT(p,i,Z) += tmp * IMPULS(p,i,Z);
#endif
#ifdef STRESS_TENS
if (do_press_calc) {
PRESSTENS(p,i,xx) += IMPULS(p,i,X) * IMPULS(p,i,X) / MASSE(p,i);
PRESSTENS(p,i,yy) += IMPULS(p,i,Y) * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
PRESSTENS(p,i,zz) += IMPULS(p,i,Z) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,yz) += IMPULS(p,i,Y) * IMPULS(p,i,Z) / MASSE(p,i);
PRESSTENS(p,i,zx) += IMPULS(p,i,Z) * IMPULS(p,i,X) / MASSE(p,i);
#endif
PRESSTENS(p,i,xy) += IMPULS(p,i,X) * IMPULS(p,i,Y) / MASSE(p,i);
}
#endif
}
}
tot_kin_energy = ( E_kin_1 + E_kin_2 ) / 4.0;
#ifdef MPI
/* add up results from different CPUs */
tmp1 = tot_kin_energy;
MPI_Allreduce( &tmp1, &tmp2, 1, REAL, MPI_SUM, cpugrid);
tot_kin_energy = tmp2;
#endif
}
#else
void move_atoms_finnis(void)
{
if (myid==0)
error("the chosen ensemble FINNIS is not supported by this binary");
}
#endif
#ifdef STM
/*****************************************************************************
*
* NVT Integrator with Stadium
*
*****************************************************************************/
void move_atoms_stm(void)
{
int k;
real tmp_f_max2=0.0;
/* we handle 2 ensembles ensindex = 0 -> NVT ;ensindex = 1 -> NVE */
int ensindex = 0;
real kin_energie_1[2] = {0.0,0.0}, kin_energie_2[2] = {0.0,0.0};
real tmpvec1[5], tmpvec2[5], ttt;
n_stadium = 0;
/* loop over all atoms */
#ifdef _OPENMP
#pragma omp parallel for reduction(+:kin_energie_1[0],kin_energie_1[1],kin_energie_2[0],kin_energie_2[2],n_stadium)
#endif
for (k=0; k<NCELLS; ++k) {
int i;
cell *p;
real reibung, eins_d_reib;
real tmp;
vektor d;
int sort=0;
p = CELLPTR(k);
for (i=0; i<p->n; ++i) {
/* Check if outside or inside the ellipse: */
tmp = SQR((ORT(p,i,X)-center.x)/stadium.x) +
SQR((ORT(p,i,Y)-center.y)/stadium.y) - 1;
if (tmp <= 0) {
/* We are inside the ellipse: */
reibung = 1.0;
eins_d_reib = 1.0;
n_stadium += DIM;
ensindex = 1;
} else {
reibung = 1 - eta * timestep / 2.0;
eins_d_reib = 1 / (1 + eta * timestep / 2.0);
ensindex = 0;
}
/* twice the old kinetic energy */
kin_energie_1[ensindex] += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
/* new momenta */
sort = VSORTE(p,i);
IMPULS(p,i,X) = (IMPULS(p,i,X)*reibung + timestep * KRAFT(p,i,X))
* eins_d_reib * (restrictions + sort)->x;
IMPULS(p,i,Y) = (IMPULS(p,i,Y)*reibung + timestep * KRAFT(p,i,Y))
* eins_d_reib * (restrictions + sort)->y;
/* twice the new kinetic energy */
kin_energie_2[ensindex] += SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
/* new positions */
tmp = timestep * MASSE(p,i);
ORT(p,i,X) += tmp * IMPULS(p,i,X);
ORT(p,i,Y) += tmp * IMPULS(p,i,Y);
}
}
tot_kin_energy = (kin_energie_1[0] + kin_energie_2[0]) / 4.0;
E_kin_stadium = (kin_energie_1[1] + kin_energie_2[1]) / 4.0;
#ifdef MPI
/* add up results from all CPUs */
tmpvec1[0] = tot_kin_energy;
tmpvec1[1] = kin_energie_2[0];
tmpvec1[2] = E_kin_stadium;
tmpvec1[3] = kin_energie_2[1];
tmpvec1[4] = (real)n_stadium;
MPI_Allreduce( tmpvec1, tmpvec2, 5, REAL, MPI_SUM, cpugrid);
tot_kin_energy = tmpvec2[0];
kin_energie_2[0] = tmpvec2[1];
E_kin_stadium = tmpvec2[2];
kin_energie_2[1] = tmpvec2[3];
n_stadium = (int)tmpvec2[4];
#endif
/* Zeitentwicklung der Parameter */
ttt = (nactive - n_stadium) * temperature;
eta += timestep * (kin_energie_2[0] / ttt - 1.0) * isq_tau_eta;
}
#else
void move_atoms_stm(void)
{
if (myid==0)
error("the chosen ensemble STM is not supported by this binary");
}
#endif
/******************************************************************************
*
* NVX Integrator for heat conductivity (direct method)
*
******************************************************************************/
#ifdef NVX
void move_atoms_nvx(void)
{
int k, num, nhalf;
real Ekin_1, Ekin_2, Ekin_right, Ekin_left, delta_E, Evec1[3], Evec2[3];
real scale, xx, rescale_left, rescale_right;
Evec1[0] = 0.0;
Evec1[1] = 0.0;
Evec1[2] = 0.0;
nhalf = hc_nlayers / 2;
scale = hc_nlayers / box_x.x;
delta_E = hc_heatcurr * 2 * box_y.y * box_z.z * timestep;
/* loop over all atoms */
for (k=0; k<NCELLS; ++k) {
int i;
cell *p = CELLPTR(k);
for (i=0; i<p->n; ++i) {
/* twice the old kinetic energy */
Ekin_1 = SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
/* new momenta */
IMPULS(p,i,X) += timestep * KRAFT(p,i,X);
IMPULS(p,i,Y) += timestep * KRAFT(p,i,Y);
#ifndef TWOD
IMPULS(p,i,Z) += timestep * KRAFT(p,i,Z);
#endif
/* twice the new kinetic energy */
Ekin_2 = SPRODN(IMPULS,p,i,IMPULS,p,i) / MASSE(p,i);
/* new positions */
ORT(p,i,X) += timestep * IMPULS(p,i,X) / MASSE(p,i);
ORT(p,i,Y) += timestep * IMPULS(p,i,Y) / MASSE(p,i);
#ifndef TWOD
ORT(p,i,Z) += timestep * IMPULS(p,i,Z) / MASSE(p,i);
#endif
Evec1[0] += (Ekin_1 + Ekin_2) / 4.0;
/* kinetic energy of layers 0 and nhalf */
xx = ORT(p,i,X);
if (xx<0.0) xx += box_x.x;
num = (int) (scale * xx);
if (num >= hc_nlayers) num -= hc_nlayers;
if (num == 0 ) Evec1[1] += Ekin_2;
else if (num == nhalf) Evec1[2] += Ekin_2;
}
}
#ifdef MPI
/* Add up results from all cpus */
MPI_Allreduce( Evec1, Evec2, 3, REAL, MPI_SUM, cpugrid);
tot_kin_energy = Evec2[0];
Ekin_left = Evec2[1];
Ekin_right = Evec2[2];
#else
tot_kin_energy = Evec1[0];
Ekin_left = Evec1[1];
Ekin_right = Evec1[2];
#endif
/* rescale factors for momenta */
rescale_left = SQRT( 1.0 - delta_E / Ekin_left );
rescale_right = SQRT( 1.0 + delta_E / Ekin_right );
/* rescale the momenta */
for (k=0; k<NCELLS; ++k) {
int i;
cell *p = CELLPTR(k);
for (i=0; i<p->n; ++i) {
/* which layer? */
xx = ORT(p,i,X);
if (xx<0.0) xx += box_x.x;
num = (int) (scale * xx);
if (num >= hc_nlayers) num -= hc_nlayers;
/* rescale momenta */
if (num == 0) {
IMPULS(p,i,X) *= rescale_left;
IMPULS(p,i,Y) *= rescale_left;
#ifndef TWOD
IMPULS(p,i,Z) *= rescale_left;
#endif
} else if (num == nhalf) {
IMPULS(p,i,X) *= rescale_right;
IMPULS(p,i,Y) *= rescale_right;
#ifndef TWOD
IMPULS(p,i,Z) *= rescale_right;
#endif
}
}
}
}
#else
void move_atoms_nvx(void)
{
if (myid==0)
error("the chosen ensemble NVX is not supported by this binary");
}
#endif
/*****************************************************************************
*
* Move the atoms for the Conjugated Gradient relaxator
*
*****************************************************************************/
#ifdef CG
void move_atoms_cg(real alpha)
{
int k;
real tmp_x_max2 = 0.0;
real tmpvec1[1], tmpvec2[1];
/* loop over all cells */
xnorm=0;
for (k=0; k<NCELLS; ++k) {
int i, j, sort;
cell *p;
p = CELLPTR(k);
#ifdef CLONE
for (i=0; i<p->n; i+=nclones)
for (j=1; j<nclones; j++) {
KRAFT(p,i+j,X) = KRAFT(p,i,X);
KRAFT(p,i+j,Y) = KRAFT(p,i,Y);
#ifndef TWOD
KRAFT(p,i+j,Z) = KRAFT(p,i,Z);
#endif
}
#endif /* CLONE */
for (i=0; i<p->n; ++i) {
/* CG: move atoms in search direction for linmin */
ORT(p,i,X) = OLD_ORT(p,i,X) + alpha * CG_H(p,i,X);
ORT(p,i,Y) = OLD_ORT(p,i,Y) + alpha * CG_H(p,i,Y);
#ifndef TWOD
ORT(p,i,Z) = OLD_ORT(p,i,Z) + alpha * CG_H(p,i,Z);
#endif
#ifdef RELAXINFO
xnorm += alpha * alpha * SPRODN(CG_H,p,i,CG_H,p,i);
/* determine the biggest force component */
tmp_x_max2 = MAX( alpha * alpha *SQR(CG_H(p,i,X)),tmp_x_max2);
tmp_x_max2 = MAX( alpha * alpha *SQR(CG_H(p,i,Y)),tmp_x_max2);
#ifndef TWOD
tmp_x_max2 = MAX( alpha * alpha *SQR(CG_H(p,i,Z)),tmp_x_max2);
#endif
#endif
}
}
#ifdef RELAXINFO
#ifdef MPI
tmpvec1[0] = xnorm;
MPI_Allreduce( tmpvec1, tmpvec2, 1, REAL, MPI_SUM, cpugrid);
xnorm = tmpvec2[0];
MPI_Allreduce( &tmp_x_max2, &x_max2, 1, REAL, MPI_MAX, cpugrid);
#else
x_max2 = tmp_x_max2;
#endif
#endif
if ((cg_infolevel>0) && (0==myid)) {
printf("moveatoms, alpha %.12e , xmax %.12e\n", alpha, SQRT(x_max2));
fflush(stdout);
}
}
#else
void move_atoms_cg(real alpha)
{
if (myid==0)
error("the chosen ensemble CG is not supported by this binary");
}
#endif
/* steepest descent step, needed for ACG , could also be used just
to do a steepest descent */
#if defined(CG) || defined(SD)
void move_atoms_sd(real alpha)
{
int k;
real tmp_x_max2 = 0.0;
real tmpvec1[1], tmpvec2[1];
/* loop over all cells */
xnorm=0;
for (k=0; k<NCELLS; ++k) {
int i, j, sort;
cell *p;
p = CELLPTR(k);
#ifdef CLONE
for (i=0; i<p->n; i+=nclones)
for (j=1; j<nclones; j++) {
KRAFT(p,i+j,X) = KRAFT(p,i,X);
KRAFT(p,i+j,Y) = KRAFT(p,i,Y);
#ifndef TWOD
KRAFT(p,i+j,Z) = KRAFT(p,i,Z);
#endif
}
#endif /* CLONE */
for (i=0; i<p->n; ++i) {
/* CG: move atoms in force direction for linmin */
ORT(p,i,X) = OLD_ORT(p,i,X) + alpha * KRAFT(p,i,X);
ORT(p,i,Y) = OLD_ORT(p,i,Y) + alpha * KRAFT(p,i,Y);
#ifndef TWOD
ORT(p,i,Z) = OLD_ORT(p,i,Z) + alpha * KRAFT(p,i,Z);
#endif
#ifdef RELAXINFO
xnorm += alpha * alpha * SPRODN(KRAFT,p,i,KRAFT,p,i);
/* determine the biggest force component */
tmp_x_max2 = MAX( alpha * alpha *SQR(KRAFT(p,i,X)),tmp_x_max2);
tmp_x_max2 = MAX( alpha * alpha *SQR(KRAFT(p,i,Y)),tmp_x_max2);
#ifndef TWOD
tmp_x_max2 = MAX( alpha * alpha *SQR(KRAFT(p,i,Z)),tmp_x_max2);
#endif
#endif
}
}
#ifdef RELAXINFO
#ifdef MPI
tmpvec1[0] = xnorm;
MPI_Allreduce( tmpvec1, tmpvec2, 1, REAL, MPI_SUM, cpugrid);
xnorm = tmpvec2[0];
MPI_Allreduce( &tmp_x_max2, &x_max2, 1, REAL, MPI_MAX, cpugrid);
#else
x_max2 = tmp_x_max2;
#endif
#endif
if ((cg_infolevel>0) && (0==myid)) {
printf("moveatoms, alpha %.12e , xmax %.12e\n", alpha, SQRT(x_max2) );
fflush(stdout);
}
}
#else
void move_atoms_sd(real alpha)
{
if (myid==0)
error("the chosen ensemble CG or SD is not supported by this binary");
}
#endif
#ifdef SHOCK
/*****************************************************************************
*
* Calculate average momentum in x direction
*
*****************************************************************************/
void calc_pxavg(void)
{
integer *num_1, *num_2;
real *dat_1, *dat_2, scale;
int i, k;
/* backup if dist_ur is not set */
if (0.0==dist_ur.x) {
dist_ur.x = box_x.x;
dist_ur.y = box_y.y;
#ifndef TWOD
dist_ur.z = box_z.z;
#endif
}
#ifdef MPI
dat_1 = (real *) malloc( dist_dim.x * sizeof(real ) );
num_1 = (integer *) malloc( dist_dim.x * sizeof(integer) );
dat_2 = (real *) malloc( dist_dim.x * sizeof(real ) );
num_2 = (integer *) malloc( dist_dim.x * sizeof(integer) );
if ((NULL==dat_1) || (NULL==num_1) || (NULL==dat_2) || (NULL==num_2))
error("Cannot allocate distribution data.");
#else
dat_1 = (real *) malloc( dist_dim.x * sizeof(real ) );
num_1 = (integer *) malloc( dist_dim.x * sizeof(integer) );
dat_2 = dat_1;
num_2 = num_1;
if ((NULL==dat_1) || (NULL==num_1))
error("Cannot allocate distribution data.");
#endif
/* the bins are orthogonal slices in space */
scale = dist_dim.x / (dist_ur.x - dist_ll.x);
/* clear distributions */
for (i=0; i<dist_dim.x; i++) {
dat_1[i] = 0.0;
num_1[i] = 0;
}
/* loop over all atoms */
for (k=0; k<NCELLS; ++k) {
cell *p = CELLPTR(k);
for (i=0; i<p->n; ++i) {
int n = (int) (scale * (ORT(p,i,X) - dist_ll.x));
if ((n < 0) || (n >= dist_dim.x)) continue;
num_1[n]++;
dat_1[n] += IMPULS(p,i,X);
}
}
#ifdef MPI /* add up results form different CPUs */
MPI_Allreduce( dat_1, dat_2, dist_dim.x, REAL, MPI_SUM, cpugrid);
MPI_Allreduce( num_1, num_2, dist_dim.x, INTEGER, MPI_SUM, cpugrid);
#endif
/* normalize distribution */
for (i=0; i<dist_dim.x; i++) {
if (num_2[i] > 0) dat_2[i] /= num_2[i];
}
/* loop over all atoms */
for (k=0; k<NCELLS; ++k) {
cell *p = CELLPTR(k);
for (i=0; i<p->n; ++i) {
int n = (int) (scale * (ORT(p,i,X) - dist_ll.x) - 0.5);
if (n < 0) {
PXAVG(p,i) = dat_2[0];
}
else if (n >= dist_dim.x-1) {
PXAVG(p,i) = dat_2[dist_dim.x-1];
}
else if (num_2[n]>0){
real chi = (ORT(p,i,X) - n / scale) * scale;
PXAVG(p,i) = dat_2[n] * (1-chi) + chi * dat_2[n+1];
}
else {
PXAVG(p,i) = dat_2[n];
}
}
}
#ifdef MPI
free(dat_1);
free(num_1);
free(dat_2);
free(num_2);
#else
free(dat_1);
free(num_1);
#endif
}
#endif
|
quicksort.c | /* C implementation QuickSort from http://w...content-available-to-author-only...s.org/quick-sort/ */
#include<stdio.h>
#include<stdlib.h>
#include<omp.h>
// A utility function to swap two elements
void swap(int* a, int* b)
{
int t = *a;
*a = *b;
*b = t;
}
/* This function takes last element as pivot, places
the pivot element at its correct position in sorted
array, and places all smaller (smaller than pivot)
to left of pivot and all greater elements to right
of pivot */
int partition (int arr[], int low, int high)
{
int pivot = arr[high]; // pivot
int i = (low - 1); // Index of smaller element
for (int j = low; j <= high- 1; j++)
{
// If current element is smaller than or
// equal to pivot
if (arr[j] <= pivot)
{
i++; // increment index of smaller element
swap(&arr[i], &arr[j]);
}
}
swap(&arr[i + 1], &arr[high]);
return (i + 1);
}
/* The main function that implements QuickSort
arr[] --> Array to be sorted,
low --> Starting index,
high --> Ending index */
void quickSort(int arr[], int low, int high)
{
if (low < high)
{
/* pi is partitioning index, arr[p] is now
at right place */
int pi = partition(arr, low, high);
// Separately sort elements before
// partition and after partition
#pragma omp parallel sections
{
#pragma omp section
quickSort(arr, low, pi - 1);
#pragma omp section
quickSort(arr, pi + 1, high);
}
}
}
/* Function to print an array */
void printArray(int arr[], int size)
{
int i;
for (i=0; i < size; i++)
printf("%d ", arr[i]);
printf("\n");
}
// Driver program to test above functions
int main()
{
int i,n = 10000000;
int *arr = (int*) malloc(n*sizeof(int));
for(i=0; i < n; i++)
arr[i] = rand()%n;
// omp_set_nested(1);
omp_set_num_threads(2);
quickSort(arr, 0, n-1);
//printf("Sorted array: \n");
//printArray(arr, n);
return 0;
}
|
DRB011-minusminus-orig-yes.c | /*
Copyright (C) 1991-2018 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it andor
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http:www.gnu.org/licenses/>.
*/
/*
This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it.
*/
/*
glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default.
*/
/*
wchar_t uses Unicode 10.0.0. Version 10.0 of the Unicode Standard is
synchronized with ISOIEC 10646:2017, fifth edition, plus
the following additions from Amendment 1 to the fifth edition:
- 56 emoji characters
- 285 hentaigana
- 3 additional Zanabazar Square characters
*/
/*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https:github.comLLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
The -- operation on numNodes2 is not protected, causing data race.
Data race pair: numNodes2@74:7 vs. numNodes2@74:7
*/
#include <stdlib.h>
#include <stdio.h>
int main(int argc, char * argv[])
{
int i;
int len = 100;
int numNodes = len, numNodes2 = 10;
int x[100];
/* initialize x[] */
int _ret_val_0;
#pragma cetus private(i)
#pragma loop name main#0
#pragma cetus parallel
#pragma omp parallel for private(i)
for (i=0; i<len; i ++ )
{
if ((i%2)==0)
{
x[i]=5;
}
else
{
x[i]=( - 5);
}
}
#pragma cetus private(i)
#pragma loop name main#1
#pragma cetus reduction(+: numNodes2)
#pragma cetus parallel
#pragma omp parallel for private(i) reduction(+: numNodes2)
for (i=(numNodes-1); i>( - 1); -- i)
{
if (x[i]<=0)
{
numNodes2 -- ;
}
}
printf("numNodes2 = %d\n", numNodes2);
_ret_val_0=0;
return _ret_val_0;
}
|
GB_binop__max_uint16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__max_uint16
// A.*B function (eWiseMult): GB_AemultB__max_uint16
// A*D function (colscale): GB_AxD__max_uint16
// D*A function (rowscale): GB_DxB__max_uint16
// C+=B function (dense accum): GB_Cdense_accumB__max_uint16
// C+=b function (dense accum): GB_Cdense_accumb__max_uint16
// C+=A+B function (dense ewise3): GB_Cdense_ewise3_accum__max_uint16
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__max_uint16
// C=scalar+B GB_bind1st__max_uint16
// C=scalar+B' GB_bind1st_tran__max_uint16
// C=A+scalar GB_bind2nd__max_uint16
// C=A'+scalar GB_bind2nd_tran__max_uint16
// C type: uint16_t
// A type: uint16_t
// B,b type: uint16_t
// BinaryOp: cij = GB_IMAX (aij, bij)
#define GB_ATYPE \
uint16_t
#define GB_BTYPE \
uint16_t
#define GB_CTYPE \
uint16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint16_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
uint16_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = GB_IMAX (x, y) ;
// op is second
#define GB_OP_IS_SECOND \
0
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MAX || GxB_NO_UINT16 || GxB_NO_MAX_UINT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB_Cdense_ewise3_accum__max_uint16
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_ewise3_noaccum__max_uint16
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumB__max_uint16
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumb__max_uint16
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint16_t
uint16_t bwork = (*((uint16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__max_uint16
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *GB_RESTRICT Cx = (uint16_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_DxB__max_uint16
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *GB_RESTRICT Cx = (uint16_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
#undef GB_FREE_ALL
#define GB_FREE_ALL \
{ \
GB_ek_slice_free (&pstart_Mslice, &kfirst_Mslice, &klast_Mslice) ; \
GB_ek_slice_free (&pstart_Aslice, &kfirst_Aslice, &klast_Aslice) ; \
GB_ek_slice_free (&pstart_Bslice, &kfirst_Bslice, &klast_Bslice) ; \
}
GrB_Info GB_AaddB__max_uint16
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_add_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB_AemultB__max_uint16
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_emult_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB_bind1st__max_uint16
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *GB_RESTRICT Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t x = (*((uint16_t *) x_input)) ;
uint16_t *Bx = (uint16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint16_t bij = Bx [p] ;
Cx [p] = GB_IMAX (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB_bind2nd__max_uint16
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *GB_RESTRICT Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t *Ax = (uint16_t *) Ax_input ;
uint16_t y = (*((uint16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint16_t aij = Ax [p] ;
Cx [p] = GB_IMAX (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint16_t aij = Ax [pA] ; \
Cx [pC] = GB_IMAX (x, aij) ; \
}
GrB_Info GB_bind1st_tran__max_uint16
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t x = (*((const uint16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint16_t aij = Ax [pA] ; \
Cx [pC] = GB_IMAX (aij, y) ; \
}
GrB_Info GB_bind2nd_tran__max_uint16
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t y = (*((const uint16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
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