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dnnl_utils_avx512.h | //===- dnnl_utils_avx512.h ------------------------------------------------===//
//
// Copyright (C) 2019-2020 Alibaba Group Holding Limited.
//
// 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.
// =============================================================================
#include <immintrin.h>
#include <omp.h>
namespace dnnl_utils {
static int calculat_offset(int len, int vec_size) {
/*
calculate the offset when using intrinsics.
example:
when len is 108 vec_size is 32 when using bf16
the result is 108 % 32 = 12
so we need to set the mask to 0b00000000000000000000111111111111
*/
int offset = len;
int expo = 0;
int dst = 0;
while (offset - vec_size > 0) {
offset -= vec_size;
}
while (offset > 0) {
dst += pow(2, expo);
offset -= 1;
expo += 1;
}
return dst;
}
#if defined(__GNUC__) && (__GNUC__ > 9)
inline void binary_s32_func(dnnl::algorithm alg, int32_t* lhs, int32_t* rhs,
int32_t* dst, int len) {
int i = 0;
int vec_size = 512 / 32;
__mmask16 mask16 = 0xFFFF;
__m512i (*__mm512_binary_op)(__m512i, __m512i);
switch (alg) {
case dnnl::algorithm::binary_add:
__mm512_binary_op = [](__m512i a, __m512i b) {
return _mm512_add_epi32(a, b);
};
break;
case dnnl::algorithm::binary_mul:
__mm512_binary_op = [](__m512i a, __m512i b) {
return _mm512_mul_epi32(a, b);
};
break;
default:
break;
}
for (; i <= len - vec_size; i += vec_size) {
auto a1 = _mm512_loadu_epi32(lhs + i);
auto b1 = _mm512_loadu_epi32(rhs + i);
auto out1 = __mm512_binary_op(a1, b1);
_mm512_mask_storeu_epi32(dst + i, mask16, out1);
}
if (len - i) {
auto tail_mask = calculat_offset(len - i, vec_size);
auto a1 = _mm512_maskz_loadu_epi32(tail_mask, lhs + i);
auto b1 = _mm512_maskz_loadu_epi32(tail_mask, rhs + i);
auto out1 = __mm512_binary_op(a1, b1);
_mm512_mask_storeu_epi32(dst + i, tail_mask, out1);
}
}
#else
inline void binary_s32_func(dnnl::algorithm alg, int32_t* lhs, int32_t* rhs,
int32_t* dst, int len) {
assert(0);
}
#endif
inline __m512 _mm512_cvtbf16f32_load(__mmask16 mask, void* mem_addr) {
auto dst = _mm512_slli_epi32(
_mm512_cvtepu16_epi32(_mm256_maskz_loadu_epi16(mask, mem_addr)), 0x10);
return _mm512_castsi512_ps(dst);
}
inline void gather_func(char* params, int32_t* idx, size_t idx_size,
size_t inner_size, size_t outer_loop, size_t outer_size,
size_t byte_size, char* dst) {
size_t slice_bytes = inner_size * byte_size;
#pragma omp parallel for
for (int j = 0; j < outer_loop; j++) {
for (int i = 0; i < idx_size; i++) {
memcpy(dst + (j * idx_size + i) * slice_bytes,
params + idx[i] * slice_bytes + j * outer_size * byte_size,
slice_bytes);
}
}
}
#if defined(__GNUC__) && (__GNUC__ > 9)
inline void floorbf_func(int len, int16_t* src, float* dst) {
int i = 0;
int vec_size = 512 / 16;
__mmask16 mask16 = 0xFFFF;
auto alpha_vec = _mm512_set1_ps(0.0);
for (; i <= len - vec_size; i += vec_size) {
auto a0 = _mm512_cvtbf16f32_load(mask16, src + i);
auto a1 = _mm512_cvtbf16f32_load(mask16, src + i + 16);
auto out0 = _mm512_floor_ps(a0);
auto out1 = _mm512_floor_ps(a1);
auto C_bf16 = _mm512_cvtne2ps_pbh(out1, out0);
_mm512_mask_storeu_ps(dst + i / 2, mask16, _mm512_castsi512_ps(C_bf16));
}
if ((len - i) > 16) {
auto a0 = _mm512_cvtbf16f32_load(mask16, src + i);
auto out0 = _mm512_floor_ps(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_storeu_ps(dst + i / 2, _mm256_castsi256_ps(C_bf16));
i += vec_size / 2;
}
if (len - i) {
__mmask16 tail_mask = calculat_offset(i, vec_size);
auto a0 = _mm512_cvtbf16f32_load(tail_mask, src + i);
auto out0 = _mm512_floor_ps(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_mask_storeu_ps(dst + i, tail_mask, _mm256_castsi256_ps(C_bf16));
}
}
#elif defined(__GNUC__) && (__GNUC__ > 8)
inline void floorbf_func(int len, int16_t* src, float* dst) {
int i = 0;
int vec_size = 512 / 32;
__mmask16 mask16 = 0xFFFF;
auto alpha_vec = _mm512_set1_ps(0.0);
auto tail_mask = calculat_offset(len, vec_size);
for (; i <= len - vec_size; i += vec_size) {
auto a0 = _mm512_cvtbf16f32_load(mask16, src + i);
auto out0 = _mm512_floor_ps(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_storeu_ps(dst + i, _mm256_castsi256_ps(C_bf16));
}
if (len - i) {
auto a0 = _mm512_cvtbf16f32_load(tail_mask, src + i);
auto out0 = _mm512_floor_ps(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_mask_storeu_ps(dst + i, tail_mask, _mm256_castsi256_ps(C_bf16));
}
}
#else
inline void floorbf_func(int len, int16_t* src, float* dst) { assert(0); }
#endif
inline void floorf_func(int len, float* src, float* dst) {
int i = 0;
int vec_size = 512 / 32;
__mmask16 mask16 = 0xFFFF;
for (; i <= len - vec_size; i += vec_size) {
auto a1 = _mm512_loadu_ps(src + i);
auto out1 = _mm512_floor_ps(a1);
_mm512_mask_storeu_ps(dst + i, mask16, out1);
}
if (len - i) {
auto tail_mask = calculat_offset(len - i, vec_size);
auto a1 = _mm512_maskz_loadu_ps(tail_mask, src + i);
auto out1 = _mm512_floor_ps(a1);
_mm512_mask_storeu_ps(dst + i, tail_mask, out1);
}
}
inline void rsqrtf_func(int len, float* src, float* dst) {
int i = 0;
int vec_size = 512 / 32;
__mmask16 mask16 = 0xFFFF;
for (; i <= len - vec_size; i += vec_size) {
auto a1 = _mm512_loadu_ps(src + i);
auto out1 = _mm512_rsqrt14_ps(a1);
_mm512_mask_storeu_ps(dst + i, mask16, out1);
}
if (len - i) {
auto tail_mask = calculat_offset(len - i, vec_size);
auto a1 = _mm512_maskz_loadu_ps(tail_mask, src + i);
auto out1 = _mm512_rsqrt14_ps(a1);
_mm512_mask_storeu_ps(dst + i, tail_mask, out1);
}
}
#if defined(__GNUC__) && (__GNUC__ > 9)
inline void rsqrtbf_func(int len, int16_t* src, float* dst) {
int i = 0;
int vec_size = 512 / 16;
__mmask16 mask16 = 0xFFFF;
auto alpha_vec = _mm512_set1_ps(0.0);
for (; i <= len - vec_size; i += vec_size) {
auto a0 = _mm512_cvtbf16f32_load(mask16, src + i);
auto a1 = _mm512_cvtbf16f32_load(mask16, src + i + 16);
auto out0 = _mm512_rsqrt14_ps(a0);
auto out1 = _mm512_rsqrt14_ps(a1);
auto C_bf16 = _mm512_cvtne2ps_pbh(out1, out0);
_mm512_mask_storeu_ps(dst + i / 2, mask16, _mm512_castsi512_ps(C_bf16));
}
if ((len - i) > 16) {
auto a0 = _mm512_cvtbf16f32_load(mask16, src + i);
auto out0 = _mm512_rsqrt14_ps(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_storeu_ps(dst + i / 2, _mm256_castsi256_ps(C_bf16));
i += 16;
}
if (len - i) {
auto tail_mask = calculat_offset(len - i, vec_size);
auto a0 = _mm512_cvtbf16f32_load(tail_mask, src + i);
auto out0 = _mm512_rsqrt14_ps(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_mask_storeu_ps(dst + i, tail_mask, _mm256_castsi256_ps(C_bf16));
}
}
#elif defined(__GNUC__) && (__GNUC__ > 8)
inline void rsqrtbf_func(int len, int16_t* src, float* dst) {
int i = 0;
int vec_size = 512 / 32;
__mmask16 mask16 = 0xFFFF;
auto alpha_vec = _mm512_set1_ps(0.0);
auto tail_mask = calculat_offset(len, vec_size);
for (; i <= len - vec_size; i += vec_size) {
auto a0 = _mm512_cvtbf16f32_load(mask16, src + i);
auto out0 = _mm512_rsqrt14_ps(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_storeu_ps(dst + i, _mm256_castsi256_ps(C_bf16));
}
if (len - i) {
auto a0 = _mm512_cvtbf16f32_load(tail_mask, src + i);
auto out0 = _mm512_rsqrt14_ps(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_mask_storeu_ps(dst + i, tail_mask, _mm256_castsi256_ps(C_bf16));
}
}
#else
inline void rsqrtbf_func(int len, int16_t* src, float* dst) {}
#endif
#if defined(__GNUC__) && (__GNUC__ > 9)
static inline __m512 pexp(const __m512& _x) {
__m512 p16f_1 = _mm512_set1_ps(1.0f);
__m512 p16f_half = _mm512_set1_ps(0.5f);
__m512 p16f_127 = _mm512_set1_ps(127.f);
__m512 p16f_exp_hi = _mm512_set1_ps(88.3762626647950f);
__m512 p16f_exp_lo = _mm512_set1_ps(-88.3762626647949f);
__m512 p16f_cephes_LOG2EF = _mm512_set1_ps(1.44269504088896341f);
__m512 p16f_cephes_exp_p0 = _mm512_set1_ps(1.9875691500E-4f);
__m512 p16f_cephes_exp_p1 = _mm512_set1_ps(1.3981999507E-3f);
__m512 p16f_cephes_exp_p2 = _mm512_set1_ps(8.3334519073E-3f);
__m512 p16f_cephes_exp_p3 = _mm512_set1_ps(4.1665795894E-2f);
__m512 p16f_cephes_exp_p4 = _mm512_set1_ps(1.6666665459E-1f);
__m512 p16f_cephes_exp_p5 = _mm512_set1_ps(5.0000001201E-1f);
// Clamp x.
__m512 x = _mm512_max_ps(_mm512_min_ps(_x, p16f_exp_hi), p16f_exp_lo);
// Express exp(x) as exp(m*ln(2) + r), start by extracting
// m = floor(x/ln(2) + 0.5).
__m512 m = _mm512_floor_ps(_mm512_fmadd_ps(x, p16f_cephes_LOG2EF, p16f_half));
// Get r = x - m*ln(2). If no FMA instructions are available, m*ln(2) is
// subtracted out in two parts, m*C1+m*C2 = m*ln(2), to avoid accumulating
// truncation errors. Note that we don't use the "pmadd" function here to
// ensure that a precision-preserving FMA instruction is used.
__m512 p16f_nln2 = _mm512_set1_ps(-0.6931471805599453f);
__m512 r = _mm512_fmadd_ps(m, p16f_nln2, x);
__m512 r2 = _mm512_mul_ps(r, r);
// TODO(gonnet): Split into odd/even polynomials and try to exploit
// instruction-level parallelism.
__m512 y = p16f_cephes_exp_p0;
y = _mm512_fmadd_ps(y, r, p16f_cephes_exp_p1);
y = _mm512_fmadd_ps(y, r, p16f_cephes_exp_p2);
y = _mm512_fmadd_ps(y, r, p16f_cephes_exp_p3);
y = _mm512_fmadd_ps(y, r, p16f_cephes_exp_p4);
y = _mm512_fmadd_ps(y, r, p16f_cephes_exp_p5);
y = _mm512_fmadd_ps(y, r2, r);
y = _mm512_add_ps(y, p16f_1);
// Build emm0 = 2^m.
__m512i emm0 = _mm512_cvttps_epi32(_mm512_add_ps(m, p16f_127));
emm0 = _mm512_slli_epi32(emm0, 23);
// Return 2^m * exp(r).
return _mm512_max_ps(_mm512_mul_ps(y, _mm512_castsi512_ps(emm0)), _x);
};
static inline __m512 erf_avx512(const __m512& src512) {
const __m512 coeff0 = _mm512_set1_ps(+7.853861353153693E-5);
const __m512 coeff1 = _mm512_set1_ps(-8.010193625184903E-4);
const __m512 coeff2 = _mm512_set1_ps(+5.188327685732524E-3);
const __m512 coeff3 = _mm512_set1_ps(-2.685381193529856E-2);
const __m512 coeff4 = _mm512_set1_ps(+1.128358514861418E-1);
const __m512 coeff5 = _mm512_set1_ps(-3.761262582423300E-1);
const __m512 coeff6 = _mm512_set1_ps(+1.128379165726710E+0);
__m512 dst512;
__m512 base512 = _mm512_mul_ps(src512, src512);
dst512 = _mm512_fmadd_ps(coeff0, base512, coeff1);
dst512 = _mm512_fmadd_ps(dst512, base512, coeff2);
dst512 = _mm512_fmadd_ps(dst512, base512, coeff3);
dst512 = _mm512_fmadd_ps(dst512, base512, coeff4);
dst512 = _mm512_fmadd_ps(dst512, base512, coeff5);
dst512 = _mm512_fmadd_ps(dst512, base512, coeff6);
dst512 = _mm512_mul_ps(dst512, src512);
return dst512;
}
static inline __m512 erfc_avx512(const __m512& src512) {
const __m512 Pcoeff0 = _mm512_set1_ps(+2.326819970068386E-2);
const __m512 Pcoeff1 = _mm512_set1_ps(-1.387039388740657E-1);
const __m512 Pcoeff2 = _mm512_set1_ps(+3.687424674597105E-1);
const __m512 Pcoeff3 = _mm512_set1_ps(-5.824733027278666E-1);
const __m512 Pcoeff4 = _mm512_set1_ps(+6.210004621745983E-1);
const __m512 Pcoeff5 = _mm512_set1_ps(-4.944515323274145E-1);
const __m512 Pcoeff6 = _mm512_set1_ps(+3.404879937665872E-1);
const __m512 Pcoeff7 = _mm512_set1_ps(-2.741127028184656E-1);
const __m512 Pcoeff8 = _mm512_set1_ps(+5.638259427386472E-1);
const __m512 Rcoeff0 = _mm512_set1_ps(-1.047766399936249E+1);
const __m512 Rcoeff1 = _mm512_set1_ps(+1.297719955372516E+1);
const __m512 Rcoeff2 = _mm512_set1_ps(-7.495518717768503E+0);
const __m512 Rcoeff3 = _mm512_set1_ps(+2.921019019210786E+0);
const __m512 Rcoeff4 = _mm512_set1_ps(-1.015265279202700E+0);
const __m512 Rcoeff5 = _mm512_set1_ps(+4.218463358204948E-1);
const __m512 Rcoeff6 = _mm512_set1_ps(-2.820767439740514E-1);
const __m512 Rcoeff7 = _mm512_set1_ps(+5.641895067754075E-1);
const __m512 one = _mm512_set1_ps(1.0);
const __m512 two = _mm512_set1_ps(2.0);
const __m512 zero = _mm512_set1_ps(0.0);
const __m512 MinorMaxlog = _mm512_set1_ps(-88.72283905206835);
__m512 abssrc = _mm512_abs_ps(src512);
__m512 nabssrc = _mm512_sub_ps(zero, abssrc);
__m512 v = _mm512_mul_ps(abssrc, nabssrc);
__m512 z = pexp(v);
__m512 q = _mm512_div_ps(one, abssrc);
__m512 y = _mm512_mul_ps(q, q);
__mmask16 PCoeff_mask = _mm512_cmp_ps_mask(abssrc, two, _CMP_LT_OQ); // < 2
__mmask16 RCoeff_mask = ~PCoeff_mask;
__m512 pP;
__m512 pR;
if (PCoeff_mask) {
pP = _mm512_fmadd_ps(Pcoeff0, y, Pcoeff1);
pP = _mm512_fmadd_ps(pP, y, Pcoeff2);
pP = _mm512_fmadd_ps(pP, y, Pcoeff3);
pP = _mm512_fmadd_ps(pP, y, Pcoeff4);
pP = _mm512_fmadd_ps(pP, y, Pcoeff5);
pP = _mm512_fmadd_ps(pP, y, Pcoeff6);
pP = _mm512_fmadd_ps(pP, y, Pcoeff7);
pP = _mm512_fmadd_ps(pP, y, Pcoeff8);
}
if (RCoeff_mask) {
pR = _mm512_fmadd_ps(Rcoeff0, y, Rcoeff1);
pR = _mm512_fmadd_ps(pR, y, Rcoeff2);
pR = _mm512_fmadd_ps(pR, y, Rcoeff3);
pR = _mm512_fmadd_ps(pR, y, Rcoeff4);
pR = _mm512_fmadd_ps(pR, y, Rcoeff5);
pR = _mm512_fmadd_ps(pR, y, Rcoeff6);
pR = _mm512_fmadd_ps(pR, y, Rcoeff7);
}
pP = _mm512_mask_mov_ps(pP, RCoeff_mask, pR);
// y = z * q * p;
// float y_clamp = z < -kMaxlog ? 0 : y;
// return x < 0 ? 2 - y_clamp : y_clamp;
y = _mm512_mul_ps(z, q);
y = _mm512_mul_ps(y, pP);
__mmask16 y_clamp_mask = _mm512_cmp_ps_mask(z, MinorMaxlog, _CMP_LT_OQ);
__m512 y_clamp = _mm512_mask_mov_ps(y, y_clamp_mask, zero);
__mmask16 x_mask = _mm512_cmp_ps_mask(src512, zero, _CMP_LT_OQ);
__m512 y_clamp2 = _mm512_sub_ps(two, y_clamp);
y = _mm512_mask_mov_ps(y_clamp, x_mask, y_clamp2);
y = _mm512_sub_ps(one, y);
return y;
}
#endif
template <typename T, typename Q>
inline void splitter(const T& n, const Q& team, const Q& tid, T& n_start,
T& n_end) {
if (team <= 1 || n == 0) {
n_start = 0;
n_end = n;
} else {
T n1 = (n + (T)team - 1) / (T)team;
T n2 = n1 - 1;
T T1 = n - n2 * (T)team;
n_end = (T)tid < T1 ? n1 : n2;
n_start = (T)tid <= T1 ? tid * n1 : T1 * n1 + ((T)tid - T1) * n2;
}
n_end += n_start;
}
template <typename T0, typename F>
void for_1d(const int& ithr, const int& nthr, const T0& D0, const F& func) {
T0 d0{0}, end{0};
splitter(D0, nthr, ithr, d0, end);
for (; d0 < end; ++d0) func(d0);
}
template <typename T0, typename F>
void parallel_for(const T0& D0, const F& func) {
#pragma omp parallel
for_1d(omp_get_thread_num(), omp_get_num_threads(), D0, func);
}
inline bool parallel_it_step() { return true; }
template <typename Q, typename R, typename... Args>
inline bool parallel_it_step(Q& x, const R& X, Args&&... tuple) {
if (parallel_it_step(static_cast<Args>(tuple)...)) {
x = (x + 1) % X;
return x == 0;
}
return false;
}
template <typename T>
inline T parallel_it_init(T start) {
return start;
}
template <typename T, typename Q, typename R, typename... Args>
inline T parallel_it_init(T start, Q& x, const R& X, Args&&... tuple) {
start = parallel_it_init(start, static_cast<Args>(tuple)...);
x = start % X;
return start / X;
}
template <typename T0, typename T1, typename F>
void for_2d(const int& ithr, const int& nthr, const T0& D0, const T1& D1,
const F& func) {
const size_t work_amount = (size_t)D0 * D1;
if (work_amount == 0) return;
size_t start{0}, end{0};
splitter(work_amount, nthr, ithr, start, end);
T0 d0{0};
T1 d1{0};
parallel_it_init(start, d0, D0, d1, D1);
for (size_t iwork = start; iwork < end; ++iwork) {
func(d0, d1);
parallel_it_step(d0, D0, d1, D1);
}
}
template <typename T0, typename T1, typename F>
void parallel_for2d(const T0& D0, const T1& D1, const F& func) {
#pragma omp parallel
for_2d(omp_get_thread_num(), omp_get_num_threads(), D0, D1, func);
}
const int block_size = 16;
typedef __m512 vec_type_f;
typedef __m512i vec_type_i;
typedef __mmask16 vmask_type;
using SizeVector = std::vector<int>;
inline int count(SizeVector dims, int start_ind, int end_ind) {
size_t count = 1;
for (size_t i = start_ind; i < end_ind; i++) count *= dims[i];
return static_cast<int>(count);
}
inline int count(SizeVector dims, size_t start_ind = 0) {
return count(dims, start_ind, dims.size());
}
static inline void _mm_uni_storeu_ps(float* pdst, const __m512& vec) {
_mm512_storeu_ps(pdst, vec);
}
static inline void _mm_uni_storeu_si(void* pdst, const __m512i vec) {
_mm512_storeu_si512(pdst, vec);
}
static inline __mmask16 _mm_uni_cmpgt_i32(__m512i vec0, __m512i vec1) {
return _mm512_cmp_epi32_mask(vec1, vec0, 1);
}
static inline __mmask16 _mm_uni_cmpgt_ps(__m512 vec0, __m512 vec1) {
return _mm512_cmp_ps_mask(vec0, vec1, 14);
}
static inline __m512 _mm_uni_any_ps() { return __m512{}; }
static inline __m512i _mm_uni_any_epi32() { return __m512i{}; }
static inline __m512i _mm_uni_set1_epi32(int value) {
return _mm512_mask_set1_epi32(_mm_uni_any_epi32(), (__mmask16)-1, value);
}
static inline __m512i _mm_uni_setzero_si() { return _mm512_setzero_si512(); }
static inline __m512 _mm_uni_blendv_ps(__m512 vec0, __m512 vec1, __m512 vmask) {
return _mm512_mask_blend_ps(
_mm512_cmpneq_epi32_mask(_mm512_castps_si512(vmask),
_mm_uni_set1_epi32(0)),
vec0, vec1);
}
static inline __m512 _mm_uni_blendv_ps(__m512 vec0, __m512 vec1,
__mmask16 vmask) {
return _mm512_mask_blend_ps(vmask, vec0, vec1);
}
struct cmpgt_ps {
static inline vmask_type cmp_ps(const __m512 _Left, const __m512 _Right) {
return _mm_uni_cmpgt_ps(_Left, _Right);
}
};
struct cmplt_ps {
static inline vmask_type cmp_ps(const __m512 _Left, const __m512 _Right) {
return _mm_uni_cmpgt_ps(_Right, _Left);
}
};
static inline __m512 _mm_uni_loadu_ps(const float* psrc) {
return _mm512_mask_loadu_ps(_mm_uni_any_ps(), (__mmask16)-1, psrc);
}
template <class Compare1, template <typename> class Compare2>
void top1_axis(const float* src_data, float* dst_data, int* dst_idx,
SizeVector in_dims, int32_t axis, int before_num, int dim,
int src_k, int count_vec, bool sort_value) {
int after_num = count(in_dims, axis + 1, in_dims.size());
int first_index = 0;
parallel_for2d(before_num, after_num / block_size, [&](int i0, int ib1) {
int s_index = i0 * dim * after_num + ib1 * block_size;
vec_type_f vmax_val = _mm_uni_loadu_ps(src_data + s_index);
vec_type_i vindex_max_val = _mm_uni_setzero_si();
for (int i2 = 1; i2 < dim; i2++) {
s_index += after_num;
vec_type_f vsrc = _mm_uni_loadu_ps(src_data + s_index);
vmask_type vmask = Compare1::cmp_ps(vsrc, vmax_val);
vmax_val = _mm_uni_blendv_ps(vmax_val, vsrc, vmask);
vec_type_i vindex_cur_val = _mm_uni_set1_epi32(i2);
vindex_max_val =
_mm512_mask_blend_epi32(vmask, vindex_max_val, vindex_cur_val);
}
if (dst_data)
_mm_uni_storeu_ps(dst_data + i0 * after_num + ib1 * block_size, vmax_val);
if (dst_idx)
_mm_uni_storeu_si(reinterpret_cast<vec_type_i*>(dst_idx + i0 * after_num +
ib1 * block_size),
vindex_max_val);
});
first_index = after_num / block_size * block_size;
int rest = after_num - first_index;
parallel_for2d(before_num, rest, [&](int i0, int i1) {
int index_max_val = 0;
int s_index = i0 * dim * after_num + first_index + i1;
float max_val = src_data[s_index];
for (int i2 = 1; i2 < dim; i2++) {
s_index += after_num;
if (Compare2<float>()(src_data[s_index], max_val)) {
max_val = src_data[s_index];
index_max_val = i2;
}
}
if (dst_data) dst_data[i0 * after_num + first_index + i1] = max_val;
if (dst_idx) dst_idx[i0 * after_num + first_index + i1] = index_max_val;
});
}
template <template <typename> class Compare>
void top1(const float* src_data, float* dst_data, int* dst_idx,
SizeVector in_dims, int32_t axis, int before_num, int dim, int src_k,
int count_vec, bool sort_value) {
parallel_for(before_num, [&](int i0) {
int index_max_val = 0;
int s_index = i0 * dim;
float max_val = src_data[s_index];
for (int i1 = 1; i1 < dim; i1++) {
s_index++;
if (Compare<float>()(src_data[s_index], max_val)) {
max_val = src_data[s_index];
index_max_val = i1;
}
}
if (dst_data) dst_data[i0] = max_val;
if (dst_idx) dst_idx[i0] = index_max_val;
});
}
template <class Compare1, template <typename> class Compare2>
void topk_axis(const float* src_data, float* dst_data, int* dst_idx,
SizeVector in_dims, int32_t axis, int before_num, int dim,
int src_k, int count_vec, bool sort_value) {
int after_num = count(in_dims, axis + 1, in_dims.size());
int first_index = 0;
if (src_k < count_vec) {
parallel_for2d(before_num, after_num / block_size, [&](int i0, int ib1) {
const int N = 32;
vec_type_f vmax_values[N];
vec_type_i vmax_indexes[N];
vec_type_f vtmp;
vec_type_i vtmp_indexes;
vmask_type vmask;
int s_index = i0 * dim * after_num + ib1 * block_size;
auto vswap_func = [&](int index1, int index2) {
vtmp = vmax_values[index1];
vmax_values[index1] =
_mm_uni_blendv_ps(vmax_values[index1], vmax_values[index2], vmask);
vmax_values[index2] =
_mm_uni_blendv_ps(vmax_values[index2], vtmp, vmask);
vtmp_indexes = vmax_indexes[index1];
vmax_indexes[index1] = _mm512_mask_blend_epi32(
vmask, vmax_indexes[index1], vmax_indexes[index2]);
vmax_indexes[index2] =
_mm512_mask_blend_epi32(vmask, vmax_indexes[index2], vtmp_indexes);
};
for (int i2 = 0; i2 < src_k; i2++) {
vmax_values[i2] = _mm_uni_loadu_ps(src_data + s_index);
vmax_indexes[i2] = _mm_uni_set1_epi32(i2);
s_index += after_num;
}
for (int i2 = 0; i2 < src_k - 1; i2++) {
for (int i3 = src_k - 1; i3 > i2; i3--) {
vmask = Compare1::cmp_ps(vmax_values[i3], vmax_values[i3 - 1]);
if (vmask) vswap_func(i3, i3 - 1);
}
}
for (int i2 = src_k; i2 < dim; i2++) {
vmax_values[src_k] = _mm_uni_loadu_ps(src_data + s_index);
vmax_indexes[src_k] = _mm_uni_set1_epi32(i2);
for (int i3 = src_k; i3 > 0; i3--) {
vmask = Compare1::cmp_ps(vmax_values[i3], vmax_values[i3 - 1]);
if (vmask)
vswap_func(i3, i3 - 1);
else
break;
}
s_index += after_num;
}
if (!sort_value) {
for (int i2 = 0; i2 < src_k - 1; i2++) {
for (int i3 = src_k - 1; i3 > i2; i3--) {
vmask = _mm_uni_cmpgt_i32(vmax_indexes[i3 - 1], vmax_indexes[i3]);
if (vmask)
vswap_func(i3, i3 - 1);
else
break;
}
}
}
if (dst_data) {
for (int i2 = 0; i2 < src_k; i2++)
_mm_uni_storeu_ps(
dst_data + (i0 * src_k + i2) * after_num + ib1 * block_size,
vmax_values[i2]);
}
if (dst_idx) {
for (int i2 = 0; i2 < src_k; i2++)
_mm_uni_storeu_si(
reinterpret_cast<vec_type_i*>(
dst_idx + (i0 * src_k + i2) * after_num + ib1 * block_size),
vmax_indexes[i2]);
}
});
first_index = after_num / block_size * block_size;
}
int rest = after_num - first_index;
parallel_for2d(before_num, rest, [&](int i0, int i1) {
std::vector<float> max_values(src_k + 1);
std::vector<int> max_indexes(src_k + 1);
float tmp_value;
int tmp_index;
int s_index = i0 * dim * after_num + first_index + i1;
auto swap_func = [&](int index1, int index2) {
tmp_value = max_values[index1];
max_values[index1] = max_values[index2];
max_values[index2] = tmp_value;
tmp_index = max_indexes[index1];
max_indexes[index1] = max_indexes[index2];
max_indexes[index2] = tmp_index;
};
for (int i2 = 0; i2 < src_k; i2++) {
max_values[i2] = src_data[s_index];
max_indexes[i2] = i2;
s_index += after_num;
}
for (int i2 = 0; i2 < src_k - 1; i2++) {
for (int i3 = src_k - 1; i3 > i2; i3--) {
if (Compare2<float>()(max_values[i3], max_values[i3 - 1])) {
swap_func(i3, i3 - 1);
}
}
}
for (int i2 = src_k; i2 < dim; i2++) {
max_values[src_k] = src_data[s_index];
max_indexes[src_k] = i2;
for (int i3 = src_k; i3 > 0; i3--) {
if (Compare2<float>()(max_values[i3], max_values[i3 - 1]))
swap_func(i3, i3 - 1);
else
break;
}
s_index += after_num;
}
if (!sort_value) {
for (int i2 = 0; i2 < src_k - 1; i2++) {
for (int i3 = src_k - 1; i3 > i2; i3--) {
if (std::greater<int>()(max_indexes[i3 - 1], max_indexes[i3])) {
swap_func(i3, i3 - 1);
}
}
}
}
if (dst_data) {
for (int i2 = 0; i2 < src_k; i2++)
dst_data[i0 * src_k * after_num + i2 * after_num + first_index + i1] =
max_values[i2];
}
if (dst_idx) {
for (int i2 = 0; i2 < src_k; i2++)
dst_idx[i0 * src_k * after_num + i2 * after_num + first_index + i1] =
max_indexes[i2];
}
});
}
template <template <typename> class Compare>
void topk(const float* src_data, float* dst_data, int* dst_idx,
SizeVector in_dims, int32_t axis, int before_num, int dim, int src_k,
int count_vec, bool sort_value) {
parallel_for(before_num, [&](int i0) {
std::vector<float> max_values(src_k + 1);
std::vector<int> max_indexes(src_k + 1);
float tmp_value;
int tmp_index;
int s_index = i0 * dim;
auto swap_func = [&](int index1, int index2) {
tmp_value = max_values[index1];
max_values[index1] = max_values[index2];
max_values[index2] = tmp_value;
tmp_index = max_indexes[index1];
max_indexes[index1] = max_indexes[index2];
max_indexes[index2] = tmp_index;
};
for (int i2 = 0; i2 < src_k; i2++) {
max_values[i2] = src_data[s_index];
max_indexes[i2] = i2;
s_index++;
}
for (int i2 = 0; i2 < src_k - 1; i2++) {
for (int i3 = src_k - 1; i3 > i2; i3--) {
if (Compare<float>()(max_values[i3], max_values[i3 - 1])) {
swap_func(i3, i3 - 1);
}
}
}
for (int i2 = src_k; i2 < dim; i2++) {
max_values[src_k] = src_data[s_index];
max_indexes[src_k] = i2;
for (int i3 = src_k; i3 > 0; i3--) {
if (Compare<float>()(max_values[i3], max_values[i3 - 1]))
swap_func(i3, i3 - 1);
else
break;
}
s_index++;
}
if (!sort_value) {
for (int i2 = 0; i2 < src_k - 1; i2++) {
for (int i3 = src_k - 1; i3 > i2; i3--) {
if (std::greater<int>()(max_indexes[i3 - 1], max_indexes[i3])) {
swap_func(i3, i3 - 1);
}
}
}
}
if (dst_data) {
for (int i2 = 0; i2 < src_k; i2++)
dst_data[i0 * src_k + i2] = max_values[i2];
}
if (dst_idx) {
for (int i2 = 0; i2 < src_k; i2++)
dst_idx[i0 * src_k + i2] = max_indexes[i2];
}
});
}
void topk_func(float* src, float* dst_data, int* dst_idx,
std::vector<int32_t> src_dims, uint32_t K, bool largest,
bool sorted, uint32_t axis) {
auto in_dims = src_dims;
size_t axis_dim;
size_t axis_stride = 1;
size_t axis_step = 1;
int count_vec = 32;
bool is_last_dim = false;
int src_k = K;
bool mode_max, sort_value;
int dim, before_num;
int axis_ = -1;
if (axis_ < 0) axis_ += src_dims.size();
axis = static_cast<size_t>(axis_);
if (largest)
mode_max = true;
else
mode_max = false;
if (sorted)
sort_value = true;
else
sort_value = false;
int j;
for (j = src_dims.size() - 1; j >= 0; j--) {
if (src_dims[j] != 1) break;
}
if (static_cast<size_t>(j) == axis) is_last_dim = true;
for (size_t i = 0; i < axis; i++) {
axis_step *= src_dims[i];
}
axis_dim = src_dims[axis];
for (size_t i = (axis + 1); i < src_dims.size(); i++) {
axis_stride *= src_dims[i];
}
dim = static_cast<int>(src_dims[axis]);
before_num = count(src_dims, 0, axis);
if (src_k == 1) {
if (is_last_dim) {
if (mode_max)
top1<std::greater>(src, dst_data, dst_idx, in_dims, axis, before_num,
dim, src_k, count_vec, sort_value);
else
top1<std::less>(src, dst_data, dst_idx, in_dims, axis, before_num, dim,
src_k, count_vec, sort_value);
} else {
if (mode_max)
top1_axis<cmpgt_ps, std::greater>(src, dst_data, dst_idx, in_dims, axis,
before_num, dim, src_k, count_vec,
sort_value);
else
top1_axis<cmplt_ps, std::less>(src, dst_data, dst_idx, in_dims, axis,
before_num, dim, src_k, count_vec,
sort_value);
}
} else {
if (is_last_dim) {
if (mode_max) {
topk<std::greater>(src, dst_data, dst_idx, in_dims, axis, before_num,
dim, src_k, count_vec, sort_value);
} else
topk<std::less>(src, dst_data, dst_idx, in_dims, axis, before_num, dim,
src_k, count_vec, sort_value);
} else {
if (mode_max)
topk_axis<cmpgt_ps, std::greater>(src, dst_data, dst_idx, in_dims, axis,
before_num, dim, src_k, count_vec,
sort_value);
else
topk_axis<cmplt_ps, std::less>(src, dst_data, dst_idx, in_dims, axis,
before_num, dim, src_k, count_vec,
sort_value);
}
}
}
#if defined(__GNUC__) && (__GNUC__ > 9)
static __m512 __mm512_fake_erf(__m512 src) {
auto abssrc = _mm512_abs_ps(src);
__mmask16 erf_mask =
_mm512_cmp_ps_mask(abssrc, _mm512_set1_ps(1.0), _CMP_LT_OQ); // < 1
__m512 dst512 = erf_avx512(src);
__m512 dstc512 = erfc_avx512(src);
return _mm512_mask_blend_ps(erf_mask, dstc512, dst512);
}
static void erf_func(float* src, float* dst, size_t len) {
int i;
for (i = 0; i + 16 <= len; i += 16) {
__m512 src512 = _mm512_loadu_ps(src + i);
__m512 abssrc = _mm512_abs_ps(src512);
__mmask16 erf_mask =
_mm512_cmp_ps_mask(abssrc, _mm512_set1_ps(1.0), _CMP_LT_OQ); // < 1
__mmask16 erfc_mask = ~erf_mask;
auto dst512 = __mm512_fake_erf(src512);
_mm512_storeu_ps(dst + i, dst512);
}
int remain = len - i;
if (remain) {
__mmask16 mask = 0xffff;
mask = mask >> (16 - remain);
__m512 src512 = _mm512_maskz_loadu_ps(mask, src + i);
__mmask16 erf_mask =
_mm512_cmp_ps_mask(src512, _mm512_set1_ps(1.0), _CMP_LT_OQ); // < 1
__mmask16 erfc_mask = ~erf_mask;
auto dst512 = __mm512_fake_erf(src512);
_mm512_mask_storeu_ps(dst + i, mask, dst512);
// printf("erf_p remain...\n");
}
return;
}
#else
static void erf_func(float* src, float* dst, size_t len) { assert(0); }
#endif
#if defined(__GNUC__) && (__GNUC__ > 9)
static void erf_bf16_func(int16_t* src, float* dst, size_t len) {
int i = 0;
int vec_size = 512 / 16;
__mmask16 mask16 = 0xFFFF;
for (; i <= len - vec_size; i += vec_size) {
auto a0 = _mm512_cvtbf16f32_load(mask16, src + i);
auto a1 = _mm512_cvtbf16f32_load(mask16, src + i + 16);
auto erf_dst_a0 = __mm512_fake_erf(a0);
auto erf_dst_a1 = __mm512_fake_erf(a1);
auto C_bf16 = _mm512_cvtne2ps_pbh(erf_dst_a1, erf_dst_a0);
_mm512_mask_storeu_ps(dst + i / 2, mask16, _mm512_castsi512_ps(C_bf16));
}
if ((len - i) > 16) {
auto a0 = _mm512_cvtbf16f32_load(mask16, src + i);
auto out0 = __mm512_fake_erf(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_storeu_ps(dst + i / 2, _mm256_castsi256_ps(C_bf16));
i += 16;
}
if (len - i) {
auto tail_mask = calculat_offset(len - i, vec_size);
auto a0 = _mm512_cvtbf16f32_load(tail_mask, src + i);
auto out0 = __mm512_fake_erf(a0);
auto C_bf16 = _mm512_cvtneps_pbh(out0);
_mm256_mask_storeu_ps(dst + i, tail_mask, _mm256_castsi256_ps(C_bf16));
}
return;
}
#else
static void erf_bf16_func(int16_t* src, float* dst, size_t len) { assert(0); }
#endif
// nms function related
enum class boxEncoding { CORNER, CENTER };
struct filteredBoxes {
float score;
int class_index;
int box_index;
filteredBoxes() : score(0), class_index(0), box_index(0) {}
filteredBoxes(float _score, int _class_index, int _box_index)
: score(_score), class_index(_class_index), box_index(_box_index) {}
};
struct Box {
float score;
int class_index;
int box_index;
Box() {}
Box(float _score, int _class_index, int _box_index)
: score(_score), class_index(_class_index), box_index(_box_index) {}
};
void nms_func(float* boxes, float* scores, size_t batch_idx, size_t class_num,
size_t num_boxes, size_t max_num_outputs, float score_threshold,
float iou_threshold, int32_t* output_indices) {
auto intersectionOverUnion = [](const float* boxesI, const float* boxesJ,
boxEncoding boxEncodingType) {
float yminI, xminI, ymaxI, xmaxI, yminJ, xminJ, ymaxJ, xmaxJ;
if (boxEncodingType == boxEncoding::CENTER) {
// box format: x_center, y_center, width, height
yminI = boxesI[1] - boxesI[3] / 2.f;
xminI = boxesI[0] - boxesI[2] / 2.f;
ymaxI = boxesI[1] + boxesI[3] / 2.f;
xmaxI = boxesI[0] + boxesI[2] / 2.f;
yminJ = boxesJ[1] - boxesJ[3] / 2.f;
xminJ = boxesJ[0] - boxesJ[2] / 2.f;
ymaxJ = boxesJ[1] + boxesJ[3] / 2.f;
xmaxJ = boxesJ[0] + boxesJ[2] / 2.f;
} else {
// box format: y1, x1, y2, x2
yminI = (std::min)(boxesI[0], boxesI[2]);
xminI = (std::min)(boxesI[1], boxesI[3]);
ymaxI = (std::max)(boxesI[0], boxesI[2]);
xmaxI = (std::max)(boxesI[1], boxesI[3]);
yminJ = (std::min)(boxesJ[0], boxesJ[2]);
xminJ = (std::min)(boxesJ[1], boxesJ[3]);
ymaxJ = (std::max)(boxesJ[0], boxesJ[2]);
xmaxJ = (std::max)(boxesJ[1], boxesJ[3]);
}
float areaI = (ymaxI - yminI) * (xmaxI - xminI);
float areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);
if (areaI <= 0.f || areaJ <= 0.f) return 0.f;
float intersection_area =
(std::max)((std::min)(ymaxI, ymaxJ) - (std::max)(yminI, yminJ), 0.f) *
(std::max)((std::min)(xmaxI, xmaxJ) - (std::max)(xminI, xminJ), 0.f);
return intersection_area / (areaI + areaJ - intersection_area);
};
size_t numFiltBox;
bool sort_result_descending = true;
boxEncoding boxEncodingType = boxEncoding::CORNER;
if (max_num_outputs == 0) {
return;
}
std::vector<filteredBoxes> filtBoxes(num_boxes);
std::vector<Box> sorted_boxes;
for (int box_idx = 0; box_idx < num_boxes; box_idx++) {
float* scores_ptr = scores + box_idx * class_num;
int idx = std::max_element(scores_ptr, scores_ptr + class_num) - scores_ptr;
float score = scores_ptr[idx];
if (score > score_threshold) {
sorted_boxes.emplace_back(Box(score, idx, box_idx));
}
}
int io_selection_size = 0;
if (sorted_boxes.size() > 0) {
auto _compare = [](const Box l, const Box r) {
return (l.score > r.score ||
((l.score == r.score) && (l.box_index < r.box_index)));
};
std::sort(sorted_boxes.begin(), sorted_boxes.end(), _compare);
for (int i = 0; i < sorted_boxes.size(); i++) {
auto score = sorted_boxes[i].score;
auto idx = sorted_boxes[i].class_index;
auto box_idx = sorted_boxes[i].box_index;
}
filtBoxes[0] =
filteredBoxes(sorted_boxes[0].score, sorted_boxes[0].class_index,
sorted_boxes[0].box_index);
io_selection_size++;
for (size_t box_idx = 1; (box_idx < sorted_boxes.size()) &&
(io_selection_size < max_num_outputs);
box_idx++) {
bool box_is_selected = true;
for (int idx = io_selection_size - 1; idx >= 0; idx--) {
float iou = intersectionOverUnion(
&boxes[sorted_boxes[box_idx].box_index * 4],
&boxes[filtBoxes[idx].box_index * 4], boxEncodingType);
if (iou >= iou_threshold) {
box_is_selected = false;
break;
}
}
if (box_is_selected) {
filtBoxes[io_selection_size] = filteredBoxes(
sorted_boxes[box_idx].score, sorted_boxes[box_idx].class_index,
sorted_boxes[box_idx].box_index);
io_selection_size++;
}
}
}
numFiltBox = io_selection_size;
memset(output_indices, max_num_outputs * 3, 0);
memset(output_indices, max_num_outputs, batch_idx);
for (size_t idx = 0; idx < numFiltBox; idx++) {
output_indices[max_num_outputs + 2 * idx] = filtBoxes[idx].class_index;
output_indices[max_num_outputs + 2 * idx + 1] = filtBoxes[idx].box_index;
}
}
} // namespace dnnl_utils
|
matmul.c | #include <stdlib.h>
#include <sys/time.h>
#include <stdio.h>
#include <math.h>
//#define _OPENACCM
#ifdef _OPENACCM
#include <openacc.h>
#endif
#ifdef _OPENMP
#include <omp.h>
#endif
#ifndef _N_
#define _N_ 512
#endif
#ifdef HOST_MEM_ALIGNMENT
#include <malloc.h>
#define malloc(size) valloc(size)
#endif
int N = _N_;
int M = _N_;
int P = _N_;
double my_timer ()
{
struct timeval time;
gettimeofday (&time, 0);
return time.tv_sec + time.tv_usec / 1000000.0;
}
void
MatrixMultiplication_openacc(float * a, float * b, float * c)
{
int i, j, k ;
#ifdef _OPENACCM
acc_init(acc_device_default);
#endif
#pragma acc kernels loop independent gang worker collapse(2) copyout(a[0:(M*N)]), copyin(b[0:(M*P)],c[0:(P*N)])
for (i=0; i<M; i++){
for (j=0; j<N; j++) {
float sum = 0.0 ;
#pragma acc loop seq
for (k=0; k<P; k++) {
sum += b[i*P+k]*c[k*N+j] ;
}
a[i*N+j] = sum ;
}
}
#ifdef _OPENACCM
acc_shutdown(acc_device_default);
#endif
}
void
MatrixMultiplication_openmp(float * a,float * b, float * c)
{
int i, j, k ;
int chunk = N/4;
#pragma omp parallel shared(a,b,c,chunk) private(i,j,k)
{
#ifdef _OPENMP
if(omp_get_thread_num() == 0) {
printf("Number of OpenMP threads %d\n", omp_get_num_threads());
}
#endif
#pragma omp for
for (i=0; i<M; i++){
for (j=0; j<N; j++)
{
float sum = 0.0 ;
for (k=0; k<P; k++)
sum += b[i*P+k]*c[k*N+j] ;
a[i*N+j] = sum ;
}
}
}
}
int main()
{
float *a, *b, *c;
float *a_CPU, *b_CPU, *c_CPU;
int i,j;
double elapsed_time;
a = (float *) malloc(M*N*sizeof(float));
b = (float *) malloc(M*P*sizeof(float));
c = (float *) malloc(P*N*sizeof(float));
a_CPU = (float *) malloc(M*N*sizeof(float));
b_CPU = (float *) malloc(M*P*sizeof(float));
c_CPU = (float *) malloc(P*N*sizeof(float));
for (i = 0; i < M*N; i++) {
a[i] = (float) 0.0F;
a_CPU[i] = (float) 0.0F;
}
for (i = 0; i < M*P; i++) {
b[i] = (float) i;
b_CPU[i] = (float) i;
}
for (i = 0; i < P*N; i++) {
c[i] = (float) 1.0F;
c_CPU[i] = (float) 1.0F;
}
elapsed_time = my_timer();
MatrixMultiplication_openmp(a_CPU,b_CPU,c_CPU);
elapsed_time = my_timer() - elapsed_time;
printf("CPU Elapsed time = %lf sec\n", elapsed_time);
elapsed_time = my_timer();
MatrixMultiplication_openacc(a,b,c);
elapsed_time = my_timer() - elapsed_time;
printf("Accelerator Elapsed time = %lf sec\n", elapsed_time);
#if VERIFICATION == 1
{
double cpu_sum = 0.0;
double gpu_sum = 0.0;
double rel_err = 0.0;
for (i=0; i<M*N; i++){
cpu_sum += a_CPU[i]*a_CPU[i];
gpu_sum += a[i]*a[i];
}
cpu_sum = sqrt(cpu_sum);
gpu_sum = sqrt(gpu_sum);
if( cpu_sum > gpu_sum ) {
rel_err = (cpu_sum-gpu_sum)/cpu_sum;
} else {
rel_err = (gpu_sum-cpu_sum)/cpu_sum;
}
if(rel_err < 1e-6)
{
printf("Verification Successful err = %e\n", rel_err);
}
else
{
printf("Verification Fail err = %e\n", rel_err);
}
}
#endif
free(a_CPU);
free(b_CPU);
free(c_CPU);
free(a);
free(b);
free(c);
return 0;
}
|
GB_binop__bxor_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 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__bxor_uint64)
// A.*B function (eWiseMult): GB (_AemultB_01__bxor_uint64)
// A.*B function (eWiseMult): GB (_AemultB_02__bxor_uint64)
// A.*B function (eWiseMult): GB (_AemultB_03__bxor_uint64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__bxor_uint64)
// A*D function (colscale): GB (_AxD__bxor_uint64)
// D*A function (rowscale): GB (_DxB__bxor_uint64)
// C+=B function (dense accum): GB (_Cdense_accumB__bxor_uint64)
// C+=b function (dense accum): GB (_Cdense_accumb__bxor_uint64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__bxor_uint64)
// C=scalar+B GB (_bind1st__bxor_uint64)
// C=scalar+B' GB (_bind1st_tran__bxor_uint64)
// C=A+scalar GB (_bind2nd__bxor_uint64)
// C=A'+scalar GB (_bind2nd_tran__bxor_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,A_iso) \
uint64_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint64_t bij = GBX (Bx, pB, B_iso)
// 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,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_BXOR || GxB_NO_UINT64 || GxB_NO_BXOR_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__bxor_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__bxor_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__bxor_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__bxor_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_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__bxor_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_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__bxor_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__bxor_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__bxor_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__bxor_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__bxor_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__bxor_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 bnz,
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 < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint64_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__bxor_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 = 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) \
{ \
uint64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x) ^ (aij) ; \
}
GrB_Info GB (_bind1st_tran__bxor_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 = GBX (Ax, pA, false) ; \
Cx [pC] = (aij) ^ (y) ; \
}
GrB_Info GB (_bind2nd_tran__bxor_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
|
GB_binop__minus_int16.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__minus_int16)
// A.*B function (eWiseMult): GB (_AemultB_08__minus_int16)
// A.*B function (eWiseMult): GB (_AemultB_02__minus_int16)
// A.*B function (eWiseMult): GB (_AemultB_04__minus_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__minus_int16)
// A*D function (colscale): GB (_AxD__minus_int16)
// D*A function (rowscale): GB (_DxB__minus_int16)
// C+=B function (dense accum): GB (_Cdense_accumB__minus_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__minus_int16)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__minus_int16)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__minus_int16)
// C=scalar+B GB (_bind1st__minus_int16)
// C=scalar+B' GB (_bind1st_tran__minus_int16)
// C=A+scalar GB (_bind2nd__minus_int16)
// C=A'+scalar GB (_bind2nd_tran__minus_int16)
// C type: int16_t
// A type: int16_t
// B,b type: int16_t
// BinaryOp: cij = (aij - bij)
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
int16_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) \
int16_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int16_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int16_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 = (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_MINUS || GxB_NO_INT16 || GxB_NO_MINUS_INT16)
//------------------------------------------------------------------------------
// 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__minus_int16)
(
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__minus_int16)
(
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__minus_int16)
(
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__minus_int16)
(
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 int16_t
int16_t bwork = (*((int16_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__minus_int16)
(
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
int16_t *restrict Cx = (int16_t *) 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__minus_int16)
(
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
int16_t *restrict Cx = (int16_t *) 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__minus_int16)
(
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, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__minus_int16)
(
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__minus_int16)
(
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__minus_int16)
(
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__minus_int16)
(
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__minus_int16)
(
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
int16_t *Cx = (int16_t *) Cx_output ;
int16_t x = (*((int16_t *) x_input)) ;
int16_t *Bx = (int16_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 ;
int16_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__minus_int16)
(
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 ;
int16_t *Cx = (int16_t *) Cx_output ;
int16_t *Ax = (int16_t *) Ax_input ;
int16_t y = (*((int16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int16_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) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x - aij) ; \
}
GrB_Info GB (_bind1st_tran__minus_int16)
(
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 \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_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) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij - y) ; \
}
GrB_Info GB (_bind2nd_tran__minus_int16)
(
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
int16_t y = (*((const int16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
map-1.c | /* { dg-do compile } */
/* { dg-options "-fopenmp" } */
extern int a[][10], a2[][10];
int b[10], c[10][2], d[10], e[10], f[10];
int b2[10], c2[10][2], d2[10], e2[10], f2[10];
int k[10], l[10], m[10], n[10], o;
int *p;
int **q;
int r[4][4][4][4][4];
extern struct s s1;
extern struct s s2[1]; /* { dg-error "array type has incomplete element type" "" { target c } } */
int t[10];
#pragma omp threadprivate (t)
#pragma omp declare target
void bar (int *);
#pragma omp end declare target
void
foo (int g[3][10], int h[4][8], int i[2][10], int j[][9],
int g2[3][10], int h2[4][8], int i2[2][10], int j2[][9])
{
#pragma omp target map(to: bar[2:5]) /* { dg-error "is not a variable" } */
;
#pragma omp target map(from: t[2:5]) /* { dg-error "is threadprivate variable" } */
;
#pragma omp target map(tofrom: k[0.5:]) /* { dg-error "low bound \[^\n\r]* of array section does not have integral type" } */
;
#pragma omp target map(from: l[:7.5f]) /* { dg-error "length \[^\n\r]* of array section does not have integral type" } */
;
#pragma omp target map(to: m[p:]) /* { dg-error "low bound \[^\n\r]* of array section does not have integral type" } */
;
#pragma omp target map(tofrom: n[:p]) /* { dg-error "length \[^\n\r]* of array section does not have integral type" } */
;
#pragma omp target map(to: o[2:5]) /* { dg-error "does not have pointer or array type" } */
;
#pragma omp target map(alloc: s1) /* { dg-error "'s1' does not have a mappable type in 'map' clause" } */
;
#pragma omp target map(alloc: s2) /* { dg-error "'s2' does not have a mappable type in 'map' clause" } */
;
#pragma omp target map(to: a[:][:]) /* { dg-error "array type length expression must be specified" } */
bar (&a[0][0]); /* { dg-error "referenced in target region does not have a mappable type" } */
#pragma omp target map(tofrom: b[-1:]) /* { dg-error "negative low bound in array section" } */
bar (b);
#pragma omp target map(tofrom: c[:-3][:]) /* { dg-error "negative length in array section" } */
bar (&c[0][0]);
#pragma omp target map(from: d[11:]) /* { dg-error "low bound \[^\n\r]* above array section size" } */
bar (d);
#pragma omp target map(to: e[:11]) /* { dg-error "length \[^\n\r]* above array section size" } */
bar (e);
#pragma omp target map(to: f[1:10]) /* { dg-error "high bound \[^\n\r]* above array section size" } */
bar (f);
#pragma omp target map(from: g[:][0:10]) /* { dg-error "for pointer type length expression must be specified" } */
bar (&g[0][0]);
#pragma omp target map(from: h[2:1][-1:]) /* { dg-error "negative low bound in array section" } */
bar (&h[0][0]);
#pragma omp target map(tofrom: h[:1][:-3]) /* { dg-error "negative length in array section" } */
bar (&h[0][0]);
#pragma omp target map(i[:1][11:]) /* { dg-error "low bound \[^\n\r]* above array section size" } */
bar (&i[0][0]);
#pragma omp target map(from: j[3:1][:10]) /* { dg-error "length \[^\n\r]* above array section size" } */
bar (&j[0][0]);
#pragma omp target map(to: j[30:1][5:5]) /* { dg-error "high bound \[^\n\r]* above array section size" } */
bar (&j[0][0]);
#pragma omp target map(to: a2[:1][2:4])
bar (&a2[0][0]);
#pragma omp target map(a2[3:5][:])
bar (&a2[0][0]);
#pragma omp target map(to: a2[3:5][:10])
bar (&a2[0][0]);
#pragma omp target map(tofrom: b2[0:])
bar (b2);
#pragma omp target map(tofrom: c2[:3][:])
bar (&c2[0][0]);
#pragma omp target map(from: d2[9:])
bar (d2);
#pragma omp target map(to: e2[:10])
bar (e2);
#pragma omp target map(to: f2[1:9])
bar (f2);
#pragma omp target map(g2[:1][2:4])
bar (&g2[0][0]);
#pragma omp target map(from: h2[2:2][0:])
bar (&h2[0][0]);
#pragma omp target map(tofrom: h2[:1][:3])
bar (&h2[0][0]);
#pragma omp target map(to: i2[:1][9:])
bar (&i2[0][0]);
#pragma omp target map(from: j2[3:4][:9])
bar (&j2[0][0]);
#pragma omp target map(to: j2[30:1][5:4])
bar (&j2[0][0]);
#pragma omp target map(q[1:2])
;
#pragma omp target map(tofrom: q[3:5][:10]) /* { dg-error "array section is not contiguous" } */
;
#pragma omp target map(r[3:][2:1][1:2])
;
#pragma omp target map(r[3:][2:1][1:2][:][0:4])
;
#pragma omp target map(r[3:][2:1][1:2][1:][0:4]) /* { dg-error "array section is not contiguous" } */
;
#pragma omp target map(r[3:][2:1][1:2][:3][0:4]) /* { dg-error "array section is not contiguous" } */
;
#pragma omp target map(r[3:][2:1][1:2][:][1:]) /* { dg-error "array section is not contiguous" } */
;
#pragma omp target map(r[3:][2:1][1:2][:][:3]) /* { dg-error "array section is not contiguous" } */
;
}
|
GB_binop__lxor_int16.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__lxor_int16)
// A.*B function (eWiseMult): GB (_AemultB_08__lxor_int16)
// A.*B function (eWiseMult): GB (_AemultB_02__lxor_int16)
// A.*B function (eWiseMult): GB (_AemultB_04__lxor_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__lxor_int16)
// A*D function (colscale): GB (_AxD__lxor_int16)
// D*A function (rowscale): GB (_DxB__lxor_int16)
// C+=B function (dense accum): GB (_Cdense_accumB__lxor_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__lxor_int16)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__lxor_int16)
// C=scalar+B GB (_bind1st__lxor_int16)
// C=scalar+B' GB (_bind1st_tran__lxor_int16)
// C=A+scalar GB (_bind2nd__lxor_int16)
// C=A'+scalar GB (_bind2nd_tran__lxor_int16)
// C type: int16_t
// A type: int16_t
// A pattern? 0
// B type: int16_t
// B pattern? 0
// BinaryOp: cij = ((aij != 0) != (bij != 0))
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
int16_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) \
int16_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) \
int16_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) \
int16_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 = ((x != 0) != (y != 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_LXOR || GxB_NO_INT16 || GxB_NO_LXOR_INT16)
//------------------------------------------------------------------------------
// 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__lxor_int16)
(
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__lxor_int16)
(
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__lxor_int16)
(
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 int16_t
int16_t bwork = (*((int16_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__lxor_int16)
(
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
int16_t *restrict Cx = (int16_t *) 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__lxor_int16)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) 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__lxor_int16)
(
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) ;
int16_t alpha_scalar ;
int16_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int16_t *) alpha_scalar_in)) ;
beta_scalar = (*((int16_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__lxor_int16)
(
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__lxor_int16)
(
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__lxor_int16)
(
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__lxor_int16)
(
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__lxor_int16)
(
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
int16_t *Cx = (int16_t *) Cx_output ;
int16_t x = (*((int16_t *) x_input)) ;
int16_t *Bx = (int16_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 ;
int16_t bij = GBX (Bx, p, false) ;
Cx [p] = ((x != 0) != (bij != 0)) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__lxor_int16)
(
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 ;
int16_t *Cx = (int16_t *) Cx_output ;
int16_t *Ax = (int16_t *) Ax_input ;
int16_t y = (*((int16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int16_t aij = GBX (Ax, p, false) ;
Cx [p] = ((aij != 0) != (y != 0)) ;
}
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) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = ((x != 0) != (aij != 0)) ; \
}
GrB_Info GB (_bind1st_tran__lxor_int16)
(
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 \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_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) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = ((aij != 0) != (y != 0)) ; \
}
GrB_Info GB (_bind2nd_tran__lxor_int16)
(
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
int16_t y = (*((const int16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
parallel-simple.c | /*
* parallel-simple.c -- Archer testcase
*/
//===----------------------------------------------------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
//
// See tools/archer/LICENSE.txt for details.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
// RUN: %libarcher-compile-and-run | FileCheck %s
// REQUIRES: tsan
#include <omp.h>
#include <stdio.h>
int main(int argc, char *argv[]) {
int var = 0;
#pragma omp parallel num_threads(2) shared(var)
{
if (omp_get_thread_num() == 1) {
var++;
}
} // implicit barrier
var++;
fprintf(stderr, "DONE\n");
int error = (var != 2);
return error;
}
// CHECK-NOT: ThreadSanitizer: data race
// CHECK-NOT: ThreadSanitizer: reported
// CHECK: DONE
|
wip_7b843.c | #define _POSIX_C_SOURCE 200809L
#include "stdlib.h"
#include "math.h"
#include "sys/time.h"
#include "xmmintrin.h"
#include "pmmintrin.h"
#include "omp.h"
#include <stdio.h>
#define min(a, b) (((a) < (b)) ? (a) : (b))
#define max(a, b) (((a) > (b)) ? (a) : (b))
struct dataobj
{
void *restrict data;
int *size;
int *npsize;
int *dsize;
int *hsize;
int *hofs;
int *oofs;
};
struct profiler
{
double section0;
double section1;
double section2;
};
void bf0(struct dataobj *restrict damp_vec, const float dt, struct dataobj *restrict epsilon_vec, float *restrict r17_vec, float *restrict r18_vec, float *restrict r19_vec, float *restrict r20_vec, float *restrict r21_vec, struct dataobj *restrict u_vec, struct dataobj *restrict v_vec, struct dataobj *restrict vp_vec, struct dataobj *restrict nnz_sp_source_mask_vec, struct dataobj *restrict sp_source_mask_vec, struct dataobj *restrict save_src_u_vec, struct dataobj *restrict save_src_v_vec, struct dataobj *restrict source_id_vec, struct dataobj *restrict source_mask_vec, const int x0_blk0_size, const int x_size, const int y0_blk0_size, const int y_size, const int z_size, const int t0, const int t1, const int t2, const int x_M, const int x_m, const int y_M, const int y_m, const int z_M, const int z_m, const int nthreads, float **restrict r47_vec, float **restrict r48_vec, const int time, const int tw, const int sp_zi_m);
int ForwardTTI(struct dataobj *restrict block_sizes_vec, struct dataobj *restrict damp_vec, struct dataobj *restrict delta_vec, const float dt, struct dataobj *restrict epsilon_vec, struct dataobj *restrict nnz_sp_source_mask_vec, struct dataobj *restrict phi_vec, struct dataobj *restrict save_src_u_vec, struct dataobj *restrict save_src_v_vec, struct dataobj *restrict source_id_vec, struct dataobj *restrict source_mask_vec, struct dataobj *restrict sp_source_mask_vec, struct dataobj *restrict theta_vec, struct dataobj *restrict u_vec, struct dataobj *restrict v_vec, struct dataobj *restrict vp_vec, const int x_size, const int y_size, const int z_size, const int sp_zi_m, const int time_M, const int time_m, struct profiler *timers, const int x_M, const int x_m, const int y_M, const int y_m, const int z_M, const int z_m, const int nthreads, const int nthreads_nonaffine)
{
int(*restrict block_sizes) __attribute__((aligned(64))) = (int(*))block_sizes_vec->data;
float(*restrict delta)[delta_vec->size[1]][delta_vec->size[2]] __attribute__((aligned(64))) = (float(*)[delta_vec->size[1]][delta_vec->size[2]])delta_vec->data;
int(*restrict nnz_sp_source_mask)[nnz_sp_source_mask_vec->size[1]] __attribute__((aligned(64))) = (int(*)[nnz_sp_source_mask_vec->size[1]])nnz_sp_source_mask_vec->data;
float(*restrict phi)[phi_vec->size[1]][phi_vec->size[2]] __attribute__((aligned(64))) = (float(*)[phi_vec->size[1]][phi_vec->size[2]])phi_vec->data;
float(*restrict save_src_u)[save_src_u_vec->size[1]] __attribute__((aligned(64))) = (float(*)[save_src_u_vec->size[1]])save_src_u_vec->data;
float(*restrict save_src_v)[save_src_v_vec->size[1]] __attribute__((aligned(64))) = (float(*)[save_src_v_vec->size[1]])save_src_v_vec->data;
int(*restrict source_id)[source_id_vec->size[1]][source_id_vec->size[2]] __attribute__((aligned(64))) = (int(*)[source_id_vec->size[1]][source_id_vec->size[2]])source_id_vec->data;
int(*restrict source_mask)[source_mask_vec->size[1]][source_mask_vec->size[2]] __attribute__((aligned(64))) = (int(*)[source_mask_vec->size[1]][source_mask_vec->size[2]])source_mask_vec->data;
int(*restrict sp_source_mask)[sp_source_mask_vec->size[1]][sp_source_mask_vec->size[2]] __attribute__((aligned(64))) = (int(*)[sp_source_mask_vec->size[1]][sp_source_mask_vec->size[2]])sp_source_mask_vec->data;
float(*restrict theta)[theta_vec->size[1]][theta_vec->size[2]] __attribute__((aligned(64))) = (float(*)[theta_vec->size[1]][theta_vec->size[2]])theta_vec->data;
float(*restrict u)[u_vec->size[1]][u_vec->size[2]][u_vec->size[3]] __attribute__((aligned(64))) = (float(*)[u_vec->size[1]][u_vec->size[2]][u_vec->size[3]])u_vec->data;
float(*restrict v)[v_vec->size[1]][v_vec->size[2]][v_vec->size[3]] __attribute__((aligned(64))) = (float(*)[v_vec->size[1]][v_vec->size[2]][v_vec->size[3]])v_vec->data;
float(*r17)[y_size + 1][z_size + 1];
posix_memalign((void **)&r17, 64, sizeof(float[x_size + 1][y_size + 1][z_size + 1]));
float(*r18)[y_size + 1][z_size + 1];
posix_memalign((void **)&r18, 64, sizeof(float[x_size + 1][y_size + 1][z_size + 1]));
float(*r19)[y_size + 1][z_size + 1];
posix_memalign((void **)&r19, 64, sizeof(float[x_size + 1][y_size + 1][z_size + 1]));
float(*r20)[y_size + 1][z_size + 1];
posix_memalign((void **)&r20, 64, sizeof(float[x_size + 1][y_size + 1][z_size + 1]));
float(*r21)[y_size + 1][z_size + 1];
posix_memalign((void **)&r21, 64, sizeof(float[x_size + 1][y_size + 1][z_size + 1]));
float **r47;
posix_memalign((void **)&r47, 64, sizeof(float *) * nthreads);
float **r48;
posix_memalign((void **)&r48, 64, sizeof(float *) * nthreads);
int y0_blk0_size = block_sizes[3];
int x0_blk0_size = block_sizes[2];
int yb_size = block_sizes[1];
int xb_size = block_sizes[0];
int sf = 2;
int t_blk_size = 2 * sf * (time_M - time_m);
#pragma omp parallel num_threads(nthreads)
{
const int tid = omp_get_thread_num();
posix_memalign((void **)&r47[tid], 64, sizeof(float[x0_blk0_size + 1][y0_blk0_size + 1][z_size + 1]));
posix_memalign((void **)&r48[tid], 64, sizeof(float[x0_blk0_size + 1][y0_blk0_size + 1][z_size + 1]));
}
/* Flush denormal numbers to zero in hardware */
_MM_SET_DENORMALS_ZERO_MODE(_MM_DENORMALS_ZERO_ON);
_MM_SET_FLUSH_ZERO_MODE(_MM_FLUSH_ZERO_ON);
struct timeval start_section0, end_section0;
gettimeofday(&start_section0, NULL);
/* Begin section0 */
#pragma omp parallel num_threads(nthreads)
{
#pragma omp for collapse(1) schedule(static, 1)
for (int x = x_m - 1; x <= x_M; x += 1)
{
for (int y = y_m - 1; y <= y_M; y += 1)
{
#pragma omp simd aligned(delta, phi, theta : 32)
for (int z = z_m - 1; z <= z_M; z += 1)
{
r17[x + 1][y + 1][z + 1] = sqrt(2 * delta[x + 4][y + 4][z + 4] + 1);
r18[x + 1][y + 1][z + 1] = cos(theta[x + 4][y + 4][z + 4]);
r19[x + 1][y + 1][z + 1] = sin(phi[x + 4][y + 4][z + 4]);
r20[x + 1][y + 1][z + 1] = sin(theta[x + 4][y + 4][z + 4]);
r21[x + 1][y + 1][z + 1] = cos(phi[x + 4][y + 4][z + 4]);
}
}
}
}
/* End section0 */
gettimeofday(&end_section0, NULL);
timers->section0 += (double)(end_section0.tv_sec - start_section0.tv_sec) + (double)(end_section0.tv_usec - start_section0.tv_usec) / 1000000;
for (int time = time_m, t1 = (time + 2) % (3), t0 = (time) % (3), t2 = (time + 1) % (3); time <= time_M; time += 1, t1 = (time + 2) % (3), t0 = (time) % (3), t2 = (time + 1) % (3))
{
int sf = 2;
int tw = ((time / sf) % (time_M - time_m + 1));
int t_blk_size = 2 * sf * (time_M - time_m);
struct timeval start_section1, end_section1;
gettimeofday(&start_section1, NULL);
/* Begin section1 */
//x_M - (x_M - x_m + 1)%(x0_blk0_size),x_m,y_M - (y_M - y_m + 1)%(y0_blk0_size),y_m,
bf0(damp_vec, dt, epsilon_vec, (float *)r17, (float *)r18, (float *)r19, (float *)r20, (float *)r21, u_vec, v_vec, vp_vec, nnz_sp_source_mask_vec, sp_source_mask_vec, save_src_u_vec, save_src_v_vec, source_id_vec, source_mask_vec, x0_blk0_size, x_size, y0_blk0_size, y_size, z_size, t0, t1, t2, x_M - (x_M - x_m + 1)%(x0_blk0_size), x_m, y_M - (y_M - y_m + 1)%(y0_blk0_size), y_m, z_M, z_m, nthreads, (float **)r47, (float **)r48, time, tw, sp_zi_m);
//bf0(damp_vec, dt, epsilon_vec, (float *)r17, (float *)r18, (float *)r19, (float *)r20, (float *)r21, u_vec, v_vec, vp_vec, x0_blk0_size, x_size, (y_M - y_m + 1) % (y0_blk0_size), y_size, z_size, t0, t1, t2, x_M - (x_M - x_m + 1) % (x0_blk0_size), x_m, y_M, y_M - (y_M - y_m + 1) % (y0_blk0_size) + 1, z_M, z_m, nthreads, (float **)r47, (float **)r48);
//bf0(damp_vec, dt, epsilon_vec, (float *)r17, (float *)r18, (float *)r19, (float *)r20, (float *)r21, u_vec, v_vec, vp_vec, (x_M - x_m + 1) % (x0_blk0_size), x_size, y0_blk0_size, y_size, z_size, t0, t1, t2, x_M, x_M - (x_M - x_m + 1) % (x0_blk0_size) + 1, y_M - (y_M - y_m + 1) % (y0_blk0_size), y_m, z_M, z_m, nthreads, (float **)r47, (float **)r48);
//bf0(damp_vec, dt, epsilon_vec, (float *)r17, (float *)r18, (float *)r19, (float *)r20, (float *)r21, u_vec, v_vec, vp_vec, (x_M - x_m + 1) % (x0_blk0_size), x_size, (y_M - y_m + 1) % (y0_blk0_size), y_size, z_size, t0, t1, t2, x_M, x_M - (x_M - x_m + 1) % (x0_blk0_size) + 1, y_M, y_M - (y_M - y_m + 1) % (y0_blk0_size) + 1, z_M, z_m, nthreads, (float **)r47, (float **)r48);
/* End section1 */
gettimeofday(&end_section1, NULL);
timers->section1 += (double)(end_section1.tv_sec - start_section1.tv_sec) + (double)(end_section1.tv_usec - start_section1.tv_usec) / 1000000;
}
#pragma omp parallel num_threads(nthreads)
{
const int tid = omp_get_thread_num();
free(r47[tid]);
free(r48[tid]);
}
free(r17);
free(r18);
free(r19);
free(r20);
free(r21);
free(r47);
free(r48);
return 0;
}
void bf0(struct dataobj *restrict damp_vec, const float dt, struct dataobj *restrict epsilon_vec, float *restrict r17_vec, float *restrict r18_vec, float *restrict r19_vec, float *restrict r20_vec, float *restrict r21_vec, struct dataobj *restrict u_vec, struct dataobj *restrict v_vec, struct dataobj *restrict vp_vec, struct dataobj *restrict nnz_sp_source_mask_vec, struct dataobj *restrict sp_source_mask_vec, struct dataobj *restrict save_src_u_vec, struct dataobj *restrict save_src_v_vec, struct dataobj *restrict source_id_vec, struct dataobj *restrict source_mask_vec, const int x0_blk0_size, const int x_size, const int y0_blk0_size, const int y_size, const int z_size, const int t0, const int t1, const int t2, const int x_M, const int x_m, const int y_M, const int y_m, const int z_M, const int z_m, const int nthreads, float **restrict r47_vec, float **restrict r48_vec, const int time, const int tw, const int sp_zi_m)
{
float(*restrict damp)[damp_vec->size[1]][damp_vec->size[2]] __attribute__((aligned(64))) = (float(*)[damp_vec->size[1]][damp_vec->size[2]])damp_vec->data;
float(*restrict epsilon)[epsilon_vec->size[1]][epsilon_vec->size[2]] __attribute__((aligned(64))) = (float(*)[epsilon_vec->size[1]][epsilon_vec->size[2]])epsilon_vec->data;
float(*restrict r17)[y_size + 1][z_size + 1] __attribute__((aligned(64))) = (float(*)[y_size + 1][z_size + 1]) r17_vec;
float(*restrict r18)[y_size + 1][z_size + 1] __attribute__((aligned(64))) = (float(*)[y_size + 1][z_size + 1]) r18_vec;
float(*restrict r19)[y_size + 1][z_size + 1] __attribute__((aligned(64))) = (float(*)[y_size + 1][z_size + 1]) r19_vec;
float(*restrict r20)[y_size + 1][z_size + 1] __attribute__((aligned(64))) = (float(*)[y_size + 1][z_size + 1]) r20_vec;
float(*restrict r21)[y_size + 1][z_size + 1] __attribute__((aligned(64))) = (float(*)[y_size + 1][z_size + 1]) r21_vec;
float(*restrict u)[u_vec->size[1]][u_vec->size[2]][u_vec->size[3]] __attribute__((aligned(64))) = (float(*)[u_vec->size[1]][u_vec->size[2]][u_vec->size[3]])u_vec->data;
float(*restrict v)[v_vec->size[1]][v_vec->size[2]][v_vec->size[3]] __attribute__((aligned(64))) = (float(*)[v_vec->size[1]][v_vec->size[2]][v_vec->size[3]])v_vec->data;
float(*restrict vp)[vp_vec->size[1]][vp_vec->size[2]] __attribute__((aligned(64))) = (float(*)[vp_vec->size[1]][vp_vec->size[2]])vp_vec->data;
float **r47 = (float **)r47_vec;
float **r48 = (float **)r48_vec;
int(*restrict nnz_sp_source_mask)[nnz_sp_source_mask_vec->size[1]] __attribute__((aligned(64))) = (int(*)[nnz_sp_source_mask_vec->size[1]])nnz_sp_source_mask_vec->data;
float(*restrict save_src_u)[save_src_u_vec->size[1]] __attribute__((aligned(64))) = (float(*)[save_src_u_vec->size[1]])save_src_u_vec->data;
float(*restrict save_src_v)[save_src_v_vec->size[1]] __attribute__((aligned(64))) = (float(*)[save_src_v_vec->size[1]])save_src_v_vec->data;
int(*restrict source_id)[source_id_vec->size[1]][source_id_vec->size[2]] __attribute__((aligned(64))) = (int(*)[source_id_vec->size[1]][source_id_vec->size[2]])source_id_vec->data;
int(*restrict source_mask)[source_mask_vec->size[1]][source_mask_vec->size[2]] __attribute__((aligned(64))) = (int(*)[source_mask_vec->size[1]][source_mask_vec->size[2]])source_mask_vec->data;
int(*restrict sp_source_mask)[sp_source_mask_vec->size[1]][sp_source_mask_vec->size[2]] __attribute__((aligned(64))) = (int(*)[sp_source_mask_vec->size[1]][sp_source_mask_vec->size[2]])sp_source_mask_vec->data;
if (x0_blk0_size == 0)
{
return;
}
#pragma omp parallel num_threads(nthreads)
{
const int tid = omp_get_thread_num();
float(*restrict r34)[y0_blk0_size + 1][z_size + 1] __attribute__((aligned(64))) = (float(*)[y0_blk0_size + 1][z_size + 1]) r47[tid];
float(*restrict r35)[y0_blk0_size + 1][z_size + 1] __attribute__((aligned(64))) = (float(*)[y0_blk0_size + 1][z_size + 1]) r48[tid];
#pragma omp for collapse(1) schedule(dynamic, 1)
for (int x0_blk0 = x_m; x0_blk0 <= x_M; x0_blk0 += x0_blk0_size)
{
for (int y0_blk0 = y_m; y0_blk0 <= y_M; y0_blk0 += y0_blk0_size)
{
printf(" bf Timestep: %d, Updating x0_blk0: %d y0_blk0: %d \n", time, x0_blk0, y0_blk0);
for (int x = x0_blk0 - 1, xs = 0; x <= x0_blk0 + x0_blk0_size - 1; x += 1, xs += 1)
{
for (int y = y0_blk0 - 1, ys = 0; y <= y0_blk0 + y0_blk0_size - 1; y += 1, ys += 1)
{
#pragma omp simd aligned(u, v : 32)
for (int z = z_m - 1; z <= z_M; z += 1)
{
float r39 = -u[t0][x + 4][y + 4][z + 4];
r34[xs][ys][z + 1] = 1.0e-1F * (-(r39 + u[t0][x + 4][y + 4][z + 5]) * r18[x + 1][y + 1][z + 1] - (r39 + u[t0][x + 4][y + 5][z + 4]) * r19[x + 1][y + 1][z + 1] * r20[x + 1][y + 1][z + 1] - (r39 + u[t0][x + 5][y + 4][z + 4]) * r20[x + 1][y + 1][z + 1] * r21[x + 1][y + 1][z + 1]);
float r40 = -v[t0][x + 4][y + 4][z + 4];
r35[xs][ys][z + 1] = 1.0e-1F * (-(r40 + v[t0][x + 4][y + 4][z + 5]) * r18[x + 1][y + 1][z + 1] - (r40 + v[t0][x + 4][y + 5][z + 4]) * r19[x + 1][y + 1][z + 1] * r20[x + 1][y + 1][z + 1] - (r40 + v[t0][x + 5][y + 4][z + 4]) * r20[x + 1][y + 1][z + 1] * r21[x + 1][y + 1][z + 1]);
}
}
}
for (int x = x0_blk0, xs = 0; x <= x0_blk0 + x0_blk0_size - 1; x += 1, xs += 1)
{
for (int y = y0_blk0, ys = 0; y <= y0_blk0 + y0_blk0_size - 1; y += 1, ys += 1)
{
//printf(" bf1 Timestep tw: %d, Updating x: %d y: %d , Updating xs: %d ys: %d \n", time, x + 4, y + 4, xs, ys);
#pragma omp simd aligned(damp, epsilon, u, v, vp : 32)
for (int z = z_m; z <= z_M; z += 1)
{
float r46 = 1.0 / dt;
float r45 = 1.0 / (dt * dt);
float r44 = r18[x + 1][y + 1][z] * r35[xs + 1][ys + 1][z] - r18[x + 1][y + 1][z + 1] * r35[xs + 1][ys + 1][z + 1] + r19[x + 1][y][z + 1] * r20[x + 1][y][z + 1] * r35[xs + 1][ys][z + 1] - r19[x + 1][y + 1][z + 1] * r20[x + 1][y + 1][z + 1] * r35[xs + 1][ys + 1][z + 1] + r20[x][y + 1][z + 1] * r21[x][y + 1][z + 1] * r35[xs][ys + 1][z + 1] - r20[x + 1][y + 1][z + 1] * r21[x + 1][y + 1][z + 1] * r35[xs + 1][ys + 1][z + 1];
float r43 = 1.0 / (vp[x + 4][y + 4][z + 4] * vp[x + 4][y + 4][z + 4]);
float r42 = 1.0e-1F * (-r18[x + 1][y + 1][z] * r34[xs + 1][ys + 1][z] + r18[x + 1][y + 1][z + 1] * r34[xs + 1][ys + 1][z + 1] - r19[x + 1][y][z + 1] * r20[x + 1][y][z + 1] * r34[xs + 1][ys][z + 1] + r19[x + 1][y + 1][z + 1] * r20[x + 1][y + 1][z + 1] * r34[xs + 1][ys + 1][z + 1] - r20[x][y + 1][z + 1] * r21[x][y + 1][z + 1] * r34[xs][ys + 1][z + 1] + r20[x + 1][y + 1][z + 1] * r21[x + 1][y + 1][z + 1] * r34[xs + 1][ys + 1][z + 1]) - 8.33333315e-4F * (u[t0][x + 2][y + 4][z + 4] + u[t0][x + 4][y + 2][z + 4] + u[t0][x + 4][y + 4][z + 2] + u[t0][x + 4][y + 4][z + 6] + u[t0][x + 4][y + 6][z + 4] + u[t0][x + 6][y + 4][z + 4]) + 1.3333333e-2F * (u[t0][x + 3][y + 4][z + 4] + u[t0][x + 4][y + 3][z + 4] + u[t0][x + 4][y + 4][z + 3] + u[t0][x + 4][y + 4][z + 5] + u[t0][x + 4][y + 5][z + 4] + u[t0][x + 5][y + 4][z + 4]) - 7.49999983e-2F * u[t0][x + 4][y + 4][z + 4];
float r41 = 1.0 / (r43 * r45 + r46 * damp[x + 1][y + 1][z + 1]);
float r32 = r45 * (-2.0F * u[t0][x + 4][y + 4][z + 4] + u[t1][x + 4][y + 4][z + 4]);
float r33 = r45 * (-2.0F * v[t0][x + 4][y + 4][z + 4] + v[t1][x + 4][y + 4][z + 4]);
u[t2][x + 4][y + 4][z + 4] = r41 * ((-r32) * r43 + r42 * (2 * epsilon[x + 4][y + 4][z + 4] + 1) + 1.0e-1F * r44 * r17[x + 1][y + 1][z + 1] + r46 * (damp[x + 1][y + 1][z + 1] * u[t0][x + 4][y + 4][z + 4]));
v[t2][x + 4][y + 4][z + 4] = r41 * ((-r33) * r43 + r42 * r17[x + 1][y + 1][z + 1] + 1.0e-1F * r44 + r46 * (damp[x + 1][y + 1][z + 1] * v[t0][x + 4][y + 4][z + 4]));
}
int sp_zi_M = nnz_sp_source_mask[x][y] - 1;
for (int sp_zi = sp_zi_m; sp_zi <= sp_zi_M; sp_zi += 1)
{
int zind = sp_source_mask[x][y][sp_zi];
float r22 = save_src_u[time][source_id[x][y][zind]] * source_mask[x][y][zind];
u[t2][x + 4][y + 4][zind + 4] += r22;
float r23 = save_src_v[time][source_id[x][y][zind]] * source_mask[x][y][zind];
v[t2][x + 4][y + 4][zind + 4] += r23;
}
}
}
}
}
}
} |
DRB007-indirectaccess3-orig-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.
*/
/*
Two pointers have distance of 12 (p1 - p2 = 12).
They are used as base addresses for indirect array accesses using an index set (another array).
An index set has two indices with distance of 12 :
indexSet[3]- indexSet[0] = 533 - 521 = 12
So there is loop carried dependence for N=0 and N=3.
We use the default loop scheduling (static even) in OpenMP.
It is possible that two dependent iterations will be scheduled
within a same chunk to a same thread. So there is no runtime data races.
N is 180, two iteraions with N=0 and N= 3 have loop carried dependences.
For static even scheduling, we must have at least 60 threads (180/60=3 iterations)
so iteration 0 and 3 will be scheduled to two different threads.
Data race pair: xa1[idx]@128:5 vs. xa2[idx]@129:5
*/
#include <assert.h>
#include <stdio.h>
#include <stdlib.h>
#define N 180
int indexSet[N] = {
521, 523, 525, 533, 529, 531, // 521+12=533
547, 549, 551, 553, 555, 557,
573, 575, 577, 579, 581, 583,
599, 601, 603, 605, 607, 609,
625, 627, 629, 631, 633, 635,
651, 653, 655, 657, 659, 661,
859, 861, 863, 865, 867, 869,
885, 887, 889, 891, 893, 895,
911, 913, 915, 917, 919, 921,
937, 939, 941, 943, 945, 947,
963, 965, 967, 969, 971, 973,
989, 991, 993, 995, 997, 999,
1197, 1199, 1201, 1203, 1205, 1207,
1223, 1225, 1227, 1229, 1231, 1233,
1249, 1251, 1253, 1255, 1257, 1259,
1275, 1277, 1279, 1281, 1283, 1285,
1301, 1303, 1305, 1307, 1309, 1311,
1327, 1329, 1331, 1333, 1335, 1337,
1535, 1537, 1539, 1541, 1543, 1545,
1561, 1563, 1565, 1567, 1569, 1571,
1587, 1589, 1591, 1593, 1595, 1597,
1613, 1615, 1617, 1619, 1621, 1623,
1639, 1641, 1643, 1645, 1647, 1649,
1665, 1667, 1669, 1671, 1673, 1675,
1873, 1875, 1877, 1879, 1881, 1883,
1899, 1901, 1903, 1905, 1907, 1909,
1925, 1927, 1929, 1931, 1933, 1935,
1951, 1953, 1955, 1957, 1959, 1961,
1977, 1979, 1981, 1983, 1985, 1987,
2003, 2005, 2007, 2009, 2011, 2013};
int main (int argc, char* argv[])
{
double * base = (double*) malloc(sizeof(double)* (2013+12+1));
if (base == 0)
{
printf ("Error in malloc(). Aborting ...\n");
return 1;
}
double * xa1 = base;
double * xa2 = xa1 + 12;
int i;
// initialize segments touched by indexSet
for (i =521; i<= 2025; ++i)
{
base[i]=0.5*i;
}
#pragma omp parallel for schedule(dynamic)// default static even scheduling may not trigger data race!
for (i =0; i< N; ++i)
{
int idx = indexSet[i];
xa1[idx]+= 1.0;
xa2[idx]+= 3.0;
}
printf("x1[999]=%f xa2[1285]=%f\n", xa1[999], xa2[1285]);
free (base);
return 0;
}
|
master.c | //=====================================================================
// MAIN FUNCTION
//=====================================================================
void master(fp timeinst,
fp* initvalu,
fp* parameter,
fp* finavalu,
int mode){
//=====================================================================
// VARIABLES
//=====================================================================
// counters
int i;
// intermediate output on host
fp JCaDyad;
fp JCaSL;
fp JCaCyt;
// offset pointers
int initvalu_offset_batch; //
int initvalu_offset_ecc; // 46 points
int parameter_offset_ecc;
int initvalu_offset_Dyad; // 15 points
int parameter_offset_Dyad;
int initvalu_offset_SL; // 15 points
int parameter_offset_SL;
int initvalu_offset_Cyt; // 15 poitns
int parameter_offset_Cyt;
// module parameters
fp CaDyad; // from ECC model, *** Converting from [mM] to [uM] ***
fp CaSL; // from ECC model, *** Converting from [mM] to [uM] ***
fp CaCyt; // from ECC model, *** Converting from [mM] to [uM] ***
// thread counters
int th_id, nthreads;
int th_count[4];
int temp;
//=====================================================================
// KERNELS FOR 1 WORKLOAD - PARALLEL
//=====================================================================
nthreads = omp_get_max_threads();
if(mode == 0){
// partition workload between threads
temp = 0;
for(i=0; i<4; i++){ // do for all 4 pieces of work
if(temp>=nthreads){ // limit according to number of threads
temp = 0;
}
th_count[i] = temp; // assign thread to piece of work
temp = temp +1;
}
// run pieces of work in parallel
#pragma omp parallel private(th_id)
{
if (th_id == th_count[1]) {
// ecc function
initvalu_offset_ecc = 0; // 46 points
parameter_offset_ecc = 0;
ecc( timeinst,
initvalu,
initvalu_offset_ecc,
parameter,
parameter_offset_ecc,
finavalu);
}
if (th_id == th_count[2]) {
// cam function for Dyad
initvalu_offset_Dyad = 46; // 15 points
parameter_offset_Dyad = 1;
CaDyad = initvalu[35]*1e3; // from ECC model, *** Converting from [mM] to [uM] ***
JCaDyad = cam(timeinst,
initvalu,
initvalu_offset_Dyad,
parameter,
parameter_offset_Dyad,
finavalu,
CaDyad);
}
if (th_id == th_count[3]) {
// cam function for SL
initvalu_offset_SL = 61; // 15 points
parameter_offset_SL = 6;
CaSL = initvalu[36]*1e3; // from ECC model, *** Converting from [mM] to [uM] ***
JCaSL = cam( timeinst,
initvalu,
initvalu_offset_SL,
parameter,
parameter_offset_SL,
finavalu,
CaSL);
}
if (th_id == th_count[4]) {
// cam function for Cyt
initvalu_offset_Cyt = 76; // 15 poitns
parameter_offset_Cyt = 11;
CaCyt = initvalu[37]*1e3; // from ECC model, *** Converting from [mM] to [uM] ***
JCaCyt = cam( timeinst,
initvalu,
initvalu_offset_Cyt,
parameter,
parameter_offset_Cyt,
finavalu,
CaCyt);
}
}
}
//=====================================================================
// KERNELS FOR MANY WORKLOAD - SERIAL
//=====================================================================
else{
// ecc function
initvalu_offset_ecc = 0; // 46 points
parameter_offset_ecc = 0;
ecc( timeinst,
initvalu,
initvalu_offset_ecc,
parameter,
parameter_offset_ecc,
finavalu);
// cam function for Dyad
initvalu_offset_Dyad = 46; // 15 points
parameter_offset_Dyad = 1;
CaDyad = initvalu[35]*1e3; // from ECC model, *** Converting from [mM] to [uM] ***
JCaDyad = cam(timeinst,
initvalu,
initvalu_offset_Dyad,
parameter,
parameter_offset_Dyad,
finavalu,
CaDyad);
// cam function for SL
initvalu_offset_SL = 61; // 15 points
parameter_offset_SL = 6;
CaSL = initvalu[36]*1e3; // from ECC model, *** Converting from [mM] to [uM] ***
JCaSL = cam( timeinst,
initvalu,
initvalu_offset_SL,
parameter,
parameter_offset_SL,
finavalu,
CaSL);
// cam function for Cyt
initvalu_offset_Cyt = 76; // 15 poitns
parameter_offset_Cyt = 11;
CaCyt = initvalu[37]*1e3; // from ECC model, *** Converting from [mM] to [uM] ***
JCaCyt = cam( timeinst,
initvalu,
initvalu_offset_Cyt,
parameter,
parameter_offset_Cyt,
finavalu,
CaCyt);
}
//=====================================================================
// FINAL KERNEL
//=====================================================================
// final adjustments
fin( initvalu,
initvalu_offset_ecc,
initvalu_offset_Dyad,
initvalu_offset_SL,
initvalu_offset_Cyt,
parameter,
finavalu,
JCaDyad,
JCaSL,
JCaCyt);
//=====================================================================
// COMPENSATION FOR NANs and INFs
//=====================================================================
// make sure function does not return NANs and INFs
for(i=0; i<EQUATIONS; i++){
if (isnan(finavalu[i]) == 1){
finavalu[i] = 0.0001; // for NAN set rate of change to 0.0001
}
else if (isinf(finavalu[i]) == 1){
finavalu[i] = 0.0001; // for INF set rate of change to 0.0001
}
}
}
|
GB_concat_sparse_template.c | //------------------------------------------------------------------------------
// GB_concat_sparse_template: concatenate a tile into a sparse matrix
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// The tile A is hypersparse, sparse, or full, not bitmap.
{
//--------------------------------------------------------------------------
// get C and the tile A
//--------------------------------------------------------------------------
const GB_CTYPE *restrict Ax = (GB_CTYPE *) A->x ;
GB_CTYPE *restrict Cx = (GB_CTYPE *) C->x ;
//--------------------------------------------------------------------------
// copy the tile A into C
//--------------------------------------------------------------------------
int tid ;
#pragma omp parallel for num_threads(A_nthreads) schedule(static)
for (tid = 0 ; tid < A_ntasks ; tid++)
{
int64_t kfirst = kfirst_Aslice [tid] ;
int64_t klast = klast_Aslice [tid] ;
for (int64_t k = kfirst ; k <= klast ; k++)
{
int64_t j = GBH (Ah, k) ;
const int64_t pC_start = W [j] ;
//------------------------------------------------------------------
// find the part of the kth vector A(:,j) for this task
//------------------------------------------------------------------
int64_t pA_start, pA_end ;
// as done by GB_get_pA, but also get p0 = Ap [k]
const int64_t p0 = GBP (Ap, k, avlen) ;
const int64_t p1 = GBP (Ap, k+1, avlen) ;
if (k == kfirst)
{
// First vector for task tid; may only be partially owned.
pA_start = pstart_Aslice [tid] ;
pA_end = GB_IMIN (p1, pstart_Aslice [tid+1]) ;
}
else if (k == klast)
{
// Last vector for task tid; may only be partially owned.
pA_start = p0 ;
pA_end = pstart_Aslice [tid+1] ;
}
else
{
// task tid entirely owns this vector A(:,k).
pA_start = p0 ;
pA_end = p1 ;
}
//------------------------------------------------------------------
// append A(:,j) onto C(:,j)
//------------------------------------------------------------------
GB_PRAGMA_SIMD
for (int64_t pA = pA_start ; pA < pA_end ; pA++)
{
int64_t i = GBI (Ai, pA, avlen) ; // i = Ai [pA]
int64_t pC = pC_start + pA - p0 ;
Ci [pC] = cistart + i ;
// Cx [pC] = Ax [pA] ;
GB_COPY (pC, pA) ;
}
}
}
done = true ;
}
#undef GB_CTYPE
|
task_reduction3.c | // RUN: %libomp-compile-and-run
// XFAIL: icc
// UNSUPPORTED: clang-4, clang-5, clang-6, clang-7, clang-8, clang-9, clang-10
// UNSUPPORTED: gcc-4, gcc-5, gcc-6, gcc-7, gcc-8
#include <stdio.h>
#include <stdlib.h>
int a = 0, b = 1;
int main(int argc, char **argv) {
#pragma omp parallel
{
#pragma omp sections reduction(task, +: a) reduction(task, *: b)
{
#pragma omp section
{
#pragma omp task in_reduction(+: a) in_reduction(*: b)
{
a += 1;
b *= 1;
}
}
#pragma omp section
{
#pragma omp task in_reduction(+: a) in_reduction(*: b)
{
a += 2;
b *= 2;
}
}
#pragma omp section
{
#pragma omp task in_reduction(+: a) in_reduction(*: b)
{
a += 3;
b *= 3;
}
}
#pragma omp section
{
#pragma omp task in_reduction(+: a) in_reduction(*: b)
{
a += 4;
b *= 4;
}
}
#pragma omp section
{
#pragma omp task in_reduction(+: a) in_reduction(*: b)
{
a += 5;
b *= 5;
}
}
}
}
if (a != 15) {
fprintf(stderr, "error: a != 15. Instead a = %d\n", a);
exit(EXIT_FAILURE);
}
if (b != 120) {
fprintf(stderr, "error: b != 120. Instead b = %d\n", b);
exit(EXIT_FAILURE);
}
return EXIT_SUCCESS;
}
|
utils.h | /*
* 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) 2015 by Contributors
* \file utils.h
* \brief Basic utilility functions.
*/
#ifndef MXNET_COMMON_UTILS_H_
#define MXNET_COMMON_UTILS_H_
#include <dmlc/logging.h>
#include <dmlc/omp.h>
#include <nnvm/graph.h>
#include <mxnet/engine.h>
#include <mxnet/ndarray.h>
#include <mxnet/op_attr_types.h>
#include <mxnet/graph_attr_types.h>
#include <nnvm/graph_attr_types.h>
#include <memory>
#include <vector>
#include <type_traits>
#include <utility>
#include <random>
#include <string>
#include <thread>
#include <algorithm>
#include <functional>
#include "../operator/mxnet_op.h"
namespace mxnet {
namespace common {
/*!
* \brief IndPtr should be non-negative, in non-decreasing order, start with 0
* and end with value equal with size of indices.
*/
struct csr_indptr_check {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, DType* out, const IType* indptr,
const nnvm::dim_t end, const nnvm::dim_t idx_size) {
if (indptr[i+1] < 0 || indptr[i+1] < indptr[i] ||
(i == 0 && indptr[i] != 0) ||
(i == end - 1 && indptr[end] != idx_size))
*out = kCSRIndPtrErr;
}
};
/*!
* \brief Indices should be non-negative, less than the number of columns
* and in ascending order per row.
*/
struct csr_idx_check {
template<typename DType, typename IType, typename RType>
MSHADOW_XINLINE static void Map(int i, DType* out, const IType* idx,
const RType* indptr, const nnvm::dim_t ncols) {
for (RType j = indptr[i]; j < indptr[i+1]; j++) {
if (idx[j] >= ncols || idx[j] < 0 ||
(j < indptr[i+1] - 1 && idx[j] >= idx[j+1])) {
*out = kCSRIdxErr;
break;
}
}
}
};
/*!
* \brief Indices of RSPNDArray should be non-negative,
* less than the size of first dimension and in ascending order
*/
struct rsp_idx_check {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, DType* out, const IType* idx,
const nnvm::dim_t end, const nnvm::dim_t nrows) {
if ((i < end && idx[i+1] <= idx[i])
|| idx[i] < 0 || idx[i] >= nrows)
*out = kRSPIdxErr;
}
};
template<typename xpu>
void CheckFormatWrapper(const RunContext &rctx, const NDArray &input,
const TBlob &err_cpu, const bool full_check);
/*!
* \brief Check the validity of CSRNDArray.
* \param rctx Execution context.
* \param input Input NDArray of CSRStorage.
* \param err_cpu Error number on cpu.
* \param full_check If true, rigorous check, O(N) operations,
* otherwise basic check, O(1) operations.
*/
template<typename xpu>
void CheckFormatCSRImpl(const RunContext &rctx, const NDArray &input,
const TBlob &err_cpu, const bool full_check) {
using namespace op::mxnet_op;
CHECK_EQ(input.storage_type(), kCSRStorage)
<< "CheckFormatCSRImpl is for CSRNDArray";
const TShape shape = input.shape();
const TShape idx_shape = input.aux_shape(csr::kIdx);
const TShape indptr_shape = input.aux_shape(csr::kIndPtr);
const TShape storage_shape = input.storage_shape();
if ((shape.ndim() != 2) ||
(idx_shape.ndim() != 1 || indptr_shape.ndim() != 1 || storage_shape.ndim() != 1) ||
(indptr_shape[0] != shape[0] + 1) ||
(idx_shape[0] != storage_shape[0])) {
MSHADOW_TYPE_SWITCH(err_cpu.type_flag_, DType, {
DType* err = err_cpu.dptr<DType>();
*err = kCSRShapeErr;
});
return;
}
if (full_check) {
MSHADOW_TYPE_SWITCH(err_cpu.type_flag_, DType, {
MSHADOW_IDX_TYPE_SWITCH(input.aux_type(csr::kIndPtr), RType, {
MSHADOW_IDX_TYPE_SWITCH(input.aux_type(csr::kIdx), IType, {
mshadow::Stream<xpu> *s = rctx.get_stream<xpu>();
NDArray ret_xpu = NDArray(mshadow::Shape1(1),
rctx.get_ctx(), false, err_cpu.type_flag_);
TBlob val_xpu = ret_xpu.data();
Kernel<set_to_int<kNormalErr>, xpu>::Launch(s, val_xpu.Size(), val_xpu.dptr<DType>());
Kernel<csr_indptr_check, xpu>::Launch(s, indptr_shape[0] - 1, val_xpu.dptr<DType>(),
input.aux_data(csr::kIndPtr).dptr<RType>(),
indptr_shape[0] - 1, idx_shape[0]);
// no need to check indices if indices are empty
if (idx_shape[0] != 0) {
Kernel<csr_idx_check, xpu>::Launch(s, indptr_shape[0] - 1, val_xpu.dptr<DType>(),
input.aux_data(csr::kIdx).dptr<IType>(),
input.aux_data(csr::kIndPtr).dptr<RType>(), shape[1]);
}
mshadow::Copy(err_cpu.get<cpu, 1, DType>(),
val_xpu.get<xpu, 1, DType>(s), s);
});
});
});
}
}
/*!
* \brief Check the validity of RowSparseNDArray.
* \param rctx Execution context.
* \param input Input NDArray of RowSparseStorage.
* \param err_cpu Error number on cpu.
* \param full_check If true, rigorous check, O(N) operations,
* otherwise basic check, O(1) operations.
*/
template<typename xpu>
void CheckFormatRSPImpl(const RunContext &rctx, const NDArray &input,
const TBlob &err_cpu, const bool full_check) {
using namespace op::mxnet_op;
CHECK_EQ(input.storage_type(), kRowSparseStorage)
<< "CheckFormatRSPImpl is for RSPNDArray";
const TShape idx_shape = input.aux_shape(rowsparse::kIdx);
if (idx_shape[0] != input.storage_shape()[0]) {
MSHADOW_TYPE_SWITCH(err_cpu.type_flag_, DType, {
DType* err = err_cpu.dptr<DType>();
*err = kRSPShapeErr;
});
return;
}
if (idx_shape[0] == 0) {
return;
}
if (full_check) {
MSHADOW_TYPE_SWITCH(err_cpu.type_flag_, DType, {
MSHADOW_IDX_TYPE_SWITCH(input.aux_type(rowsparse::kIdx), IType, {
mshadow::Stream<xpu> *s = rctx.get_stream<xpu>();
NDArray ret_xpu = NDArray(mshadow::Shape1(1),
rctx.get_ctx(), false, err_cpu.type_flag_);
TBlob val_xpu = ret_xpu.data();
Kernel<set_to_int<kNormalErr>, xpu>::Launch(s, val_xpu.Size(), val_xpu.dptr<DType>());
Kernel<rsp_idx_check, xpu>::Launch(s, idx_shape[0],
val_xpu.dptr<DType>(), input.aux_data(rowsparse::kIdx).dptr<IType>(),
idx_shape[0] - 1, input.shape()[0]);
mshadow::Copy(err_cpu.get<cpu, 1, DType>(),
val_xpu.get<xpu, 1, DType>(s), s);
});
});
}
}
template<typename xpu>
void CheckFormatImpl(const RunContext &rctx, const NDArray &input,
const TBlob &err_cpu, const bool full_check) {
int stype = input.storage_type();
if (stype == kCSRStorage) {
CheckFormatCSRImpl<xpu>(rctx, input, err_cpu, full_check);
} else if (stype == kRowSparseStorage) {
CheckFormatRSPImpl<xpu>(rctx, input, err_cpu, full_check);
} else if (stype == kDefaultStorage) {
// no-op for default storage
} else {
LOG(FATAL) << "Unknown storage type " << stype;
}
}
template<typename xpu>
void CastStorageDispatch(const OpContext& ctx, const NDArray& input, const NDArray& output);
/*! \brief returns true if all storage types in `vstorage` are the same as target `stype`.
* false is returned for empty inputs.
*/
inline bool ContainsOnlyStorage(const StorageTypeVector& vstorage,
const NDArrayStorageType stype) {
if (!vstorage.empty()) {
for (const auto& i : vstorage) {
if (i != stype) return false;
}
return true;
}
return false;
}
/*! \brief returns true if all storage types in `vstorage` are the same as target `stype1`
* or `stype2'. Sets boolean if both found.
* false is returned for empty inputs.
*/
inline bool ContainsOnlyStorage(const StorageTypeVector& vstorage,
const NDArrayStorageType stype1,
const NDArrayStorageType stype2,
bool *has_both) {
if (has_both) {
*has_both = false;
}
if (!vstorage.empty()) {
uint8_t has = 0;
for (const auto i : vstorage) {
if (i == stype1) {
has |= 1;
} else if (i == stype2) {
has |= 2;
} else {
return false;
}
}
if (has_both) {
*has_both = has == 3;
}
return true;
}
return false;
}
/*! \brief returns true if the storage types of arrays in `ndarrays`
* are the same as target `stype`. false is returned for empty inputs.
*/
inline bool ContainsOnlyStorage(const std::vector<NDArray>& ndarrays,
const NDArrayStorageType stype) {
if (!ndarrays.empty()) {
for (const auto& nd : ndarrays) {
if (nd.storage_type() != stype) {
return false;
}
}
return true;
}
return false;
}
/*! \brief returns true if the storage types of arrays in `ndarrays`
* are the same as targets `stype1` or `stype2`. false is returned for empty inputs.
*/
inline bool ContainsOnlyStorage(const std::vector<NDArray>& ndarrays,
const NDArrayStorageType stype1,
const NDArrayStorageType stype2,
bool *has_both) {
if (has_both) {
*has_both = false;
}
if (!ndarrays.empty()) {
uint8_t has = 0;
for (const auto& nd : ndarrays) {
const NDArrayStorageType stype = nd.storage_type();
if (stype == stype1) {
has |= 1;
} else if (stype == stype2) {
has |= 2;
} else {
return false;
}
}
if (has_both) {
*has_both = has == 3;
}
return true;
}
return false;
}
/*! \brief get string representation of dispatch_mode */
inline std::string dispatch_mode_string(const DispatchMode x) {
switch (x) {
case DispatchMode::kFCompute:
return "fcompute";
case DispatchMode::kFComputeEx:
return "fcompute_ex";
case DispatchMode::kFComputeFallback:
return "fcompute_fallback";
case DispatchMode::kVariable:
return "variable";
case DispatchMode::kUndefined:
return "undefined";
}
return "unknown";
}
/*! \brief get string representation of storage_type */
inline std::string stype_string(const int x) {
switch (x) {
case kDefaultStorage:
return "default";
case kCSRStorage:
return "csr";
case kRowSparseStorage:
return "row_sparse";
}
return "unknown";
}
// heuristic to dermine number of threads per GPU
inline int GetNumThreadPerGPU() {
// This is resource efficient option.
return dmlc::GetEnv("MXNET_GPU_WORKER_NTHREADS", 2);
}
// heuristic to get number of matching colors.
// this decides how much parallelism we can get in each GPU.
inline int GetExecNumMatchColor() {
// This is resource efficient option.
int num_match_color = dmlc::GetEnv("MXNET_EXEC_NUM_TEMP", 1);
return std::min(num_match_color, GetNumThreadPerGPU());
}
template<typename T, typename V>
V ParallelAccumulate(const T* a, const int n, V start) {
V sum = start;
#pragma omp parallel for reduction(+:sum)
for (int i = 0; i < n; ++i) {
sum += a[i];
}
return sum;
}
/*!
* \brief
* Helper function for ParallelSort.
* DO NOT call this function directly.
* Use the interface ParallelSort instead.
* Ref: https://github.com/dmlc/difacto/blob/master/src/common/parallel_sort.h
*/
template<typename RandomIt, typename Compare>
void ParallelSortHelper(RandomIt first, size_t len,
size_t grainsize, const Compare& comp) {
if (len < grainsize) {
std::sort(first, first+len, comp);
} else {
std::thread thr(ParallelSortHelper<RandomIt, Compare>, first, len/2, grainsize, comp);
ParallelSortHelper(first+len/2, len - len/2, grainsize, comp);
thr.join();
std::inplace_merge(first, first+len/2, first+len, comp);
}
}
/*!
* \brief
* Sort the elements in the range [first, last) into the ascending order defined by
* the comparator comp.
* If the length of the range [first, last) is greater than a certain threshold,
* the range will be recursively divided into two and assign two threads
* to sort each half range.
* Ref: https://github.com/dmlc/difacto/blob/master/src/common/parallel_sort.h
*/
template<typename RandomIt, typename Compare>
void ParallelSort(RandomIt first, RandomIt last, size_t num_threads, Compare comp) {
const auto num = std::distance(first, last);
size_t grainsize = std::max(num / num_threads + 5, static_cast<size_t>(1024*16));
ParallelSortHelper(first, num, grainsize, comp);
}
/*!
* \brief
* Sort the elements in the range [first, last) into ascending order.
* The elements are compared using the default < operator.
* If the length of the range [first, last) is greater than a certain threshold,
* the range will be recursively divided into two and assign two threads
* to sort each half range.
* Ref: https://github.com/dmlc/difacto/blob/master/src/common/parallel_sort.h
*/
template<typename RandomIt>
void ParallelSort(RandomIt first, RandomIt last, size_t num_threads) {
ParallelSort(first, last, num_threads,
std::less<typename std::iterator_traits<RandomIt>::value_type>());
}
/*!
* \brief Random Engine
*/
typedef std::mt19937 RANDOM_ENGINE;
/*!
* \brief Helper functions.
*/
namespace helper {
/*!
* \brief Helper for non-array type `T`.
*/
template <class T>
struct UniqueIf {
/*!
* \brief Type of `T`.
*/
using SingleObject = std::unique_ptr<T>;
};
/*!
* \brief Helper for an array of unknown bound `T`.
*/
template <class T>
struct UniqueIf<T[]> {
/*!
* \brief Type of `T`.
*/
using UnknownBound = std::unique_ptr<T[]>;
};
/*!
* \brief Helper for an array of known bound `T`.
*/
template <class T, size_t kSize>
struct UniqueIf<T[kSize]> {
/*!
* \brief Type of `T`.
*/
using KnownBound = void;
};
} // namespace helper
/*!
* \brief Constructs an object of type `T` and wraps it in a
* `std``::``unique_ptr`.
* \param args List of arguments with which an instance of `T` will be
* constructed.
* \return `std``::``unique_ptr` of an instance of type `T`.
*
* Constructs a non-array type `T`. The arguments `args` are passed to the
* constructor of `T`. The function does not participate in the overload
* resolution if `T` is an array type.
*/
template <class T, class... Args>
typename helper::UniqueIf<T>::SingleObject MakeUnique(Args&&... args) {
return std::unique_ptr<T>(new T(std::forward<Args>(args)...));
}
/*!
* \brief Constructs an object of type `T` and wraps it in a
* `std``::``unique_ptr`.
* \param n The size of the array to construct.
* \return `std``::``unique_ptr` of an instance of type `T`.
*
* Constructs an array of unknown bound `T`. The function does not participate
* in the overload resolution unless `T` is an array of unknown bound.
*/
template <class T>
typename helper::UniqueIf<T>::UnknownBound MakeUnique(size_t n) {
using U = typename std::remove_extent<T>::type;
return std::unique_ptr<T>(new U[n]{});
}
/*!
* \brief Constructs an object of type `T` and wraps it in a
* `std``::``unique_ptr`.
* \param args List of arguments with which an instance of `T` will be
* constructed.
*
* Constructs an arrays of known bound is disallowed.
*/
template <class T, class... Args>
typename helper::UniqueIf<T>::KnownBound MakeUnique(Args&&... args) = delete;
template<typename FCompType>
FCompType GetFCompute(const nnvm::Op* op, const std::string& name,
const Context& ctx) {
static auto& fcompute_cpu = nnvm::Op::GetAttr<FCompType>(name + "<cpu>");
static auto& fcompute_gpu = nnvm::Op::GetAttr<FCompType>(name + "<gpu>");
if (ctx.dev_mask() == cpu::kDevMask) {
return fcompute_cpu.get(op, nullptr);
} else if (ctx.dev_mask() == gpu::kDevMask) {
return fcompute_gpu.get(op, nullptr);
} else {
LOG(FATAL) << "Unknown device mask";
return nullptr;
}
}
} // namespace common
} // namespace mxnet
#endif // MXNET_COMMON_UTILS_H_
|
key-hash.h | /*
* Created by KuangPeng on 2018/4/8
*/
#ifndef KEY_HASH_H
#define KEY_HASH_H
#include <stdint.h>
namespace ns3 {
enum CRC8_ALG {
CRC8 = 0,
CRC8_DARC,
CRC8_I_CODE,
CRC8_ITU,
CRC8_MAXIM,
CRC8_ROHC,
CRC8_WCDMA,
CRC8_ALG_NUM
};
enum CRC16_ALG {
CRC16,
CRC16_BUYPASS,
CRC16_DDS_110,
CRC16_DECT,
CRC16_DNP,
CRC16_EN_13757,
CRC16_GENIBUS,
CRC16_MAXIM,
CRC16_MCRF4XX,
CRC16_RIELLO,
CRC16_T10_DIF,
CRC16_TELEDISK,
CRC16_USB,
X_25,
XMODEM,
MODBUS,
KERMIT,
CRC_CCITT,
CRC_AUG_CCITT,
CRC16_ALG_NUM
};
enum CRC32_ALG {
CRC32 = 0,
CRC32_BZIP2,
CRC32C,
CRC32D,
CRC32_MPEG,
POSIX,
CRC32Q,
JAMCRC,
XFER,
CRC32_ALG_NUM
};
static inline int
key_compare(uint8_t* key1, uint8_t* key2, int length) {
int i, j = 0;
// #pragma omp parallel for
for (i = 0; i < length; i++) {
if (key1[i] != key2[i]) {
j = 1;
}
}
return j;
}
uint32_t hash_crc32(const void* buf, int length, int alg);
uint16_t hash_crc16(const void* buf, int length, int alg);
uint8_t hash_crc8(const void* buf, int length, int alg);
}
#endif // !KEY_HASH_H
|
ellipticUpdatePGMRES.c | /*
The MIT License (MIT)
Copyright (c) 2017 Tim Warburton, Noel Chalmers, Jesse Chan, Ali Karakus
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.
*/
// x = x + Zy
extern "C" void FUNC(updatePGMRESSolution)(const dlong & N,
const dlong & offset,
const dlong & gmresSize,
const dfloat* __restrict__ y,
const dfloat* __restrict__ Z,
dfloat* __restrict__ x)
{
#ifdef __NEKRS__OMP__
#pragma omp parallel for collapse(3)
#endif
for(int j = 0; j < gmresSize; ++j){
#pragma unroll
for(int fld = 0; fld < p_Nfields; ++fld){
for(int n = 0 ; n < N; ++n){
const dfloat yj = y[j];
const dfloat Znj = Z[n + fld * offset + j * offset * p_Nfields];
x[n + fld * offset] += Znj * yj;
}
}
}
}
|
bt.c | /*
* This software is Copyright (c) 2015 Sayantan Datta <std2048 at gmail dot com>
* 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.
* Based on paper 'Perfect Spatial Hashing' by Lefebvre & Hoppe
*/
#ifdef HAVE_OPENCL
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/time.h>
#include <signal.h>
#include <unistd.h>
#include "misc.h" // error()
#include "bt_twister.h"
#include "bt_hash_types.h"
#if _OPENMP > 201107
#define MAYBE_PARALLEL_FOR _Pragma("omp for")
#define MAYBE_ATOMIC_WRITE _Pragma("omp atomic write")
#define MAYBE_ATOMIC_CAPTURE _Pragma("omp atomic capture")
#else
#define MAYBE_PARALLEL_FOR _Pragma("omp single")
#define MAYBE_ATOMIC_WRITE
#define MAYBE_ATOMIC_CAPTURE
#endif
typedef struct {
/* List of indexes linked to offset_data_idx */
unsigned int *hash_location_list;
unsigned short collisions;
unsigned short iter;
unsigned int offset_table_idx;
} auxilliary_offset_data;
/* Interface pointers */
static unsigned int (*zero_check_ht)(unsigned int);
static void (*assign_ht)(unsigned int, unsigned int);
static void (*assign0_ht)(unsigned int);
static unsigned int (*calc_ht_idx)(unsigned int, unsigned int);
static unsigned int (*get_offset)(unsigned int, unsigned int);
static void (*allocate_ht)(unsigned int, unsigned int);
static int (*test_tables)(unsigned int, OFFSET_TABLE_WORD *, unsigned int, unsigned int, unsigned int, unsigned int);
static unsigned int (*remove_duplicates)(unsigned int, unsigned int, unsigned int);
static void *loaded_hashes;
static unsigned int hash_type = 0;
static unsigned int binary_size_actual = 0;
static unsigned int num_loaded_hashes = 0;
unsigned int hash_table_size = 0, shift64_ht_sz = 0, shift128_ht_sz = 0;
static OFFSET_TABLE_WORD *offset_table = NULL;
static unsigned int offset_table_size = 0, shift64_ot_sz = 0, shift128_ot_sz = 0;
static auxilliary_offset_data *offset_data = NULL;
unsigned long long total_memory_in_bytes = 0;
static volatile sig_atomic_t signal_stop = 0;
static unsigned int verbosity;
static void alarm_handler(int sig)
{
if (sig == SIGALRM)
signal_stop = 1;
}
static unsigned int coprime_check(unsigned int m,unsigned int n)
{
unsigned int rem;
while (n != 0) {
rem = m % n;
m = n;
n = rem;
}
return m;
}
static void release_all_lists()
{
unsigned int i;
for (i = 0; i < offset_table_size; i++)
bt_free((void **)&(offset_data[i].hash_location_list));
}
int bt_malloc(void **ptr, size_t size)
{
*ptr = mem_alloc(size);
if (*ptr || !size)
return 0;
return 1;
}
int bt_calloc(void **ptr, size_t num, size_t size)
{
*ptr = mem_calloc(num, size);
if (*ptr || !num)
return 0;
return 1;
}
int bt_memalign_alloc(void **ptr, size_t alignment, size_t size)
{
*ptr = mem_alloc_align(size, alignment);
if (*ptr || !size)
return 0;
return 1;
}
void bt_free(void **ptr)
{
MEM_FREE((*ptr));
*ptr = NULL;
}
void bt_error_fn(const char *str, char *file, int line)
{
fprintf(stderr, "%s in file:%s, line:%d.\n", str, file, line);
error();
}
void bt_warn_fn(const char *str, char *file, int line)
{
fprintf(stderr, "%s in file:%s, line:%d.\n", str, file, line);
}
static unsigned int modulo_op(void * hash, unsigned int N, uint64_t shift64, uint64_t shift128)
{
if (hash_type == 64)
return modulo64_31b(*(uint64_t *)hash, N);
else if (hash_type == 128)
return modulo128_31b(*(uint128_t *)hash, N, shift64);
else if (hash_type == 192)
return modulo192_31b(*(uint192_t *)hash, N, shift64, shift128);
else
fprintf(stderr, "modulo op error\n");
return 0;
}
/* Exploits the fact that sorting with a bucket is not essential. */
static void in_place_bucket_sort(unsigned int num_buckets)
{
unsigned int *histogram;
unsigned int *histogram_empty;
unsigned int *prefix_sum;
unsigned int i;
if (bt_calloc((void **)&histogram, num_buckets + 1, sizeof(unsigned int)))
bt_error("Failed to allocate memory: histogram.");
if (bt_calloc((void **)&histogram_empty, num_buckets + 1, sizeof(unsigned int)))
bt_error("Failed to allocate memory: histogram_empty.");
if (bt_calloc((void **)&prefix_sum, num_buckets + 10, sizeof(unsigned int)))
bt_error("Failed to allocate memory: prefix_sum.");
i = 0;
while (i < offset_table_size)
histogram[num_buckets - offset_data[i++].collisions]++;
for (i = 1; i <= num_buckets; i++)
prefix_sum[i] = prefix_sum[i - 1] + histogram[i - 1];
i = 0;
while (i < prefix_sum[num_buckets]) {
unsigned int histogram_index = num_buckets - offset_data[i].collisions;
if (i >= prefix_sum[histogram_index] &&
histogram_index < num_buckets &&
i < prefix_sum[histogram_index + 1]) {
histogram_empty[histogram_index]++;
i++;
}
else {
auxilliary_offset_data tmp;
unsigned int swap_index = prefix_sum[histogram_index] + histogram_empty[histogram_index];
histogram_empty[histogram_index]++;
tmp = offset_data[i];
offset_data[i] = offset_data[swap_index];
offset_data[swap_index] = tmp;
}
}
bt_free((void **)&histogram);
bt_free((void **)&histogram_empty);
bt_free((void **)&prefix_sum);
}
static void init_tables(unsigned int approx_offset_table_sz, unsigned int approx_hash_table_sz)
{
unsigned int i, max_collisions, offset_data_idx;
uint64_t shift128;
if (verbosity > 1)
fprintf(stdout, "\nInitialing Tables...");
total_memory_in_bytes = 0;
approx_hash_table_sz |= 1;
/* Repeat until two sizes are coprimes */
while (coprime_check(approx_offset_table_sz, approx_hash_table_sz) != 1)
approx_offset_table_sz++;
offset_table_size = approx_offset_table_sz;
hash_table_size = approx_hash_table_sz;
if (hash_table_size > 0x7fffffff || offset_table_size > 0x7fffffff)
bt_error("Reduce the number of loaded hashes to < 0x7fffffff.");
shift64_ht_sz = (((1ULL << 63) % hash_table_size) * 2) % hash_table_size;
shift64_ot_sz = (((1ULL << 63) % offset_table_size) * 2) % offset_table_size;
shift128 = (uint64_t)shift64_ht_sz * shift64_ht_sz;
shift128_ht_sz = shift128 % hash_table_size;
shift128 = (uint64_t)shift64_ot_sz * shift64_ot_sz;
shift128_ot_sz = shift128 % offset_table_size;
if (bt_malloc((void **)&offset_table, offset_table_size * sizeof(OFFSET_TABLE_WORD)))
bt_error("Failed to allocate memory: offset_table.");
total_memory_in_bytes += offset_table_size * sizeof(OFFSET_TABLE_WORD);
if (bt_malloc((void **)&offset_data, offset_table_size * sizeof(auxilliary_offset_data)))
bt_error("Failed to allocate memory: offset_data.");
total_memory_in_bytes += offset_table_size * sizeof(auxilliary_offset_data);
max_collisions = 0;
#if _OPENMP
#pragma omp parallel private(i, offset_data_idx)
#endif
{
#if _OPENMP
#pragma omp for
#endif
for (i = 0; i < offset_table_size; i++) {
//memset(&offset_data[i], 0, sizeof(auxilliary_offset_data));
offset_data[i].offset_table_idx = 0;
offset_data[i].collisions = 0;
offset_data[i].hash_location_list = NULL;
offset_data[i].iter = 0;
offset_table[i] = 0;
}
#if _OPENMP
#pragma omp barrier
#endif
/* Build Auxiliary data structure for offset_table. */
#if _OPENMP
#pragma omp for
#endif
for (i = 0; i < num_loaded_hashes; i++) {
offset_data_idx = modulo_op(loaded_hashes + i * binary_size_actual, offset_table_size, shift64_ot_sz, shift128_ot_sz);
#if _OPENMP
#pragma omp atomic
#endif
offset_data[offset_data_idx].collisions++;
}
#if _OPENMP
#pragma omp barrier
#pragma omp single
#endif
for (i = 0; i < offset_table_size; i++)
if (offset_data[i].collisions) {
if (bt_malloc((void **)&offset_data[i].hash_location_list, offset_data[i].collisions * sizeof(unsigned int)))
bt_error("Failed to allocate memory: offset_data[i].hash_location_list.");
if (offset_data[i].collisions > max_collisions)
max_collisions = offset_data[i].collisions;
}
#if _OPENMP
#pragma omp barrier
MAYBE_PARALLEL_FOR
#endif
for (i = 0; i < num_loaded_hashes; i++) {
unsigned int iter;
offset_data_idx = modulo_op(loaded_hashes + i * binary_size_actual, offset_table_size, shift64_ot_sz, shift128_ot_sz);
#if _OPENMP
MAYBE_ATOMIC_WRITE
#endif
offset_data[offset_data_idx].offset_table_idx = offset_data_idx;
#if _OPENMP
MAYBE_ATOMIC_CAPTURE
#endif
iter = offset_data[offset_data_idx].iter++;
offset_data[offset_data_idx].hash_location_list[iter] = i;
}
#if _OPENMP
#pragma omp barrier
#endif
}
total_memory_in_bytes += num_loaded_hashes * sizeof(unsigned int);
//qsort((void *)offset_data, offset_table_size, sizeof(auxilliary_offset_data), qsort_compare);
in_place_bucket_sort(max_collisions);
if (verbosity > 1)
fprintf(stdout, "Done\n");
allocate_ht(num_loaded_hashes, verbosity);
if (verbosity > 2) {
fprintf(stdout, "Offset Table Size %Lf %% of Number of Loaded Hashes.\n", ((long double)offset_table_size / (long double)num_loaded_hashes) * 100.00);
fprintf(stdout, "Offset Table Size(in GBs):%Lf\n", ((long double)offset_table_size * sizeof(OFFSET_TABLE_WORD)) / ((long double)1024 * 1024 * 1024));
fprintf(stdout, "Offset Table Aux Data Size(in GBs):%Lf\n", ((long double)offset_table_size * sizeof(auxilliary_offset_data)) / ((long double)1024 * 1024 * 1024));
fprintf(stdout, "Offset Table Aux List Size(in GBs):%Lf\n", ((long double)num_loaded_hashes * sizeof(unsigned int)) / ((long double)1024 * 1024 * 1024));
for (i = 0; i < offset_table_size && offset_data[i].collisions; i++)
;
fprintf(stdout, "Unused Slots in Offset Table:%Lf %%\n", 100.00 * (long double)(offset_table_size - i) / (long double)(offset_table_size));
fprintf(stdout, "Total Memory Use(in GBs):%Lf\n", ((long double)total_memory_in_bytes) / ((long double) 1024 * 1024 * 1024));
}
}
static unsigned int check_n_insert_into_hash_table(unsigned int offset, auxilliary_offset_data * ptr, unsigned int *hash_table_idxs, unsigned int *store_hash_modulo_table_sz)
{
unsigned int i;
i = 0;
while (i < ptr -> collisions) {
hash_table_idxs[i] = store_hash_modulo_table_sz[i] + offset;
if (hash_table_idxs[i] >= hash_table_size)
hash_table_idxs[i] -= hash_table_size;
if (zero_check_ht(hash_table_idxs[i++]))
return 0;
}
i = 0;
while (i < ptr -> collisions) {
if (zero_check_ht(hash_table_idxs[i])) {
unsigned int j = 0;
while (j < i)
assign0_ht(hash_table_idxs[j++]);
return 0;
}
assign_ht(hash_table_idxs[i], ptr -> hash_location_list[i]);
i++;
}
return 1;
}
static void calc_hash_mdoulo_table_size(unsigned int *store, auxilliary_offset_data * ptr) {
unsigned int i = 0;
while (i < ptr -> collisions) {
store[i] = modulo_op(loaded_hashes + (ptr -> hash_location_list[i]) * binary_size_actual, hash_table_size, shift64_ht_sz, shift128_ht_sz);
i++;
}
}
static unsigned int create_tables()
{
unsigned int i;
unsigned int bitmap = ((1ULL << (sizeof(OFFSET_TABLE_WORD) * 8)) - 1) & 0xFFFFFFFF;
unsigned int limit = bitmap % hash_table_size + 1;
unsigned int hash_table_idx;
unsigned int *store_hash_modulo_table_sz;
unsigned int *hash_table_idxs;
#ifdef ENABLE_BACKTRACKING
OFFSET_TABLE_WORD last_offset;
unsigned int backtracking = 0;
#endif
unsigned int trigger;
long double done = 0;
struct timeval t;
if (bt_malloc((void **)&store_hash_modulo_table_sz, offset_data[0].collisions * sizeof(unsigned int)))
bt_error("Failed to allocate memory: store_hash_modulo_table_sz.");
if (bt_malloc((void **)&hash_table_idxs, offset_data[0].collisions * sizeof(unsigned int)))
bt_error("Failed to allocate memory: hash_table_idxs.");
gettimeofday(&t, NULL);
seedMT(t.tv_sec + t.tv_usec);
i = 0;
trigger = 0;
while (offset_data[i].collisions > 1) {
OFFSET_TABLE_WORD offset;
unsigned int num_iter;
done += offset_data[i].collisions;
calc_hash_mdoulo_table_size(store_hash_modulo_table_sz, &offset_data[i]);
offset = (OFFSET_TABLE_WORD)(randomMT() & bitmap) % hash_table_size;
#ifdef ENABLE_BACKTRACKING
if (backtracking) {
offset = (last_offset + 1) % hash_table_size;
backtracking = 0;
}
#endif
alarm(3);
num_iter = 0;
while (!check_n_insert_into_hash_table((unsigned int)offset, &offset_data[i], hash_table_idxs, store_hash_modulo_table_sz) && num_iter < limit) {
offset++;
if (offset >= hash_table_size) offset = 0;
num_iter++;
}
offset_table[offset_data[i].offset_table_idx] = offset;
if ((trigger & 0xffff) == 0) {
trigger = 0;
if (verbosity > 0) {
fprintf(stdout, "\rProgress:%Lf %%, Number of collisions:%u", done / (long double)num_loaded_hashes * 100.00, offset_data[i].collisions);
fflush(stdout);
}
alarm(0);
}
if (signal_stop) {
alarm(0);
signal_stop = 0;
fprintf(stderr, "\nProgress is too slow!! trying next table size.\n");
bt_free((void **)&hash_table_idxs);
bt_free((void **)&store_hash_modulo_table_sz);
return 0;
}
trigger++;
if (num_iter == limit) {
#ifdef ENABLE_BACKTRACKING
if (num_loaded_hashes > 1000000) {
unsigned int j, backtrack_steps, iter;
done -= offset_data[i].collisions;
offset_table[offset_data[i].offset_table_idx] = 0;
backtrack_steps = 1;
j = 1;
while (j <= backtrack_steps && (int)(i - j) >= 0) {
last_offset = offset_table[offset_data[i - j].offset_table_idx];
iter = 0;
while (iter < offset_data[i - j].collisions) {
hash_table_idx =
calc_ht_idx(offset_data[i - j].hash_location_list[iter],
last_offset);
assign0_ht(hash_table_idx);
iter++;
}
offset_table[offset_data[i - j].offset_table_idx] = 0;
done -= offset_data[i - j].collisions;
j++;
}
i -= (j - 1);
backtracking = 1;
continue;
}
#endif
bt_free((void **)&hash_table_idxs);
bt_free((void **)&store_hash_modulo_table_sz);
return 0;
}
i++;
}
alarm(0);
hash_table_idx = 0;
while (offset_data[i].collisions > 0) {
done++;
while (hash_table_idx < hash_table_size) {
if (!zero_check_ht(hash_table_idx)) {
assign_ht(hash_table_idx, offset_data[i].hash_location_list[0]);
break;
}
hash_table_idx++;
}
offset_table[offset_data[i].offset_table_idx] = get_offset(hash_table_idx, offset_data[i].hash_location_list[0]);
if ((trigger & 0xffff) == 0) {
trigger = 0;
if (verbosity > 0) {
fprintf(stdout, "\rProgress:%Lf %%, Number of collisions:%u", done / (long double)num_loaded_hashes * 100.00, offset_data[i].collisions);
fflush(stdout);
}
}
trigger++;
i++;
}
bt_free((void **)&hash_table_idxs);
bt_free((void **)&store_hash_modulo_table_sz);
return 1;
}
static unsigned int next_prime(unsigned int num)
{
if (num == 1)
return 2;
else if (num == 2)
return 3;
else if (num == 3 || num == 4)
return 5;
else if (num == 5 || num == 6)
return 7;
else if (num >= 7 && num <= 9)
return 1;
/* else if (num == 11 || num == 12)
return 13;
else if (num >= 13 && num < 17)
return 17;
else if (num == 17 || num == 18)
return 19;
else if (num >= 19 && num < 23)
return 23;
else if (num >= 23 && num < 29)
return 29;
else if (num == 29 || num == 30 )
return 31;
else if (num >= 31 && num < 37)
return 37;
else if (num >= 37 && num < 41)
return 41;
else if (num == 41 || num == 42 )
return 43;
else if (num >= 43 && num < 47)
return 47;
else if (num >= 47 && num < 53)
return 53;
else if (num >= 53 && num < 59)
return 59;
else if (num == 59 || num == 60)
return 61;
else if (num >= 61 && num < 67)
return 67;
else if (num >= 67 && num < 71)
return 71;
else if (num == 71 || num == 72)
return 73;
else if (num >= 73 && num < 79)
return 79;
else if (num >= 79 && num < 83)
return 83;
else if (num >= 83 && num < 89)
return 89;
else if (num >= 89 && num < 97)
return 97;
else
return 1;*/
return 1;
}
unsigned int create_perfect_hash_table(int htype, void *loaded_hashes_ptr,
unsigned int num_ld_hashes,
OFFSET_TABLE_WORD **offset_table_ptr,
unsigned int *offset_table_sz_ptr,
unsigned int *hash_table_sz_ptr,
unsigned int verb)
{
long double multiplier_ht, multiplier_ot, inc_ht, inc_ot;
unsigned int approx_hash_table_sz, approx_offset_table_sz, i, dupe_remove_ht_sz;
struct sigaction new_action, old_action;
struct itimerval old_it;
total_memory_in_bytes = 0;
hash_type = htype;
loaded_hashes = loaded_hashes_ptr;
verbosity = verb;
if (hash_type == 64) {
zero_check_ht = zero_check_ht_64;
assign_ht = assign_ht_64;
assign0_ht = assign0_ht_64;
calc_ht_idx = calc_ht_idx_64;
get_offset = get_offset_64;
allocate_ht = allocate_ht_64;
test_tables = test_tables_64;
remove_duplicates = remove_duplicates_64;
loaded_hashes_64 = (uint64_t *)loaded_hashes;
binary_size_actual = 8;
if (verbosity > 1)
fprintf(stdout, "Using Hash type 64.\n");
}
else if (hash_type == 128) {
zero_check_ht = zero_check_ht_128;
assign_ht = assign_ht_128;
assign0_ht = assign0_ht_128;
calc_ht_idx = calc_ht_idx_128;
get_offset = get_offset_128;
allocate_ht = allocate_ht_128;
test_tables = test_tables_128;
remove_duplicates = remove_duplicates_128;
loaded_hashes_128 = (uint128_t *)loaded_hashes;
binary_size_actual = 16;
if (verbosity > 1)
fprintf(stdout, "Using Hash type 128.\n");
}
else if (hash_type == 192) {
zero_check_ht = zero_check_ht_192;
assign_ht = assign_ht_192;
assign0_ht = assign0_ht_192;
calc_ht_idx = calc_ht_idx_192;
get_offset = get_offset_192;
allocate_ht = allocate_ht_192;
test_tables = test_tables_192;
remove_duplicates = remove_duplicates_192;
loaded_hashes_192 = (uint192_t *)loaded_hashes;
binary_size_actual = 24;
if (verbosity > 1)
fprintf(stdout, "Using Hash type 192.\n");
}
new_action.sa_handler = alarm_handler;
sigemptyset(&new_action.sa_mask);
new_action.sa_flags = 0;
if (sigaction(SIGALRM, NULL, &old_action) < 0)
bt_error("Error retriving signal info.");
if (sigaction(SIGALRM, &new_action, NULL) < 0)
bt_error("Error setting new signal handler.");
if (getitimer(ITIMER_REAL, &old_it) < 0)
bt_error("Error retriving timer info.");
inc_ht = 0.005;
inc_ot = 0.05;
if (num_ld_hashes <= 100) {
multiplier_ot = 1.501375173;
inc_ht = 0.05;
inc_ot = 0.5;
dupe_remove_ht_sz = 128;
}
else if (num_ld_hashes <= 1000) {
multiplier_ot = 1.101375173;
dupe_remove_ht_sz = 1024;
}
else if (num_ld_hashes <= 10000) {
multiplier_ot = 1.151375173;
dupe_remove_ht_sz = 16384;
}
else if (num_ld_hashes <= 100000) {
multiplier_ot = 1.20375173;
dupe_remove_ht_sz = 131072;
}
else if (num_ld_hashes <= 1000000) {
multiplier_ot = 1.25375173;
dupe_remove_ht_sz = 1048576;
}
else if (num_ld_hashes <= 10000000) {
multiplier_ot = 1.31375173;
dupe_remove_ht_sz = 16777216;
}
else if (num_ld_hashes <= 20000000) {
multiplier_ot = 1.35375173;
dupe_remove_ht_sz = 33554432;
}
else if (num_ld_hashes <= 50000000) {
multiplier_ot = 1.41375173;
dupe_remove_ht_sz = 67108864;
}
else if (num_ld_hashes <= 110000000) {
multiplier_ot = 1.51375173;
dupe_remove_ht_sz = 134217728;
}
else if (num_ld_hashes <= 200000000) {
multiplier_ot = 1.61375173;
dupe_remove_ht_sz = 134217728 * 2;
}
else {
fprintf(stderr, "This many number of hashes have never been tested before and might not succeed!!\n");
multiplier_ot = 3.01375173;
dupe_remove_ht_sz = 134217728 * 4;
}
num_loaded_hashes = remove_duplicates(num_ld_hashes, dupe_remove_ht_sz, verbosity);
if (!num_loaded_hashes)
bt_error("Failed to remove duplicates.");
multiplier_ht = 1.001097317;
approx_offset_table_sz = (((long double)num_loaded_hashes / 4.0) * multiplier_ot + 10.00);
approx_hash_table_sz = ((long double)num_loaded_hashes * multiplier_ht);
i = 0;
do {
unsigned int temp;
init_tables(approx_offset_table_sz, approx_hash_table_sz);
if (create_tables()) {
if (verbosity > 0)
fprintf(stdout, "\n");
break;
}
if (verbosity > 0)
fprintf(stdout, "\n");
release_all_lists();
bt_free((void **)&offset_data);
bt_free((void **)&offset_table);
if (hash_type == 64)
bt_free((void **)&hash_table_64);
else if (hash_type == 128)
bt_free((void **)&hash_table_128);
else if (hash_type == 192)
bt_free((void **)&hash_table_192);
temp = next_prime(approx_offset_table_sz % 10);
approx_offset_table_sz /= 10;
approx_offset_table_sz *= 10;
approx_offset_table_sz += temp;
i++;
if (!(i % 5)) {
multiplier_ot += inc_ot;
multiplier_ht += inc_ht;
approx_offset_table_sz = (((long double)num_loaded_hashes / 4.0) * multiplier_ot + 10.00);
approx_hash_table_sz = ((long double)num_loaded_hashes * multiplier_ht);
}
} while(1);
release_all_lists();
bt_free((void **)&offset_data);
*offset_table_ptr = offset_table;
*hash_table_sz_ptr = hash_table_size;
*offset_table_sz_ptr = offset_table_size;
if (sigaction(SIGALRM, &old_action, NULL) < 0)
bt_error("Error restoring previous signal handler.");
if (setitimer(ITIMER_REAL, &old_it, NULL) < 0)
bt_error("Error restoring previous timer.");
if (!test_tables(num_loaded_hashes, offset_table, offset_table_size, shift64_ot_sz, shift128_ot_sz, verbosity))
return 0;
return num_loaded_hashes;
}
/*static int qsort_compare(const void *p1, const void *p2)
{
auxilliary_offset_data *a = (auxilliary_offset_data *)p1;
auxilliary_offset_data *b = (auxilliary_offset_data *)p2;
if (a[0].collisions > b[0].collisions) return -1;
if (a[0].collisions == b[0].collisions) return 0;
return 1;
}*/
#endif
|
layers.h | //
// layers.h
//
#ifndef layers_h
#define layers_h
#include<omp.h>
#include <stdbool.h>
#include<stdlib.h>
struct layer{
int num_nodes;
int prev_num_nodes;
float* W;
float* b;
float* Z;
float* A;
float* dW;
float* db;
float* dZ;
};
struct model{
int num_layers;
int num_features;
float * input;
struct layer* layers;
};
struct layer Dense(struct layer prevLayer, int num_nodes){
struct layer denseLayer;
int rows;
int cols;
denseLayer.num_nodes = num_nodes;
rows = prevLayer.num_nodes;
cols = num_nodes;
denseLayer.prev_num_nodes = rows;
/*Initilize the weights, bias, Z, activation matrix and and updation matrices*/
denseLayer.W = (float*) malloc(rows * cols * sizeof(float));
denseLayer.b = (float*) malloc(cols * sizeof(float));
denseLayer.dW = (float*) malloc(rows * cols * sizeof(float));
denseLayer.db = (float*) malloc(cols * sizeof(float));
#pragma omp parallel for collapse(2)
for (int i=0;i<rows;i++){
for (int j=0;j<cols;j++){
denseLayer.W[i*rows+j] = -1 + (rand() % 100)/50.0;
}
}
#pragma omp parallel for
for (int i=0;i<cols;i++){
denseLayer.b[i] = 0.0;
}
return denseLayer;
}
#endif /* layers_h */
|
convolutiondepthwise_3x3_pack8_fp16s.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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.
static void convdw3x3s1_pack8_fp16sa_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const __fp16* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
float16x8_t _bias0 = bias ? vld1q_f16(bias + g * 8) : vdupq_n_f16((__fp16)0.f);
const __fp16* k0 = kernel.row<const __fp16>(g);
__fp16* outptr0 = out.row<__fp16>(0);
__fp16* outptr1 = out.row<__fp16>(1);
const Mat img0 = bottom_blob.channel(g);
const __fp16* r0 = img0.row<const __fp16>(0);
const __fp16* r1 = img0.row<const __fp16>(1);
const __fp16* r2 = img0.row<const __fp16>(2);
const __fp16* r3 = img0.row<const __fp16>(3);
float16x8_t _k00 = vld1q_f16(k0);
float16x8_t _k01 = vld1q_f16(k0 + 8);
float16x8_t _k02 = vld1q_f16(k0 + 16);
float16x8_t _k10 = vld1q_f16(k0 + 24);
float16x8_t _k11 = vld1q_f16(k0 + 32);
float16x8_t _k12 = vld1q_f16(k0 + 40);
float16x8_t _k20 = vld1q_f16(k0 + 48);
float16x8_t _k21 = vld1q_f16(k0 + 56);
float16x8_t _k22 = vld1q_f16(k0 + 64);
int i = 0;
for (; i + 1 < outh; i += 2)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
asm volatile(
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v12.8h, v13.8h, v14.8h, v15.8h}, [%3], #64 \n" // r10 r11 r12 r13
"mov v24.16b, %21.16b \n" // sum00
"mov v25.16b, %21.16b \n" // sum01
"mov v26.16b, %21.16b \n" // sum02
"mov v27.16b, %21.16b \n" // sum03
"fmla v24.8h, %15.8h, v12.8h \n"
"fmla v25.8h, %15.8h, v13.8h \n"
"mov v28.16b, %21.16b \n" // sum10
"mov v29.16b, %21.16b \n" // sum11
"mov v30.16b, %21.16b \n" // sum12
"mov v31.16b, %21.16b \n" // sum13
"fmla v26.8h, %15.8h, v14.8h \n"
"fmla v27.8h, %15.8h, v15.8h \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v16.8h, v17.8h}, [%3] \n" // r14 r15
"fmla v28.8h, %12.8h, v12.8h \n"
"fmla v29.8h, %12.8h, v13.8h \n"
"fmla v30.8h, %12.8h, v14.8h \n"
"fmla v31.8h, %12.8h, v15.8h \n"
"fmla v24.8h, %16.8h, v13.8h \n"
"fmla v25.8h, %16.8h, v14.8h \n"
"fmla v26.8h, %16.8h, v15.8h \n"
"fmla v27.8h, %16.8h, v16.8h \n"
"fmla v28.8h, %13.8h, v13.8h \n"
"fmla v29.8h, %13.8h, v14.8h \n"
"fmla v30.8h, %13.8h, v15.8h \n"
"fmla v31.8h, %13.8h, v16.8h \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v18.8h, v19.8h, v20.8h, v21.8h}, [%4], #64 \n" // r20 r21 r22 r23
"fmla v24.8h, %17.8h, v14.8h \n"
"fmla v25.8h, %17.8h, v15.8h \n"
"fmla v26.8h, %17.8h, v16.8h \n"
"fmla v27.8h, %17.8h, v17.8h \n"
"fmla v28.8h, %14.8h, v14.8h \n"
"fmla v29.8h, %14.8h, v15.8h \n"
"fmla v30.8h, %14.8h, v16.8h \n"
"fmla v31.8h, %14.8h, v17.8h \n"
"fmla v24.8h, %18.8h, v18.8h \n"
"fmla v25.8h, %18.8h, v19.8h \n"
"fmla v26.8h, %18.8h, v20.8h \n"
"fmla v27.8h, %18.8h, v21.8h \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v22.8h, v23.8h}, [%4] \n" // r24 r25
"fmla v28.8h, %15.8h, v18.8h \n"
"fmla v29.8h, %15.8h, v19.8h \n"
"fmla v30.8h, %15.8h, v20.8h \n"
"fmla v31.8h, %15.8h, v21.8h \n"
"fmla v24.8h, %19.8h, v19.8h \n"
"fmla v25.8h, %19.8h, v20.8h \n"
"fmla v26.8h, %19.8h, v21.8h \n"
"fmla v27.8h, %19.8h, v22.8h \n"
"fmla v28.8h, %16.8h, v19.8h \n"
"fmla v29.8h, %16.8h, v20.8h \n"
"fmla v30.8h, %16.8h, v21.8h \n"
"fmla v31.8h, %16.8h, v22.8h \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v12.8h, v13.8h, v14.8h, v15.8h}, [%2], #64 \n" // r00 r01 r02 r03
"fmla v24.8h, %20.8h, v20.8h \n"
"fmla v25.8h, %20.8h, v21.8h \n"
"fmla v26.8h, %20.8h, v22.8h \n"
"fmla v27.8h, %20.8h, v23.8h \n"
"fmla v28.8h, %17.8h, v20.8h \n"
"fmla v29.8h, %17.8h, v21.8h \n"
"fmla v30.8h, %17.8h, v22.8h \n"
"fmla v31.8h, %17.8h, v23.8h \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v18.8h, v19.8h, v20.8h, v21.8h}, [%5], #64 \n" // r30 r31 r32 r33
"fmla v24.8h, %12.8h, v12.8h \n"
"fmla v25.8h, %12.8h, v13.8h \n"
"fmla v26.8h, %12.8h, v14.8h \n"
"fmla v27.8h, %12.8h, v15.8h \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v16.8h, v17.8h}, [%2] \n" // r04 r05
"fmla v28.8h, %18.8h, v18.8h \n"
"fmla v29.8h, %18.8h, v19.8h \n"
"fmla v30.8h, %18.8h, v20.8h \n"
"fmla v31.8h, %18.8h, v21.8h \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v22.8h, v23.8h}, [%5] \n" // r34 r35
"fmla v24.8h, %13.8h, v13.8h \n"
"fmla v25.8h, %13.8h, v14.8h \n"
"fmla v26.8h, %13.8h, v15.8h \n"
"fmla v27.8h, %13.8h, v16.8h \n"
"fmla v28.8h, %19.8h, v19.8h \n"
"fmla v29.8h, %19.8h, v20.8h \n"
"fmla v30.8h, %19.8h, v21.8h \n"
"fmla v31.8h, %19.8h, v22.8h \n"
"fmla v24.8h, %14.8h, v14.8h \n"
"fmla v25.8h, %14.8h, v15.8h \n"
"fmla v26.8h, %14.8h, v16.8h \n"
"fmla v27.8h, %14.8h, v17.8h \n"
"fmla v28.8h, %20.8h, v20.8h \n"
"fmla v29.8h, %20.8h, v21.8h \n"
"fmla v30.8h, %20.8h, v22.8h \n"
"fmla v31.8h, %20.8h, v23.8h \n"
"st1 {v24.8h, v25.8h, v26.8h, v27.8h}, [%0], #64 \n"
"st1 {v28.8h, v29.8h, v30.8h, v31.8h}, [%1], #64 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3) // %5
: "0"(outptr0),
"1"(outptr1),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"w"(_k00), // %12
"w"(_k01), // %13
"w"(_k02), // %14
"w"(_k10), // %15
"w"(_k11), // %16
"w"(_k12), // %17
"w"(_k20), // %18
"w"(_k21), // %19
"w"(_k22), // %20
"w"(_bias0) // %21
: "memory", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31");
}
for (; j + 1 < outw; j += 2)
{
asm volatile(
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v16.8h, v17.8h, v18.8h, v19.8h}, [%3] \n" // r10 r11 r12 r13
"mov v28.16b, %21.16b \n" // sum00
"mov v29.16b, %21.16b \n" // sum01
"mov v30.16b, %21.16b \n" // sum10
"mov v31.16b, %21.16b \n" // sum11
"fmla v28.8h, %15.8h, v16.8h \n"
"fmla v30.8h, %12.8h, v16.8h \n"
"fmla v29.8h, %15.8h, v17.8h \n"
"fmla v31.8h, %12.8h, v17.8h \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v20.8h, v21.8h, v22.8h, v23.8h}, [%4] \n" // r20 r21 r22 r23
"fmla v28.8h, %16.8h, v17.8h \n"
"fmla v30.8h, %13.8h, v17.8h \n"
"fmla v29.8h, %16.8h, v18.8h \n"
"fmla v31.8h, %13.8h, v18.8h \n"
"fmla v28.8h, %17.8h, v18.8h \n"
"fmla v30.8h, %14.8h, v18.8h \n"
"fmla v29.8h, %17.8h, v19.8h \n"
"fmla v31.8h, %14.8h, v19.8h \n"
"fmla v28.8h, %18.8h, v20.8h \n"
"fmla v30.8h, %15.8h, v20.8h \n"
"fmla v29.8h, %18.8h, v21.8h \n"
"fmla v31.8h, %15.8h, v21.8h \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v12.8h, v13.8h, v14.8h, v15.8h}, [%2] \n" // r00 r01 r02 r03
"fmla v28.8h, %19.8h, v21.8h \n"
"fmla v30.8h, %16.8h, v21.8h \n"
"fmla v29.8h, %19.8h, v22.8h \n"
"fmla v31.8h, %16.8h, v22.8h \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v24.8h, v25.8h, v26.8h, v27.8h}, [%5] \n" // r30 r31 r32 r33
"fmla v28.8h, %20.8h, v22.8h \n"
"fmla v30.8h, %17.8h, v22.8h \n"
"fmla v29.8h, %20.8h, v23.8h \n"
"fmla v31.8h, %17.8h, v23.8h \n"
"fmla v28.8h, %12.8h, v12.8h \n"
"fmla v30.8h, %18.8h, v24.8h \n"
"fmla v29.8h, %12.8h, v13.8h \n"
"fmla v31.8h, %18.8h, v25.8h \n"
"fmla v28.8h, %13.8h, v13.8h \n"
"fmla v30.8h, %19.8h, v25.8h \n"
"fmla v29.8h, %13.8h, v14.8h \n"
"fmla v31.8h, %19.8h, v26.8h \n"
"fmla v28.8h, %14.8h, v14.8h \n"
"fmla v30.8h, %20.8h, v26.8h \n"
"fmla v29.8h, %14.8h, v15.8h \n"
"fmla v31.8h, %20.8h, v27.8h \n"
"add %2, %2, #32 \n"
"add %3, %3, #32 \n"
"add %4, %4, #32 \n"
"add %5, %5, #32 \n"
"st1 {v28.8h, v29.8h}, [%0], #32 \n"
"st1 {v30.8h, v31.8h}, [%1], #32 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3) // %5
: "0"(outptr0),
"1"(outptr1),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"w"(_k00), // %12
"w"(_k01), // %13
"w"(_k02), // %14
"w"(_k10), // %15
"w"(_k11), // %16
"w"(_k12), // %17
"w"(_k20), // %18
"w"(_k21), // %19
"w"(_k22), // %20
"w"(_bias0) // %21
: "memory", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31");
}
for (; j < outw; j++)
{
asm volatile(
"prfm pldl1keep, [%3, #384] \n"
"ld1 {v15.8h, v16.8h, v17.8h}, [%3] \n" // r10 r11 r12
"mov v28.16b, %21.16b \n" // sum00
"mov v30.16b, %21.16b \n" // sum10
"fmul v29.8h, %15.8h, v15.8h \n"
"fmul v31.8h, %12.8h, v15.8h \n"
"prfm pldl1keep, [%4, #384] \n"
"ld1 {v18.8h, v19.8h, v20.8h}, [%4] \n" // r20 r21 r22
"fmla v28.8h, %16.8h, v16.8h \n"
"fmla v30.8h, %13.8h, v16.8h \n"
"fmla v29.8h, %17.8h, v17.8h \n"
"fmla v31.8h, %14.8h, v17.8h \n"
"prfm pldl1keep, [%2, #384] \n"
"ld1 {v12.8h, v13.8h, v14.8h}, [%2] \n" // r00 r01 r02
"fmla v28.8h, %18.8h, v18.8h \n"
"fmla v30.8h, %15.8h, v18.8h \n"
"fmla v29.8h, %19.8h, v19.8h \n"
"fmla v31.8h, %16.8h, v19.8h \n"
"prfm pldl1keep, [%5, #384] \n"
"ld1 {v21.8h, v22.8h, v23.8h}, [%5] \n" // r30 r31 r32
"fmla v28.8h, %20.8h, v20.8h \n"
"fmla v30.8h, %17.8h, v20.8h \n"
"fmla v29.8h, %12.8h, v12.8h \n"
"fmla v31.8h, %18.8h, v21.8h \n"
"fmla v28.8h, %13.8h, v13.8h \n"
"fmla v30.8h, %19.8h, v22.8h \n"
"fmla v29.8h, %14.8h, v14.8h \n"
"fmla v31.8h, %20.8h, v23.8h \n"
"add %2, %2, #16 \n"
"add %3, %3, #16 \n"
"fadd v28.8h, v28.8h, v29.8h \n"
"fadd v30.8h, v30.8h, v31.8h \n"
"add %4, %4, #16 \n"
"add %5, %5, #16 \n"
"st1 {v28.8h}, [%0], #16 \n"
"st1 {v30.8h}, [%1], #16 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3) // %5
: "0"(outptr0),
"1"(outptr1),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"w"(_k00), // %12
"w"(_k01), // %13
"w"(_k02), // %14
"w"(_k10), // %15
"w"(_k11), // %16
"w"(_k12), // %17
"w"(_k20), // %18
"w"(_k21), // %19
"w"(_k22), // %20
"w"(_bias0) // %21
: "memory", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v28", "v29", "v30", "v31");
}
r0 += 2 * 8 + w * 8;
r1 += 2 * 8 + w * 8;
r2 += 2 * 8 + w * 8;
r3 += 2 * 8 + w * 8;
outptr0 += outw * 8;
outptr1 += outw * 8;
}
for (; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
asm volatile(
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v12.8h, v13.8h, v14.8h, v15.8h}, [%1], #64 \n" // r00 r01 r02 r03
"mov v28.16b, %17.16b \n" // sum00
"mov v29.16b, %17.16b \n" // sum01
"mov v30.16b, %17.16b \n" // sum02
"mov v31.16b, %17.16b \n" // sum03
"fmla v28.8h, %8.8h, v12.8h \n"
"fmla v29.8h, %8.8h, v13.8h \n"
"fmla v30.8h, %8.8h, v14.8h \n"
"fmla v31.8h, %8.8h, v15.8h \n"
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v16.8h, v17.8h}, [%1] \n" // r04 r05
"fmla v28.8h, %9.8h, v13.8h \n"
"fmla v29.8h, %9.8h, v14.8h \n"
"fmla v30.8h, %9.8h, v15.8h \n"
"fmla v31.8h, %9.8h, v16.8h \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v18.8h, v19.8h, v20.8h, v21.8h}, [%2], #64 \n" // r10 r11 r12 r13
"fmla v28.8h, %10.8h, v14.8h \n"
"fmla v29.8h, %10.8h, v15.8h \n"
"fmla v30.8h, %10.8h, v16.8h \n"
"fmla v31.8h, %10.8h, v17.8h \n"
"fmla v28.8h, %11.8h, v18.8h \n"
"fmla v29.8h, %11.8h, v19.8h \n"
"fmla v30.8h, %11.8h, v20.8h \n"
"fmla v31.8h, %11.8h, v21.8h \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v22.8h, v23.8h}, [%2] \n" // r14 r15
"fmla v28.8h, %12.8h, v19.8h \n"
"fmla v29.8h, %12.8h, v20.8h \n"
"fmla v30.8h, %12.8h, v21.8h \n"
"fmla v31.8h, %12.8h, v22.8h \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v12.8h, v13.8h, v14.8h, v15.8h}, [%3], #64 \n" // r20 r21 r22 r23
"fmla v28.8h, %13.8h, v20.8h \n"
"fmla v29.8h, %13.8h, v21.8h \n"
"fmla v30.8h, %13.8h, v22.8h \n"
"fmla v31.8h, %13.8h, v23.8h \n"
"fmla v28.8h, %14.8h, v12.8h \n"
"fmla v29.8h, %14.8h, v13.8h \n"
"fmla v30.8h, %14.8h, v14.8h \n"
"fmla v31.8h, %14.8h, v15.8h \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v16.8h, v17.8h}, [%3] \n" // r24 r25
"fmla v28.8h, %15.8h, v13.8h \n"
"fmla v29.8h, %15.8h, v14.8h \n"
"fmla v30.8h, %15.8h, v15.8h \n"
"fmla v31.8h, %15.8h, v16.8h \n"
"fmla v28.8h, %16.8h, v14.8h \n"
"fmla v29.8h, %16.8h, v15.8h \n"
"fmla v30.8h, %16.8h, v16.8h \n"
"fmla v31.8h, %16.8h, v17.8h \n"
"st1 {v28.8h, v29.8h, v30.8h, v31.8h}, [%0], #64 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22), // %16
"w"(_bias0) // %17
: "memory", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v28", "v29", "v30", "v31");
}
for (; j + 1 < outw; j += 2)
{
asm volatile(
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v12.8h, v13.8h, v14.8h, v15.8h}, [%1] \n" // r00 r01 r02 r03
"mov v28.16b, %17.16b \n" // sum00
"mov v29.16b, %17.16b \n" // sum01
"fmul v30.8h, %8.8h, v12.8h \n"
"fmul v31.8h, %8.8h, v13.8h \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v16.8h, v17.8h, v18.8h, v19.8h}, [%2] \n" // r10 r11 r12 r13
"fmla v28.8h, %9.8h, v13.8h \n"
"fmla v29.8h, %9.8h, v14.8h \n"
"fmla v30.8h, %10.8h, v14.8h \n"
"fmla v31.8h, %10.8h, v15.8h \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v20.8h, v21.8h, v22.8h, v23.8h}, [%3] \n" // r20 r21 r22 r23
"fmla v28.8h, %11.8h, v16.8h \n"
"fmla v29.8h, %11.8h, v17.8h \n"
"fmla v30.8h, %12.8h, v17.8h \n"
"fmla v31.8h, %12.8h, v18.8h \n"
"fmla v28.8h, %13.8h, v18.8h \n"
"fmla v29.8h, %13.8h, v19.8h \n"
"fmla v30.8h, %14.8h, v20.8h \n"
"fmla v31.8h, %14.8h, v21.8h \n"
"fmla v28.8h, %15.8h, v21.8h \n"
"fmla v29.8h, %15.8h, v22.8h \n"
"fmla v30.8h, %16.8h, v22.8h \n"
"fmla v31.8h, %16.8h, v23.8h \n"
"add %1, %1, #32 \n"
"fadd v28.8h, v28.8h, v30.8h \n"
"fadd v29.8h, v29.8h, v31.8h \n"
"add %2, %2, #32 \n"
"add %3, %3, #32 \n"
"st1 {v28.8h, v29.8h}, [%0], #32 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22), // %16
"w"(_bias0) // %17
: "memory", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v28", "v29", "v30", "v31");
}
for (; j < outw; j++)
{
asm volatile(
"prfm pldl1keep, [%1, #384] \n"
"ld1 {v12.8h, v13.8h, v14.8h}, [%1] \n" // r00 r01 r02
"mov v28.16b, %17.16b \n" // sum00
"fmul v29.8h, %8.8h, v12.8h \n"
"prfm pldl1keep, [%2, #384] \n"
"ld1 {v15.8h, v16.8h, v17.8h}, [%2] \n" // r10 r11 r12
"fmul v30.8h, %9.8h, v13.8h \n"
"fmla v28.8h, %10.8h, v14.8h \n"
"prfm pldl1keep, [%3, #384] \n"
"ld1 {v18.8h, v19.8h, v20.8h}, [%3] \n" // r20 r21 r22
"fmla v29.8h, %11.8h, v15.8h \n"
"fmla v30.8h, %12.8h, v16.8h \n"
"fmla v28.8h, %13.8h, v17.8h \n"
"fmla v29.8h, %14.8h, v18.8h \n"
"fmla v30.8h, %15.8h, v19.8h \n"
"fmla v28.8h, %16.8h, v20.8h \n"
"add %1, %1, #16 \n"
"fadd v29.8h, v29.8h, v30.8h \n"
"fadd v28.8h, v28.8h, v29.8h \n"
"add %2, %2, #16 \n"
"add %3, %3, #16 \n"
"st1 {v28.8h}, [%0], #16 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22), // %16
"w"(_bias0) // %17
: "memory", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v28", "v29", "v30");
}
r0 += 2 * 8;
r1 += 2 * 8;
r2 += 2 * 8;
}
}
}
static void convdw3x3s2_pack8_fp16sa_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const int tailstep = (w - 2 * outw + w) * 8;
const __fp16* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
float16x8_t _bias0 = bias ? vld1q_f16(bias + g * 8) : vdupq_n_f16((__fp16)0.f);
const __fp16* k0 = kernel.row<const __fp16>(g);
__fp16* outptr0 = out;
const Mat img0 = bottom_blob.channel(g);
const __fp16* r0 = img0.row<const __fp16>(0);
const __fp16* r1 = img0.row<const __fp16>(1);
const __fp16* r2 = img0.row<const __fp16>(2);
float16x8_t _k00 = vld1q_f16(k0);
float16x8_t _k01 = vld1q_f16(k0 + 8);
float16x8_t _k02 = vld1q_f16(k0 + 16);
float16x8_t _k10 = vld1q_f16(k0 + 24);
float16x8_t _k11 = vld1q_f16(k0 + 32);
float16x8_t _k12 = vld1q_f16(k0 + 40);
float16x8_t _k20 = vld1q_f16(k0 + 48);
float16x8_t _k21 = vld1q_f16(k0 + 56);
float16x8_t _k22 = vld1q_f16(k0 + 64);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
asm volatile(
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v0.8h, v1.8h, v2.8h, v3.8h}, [%1], #64 \n" // r00 r01 r02 r03
"mov v28.16b, %17.16b \n" // sum00
"mov v29.16b, %17.16b \n" // sum01
"mov v30.16b, %17.16b \n" // sum02
"mov v31.16b, %17.16b \n" // sum03
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%1], #64 \n" // r04 r05 r06 r07
"fmla v28.8h, %8.8h, v0.8h \n"
"fmla v29.8h, %8.8h, v2.8h \n"
"fmla v30.8h, %8.8h, v4.8h \n"
"fmla v31.8h, %8.8h, v6.8h \n"
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v8.8h}, [%1] \n" // r08
"fmla v28.8h, %9.8h, v1.8h \n"
"fmla v29.8h, %9.8h, v3.8h \n"
"fmla v30.8h, %9.8h, v5.8h \n"
"fmla v31.8h, %9.8h, v7.8h \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v16.8h, v17.8h, v18.8h, v19.8h}, [%2], #64 \n" // r10 r11 r12 r13
"fmla v28.8h, %10.8h, v2.8h \n"
"fmla v29.8h, %10.8h, v4.8h \n"
"fmla v30.8h, %10.8h, v6.8h \n"
"fmla v31.8h, %10.8h, v8.8h \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v20.8h, v21.8h, v22.8h, v23.8h}, [%2], #64 \n" // r14 r15 r16 r17
"fmla v28.8h, %11.8h, v16.8h \n"
"fmla v29.8h, %11.8h, v18.8h \n"
"fmla v30.8h, %11.8h, v20.8h \n"
"fmla v31.8h, %11.8h, v22.8h \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v24.8h}, [%2] \n" // r18
"fmla v28.8h, %12.8h, v17.8h \n"
"fmla v29.8h, %12.8h, v19.8h \n"
"fmla v30.8h, %12.8h, v21.8h \n"
"fmla v31.8h, %12.8h, v23.8h \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.8h, v1.8h, v2.8h, v3.8h}, [%3], #64 \n" // r20 r21 r22 r23
"fmla v28.8h, %13.8h, v18.8h \n"
"fmla v29.8h, %13.8h, v20.8h \n"
"fmla v30.8h, %13.8h, v22.8h \n"
"fmla v31.8h, %13.8h, v24.8h \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%3], #64 \n" // r24 r25 r26 r27
"fmla v28.8h, %14.8h, v0.8h \n"
"fmla v29.8h, %14.8h, v2.8h \n"
"fmla v30.8h, %14.8h, v4.8h \n"
"fmla v31.8h, %14.8h, v6.8h \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v8.8h}, [%3] \n" // r28
"fmla v28.8h, %15.8h, v1.8h \n"
"fmla v29.8h, %15.8h, v3.8h \n"
"fmla v30.8h, %15.8h, v5.8h \n"
"fmla v31.8h, %15.8h, v7.8h \n"
"fmla v28.8h, %16.8h, v2.8h \n"
"fmla v29.8h, %16.8h, v4.8h \n"
"fmla v30.8h, %16.8h, v6.8h \n"
"fmla v31.8h, %16.8h, v8.8h \n"
"st1 {v28.8h, v29.8h, v30.8h, v31.8h}, [%0], #64 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22), // %16
"w"(_bias0) // %17
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v28", "v29", "v30", "v31");
}
for (; j + 1 < outw; j += 2)
{
asm volatile(
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v12.8h, v13.8h, v14.8h, v15.8h}, [%1], #64 \n" // r00 r01 r02 r03
"mov v28.16b, %17.16b \n" // sum00
"mov v29.16b, %17.16b \n" // sum01
"fmul v30.8h, %8.8h, v12.8h \n"
"fmul v31.8h, %8.8h, v14.8h \n"
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v16.8h}, [%1] \n" // r04
"fmla v28.8h, %9.8h, v13.8h \n"
"fmla v29.8h, %9.8h, v15.8h \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v17.8h, v18.8h, v19.8h, v20.8h}, [%2], #64 \n" // r10 r11 r12 r13
"fmla v30.8h, %10.8h, v14.8h \n"
"fmla v31.8h, %10.8h, v16.8h \n"
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v21.8h}, [%1] \n" // r14
"fmla v28.8h, %11.8h, v17.8h \n"
"fmla v29.8h, %11.8h, v19.8h \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v22.8h, v23.8h, v24.8h, v25.8h}, [%3], #64 \n" // r20 r21 r22 r23
"fmla v30.8h, %12.8h, v18.8h \n"
"fmla v31.8h, %12.8h, v20.8h \n"
"fmla v28.8h, %13.8h, v19.8h \n"
"fmla v29.8h, %13.8h, v21.8h \n"
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v26.8h}, [%1] \n" // r24
"fmla v30.8h, %14.8h, v22.8h \n"
"fmla v31.8h, %14.8h, v24.8h \n"
"fmla v28.8h, %15.8h, v23.8h \n"
"fmla v29.8h, %15.8h, v25.8h \n"
"fmla v30.8h, %16.8h, v24.8h \n"
"fmla v31.8h, %16.8h, v26.8h \n"
"fadd v28.8h, v28.8h, v30.8h \n"
"fadd v29.8h, v29.8h, v31.8h \n"
"st1 {v28.8h, v29.8h}, [%0], #32 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22), // %16
"w"(_bias0) // %17
: "memory", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v28", "v29", "v30", "v31");
}
for (; j < outw; j++)
{
asm volatile(
"prfm pldl1keep, [%1, #384] \n"
"ld1 {v12.8h, v13.8h, v14.8h}, [%1] \n" // r00 r01 r02
"mov v28.16b, %17.16b \n" // sum00
"fmul v29.8h, %8.8h, v12.8h \n"
"prfm pldl1keep, [%2, #384] \n"
"ld1 {v15.8h, v16.8h, v17.8h}, [%2] \n" // r10 r11 r12
"fmul v30.8h, %9.8h, v13.8h \n"
"fmla v28.8h, %10.8h, v14.8h \n"
"prfm pldl1keep, [%3, #384] \n"
"ld1 {v18.8h, v19.8h, v20.8h}, [%3] \n" // r20 r21 r22
"fmla v29.8h, %11.8h, v15.8h \n"
"fmla v30.8h, %12.8h, v16.8h \n"
"fmla v28.8h, %13.8h, v17.8h \n"
"fmla v29.8h, %14.8h, v18.8h \n"
"fmla v30.8h, %15.8h, v19.8h \n"
"fmla v28.8h, %16.8h, v20.8h \n"
"add %1, %1, #32 \n"
"fadd v29.8h, v29.8h, v30.8h \n"
"fadd v28.8h, v28.8h, v29.8h \n"
"add %2, %2, #32 \n"
"add %3, %3, #32 \n"
"st1 {v28.8h}, [%0], #16 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22), // %16
"w"(_bias0) // %17
: "memory", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v28", "v29", "v30");
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
}
}
|
generator_spgemm_csr_asparse.c | /******************************************************************************
** Copyright (c) 2015-2018, Intel Corporation **
** All rights reserved. **
** **
** Redistribution and use in source and binary forms, with or without **
** modification, are permitted provided that the following conditions **
** are met: **
** 1. Redistributions of source code must retain the above copyright **
** notice, this list of conditions and the following disclaimer. **
** 2. Redistributions in binary form must reproduce the above copyright **
** notice, this list of conditions and the following disclaimer in the **
** documentation and/or other materials provided with the distribution. **
** 3. Neither the name of the copyright holder 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 THE COPYRIGHT **
** HOLDER 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. **
******************************************************************************/
/* Alexander Heinecke (Intel Corp.)
******************************************************************************/
#include "generator_spgemm_csr_asparse.h"
#include "generator_common.h"
#include "libxsmm_main.h"
#if defined(LIBXSMM_OFFLOAD_TARGET)
# pragma offload_attribute(push,target(LIBXSMM_OFFLOAD_TARGET))
#endif
#include <stdlib.h>
#include <string.h>
#include <stdio.h>
#if defined(LIBXSMM_OFFLOAD_TARGET)
# pragma offload_attribute(pop)
#endif
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 ( i_xgemm_desc->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, "knc" ) == 0 ) ||
( strcmp( i_arch, "knl" ) == 0 ) ||
( strcmp( i_arch, "skx" ) == 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 );
}
|
parallelDeterminant2.c | // C program to find Deteminant of a matrix
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <omp.h>
// print matrix
void printNxNMatrix(double** matrix, int n) {
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
// printf("%f, ",matrix[i][j]);
}
// printf("\n");
}
// printf("\n");
}
// Function to get determinant of matrix
int determinantOfMatrix(double** matrix, int n, int p)
{
int index = 0;
double num1,num2,det = 1,total = 1; // Initialize result
// temporary array for storing row
double* temp = (double*)malloc((n+1)*sizeof(double));
//loop for traversing the diagonal elements
for(int i = 0; i < n; i++)
{
index = i; // initialize the index
// stop when there is non zero value
while(matrix[index][i] == (double)0 && index < n) {
index++;
}
if(index == n){
// the determinat of matrix as zero
continue;
}
// printf("index = %d when i = %d.\n",index,i);
if(index != i){
//loop for swaping the diagonal element row and index row
#pragma omp parallel for schedule(dynamic) num_threads(p)
for(int j = 0; j < n; j++){
// swap(mat[index][j],mat[i][j]);
double temp0 = matrix[index][j];
matrix[index][j] = matrix[i][j];
matrix[i][j] = temp0;
}
//determinant sign changes when we shift rows
//go through determinant properties
det = det*pow(-1,index-i);
}
// printf("det = %f",det);
#pragma omp parallel for num_threads(p)
for(int j = 0; j < n; j++) //storing the values of diagonal row elements
temp[j] = matrix[i][j];
// printf("matrix before traversing:\n");
// printfNxNMatrix(matrix, n);
// #pragma omp parallel for
{
for(int j = i+1; j < n; j++)//traversing every row below the diagonal element
{
num1 = temp[i]; //value of diagonal element
num2 = matrix[j][i]; //value of next row element
//traversing every column of row
// and multiplying to every row
#pragma omp parallel for num_threads(p)
for(int k = 0; k < n; k++)
{
//multiplying to make the diagonal
// element and next row element equal
matrix[j][k] = (num1 * matrix[j][k]) - (num2 * temp[k]);
// printf("matrix[j=%d][k=%d] = (num1=%f * matrix[j][k]) - (num2=%f * temp[k]=%f) = %f;\n",j,k,num1,num2,temp[k],matrix[j][k]);
// // printfNxNMatrix(matrix, n);
}
}
}
// printf("matrix after traversing and get total = %f:\n",total);
// printfNxNMatrix(matrix, n);
}
total=1;
//mulitplying the diagonal elements to get total
#pragma omp parallel for reduction(*:total)
for(int i = 0; i < n-1; i++){
int power = n-i-1;
total *= pow(matrix[i][i],power);
}
// printf("now total = %f:\n",total);
//mulitplying the diagonal elements to get determinant
#pragma omp parallel for reduction(*:det)
for(int i = 0; i < n; i++)
det = det * matrix[i][i];
return (det/total); //Det(kA)/k=Det(A);
}
// Driver code
int main() {
int i, j, n;
FILE *fp;
// read in file1
fp = fopen("largerNxN1.txt", "r");
fscanf(fp, "%i", &(n));
// printf("n is %i \n", n);
double** matrix = (double**)malloc(n*sizeof(double*));
for (i = 0; i<n; i++){
matrix[i] = (double*)malloc((n)*sizeof(double));
}
for (i = 0; i < n; ++i) {
for (j = 0;j < n; ++j) {
fscanf(fp, "%lf", &matrix[i][j]);
}
}
fclose(fp);
printNxNMatrix(matrix, n);
// printf("Finding Determinants...\n");
double t = omp_get_wtime();
determinantOfMatrix(matrix, n, 6);
printf("excution time is %0.5lf seconds\n", (omp_get_wtime()-t));
// printf("Input matrix:\n");
// printfNxNMatrix(matrix, n);
// printf("finding determinant....\n");
printf("Determinant of the matrix is : %d\n", determinantOfMatrix(matrix, n, 4));
// /*int mat[N][N] = {{6, 1, 1},
// {4, -2, 5},
// {2, 8, 7}}; */
// int mat[N][N] = {{1, 0, 2, -1},
// {3, 0, 0, 5},
// {2, 1, 4, -3},
// {1, 0, 5, 0}
// }; -> det = 30
return 0;
}
|
GB_unop__identity_bool_uint32.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_bool_uint32)
// op(A') function: GB (_unop_tran__identity_bool_uint32)
// C type: bool
// A type: uint32_t
// cast: bool cij = (bool) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint32_t
#define GB_CTYPE \
bool
// 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) \
bool z = (bool) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
bool z = (bool) aij ; \
Cx [pC] = z ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
0
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_BOOL || GxB_NO_UINT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_bool_uint32)
(
bool *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 ;
// 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 (uint32_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
uint32_t aij = Ax [p] ;
bool z = (bool) 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 ;
uint32_t aij = Ax [p] ;
bool z = (bool) 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_bool_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
|
asphere.h | #ifndef batoid_asphere_h
#define batoid_asphere_h
#include "surface.h"
#include "quadric.h"
namespace batoid {
#if defined(BATOID_GPU)
#pragma omp declare target
#endif
class Asphere : public Quadric {
public:
Asphere(double R, double conic, const double* coefs, size_t size);
~Asphere();
virtual const Surface* getDevPtr() const override;
virtual double sag(double, double) const override;
virtual void normal(
double x, double y,
double& nx, double& ny, double& nz
) const override;
virtual bool timeToIntersect(
double x, double y, double z,
double vx, double vy, double vz,
double& dt
) const override;
private:
const double* _coefs;
const double* _dzdrcoefs;
const size_t _size;
double _dzdr(double r) const;
static double* _computeDzDrCoefs(const double* coefs, const size_t size);
};
#if defined(BATOID_GPU)
#pragma omp end declare target
#endif
}
#endif
|
Sema.h | //===--- Sema.h - Semantic Analysis & AST Building --------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file defines the Sema class, which performs semantic analysis and
// builds ASTs.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_SEMA_SEMA_H
#define LLVM_CLANG_SEMA_SEMA_H
#include "clang/AST/ASTConcept.h"
#include "clang/AST/Attr.h"
#include "clang/AST/Availability.h"
#include "clang/AST/ComparisonCategories.h"
#include "clang/AST/DeclTemplate.h"
#include "clang/AST/DeclarationName.h"
#include "clang/AST/Expr.h"
#include "clang/AST/ExprCXX.h"
#include "clang/AST/ExprObjC.h"
#include "clang/AST/ExternalASTSource.h"
#include "clang/AST/LocInfoType.h"
#include "clang/AST/MangleNumberingContext.h"
#include "clang/AST/NSAPI.h"
#include "clang/AST/PrettyPrinter.h"
#include "clang/AST/StmtCXX.h"
#include "clang/AST/TypeLoc.h"
#include "clang/APINotes/APINotesManager.h"
#include "clang/AST/TypeOrdering.h"
#include "clang/Basic/BitmaskEnum.h"
#include "clang/Basic/ExpressionTraits.h"
#include "clang/Basic/Module.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/PragmaKinds.h"
#include "clang/Basic/Specifiers.h"
#include "clang/Basic/TemplateKinds.h"
#include "clang/Basic/TypeTraits.h"
#include "clang/Sema/AnalysisBasedWarnings.h"
#include "clang/Sema/CleanupInfo.h"
#include "clang/Sema/DeclSpec.h"
#include "clang/Sema/ExternalSemaSource.h"
#include "clang/Sema/IdentifierResolver.h"
#include "clang/Sema/ObjCMethodList.h"
#include "clang/Sema/Ownership.h"
#include "clang/Sema/Scope.h"
#include "clang/Sema/TypoCorrection.h"
#include "clang/Sema/Weak.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/Optional.h"
#include "llvm/ADT/SetVector.h"
#include "llvm/ADT/SmallBitVector.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/TinyPtrVector.h"
#include "llvm/Frontend/OpenMP/OMPConstants.h"
#include <deque>
#include <functional>
#include <memory>
#include <string>
#include <tuple>
#include <vector>
namespace llvm {
class APSInt;
template <typename ValueT> struct DenseMapInfo;
template <typename ValueT, typename ValueInfoT> class DenseSet;
class SmallBitVector;
struct InlineAsmIdentifierInfo;
}
namespace clang {
class ADLResult;
class ASTConsumer;
class ASTContext;
class ASTMutationListener;
class ASTReader;
class ASTWriter;
class ArrayType;
class ParsedAttr;
class BindingDecl;
class BlockDecl;
class CapturedDecl;
class CXXBasePath;
class CXXBasePaths;
class CXXBindTemporaryExpr;
typedef SmallVector<CXXBaseSpecifier*, 4> CXXCastPath;
class CXXConstructorDecl;
class CXXConversionDecl;
class CXXDeleteExpr;
class CXXDestructorDecl;
class CXXFieldCollector;
class CXXMemberCallExpr;
class CXXMethodDecl;
class CXXScopeSpec;
class CXXTemporary;
class CXXTryStmt;
class CallExpr;
class ClassTemplateDecl;
class ClassTemplatePartialSpecializationDecl;
class ClassTemplateSpecializationDecl;
class VarTemplatePartialSpecializationDecl;
class CodeCompleteConsumer;
class CodeCompletionAllocator;
class CodeCompletionTUInfo;
class CodeCompletionResult;
class CoroutineBodyStmt;
class Decl;
class DeclAccessPair;
class DeclContext;
class DeclRefExpr;
class DeclaratorDecl;
class DeducedTemplateArgument;
class DependentDiagnostic;
class DesignatedInitExpr;
class Designation;
class EnableIfAttr;
class EnumConstantDecl;
class Expr;
class ExtVectorType;
class FormatAttr;
class FriendDecl;
class FunctionDecl;
class FunctionProtoType;
class FunctionTemplateDecl;
class ImplicitConversionSequence;
typedef MutableArrayRef<ImplicitConversionSequence> ConversionSequenceList;
class InitListExpr;
class InitializationKind;
class InitializationSequence;
class InitializedEntity;
class IntegerLiteral;
class LabelStmt;
class LambdaExpr;
class LangOptions;
class LocalInstantiationScope;
class LookupResult;
class MacroInfo;
typedef ArrayRef<std::pair<IdentifierInfo *, SourceLocation>> ModuleIdPath;
class ModuleLoader;
class MultiLevelTemplateArgumentList;
class NamedDecl;
class ObjCCategoryDecl;
class ObjCCategoryImplDecl;
class ObjCCompatibleAliasDecl;
class ObjCContainerDecl;
class ObjCImplDecl;
class ObjCImplementationDecl;
class ObjCInterfaceDecl;
class ObjCIvarDecl;
template <class T> class ObjCList;
class ObjCMessageExpr;
class ObjCMethodDecl;
class ObjCPropertyDecl;
class ObjCProtocolDecl;
class OMPThreadPrivateDecl;
class OMPRequiresDecl;
class OMPDeclareReductionDecl;
class OMPDeclareSimdDecl;
class OMPClause;
struct OMPVarListLocTy;
struct OverloadCandidate;
enum class OverloadCandidateParamOrder : char;
enum OverloadCandidateRewriteKind : unsigned;
class OverloadCandidateSet;
class OverloadExpr;
class ParenListExpr;
class ParmVarDecl;
class Preprocessor;
class PseudoDestructorTypeStorage;
class PseudoObjectExpr;
class QualType;
class StandardConversionSequence;
class Stmt;
class StringLiteral;
class SwitchStmt;
class TemplateArgument;
class TemplateArgumentList;
class TemplateArgumentLoc;
class TemplateDecl;
class TemplateInstantiationCallback;
class TemplateParameterList;
class TemplatePartialOrderingContext;
class TemplateTemplateParmDecl;
class Token;
class TypeAliasDecl;
class TypedefDecl;
class TypedefNameDecl;
class TypeLoc;
class TypoCorrectionConsumer;
class UnqualifiedId;
class UnresolvedLookupExpr;
class UnresolvedMemberExpr;
class UnresolvedSetImpl;
class UnresolvedSetIterator;
class UsingDecl;
class UsingShadowDecl;
class ValueDecl;
class VarDecl;
class VarTemplateSpecializationDecl;
class VisibilityAttr;
class VisibleDeclConsumer;
class IndirectFieldDecl;
struct DeductionFailureInfo;
class TemplateSpecCandidateSet;
namespace sema {
class AccessedEntity;
class BlockScopeInfo;
class Capture;
class CapturedRegionScopeInfo;
class CapturingScopeInfo;
class CompoundScopeInfo;
class DelayedDiagnostic;
class DelayedDiagnosticPool;
class FunctionScopeInfo;
class LambdaScopeInfo;
class PossiblyUnreachableDiag;
class SemaPPCallbacks;
class TemplateDeductionInfo;
}
namespace threadSafety {
class BeforeSet;
void threadSafetyCleanup(BeforeSet* Cache);
}
// FIXME: No way to easily map from TemplateTypeParmTypes to
// TemplateTypeParmDecls, so we have this horrible PointerUnion.
typedef std::pair<llvm::PointerUnion<const TemplateTypeParmType*, NamedDecl*>,
SourceLocation> UnexpandedParameterPack;
/// Describes whether we've seen any nullability information for the given
/// file.
struct FileNullability {
/// The first pointer declarator (of any pointer kind) in the file that does
/// not have a corresponding nullability annotation.
SourceLocation PointerLoc;
/// The end location for the first pointer declarator in the file. Used for
/// placing fix-its.
SourceLocation PointerEndLoc;
/// Which kind of pointer declarator we saw.
uint8_t PointerKind;
/// Whether we saw any type nullability annotations in the given file.
bool SawTypeNullability = false;
};
/// A mapping from file IDs to a record of whether we've seen nullability
/// information in that file.
class FileNullabilityMap {
/// A mapping from file IDs to the nullability information for each file ID.
llvm::DenseMap<FileID, FileNullability> Map;
/// A single-element cache based on the file ID.
struct {
FileID File;
FileNullability Nullability;
} Cache;
public:
FileNullability &operator[](FileID file) {
// Check the single-element cache.
if (file == Cache.File)
return Cache.Nullability;
// It's not in the single-element cache; flush the cache if we have one.
if (!Cache.File.isInvalid()) {
Map[Cache.File] = Cache.Nullability;
}
// Pull this entry into the cache.
Cache.File = file;
Cache.Nullability = Map[file];
return Cache.Nullability;
}
};
/// Keeps track of expected type during expression parsing. The type is tied to
/// a particular token, all functions that update or consume the type take a
/// start location of the token they are looking at as a parameter. This allows
/// to avoid updating the type on hot paths in the parser.
class PreferredTypeBuilder {
public:
PreferredTypeBuilder() = default;
explicit PreferredTypeBuilder(QualType Type) : Type(Type) {}
void enterCondition(Sema &S, SourceLocation Tok);
void enterReturn(Sema &S, SourceLocation Tok);
void enterVariableInit(SourceLocation Tok, Decl *D);
/// Computing a type for the function argument may require running
/// overloading, so we postpone its computation until it is actually needed.
///
/// Clients should be very careful when using this funciton, as it stores a
/// function_ref, clients should make sure all calls to get() with the same
/// location happen while function_ref is alive.
void enterFunctionArgument(SourceLocation Tok,
llvm::function_ref<QualType()> ComputeType);
void enterParenExpr(SourceLocation Tok, SourceLocation LParLoc);
void enterUnary(Sema &S, SourceLocation Tok, tok::TokenKind OpKind,
SourceLocation OpLoc);
void enterBinary(Sema &S, SourceLocation Tok, Expr *LHS, tok::TokenKind Op);
void enterMemAccess(Sema &S, SourceLocation Tok, Expr *Base);
void enterSubscript(Sema &S, SourceLocation Tok, Expr *LHS);
/// Handles all type casts, including C-style cast, C++ casts, etc.
void enterTypeCast(SourceLocation Tok, QualType CastType);
QualType get(SourceLocation Tok) const {
if (Tok != ExpectedLoc)
return QualType();
if (!Type.isNull())
return Type;
if (ComputeType)
return ComputeType();
return QualType();
}
private:
/// Start position of a token for which we store expected type.
SourceLocation ExpectedLoc;
/// Expected type for a token starting at ExpectedLoc.
QualType Type;
/// A function to compute expected type at ExpectedLoc. It is only considered
/// if Type is null.
llvm::function_ref<QualType()> ComputeType;
};
/// Sema - This implements semantic analysis and AST building for C.
class Sema final {
Sema(const Sema &) = delete;
void operator=(const Sema &) = delete;
/// A key method to reduce duplicate debug info from Sema.
virtual void anchor();
///Source of additional semantic information.
ExternalSemaSource *ExternalSource;
///Whether Sema has generated a multiplexer and has to delete it.
bool isMultiplexExternalSource;
static bool mightHaveNonExternalLinkage(const DeclaratorDecl *FD);
bool isVisibleSlow(const NamedDecl *D);
/// Determine whether two declarations should be linked together, given that
/// the old declaration might not be visible and the new declaration might
/// not have external linkage.
bool shouldLinkPossiblyHiddenDecl(const NamedDecl *Old,
const NamedDecl *New) {
if (isVisible(Old))
return true;
// See comment in below overload for why it's safe to compute the linkage
// of the new declaration here.
if (New->isExternallyDeclarable()) {
assert(Old->isExternallyDeclarable() &&
"should not have found a non-externally-declarable previous decl");
return true;
}
return false;
}
bool shouldLinkPossiblyHiddenDecl(LookupResult &Old, const NamedDecl *New);
void setupImplicitSpecialMemberType(CXXMethodDecl *SpecialMem,
QualType ResultTy,
ArrayRef<QualType> Args);
public:
typedef OpaquePtr<DeclGroupRef> DeclGroupPtrTy;
typedef OpaquePtr<TemplateName> TemplateTy;
typedef OpaquePtr<QualType> TypeTy;
OpenCLOptions OpenCLFeatures;
FPOptions FPFeatures;
const LangOptions &LangOpts;
Preprocessor &PP;
ASTContext &Context;
ASTConsumer &Consumer;
DiagnosticsEngine &Diags;
SourceManager &SourceMgr;
api_notes::APINotesManager APINotes;
/// Flag indicating whether or not to collect detailed statistics.
bool CollectStats;
/// Code-completion consumer.
CodeCompleteConsumer *CodeCompleter;
/// CurContext - This is the current declaration context of parsing.
DeclContext *CurContext;
/// Generally null except when we temporarily switch decl contexts,
/// like in \see ActOnObjCTemporaryExitContainerContext.
DeclContext *OriginalLexicalContext;
/// VAListTagName - The declaration name corresponding to __va_list_tag.
/// This is used as part of a hack to omit that class from ADL results.
DeclarationName VAListTagName;
bool MSStructPragmaOn; // True when \#pragma ms_struct on
/// Controls member pointer representation format under the MS ABI.
LangOptions::PragmaMSPointersToMembersKind
MSPointerToMemberRepresentationMethod;
/// Stack of active SEH __finally scopes. Can be empty.
SmallVector<Scope*, 2> CurrentSEHFinally;
/// Source location for newly created implicit MSInheritanceAttrs
SourceLocation ImplicitMSInheritanceAttrLoc;
/// Holds TypoExprs that are created from `createDelayedTypo`. This is used by
/// `TransformTypos` in order to keep track of any TypoExprs that are created
/// recursively during typo correction and wipe them away if the correction
/// fails.
llvm::SmallVector<TypoExpr *, 2> TypoExprs;
/// pragma clang section kind
enum PragmaClangSectionKind {
PCSK_Invalid = 0,
PCSK_BSS = 1,
PCSK_Data = 2,
PCSK_Rodata = 3,
PCSK_Text = 4,
PCSK_Relro = 5
};
enum PragmaClangSectionAction {
PCSA_Set = 0,
PCSA_Clear = 1
};
struct PragmaClangSection {
std::string SectionName;
bool Valid = false;
SourceLocation PragmaLocation;
void Act(SourceLocation PragmaLocation,
PragmaClangSectionAction Action,
StringLiteral* Name);
};
PragmaClangSection PragmaClangBSSSection;
PragmaClangSection PragmaClangDataSection;
PragmaClangSection PragmaClangRodataSection;
PragmaClangSection PragmaClangRelroSection;
PragmaClangSection PragmaClangTextSection;
enum PragmaMsStackAction {
PSK_Reset = 0x0, // #pragma ()
PSK_Set = 0x1, // #pragma (value)
PSK_Push = 0x2, // #pragma (push[, id])
PSK_Pop = 0x4, // #pragma (pop[, id])
PSK_Show = 0x8, // #pragma (show) -- only for "pack"!
PSK_Push_Set = PSK_Push | PSK_Set, // #pragma (push[, id], value)
PSK_Pop_Set = PSK_Pop | PSK_Set, // #pragma (pop[, id], value)
};
template<typename ValueType>
struct PragmaStack {
struct Slot {
llvm::StringRef StackSlotLabel;
ValueType Value;
SourceLocation PragmaLocation;
SourceLocation PragmaPushLocation;
Slot(llvm::StringRef StackSlotLabel, ValueType Value,
SourceLocation PragmaLocation, SourceLocation PragmaPushLocation)
: StackSlotLabel(StackSlotLabel), Value(Value),
PragmaLocation(PragmaLocation),
PragmaPushLocation(PragmaPushLocation) {}
};
void Act(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
ValueType Value);
// MSVC seems to add artificial slots to #pragma stacks on entering a C++
// method body to restore the stacks on exit, so it works like this:
//
// struct S {
// #pragma <name>(push, InternalPragmaSlot, <current_pragma_value>)
// void Method {}
// #pragma <name>(pop, InternalPragmaSlot)
// };
//
// It works even with #pragma vtordisp, although MSVC doesn't support
// #pragma vtordisp(push [, id], n)
// syntax.
//
// Push / pop a named sentinel slot.
void SentinelAction(PragmaMsStackAction Action, StringRef Label) {
assert((Action == PSK_Push || Action == PSK_Pop) &&
"Can only push / pop #pragma stack sentinels!");
Act(CurrentPragmaLocation, Action, Label, CurrentValue);
}
// Constructors.
explicit PragmaStack(const ValueType &Default)
: DefaultValue(Default), CurrentValue(Default) {}
bool hasValue() const { return CurrentValue != DefaultValue; }
SmallVector<Slot, 2> Stack;
ValueType DefaultValue; // Value used for PSK_Reset action.
ValueType CurrentValue;
SourceLocation CurrentPragmaLocation;
};
// FIXME: We should serialize / deserialize these if they occur in a PCH (but
// we shouldn't do so if they're in a module).
/// Whether to insert vtordisps prior to virtual bases in the Microsoft
/// C++ ABI. Possible values are 0, 1, and 2, which mean:
///
/// 0: Suppress all vtordisps
/// 1: Insert vtordisps in the presence of vbase overrides and non-trivial
/// structors
/// 2: Always insert vtordisps to support RTTI on partially constructed
/// objects
PragmaStack<MSVtorDispMode> VtorDispStack;
// #pragma pack.
// Sentinel to represent when the stack is set to mac68k alignment.
static const unsigned kMac68kAlignmentSentinel = ~0U;
PragmaStack<unsigned> PackStack;
// The current #pragma pack values and locations at each #include.
struct PackIncludeState {
unsigned CurrentValue;
SourceLocation CurrentPragmaLocation;
bool HasNonDefaultValue, ShouldWarnOnInclude;
};
SmallVector<PackIncludeState, 8> PackIncludeStack;
// Segment #pragmas.
PragmaStack<StringLiteral *> DataSegStack;
PragmaStack<StringLiteral *> BSSSegStack;
PragmaStack<StringLiteral *> ConstSegStack;
PragmaStack<StringLiteral *> CodeSegStack;
// RAII object to push / pop sentinel slots for all MS #pragma stacks.
// Actions should be performed only if we enter / exit a C++ method body.
class PragmaStackSentinelRAII {
public:
PragmaStackSentinelRAII(Sema &S, StringRef SlotLabel, bool ShouldAct);
~PragmaStackSentinelRAII();
private:
Sema &S;
StringRef SlotLabel;
bool ShouldAct;
};
/// A mapping that describes the nullability we've seen in each header file.
FileNullabilityMap NullabilityMap;
/// Last section used with #pragma init_seg.
StringLiteral *CurInitSeg;
SourceLocation CurInitSegLoc;
/// VisContext - Manages the stack for \#pragma GCC visibility.
void *VisContext; // Really a "PragmaVisStack*"
/// This an attribute introduced by \#pragma clang attribute.
struct PragmaAttributeEntry {
SourceLocation Loc;
ParsedAttr *Attribute;
SmallVector<attr::SubjectMatchRule, 4> MatchRules;
bool IsUsed;
};
/// A push'd group of PragmaAttributeEntries.
struct PragmaAttributeGroup {
/// The location of the push attribute.
SourceLocation Loc;
/// The namespace of this push group.
const IdentifierInfo *Namespace;
SmallVector<PragmaAttributeEntry, 2> Entries;
};
SmallVector<PragmaAttributeGroup, 2> PragmaAttributeStack;
/// The declaration that is currently receiving an attribute from the
/// #pragma attribute stack.
const Decl *PragmaAttributeCurrentTargetDecl;
/// This represents the last location of a "#pragma clang optimize off"
/// directive if such a directive has not been closed by an "on" yet. If
/// optimizations are currently "on", this is set to an invalid location.
SourceLocation OptimizeOffPragmaLocation;
/// Flag indicating if Sema is building a recovery call expression.
///
/// This flag is used to avoid building recovery call expressions
/// if Sema is already doing so, which would cause infinite recursions.
bool IsBuildingRecoveryCallExpr;
/// Used to control the generation of ExprWithCleanups.
CleanupInfo Cleanup;
/// ExprCleanupObjects - This is the stack of objects requiring
/// cleanup that are created by the current full expression.
SmallVector<ExprWithCleanups::CleanupObject, 8> ExprCleanupObjects;
/// Store a set of either DeclRefExprs or MemberExprs that contain a reference
/// to a variable (constant) that may or may not be odr-used in this Expr, and
/// we won't know until all lvalue-to-rvalue and discarded value conversions
/// have been applied to all subexpressions of the enclosing full expression.
/// This is cleared at the end of each full expression.
using MaybeODRUseExprSet = llvm::SmallPtrSet<Expr *, 2>;
MaybeODRUseExprSet MaybeODRUseExprs;
std::unique_ptr<sema::FunctionScopeInfo> CachedFunctionScope;
/// Stack containing information about each of the nested
/// function, block, and method scopes that are currently active.
SmallVector<sema::FunctionScopeInfo *, 4> FunctionScopes;
typedef LazyVector<TypedefNameDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadExtVectorDecls, 2, 2>
ExtVectorDeclsType;
/// ExtVectorDecls - This is a list all the extended vector types. This allows
/// us to associate a raw vector type with one of the ext_vector type names.
/// This is only necessary for issuing pretty diagnostics.
ExtVectorDeclsType ExtVectorDecls;
/// FieldCollector - Collects CXXFieldDecls during parsing of C++ classes.
std::unique_ptr<CXXFieldCollector> FieldCollector;
typedef llvm::SmallSetVector<NamedDecl *, 16> NamedDeclSetType;
/// Set containing all declared private fields that are not used.
NamedDeclSetType UnusedPrivateFields;
/// Set containing all typedefs that are likely unused.
llvm::SmallSetVector<const TypedefNameDecl *, 4>
UnusedLocalTypedefNameCandidates;
/// Delete-expressions to be analyzed at the end of translation unit
///
/// This list contains class members, and locations of delete-expressions
/// that could not be proven as to whether they mismatch with new-expression
/// used in initializer of the field.
typedef std::pair<SourceLocation, bool> DeleteExprLoc;
typedef llvm::SmallVector<DeleteExprLoc, 4> DeleteLocs;
llvm::MapVector<FieldDecl *, DeleteLocs> DeleteExprs;
typedef llvm::SmallPtrSet<const CXXRecordDecl*, 8> RecordDeclSetTy;
/// PureVirtualClassDiagSet - a set of class declarations which we have
/// emitted a list of pure virtual functions. Used to prevent emitting the
/// same list more than once.
std::unique_ptr<RecordDeclSetTy> PureVirtualClassDiagSet;
/// ParsingInitForAutoVars - a set of declarations with auto types for which
/// we are currently parsing the initializer.
llvm::SmallPtrSet<const Decl*, 4> ParsingInitForAutoVars;
/// Look for a locally scoped extern "C" declaration by the given name.
NamedDecl *findLocallyScopedExternCDecl(DeclarationName Name);
typedef LazyVector<VarDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadTentativeDefinitions, 2, 2>
TentativeDefinitionsType;
/// All the tentative definitions encountered in the TU.
TentativeDefinitionsType TentativeDefinitions;
/// All the external declarations encoutered and used in the TU.
SmallVector<VarDecl *, 4> ExternalDeclarations;
typedef LazyVector<const DeclaratorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadUnusedFileScopedDecls, 2, 2>
UnusedFileScopedDeclsType;
/// The set of file scoped decls seen so far that have not been used
/// and must warn if not used. Only contains the first declaration.
UnusedFileScopedDeclsType UnusedFileScopedDecls;
typedef LazyVector<CXXConstructorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadDelegatingConstructors, 2, 2>
DelegatingCtorDeclsType;
/// All the delegating constructors seen so far in the file, used for
/// cycle detection at the end of the TU.
DelegatingCtorDeclsType DelegatingCtorDecls;
/// All the overriding functions seen during a class definition
/// that had their exception spec checks delayed, plus the overridden
/// function.
SmallVector<std::pair<const CXXMethodDecl*, const CXXMethodDecl*>, 2>
DelayedOverridingExceptionSpecChecks;
/// All the function redeclarations seen during a class definition that had
/// their exception spec checks delayed, plus the prior declaration they
/// should be checked against. Except during error recovery, the new decl
/// should always be a friend declaration, as that's the only valid way to
/// redeclare a special member before its class is complete.
SmallVector<std::pair<FunctionDecl*, FunctionDecl*>, 2>
DelayedEquivalentExceptionSpecChecks;
typedef llvm::MapVector<const FunctionDecl *,
std::unique_ptr<LateParsedTemplate>>
LateParsedTemplateMapT;
LateParsedTemplateMapT LateParsedTemplateMap;
/// Callback to the parser to parse templated functions when needed.
typedef void LateTemplateParserCB(void *P, LateParsedTemplate &LPT);
typedef void LateTemplateParserCleanupCB(void *P);
LateTemplateParserCB *LateTemplateParser;
LateTemplateParserCleanupCB *LateTemplateParserCleanup;
void *OpaqueParser;
void SetLateTemplateParser(LateTemplateParserCB *LTP,
LateTemplateParserCleanupCB *LTPCleanup,
void *P) {
LateTemplateParser = LTP;
LateTemplateParserCleanup = LTPCleanup;
OpaqueParser = P;
}
/// \brief Callback to the parser to parse a type expressed as a string.
std::function<TypeResult(StringRef, StringRef, SourceLocation)>
ParseTypeFromStringCallback;
class DelayedDiagnostics;
class DelayedDiagnosticsState {
sema::DelayedDiagnosticPool *SavedPool;
friend class Sema::DelayedDiagnostics;
};
typedef DelayedDiagnosticsState ParsingDeclState;
typedef DelayedDiagnosticsState ProcessingContextState;
/// A class which encapsulates the logic for delaying diagnostics
/// during parsing and other processing.
class DelayedDiagnostics {
/// The current pool of diagnostics into which delayed
/// diagnostics should go.
sema::DelayedDiagnosticPool *CurPool;
public:
DelayedDiagnostics() : CurPool(nullptr) {}
/// Adds a delayed diagnostic.
void add(const sema::DelayedDiagnostic &diag); // in DelayedDiagnostic.h
/// Determines whether diagnostics should be delayed.
bool shouldDelayDiagnostics() { return CurPool != nullptr; }
/// Returns the current delayed-diagnostics pool.
sema::DelayedDiagnosticPool *getCurrentPool() const {
return CurPool;
}
/// Enter a new scope. Access and deprecation diagnostics will be
/// collected in this pool.
DelayedDiagnosticsState push(sema::DelayedDiagnosticPool &pool) {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = &pool;
return state;
}
/// Leave a delayed-diagnostic state that was previously pushed.
/// Do not emit any of the diagnostics. This is performed as part
/// of the bookkeeping of popping a pool "properly".
void popWithoutEmitting(DelayedDiagnosticsState state) {
CurPool = state.SavedPool;
}
/// Enter a new scope where access and deprecation diagnostics are
/// not delayed.
DelayedDiagnosticsState pushUndelayed() {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = nullptr;
return state;
}
/// Undo a previous pushUndelayed().
void popUndelayed(DelayedDiagnosticsState state) {
assert(CurPool == nullptr);
CurPool = state.SavedPool;
}
} DelayedDiagnostics;
/// A RAII object to temporarily push a declaration context.
class ContextRAII {
private:
Sema &S;
DeclContext *SavedContext;
ProcessingContextState SavedContextState;
QualType SavedCXXThisTypeOverride;
public:
ContextRAII(Sema &S, DeclContext *ContextToPush, bool NewThisContext = true)
: S(S), SavedContext(S.CurContext),
SavedContextState(S.DelayedDiagnostics.pushUndelayed()),
SavedCXXThisTypeOverride(S.CXXThisTypeOverride)
{
assert(ContextToPush && "pushing null context");
S.CurContext = ContextToPush;
if (NewThisContext)
S.CXXThisTypeOverride = QualType();
}
void pop() {
if (!SavedContext) return;
S.CurContext = SavedContext;
S.DelayedDiagnostics.popUndelayed(SavedContextState);
S.CXXThisTypeOverride = SavedCXXThisTypeOverride;
SavedContext = nullptr;
}
~ContextRAII() {
pop();
}
};
/// Used to change context to isConstantEvaluated without pushing a heavy
/// ExpressionEvaluationContextRecord object.
bool isConstantEvaluatedOverride;
bool isConstantEvaluated() {
return ExprEvalContexts.back().isConstantEvaluated() ||
isConstantEvaluatedOverride;
}
/// RAII object to handle the state changes required to synthesize
/// a function body.
class SynthesizedFunctionScope {
Sema &S;
Sema::ContextRAII SavedContext;
bool PushedCodeSynthesisContext = false;
public:
SynthesizedFunctionScope(Sema &S, DeclContext *DC)
: S(S), SavedContext(S, DC) {
S.PushFunctionScope();
S.PushExpressionEvaluationContext(
Sema::ExpressionEvaluationContext::PotentiallyEvaluated);
if (auto *FD = dyn_cast<FunctionDecl>(DC))
FD->setWillHaveBody(true);
else
assert(isa<ObjCMethodDecl>(DC));
}
void addContextNote(SourceLocation UseLoc) {
assert(!PushedCodeSynthesisContext);
Sema::CodeSynthesisContext Ctx;
Ctx.Kind = Sema::CodeSynthesisContext::DefiningSynthesizedFunction;
Ctx.PointOfInstantiation = UseLoc;
Ctx.Entity = cast<Decl>(S.CurContext);
S.pushCodeSynthesisContext(Ctx);
PushedCodeSynthesisContext = true;
}
~SynthesizedFunctionScope() {
if (PushedCodeSynthesisContext)
S.popCodeSynthesisContext();
if (auto *FD = dyn_cast<FunctionDecl>(S.CurContext))
FD->setWillHaveBody(false);
S.PopExpressionEvaluationContext();
S.PopFunctionScopeInfo();
}
};
/// WeakUndeclaredIdentifiers - Identifiers contained in
/// \#pragma weak before declared. rare. may alias another
/// identifier, declared or undeclared
llvm::MapVector<IdentifierInfo *, WeakInfo> WeakUndeclaredIdentifiers;
/// ExtnameUndeclaredIdentifiers - Identifiers contained in
/// \#pragma redefine_extname before declared. Used in Solaris system headers
/// to define functions that occur in multiple standards to call the version
/// in the currently selected standard.
llvm::DenseMap<IdentifierInfo*,AsmLabelAttr*> ExtnameUndeclaredIdentifiers;
/// Load weak undeclared identifiers from the external source.
void LoadExternalWeakUndeclaredIdentifiers();
/// WeakTopLevelDecl - Translation-unit scoped declarations generated by
/// \#pragma weak during processing of other Decls.
/// I couldn't figure out a clean way to generate these in-line, so
/// we store them here and handle separately -- which is a hack.
/// It would be best to refactor this.
SmallVector<Decl*,2> WeakTopLevelDecl;
IdentifierResolver IdResolver;
/// Translation Unit Scope - useful to Objective-C actions that need
/// to lookup file scope declarations in the "ordinary" C decl namespace.
/// For example, user-defined classes, built-in "id" type, etc.
Scope *TUScope;
/// The C++ "std" namespace, where the standard library resides.
LazyDeclPtr StdNamespace;
/// The C++ "std::bad_alloc" class, which is defined by the C++
/// standard library.
LazyDeclPtr StdBadAlloc;
/// The C++ "std::align_val_t" enum class, which is defined by the C++
/// standard library.
LazyDeclPtr StdAlignValT;
/// The C++ "std::experimental" namespace, where the experimental parts
/// of the standard library resides.
NamespaceDecl *StdExperimentalNamespaceCache;
/// The C++ "std::initializer_list" template, which is defined in
/// \<initializer_list>.
ClassTemplateDecl *StdInitializerList;
/// The C++ "std::coroutine_traits" template, which is defined in
/// \<coroutine_traits>
ClassTemplateDecl *StdCoroutineTraitsCache;
/// The C++ "type_info" declaration, which is defined in \<typeinfo>.
RecordDecl *CXXTypeInfoDecl;
/// The MSVC "_GUID" struct, which is defined in MSVC header files.
RecordDecl *MSVCGuidDecl;
/// Caches identifiers/selectors for NSFoundation APIs.
std::unique_ptr<NSAPI> NSAPIObj;
/// The declaration of the Objective-C NSNumber class.
ObjCInterfaceDecl *NSNumberDecl;
/// The declaration of the Objective-C NSValue class.
ObjCInterfaceDecl *NSValueDecl;
/// Pointer to NSNumber type (NSNumber *).
QualType NSNumberPointer;
/// Pointer to NSValue type (NSValue *).
QualType NSValuePointer;
/// The Objective-C NSNumber methods used to create NSNumber literals.
ObjCMethodDecl *NSNumberLiteralMethods[NSAPI::NumNSNumberLiteralMethods];
/// The declaration of the Objective-C NSString class.
ObjCInterfaceDecl *NSStringDecl;
/// Pointer to NSString type (NSString *).
QualType NSStringPointer;
/// The declaration of the stringWithUTF8String: method.
ObjCMethodDecl *StringWithUTF8StringMethod;
/// The declaration of the valueWithBytes:objCType: method.
ObjCMethodDecl *ValueWithBytesObjCTypeMethod;
/// The declaration of the Objective-C NSArray class.
ObjCInterfaceDecl *NSArrayDecl;
/// The declaration of the arrayWithObjects:count: method.
ObjCMethodDecl *ArrayWithObjectsMethod;
/// The declaration of the Objective-C NSDictionary class.
ObjCInterfaceDecl *NSDictionaryDecl;
/// The declaration of the dictionaryWithObjects:forKeys:count: method.
ObjCMethodDecl *DictionaryWithObjectsMethod;
/// id<NSCopying> type.
QualType QIDNSCopying;
/// will hold 'respondsToSelector:'
Selector RespondsToSelectorSel;
/// A flag to remember whether the implicit forms of operator new and delete
/// have been declared.
bool GlobalNewDeleteDeclared;
/// A flag to indicate that we're in a context that permits abstract
/// references to fields. This is really a
bool AllowAbstractFieldReference;
/// Describes how the expressions currently being parsed are
/// evaluated at run-time, if at all.
enum class ExpressionEvaluationContext {
/// The current expression and its subexpressions occur within an
/// unevaluated operand (C++11 [expr]p7), such as the subexpression of
/// \c sizeof, where the type of the expression may be significant but
/// no code will be generated to evaluate the value of the expression at
/// run time.
Unevaluated,
/// The current expression occurs within a braced-init-list within
/// an unevaluated operand. This is mostly like a regular unevaluated
/// context, except that we still instantiate constexpr functions that are
/// referenced here so that we can perform narrowing checks correctly.
UnevaluatedList,
/// The current expression occurs within a discarded statement.
/// This behaves largely similarly to an unevaluated operand in preventing
/// definitions from being required, but not in other ways.
DiscardedStatement,
/// The current expression occurs within an unevaluated
/// operand that unconditionally permits abstract references to
/// fields, such as a SIZE operator in MS-style inline assembly.
UnevaluatedAbstract,
/// The current context is "potentially evaluated" in C++11 terms,
/// but the expression is evaluated at compile-time (like the values of
/// cases in a switch statement).
ConstantEvaluated,
/// The current expression is potentially evaluated at run time,
/// which means that code may be generated to evaluate the value of the
/// expression at run time.
PotentiallyEvaluated,
/// The current expression is potentially evaluated, but any
/// declarations referenced inside that expression are only used if
/// in fact the current expression is used.
///
/// This value is used when parsing default function arguments, for which
/// we would like to provide diagnostics (e.g., passing non-POD arguments
/// through varargs) but do not want to mark declarations as "referenced"
/// until the default argument is used.
PotentiallyEvaluatedIfUsed
};
/// Data structure used to record current or nested
/// expression evaluation contexts.
struct ExpressionEvaluationContextRecord {
/// The expression evaluation context.
ExpressionEvaluationContext Context;
/// Whether the enclosing context needed a cleanup.
CleanupInfo ParentCleanup;
/// Whether we are in a decltype expression.
bool IsDecltype;
/// The number of active cleanup objects when we entered
/// this expression evaluation context.
unsigned NumCleanupObjects;
/// The number of typos encountered during this expression evaluation
/// context (i.e. the number of TypoExprs created).
unsigned NumTypos;
MaybeODRUseExprSet SavedMaybeODRUseExprs;
/// The lambdas that are present within this context, if it
/// is indeed an unevaluated context.
SmallVector<LambdaExpr *, 2> Lambdas;
/// The declaration that provides context for lambda expressions
/// and block literals if the normal declaration context does not
/// suffice, e.g., in a default function argument.
Decl *ManglingContextDecl;
/// If we are processing a decltype type, a set of call expressions
/// for which we have deferred checking the completeness of the return type.
SmallVector<CallExpr *, 8> DelayedDecltypeCalls;
/// If we are processing a decltype type, a set of temporary binding
/// expressions for which we have deferred checking the destructor.
SmallVector<CXXBindTemporaryExpr *, 8> DelayedDecltypeBinds;
llvm::SmallPtrSet<const Expr *, 8> PossibleDerefs;
/// Expressions appearing as the LHS of a volatile assignment in this
/// context. We produce a warning for these when popping the context if
/// they are not discarded-value expressions nor unevaluated operands.
SmallVector<Expr*, 2> VolatileAssignmentLHSs;
/// \brief Describes whether we are in an expression constext which we have
/// to handle differently.
enum ExpressionKind {
EK_Decltype, EK_TemplateArgument, EK_Other
} ExprContext;
ExpressionEvaluationContextRecord(ExpressionEvaluationContext Context,
unsigned NumCleanupObjects,
CleanupInfo ParentCleanup,
Decl *ManglingContextDecl,
ExpressionKind ExprContext)
: Context(Context), ParentCleanup(ParentCleanup),
NumCleanupObjects(NumCleanupObjects), NumTypos(0),
ManglingContextDecl(ManglingContextDecl), ExprContext(ExprContext) {}
bool isUnevaluated() const {
return Context == ExpressionEvaluationContext::Unevaluated ||
Context == ExpressionEvaluationContext::UnevaluatedAbstract ||
Context == ExpressionEvaluationContext::UnevaluatedList;
}
bool isConstantEvaluated() const {
return Context == ExpressionEvaluationContext::ConstantEvaluated;
}
};
/// A stack of expression evaluation contexts.
SmallVector<ExpressionEvaluationContextRecord, 8> ExprEvalContexts;
/// Emit a warning for all pending noderef expressions that we recorded.
void WarnOnPendingNoDerefs(ExpressionEvaluationContextRecord &Rec);
/// Compute the mangling number context for a lambda expression or
/// block literal. Also return the extra mangling decl if any.
///
/// \param DC - The DeclContext containing the lambda expression or
/// block literal.
std::tuple<MangleNumberingContext *, Decl *>
getCurrentMangleNumberContext(const DeclContext *DC);
/// SpecialMemberOverloadResult - The overloading result for a special member
/// function.
///
/// This is basically a wrapper around PointerIntPair. The lowest bits of the
/// integer are used to determine whether overload resolution succeeded.
class SpecialMemberOverloadResult {
public:
enum Kind {
NoMemberOrDeleted,
Ambiguous,
Success
};
private:
llvm::PointerIntPair<CXXMethodDecl*, 2> Pair;
public:
SpecialMemberOverloadResult() : Pair() {}
SpecialMemberOverloadResult(CXXMethodDecl *MD)
: Pair(MD, MD->isDeleted() ? NoMemberOrDeleted : Success) {}
CXXMethodDecl *getMethod() const { return Pair.getPointer(); }
void setMethod(CXXMethodDecl *MD) { Pair.setPointer(MD); }
Kind getKind() const { return static_cast<Kind>(Pair.getInt()); }
void setKind(Kind K) { Pair.setInt(K); }
};
class SpecialMemberOverloadResultEntry
: public llvm::FastFoldingSetNode,
public SpecialMemberOverloadResult {
public:
SpecialMemberOverloadResultEntry(const llvm::FoldingSetNodeID &ID)
: FastFoldingSetNode(ID)
{}
};
/// A cache of special member function overload resolution results
/// for C++ records.
llvm::FoldingSet<SpecialMemberOverloadResultEntry> SpecialMemberCache;
/// A cache of the flags available in enumerations with the flag_bits
/// attribute.
mutable llvm::DenseMap<const EnumDecl*, llvm::APInt> FlagBitsCache;
/// The kind of translation unit we are processing.
///
/// When we're processing a complete translation unit, Sema will perform
/// end-of-translation-unit semantic tasks (such as creating
/// initializers for tentative definitions in C) once parsing has
/// completed. Modules and precompiled headers perform different kinds of
/// checks.
TranslationUnitKind TUKind;
llvm::BumpPtrAllocator BumpAlloc;
/// The number of SFINAE diagnostics that have been trapped.
unsigned NumSFINAEErrors;
typedef llvm::DenseMap<ParmVarDecl *, llvm::TinyPtrVector<ParmVarDecl *>>
UnparsedDefaultArgInstantiationsMap;
/// A mapping from parameters with unparsed default arguments to the
/// set of instantiations of each parameter.
///
/// This mapping is a temporary data structure used when parsing
/// nested class templates or nested classes of class templates,
/// where we might end up instantiating an inner class before the
/// default arguments of its methods have been parsed.
UnparsedDefaultArgInstantiationsMap UnparsedDefaultArgInstantiations;
// Contains the locations of the beginning of unparsed default
// argument locations.
llvm::DenseMap<ParmVarDecl *, SourceLocation> UnparsedDefaultArgLocs;
/// UndefinedInternals - all the used, undefined objects which require a
/// definition in this translation unit.
llvm::MapVector<NamedDecl *, SourceLocation> UndefinedButUsed;
/// Determine if VD, which must be a variable or function, is an external
/// symbol that nonetheless can't be referenced from outside this translation
/// unit because its type has no linkage and it's not extern "C".
bool isExternalWithNoLinkageType(ValueDecl *VD);
/// Obtain a sorted list of functions that are undefined but ODR-used.
void getUndefinedButUsed(
SmallVectorImpl<std::pair<NamedDecl *, SourceLocation> > &Undefined);
/// Retrieves list of suspicious delete-expressions that will be checked at
/// the end of translation unit.
const llvm::MapVector<FieldDecl *, DeleteLocs> &
getMismatchingDeleteExpressions() const;
typedef std::pair<ObjCMethodList, ObjCMethodList> GlobalMethods;
typedef llvm::DenseMap<Selector, GlobalMethods> GlobalMethodPool;
/// Method Pool - allows efficient lookup when typechecking messages to "id".
/// We need to maintain a list, since selectors can have differing signatures
/// across classes. In Cocoa, this happens to be extremely uncommon (only 1%
/// of selectors are "overloaded").
/// At the head of the list it is recorded whether there were 0, 1, or >= 2
/// methods inside categories with a particular selector.
GlobalMethodPool MethodPool;
/// Method selectors used in a \@selector expression. Used for implementation
/// of -Wselector.
llvm::MapVector<Selector, SourceLocation> ReferencedSelectors;
/// List of SourceLocations where 'self' is implicitly retained inside a
/// block.
llvm::SmallVector<std::pair<SourceLocation, const BlockDecl *>, 1>
ImplicitlyRetainedSelfLocs;
/// Kinds of C++ special members.
enum CXXSpecialMember {
CXXDefaultConstructor,
CXXCopyConstructor,
CXXMoveConstructor,
CXXCopyAssignment,
CXXMoveAssignment,
CXXDestructor,
CXXInvalid
};
typedef llvm::PointerIntPair<CXXRecordDecl *, 3, CXXSpecialMember>
SpecialMemberDecl;
/// The C++ special members which we are currently in the process of
/// declaring. If this process recursively triggers the declaration of the
/// same special member, we should act as if it is not yet declared.
llvm::SmallPtrSet<SpecialMemberDecl, 4> SpecialMembersBeingDeclared;
/// Kinds of defaulted comparison operator functions.
enum class DefaultedComparisonKind : unsigned char {
/// This is not a defaultable comparison operator.
None,
/// This is an operator== that should be implemented as a series of
/// subobject comparisons.
Equal,
/// This is an operator<=> that should be implemented as a series of
/// subobject comparisons.
ThreeWay,
/// This is an operator!= that should be implemented as a rewrite in terms
/// of a == comparison.
NotEqual,
/// This is an <, <=, >, or >= that should be implemented as a rewrite in
/// terms of a <=> comparison.
Relational,
};
/// The function definitions which were renamed as part of typo-correction
/// to match their respective declarations. We want to keep track of them
/// to ensure that we don't emit a "redefinition" error if we encounter a
/// correctly named definition after the renamed definition.
llvm::SmallPtrSet<const NamedDecl *, 4> TypoCorrectedFunctionDefinitions;
/// Stack of types that correspond to the parameter entities that are
/// currently being copy-initialized. Can be empty.
llvm::SmallVector<QualType, 4> CurrentParameterCopyTypes;
void ReadMethodPool(Selector Sel);
void updateOutOfDateSelector(Selector Sel);
/// Private Helper predicate to check for 'self'.
bool isSelfExpr(Expr *RExpr);
bool isSelfExpr(Expr *RExpr, const ObjCMethodDecl *Method);
/// Cause the active diagnostic on the DiagosticsEngine to be
/// emitted. This is closely coupled to the SemaDiagnosticBuilder class and
/// should not be used elsewhere.
void EmitCurrentDiagnostic(unsigned DiagID);
/// Records and restores the FP_CONTRACT state on entry/exit of compound
/// statements.
class FPContractStateRAII {
public:
FPContractStateRAII(Sema &S) : S(S), OldFPFeaturesState(S.FPFeatures) {}
~FPContractStateRAII() { S.FPFeatures = OldFPFeaturesState; }
private:
Sema& S;
FPOptions OldFPFeaturesState;
};
void addImplicitTypedef(StringRef Name, QualType T);
bool WarnedStackExhausted = false;
public:
Sema(Preprocessor &pp, ASTContext &ctxt, ASTConsumer &consumer,
TranslationUnitKind TUKind = TU_Complete,
CodeCompleteConsumer *CompletionConsumer = nullptr);
~Sema();
/// Perform initialization that occurs after the parser has been
/// initialized but before it parses anything.
void Initialize();
const LangOptions &getLangOpts() const { return LangOpts; }
OpenCLOptions &getOpenCLOptions() { return OpenCLFeatures; }
FPOptions &getFPOptions() { return FPFeatures; }
DiagnosticsEngine &getDiagnostics() const { return Diags; }
SourceManager &getSourceManager() const { return SourceMgr; }
Preprocessor &getPreprocessor() const { return PP; }
ASTContext &getASTContext() const { return Context; }
ASTConsumer &getASTConsumer() const { return Consumer; }
ASTMutationListener *getASTMutationListener() const;
ExternalSemaSource* getExternalSource() const { return ExternalSource; }
///Registers an external source. If an external source already exists,
/// creates a multiplex external source and appends to it.
///
///\param[in] E - A non-null external sema source.
///
void addExternalSource(ExternalSemaSource *E);
void PrintStats() const;
/// Warn that the stack is nearly exhausted.
void warnStackExhausted(SourceLocation Loc);
/// Run some code with "sufficient" stack space. (Currently, at least 256K is
/// guaranteed). Produces a warning if we're low on stack space and allocates
/// more in that case. Use this in code that may recurse deeply (for example,
/// in template instantiation) to avoid stack overflow.
void runWithSufficientStackSpace(SourceLocation Loc,
llvm::function_ref<void()> Fn);
/// Helper class that creates diagnostics with optional
/// template instantiation stacks.
///
/// This class provides a wrapper around the basic DiagnosticBuilder
/// class that emits diagnostics. SemaDiagnosticBuilder is
/// responsible for emitting the diagnostic (as DiagnosticBuilder
/// does) and, if the diagnostic comes from inside a template
/// instantiation, printing the template instantiation stack as
/// well.
class SemaDiagnosticBuilder : public DiagnosticBuilder {
Sema &SemaRef;
unsigned DiagID;
public:
SemaDiagnosticBuilder(DiagnosticBuilder &DB, Sema &SemaRef, unsigned DiagID)
: DiagnosticBuilder(DB), SemaRef(SemaRef), DiagID(DiagID) { }
// This is a cunning lie. DiagnosticBuilder actually performs move
// construction in its copy constructor (but due to varied uses, it's not
// possible to conveniently express this as actual move construction). So
// the default copy ctor here is fine, because the base class disables the
// source anyway, so the user-defined ~SemaDiagnosticBuilder is a safe no-op
// in that case anwyay.
SemaDiagnosticBuilder(const SemaDiagnosticBuilder&) = default;
~SemaDiagnosticBuilder() {
// If we aren't active, there is nothing to do.
if (!isActive()) return;
// Otherwise, we need to emit the diagnostic. First flush the underlying
// DiagnosticBuilder data, and clear the diagnostic builder itself so it
// won't emit the diagnostic in its own destructor.
//
// This seems wasteful, in that as written the DiagnosticBuilder dtor will
// do its own needless checks to see if the diagnostic needs to be
// emitted. However, because we take care to ensure that the builder
// objects never escape, a sufficiently smart compiler will be able to
// eliminate that code.
FlushCounts();
Clear();
// Dispatch to Sema to emit the diagnostic.
SemaRef.EmitCurrentDiagnostic(DiagID);
}
/// Teach operator<< to produce an object of the correct type.
template<typename T>
friend const SemaDiagnosticBuilder &operator<<(
const SemaDiagnosticBuilder &Diag, const T &Value) {
const DiagnosticBuilder &BaseDiag = Diag;
BaseDiag << Value;
return Diag;
}
};
/// Emit a diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, unsigned DiagID) {
DiagnosticBuilder DB = Diags.Report(Loc, DiagID);
return SemaDiagnosticBuilder(DB, *this, DiagID);
}
/// Emit a partial diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, const PartialDiagnostic& PD);
/// Build a partial diagnostic.
PartialDiagnostic PDiag(unsigned DiagID = 0); // in SemaInternal.h
bool findMacroSpelling(SourceLocation &loc, StringRef name);
/// Get a string to suggest for zero-initialization of a type.
std::string
getFixItZeroInitializerForType(QualType T, SourceLocation Loc) const;
std::string getFixItZeroLiteralForType(QualType T, SourceLocation Loc) const;
/// Calls \c Lexer::getLocForEndOfToken()
SourceLocation getLocForEndOfToken(SourceLocation Loc, unsigned Offset = 0);
/// Retrieve the module loader associated with the preprocessor.
ModuleLoader &getModuleLoader() const;
void emitAndClearUnusedLocalTypedefWarnings();
enum TUFragmentKind {
/// The global module fragment, between 'module;' and a module-declaration.
Global,
/// A normal translation unit fragment. For a non-module unit, this is the
/// entire translation unit. Otherwise, it runs from the module-declaration
/// to the private-module-fragment (if any) or the end of the TU (if not).
Normal,
/// The private module fragment, between 'module :private;' and the end of
/// the translation unit.
Private
};
void ActOnStartOfTranslationUnit();
void ActOnEndOfTranslationUnit();
void ActOnEndOfTranslationUnitFragment(TUFragmentKind Kind);
void CheckDelegatingCtorCycles();
Scope *getScopeForContext(DeclContext *Ctx);
void PushFunctionScope();
void PushBlockScope(Scope *BlockScope, BlockDecl *Block);
sema::LambdaScopeInfo *PushLambdaScope();
/// This is used to inform Sema what the current TemplateParameterDepth
/// is during Parsing. Currently it is used to pass on the depth
/// when parsing generic lambda 'auto' parameters.
void RecordParsingTemplateParameterDepth(unsigned Depth);
void PushCapturedRegionScope(Scope *RegionScope, CapturedDecl *CD,
RecordDecl *RD, CapturedRegionKind K,
unsigned OpenMPCaptureLevel = 0);
/// Custom deleter to allow FunctionScopeInfos to be kept alive for a short
/// time after they've been popped.
class PoppedFunctionScopeDeleter {
Sema *Self;
public:
explicit PoppedFunctionScopeDeleter(Sema *Self) : Self(Self) {}
void operator()(sema::FunctionScopeInfo *Scope) const;
};
using PoppedFunctionScopePtr =
std::unique_ptr<sema::FunctionScopeInfo, PoppedFunctionScopeDeleter>;
PoppedFunctionScopePtr
PopFunctionScopeInfo(const sema::AnalysisBasedWarnings::Policy *WP = nullptr,
const Decl *D = nullptr,
QualType BlockType = QualType());
sema::FunctionScopeInfo *getCurFunction() const {
return FunctionScopes.empty() ? nullptr : FunctionScopes.back();
}
sema::FunctionScopeInfo *getEnclosingFunction() const;
void setFunctionHasBranchIntoScope();
void setFunctionHasBranchProtectedScope();
void setFunctionHasIndirectGoto();
void PushCompoundScope(bool IsStmtExpr);
void PopCompoundScope();
sema::CompoundScopeInfo &getCurCompoundScope() const;
bool hasAnyUnrecoverableErrorsInThisFunction() const;
/// Retrieve the current block, if any.
sema::BlockScopeInfo *getCurBlock();
/// Get the innermost lambda enclosing the current location, if any. This
/// looks through intervening non-lambda scopes such as local functions and
/// blocks.
sema::LambdaScopeInfo *getEnclosingLambda() const;
/// Retrieve the current lambda scope info, if any.
/// \param IgnoreNonLambdaCapturingScope true if should find the top-most
/// lambda scope info ignoring all inner capturing scopes that are not
/// lambda scopes.
sema::LambdaScopeInfo *
getCurLambda(bool IgnoreNonLambdaCapturingScope = false);
/// Retrieve the current generic lambda info, if any.
sema::LambdaScopeInfo *getCurGenericLambda();
/// Retrieve the current captured region, if any.
sema::CapturedRegionScopeInfo *getCurCapturedRegion();
/// WeakTopLevelDeclDecls - access to \#pragma weak-generated Decls
SmallVectorImpl<Decl *> &WeakTopLevelDecls() { return WeakTopLevelDecl; }
void ActOnComment(SourceRange Comment);
//===--------------------------------------------------------------------===//
// Type Analysis / Processing: SemaType.cpp.
//
QualType BuildQualifiedType(QualType T, SourceLocation Loc, Qualifiers Qs,
const DeclSpec *DS = nullptr);
QualType BuildQualifiedType(QualType T, SourceLocation Loc, unsigned CVRA,
const DeclSpec *DS = nullptr);
QualType BuildPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildReferenceType(QualType T, bool LValueRef,
SourceLocation Loc, DeclarationName Entity);
QualType BuildArrayType(QualType T, ArrayType::ArraySizeModifier ASM,
Expr *ArraySize, unsigned Quals,
SourceRange Brackets, DeclarationName Entity);
QualType BuildVectorType(QualType T, Expr *VecSize, SourceLocation AttrLoc);
QualType BuildExtVectorType(QualType T, Expr *ArraySize,
SourceLocation AttrLoc);
QualType BuildAddressSpaceAttr(QualType &T, LangAS ASIdx, Expr *AddrSpace,
SourceLocation AttrLoc);
/// Same as above, but constructs the AddressSpace index if not provided.
QualType BuildAddressSpaceAttr(QualType &T, Expr *AddrSpace,
SourceLocation AttrLoc);
bool CheckQualifiedFunctionForTypeId(QualType T, SourceLocation Loc);
bool CheckFunctionReturnType(QualType T, SourceLocation Loc);
/// Build a function type.
///
/// This routine checks the function type according to C++ rules and
/// under the assumption that the result type and parameter types have
/// just been instantiated from a template. It therefore duplicates
/// some of the behavior of GetTypeForDeclarator, but in a much
/// simpler form that is only suitable for this narrow use case.
///
/// \param T The return type of the function.
///
/// \param ParamTypes The parameter types of the function. This array
/// will be modified to account for adjustments to the types of the
/// function parameters.
///
/// \param Loc The location of the entity whose type involves this
/// function type or, if there is no such entity, the location of the
/// type that will have function type.
///
/// \param Entity The name of the entity that involves the function
/// type, if known.
///
/// \param EPI Extra information about the function type. Usually this will
/// be taken from an existing function with the same prototype.
///
/// \returns A suitable function type, if there are no errors. The
/// unqualified type will always be a FunctionProtoType.
/// Otherwise, returns a NULL type.
QualType BuildFunctionType(QualType T,
MutableArrayRef<QualType> ParamTypes,
SourceLocation Loc, DeclarationName Entity,
const FunctionProtoType::ExtProtoInfo &EPI);
QualType BuildMemberPointerType(QualType T, QualType Class,
SourceLocation Loc,
DeclarationName Entity);
QualType BuildBlockPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildParenType(QualType T);
QualType BuildAtomicType(QualType T, SourceLocation Loc);
QualType BuildReadPipeType(QualType T,
SourceLocation Loc);
QualType BuildWritePipeType(QualType T,
SourceLocation Loc);
TypeSourceInfo *GetTypeForDeclarator(Declarator &D, Scope *S);
TypeSourceInfo *GetTypeForDeclaratorCast(Declarator &D, QualType FromTy);
/// Package the given type and TSI into a ParsedType.
ParsedType CreateParsedType(QualType T, TypeSourceInfo *TInfo);
DeclarationNameInfo GetNameForDeclarator(Declarator &D);
DeclarationNameInfo GetNameFromUnqualifiedId(const UnqualifiedId &Name);
static QualType GetTypeFromParser(ParsedType Ty,
TypeSourceInfo **TInfo = nullptr);
CanThrowResult canThrow(const Stmt *E);
const FunctionProtoType *ResolveExceptionSpec(SourceLocation Loc,
const FunctionProtoType *FPT);
void UpdateExceptionSpec(FunctionDecl *FD,
const FunctionProtoType::ExceptionSpecInfo &ESI);
bool CheckSpecifiedExceptionType(QualType &T, SourceRange Range);
bool CheckDistantExceptionSpec(QualType T);
bool CheckEquivalentExceptionSpec(FunctionDecl *Old, FunctionDecl *New);
bool CheckEquivalentExceptionSpec(
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool CheckEquivalentExceptionSpec(
const PartialDiagnostic &DiagID, const PartialDiagnostic & NoteID,
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool handlerCanCatch(QualType HandlerType, QualType ExceptionType);
bool CheckExceptionSpecSubset(const PartialDiagnostic &DiagID,
const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const PartialDiagnostic &NoThrowDiagID,
const FunctionProtoType *Superset,
SourceLocation SuperLoc,
const FunctionProtoType *Subset,
SourceLocation SubLoc);
bool CheckParamExceptionSpec(const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const FunctionProtoType *Target,
SourceLocation TargetLoc,
const FunctionProtoType *Source,
SourceLocation SourceLoc);
TypeResult ActOnTypeName(Scope *S, Declarator &D);
/// The parser has parsed the context-sensitive type 'instancetype'
/// in an Objective-C message declaration. Return the appropriate type.
ParsedType ActOnObjCInstanceType(SourceLocation Loc);
/// Abstract class used to diagnose incomplete types.
struct TypeDiagnoser {
TypeDiagnoser() {}
virtual void diagnose(Sema &S, SourceLocation Loc, QualType T) = 0;
virtual ~TypeDiagnoser() {}
};
static int getPrintable(int I) { return I; }
static unsigned getPrintable(unsigned I) { return I; }
static bool getPrintable(bool B) { return B; }
static const char * getPrintable(const char *S) { return S; }
static StringRef getPrintable(StringRef S) { return S; }
static const std::string &getPrintable(const std::string &S) { return S; }
static const IdentifierInfo *getPrintable(const IdentifierInfo *II) {
return II;
}
static DeclarationName getPrintable(DeclarationName N) { return N; }
static QualType getPrintable(QualType T) { return T; }
static SourceRange getPrintable(SourceRange R) { return R; }
static SourceRange getPrintable(SourceLocation L) { return L; }
static SourceRange getPrintable(const Expr *E) { return E->getSourceRange(); }
static SourceRange getPrintable(TypeLoc TL) { return TL.getSourceRange();}
template <typename... Ts> class BoundTypeDiagnoser : public TypeDiagnoser {
unsigned DiagID;
std::tuple<const Ts &...> Args;
template <std::size_t... Is>
void emit(const SemaDiagnosticBuilder &DB,
std::index_sequence<Is...>) const {
// Apply all tuple elements to the builder in order.
bool Dummy[] = {false, (DB << getPrintable(std::get<Is>(Args)))...};
(void)Dummy;
}
public:
BoundTypeDiagnoser(unsigned DiagID, const Ts &...Args)
: TypeDiagnoser(), DiagID(DiagID), Args(Args...) {
assert(DiagID != 0 && "no diagnostic for type diagnoser");
}
void diagnose(Sema &S, SourceLocation Loc, QualType T) override {
const SemaDiagnosticBuilder &DB = S.Diag(Loc, DiagID);
emit(DB, std::index_sequence_for<Ts...>());
DB << T;
}
};
/// Do a check to make sure \p Name looks like a legal swift_name
/// attribute for the decl \p D. Raise a diagnostic if the name is invalid
/// for the given declaration.
///
/// For a function, this will validate a compound Swift name,
/// e.g. <code>init(foo:bar:baz:)</code> or <code>controllerForName(_:)</code>,
/// and the function will output the number of parameter names, and whether
/// this is a single-arg initializer.
///
/// For a type, enum constant, property, or variable declaration, this will
/// validate either a simple identifier, or a qualified
/// <code>context.identifier</code> name.
///
/// \returns true if the name is a valid swift name for \p D, false otherwise.
bool DiagnoseSwiftName(Decl *D, StringRef Name,
SourceLocation ArgLoc,
const IdentifierInfo *AttrName);
private:
/// Methods for marking which expressions involve dereferencing a pointer
/// marked with the 'noderef' attribute. Expressions are checked bottom up as
/// they are parsed, meaning that a noderef pointer may not be accessed. For
/// example, in `&*p` where `p` is a noderef pointer, we will first parse the
/// `*p`, but need to check that `address of` is called on it. This requires
/// keeping a container of all pending expressions and checking if the address
/// of them are eventually taken.
void CheckSubscriptAccessOfNoDeref(const ArraySubscriptExpr *E);
void CheckAddressOfNoDeref(const Expr *E);
void CheckMemberAccessOfNoDeref(const MemberExpr *E);
bool RequireCompleteTypeImpl(SourceLocation Loc, QualType T,
TypeDiagnoser *Diagnoser);
struct ModuleScope {
SourceLocation BeginLoc;
clang::Module *Module = nullptr;
bool ModuleInterface = false;
bool ImplicitGlobalModuleFragment = false;
VisibleModuleSet OuterVisibleModules;
};
/// The modules we're currently parsing.
llvm::SmallVector<ModuleScope, 16> ModuleScopes;
/// Namespace definitions that we will export when they finish.
llvm::SmallPtrSet<const NamespaceDecl*, 8> DeferredExportedNamespaces;
/// Get the module whose scope we are currently within.
Module *getCurrentModule() const {
return ModuleScopes.empty() ? nullptr : ModuleScopes.back().Module;
}
VisibleModuleSet VisibleModules;
public:
/// Get the module owning an entity.
Module *getOwningModule(Decl *Entity) { return Entity->getOwningModule(); }
/// Make a merged definition of an existing hidden definition \p ND
/// visible at the specified location.
void makeMergedDefinitionVisible(NamedDecl *ND);
bool isModuleVisible(const Module *M, bool ModulePrivate = false);
/// Determine whether a declaration is visible to name lookup.
bool isVisible(const NamedDecl *D) {
return !D->isHidden() || isVisibleSlow(D);
}
/// Determine whether any declaration of an entity is visible.
bool
hasVisibleDeclaration(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr) {
return isVisible(D) || hasVisibleDeclarationSlow(D, Modules);
}
bool hasVisibleDeclarationSlow(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules);
bool hasVisibleMergedDefinition(NamedDecl *Def);
bool hasMergedDefinitionInCurrentModule(NamedDecl *Def);
/// Determine if \p D and \p Suggested have a structurally compatible
/// layout as described in C11 6.2.7/1.
bool hasStructuralCompatLayout(Decl *D, Decl *Suggested);
/// Determine if \p D has a visible definition. If not, suggest a declaration
/// that should be made visible to expose the definition.
bool hasVisibleDefinition(NamedDecl *D, NamedDecl **Suggested,
bool OnlyNeedComplete = false);
bool hasVisibleDefinition(const NamedDecl *D) {
NamedDecl *Hidden;
return hasVisibleDefinition(const_cast<NamedDecl*>(D), &Hidden);
}
/// Determine if the template parameter \p D has a visible default argument.
bool
hasVisibleDefaultArgument(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if there is a visible declaration of \p D that is an explicit
/// specialization declaration for a specialization of a template. (For a
/// member specialization, use hasVisibleMemberSpecialization.)
bool hasVisibleExplicitSpecialization(
const NamedDecl *D, llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if there is a visible declaration of \p D that is a member
/// specialization declaration (as opposed to an instantiated declaration).
bool hasVisibleMemberSpecialization(
const NamedDecl *D, llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if \p A and \p B are equivalent internal linkage declarations
/// from different modules, and thus an ambiguity error can be downgraded to
/// an extension warning.
bool isEquivalentInternalLinkageDeclaration(const NamedDecl *A,
const NamedDecl *B);
void diagnoseEquivalentInternalLinkageDeclarations(
SourceLocation Loc, const NamedDecl *D,
ArrayRef<const NamedDecl *> Equiv);
bool isUsualDeallocationFunction(const CXXMethodDecl *FD);
bool isCompleteType(SourceLocation Loc, QualType T) {
return !RequireCompleteTypeImpl(Loc, T, nullptr);
}
bool RequireCompleteType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireCompleteType(SourceLocation Loc, QualType T,
unsigned DiagID);
template <typename... Ts>
bool RequireCompleteType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteType(Loc, T, Diagnoser);
}
void completeExprArrayBound(Expr *E);
bool RequireCompleteExprType(Expr *E, TypeDiagnoser &Diagnoser);
bool RequireCompleteExprType(Expr *E, unsigned DiagID);
template <typename... Ts>
bool RequireCompleteExprType(Expr *E, unsigned DiagID, const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteExprType(E, Diagnoser);
}
bool RequireLiteralType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID);
template <typename... Ts>
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireLiteralType(Loc, T, Diagnoser);
}
QualType getElaboratedType(ElaboratedTypeKeyword Keyword,
const CXXScopeSpec &SS, QualType T,
TagDecl *OwnedTagDecl = nullptr);
QualType BuildTypeofExprType(Expr *E, SourceLocation Loc);
/// If AsUnevaluated is false, E is treated as though it were an evaluated
/// context, such as when building a type for decltype(auto).
QualType BuildDecltypeType(Expr *E, SourceLocation Loc,
bool AsUnevaluated = true);
QualType BuildUnaryTransformType(QualType BaseType,
UnaryTransformType::UTTKind UKind,
SourceLocation Loc);
//===--------------------------------------------------------------------===//
// Symbol table / Decl tracking callbacks: SemaDecl.cpp.
//
struct SkipBodyInfo {
SkipBodyInfo()
: ShouldSkip(false), CheckSameAsPrevious(false), Previous(nullptr),
New(nullptr) {}
bool ShouldSkip;
bool CheckSameAsPrevious;
NamedDecl *Previous;
NamedDecl *New;
};
DeclGroupPtrTy ConvertDeclToDeclGroup(Decl *Ptr, Decl *OwnedType = nullptr);
void DiagnoseUseOfUnimplementedSelectors();
bool isSimpleTypeSpecifier(tok::TokenKind Kind) const;
ParsedType getTypeName(const IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec *SS = nullptr,
bool isClassName = false, bool HasTrailingDot = false,
ParsedType ObjectType = nullptr,
bool IsCtorOrDtorName = false,
bool WantNontrivialTypeSourceInfo = false,
bool IsClassTemplateDeductionContext = true,
IdentifierInfo **CorrectedII = nullptr);
TypeSpecifierType isTagName(IdentifierInfo &II, Scope *S);
bool isMicrosoftMissingTypename(const CXXScopeSpec *SS, Scope *S);
void DiagnoseUnknownTypeName(IdentifierInfo *&II,
SourceLocation IILoc,
Scope *S,
CXXScopeSpec *SS,
ParsedType &SuggestedType,
bool IsTemplateName = false);
/// Attempt to behave like MSVC in situations where lookup of an unqualified
/// type name has failed in a dependent context. In these situations, we
/// automatically form a DependentTypeName that will retry lookup in a related
/// scope during instantiation.
ParsedType ActOnMSVCUnknownTypeName(const IdentifierInfo &II,
SourceLocation NameLoc,
bool IsTemplateTypeArg);
/// Describes the result of the name lookup and resolution performed
/// by \c ClassifyName().
enum NameClassificationKind {
/// This name is not a type or template in this context, but might be
/// something else.
NC_Unknown,
/// Classification failed; an error has been produced.
NC_Error,
/// The name has been typo-corrected to a keyword.
NC_Keyword,
/// The name was classified as a type.
NC_Type,
/// The name was classified as a specific non-type, non-template
/// declaration. ActOnNameClassifiedAsNonType should be called to
/// convert the declaration to an expression.
NC_NonType,
/// The name was classified as an ADL-only function name.
/// ActOnNameClassifiedAsUndeclaredNonType should be called to convert the
/// result to an expression.
NC_UndeclaredNonType,
/// The name denotes a member of a dependent type that could not be
/// resolved. ActOnNameClassifiedAsDependentNonType should be called to
/// convert the result to an expression.
NC_DependentNonType,
/// The name was classified as a non-type, and an expression representing
/// that name has been formed.
NC_ContextIndependentExpr,
/// The name was classified as a template whose specializations are types.
NC_TypeTemplate,
/// The name was classified as a variable template name.
NC_VarTemplate,
/// The name was classified as a function template name.
NC_FunctionTemplate,
/// The name was classified as an ADL-only function template name.
NC_UndeclaredTemplate,
};
class NameClassification {
NameClassificationKind Kind;
union {
ExprResult Expr;
NamedDecl *NonTypeDecl;
TemplateName Template;
ParsedType Type;
};
explicit NameClassification(NameClassificationKind Kind) : Kind(Kind) {}
public:
NameClassification(ParsedType Type) : Kind(NC_Type), Type(Type) {}
NameClassification(const IdentifierInfo *Keyword) : Kind(NC_Keyword) {}
static NameClassification Error() {
return NameClassification(NC_Error);
}
static NameClassification Unknown() {
return NameClassification(NC_Unknown);
}
static NameClassification ContextIndependentExpr(ExprResult E) {
NameClassification Result(NC_ContextIndependentExpr);
Result.Expr = E;
return Result;
}
static NameClassification NonType(NamedDecl *D) {
NameClassification Result(NC_NonType);
Result.NonTypeDecl = D;
return Result;
}
static NameClassification UndeclaredNonType() {
return NameClassification(NC_UndeclaredNonType);
}
static NameClassification DependentNonType() {
return NameClassification(NC_DependentNonType);
}
static NameClassification TypeTemplate(TemplateName Name) {
NameClassification Result(NC_TypeTemplate);
Result.Template = Name;
return Result;
}
static NameClassification VarTemplate(TemplateName Name) {
NameClassification Result(NC_VarTemplate);
Result.Template = Name;
return Result;
}
static NameClassification FunctionTemplate(TemplateName Name) {
NameClassification Result(NC_FunctionTemplate);
Result.Template = Name;
return Result;
}
static NameClassification UndeclaredTemplate(TemplateName Name) {
NameClassification Result(NC_UndeclaredTemplate);
Result.Template = Name;
return Result;
}
NameClassificationKind getKind() const { return Kind; }
ExprResult getExpression() const {
assert(Kind == NC_ContextIndependentExpr);
return Expr;
}
ParsedType getType() const {
assert(Kind == NC_Type);
return Type;
}
NamedDecl *getNonTypeDecl() const {
assert(Kind == NC_NonType);
return NonTypeDecl;
}
TemplateName getTemplateName() const {
assert(Kind == NC_TypeTemplate || Kind == NC_FunctionTemplate ||
Kind == NC_VarTemplate || Kind == NC_UndeclaredTemplate);
return Template;
}
TemplateNameKind getTemplateNameKind() const {
switch (Kind) {
case NC_TypeTemplate:
return TNK_Type_template;
case NC_FunctionTemplate:
return TNK_Function_template;
case NC_VarTemplate:
return TNK_Var_template;
case NC_UndeclaredTemplate:
return TNK_Undeclared_template;
default:
llvm_unreachable("unsupported name classification.");
}
}
};
/// Perform name lookup on the given name, classifying it based on
/// the results of name lookup and the following token.
///
/// This routine is used by the parser to resolve identifiers and help direct
/// parsing. When the identifier cannot be found, this routine will attempt
/// to correct the typo and classify based on the resulting name.
///
/// \param S The scope in which we're performing name lookup.
///
/// \param SS The nested-name-specifier that precedes the name.
///
/// \param Name The identifier. If typo correction finds an alternative name,
/// this pointer parameter will be updated accordingly.
///
/// \param NameLoc The location of the identifier.
///
/// \param NextToken The token following the identifier. Used to help
/// disambiguate the name.
///
/// \param CCC The correction callback, if typo correction is desired.
NameClassification ClassifyName(Scope *S, CXXScopeSpec &SS,
IdentifierInfo *&Name, SourceLocation NameLoc,
const Token &NextToken,
CorrectionCandidateCallback *CCC = nullptr);
/// Act on the result of classifying a name as an undeclared (ADL-only)
/// non-type declaration.
ExprResult ActOnNameClassifiedAsUndeclaredNonType(IdentifierInfo *Name,
SourceLocation NameLoc);
/// Act on the result of classifying a name as an undeclared member of a
/// dependent base class.
ExprResult ActOnNameClassifiedAsDependentNonType(const CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool IsAddressOfOperand);
/// Act on the result of classifying a name as a specific non-type
/// declaration.
ExprResult ActOnNameClassifiedAsNonType(Scope *S, const CXXScopeSpec &SS,
NamedDecl *Found,
SourceLocation NameLoc,
const Token &NextToken);
/// Describes the detailed kind of a template name. Used in diagnostics.
enum class TemplateNameKindForDiagnostics {
ClassTemplate,
FunctionTemplate,
VarTemplate,
AliasTemplate,
TemplateTemplateParam,
Concept,
DependentTemplate
};
TemplateNameKindForDiagnostics
getTemplateNameKindForDiagnostics(TemplateName Name);
/// Determine whether it's plausible that E was intended to be a
/// template-name.
bool mightBeIntendedToBeTemplateName(ExprResult E, bool &Dependent) {
if (!getLangOpts().CPlusPlus || E.isInvalid())
return false;
Dependent = false;
if (auto *DRE = dyn_cast<DeclRefExpr>(E.get()))
return !DRE->hasExplicitTemplateArgs();
if (auto *ME = dyn_cast<MemberExpr>(E.get()))
return !ME->hasExplicitTemplateArgs();
Dependent = true;
if (auto *DSDRE = dyn_cast<DependentScopeDeclRefExpr>(E.get()))
return !DSDRE->hasExplicitTemplateArgs();
if (auto *DSME = dyn_cast<CXXDependentScopeMemberExpr>(E.get()))
return !DSME->hasExplicitTemplateArgs();
// Any additional cases recognized here should also be handled by
// diagnoseExprIntendedAsTemplateName.
return false;
}
void diagnoseExprIntendedAsTemplateName(Scope *S, ExprResult TemplateName,
SourceLocation Less,
SourceLocation Greater);
Decl *ActOnDeclarator(Scope *S, Declarator &D);
NamedDecl *HandleDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParameterLists);
void RegisterLocallyScopedExternCDecl(NamedDecl *ND, Scope *S);
bool DiagnoseClassNameShadow(DeclContext *DC, DeclarationNameInfo Info);
bool diagnoseQualifiedDeclaration(CXXScopeSpec &SS, DeclContext *DC,
DeclarationName Name, SourceLocation Loc,
bool IsTemplateId);
void
diagnoseIgnoredQualifiers(unsigned DiagID, unsigned Quals,
SourceLocation FallbackLoc,
SourceLocation ConstQualLoc = SourceLocation(),
SourceLocation VolatileQualLoc = SourceLocation(),
SourceLocation RestrictQualLoc = SourceLocation(),
SourceLocation AtomicQualLoc = SourceLocation(),
SourceLocation UnalignedQualLoc = SourceLocation());
void diagnosePointerAuthDisabled(SourceLocation loc, SourceRange range);
bool checkConstantPointerAuthKey(Expr *keyExpr, unsigned &key);
static bool adjustContextForLocalExternDecl(DeclContext *&DC);
void DiagnoseFunctionSpecifiers(const DeclSpec &DS);
NamedDecl *getShadowedDeclaration(const TypedefNameDecl *D,
const LookupResult &R);
NamedDecl *getShadowedDeclaration(const VarDecl *D, const LookupResult &R);
void CheckShadow(NamedDecl *D, NamedDecl *ShadowedDecl,
const LookupResult &R);
void CheckShadow(Scope *S, VarDecl *D);
/// Warn if 'E', which is an expression that is about to be modified, refers
/// to a shadowing declaration.
void CheckShadowingDeclModification(Expr *E, SourceLocation Loc);
void DiagnoseShadowingLambdaDecls(const sema::LambdaScopeInfo *LSI);
private:
/// Map of current shadowing declarations to shadowed declarations. Warn if
/// it looks like the user is trying to modify the shadowing declaration.
llvm::DenseMap<const NamedDecl *, const NamedDecl *> ShadowingDecls;
public:
void CheckCastAlign(Expr *Op, QualType T, SourceRange TRange);
void handleTagNumbering(const TagDecl *Tag, Scope *TagScope);
void setTagNameForLinkagePurposes(TagDecl *TagFromDeclSpec,
TypedefNameDecl *NewTD);
void CheckTypedefForVariablyModifiedType(Scope *S, TypedefNameDecl *D);
NamedDecl* ActOnTypedefDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous);
NamedDecl* ActOnTypedefNameDecl(Scope* S, DeclContext* DC, TypedefNameDecl *D,
LookupResult &Previous, bool &Redeclaration);
NamedDecl *ActOnVariableDeclarator(Scope *S, Declarator &D, DeclContext *DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope,
ArrayRef<BindingDecl *> Bindings = None);
NamedDecl *
ActOnDecompositionDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists);
// Returns true if the variable declaration is a redeclaration
bool CheckVariableDeclaration(VarDecl *NewVD, LookupResult &Previous);
void CheckVariableDeclarationType(VarDecl *NewVD);
bool DeduceVariableDeclarationType(VarDecl *VDecl, bool DirectInit,
Expr *Init);
void CheckCompleteVariableDeclaration(VarDecl *VD);
void CheckCompleteDecompositionDeclaration(DecompositionDecl *DD);
void MaybeSuggestAddingStaticToDecl(const FunctionDecl *D);
NamedDecl* ActOnFunctionDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope);
bool AddOverriddenMethods(CXXRecordDecl *DC, CXXMethodDecl *MD);
enum class CheckConstexprKind {
/// Diagnose issues that are non-constant or that are extensions.
Diagnose,
/// Identify whether this function satisfies the formal rules for constexpr
/// functions in the current lanugage mode (with no extensions).
CheckValid
};
bool CheckConstexprFunctionDefinition(const FunctionDecl *FD,
CheckConstexprKind Kind);
void DiagnoseHiddenVirtualMethods(CXXMethodDecl *MD);
void FindHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
void NoteHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
// Returns true if the function declaration is a redeclaration
bool CheckFunctionDeclaration(Scope *S,
FunctionDecl *NewFD, LookupResult &Previous,
bool IsMemberSpecialization);
bool shouldLinkDependentDeclWithPrevious(Decl *D, Decl *OldDecl);
bool canFullyTypeCheckRedeclaration(ValueDecl *NewD, ValueDecl *OldD,
QualType NewT, QualType OldT);
void CheckMain(FunctionDecl *FD, const DeclSpec &D);
void CheckMSVCRTEntryPoint(FunctionDecl *FD);
Attr *getImplicitCodeSegOrSectionAttrForFunction(const FunctionDecl *FD,
bool IsDefinition);
void CheckFunctionOrTemplateParamDeclarator(Scope *S, Declarator &D);
Decl *ActOnParamDeclarator(Scope *S, Declarator &D);
ParmVarDecl *BuildParmVarDeclForTypedef(DeclContext *DC,
SourceLocation Loc,
QualType T);
QualType adjustParameterTypeForObjCAutoRefCount(QualType T,
SourceLocation NameLoc,
TypeSourceInfo *TSInfo);
ParmVarDecl *CheckParameter(DeclContext *DC, SourceLocation StartLoc,
SourceLocation NameLoc, IdentifierInfo *Name,
QualType T, TypeSourceInfo *TSInfo,
StorageClass SC);
void ActOnParamDefaultArgument(Decl *param,
SourceLocation EqualLoc,
Expr *defarg);
void ActOnParamUnparsedDefaultArgument(Decl *param,
SourceLocation EqualLoc,
SourceLocation ArgLoc);
void ActOnParamDefaultArgumentError(Decl *param, SourceLocation EqualLoc);
bool SetParamDefaultArgument(ParmVarDecl *Param, Expr *DefaultArg,
SourceLocation EqualLoc);
// Contexts where using non-trivial C union types can be disallowed. This is
// passed to err_non_trivial_c_union_in_invalid_context.
enum NonTrivialCUnionContext {
// Function parameter.
NTCUC_FunctionParam,
// Function return.
NTCUC_FunctionReturn,
// Default-initialized object.
NTCUC_DefaultInitializedObject,
// Variable with automatic storage duration.
NTCUC_AutoVar,
// Initializer expression that might copy from another object.
NTCUC_CopyInit,
// Assignment.
NTCUC_Assignment,
// Compound literal.
NTCUC_CompoundLiteral,
// Block capture.
NTCUC_BlockCapture,
// lvalue-to-rvalue conversion of volatile type.
NTCUC_LValueToRValueVolatile,
};
/// Emit diagnostics if the initializer or any of its explicit or
/// implicitly-generated subexpressions require copying or
/// default-initializing a type that is or contains a C union type that is
/// non-trivial to copy or default-initialize.
void checkNonTrivialCUnionInInitializer(const Expr *Init, SourceLocation Loc);
// These flags are passed to checkNonTrivialCUnion.
enum NonTrivialCUnionKind {
NTCUK_Init = 0x1,
NTCUK_Destruct = 0x2,
NTCUK_Copy = 0x4,
};
/// Emit diagnostics if a non-trivial C union type or a struct that contains
/// a non-trivial C union is used in an invalid context.
void checkNonTrivialCUnion(QualType QT, SourceLocation Loc,
NonTrivialCUnionContext UseContext,
unsigned NonTrivialKind);
void AddInitializerToDecl(Decl *dcl, Expr *init, bool DirectInit);
void ActOnUninitializedDecl(Decl *dcl);
void ActOnInitializerError(Decl *Dcl);
void ActOnPureSpecifier(Decl *D, SourceLocation PureSpecLoc);
void ActOnCXXForRangeDecl(Decl *D);
StmtResult ActOnCXXForRangeIdentifier(Scope *S, SourceLocation IdentLoc,
IdentifierInfo *Ident,
ParsedAttributes &Attrs,
SourceLocation AttrEnd);
void SetDeclDeleted(Decl *dcl, SourceLocation DelLoc);
void SetDeclDefaulted(Decl *dcl, SourceLocation DefaultLoc);
void CheckStaticLocalForDllExport(VarDecl *VD);
void FinalizeDeclaration(Decl *D);
DeclGroupPtrTy FinalizeDeclaratorGroup(Scope *S, const DeclSpec &DS,
ArrayRef<Decl *> Group);
DeclGroupPtrTy BuildDeclaratorGroup(MutableArrayRef<Decl *> Group);
/// Should be called on all declarations that might have attached
/// documentation comments.
void ActOnDocumentableDecl(Decl *D);
void ActOnDocumentableDecls(ArrayRef<Decl *> Group);
void ActOnFinishKNRParamDeclarations(Scope *S, Declarator &D,
SourceLocation LocAfterDecls);
void CheckForFunctionRedefinition(
FunctionDecl *FD, const FunctionDecl *EffectiveDefinition = nullptr,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Decl *D,
SkipBodyInfo *SkipBody = nullptr);
void ActOnStartOfObjCMethodDef(Scope *S, Decl *D);
bool isObjCMethodDecl(Decl *D) {
return D && isa<ObjCMethodDecl>(D);
}
/// Determine whether we can delay parsing the body of a function or
/// function template until it is used, assuming we don't care about emitting
/// code for that function.
///
/// This will be \c false if we may need the body of the function in the
/// middle of parsing an expression (where it's impractical to switch to
/// parsing a different function), for instance, if it's constexpr in C++11
/// or has an 'auto' return type in C++14. These cases are essentially bugs.
bool canDelayFunctionBody(const Declarator &D);
/// Determine whether we can skip parsing the body of a function
/// definition, assuming we don't care about analyzing its body or emitting
/// code for that function.
///
/// This will be \c false only if we may need the body of the function in
/// order to parse the rest of the program (for instance, if it is
/// \c constexpr in C++11 or has an 'auto' return type in C++14).
bool canSkipFunctionBody(Decl *D);
void computeNRVO(Stmt *Body, sema::FunctionScopeInfo *Scope);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body, bool IsInstantiation);
Decl *ActOnSkippedFunctionBody(Decl *Decl);
void ActOnFinishInlineFunctionDef(FunctionDecl *D);
/// ActOnFinishDelayedAttribute - Invoked when we have finished parsing an
/// attribute for which parsing is delayed.
void ActOnFinishDelayedAttribute(Scope *S, Decl *D, ParsedAttributes &Attrs);
/// Diagnose any unused parameters in the given sequence of
/// ParmVarDecl pointers.
void DiagnoseUnusedParameters(ArrayRef<ParmVarDecl *> Parameters);
/// Diagnose whether the size of parameters or return value of a
/// function or obj-c method definition is pass-by-value and larger than a
/// specified threshold.
void
DiagnoseSizeOfParametersAndReturnValue(ArrayRef<ParmVarDecl *> Parameters,
QualType ReturnTy, NamedDecl *D);
void DiagnoseInvalidJumps(Stmt *Body);
Decl *ActOnFileScopeAsmDecl(Expr *expr,
SourceLocation AsmLoc,
SourceLocation RParenLoc);
/// Handle a C++11 empty-declaration and attribute-declaration.
Decl *ActOnEmptyDeclaration(Scope *S, const ParsedAttributesView &AttrList,
SourceLocation SemiLoc);
enum class ModuleDeclKind {
Interface, ///< 'export module X;'
Implementation, ///< 'module X;'
};
/// The parser has processed a module-declaration that begins the definition
/// of a module interface or implementation.
DeclGroupPtrTy ActOnModuleDecl(SourceLocation StartLoc,
SourceLocation ModuleLoc, ModuleDeclKind MDK,
ModuleIdPath Path, bool IsFirstDecl);
/// The parser has processed a global-module-fragment declaration that begins
/// the definition of the global module fragment of the current module unit.
/// \param ModuleLoc The location of the 'module' keyword.
DeclGroupPtrTy ActOnGlobalModuleFragmentDecl(SourceLocation ModuleLoc);
/// The parser has processed a private-module-fragment declaration that begins
/// the definition of the private module fragment of the current module unit.
/// \param ModuleLoc The location of the 'module' keyword.
/// \param PrivateLoc The location of the 'private' keyword.
DeclGroupPtrTy ActOnPrivateModuleFragmentDecl(SourceLocation ModuleLoc,
SourceLocation PrivateLoc);
/// The parser has processed a module import declaration.
///
/// \param StartLoc The location of the first token in the declaration. This
/// could be the location of an '@', 'export', or 'import'.
/// \param ExportLoc The location of the 'export' keyword, if any.
/// \param ImportLoc The location of the 'import' keyword.
/// \param Path The module access path.
DeclResult ActOnModuleImport(SourceLocation StartLoc,
SourceLocation ExportLoc,
SourceLocation ImportLoc, ModuleIdPath Path);
DeclResult ActOnModuleImport(SourceLocation StartLoc,
SourceLocation ExportLoc,
SourceLocation ImportLoc, Module *M,
ModuleIdPath Path = {});
/// The parser has processed a module import translated from a
/// #include or similar preprocessing directive.
void ActOnModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
void BuildModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
/// The parsed has entered a submodule.
void ActOnModuleBegin(SourceLocation DirectiveLoc, Module *Mod);
/// The parser has left a submodule.
void ActOnModuleEnd(SourceLocation DirectiveLoc, Module *Mod);
/// Create an implicit import of the given module at the given
/// source location, for error recovery, if possible.
///
/// This routine is typically used when an entity found by name lookup
/// is actually hidden within a module that we know about but the user
/// has forgotten to import.
void createImplicitModuleImportForErrorRecovery(SourceLocation Loc,
Module *Mod);
/// Kinds of missing import. Note, the values of these enumerators correspond
/// to %select values in diagnostics.
enum class MissingImportKind {
Declaration,
Definition,
DefaultArgument,
ExplicitSpecialization,
PartialSpecialization
};
/// Diagnose that the specified declaration needs to be visible but
/// isn't, and suggest a module import that would resolve the problem.
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
MissingImportKind MIK, bool Recover = true);
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
SourceLocation DeclLoc, ArrayRef<Module *> Modules,
MissingImportKind MIK, bool Recover);
Decl *ActOnStartExportDecl(Scope *S, SourceLocation ExportLoc,
SourceLocation LBraceLoc);
Decl *ActOnFinishExportDecl(Scope *S, Decl *ExportDecl,
SourceLocation RBraceLoc);
/// We've found a use of a templated declaration that would trigger an
/// implicit instantiation. Check that any relevant explicit specializations
/// and partial specializations are visible, and diagnose if not.
void checkSpecializationVisibility(SourceLocation Loc, NamedDecl *Spec);
/// We've found a use of a template specialization that would select a
/// partial specialization. Check that the partial specialization is visible,
/// and diagnose if not.
void checkPartialSpecializationVisibility(SourceLocation Loc,
NamedDecl *Spec);
/// Retrieve a suitable printing policy for diagnostics.
PrintingPolicy getPrintingPolicy() const {
return getPrintingPolicy(Context, PP);
}
/// Retrieve a suitable printing policy for diagnostics.
static PrintingPolicy getPrintingPolicy(const ASTContext &Ctx,
const Preprocessor &PP);
/// Scope actions.
void ActOnPopScope(SourceLocation Loc, Scope *S);
void ActOnTranslationUnitScope(Scope *S);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
RecordDecl *&AnonRecord);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
MultiTemplateParamsArg TemplateParams,
bool IsExplicitInstantiation,
RecordDecl *&AnonRecord);
Decl *BuildAnonymousStructOrUnion(Scope *S, DeclSpec &DS,
AccessSpecifier AS,
RecordDecl *Record,
const PrintingPolicy &Policy);
Decl *BuildMicrosoftCAnonymousStruct(Scope *S, DeclSpec &DS,
RecordDecl *Record);
/// Common ways to introduce type names without a tag for use in diagnostics.
/// Keep in sync with err_tag_reference_non_tag.
enum NonTagKind {
NTK_NonStruct,
NTK_NonClass,
NTK_NonUnion,
NTK_NonEnum,
NTK_Typedef,
NTK_TypeAlias,
NTK_Template,
NTK_TypeAliasTemplate,
NTK_TemplateTemplateArgument,
};
/// Given a non-tag type declaration, returns an enum useful for indicating
/// what kind of non-tag type this is.
NonTagKind getNonTagTypeDeclKind(const Decl *D, TagTypeKind TTK);
bool isAcceptableTagRedeclaration(const TagDecl *Previous,
TagTypeKind NewTag, bool isDefinition,
SourceLocation NewTagLoc,
const IdentifierInfo *Name);
enum TagUseKind {
TUK_Reference, // Reference to a tag: 'struct foo *X;'
TUK_Declaration, // Fwd decl of a tag: 'struct foo;'
TUK_Definition, // Definition of a tag: 'struct foo { int X; } Y;'
TUK_Friend // Friend declaration: 'friend struct foo;'
};
Decl *ActOnTag(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc, CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc, const ParsedAttributesView &Attr,
AccessSpecifier AS, SourceLocation ModulePrivateLoc,
MultiTemplateParamsArg TemplateParameterLists, bool &OwnedDecl,
bool &IsDependent, SourceLocation ScopedEnumKWLoc,
bool ScopedEnumUsesClassTag, TypeResult UnderlyingType,
bool IsTypeSpecifier, bool IsTemplateParamOrArg,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnTemplatedFriendTag(Scope *S, SourceLocation FriendLoc,
unsigned TagSpec, SourceLocation TagLoc,
CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc,
const ParsedAttributesView &Attr,
MultiTemplateParamsArg TempParamLists);
TypeResult ActOnDependentTag(Scope *S,
unsigned TagSpec,
TagUseKind TUK,
const CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation TagLoc,
SourceLocation NameLoc);
void ActOnDefs(Scope *S, Decl *TagD, SourceLocation DeclStart,
IdentifierInfo *ClassName,
SmallVectorImpl<Decl *> &Decls);
Decl *ActOnField(Scope *S, Decl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth);
FieldDecl *HandleField(Scope *S, RecordDecl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS);
MSPropertyDecl *HandleMSProperty(Scope *S, RecordDecl *TagD,
SourceLocation DeclStart, Declarator &D,
Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS,
const ParsedAttr &MSPropertyAttr);
FieldDecl *CheckFieldDecl(DeclarationName Name, QualType T,
TypeSourceInfo *TInfo,
RecordDecl *Record, SourceLocation Loc,
bool Mutable, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
SourceLocation TSSL,
AccessSpecifier AS, NamedDecl *PrevDecl,
Declarator *D = nullptr);
bool CheckNontrivialField(FieldDecl *FD);
void DiagnoseNontrivial(const CXXRecordDecl *Record, CXXSpecialMember CSM);
enum TrivialABIHandling {
/// The triviality of a method unaffected by "trivial_abi".
TAH_IgnoreTrivialABI,
/// The triviality of a method affected by "trivial_abi".
TAH_ConsiderTrivialABI
};
bool SpecialMemberIsTrivial(CXXMethodDecl *MD, CXXSpecialMember CSM,
TrivialABIHandling TAH = TAH_IgnoreTrivialABI,
bool Diagnose = false);
/// For a defaulted function, the kind of defaulted function that it is.
class DefaultedFunctionKind {
CXXSpecialMember SpecialMember : 8;
DefaultedComparisonKind Comparison : 8;
public:
DefaultedFunctionKind()
: SpecialMember(CXXInvalid), Comparison(DefaultedComparisonKind::None) {
}
DefaultedFunctionKind(CXXSpecialMember CSM)
: SpecialMember(CSM), Comparison(DefaultedComparisonKind::None) {}
DefaultedFunctionKind(DefaultedComparisonKind Comp)
: SpecialMember(CXXInvalid), Comparison(Comp) {}
bool isSpecialMember() const { return SpecialMember != CXXInvalid; }
bool isComparison() const {
return Comparison != DefaultedComparisonKind::None;
}
explicit operator bool() const {
return isSpecialMember() || isComparison();
}
CXXSpecialMember asSpecialMember() const { return SpecialMember; }
DefaultedComparisonKind asComparison() const { return Comparison; }
/// Get the index of this function kind for use in diagnostics.
unsigned getDiagnosticIndex() const {
static_assert(CXXInvalid > CXXDestructor,
"invalid should have highest index");
static_assert((unsigned)DefaultedComparisonKind::None == 0,
"none should be equal to zero");
return SpecialMember + (unsigned)Comparison;
}
};
DefaultedFunctionKind getDefaultedFunctionKind(const FunctionDecl *FD);
CXXSpecialMember getSpecialMember(const CXXMethodDecl *MD) {
return getDefaultedFunctionKind(MD).asSpecialMember();
}
DefaultedComparisonKind getDefaultedComparisonKind(const FunctionDecl *FD) {
return getDefaultedFunctionKind(FD).asComparison();
}
void ActOnLastBitfield(SourceLocation DeclStart,
SmallVectorImpl<Decl *> &AllIvarDecls);
Decl *ActOnIvar(Scope *S, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
tok::ObjCKeywordKind visibility);
// This is used for both record definitions and ObjC interface declarations.
void ActOnFields(Scope *S, SourceLocation RecLoc, Decl *TagDecl,
ArrayRef<Decl *> Fields, SourceLocation LBrac,
SourceLocation RBrac, const ParsedAttributesView &AttrList);
/// ActOnTagStartDefinition - Invoked when we have entered the
/// scope of a tag's definition (e.g., for an enumeration, class,
/// struct, or union).
void ActOnTagStartDefinition(Scope *S, Decl *TagDecl);
/// Perform ODR-like check for C/ObjC when merging tag types from modules.
/// Differently from C++, actually parse the body and reject / error out
/// in case of a structural mismatch.
bool ActOnDuplicateDefinition(DeclSpec &DS, Decl *Prev,
SkipBodyInfo &SkipBody);
typedef void *SkippedDefinitionContext;
/// Invoked when we enter a tag definition that we're skipping.
SkippedDefinitionContext ActOnTagStartSkippedDefinition(Scope *S, Decl *TD);
Decl *ActOnObjCContainerStartDefinition(Decl *IDecl);
/// ActOnStartCXXMemberDeclarations - Invoked when we have parsed a
/// C++ record definition's base-specifiers clause and are starting its
/// member declarations.
void ActOnStartCXXMemberDeclarations(Scope *S, Decl *TagDecl,
SourceLocation FinalLoc,
bool IsFinalSpelledSealed,
SourceLocation LBraceLoc);
/// ActOnTagFinishDefinition - Invoked once we have finished parsing
/// the definition of a tag (enumeration, class, struct, or union).
void ActOnTagFinishDefinition(Scope *S, Decl *TagDecl,
SourceRange BraceRange);
void ActOnTagFinishSkippedDefinition(SkippedDefinitionContext Context);
void ActOnObjCContainerFinishDefinition();
/// Invoked when we must temporarily exit the objective-c container
/// scope for parsing/looking-up C constructs.
///
/// Must be followed by a call to \see ActOnObjCReenterContainerContext
void ActOnObjCTemporaryExitContainerContext(DeclContext *DC);
void ActOnObjCReenterContainerContext(DeclContext *DC);
/// ActOnTagDefinitionError - Invoked when there was an unrecoverable
/// error parsing the definition of a tag.
void ActOnTagDefinitionError(Scope *S, Decl *TagDecl);
EnumConstantDecl *CheckEnumConstant(EnumDecl *Enum,
EnumConstantDecl *LastEnumConst,
SourceLocation IdLoc,
IdentifierInfo *Id,
Expr *val);
bool CheckEnumUnderlyingType(TypeSourceInfo *TI);
bool CheckEnumRedeclaration(SourceLocation EnumLoc, bool IsScoped,
QualType EnumUnderlyingTy, bool IsFixed,
const EnumDecl *Prev);
/// Determine whether the body of an anonymous enumeration should be skipped.
/// \param II The name of the first enumerator.
SkipBodyInfo shouldSkipAnonEnumBody(Scope *S, IdentifierInfo *II,
SourceLocation IILoc);
Decl *ActOnEnumConstant(Scope *S, Decl *EnumDecl, Decl *LastEnumConstant,
SourceLocation IdLoc, IdentifierInfo *Id,
const ParsedAttributesView &Attrs,
SourceLocation EqualLoc, Expr *Val);
void ActOnEnumBody(SourceLocation EnumLoc, SourceRange BraceRange,
Decl *EnumDecl, ArrayRef<Decl *> Elements, Scope *S,
const ParsedAttributesView &Attr);
DeclContext *getContainingDC(DeclContext *DC);
/// Set the current declaration context until it gets popped.
void PushDeclContext(Scope *S, DeclContext *DC);
void PopDeclContext();
/// EnterDeclaratorContext - Used when we must lookup names in the context
/// of a declarator's nested name specifier.
void EnterDeclaratorContext(Scope *S, DeclContext *DC);
void ExitDeclaratorContext(Scope *S);
/// Push the parameters of D, which must be a function, into scope.
void ActOnReenterFunctionContext(Scope* S, Decl* D);
void ActOnExitFunctionContext();
DeclContext *getFunctionLevelDeclContext();
/// getCurFunctionDecl - If inside of a function body, this returns a pointer
/// to the function decl for the function being parsed. If we're currently
/// in a 'block', this returns the containing context.
FunctionDecl *getCurFunctionDecl();
/// getCurMethodDecl - If inside of a method body, this returns a pointer to
/// the method decl for the method being parsed. If we're currently
/// in a 'block', this returns the containing context.
ObjCMethodDecl *getCurMethodDecl();
/// getCurFunctionOrMethodDecl - Return the Decl for the current ObjC method
/// or C function we're in, otherwise return null. If we're currently
/// in a 'block', this returns the containing context.
NamedDecl *getCurFunctionOrMethodDecl();
/// Add this decl to the scope shadowed decl chains.
void PushOnScopeChains(NamedDecl *D, Scope *S, bool AddToContext = true);
/// isDeclInScope - If 'Ctx' is a function/method, isDeclInScope returns true
/// if 'D' is in Scope 'S', otherwise 'S' is ignored and isDeclInScope returns
/// true if 'D' belongs to the given declaration context.
///
/// \param AllowInlineNamespace If \c true, allow the declaration to be in the
/// enclosing namespace set of the context, rather than contained
/// directly within it.
bool isDeclInScope(NamedDecl *D, DeclContext *Ctx, Scope *S = nullptr,
bool AllowInlineNamespace = false);
/// Finds the scope corresponding to the given decl context, if it
/// happens to be an enclosing scope. Otherwise return NULL.
static Scope *getScopeForDeclContext(Scope *S, DeclContext *DC);
/// Subroutines of ActOnDeclarator().
TypedefDecl *ParseTypedefDecl(Scope *S, Declarator &D, QualType T,
TypeSourceInfo *TInfo);
bool isIncompatibleTypedef(TypeDecl *Old, TypedefNameDecl *New);
/// Describes the kind of merge to perform for availability
/// attributes (including "deprecated", "unavailable", and "availability").
enum AvailabilityMergeKind {
/// Don't merge availability attributes at all.
AMK_None,
/// Merge availability attributes for a redeclaration, which requires
/// an exact match.
AMK_Redeclaration,
/// Merge availability attributes for an override, which requires
/// an exact match or a weakening of constraints.
AMK_Override,
/// Merge availability attributes for an implementation of
/// a protocol requirement.
AMK_ProtocolImplementation,
};
/// Describes the kind of priority given to an availability attribute.
///
/// The sum of priorities deteremines the final priority of the attribute.
/// The final priority determines how the attribute will be merged.
/// An attribute with a lower priority will always remove higher priority
/// attributes for the specified platform when it is being applied. An
/// attribute with a higher priority will not be applied if the declaration
/// already has an availability attribute with a lower priority for the
/// specified platform. The final prirority values are not expected to match
/// the values in this enumeration, but instead should be treated as a plain
/// integer value. This enumeration just names the priority weights that are
/// used to calculate that final vaue.
enum AvailabilityPriority : int {
/// The availability attribute was specified explicitly next to the
/// declaration.
AP_Explicit = 0,
/// The availability attribute was applied using '#pragma clang attribute'.
AP_PragmaClangAttribute = 1,
/// The availability attribute for a specific platform was inferred from
/// an availability attribute for another platform.
AP_InferredFromOtherPlatform = 2
};
/// Attribute merging methods. Return true if a new attribute was added.
AvailabilityAttr *
mergeAvailabilityAttr(NamedDecl *D, const AttributeCommonInfo &CI,
IdentifierInfo *Platform, bool Implicit,
VersionTuple Introduced, VersionTuple Deprecated,
VersionTuple Obsoleted, bool IsUnavailable,
StringRef Message, bool IsStrict, StringRef Replacement,
AvailabilityMergeKind AMK, int Priority);
TypeVisibilityAttr *
mergeTypeVisibilityAttr(Decl *D, const AttributeCommonInfo &CI,
TypeVisibilityAttr::VisibilityType Vis);
VisibilityAttr *mergeVisibilityAttr(Decl *D, const AttributeCommonInfo &CI,
VisibilityAttr::VisibilityType Vis);
UuidAttr *mergeUuidAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef Uuid);
DLLImportAttr *mergeDLLImportAttr(Decl *D, const AttributeCommonInfo &CI);
DLLExportAttr *mergeDLLExportAttr(Decl *D, const AttributeCommonInfo &CI);
MSInheritanceAttr *mergeMSInheritanceAttr(Decl *D,
const AttributeCommonInfo &CI,
bool BestCase,
MSInheritanceModel Model);
FormatAttr *mergeFormatAttr(Decl *D, const AttributeCommonInfo &CI,
IdentifierInfo *Format, int FormatIdx,
int FirstArg);
SectionAttr *mergeSectionAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef Name);
CodeSegAttr *mergeCodeSegAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef Name);
AlwaysInlineAttr *mergeAlwaysInlineAttr(Decl *D,
const AttributeCommonInfo &CI,
const IdentifierInfo *Ident);
MinSizeAttr *mergeMinSizeAttr(Decl *D, const AttributeCommonInfo &CI);
NoSpeculativeLoadHardeningAttr *
mergeNoSpeculativeLoadHardeningAttr(Decl *D,
const NoSpeculativeLoadHardeningAttr &AL);
SpeculativeLoadHardeningAttr *
mergeSpeculativeLoadHardeningAttr(Decl *D,
const SpeculativeLoadHardeningAttr &AL);
OptimizeNoneAttr *mergeOptimizeNoneAttr(Decl *D,
const AttributeCommonInfo &CI);
SwiftNameAttr *mergeSwiftNameAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef Name, bool Override);
InternalLinkageAttr *mergeInternalLinkageAttr(Decl *D, const ParsedAttr &AL);
InternalLinkageAttr *mergeInternalLinkageAttr(Decl *D,
const InternalLinkageAttr &AL);
CommonAttr *mergeCommonAttr(Decl *D, const ParsedAttr &AL);
CommonAttr *mergeCommonAttr(Decl *D, const CommonAttr &AL);
void mergeDeclAttributes(NamedDecl *New, Decl *Old,
AvailabilityMergeKind AMK = AMK_Redeclaration);
void MergeTypedefNameDecl(Scope *S, TypedefNameDecl *New,
LookupResult &OldDecls);
bool MergeFunctionDecl(FunctionDecl *New, NamedDecl *&Old, Scope *S,
bool MergeTypeWithOld);
bool MergeCompatibleFunctionDecls(FunctionDecl *New, FunctionDecl *Old,
Scope *S, bool MergeTypeWithOld);
void mergeObjCMethodDecls(ObjCMethodDecl *New, ObjCMethodDecl *Old);
void MergeVarDecl(VarDecl *New, LookupResult &Previous);
void MergeVarDeclTypes(VarDecl *New, VarDecl *Old, bool MergeTypeWithOld);
void MergeVarDeclExceptionSpecs(VarDecl *New, VarDecl *Old);
bool checkVarDeclRedefinition(VarDecl *OldDefn, VarDecl *NewDefn);
void notePreviousDefinition(const NamedDecl *Old, SourceLocation New);
bool MergeCXXFunctionDecl(FunctionDecl *New, FunctionDecl *Old, Scope *S);
// AssignmentAction - This is used by all the assignment diagnostic functions
// to represent what is actually causing the operation
enum AssignmentAction {
AA_Assigning,
AA_Passing,
AA_Returning,
AA_Converting,
AA_Initializing,
AA_Sending,
AA_Casting,
AA_Passing_CFAudited
};
/// C++ Overloading.
enum OverloadKind {
/// This is a legitimate overload: the existing declarations are
/// functions or function templates with different signatures.
Ovl_Overload,
/// This is not an overload because the signature exactly matches
/// an existing declaration.
Ovl_Match,
/// This is not an overload because the lookup results contain a
/// non-function.
Ovl_NonFunction
};
OverloadKind CheckOverload(Scope *S,
FunctionDecl *New,
const LookupResult &OldDecls,
NamedDecl *&OldDecl,
bool IsForUsingDecl);
bool IsOverload(FunctionDecl *New, FunctionDecl *Old, bool IsForUsingDecl,
bool ConsiderCudaAttrs = true);
ImplicitConversionSequence
TryImplicitConversion(Expr *From, QualType ToType,
bool SuppressUserConversions,
bool AllowExplicit,
bool InOverloadResolution,
bool CStyle,
bool AllowObjCWritebackConversion);
bool IsIntegralPromotion(Expr *From, QualType FromType, QualType ToType);
bool IsFloatingPointPromotion(QualType FromType, QualType ToType);
bool IsComplexPromotion(QualType FromType, QualType ToType);
bool IsPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCWritebackConversion(QualType FromType, QualType ToType,
QualType &ConvertedType);
bool IsBlockPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType);
bool FunctionParamTypesAreEqual(const FunctionProtoType *OldType,
const FunctionProtoType *NewType,
unsigned *ArgPos = nullptr);
void HandleFunctionTypeMismatch(PartialDiagnostic &PDiag,
QualType FromType, QualType ToType);
void maybeExtendBlockObject(ExprResult &E);
CastKind PrepareCastToObjCObjectPointer(ExprResult &E);
bool CheckPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath& BasePath,
bool IgnoreBaseAccess,
bool Diagnose = true);
bool IsMemberPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType &ConvertedType);
bool CheckMemberPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath &BasePath,
bool IgnoreBaseAccess);
bool IsQualificationConversion(QualType FromType, QualType ToType,
bool CStyle, bool &ObjCLifetimeConversion);
bool IsFunctionConversion(QualType FromType, QualType ToType,
QualType &ResultTy);
bool DiagnoseMultipleUserDefinedConversion(Expr *From, QualType ToType);
bool isSameOrCompatibleFunctionType(CanQualType Param, CanQualType Arg);
ExprResult PerformMoveOrCopyInitialization(const InitializedEntity &Entity,
const VarDecl *NRVOCandidate,
QualType ResultType,
Expr *Value,
bool AllowNRVO = true);
bool CanPerformAggregateInitializationForOverloadResolution(
const InitializedEntity &Entity, InitListExpr *From);
bool CanPerformCopyInitialization(const InitializedEntity &Entity,
ExprResult Init);
ExprResult PerformCopyInitialization(const InitializedEntity &Entity,
SourceLocation EqualLoc,
ExprResult Init,
bool TopLevelOfInitList = false,
bool AllowExplicit = false);
ExprResult PerformObjectArgumentInitialization(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
CXXMethodDecl *Method);
/// Check that the lifetime of the initializer (and its subobjects) is
/// sufficient for initializing the entity, and perform lifetime extension
/// (when permitted) if not.
void checkInitializerLifetime(const InitializedEntity &Entity, Expr *Init);
ExprResult PerformContextuallyConvertToBool(Expr *From);
ExprResult PerformContextuallyConvertToObjCPointer(Expr *From);
/// Contexts in which a converted constant expression is required.
enum CCEKind {
CCEK_CaseValue, ///< Expression in a case label.
CCEK_Enumerator, ///< Enumerator value with fixed underlying type.
CCEK_TemplateArg, ///< Value of a non-type template parameter.
CCEK_NewExpr, ///< Constant expression in a noptr-new-declarator.
CCEK_ConstexprIf, ///< Condition in a constexpr if statement.
CCEK_ExplicitBool ///< Condition in an explicit(bool) specifier.
};
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
llvm::APSInt &Value, CCEKind CCE);
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
APValue &Value, CCEKind CCE);
/// Abstract base class used to perform a contextual implicit
/// conversion from an expression to any type passing a filter.
class ContextualImplicitConverter {
public:
bool Suppress;
bool SuppressConversion;
ContextualImplicitConverter(bool Suppress = false,
bool SuppressConversion = false)
: Suppress(Suppress), SuppressConversion(SuppressConversion) {}
/// Determine whether the specified type is a valid destination type
/// for this conversion.
virtual bool match(QualType T) = 0;
/// Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a diagnostic when the expression has incomplete class type.
virtual SemaDiagnosticBuilder
diagnoseIncomplete(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a diagnostic when the only matching conversion function
/// is explicit.
virtual SemaDiagnosticBuilder diagnoseExplicitConv(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
/// Emits a note for the explicit conversion function.
virtual SemaDiagnosticBuilder
noteExplicitConv(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// Emits a diagnostic when there are multiple possible conversion
/// functions.
virtual SemaDiagnosticBuilder
diagnoseAmbiguous(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a note for one of the candidate conversions.
virtual SemaDiagnosticBuilder
noteAmbiguous(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// Emits a diagnostic when we picked a conversion function
/// (for cases when we are not allowed to pick a conversion function).
virtual SemaDiagnosticBuilder diagnoseConversion(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
virtual ~ContextualImplicitConverter() {}
};
class ICEConvertDiagnoser : public ContextualImplicitConverter {
bool AllowScopedEnumerations;
public:
ICEConvertDiagnoser(bool AllowScopedEnumerations,
bool Suppress, bool SuppressConversion)
: ContextualImplicitConverter(Suppress, SuppressConversion),
AllowScopedEnumerations(AllowScopedEnumerations) {}
/// Match an integral or (possibly scoped) enumeration type.
bool match(QualType T) override;
SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) override {
return diagnoseNotInt(S, Loc, T);
}
/// Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNotInt(Sema &S, SourceLocation Loc, QualType T) = 0;
};
/// Perform a contextual implicit conversion.
ExprResult PerformContextualImplicitConversion(
SourceLocation Loc, Expr *FromE, ContextualImplicitConverter &Converter);
enum ObjCSubscriptKind {
OS_Array,
OS_Dictionary,
OS_Error
};
ObjCSubscriptKind CheckSubscriptingKind(Expr *FromE);
// Note that LK_String is intentionally after the other literals, as
// this is used for diagnostics logic.
enum ObjCLiteralKind {
LK_Array,
LK_Dictionary,
LK_Numeric,
LK_Boxed,
LK_String,
LK_Block,
LK_None
};
ObjCLiteralKind CheckLiteralKind(Expr *FromE);
ExprResult PerformObjectMemberConversion(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
NamedDecl *Member);
// Members have to be NamespaceDecl* or TranslationUnitDecl*.
// TODO: make this is a typesafe union.
typedef llvm::SmallSetVector<DeclContext *, 16> AssociatedNamespaceSet;
typedef llvm::SmallSetVector<CXXRecordDecl *, 16> AssociatedClassSet;
using ADLCallKind = CallExpr::ADLCallKind;
void AddOverloadCandidate(FunctionDecl *Function, DeclAccessPair FoundDecl,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool AllowExplicit = true,
bool AllowExplicitConversion = false,
ADLCallKind IsADLCandidate = ADLCallKind::NotADL,
ConversionSequenceList EarlyConversions = None,
OverloadCandidateParamOrder PO = {});
void AddFunctionCandidates(const UnresolvedSetImpl &Functions,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool FirstArgumentIsBase = false);
void AddMethodCandidate(DeclAccessPair FoundDecl,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversion = false,
OverloadCandidateParamOrder PO = {});
void AddMethodCandidate(CXXMethodDecl *Method,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
ConversionSequenceList EarlyConversions = None,
OverloadCandidateParamOrder PO = {});
void AddMethodTemplateCandidate(FunctionTemplateDecl *MethodTmpl,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
OverloadCandidateParamOrder PO = {});
void AddTemplateOverloadCandidate(
FunctionTemplateDecl *FunctionTemplate, DeclAccessPair FoundDecl,
TemplateArgumentListInfo *ExplicitTemplateArgs, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet, bool SuppressUserConversions = false,
bool PartialOverloading = false, bool AllowExplicit = true,
ADLCallKind IsADLCandidate = ADLCallKind::NotADL,
OverloadCandidateParamOrder PO = {});
bool CheckNonDependentConversions(
FunctionTemplateDecl *FunctionTemplate, ArrayRef<QualType> ParamTypes,
ArrayRef<Expr *> Args, OverloadCandidateSet &CandidateSet,
ConversionSequenceList &Conversions, bool SuppressUserConversions,
CXXRecordDecl *ActingContext = nullptr, QualType ObjectType = QualType(),
Expr::Classification ObjectClassification = {},
OverloadCandidateParamOrder PO = {});
void AddConversionCandidate(
CXXConversionDecl *Conversion, DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, Expr *From, QualType ToType,
OverloadCandidateSet &CandidateSet, bool AllowObjCConversionOnExplicit,
bool AllowExplicit, bool AllowResultConversion = true);
void AddTemplateConversionCandidate(
FunctionTemplateDecl *FunctionTemplate, DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, Expr *From, QualType ToType,
OverloadCandidateSet &CandidateSet, bool AllowObjCConversionOnExplicit,
bool AllowExplicit, bool AllowResultConversion = true);
void AddSurrogateCandidate(CXXConversionDecl *Conversion,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
const FunctionProtoType *Proto,
Expr *Object, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddNonMemberOperatorCandidates(
const UnresolvedSetImpl &Functions, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr);
void AddMemberOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
OverloadCandidateParamOrder PO = {});
void AddBuiltinCandidate(QualType *ParamTys, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool IsAssignmentOperator = false,
unsigned NumContextualBoolArguments = 0);
void AddBuiltinOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddArgumentDependentLookupCandidates(DeclarationName Name,
SourceLocation Loc,
ArrayRef<Expr *> Args,
TemplateArgumentListInfo *ExplicitTemplateArgs,
OverloadCandidateSet& CandidateSet,
bool PartialOverloading = false);
// Emit as a 'note' the specific overload candidate
void NoteOverloadCandidate(
NamedDecl *Found, FunctionDecl *Fn,
OverloadCandidateRewriteKind RewriteKind = OverloadCandidateRewriteKind(),
QualType DestType = QualType(), bool TakingAddress = false);
// Emit as a series of 'note's all template and non-templates identified by
// the expression Expr
void NoteAllOverloadCandidates(Expr *E, QualType DestType = QualType(),
bool TakingAddress = false);
/// Check the enable_if expressions on the given function. Returns the first
/// failing attribute, or NULL if they were all successful.
EnableIfAttr *CheckEnableIf(FunctionDecl *Function, ArrayRef<Expr *> Args,
bool MissingImplicitThis = false);
/// Find the failed Boolean condition within a given Boolean
/// constant expression, and describe it with a string.
std::pair<Expr *, std::string> findFailedBooleanCondition(Expr *Cond);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// non-ArgDependent DiagnoseIfAttrs.
///
/// Argument-dependent diagnose_if attributes should be checked each time a
/// function is used as a direct callee of a function call.
///
/// Returns true if any errors were emitted.
bool diagnoseArgDependentDiagnoseIfAttrs(const FunctionDecl *Function,
const Expr *ThisArg,
ArrayRef<const Expr *> Args,
SourceLocation Loc);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// ArgDependent DiagnoseIfAttrs.
///
/// Argument-independent diagnose_if attributes should be checked on every use
/// of a function.
///
/// Returns true if any errors were emitted.
bool diagnoseArgIndependentDiagnoseIfAttrs(const NamedDecl *ND,
SourceLocation Loc);
/// Returns whether the given function's address can be taken or not,
/// optionally emitting a diagnostic if the address can't be taken.
///
/// Returns false if taking the address of the function is illegal.
bool checkAddressOfFunctionIsAvailable(const FunctionDecl *Function,
bool Complain = false,
SourceLocation Loc = SourceLocation());
// [PossiblyAFunctionType] --> [Return]
// NonFunctionType --> NonFunctionType
// R (A) --> R(A)
// R (*)(A) --> R (A)
// R (&)(A) --> R (A)
// R (S::*)(A) --> R (A)
QualType ExtractUnqualifiedFunctionType(QualType PossiblyAFunctionType);
FunctionDecl *
ResolveAddressOfOverloadedFunction(Expr *AddressOfExpr,
QualType TargetType,
bool Complain,
DeclAccessPair &Found,
bool *pHadMultipleCandidates = nullptr);
FunctionDecl *
resolveAddressOfOnlyViableOverloadCandidate(Expr *E,
DeclAccessPair &FoundResult);
bool resolveAndFixAddressOfOnlyViableOverloadCandidate(
ExprResult &SrcExpr, bool DoFunctionPointerConversion = false);
FunctionDecl *
ResolveSingleFunctionTemplateSpecialization(OverloadExpr *ovl,
bool Complain = false,
DeclAccessPair *Found = nullptr);
bool ResolveAndFixSingleFunctionTemplateSpecialization(
ExprResult &SrcExpr,
bool DoFunctionPointerConverion = false,
bool Complain = false,
SourceRange OpRangeForComplaining = SourceRange(),
QualType DestTypeForComplaining = QualType(),
unsigned DiagIDForComplaining = 0);
Expr *FixOverloadedFunctionReference(Expr *E,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
ExprResult FixOverloadedFunctionReference(ExprResult,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
void AddOverloadedCallCandidates(UnresolvedLookupExpr *ULE,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool PartialOverloading = false);
// An enum used to represent the different possible results of building a
// range-based for loop.
enum ForRangeStatus {
FRS_Success,
FRS_NoViableFunction,
FRS_DiagnosticIssued
};
ForRangeStatus BuildForRangeBeginEndCall(SourceLocation Loc,
SourceLocation RangeLoc,
const DeclarationNameInfo &NameInfo,
LookupResult &MemberLookup,
OverloadCandidateSet *CandidateSet,
Expr *Range, ExprResult *CallExpr);
ExprResult BuildOverloadedCallExpr(Scope *S, Expr *Fn,
UnresolvedLookupExpr *ULE,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc,
Expr *ExecConfig,
bool AllowTypoCorrection=true,
bool CalleesAddressIsTaken=false);
bool buildOverloadedCallSet(Scope *S, Expr *Fn, UnresolvedLookupExpr *ULE,
MultiExprArg Args, SourceLocation RParenLoc,
OverloadCandidateSet *CandidateSet,
ExprResult *Result);
ExprResult CreateOverloadedUnaryOp(SourceLocation OpLoc,
UnaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *input, bool RequiresADL = true);
void LookupOverloadedBinOp(OverloadCandidateSet &CandidateSet,
OverloadedOperatorKind Op,
const UnresolvedSetImpl &Fns,
ArrayRef<Expr *> Args, bool RequiresADL = true);
ExprResult CreateOverloadedBinOp(SourceLocation OpLoc,
BinaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *LHS, Expr *RHS,
bool RequiresADL = true,
bool AllowRewrittenCandidates = true,
FunctionDecl *DefaultedFn = nullptr);
ExprResult BuildSynthesizedThreeWayComparison(SourceLocation OpLoc,
const UnresolvedSetImpl &Fns,
Expr *LHS, Expr *RHS,
FunctionDecl *DefaultedFn);
ExprResult CreateOverloadedArraySubscriptExpr(SourceLocation LLoc,
SourceLocation RLoc,
Expr *Base,Expr *Idx);
ExprResult
BuildCallToMemberFunction(Scope *S, Expr *MemExpr,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult
BuildCallToObjectOfClassType(Scope *S, Expr *Object, SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult BuildOverloadedArrowExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
bool *NoArrowOperatorFound = nullptr);
/// CheckCallReturnType - Checks that a call expression's return type is
/// complete. Returns true on failure. The location passed in is the location
/// that best represents the call.
bool CheckCallReturnType(QualType ReturnType, SourceLocation Loc,
CallExpr *CE, FunctionDecl *FD);
/// Helpers for dealing with blocks and functions.
bool CheckParmsForFunctionDef(ArrayRef<ParmVarDecl *> Parameters,
bool CheckParameterNames);
void CheckCXXDefaultArguments(FunctionDecl *FD);
void CheckExtraCXXDefaultArguments(Declarator &D);
Scope *getNonFieldDeclScope(Scope *S);
/// \name Name lookup
///
/// These routines provide name lookup that is used during semantic
/// analysis to resolve the various kinds of names (identifiers,
/// overloaded operator names, constructor names, etc.) into zero or
/// more declarations within a particular scope. The major entry
/// points are LookupName, which performs unqualified name lookup,
/// and LookupQualifiedName, which performs qualified name lookup.
///
/// All name lookup is performed based on some specific criteria,
/// which specify what names will be visible to name lookup and how
/// far name lookup should work. These criteria are important both
/// for capturing language semantics (certain lookups will ignore
/// certain names, for example) and for performance, since name
/// lookup is often a bottleneck in the compilation of C++. Name
/// lookup criteria is specified via the LookupCriteria enumeration.
///
/// The results of name lookup can vary based on the kind of name
/// lookup performed, the current language, and the translation
/// unit. In C, for example, name lookup will either return nothing
/// (no entity found) or a single declaration. In C++, name lookup
/// can additionally refer to a set of overloaded functions or
/// result in an ambiguity. All of the possible results of name
/// lookup are captured by the LookupResult class, which provides
/// the ability to distinguish among them.
//@{
/// Describes the kind of name lookup to perform.
enum LookupNameKind {
/// Ordinary name lookup, which finds ordinary names (functions,
/// variables, typedefs, etc.) in C and most kinds of names
/// (functions, variables, members, types, etc.) in C++.
LookupOrdinaryName = 0,
/// Tag name lookup, which finds the names of enums, classes,
/// structs, and unions.
LookupTagName,
/// Label name lookup.
LookupLabel,
/// Member name lookup, which finds the names of
/// class/struct/union members.
LookupMemberName,
/// Look up of an operator name (e.g., operator+) for use with
/// operator overloading. This lookup is similar to ordinary name
/// lookup, but will ignore any declarations that are class members.
LookupOperatorName,
/// Look up of a name that precedes the '::' scope resolution
/// operator in C++. This lookup completely ignores operator, object,
/// function, and enumerator names (C++ [basic.lookup.qual]p1).
LookupNestedNameSpecifierName,
/// Look up a namespace name within a C++ using directive or
/// namespace alias definition, ignoring non-namespace names (C++
/// [basic.lookup.udir]p1).
LookupNamespaceName,
/// Look up all declarations in a scope with the given name,
/// including resolved using declarations. This is appropriate
/// for checking redeclarations for a using declaration.
LookupUsingDeclName,
/// Look up an ordinary name that is going to be redeclared as a
/// name with linkage. This lookup ignores any declarations that
/// are outside of the current scope unless they have linkage. See
/// C99 6.2.2p4-5 and C++ [basic.link]p6.
LookupRedeclarationWithLinkage,
/// Look up a friend of a local class. This lookup does not look
/// outside the innermost non-class scope. See C++11 [class.friend]p11.
LookupLocalFriendName,
/// Look up the name of an Objective-C protocol.
LookupObjCProtocolName,
/// Look up implicit 'self' parameter of an objective-c method.
LookupObjCImplicitSelfParam,
/// Look up the name of an OpenMP user-defined reduction operation.
LookupOMPReductionName,
/// Look up the name of an OpenMP user-defined mapper.
LookupOMPMapperName,
/// Look up any declaration with any name.
LookupAnyName
};
/// Specifies whether (or how) name lookup is being performed for a
/// redeclaration (vs. a reference).
enum RedeclarationKind {
/// The lookup is a reference to this name that is not for the
/// purpose of redeclaring the name.
NotForRedeclaration = 0,
/// The lookup results will be used for redeclaration of a name,
/// if an entity by that name already exists and is visible.
ForVisibleRedeclaration,
/// The lookup results will be used for redeclaration of a name
/// with external linkage; non-visible lookup results with external linkage
/// may also be found.
ForExternalRedeclaration
};
RedeclarationKind forRedeclarationInCurContext() {
// A declaration with an owning module for linkage can never link against
// anything that is not visible. We don't need to check linkage here; if
// the context has internal linkage, redeclaration lookup won't find things
// from other TUs, and we can't safely compute linkage yet in general.
if (cast<Decl>(CurContext)
->getOwningModuleForLinkage(/*IgnoreLinkage*/true))
return ForVisibleRedeclaration;
return ForExternalRedeclaration;
}
/// The possible outcomes of name lookup for a literal operator.
enum LiteralOperatorLookupResult {
/// The lookup resulted in an error.
LOLR_Error,
/// The lookup found no match but no diagnostic was issued.
LOLR_ErrorNoDiagnostic,
/// The lookup found a single 'cooked' literal operator, which
/// expects a normal literal to be built and passed to it.
LOLR_Cooked,
/// The lookup found a single 'raw' literal operator, which expects
/// a string literal containing the spelling of the literal token.
LOLR_Raw,
/// The lookup found an overload set of literal operator templates,
/// which expect the characters of the spelling of the literal token to be
/// passed as a non-type template argument pack.
LOLR_Template,
/// The lookup found an overload set of literal operator templates,
/// which expect the character type and characters of the spelling of the
/// string literal token to be passed as template arguments.
LOLR_StringTemplate
};
SpecialMemberOverloadResult LookupSpecialMember(CXXRecordDecl *D,
CXXSpecialMember SM,
bool ConstArg,
bool VolatileArg,
bool RValueThis,
bool ConstThis,
bool VolatileThis);
typedef std::function<void(const TypoCorrection &)> TypoDiagnosticGenerator;
typedef std::function<ExprResult(Sema &, TypoExpr *, TypoCorrection)>
TypoRecoveryCallback;
private:
bool CppLookupName(LookupResult &R, Scope *S);
struct TypoExprState {
std::unique_ptr<TypoCorrectionConsumer> Consumer;
TypoDiagnosticGenerator DiagHandler;
TypoRecoveryCallback RecoveryHandler;
TypoExprState();
TypoExprState(TypoExprState &&other) noexcept;
TypoExprState &operator=(TypoExprState &&other) noexcept;
};
/// The set of unhandled TypoExprs and their associated state.
llvm::MapVector<TypoExpr *, TypoExprState> DelayedTypos;
/// Creates a new TypoExpr AST node.
TypoExpr *createDelayedTypo(std::unique_ptr<TypoCorrectionConsumer> TCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC);
// The set of known/encountered (unique, canonicalized) NamespaceDecls.
//
// The boolean value will be true to indicate that the namespace was loaded
// from an AST/PCH file, or false otherwise.
llvm::MapVector<NamespaceDecl*, bool> KnownNamespaces;
/// Whether we have already loaded known namespaces from an extenal
/// source.
bool LoadedExternalKnownNamespaces;
/// Helper for CorrectTypo and CorrectTypoDelayed used to create and
/// populate a new TypoCorrectionConsumer. Returns nullptr if typo correction
/// should be skipped entirely.
std::unique_ptr<TypoCorrectionConsumer>
makeTypoCorrectionConsumer(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
CorrectionCandidateCallback &CCC,
DeclContext *MemberContext, bool EnteringContext,
const ObjCObjectPointerType *OPT,
bool ErrorRecovery);
public:
const TypoExprState &getTypoExprState(TypoExpr *TE) const;
/// Clears the state of the given TypoExpr.
void clearDelayedTypo(TypoExpr *TE);
/// Look up a name, looking for a single declaration. Return
/// null if the results were absent, ambiguous, or overloaded.
///
/// It is preferable to use the elaborated form and explicitly handle
/// ambiguity and overloaded.
NamedDecl *LookupSingleName(Scope *S, DeclarationName Name,
SourceLocation Loc,
LookupNameKind NameKind,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupBuiltin(LookupResult &R);
bool LookupName(LookupResult &R, Scope *S,
bool AllowBuiltinCreation = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
bool InUnqualifiedLookup = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
CXXScopeSpec &SS);
bool LookupParsedName(LookupResult &R, Scope *S, CXXScopeSpec *SS,
bool AllowBuiltinCreation = false,
bool EnteringContext = false);
ObjCProtocolDecl *LookupProtocol(IdentifierInfo *II, SourceLocation IdLoc,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupInSuper(LookupResult &R, CXXRecordDecl *Class);
void LookupOverloadedOperatorName(OverloadedOperatorKind Op, Scope *S,
QualType T1, QualType T2,
UnresolvedSetImpl &Functions);
LabelDecl *LookupOrCreateLabel(IdentifierInfo *II, SourceLocation IdentLoc,
SourceLocation GnuLabelLoc = SourceLocation());
DeclContextLookupResult LookupConstructors(CXXRecordDecl *Class);
CXXConstructorDecl *LookupDefaultConstructor(CXXRecordDecl *Class);
CXXConstructorDecl *LookupCopyingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupCopyingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXConstructorDecl *LookupMovingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupMovingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXDestructorDecl *LookupDestructor(CXXRecordDecl *Class);
bool checkLiteralOperatorId(const CXXScopeSpec &SS, const UnqualifiedId &Id);
LiteralOperatorLookupResult LookupLiteralOperator(Scope *S, LookupResult &R,
ArrayRef<QualType> ArgTys,
bool AllowRaw,
bool AllowTemplate,
bool AllowStringTemplate,
bool DiagnoseMissing);
bool isKnownName(StringRef name);
/// Status of the function emission on the CUDA/HIP/OpenMP host/device attrs.
enum class FunctionEmissionStatus {
Emitted,
CUDADiscarded, // Discarded due to CUDA/HIP hostness
OMPDiscarded, // Discarded due to OpenMP hostness
TemplateDiscarded, // Discarded due to uninstantiated templates
Unknown,
};
FunctionEmissionStatus getEmissionStatus(FunctionDecl *Decl);
// Whether the callee should be ignored in CUDA/HIP/OpenMP host/device check.
bool shouldIgnoreInHostDeviceCheck(FunctionDecl *Callee);
void ArgumentDependentLookup(DeclarationName Name, SourceLocation Loc,
ArrayRef<Expr *> Args, ADLResult &Functions);
void LookupVisibleDecls(Scope *S, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true,
bool LoadExternal = true);
void LookupVisibleDecls(DeclContext *Ctx, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true,
bool IncludeDependentBases = false,
bool LoadExternal = true);
enum CorrectTypoKind {
CTK_NonError, // CorrectTypo used in a non error recovery situation.
CTK_ErrorRecovery // CorrectTypo used in normal error recovery.
};
TypoCorrection CorrectTypo(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind,
Scope *S, CXXScopeSpec *SS,
CorrectionCandidateCallback &CCC,
CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr,
bool RecordFailure = true);
TypoExpr *CorrectTypoDelayed(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
CorrectionCandidateCallback &CCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC, CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr);
/// Process any TypoExprs in the given Expr and its children,
/// generating diagnostics as appropriate and returning a new Expr if there
/// were typos that were all successfully corrected and ExprError if one or
/// more typos could not be corrected.
///
/// \param E The Expr to check for TypoExprs.
///
/// \param InitDecl A VarDecl to avoid because the Expr being corrected is its
/// initializer.
///
/// \param Filter A function applied to a newly rebuilt Expr to determine if
/// it is an acceptable/usable result from a single combination of typo
/// corrections. As long as the filter returns ExprError, different
/// combinations of corrections will be tried until all are exhausted.
ExprResult
CorrectDelayedTyposInExpr(Expr *E, VarDecl *InitDecl = nullptr,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; });
ExprResult
CorrectDelayedTyposInExpr(Expr *E,
llvm::function_ref<ExprResult(Expr *)> Filter) {
return CorrectDelayedTyposInExpr(E, nullptr, Filter);
}
ExprResult
CorrectDelayedTyposInExpr(ExprResult ER, VarDecl *InitDecl = nullptr,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; }) {
return ER.isInvalid() ? ER : CorrectDelayedTyposInExpr(ER.get(), Filter);
}
ExprResult
CorrectDelayedTyposInExpr(ExprResult ER,
llvm::function_ref<ExprResult(Expr *)> Filter) {
return CorrectDelayedTyposInExpr(ER, nullptr, Filter);
}
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
bool ErrorRecovery = true);
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
const PartialDiagnostic &PrevNote,
bool ErrorRecovery = true);
void MarkTypoCorrectedFunctionDefinition(const NamedDecl *F);
void FindAssociatedClassesAndNamespaces(SourceLocation InstantiationLoc,
ArrayRef<Expr *> Args,
AssociatedNamespaceSet &AssociatedNamespaces,
AssociatedClassSet &AssociatedClasses);
void FilterLookupForScope(LookupResult &R, DeclContext *Ctx, Scope *S,
bool ConsiderLinkage, bool AllowInlineNamespace);
bool CheckRedeclarationModuleOwnership(NamedDecl *New, NamedDecl *Old);
void DiagnoseAmbiguousLookup(LookupResult &Result);
//@}
ObjCInterfaceDecl *getObjCInterfaceDecl(IdentifierInfo *&Id,
SourceLocation IdLoc,
bool TypoCorrection = false);
NamedDecl *LazilyCreateBuiltin(IdentifierInfo *II, unsigned ID,
Scope *S, bool ForRedeclaration,
SourceLocation Loc);
NamedDecl *ImplicitlyDefineFunction(SourceLocation Loc, IdentifierInfo &II,
Scope *S);
void AddKnownFunctionAttributes(FunctionDecl *FD);
// More parsing and symbol table subroutines.
void ProcessPragmaWeak(Scope *S, Decl *D);
// Decl attributes - this routine is the top level dispatcher.
void ProcessDeclAttributes(Scope *S, Decl *D, const Declarator &PD);
// Helper for delayed processing of attributes.
void ProcessDeclAttributeDelayed(Decl *D,
const ParsedAttributesView &AttrList);
void ProcessDeclAttributeList(Scope *S, Decl *D, const ParsedAttributesView &AL,
bool IncludeCXX11Attributes = true);
bool ProcessAccessDeclAttributeList(AccessSpecDecl *ASDecl,
const ParsedAttributesView &AttrList);
void checkUnusedDeclAttributes(Declarator &D);
/// Map any API notes provided for this declaration to attributes on the
/// declaration.
///
/// Triggered by declaration-attribute processing.
void ProcessAPINotes(Decl *D);
/// Determine if type T is a valid subject for a nonnull and similar
/// attributes. By default, we look through references (the behavior used by
/// nonnull), but if the second parameter is true, then we treat a reference
/// type as valid.
bool isValidPointerAttrType(QualType T, bool RefOkay = false);
bool CheckRegparmAttr(const ParsedAttr &attr, unsigned &value);
bool CheckCallingConvAttr(const ParsedAttr &attr, CallingConv &CC,
const FunctionDecl *FD = nullptr);
bool CheckAttrTarget(const ParsedAttr &CurrAttr);
bool CheckAttrNoArgs(const ParsedAttr &CurrAttr);
bool checkStringLiteralArgumentAttr(const ParsedAttr &Attr, unsigned ArgNum,
StringRef &Str,
SourceLocation *ArgLocation = nullptr);
bool checkSectionName(SourceLocation LiteralLoc, StringRef Str);
bool checkTargetAttr(SourceLocation LiteralLoc, StringRef Str);
bool checkMSInheritanceAttrOnDefinition(
CXXRecordDecl *RD, SourceRange Range, bool BestCase,
MSInheritanceModel SemanticSpelling);
void CheckAlignasUnderalignment(Decl *D);
/// Adjust the calling convention of a method to be the ABI default if it
/// wasn't specified explicitly. This handles method types formed from
/// function type typedefs and typename template arguments.
void adjustMemberFunctionCC(QualType &T, bool IsStatic, bool IsCtorOrDtor,
SourceLocation Loc);
// Check if there is an explicit attribute, but only look through parens.
// The intent is to look for an attribute on the current declarator, but not
// one that came from a typedef.
bool hasExplicitCallingConv(QualType T);
/// Get the outermost AttributedType node that sets a calling convention.
/// Valid types should not have multiple attributes with different CCs.
const AttributedType *getCallingConvAttributedType(QualType T) const;
/// Check whether a nullability type specifier can be added to the given
/// type through some means not written in source (e.g. API notes).
///
/// \param type The type to which the nullability specifier will be
/// added. On success, this type will be updated appropriately.
///
/// \param nullability The nullability specifier to add.
///
/// \param diagLoc The location to use for diagnostics.
///
/// \param allowArrayTypes Whether to accept nullability specifiers on an
/// array type (e.g., because it will decay to a pointer).
///
/// \param overrideExisting Whether to override an existing, locally-specified
/// nullability specifier rather than complaining about the conflict.
///
/// \returns true if nullability cannot be applied, false otherwise.
bool checkImplicitNullabilityTypeSpecifier(QualType &type,
NullabilityKind nullability,
SourceLocation diagLoc,
bool allowArrayTypes,
bool overrideExisting);
/// Stmt attributes - this routine is the top level dispatcher.
StmtResult ProcessStmtAttributes(Stmt *Stmt,
const ParsedAttributesView &Attrs,
SourceRange Range);
void WarnConflictingTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
void CheckConflictingOverridingMethod(ObjCMethodDecl *Method,
ObjCMethodDecl *Overridden,
bool IsProtocolMethodDecl);
/// WarnExactTypedMethods - This routine issues a warning if method
/// implementation declaration matches exactly that of its declaration.
void WarnExactTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
typedef llvm::SmallPtrSet<Selector, 8> SelectorSet;
/// CheckImplementationIvars - This routine checks if the instance variables
/// listed in the implelementation match those listed in the interface.
void CheckImplementationIvars(ObjCImplementationDecl *ImpDecl,
ObjCIvarDecl **Fields, unsigned nIvars,
SourceLocation Loc);
/// ImplMethodsVsClassMethods - This is main routine to warn if any method
/// remains unimplemented in the class or category \@implementation.
void ImplMethodsVsClassMethods(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool IncompleteImpl = false);
/// DiagnoseUnimplementedProperties - This routine warns on those properties
/// which must be implemented by this implementation.
void DiagnoseUnimplementedProperties(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl *CDecl,
bool SynthesizeProperties);
/// Diagnose any null-resettable synthesized setters.
void diagnoseNullResettableSynthesizedSetters(const ObjCImplDecl *impDecl);
/// DefaultSynthesizeProperties - This routine default synthesizes all
/// properties which must be synthesized in the class's \@implementation.
void DefaultSynthesizeProperties(Scope *S, ObjCImplDecl *IMPDecl,
ObjCInterfaceDecl *IDecl,
SourceLocation AtEnd);
void DefaultSynthesizeProperties(Scope *S, Decl *D, SourceLocation AtEnd);
/// IvarBacksCurrentMethodAccessor - This routine returns 'true' if 'IV' is
/// an ivar synthesized for 'Method' and 'Method' is a property accessor
/// declared in class 'IFace'.
bool IvarBacksCurrentMethodAccessor(ObjCInterfaceDecl *IFace,
ObjCMethodDecl *Method, ObjCIvarDecl *IV);
/// DiagnoseUnusedBackingIvarInAccessor - Issue an 'unused' warning if ivar which
/// backs the property is not used in the property's accessor.
void DiagnoseUnusedBackingIvarInAccessor(Scope *S,
const ObjCImplementationDecl *ImplD);
/// GetIvarBackingPropertyAccessor - If method is a property setter/getter and
/// it property has a backing ivar, returns this ivar; otherwise, returns NULL.
/// It also returns ivar's property on success.
ObjCIvarDecl *GetIvarBackingPropertyAccessor(const ObjCMethodDecl *Method,
const ObjCPropertyDecl *&PDecl) const;
/// Called by ActOnProperty to handle \@property declarations in
/// class extensions.
ObjCPropertyDecl *HandlePropertyInClassExtension(Scope *S,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
unsigned &Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind);
/// Called by ActOnProperty and HandlePropertyInClassExtension to
/// handle creating the ObjcPropertyDecl for a category or \@interface.
ObjCPropertyDecl *CreatePropertyDecl(Scope *S,
ObjCContainerDecl *CDecl,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
const unsigned Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
/// AtomicPropertySetterGetterRules - This routine enforces the rule (via
/// warning) when atomic property has one but not the other user-declared
/// setter or getter.
void AtomicPropertySetterGetterRules(ObjCImplDecl* IMPDecl,
ObjCInterfaceDecl* IDecl);
void DiagnoseOwningPropertyGetterSynthesis(const ObjCImplementationDecl *D);
void DiagnoseMissingDesignatedInitOverrides(
const ObjCImplementationDecl *ImplD,
const ObjCInterfaceDecl *IFD);
void DiagnoseDuplicateIvars(ObjCInterfaceDecl *ID, ObjCInterfaceDecl *SID);
enum MethodMatchStrategy {
MMS_loose,
MMS_strict
};
/// MatchTwoMethodDeclarations - Checks if two methods' type match and returns
/// true, or false, accordingly.
bool MatchTwoMethodDeclarations(const ObjCMethodDecl *Method,
const ObjCMethodDecl *PrevMethod,
MethodMatchStrategy strategy = MMS_strict);
/// MatchAllMethodDeclarations - Check methods declaraed in interface or
/// or protocol against those declared in their implementations.
void MatchAllMethodDeclarations(const SelectorSet &InsMap,
const SelectorSet &ClsMap,
SelectorSet &InsMapSeen,
SelectorSet &ClsMapSeen,
ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool &IncompleteImpl,
bool ImmediateClass,
bool WarnCategoryMethodImpl=false);
/// CheckCategoryVsClassMethodMatches - Checks that methods implemented in
/// category matches with those implemented in its primary class and
/// warns each time an exact match is found.
void CheckCategoryVsClassMethodMatches(ObjCCategoryImplDecl *CatIMP);
/// Add the given method to the list of globally-known methods.
void addMethodToGlobalList(ObjCMethodList *List, ObjCMethodDecl *Method);
/// Returns default addr space for method qualifiers.
LangAS getDefaultCXXMethodAddrSpace() const;
private:
/// AddMethodToGlobalPool - Add an instance or factory method to the global
/// pool. See descriptoin of AddInstanceMethodToGlobalPool.
void AddMethodToGlobalPool(ObjCMethodDecl *Method, bool impl, bool instance);
/// LookupMethodInGlobalPool - Returns the instance or factory method and
/// optionally warns if there are multiple signatures.
ObjCMethodDecl *LookupMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass,
bool instance);
public:
/// - Returns instance or factory methods in global method pool for
/// given selector. It checks the desired kind first, if none is found, and
/// parameter checkTheOther is set, it then checks the other kind. If no such
/// method or only one method is found, function returns false; otherwise, it
/// returns true.
bool
CollectMultipleMethodsInGlobalPool(Selector Sel,
SmallVectorImpl<ObjCMethodDecl*>& Methods,
bool InstanceFirst, bool CheckTheOther,
const ObjCObjectType *TypeBound = nullptr);
bool
AreMultipleMethodsInGlobalPool(Selector Sel, ObjCMethodDecl *BestMethod,
SourceRange R, bool receiverIdOrClass,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
void
DiagnoseMultipleMethodInGlobalPool(SmallVectorImpl<ObjCMethodDecl*> &Methods,
Selector Sel, SourceRange R,
bool receiverIdOrClass);
private:
/// - Returns a selector which best matches given argument list or
/// nullptr if none could be found
ObjCMethodDecl *SelectBestMethod(Selector Sel, MultiExprArg Args,
bool IsInstance,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
/// Record the typo correction failure and return an empty correction.
TypoCorrection FailedCorrection(IdentifierInfo *Typo, SourceLocation TypoLoc,
bool RecordFailure = true) {
if (RecordFailure)
TypoCorrectionFailures[Typo].insert(TypoLoc);
return TypoCorrection();
}
public:
/// AddInstanceMethodToGlobalPool - All instance methods in a translation
/// unit are added to a global pool. This allows us to efficiently associate
/// a selector with a method declaraation for purposes of typechecking
/// messages sent to "id" (where the class of the object is unknown).
void AddInstanceMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/true);
}
/// AddFactoryMethodToGlobalPool - Same as above, but for factory methods.
void AddFactoryMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/false);
}
/// AddAnyMethodToGlobalPool - Add any method, instance or factory to global
/// pool.
void AddAnyMethodToGlobalPool(Decl *D);
/// LookupInstanceMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupInstanceMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/true);
}
/// LookupFactoryMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupFactoryMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/false);
}
const ObjCMethodDecl *SelectorsForTypoCorrection(Selector Sel,
QualType ObjectType=QualType());
/// LookupImplementedMethodInGlobalPool - Returns the method which has an
/// implementation.
ObjCMethodDecl *LookupImplementedMethodInGlobalPool(Selector Sel);
/// CollectIvarsToConstructOrDestruct - Collect those ivars which require
/// initialization.
void CollectIvarsToConstructOrDestruct(ObjCInterfaceDecl *OI,
SmallVectorImpl<ObjCIvarDecl*> &Ivars);
//===--------------------------------------------------------------------===//
// Statement Parsing Callbacks: SemaStmt.cpp.
public:
class FullExprArg {
public:
FullExprArg() : E(nullptr) { }
FullExprArg(Sema &actions) : E(nullptr) { }
ExprResult release() {
return E;
}
Expr *get() const { return E; }
Expr *operator->() {
return E;
}
private:
// FIXME: No need to make the entire Sema class a friend when it's just
// Sema::MakeFullExpr that needs access to the constructor below.
friend class Sema;
explicit FullExprArg(Expr *expr) : E(expr) {}
Expr *E;
};
FullExprArg MakeFullExpr(Expr *Arg) {
return MakeFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation());
}
FullExprArg MakeFullExpr(Expr *Arg, SourceLocation CC) {
return FullExprArg(
ActOnFinishFullExpr(Arg, CC, /*DiscardedValue*/ false).get());
}
FullExprArg MakeFullDiscardedValueExpr(Expr *Arg) {
ExprResult FE =
ActOnFinishFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation(),
/*DiscardedValue*/ true);
return FullExprArg(FE.get());
}
StmtResult ActOnExprStmt(ExprResult Arg, bool DiscardedValue = true);
StmtResult ActOnExprStmtError();
StmtResult ActOnNullStmt(SourceLocation SemiLoc,
bool HasLeadingEmptyMacro = false);
void ActOnStartOfCompoundStmt(bool IsStmtExpr);
void ActOnFinishOfCompoundStmt();
StmtResult ActOnCompoundStmt(SourceLocation L, SourceLocation R,
ArrayRef<Stmt *> Elts, bool isStmtExpr);
/// A RAII object to enter scope of a compound statement.
class CompoundScopeRAII {
public:
CompoundScopeRAII(Sema &S, bool IsStmtExpr = false) : S(S) {
S.ActOnStartOfCompoundStmt(IsStmtExpr);
}
~CompoundScopeRAII() {
S.ActOnFinishOfCompoundStmt();
}
private:
Sema &S;
};
/// An RAII helper that pops function a function scope on exit.
struct FunctionScopeRAII {
Sema &S;
bool Active;
FunctionScopeRAII(Sema &S) : S(S), Active(true) {}
~FunctionScopeRAII() {
if (Active)
S.PopFunctionScopeInfo();
}
void disable() { Active = false; }
};
StmtResult ActOnDeclStmt(DeclGroupPtrTy Decl,
SourceLocation StartLoc,
SourceLocation EndLoc);
void ActOnForEachDeclStmt(DeclGroupPtrTy Decl);
StmtResult ActOnForEachLValueExpr(Expr *E);
ExprResult ActOnCaseExpr(SourceLocation CaseLoc, ExprResult Val);
StmtResult ActOnCaseStmt(SourceLocation CaseLoc, ExprResult LHS,
SourceLocation DotDotDotLoc, ExprResult RHS,
SourceLocation ColonLoc);
void ActOnCaseStmtBody(Stmt *CaseStmt, Stmt *SubStmt);
StmtResult ActOnDefaultStmt(SourceLocation DefaultLoc,
SourceLocation ColonLoc,
Stmt *SubStmt, Scope *CurScope);
StmtResult ActOnLabelStmt(SourceLocation IdentLoc, LabelDecl *TheDecl,
SourceLocation ColonLoc, Stmt *SubStmt);
StmtResult ActOnAttributedStmt(SourceLocation AttrLoc,
ArrayRef<const Attr*> Attrs,
Stmt *SubStmt);
class ConditionResult;
StmtResult ActOnIfStmt(SourceLocation IfLoc, bool IsConstexpr,
Stmt *InitStmt,
ConditionResult Cond, Stmt *ThenVal,
SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult BuildIfStmt(SourceLocation IfLoc, bool IsConstexpr,
Stmt *InitStmt,
ConditionResult Cond, Stmt *ThenVal,
SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult ActOnStartOfSwitchStmt(SourceLocation SwitchLoc,
Stmt *InitStmt,
ConditionResult Cond);
StmtResult ActOnFinishSwitchStmt(SourceLocation SwitchLoc,
Stmt *Switch, Stmt *Body);
StmtResult ActOnWhileStmt(SourceLocation WhileLoc, ConditionResult Cond,
Stmt *Body);
StmtResult ActOnDoStmt(SourceLocation DoLoc, Stmt *Body,
SourceLocation WhileLoc, SourceLocation CondLParen,
Expr *Cond, SourceLocation CondRParen);
StmtResult ActOnForStmt(SourceLocation ForLoc,
SourceLocation LParenLoc,
Stmt *First,
ConditionResult Second,
FullExprArg Third,
SourceLocation RParenLoc,
Stmt *Body);
ExprResult CheckObjCForCollectionOperand(SourceLocation forLoc,
Expr *collection);
StmtResult ActOnObjCForCollectionStmt(SourceLocation ForColLoc,
Stmt *First, Expr *collection,
SourceLocation RParenLoc);
StmtResult FinishObjCForCollectionStmt(Stmt *ForCollection, Stmt *Body);
enum BuildForRangeKind {
/// Initial building of a for-range statement.
BFRK_Build,
/// Instantiation or recovery rebuild of a for-range statement. Don't
/// attempt any typo-correction.
BFRK_Rebuild,
/// Determining whether a for-range statement could be built. Avoid any
/// unnecessary or irreversible actions.
BFRK_Check
};
StmtResult ActOnCXXForRangeStmt(Scope *S, SourceLocation ForLoc,
SourceLocation CoawaitLoc,
Stmt *InitStmt,
Stmt *LoopVar,
SourceLocation ColonLoc, Expr *Collection,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult BuildCXXForRangeStmt(SourceLocation ForLoc,
SourceLocation CoawaitLoc,
Stmt *InitStmt,
SourceLocation ColonLoc,
Stmt *RangeDecl, Stmt *Begin, Stmt *End,
Expr *Cond, Expr *Inc,
Stmt *LoopVarDecl,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult FinishCXXForRangeStmt(Stmt *ForRange, Stmt *Body);
StmtResult ActOnGotoStmt(SourceLocation GotoLoc,
SourceLocation LabelLoc,
LabelDecl *TheDecl);
StmtResult ActOnIndirectGotoStmt(SourceLocation GotoLoc,
SourceLocation StarLoc,
Expr *DestExp);
StmtResult ActOnContinueStmt(SourceLocation ContinueLoc, Scope *CurScope);
StmtResult ActOnBreakStmt(SourceLocation BreakLoc, Scope *CurScope);
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind, unsigned NumParams);
typedef std::pair<StringRef, QualType> CapturedParamNameType;
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind,
ArrayRef<CapturedParamNameType> Params,
unsigned OpenMPCaptureLevel = 0);
StmtResult ActOnCapturedRegionEnd(Stmt *S);
void ActOnCapturedRegionError();
RecordDecl *CreateCapturedStmtRecordDecl(CapturedDecl *&CD,
SourceLocation Loc,
unsigned NumParams);
enum CopyElisionSemanticsKind {
CES_Strict = 0,
CES_AllowParameters = 1,
CES_AllowDifferentTypes = 2,
CES_AllowExceptionVariables = 4,
CES_FormerDefault = (CES_AllowParameters),
CES_Default = (CES_AllowParameters | CES_AllowDifferentTypes),
CES_AsIfByStdMove = (CES_AllowParameters | CES_AllowDifferentTypes |
CES_AllowExceptionVariables),
};
VarDecl *getCopyElisionCandidate(QualType ReturnType, Expr *E,
CopyElisionSemanticsKind CESK);
bool isCopyElisionCandidate(QualType ReturnType, const VarDecl *VD,
CopyElisionSemanticsKind CESK);
StmtResult ActOnReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp,
Scope *CurScope);
StmtResult BuildReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnCapScopeReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnGCCAsmStmt(SourceLocation AsmLoc, bool IsSimple,
bool IsVolatile, unsigned NumOutputs,
unsigned NumInputs, IdentifierInfo **Names,
MultiExprArg Constraints, MultiExprArg Exprs,
Expr *AsmString, MultiExprArg Clobbers,
unsigned NumLabels,
SourceLocation RParenLoc);
void FillInlineAsmIdentifierInfo(Expr *Res,
llvm::InlineAsmIdentifierInfo &Info);
ExprResult LookupInlineAsmIdentifier(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Id,
bool IsUnevaluatedContext);
bool LookupInlineAsmField(StringRef Base, StringRef Member,
unsigned &Offset, SourceLocation AsmLoc);
ExprResult LookupInlineAsmVarDeclField(Expr *RefExpr, StringRef Member,
SourceLocation AsmLoc);
StmtResult ActOnMSAsmStmt(SourceLocation AsmLoc, SourceLocation LBraceLoc,
ArrayRef<Token> AsmToks,
StringRef AsmString,
unsigned NumOutputs, unsigned NumInputs,
ArrayRef<StringRef> Constraints,
ArrayRef<StringRef> Clobbers,
ArrayRef<Expr*> Exprs,
SourceLocation EndLoc);
LabelDecl *GetOrCreateMSAsmLabel(StringRef ExternalLabelName,
SourceLocation Location,
bool AlwaysCreate);
VarDecl *BuildObjCExceptionDecl(TypeSourceInfo *TInfo, QualType ExceptionType,
SourceLocation StartLoc,
SourceLocation IdLoc, IdentifierInfo *Id,
bool Invalid = false);
Decl *ActOnObjCExceptionDecl(Scope *S, Declarator &D);
StmtResult ActOnObjCAtCatchStmt(SourceLocation AtLoc, SourceLocation RParen,
Decl *Parm, Stmt *Body);
StmtResult ActOnObjCAtFinallyStmt(SourceLocation AtLoc, Stmt *Body);
StmtResult ActOnObjCAtTryStmt(SourceLocation AtLoc, Stmt *Try,
MultiStmtArg Catch, Stmt *Finally);
StmtResult BuildObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw);
StmtResult ActOnObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw,
Scope *CurScope);
ExprResult ActOnObjCAtSynchronizedOperand(SourceLocation atLoc,
Expr *operand);
StmtResult ActOnObjCAtSynchronizedStmt(SourceLocation AtLoc,
Expr *SynchExpr,
Stmt *SynchBody);
StmtResult ActOnObjCAutoreleasePoolStmt(SourceLocation AtLoc, Stmt *Body);
VarDecl *BuildExceptionDeclaration(Scope *S, TypeSourceInfo *TInfo,
SourceLocation StartLoc,
SourceLocation IdLoc,
IdentifierInfo *Id);
Decl *ActOnExceptionDeclarator(Scope *S, Declarator &D);
StmtResult ActOnCXXCatchBlock(SourceLocation CatchLoc,
Decl *ExDecl, Stmt *HandlerBlock);
StmtResult ActOnCXXTryBlock(SourceLocation TryLoc, Stmt *TryBlock,
ArrayRef<Stmt *> Handlers);
StmtResult ActOnSEHTryBlock(bool IsCXXTry, // try (true) or __try (false) ?
SourceLocation TryLoc, Stmt *TryBlock,
Stmt *Handler);
StmtResult ActOnSEHExceptBlock(SourceLocation Loc,
Expr *FilterExpr,
Stmt *Block);
void ActOnStartSEHFinallyBlock();
void ActOnAbortSEHFinallyBlock();
StmtResult ActOnFinishSEHFinallyBlock(SourceLocation Loc, Stmt *Block);
StmtResult ActOnSEHLeaveStmt(SourceLocation Loc, Scope *CurScope);
void DiagnoseReturnInConstructorExceptionHandler(CXXTryStmt *TryBlock);
bool ShouldWarnIfUnusedFileScopedDecl(const DeclaratorDecl *D) const;
/// If it's a file scoped decl that must warn if not used, keep track
/// of it.
void MarkUnusedFileScopedDecl(const DeclaratorDecl *D);
/// DiagnoseUnusedExprResult - If the statement passed in is an expression
/// whose result is unused, warn.
void DiagnoseUnusedExprResult(const Stmt *S);
void DiagnoseUnusedNestedTypedefs(const RecordDecl *D);
void DiagnoseUnusedDecl(const NamedDecl *ND);
/// Emit \p DiagID if statement located on \p StmtLoc has a suspicious null
/// statement as a \p Body, and it is located on the same line.
///
/// This helps prevent bugs due to typos, such as:
/// if (condition);
/// do_stuff();
void DiagnoseEmptyStmtBody(SourceLocation StmtLoc,
const Stmt *Body,
unsigned DiagID);
/// Warn if a for/while loop statement \p S, which is followed by
/// \p PossibleBody, has a suspicious null statement as a body.
void DiagnoseEmptyLoopBody(const Stmt *S,
const Stmt *PossibleBody);
/// Warn if a value is moved to itself.
void DiagnoseSelfMove(const Expr *LHSExpr, const Expr *RHSExpr,
SourceLocation OpLoc);
/// Warn if we're implicitly casting from a _Nullable pointer type to a
/// _Nonnull one.
void diagnoseNullableToNonnullConversion(QualType DstType, QualType SrcType,
SourceLocation Loc);
/// Warn when implicitly casting 0 to nullptr.
void diagnoseZeroToNullptrConversion(CastKind Kind, const Expr *E);
ParsingDeclState PushParsingDeclaration(sema::DelayedDiagnosticPool &pool) {
return DelayedDiagnostics.push(pool);
}
void PopParsingDeclaration(ParsingDeclState state, Decl *decl);
typedef ProcessingContextState ParsingClassState;
ParsingClassState PushParsingClass() {
ParsingClassDepth++;
return DelayedDiagnostics.pushUndelayed();
}
void PopParsingClass(ParsingClassState state) {
ParsingClassDepth--;
DelayedDiagnostics.popUndelayed(state);
}
void redelayDiagnostics(sema::DelayedDiagnosticPool &pool);
void DiagnoseAvailabilityOfDecl(NamedDecl *D, ArrayRef<SourceLocation> Locs,
const ObjCInterfaceDecl *UnknownObjCClass,
bool ObjCPropertyAccess,
bool AvoidPartialAvailabilityChecks = false,
ObjCInterfaceDecl *ClassReceiver = nullptr);
bool makeUnavailableInSystemHeader(SourceLocation loc,
UnavailableAttr::ImplicitReason reason);
/// Issue any -Wunguarded-availability warnings in \c FD
void DiagnoseUnguardedAvailabilityViolations(Decl *FD);
//===--------------------------------------------------------------------===//
// Expression Parsing Callbacks: SemaExpr.cpp.
bool CanUseDecl(NamedDecl *D, bool TreatUnavailableAsInvalid);
bool DiagnoseUseOfDecl(NamedDecl *D, ArrayRef<SourceLocation> Locs,
const ObjCInterfaceDecl *UnknownObjCClass = nullptr,
bool ObjCPropertyAccess = false,
bool AvoidPartialAvailabilityChecks = false,
ObjCInterfaceDecl *ClassReciever = nullptr);
void NoteDeletedFunction(FunctionDecl *FD);
void NoteDeletedInheritingConstructor(CXXConstructorDecl *CD);
bool DiagnosePropertyAccessorMismatch(ObjCPropertyDecl *PD,
ObjCMethodDecl *Getter,
SourceLocation Loc);
void DiagnoseSentinelCalls(NamedDecl *D, SourceLocation Loc,
ArrayRef<Expr *> Args);
void PushExpressionEvaluationContext(
ExpressionEvaluationContext NewContext, Decl *LambdaContextDecl = nullptr,
ExpressionEvaluationContextRecord::ExpressionKind Type =
ExpressionEvaluationContextRecord::EK_Other);
enum ReuseLambdaContextDecl_t { ReuseLambdaContextDecl };
void PushExpressionEvaluationContext(
ExpressionEvaluationContext NewContext, ReuseLambdaContextDecl_t,
ExpressionEvaluationContextRecord::ExpressionKind Type =
ExpressionEvaluationContextRecord::EK_Other);
void PopExpressionEvaluationContext();
void DiscardCleanupsInEvaluationContext();
ExprResult TransformToPotentiallyEvaluated(Expr *E);
ExprResult HandleExprEvaluationContextForTypeof(Expr *E);
ExprResult CheckUnevaluatedOperand(Expr *E);
void CheckUnusedVolatileAssignment(Expr *E);
ExprResult ActOnConstantExpression(ExprResult Res);
// Functions for marking a declaration referenced. These functions also
// contain the relevant logic for marking if a reference to a function or
// variable is an odr-use (in the C++11 sense). There are separate variants
// for expressions referring to a decl; these exist because odr-use marking
// needs to be delayed for some constant variables when we build one of the
// named expressions.
//
// MightBeOdrUse indicates whether the use could possibly be an odr-use, and
// should usually be true. This only needs to be set to false if the lack of
// odr-use cannot be determined from the current context (for instance,
// because the name denotes a virtual function and was written without an
// explicit nested-name-specifier).
void MarkAnyDeclReferenced(SourceLocation Loc, Decl *D, bool MightBeOdrUse);
void MarkFunctionReferenced(SourceLocation Loc, FunctionDecl *Func,
bool MightBeOdrUse = true);
void MarkVariableReferenced(SourceLocation Loc, VarDecl *Var);
void MarkDeclRefReferenced(DeclRefExpr *E, const Expr *Base = nullptr);
void MarkMemberReferenced(MemberExpr *E);
void MarkFunctionParmPackReferenced(FunctionParmPackExpr *E);
void MarkCaptureUsedInEnclosingContext(VarDecl *Capture, SourceLocation Loc,
unsigned CapturingScopeIndex);
ExprResult CheckLValueToRValueConversionOperand(Expr *E);
void CleanupVarDeclMarking();
enum TryCaptureKind {
TryCapture_Implicit, TryCapture_ExplicitByVal, TryCapture_ExplicitByRef
};
/// Try to capture the given variable.
///
/// \param Var The variable to capture.
///
/// \param Loc The location at which the capture occurs.
///
/// \param Kind The kind of capture, which may be implicit (for either a
/// block or a lambda), or explicit by-value or by-reference (for a lambda).
///
/// \param EllipsisLoc The location of the ellipsis, if one is provided in
/// an explicit lambda capture.
///
/// \param BuildAndDiagnose Whether we are actually supposed to add the
/// captures or diagnose errors. If false, this routine merely check whether
/// the capture can occur without performing the capture itself or complaining
/// if the variable cannot be captured.
///
/// \param CaptureType Will be set to the type of the field used to capture
/// this variable in the innermost block or lambda. Only valid when the
/// variable can be captured.
///
/// \param DeclRefType Will be set to the type of a reference to the capture
/// from within the current scope. Only valid when the variable can be
/// captured.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// variables that may or may not be used in certain specializations of
/// a nested generic lambda.
///
/// \returns true if an error occurred (i.e., the variable cannot be
/// captured) and false if the capture succeeded.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc, TryCaptureKind Kind,
SourceLocation EllipsisLoc, bool BuildAndDiagnose,
QualType &CaptureType,
QualType &DeclRefType,
const unsigned *const FunctionScopeIndexToStopAt);
/// Try to capture the given variable.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc,
TryCaptureKind Kind = TryCapture_Implicit,
SourceLocation EllipsisLoc = SourceLocation());
/// Checks if the variable must be captured.
bool NeedToCaptureVariable(VarDecl *Var, SourceLocation Loc);
/// Given a variable, determine the type that a reference to that
/// variable will have in the given scope.
QualType getCapturedDeclRefType(VarDecl *Var, SourceLocation Loc);
/// Mark all of the declarations referenced within a particular AST node as
/// referenced. Used when template instantiation instantiates a non-dependent
/// type -- entities referenced by the type are now referenced.
void MarkDeclarationsReferencedInType(SourceLocation Loc, QualType T);
void MarkDeclarationsReferencedInExpr(Expr *E,
bool SkipLocalVariables = false);
/// Try to recover by turning the given expression into a
/// call. Returns true if recovery was attempted or an error was
/// emitted; this may also leave the ExprResult invalid.
bool tryToRecoverWithCall(ExprResult &E, const PartialDiagnostic &PD,
bool ForceComplain = false,
bool (*IsPlausibleResult)(QualType) = nullptr);
/// Figure out if an expression could be turned into a call.
bool tryExprAsCall(Expr &E, QualType &ZeroArgCallReturnTy,
UnresolvedSetImpl &NonTemplateOverloads);
/// Conditionally issue a diagnostic based on the current
/// evaluation context.
///
/// \param Statement If Statement is non-null, delay reporting the
/// diagnostic until the function body is parsed, and then do a basic
/// reachability analysis to determine if the statement is reachable.
/// If it is unreachable, the diagnostic will not be emitted.
bool DiagRuntimeBehavior(SourceLocation Loc, const Stmt *Statement,
const PartialDiagnostic &PD);
/// Similar, but diagnostic is only produced if all the specified statements
/// are reachable.
bool DiagRuntimeBehavior(SourceLocation Loc, ArrayRef<const Stmt*> Stmts,
const PartialDiagnostic &PD);
// Primary Expressions.
SourceRange getExprRange(Expr *E) const;
ExprResult ActOnIdExpression(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
UnqualifiedId &Id, bool HasTrailingLParen, bool IsAddressOfOperand,
CorrectionCandidateCallback *CCC = nullptr,
bool IsInlineAsmIdentifier = false, Token *KeywordReplacement = nullptr);
void DecomposeUnqualifiedId(const UnqualifiedId &Id,
TemplateArgumentListInfo &Buffer,
DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *&TemplateArgs);
bool
DiagnoseEmptyLookup(Scope *S, CXXScopeSpec &SS, LookupResult &R,
CorrectionCandidateCallback &CCC,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
ArrayRef<Expr *> Args = None, TypoExpr **Out = nullptr);
DeclResult LookupIvarInObjCMethod(LookupResult &Lookup, Scope *S,
IdentifierInfo *II);
ExprResult BuildIvarRefExpr(Scope *S, SourceLocation Loc, ObjCIvarDecl *IV);
ExprResult LookupInObjCMethod(LookupResult &LookUp, Scope *S,
IdentifierInfo *II,
bool AllowBuiltinCreation=false);
ExprResult ActOnDependentIdExpression(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
bool isAddressOfOperand,
const TemplateArgumentListInfo *TemplateArgs);
/// If \p D cannot be odr-used in the current expression evaluation context,
/// return a reason explaining why. Otherwise, return NOUR_None.
NonOdrUseReason getNonOdrUseReasonInCurrentContext(ValueDecl *D);
DeclRefExpr *BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
SourceLocation Loc,
const CXXScopeSpec *SS = nullptr);
DeclRefExpr *
BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
const DeclarationNameInfo &NameInfo,
const CXXScopeSpec *SS = nullptr,
NamedDecl *FoundD = nullptr,
SourceLocation TemplateKWLoc = SourceLocation(),
const TemplateArgumentListInfo *TemplateArgs = nullptr);
DeclRefExpr *
BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
const DeclarationNameInfo &NameInfo,
NestedNameSpecifierLoc NNS,
NamedDecl *FoundD = nullptr,
SourceLocation TemplateKWLoc = SourceLocation(),
const TemplateArgumentListInfo *TemplateArgs = nullptr);
ExprResult
BuildAnonymousStructUnionMemberReference(
const CXXScopeSpec &SS,
SourceLocation nameLoc,
IndirectFieldDecl *indirectField,
DeclAccessPair FoundDecl = DeclAccessPair::make(nullptr, AS_none),
Expr *baseObjectExpr = nullptr,
SourceLocation opLoc = SourceLocation());
ExprResult BuildPossibleImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S);
ExprResult BuildImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
bool IsDefiniteInstance,
const Scope *S);
bool UseArgumentDependentLookup(const CXXScopeSpec &SS,
const LookupResult &R,
bool HasTrailingLParen);
ExprResult
BuildQualifiedDeclarationNameExpr(CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
bool IsAddressOfOperand, const Scope *S,
TypeSourceInfo **RecoveryTSI = nullptr);
ExprResult BuildDependentDeclRefExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildDeclarationNameExpr(const CXXScopeSpec &SS,
LookupResult &R,
bool NeedsADL,
bool AcceptInvalidDecl = false);
ExprResult BuildDeclarationNameExpr(
const CXXScopeSpec &SS, const DeclarationNameInfo &NameInfo, NamedDecl *D,
NamedDecl *FoundD = nullptr,
const TemplateArgumentListInfo *TemplateArgs = nullptr,
bool AcceptInvalidDecl = false);
ExprResult BuildLiteralOperatorCall(LookupResult &R,
DeclarationNameInfo &SuffixInfo,
ArrayRef<Expr *> Args,
SourceLocation LitEndLoc,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr);
ExprResult BuildPredefinedExpr(SourceLocation Loc,
PredefinedExpr::IdentKind IK);
ExprResult ActOnPredefinedExpr(SourceLocation Loc, tok::TokenKind Kind);
ExprResult ActOnIntegerConstant(SourceLocation Loc, uint64_t Val);
bool CheckLoopHintExpr(Expr *E, SourceLocation Loc);
ExprResult ActOnNumericConstant(const Token &Tok, Scope *UDLScope = nullptr);
ExprResult ActOnCharacterConstant(const Token &Tok,
Scope *UDLScope = nullptr);
ExprResult ActOnParenExpr(SourceLocation L, SourceLocation R, Expr *E);
ExprResult ActOnParenListExpr(SourceLocation L,
SourceLocation R,
MultiExprArg Val);
/// ActOnStringLiteral - The specified tokens were lexed as pasted string
/// fragments (e.g. "foo" "bar" L"baz").
ExprResult ActOnStringLiteral(ArrayRef<Token> StringToks,
Scope *UDLScope = nullptr);
ExprResult ActOnGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<ParsedType> ArgTypes,
ArrayRef<Expr *> ArgExprs);
ExprResult CreateGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<TypeSourceInfo *> Types,
ArrayRef<Expr *> Exprs);
// Binary/Unary Operators. 'Tok' is the token for the operator.
ExprResult CreateBuiltinUnaryOp(SourceLocation OpLoc, UnaryOperatorKind Opc,
Expr *InputExpr);
ExprResult BuildUnaryOp(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opc, Expr *Input);
ExprResult ActOnUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Op, Expr *Input);
bool isQualifiedMemberAccess(Expr *E);
QualType CheckAddressOfOperand(ExprResult &Operand, SourceLocation OpLoc);
ExprResult CreateUnaryExprOrTypeTraitExpr(TypeSourceInfo *TInfo,
SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
SourceRange R);
ExprResult CreateUnaryExprOrTypeTraitExpr(Expr *E, SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind);
ExprResult
ActOnUnaryExprOrTypeTraitExpr(SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
bool IsType, void *TyOrEx,
SourceRange ArgRange);
ExprResult CheckPlaceholderExpr(Expr *E);
bool CheckVecStepExpr(Expr *E);
bool CheckUnaryExprOrTypeTraitOperand(Expr *E, UnaryExprOrTypeTrait ExprKind);
bool CheckUnaryExprOrTypeTraitOperand(QualType ExprType, SourceLocation OpLoc,
SourceRange ExprRange,
UnaryExprOrTypeTrait ExprKind);
ExprResult ActOnSizeofParameterPackExpr(Scope *S,
SourceLocation OpLoc,
IdentifierInfo &Name,
SourceLocation NameLoc,
SourceLocation RParenLoc);
ExprResult ActOnPostfixUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Kind, Expr *Input);
ExprResult ActOnArraySubscriptExpr(Scope *S, Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult CreateBuiltinArraySubscriptExpr(Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult ActOnOMPArraySectionExpr(Expr *Base, SourceLocation LBLoc,
Expr *LowerBound, SourceLocation ColonLoc,
Expr *Length, SourceLocation RBLoc);
// This struct is for use by ActOnMemberAccess to allow
// BuildMemberReferenceExpr to be able to reinvoke ActOnMemberAccess after
// changing the access operator from a '.' to a '->' (to see if that is the
// change needed to fix an error about an unknown member, e.g. when the class
// defines a custom operator->).
struct ActOnMemberAccessExtraArgs {
Scope *S;
UnqualifiedId &Id;
Decl *ObjCImpDecl;
};
ExprResult BuildMemberReferenceExpr(
Expr *Base, QualType BaseType, SourceLocation OpLoc, bool IsArrow,
CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult
BuildMemberReferenceExpr(Expr *Base, QualType BaseType, SourceLocation OpLoc,
bool IsArrow, const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
bool SuppressQualifierCheck = false,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult BuildFieldReferenceExpr(Expr *BaseExpr, bool IsArrow,
SourceLocation OpLoc,
const CXXScopeSpec &SS, FieldDecl *Field,
DeclAccessPair FoundDecl,
const DeclarationNameInfo &MemberNameInfo);
ExprResult PerformMemberExprBaseConversion(Expr *Base, bool IsArrow);
bool CheckQualifiedMemberReference(Expr *BaseExpr, QualType BaseType,
const CXXScopeSpec &SS,
const LookupResult &R);
ExprResult ActOnDependentMemberExpr(Expr *Base, QualType BaseType,
bool IsArrow, SourceLocation OpLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult ActOnMemberAccessExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Member,
Decl *ObjCImpDecl);
MemberExpr *
BuildMemberExpr(Expr *Base, bool IsArrow, SourceLocation OpLoc,
const CXXScopeSpec *SS, SourceLocation TemplateKWLoc,
ValueDecl *Member, DeclAccessPair FoundDecl,
bool HadMultipleCandidates,
const DeclarationNameInfo &MemberNameInfo, QualType Ty,
ExprValueKind VK, ExprObjectKind OK,
const TemplateArgumentListInfo *TemplateArgs = nullptr);
MemberExpr *
BuildMemberExpr(Expr *Base, bool IsArrow, SourceLocation OpLoc,
NestedNameSpecifierLoc NNS, SourceLocation TemplateKWLoc,
ValueDecl *Member, DeclAccessPair FoundDecl,
bool HadMultipleCandidates,
const DeclarationNameInfo &MemberNameInfo, QualType Ty,
ExprValueKind VK, ExprObjectKind OK,
const TemplateArgumentListInfo *TemplateArgs = nullptr);
void ActOnDefaultCtorInitializers(Decl *CDtorDecl);
bool ConvertArgumentsForCall(CallExpr *Call, Expr *Fn,
FunctionDecl *FDecl,
const FunctionProtoType *Proto,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
bool ExecConfig = false);
void CheckStaticArrayArgument(SourceLocation CallLoc,
ParmVarDecl *Param,
const Expr *ArgExpr);
/// ActOnCallExpr - Handle a call to Fn with the specified array of arguments.
/// This provides the location of the left/right parens and a list of comma
/// locations.
ExprResult ActOnCallExpr(Scope *S, Expr *Fn, SourceLocation LParenLoc,
MultiExprArg ArgExprs, SourceLocation RParenLoc,
Expr *ExecConfig = nullptr);
ExprResult BuildCallExpr(Scope *S, Expr *Fn, SourceLocation LParenLoc,
MultiExprArg ArgExprs, SourceLocation RParenLoc,
Expr *ExecConfig = nullptr,
bool IsExecConfig = false);
enum class AtomicArgumentOrder { API, AST };
ExprResult
BuildAtomicExpr(SourceRange CallRange, SourceRange ExprRange,
SourceLocation RParenLoc, MultiExprArg Args,
AtomicExpr::AtomicOp Op,
AtomicArgumentOrder ArgOrder = AtomicArgumentOrder::API);
ExprResult
BuildResolvedCallExpr(Expr *Fn, NamedDecl *NDecl, SourceLocation LParenLoc,
ArrayRef<Expr *> Arg, SourceLocation RParenLoc,
Expr *Config = nullptr, bool IsExecConfig = false,
ADLCallKind UsesADL = ADLCallKind::NotADL);
ExprResult ActOnCUDAExecConfigExpr(Scope *S, SourceLocation LLLLoc,
MultiExprArg ExecConfig,
SourceLocation GGGLoc);
ExprResult ActOnCastExpr(Scope *S, SourceLocation LParenLoc,
Declarator &D, ParsedType &Ty,
SourceLocation RParenLoc, Expr *CastExpr);
ExprResult BuildCStyleCastExpr(SourceLocation LParenLoc,
TypeSourceInfo *Ty,
SourceLocation RParenLoc,
Expr *Op);
CastKind PrepareScalarCast(ExprResult &src, QualType destType);
/// Build an altivec or OpenCL literal.
ExprResult BuildVectorLiteral(SourceLocation LParenLoc,
SourceLocation RParenLoc, Expr *E,
TypeSourceInfo *TInfo);
ExprResult MaybeConvertParenListExprToParenExpr(Scope *S, Expr *ME);
ExprResult ActOnCompoundLiteral(SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc,
Expr *InitExpr);
ExprResult BuildCompoundLiteralExpr(SourceLocation LParenLoc,
TypeSourceInfo *TInfo,
SourceLocation RParenLoc,
Expr *LiteralExpr);
ExprResult ActOnInitList(SourceLocation LBraceLoc,
MultiExprArg InitArgList,
SourceLocation RBraceLoc);
ExprResult BuildInitList(SourceLocation LBraceLoc,
MultiExprArg InitArgList,
SourceLocation RBraceLoc);
ExprResult ActOnDesignatedInitializer(Designation &Desig,
SourceLocation EqualOrColonLoc,
bool GNUSyntax,
ExprResult Init);
private:
static BinaryOperatorKind ConvertTokenKindToBinaryOpcode(tok::TokenKind Kind);
public:
ExprResult ActOnBinOp(Scope *S, SourceLocation TokLoc,
tok::TokenKind Kind, Expr *LHSExpr, Expr *RHSExpr);
ExprResult BuildBinOp(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opc, Expr *LHSExpr, Expr *RHSExpr);
ExprResult CreateBuiltinBinOp(SourceLocation OpLoc, BinaryOperatorKind Opc,
Expr *LHSExpr, Expr *RHSExpr);
void DiagnoseCommaOperator(const Expr *LHS, SourceLocation Loc);
/// ActOnConditionalOp - Parse a ?: operation. Note that 'LHS' may be null
/// in the case of a the GNU conditional expr extension.
ExprResult ActOnConditionalOp(SourceLocation QuestionLoc,
SourceLocation ColonLoc,
Expr *CondExpr, Expr *LHSExpr, Expr *RHSExpr);
/// ActOnAddrLabel - Parse the GNU address of label extension: "&&foo".
ExprResult ActOnAddrLabel(SourceLocation OpLoc, SourceLocation LabLoc,
LabelDecl *TheDecl);
void ActOnStartStmtExpr();
ExprResult ActOnStmtExpr(SourceLocation LPLoc, Stmt *SubStmt,
SourceLocation RPLoc); // "({..})"
// Handle the final expression in a statement expression.
ExprResult ActOnStmtExprResult(ExprResult E);
void ActOnStmtExprError();
// __builtin_offsetof(type, identifier(.identifier|[expr])*)
struct OffsetOfComponent {
SourceLocation LocStart, LocEnd;
bool isBrackets; // true if [expr], false if .ident
union {
IdentifierInfo *IdentInfo;
Expr *E;
} U;
};
/// __builtin_offsetof(type, a.b[123][456].c)
ExprResult BuildBuiltinOffsetOf(SourceLocation BuiltinLoc,
TypeSourceInfo *TInfo,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
ExprResult ActOnBuiltinOffsetOf(Scope *S,
SourceLocation BuiltinLoc,
SourceLocation TypeLoc,
ParsedType ParsedArgTy,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
// __builtin_choose_expr(constExpr, expr1, expr2)
ExprResult ActOnChooseExpr(SourceLocation BuiltinLoc,
Expr *CondExpr, Expr *LHSExpr,
Expr *RHSExpr, SourceLocation RPLoc);
// __builtin_va_arg(expr, type)
ExprResult ActOnVAArg(SourceLocation BuiltinLoc, Expr *E, ParsedType Ty,
SourceLocation RPLoc);
ExprResult BuildVAArgExpr(SourceLocation BuiltinLoc, Expr *E,
TypeSourceInfo *TInfo, SourceLocation RPLoc);
// __builtin_LINE(), __builtin_FUNCTION(), __builtin_FILE(),
// __builtin_COLUMN()
ExprResult ActOnSourceLocExpr(SourceLocExpr::IdentKind Kind,
SourceLocation BuiltinLoc,
SourceLocation RPLoc);
// Build a potentially resolved SourceLocExpr.
ExprResult BuildSourceLocExpr(SourceLocExpr::IdentKind Kind,
SourceLocation BuiltinLoc, SourceLocation RPLoc,
DeclContext *ParentContext);
// __null
ExprResult ActOnGNUNullExpr(SourceLocation TokenLoc);
bool CheckCaseExpression(Expr *E);
/// Describes the result of an "if-exists" condition check.
enum IfExistsResult {
/// The symbol exists.
IER_Exists,
/// The symbol does not exist.
IER_DoesNotExist,
/// The name is a dependent name, so the results will differ
/// from one instantiation to the next.
IER_Dependent,
/// An error occurred.
IER_Error
};
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, CXXScopeSpec &SS,
const DeclarationNameInfo &TargetNameInfo);
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, SourceLocation KeywordLoc,
bool IsIfExists, CXXScopeSpec &SS,
UnqualifiedId &Name);
StmtResult BuildMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
NestedNameSpecifierLoc QualifierLoc,
DeclarationNameInfo NameInfo,
Stmt *Nested);
StmtResult ActOnMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
CXXScopeSpec &SS, UnqualifiedId &Name,
Stmt *Nested);
//===------------------------- "Block" Extension ------------------------===//
/// ActOnBlockStart - This callback is invoked when a block literal is
/// started.
void ActOnBlockStart(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockArguments - This callback allows processing of block arguments.
/// If there are no arguments, this is still invoked.
void ActOnBlockArguments(SourceLocation CaretLoc, Declarator &ParamInfo,
Scope *CurScope);
/// ActOnBlockError - If there is an error parsing a block, this callback
/// is invoked to pop the information about the block from the action impl.
void ActOnBlockError(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockStmtExpr - This is called when the body of a block statement
/// literal was successfully completed. ^(int x){...}
ExprResult ActOnBlockStmtExpr(SourceLocation CaretLoc, Stmt *Body,
Scope *CurScope);
//===---------------------------- Clang Extensions ----------------------===//
/// __builtin_convertvector(...)
ExprResult ActOnConvertVectorExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- OpenCL Features -----------------------===//
/// __builtin_astype(...)
ExprResult ActOnAsTypeExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- C++ Features --------------------------===//
// Act on C++ namespaces
Decl *ActOnStartNamespaceDef(Scope *S, SourceLocation InlineLoc,
SourceLocation NamespaceLoc,
SourceLocation IdentLoc, IdentifierInfo *Ident,
SourceLocation LBrace,
const ParsedAttributesView &AttrList,
UsingDirectiveDecl *&UsingDecl);
void ActOnFinishNamespaceDef(Decl *Dcl, SourceLocation RBrace);
NamespaceDecl *getStdNamespace() const;
NamespaceDecl *getOrCreateStdNamespace();
NamespaceDecl *lookupStdExperimentalNamespace();
CXXRecordDecl *getStdBadAlloc() const;
EnumDecl *getStdAlignValT() const;
private:
// A cache representing if we've fully checked the various comparison category
// types stored in ASTContext. The bit-index corresponds to the integer value
// of a ComparisonCategoryType enumerator.
llvm::SmallBitVector FullyCheckedComparisonCategories;
ValueDecl *tryLookupCtorInitMemberDecl(CXXRecordDecl *ClassDecl,
CXXScopeSpec &SS,
ParsedType TemplateTypeTy,
IdentifierInfo *MemberOrBase);
public:
enum class ComparisonCategoryUsage {
/// The '<=>' operator was used in an expression and a builtin operator
/// was selected.
OperatorInExpression,
/// A defaulted 'operator<=>' needed the comparison category. This
/// typically only applies to 'std::strong_ordering', due to the implicit
/// fallback return value.
DefaultedOperator,
};
/// Lookup the specified comparison category types in the standard
/// library, an check the VarDecls possibly returned by the operator<=>
/// builtins for that type.
///
/// \return The type of the comparison category type corresponding to the
/// specified Kind, or a null type if an error occurs
QualType CheckComparisonCategoryType(ComparisonCategoryType Kind,
SourceLocation Loc,
ComparisonCategoryUsage Usage);
/// Tests whether Ty is an instance of std::initializer_list and, if
/// it is and Element is not NULL, assigns the element type to Element.
bool isStdInitializerList(QualType Ty, QualType *Element);
/// Looks for the std::initializer_list template and instantiates it
/// with Element, or emits an error if it's not found.
///
/// \returns The instantiated template, or null on error.
QualType BuildStdInitializerList(QualType Element, SourceLocation Loc);
/// Determine whether Ctor is an initializer-list constructor, as
/// defined in [dcl.init.list]p2.
bool isInitListConstructor(const FunctionDecl *Ctor);
Decl *ActOnUsingDirective(Scope *CurScope, SourceLocation UsingLoc,
SourceLocation NamespcLoc, CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *NamespcName,
const ParsedAttributesView &AttrList);
void PushUsingDirective(Scope *S, UsingDirectiveDecl *UDir);
Decl *ActOnNamespaceAliasDef(Scope *CurScope,
SourceLocation NamespaceLoc,
SourceLocation AliasLoc,
IdentifierInfo *Alias,
CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *Ident);
void HideUsingShadowDecl(Scope *S, UsingShadowDecl *Shadow);
bool CheckUsingShadowDecl(UsingDecl *UD, NamedDecl *Target,
const LookupResult &PreviousDecls,
UsingShadowDecl *&PrevShadow);
UsingShadowDecl *BuildUsingShadowDecl(Scope *S, UsingDecl *UD,
NamedDecl *Target,
UsingShadowDecl *PrevDecl);
bool CheckUsingDeclRedeclaration(SourceLocation UsingLoc,
bool HasTypenameKeyword,
const CXXScopeSpec &SS,
SourceLocation NameLoc,
const LookupResult &Previous);
bool CheckUsingDeclQualifier(SourceLocation UsingLoc,
bool HasTypename,
const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
SourceLocation NameLoc);
NamedDecl *BuildUsingDeclaration(
Scope *S, AccessSpecifier AS, SourceLocation UsingLoc,
bool HasTypenameKeyword, SourceLocation TypenameLoc, CXXScopeSpec &SS,
DeclarationNameInfo NameInfo, SourceLocation EllipsisLoc,
const ParsedAttributesView &AttrList, bool IsInstantiation);
NamedDecl *BuildUsingPackDecl(NamedDecl *InstantiatedFrom,
ArrayRef<NamedDecl *> Expansions);
bool CheckInheritingConstructorUsingDecl(UsingDecl *UD);
/// Given a derived-class using shadow declaration for a constructor and the
/// correspnding base class constructor, find or create the implicit
/// synthesized derived class constructor to use for this initialization.
CXXConstructorDecl *
findInheritingConstructor(SourceLocation Loc, CXXConstructorDecl *BaseCtor,
ConstructorUsingShadowDecl *DerivedShadow);
Decl *ActOnUsingDeclaration(Scope *CurScope, AccessSpecifier AS,
SourceLocation UsingLoc,
SourceLocation TypenameLoc, CXXScopeSpec &SS,
UnqualifiedId &Name, SourceLocation EllipsisLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnAliasDeclaration(Scope *CurScope, AccessSpecifier AS,
MultiTemplateParamsArg TemplateParams,
SourceLocation UsingLoc, UnqualifiedId &Name,
const ParsedAttributesView &AttrList,
TypeResult Type, Decl *DeclFromDeclSpec);
/// BuildCXXConstructExpr - Creates a complete call to a constructor,
/// including handling of its default argument expressions.
///
/// \param ConstructKind - a CXXConstructExpr::ConstructionKind
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
/// Build a CXXConstructExpr whose constructor has already been resolved if
/// it denotes an inherited constructor.
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
// FIXME: Can we remove this and have the above BuildCXXConstructExpr check if
// the constructor can be elidable?
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs, bool HadMultipleCandidates,
bool IsListInitialization,
bool IsStdInitListInitialization, bool RequiresZeroInit,
unsigned ConstructKind, SourceRange ParenRange);
ExprResult BuildCXXDefaultInitExpr(SourceLocation Loc, FieldDecl *Field);
/// Instantiate or parse a C++ default argument expression as necessary.
/// Return true on error.
bool CheckCXXDefaultArgExpr(SourceLocation CallLoc, FunctionDecl *FD,
ParmVarDecl *Param);
/// BuildCXXDefaultArgExpr - Creates a CXXDefaultArgExpr, instantiating
/// the default expr if needed.
ExprResult BuildCXXDefaultArgExpr(SourceLocation CallLoc,
FunctionDecl *FD,
ParmVarDecl *Param);
/// FinalizeVarWithDestructor - Prepare for calling destructor on the
/// constructed variable.
void FinalizeVarWithDestructor(VarDecl *VD, const RecordType *DeclInitType);
/// Helper class that collects exception specifications for
/// implicitly-declared special member functions.
class ImplicitExceptionSpecification {
// Pointer to allow copying
Sema *Self;
// We order exception specifications thus:
// noexcept is the most restrictive, but is only used in C++11.
// throw() comes next.
// Then a throw(collected exceptions)
// Finally no specification, which is expressed as noexcept(false).
// throw(...) is used instead if any called function uses it.
ExceptionSpecificationType ComputedEST;
llvm::SmallPtrSet<CanQualType, 4> ExceptionsSeen;
SmallVector<QualType, 4> Exceptions;
void ClearExceptions() {
ExceptionsSeen.clear();
Exceptions.clear();
}
public:
explicit ImplicitExceptionSpecification(Sema &Self)
: Self(&Self), ComputedEST(EST_BasicNoexcept) {
if (!Self.getLangOpts().CPlusPlus11)
ComputedEST = EST_DynamicNone;
}
/// Get the computed exception specification type.
ExceptionSpecificationType getExceptionSpecType() const {
assert(!isComputedNoexcept(ComputedEST) &&
"noexcept(expr) should not be a possible result");
return ComputedEST;
}
/// The number of exceptions in the exception specification.
unsigned size() const { return Exceptions.size(); }
/// The set of exceptions in the exception specification.
const QualType *data() const { return Exceptions.data(); }
/// Integrate another called method into the collected data.
void CalledDecl(SourceLocation CallLoc, const CXXMethodDecl *Method);
/// Integrate an invoked expression into the collected data.
void CalledExpr(Expr *E) { CalledStmt(E); }
/// Integrate an invoked statement into the collected data.
void CalledStmt(Stmt *S);
/// Overwrite an EPI's exception specification with this
/// computed exception specification.
FunctionProtoType::ExceptionSpecInfo getExceptionSpec() const {
FunctionProtoType::ExceptionSpecInfo ESI;
ESI.Type = getExceptionSpecType();
if (ESI.Type == EST_Dynamic) {
ESI.Exceptions = Exceptions;
} else if (ESI.Type == EST_None) {
/// C++11 [except.spec]p14:
/// The exception-specification is noexcept(false) if the set of
/// potential exceptions of the special member function contains "any"
ESI.Type = EST_NoexceptFalse;
ESI.NoexceptExpr = Self->ActOnCXXBoolLiteral(SourceLocation(),
tok::kw_false).get();
}
return ESI;
}
};
/// Determine what sort of exception specification a defaulted
/// copy constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDefaultCtorExceptionSpec(SourceLocation Loc,
CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted
/// default constructor of a class will have, and whether the parameter
/// will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyCtorExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted
/// copy assignment operator of a class will have, and whether the
/// parameter will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyAssignmentExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted move
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveCtorExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted move
/// assignment operator of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveAssignmentExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted
/// destructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDtorExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification an inheriting
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeInheritingCtorExceptionSpec(SourceLocation Loc,
CXXConstructorDecl *CD);
/// Evaluate the implicit exception specification for a defaulted
/// special member function.
void EvaluateImplicitExceptionSpec(SourceLocation Loc, FunctionDecl *FD);
/// Check the given noexcept-specifier, convert its expression, and compute
/// the appropriate ExceptionSpecificationType.
ExprResult ActOnNoexceptSpec(SourceLocation NoexceptLoc, Expr *NoexceptExpr,
ExceptionSpecificationType &EST);
/// Check the given exception-specification and update the
/// exception specification information with the results.
void checkExceptionSpecification(bool IsTopLevel,
ExceptionSpecificationType EST,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr,
SmallVectorImpl<QualType> &Exceptions,
FunctionProtoType::ExceptionSpecInfo &ESI);
/// Determine if we're in a case where we need to (incorrectly) eagerly
/// parse an exception specification to work around a libstdc++ bug.
bool isLibstdcxxEagerExceptionSpecHack(const Declarator &D);
/// Add an exception-specification to the given member function
/// (or member function template). The exception-specification was parsed
/// after the method itself was declared.
void actOnDelayedExceptionSpecification(Decl *Method,
ExceptionSpecificationType EST,
SourceRange SpecificationRange,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr);
class InheritedConstructorInfo;
/// Determine if a special member function should have a deleted
/// definition when it is defaulted.
bool ShouldDeleteSpecialMember(CXXMethodDecl *MD, CXXSpecialMember CSM,
InheritedConstructorInfo *ICI = nullptr,
bool Diagnose = false);
/// Produce notes explaining why a defaulted function was defined as deleted.
void DiagnoseDeletedDefaultedFunction(FunctionDecl *FD);
/// Declare the implicit default constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// default constructor will be added.
///
/// \returns The implicitly-declared default constructor.
CXXConstructorDecl *DeclareImplicitDefaultConstructor(
CXXRecordDecl *ClassDecl);
/// DefineImplicitDefaultConstructor - Checks for feasibility of
/// defining this constructor as the default constructor.
void DefineImplicitDefaultConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit destructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// destructor will be added.
///
/// \returns The implicitly-declared destructor.
CXXDestructorDecl *DeclareImplicitDestructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitDestructor - Checks for feasibility of
/// defining this destructor as the default destructor.
void DefineImplicitDestructor(SourceLocation CurrentLocation,
CXXDestructorDecl *Destructor);
/// Build an exception spec for destructors that don't have one.
///
/// C++11 says that user-defined destructors with no exception spec get one
/// that looks as if the destructor was implicitly declared.
void AdjustDestructorExceptionSpec(CXXDestructorDecl *Destructor);
/// Define the specified inheriting constructor.
void DefineInheritingConstructor(SourceLocation UseLoc,
CXXConstructorDecl *Constructor);
/// Declare the implicit copy constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy constructor will be added.
///
/// \returns The implicitly-declared copy constructor.
CXXConstructorDecl *DeclareImplicitCopyConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitCopyConstructor - Checks for feasibility of
/// defining this constructor as the copy constructor.
void DefineImplicitCopyConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit move constructor for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move constructor will be added.
///
/// \returns The implicitly-declared move constructor, or NULL if it wasn't
/// declared.
CXXConstructorDecl *DeclareImplicitMoveConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitMoveConstructor - Checks for feasibility of
/// defining this constructor as the move constructor.
void DefineImplicitMoveConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit copy assignment operator for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy assignment operator will be added.
///
/// \returns The implicitly-declared copy assignment operator.
CXXMethodDecl *DeclareImplicitCopyAssignment(CXXRecordDecl *ClassDecl);
/// Defines an implicitly-declared copy assignment operator.
void DefineImplicitCopyAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// Declare the implicit move assignment operator for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move assignment operator will be added.
///
/// \returns The implicitly-declared move assignment operator, or NULL if it
/// wasn't declared.
CXXMethodDecl *DeclareImplicitMoveAssignment(CXXRecordDecl *ClassDecl);
/// Defines an implicitly-declared move assignment operator.
void DefineImplicitMoveAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// Force the declaration of any implicitly-declared members of this
/// class.
void ForceDeclarationOfImplicitMembers(CXXRecordDecl *Class);
/// Check a completed declaration of an implicit special member.
void CheckImplicitSpecialMemberDeclaration(Scope *S, FunctionDecl *FD);
/// Determine whether the given function is an implicitly-deleted
/// special member function.
bool isImplicitlyDeleted(FunctionDecl *FD);
/// Check whether 'this' shows up in the type of a static member
/// function after the (naturally empty) cv-qualifier-seq would be.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionType(CXXMethodDecl *Method);
/// Whether this' shows up in the exception specification of a static
/// member function.
bool checkThisInStaticMemberFunctionExceptionSpec(CXXMethodDecl *Method);
/// Check whether 'this' shows up in the attributes of the given
/// static member function.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionAttributes(CXXMethodDecl *Method);
/// MaybeBindToTemporary - If the passed in expression has a record type with
/// a non-trivial destructor, this will return CXXBindTemporaryExpr. Otherwise
/// it simply returns the passed in expression.
ExprResult MaybeBindToTemporary(Expr *E);
bool CompleteConstructorCall(CXXConstructorDecl *Constructor,
MultiExprArg ArgsPtr,
SourceLocation Loc,
SmallVectorImpl<Expr*> &ConvertedArgs,
bool AllowExplicit = false,
bool IsListInitialization = false);
ParsedType getInheritingConstructorName(CXXScopeSpec &SS,
SourceLocation NameLoc,
IdentifierInfo &Name);
ParsedType getConstructorName(IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
bool EnteringContext);
ParsedType getDestructorName(SourceLocation TildeLoc,
IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
ParsedType ObjectType,
bool EnteringContext);
ParsedType getDestructorTypeForDecltype(const DeclSpec &DS,
ParsedType ObjectType);
// Checks that reinterpret casts don't have undefined behavior.
void CheckCompatibleReinterpretCast(QualType SrcType, QualType DestType,
bool IsDereference, SourceRange Range);
/// ActOnCXXNamedCast - Parse {dynamic,static,reinterpret,const}_cast's.
ExprResult ActOnCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
SourceLocation LAngleBracketLoc,
Declarator &D,
SourceLocation RAngleBracketLoc,
SourceLocation LParenLoc,
Expr *E,
SourceLocation RParenLoc);
ExprResult BuildCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
TypeSourceInfo *Ty,
Expr *E,
SourceRange AngleBrackets,
SourceRange Parens);
ExprResult ActOnBuiltinBitCastExpr(SourceLocation KWLoc, Declarator &Dcl,
ExprResult Operand,
SourceLocation RParenLoc);
ExprResult BuildBuiltinBitCastExpr(SourceLocation KWLoc, TypeSourceInfo *TSI,
Expr *Operand, SourceLocation RParenLoc);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXTypeid - Parse typeid( something ).
ExprResult ActOnCXXTypeid(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXUuidof - Parse __uuidof( something ).
ExprResult ActOnCXXUuidof(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
/// Handle a C++1z fold-expression: ( expr op ... op expr ).
ExprResult ActOnCXXFoldExpr(SourceLocation LParenLoc, Expr *LHS,
tok::TokenKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc);
ExprResult BuildCXXFoldExpr(SourceLocation LParenLoc, Expr *LHS,
BinaryOperatorKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc,
Optional<unsigned> NumExpansions);
ExprResult BuildEmptyCXXFoldExpr(SourceLocation EllipsisLoc,
BinaryOperatorKind Operator);
//// ActOnCXXThis - Parse 'this' pointer.
ExprResult ActOnCXXThis(SourceLocation loc);
/// Build a CXXThisExpr and mark it referenced in the current context.
Expr *BuildCXXThisExpr(SourceLocation Loc, QualType Type, bool IsImplicit);
void MarkThisReferenced(CXXThisExpr *This);
/// Try to retrieve the type of the 'this' pointer.
///
/// \returns The type of 'this', if possible. Otherwise, returns a NULL type.
QualType getCurrentThisType();
/// When non-NULL, the C++ 'this' expression is allowed despite the
/// current context not being a non-static member function. In such cases,
/// this provides the type used for 'this'.
QualType CXXThisTypeOverride;
/// RAII object used to temporarily allow the C++ 'this' expression
/// to be used, with the given qualifiers on the current class type.
class CXXThisScopeRAII {
Sema &S;
QualType OldCXXThisTypeOverride;
bool Enabled;
public:
/// Introduce a new scope where 'this' may be allowed (when enabled),
/// using the given declaration (which is either a class template or a
/// class) along with the given qualifiers.
/// along with the qualifiers placed on '*this'.
CXXThisScopeRAII(Sema &S, Decl *ContextDecl, Qualifiers CXXThisTypeQuals,
bool Enabled = true);
~CXXThisScopeRAII();
};
/// Make sure the value of 'this' is actually available in the current
/// context, if it is a potentially evaluated context.
///
/// \param Loc The location at which the capture of 'this' occurs.
///
/// \param Explicit Whether 'this' is explicitly captured in a lambda
/// capture list.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// 'this' that may or may not be used in certain specializations of
/// a nested generic lambda (depending on whether the name resolves to
/// a non-static member function or a static function).
/// \return returns 'true' if failed, 'false' if success.
bool CheckCXXThisCapture(SourceLocation Loc, bool Explicit = false,
bool BuildAndDiagnose = true,
const unsigned *const FunctionScopeIndexToStopAt = nullptr,
bool ByCopy = false);
/// Determine whether the given type is the type of *this that is used
/// outside of the body of a member function for a type that is currently
/// being defined.
bool isThisOutsideMemberFunctionBody(QualType BaseType);
/// ActOnCXXBoolLiteral - Parse {true,false} literals.
ExprResult ActOnCXXBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
/// ActOnObjCBoolLiteral - Parse {__objc_yes,__objc_no} literals.
ExprResult ActOnObjCBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
ExprResult
ActOnObjCAvailabilityCheckExpr(llvm::ArrayRef<AvailabilitySpec> AvailSpecs,
SourceLocation AtLoc, SourceLocation RParen);
/// ActOnCXXNullPtrLiteral - Parse 'nullptr'.
ExprResult ActOnCXXNullPtrLiteral(SourceLocation Loc);
//// ActOnCXXThrow - Parse throw expressions.
ExprResult ActOnCXXThrow(Scope *S, SourceLocation OpLoc, Expr *expr);
ExprResult BuildCXXThrow(SourceLocation OpLoc, Expr *Ex,
bool IsThrownVarInScope);
bool CheckCXXThrowOperand(SourceLocation ThrowLoc, QualType ThrowTy, Expr *E);
/// ActOnCXXTypeConstructExpr - Parse construction of a specified type.
/// Can be interpreted either as function-style casting ("int(x)")
/// or class type construction ("ClassType(x,y,z)")
/// or creation of a value-initialized type ("int()").
ExprResult ActOnCXXTypeConstructExpr(ParsedType TypeRep,
SourceLocation LParenOrBraceLoc,
MultiExprArg Exprs,
SourceLocation RParenOrBraceLoc,
bool ListInitialization);
ExprResult BuildCXXTypeConstructExpr(TypeSourceInfo *Type,
SourceLocation LParenLoc,
MultiExprArg Exprs,
SourceLocation RParenLoc,
bool ListInitialization);
/// ActOnCXXNew - Parsed a C++ 'new' expression.
ExprResult ActOnCXXNew(SourceLocation StartLoc, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens, Declarator &D,
Expr *Initializer);
ExprResult BuildCXXNew(SourceRange Range, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens,
QualType AllocType,
TypeSourceInfo *AllocTypeInfo,
Optional<Expr *> ArraySize,
SourceRange DirectInitRange,
Expr *Initializer);
/// Determine whether \p FD is an aligned allocation or deallocation
/// function that is unavailable.
bool isUnavailableAlignedAllocationFunction(const FunctionDecl &FD) const;
/// Produce diagnostics if \p FD is an aligned allocation or deallocation
/// function that is unavailable.
void diagnoseUnavailableAlignedAllocation(const FunctionDecl &FD,
SourceLocation Loc);
bool CheckAllocatedType(QualType AllocType, SourceLocation Loc,
SourceRange R);
/// The scope in which to find allocation functions.
enum AllocationFunctionScope {
/// Only look for allocation functions in the global scope.
AFS_Global,
/// Only look for allocation functions in the scope of the
/// allocated class.
AFS_Class,
/// Look for allocation functions in both the global scope
/// and in the scope of the allocated class.
AFS_Both
};
/// Finds the overloads of operator new and delete that are appropriate
/// for the allocation.
bool FindAllocationFunctions(SourceLocation StartLoc, SourceRange Range,
AllocationFunctionScope NewScope,
AllocationFunctionScope DeleteScope,
QualType AllocType, bool IsArray,
bool &PassAlignment, MultiExprArg PlaceArgs,
FunctionDecl *&OperatorNew,
FunctionDecl *&OperatorDelete,
bool Diagnose = true);
void DeclareGlobalNewDelete();
void DeclareGlobalAllocationFunction(DeclarationName Name, QualType Return,
ArrayRef<QualType> Params);
bool FindDeallocationFunction(SourceLocation StartLoc, CXXRecordDecl *RD,
DeclarationName Name, FunctionDecl* &Operator,
bool Diagnose = true);
FunctionDecl *FindUsualDeallocationFunction(SourceLocation StartLoc,
bool CanProvideSize,
bool Overaligned,
DeclarationName Name);
FunctionDecl *FindDeallocationFunctionForDestructor(SourceLocation StartLoc,
CXXRecordDecl *RD);
/// ActOnCXXDelete - Parsed a C++ 'delete' expression
ExprResult ActOnCXXDelete(SourceLocation StartLoc,
bool UseGlobal, bool ArrayForm,
Expr *Operand);
void CheckVirtualDtorCall(CXXDestructorDecl *dtor, SourceLocation Loc,
bool IsDelete, bool CallCanBeVirtual,
bool WarnOnNonAbstractTypes,
SourceLocation DtorLoc);
ExprResult ActOnNoexceptExpr(SourceLocation KeyLoc, SourceLocation LParen,
Expr *Operand, SourceLocation RParen);
ExprResult BuildCXXNoexceptExpr(SourceLocation KeyLoc, Expr *Operand,
SourceLocation RParen);
/// Parsed one of the type trait support pseudo-functions.
ExprResult ActOnTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<ParsedType> Args,
SourceLocation RParenLoc);
ExprResult BuildTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<TypeSourceInfo *> Args,
SourceLocation RParenLoc);
/// ActOnArrayTypeTrait - Parsed one of the binary type trait support
/// pseudo-functions.
ExprResult ActOnArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
ParsedType LhsTy,
Expr *DimExpr,
SourceLocation RParen);
ExprResult BuildArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
TypeSourceInfo *TSInfo,
Expr *DimExpr,
SourceLocation RParen);
/// ActOnExpressionTrait - Parsed one of the unary type trait support
/// pseudo-functions.
ExprResult ActOnExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult BuildExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult ActOnStartCXXMemberReference(Scope *S,
Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
ParsedType &ObjectType,
bool &MayBePseudoDestructor);
ExprResult BuildPseudoDestructorExpr(Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
const CXXScopeSpec &SS,
TypeSourceInfo *ScopeType,
SourceLocation CCLoc,
SourceLocation TildeLoc,
PseudoDestructorTypeStorage DestroyedType);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
UnqualifiedId &FirstTypeName,
SourceLocation CCLoc,
SourceLocation TildeLoc,
UnqualifiedId &SecondTypeName);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
SourceLocation TildeLoc,
const DeclSpec& DS);
/// MaybeCreateExprWithCleanups - If the current full-expression
/// requires any cleanups, surround it with a ExprWithCleanups node.
/// Otherwise, just returns the passed-in expression.
Expr *MaybeCreateExprWithCleanups(Expr *SubExpr);
Stmt *MaybeCreateStmtWithCleanups(Stmt *SubStmt);
ExprResult MaybeCreateExprWithCleanups(ExprResult SubExpr);
MaterializeTemporaryExpr *
CreateMaterializeTemporaryExpr(QualType T, Expr *Temporary,
bool BoundToLvalueReference);
ExprResult ActOnFinishFullExpr(Expr *Expr, bool DiscardedValue) {
return ActOnFinishFullExpr(
Expr, Expr ? Expr->getExprLoc() : SourceLocation(), DiscardedValue);
}
ExprResult ActOnFinishFullExpr(Expr *Expr, SourceLocation CC,
bool DiscardedValue, bool IsConstexpr = false);
StmtResult ActOnFinishFullStmt(Stmt *Stmt);
// Marks SS invalid if it represents an incomplete type.
bool RequireCompleteDeclContext(CXXScopeSpec &SS, DeclContext *DC);
DeclContext *computeDeclContext(QualType T);
DeclContext *computeDeclContext(const CXXScopeSpec &SS,
bool EnteringContext = false);
bool isDependentScopeSpecifier(const CXXScopeSpec &SS);
CXXRecordDecl *getCurrentInstantiationOf(NestedNameSpecifier *NNS);
/// The parser has parsed a global nested-name-specifier '::'.
///
/// \param CCLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXGlobalScopeSpecifier(SourceLocation CCLoc, CXXScopeSpec &SS);
/// The parser has parsed a '__super' nested-name-specifier.
///
/// \param SuperLoc The location of the '__super' keyword.
///
/// \param ColonColonLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnSuperScopeSpecifier(SourceLocation SuperLoc,
SourceLocation ColonColonLoc, CXXScopeSpec &SS);
bool isAcceptableNestedNameSpecifier(const NamedDecl *SD,
bool *CanCorrect = nullptr);
NamedDecl *FindFirstQualifierInScope(Scope *S, NestedNameSpecifier *NNS);
/// Keeps information about an identifier in a nested-name-spec.
///
struct NestedNameSpecInfo {
/// The type of the object, if we're parsing nested-name-specifier in
/// a member access expression.
ParsedType ObjectType;
/// The identifier preceding the '::'.
IdentifierInfo *Identifier;
/// The location of the identifier.
SourceLocation IdentifierLoc;
/// The location of the '::'.
SourceLocation CCLoc;
/// Creates info object for the most typical case.
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, ParsedType ObjectType = ParsedType())
: ObjectType(ObjectType), Identifier(II), IdentifierLoc(IdLoc),
CCLoc(ColonColonLoc) {
}
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, QualType ObjectType)
: ObjectType(ParsedType::make(ObjectType)), Identifier(II),
IdentifierLoc(IdLoc), CCLoc(ColonColonLoc) {
}
};
bool isNonTypeNestedNameSpecifier(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo);
bool BuildCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
NamedDecl *ScopeLookupResult,
bool ErrorRecoveryLookup,
bool *IsCorrectedToColon = nullptr,
bool OnlyNamespace = false);
/// The parser has parsed a nested-name-specifier 'identifier::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param IdInfo Parser information about an identifier in the
/// nested-name-spec.
///
/// \param EnteringContext Whether we're entering the context nominated by
/// this nested-name-specifier.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param ErrorRecoveryLookup If true, then this method is called to improve
/// error recovery. In this case do not emit error message.
///
/// \param IsCorrectedToColon If not null, suggestions to replace '::' -> ':'
/// are allowed. The bool value pointed by this parameter is set to 'true'
/// if the identifier is treated as if it was followed by ':', not '::'.
///
/// \param OnlyNamespace If true, only considers namespaces in lookup.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
bool ErrorRecoveryLookup = false,
bool *IsCorrectedToColon = nullptr,
bool OnlyNamespace = false);
ExprResult ActOnDecltypeExpression(Expr *E);
bool ActOnCXXNestedNameSpecifierDecltype(CXXScopeSpec &SS,
const DeclSpec &DS,
SourceLocation ColonColonLoc);
bool IsInvalidUnlessNestedName(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo,
bool EnteringContext);
/// The parser has parsed a nested-name-specifier
/// 'template[opt] template-name < template-args >::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param TemplateKWLoc the location of the 'template' keyword, if any.
/// \param TemplateName the template name.
/// \param TemplateNameLoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
/// \param CCLoc The location of the '::'.
///
/// \param EnteringContext Whether we're entering the context of the
/// nested-name-specifier.
///
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateName,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
SourceLocation CCLoc,
bool EnteringContext);
/// Given a C++ nested-name-specifier, produce an annotation value
/// that the parser can use later to reconstruct the given
/// nested-name-specifier.
///
/// \param SS A nested-name-specifier.
///
/// \returns A pointer containing all of the information in the
/// nested-name-specifier \p SS.
void *SaveNestedNameSpecifierAnnotation(CXXScopeSpec &SS);
/// Given an annotation pointer for a nested-name-specifier, restore
/// the nested-name-specifier structure.
///
/// \param Annotation The annotation pointer, produced by
/// \c SaveNestedNameSpecifierAnnotation().
///
/// \param AnnotationRange The source range corresponding to the annotation.
///
/// \param SS The nested-name-specifier that will be updated with the contents
/// of the annotation pointer.
void RestoreNestedNameSpecifierAnnotation(void *Annotation,
SourceRange AnnotationRange,
CXXScopeSpec &SS);
bool ShouldEnterDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclaratorScope - Called when a C++ scope specifier (global
/// scope or nested-name-specifier) is parsed, part of a declarator-id.
/// After this method is called, according to [C++ 3.4.3p3], names should be
/// looked up in the declarator-id's scope, until the declarator is parsed and
/// ActOnCXXExitDeclaratorScope is called.
/// The 'SS' should be a non-empty valid CXXScopeSpec.
bool ActOnCXXEnterDeclaratorScope(Scope *S, CXXScopeSpec &SS);
/// ActOnCXXExitDeclaratorScope - Called when a declarator that previously
/// invoked ActOnCXXEnterDeclaratorScope(), is finished. 'SS' is the same
/// CXXScopeSpec that was passed to ActOnCXXEnterDeclaratorScope as well.
/// Used to indicate that names should revert to being looked up in the
/// defining scope.
void ActOnCXXExitDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclInitializer - Invoked when we are about to parse an
/// initializer for the declaration 'Dcl'.
/// After this method is called, according to [C++ 3.4.1p13], if 'Dcl' is a
/// static data member of class X, names should be looked up in the scope of
/// class X.
void ActOnCXXEnterDeclInitializer(Scope *S, Decl *Dcl);
/// ActOnCXXExitDeclInitializer - Invoked after we are finished parsing an
/// initializer for the declaration 'Dcl'.
void ActOnCXXExitDeclInitializer(Scope *S, Decl *Dcl);
/// Create a new lambda closure type.
CXXRecordDecl *createLambdaClosureType(SourceRange IntroducerRange,
TypeSourceInfo *Info,
bool KnownDependent,
LambdaCaptureDefault CaptureDefault);
/// Start the definition of a lambda expression.
CXXMethodDecl *startLambdaDefinition(CXXRecordDecl *Class,
SourceRange IntroducerRange,
TypeSourceInfo *MethodType,
SourceLocation EndLoc,
ArrayRef<ParmVarDecl *> Params,
ConstexprSpecKind ConstexprKind);
/// Number lambda for linkage purposes if necessary.
void handleLambdaNumbering(
CXXRecordDecl *Class, CXXMethodDecl *Method,
Optional<std::tuple<unsigned, bool, Decl *>> Mangling = None);
/// Endow the lambda scope info with the relevant properties.
void buildLambdaScope(sema::LambdaScopeInfo *LSI,
CXXMethodDecl *CallOperator,
SourceRange IntroducerRange,
LambdaCaptureDefault CaptureDefault,
SourceLocation CaptureDefaultLoc,
bool ExplicitParams,
bool ExplicitResultType,
bool Mutable);
/// Perform initialization analysis of the init-capture and perform
/// any implicit conversions such as an lvalue-to-rvalue conversion if
/// not being used to initialize a reference.
ParsedType actOnLambdaInitCaptureInitialization(
SourceLocation Loc, bool ByRef, SourceLocation EllipsisLoc,
IdentifierInfo *Id, LambdaCaptureInitKind InitKind, Expr *&Init) {
return ParsedType::make(buildLambdaInitCaptureInitialization(
Loc, ByRef, EllipsisLoc, None, Id,
InitKind != LambdaCaptureInitKind::CopyInit, Init));
}
QualType buildLambdaInitCaptureInitialization(
SourceLocation Loc, bool ByRef, SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions, IdentifierInfo *Id, bool DirectInit,
Expr *&Init);
/// Create a dummy variable within the declcontext of the lambda's
/// call operator, for name lookup purposes for a lambda init capture.
///
/// CodeGen handles emission of lambda captures, ignoring these dummy
/// variables appropriately.
VarDecl *createLambdaInitCaptureVarDecl(SourceLocation Loc,
QualType InitCaptureType,
SourceLocation EllipsisLoc,
IdentifierInfo *Id,
unsigned InitStyle, Expr *Init);
/// Add an init-capture to a lambda scope.
void addInitCapture(sema::LambdaScopeInfo *LSI, VarDecl *Var);
/// Note that we have finished the explicit captures for the
/// given lambda.
void finishLambdaExplicitCaptures(sema::LambdaScopeInfo *LSI);
/// \brief This is called after parsing the explicit template parameter list
/// on a lambda (if it exists) in C++2a.
void ActOnLambdaExplicitTemplateParameterList(SourceLocation LAngleLoc,
ArrayRef<NamedDecl *> TParams,
SourceLocation RAngleLoc);
/// Introduce the lambda parameters into scope.
void addLambdaParameters(
ArrayRef<LambdaIntroducer::LambdaCapture> Captures,
CXXMethodDecl *CallOperator, Scope *CurScope);
/// Deduce a block or lambda's return type based on the return
/// statements present in the body.
void deduceClosureReturnType(sema::CapturingScopeInfo &CSI);
/// ActOnStartOfLambdaDefinition - This is called just before we start
/// parsing the body of a lambda; it analyzes the explicit captures and
/// arguments, and sets up various data-structures for the body of the
/// lambda.
void ActOnStartOfLambdaDefinition(LambdaIntroducer &Intro,
Declarator &ParamInfo, Scope *CurScope);
/// ActOnLambdaError - If there is an error parsing a lambda, this callback
/// is invoked to pop the information about the lambda.
void ActOnLambdaError(SourceLocation StartLoc, Scope *CurScope,
bool IsInstantiation = false);
/// ActOnLambdaExpr - This is called when the body of a lambda expression
/// was successfully completed.
ExprResult ActOnLambdaExpr(SourceLocation StartLoc, Stmt *Body,
Scope *CurScope);
/// Does copying/destroying the captured variable have side effects?
bool CaptureHasSideEffects(const sema::Capture &From);
/// Diagnose if an explicit lambda capture is unused. Returns true if a
/// diagnostic is emitted.
bool DiagnoseUnusedLambdaCapture(SourceRange CaptureRange,
const sema::Capture &From);
/// Build a FieldDecl suitable to hold the given capture.
FieldDecl *BuildCaptureField(RecordDecl *RD, const sema::Capture &Capture);
/// Initialize the given capture with a suitable expression.
ExprResult BuildCaptureInit(const sema::Capture &Capture,
SourceLocation ImplicitCaptureLoc,
bool IsOpenMPMapping = false);
/// Complete a lambda-expression having processed and attached the
/// lambda body.
ExprResult BuildLambdaExpr(SourceLocation StartLoc, SourceLocation EndLoc,
sema::LambdaScopeInfo *LSI);
/// Get the return type to use for a lambda's conversion function(s) to
/// function pointer type, given the type of the call operator.
QualType
getLambdaConversionFunctionResultType(const FunctionProtoType *CallOpType);
/// Define the "body" of the conversion from a lambda object to a
/// function pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToFunctionPointerConversion(
SourceLocation CurrentLoc, CXXConversionDecl *Conv);
/// Define the "body" of the conversion from a lambda object to a
/// block pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToBlockPointerConversion(SourceLocation CurrentLoc,
CXXConversionDecl *Conv);
ExprResult BuildBlockForLambdaConversion(SourceLocation CurrentLocation,
SourceLocation ConvLocation,
CXXConversionDecl *Conv,
Expr *Src);
/// Check whether the given expression is a valid constraint expression.
/// A diagnostic is emitted if it is not, and false is returned.
bool CheckConstraintExpression(Expr *CE);
private:
/// \brief Caches pairs of template-like decls whose associated constraints
/// were checked for subsumption and whether or not the first's constraints
/// did in fact subsume the second's.
llvm::DenseMap<std::pair<NamedDecl *, NamedDecl *>, bool> SubsumptionCache;
public:
/// \brief Check whether the given declaration's associated constraints are
/// at least as constrained than another declaration's according to the
/// partial ordering of constraints.
///
/// \param Result If no error occurred, receives the result of true if D1 is
/// at least constrained than D2, and false otherwise.
///
/// \returns true if an error occurred, false otherwise.
bool IsAtLeastAsConstrained(NamedDecl *D1, ArrayRef<const Expr *> AC1,
NamedDecl *D2, ArrayRef<const Expr *> AC2,
bool &Result);
/// \brief Check whether the given list of constraint expressions are
/// satisfied (as if in a 'conjunction') given template arguments.
/// \param ConstraintExprs a list of constraint expressions, treated as if
/// they were 'AND'ed together.
/// \param TemplateArgs the list of template arguments to substitute into the
/// constraint expression.
/// \param TemplateIDRange The source range of the template id that
/// caused the constraints check.
/// \param Satisfaction if true is returned, will contain details of the
/// satisfaction, with enough information to diagnose an unsatisfied
/// expression.
/// \returns true if an error occurred and satisfaction could not be checked,
/// false otherwise.
bool CheckConstraintSatisfaction(TemplateDecl *Template,
ArrayRef<const Expr *> ConstraintExprs,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange TemplateIDRange,
ConstraintSatisfaction &Satisfaction);
bool CheckConstraintSatisfaction(ClassTemplatePartialSpecializationDecl *TD,
ArrayRef<const Expr *> ConstraintExprs,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange TemplateIDRange,
ConstraintSatisfaction &Satisfaction);
bool CheckConstraintSatisfaction(VarTemplatePartialSpecializationDecl *TD,
ArrayRef<const Expr *> ConstraintExprs,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange TemplateIDRange,
ConstraintSatisfaction &Satisfaction);
/// \brief Check whether the given non-dependent constraint expression is
/// satisfied. Returns false and updates Satisfaction with the satisfaction
/// verdict if successful, emits a diagnostic and returns true if an error
/// occured and satisfaction could not be determined.
///
/// \returns true if an error occurred, false otherwise.
bool CheckConstraintSatisfaction(const Expr *ConstraintExpr,
ConstraintSatisfaction &Satisfaction);
/// Check that the associated constraints of a template declaration match the
/// associated constraints of an older declaration of which it is a
/// redeclaration.
bool CheckRedeclarationConstraintMatch(TemplateParameterList *Old,
TemplateParameterList *New);
/// \brief Ensure that the given template arguments satisfy the constraints
/// associated with the given template, emitting a diagnostic if they do not.
///
/// \param Template The template to which the template arguments are being
/// provided.
///
/// \param TemplateArgs The converted, canonicalized template arguments.
///
/// \param TemplateIDRange The source range of the template id that
/// caused the constraints check.
///
/// \returns true if the constrains are not satisfied or could not be checked
/// for satisfaction, false if the constraints are satisfied.
bool EnsureTemplateArgumentListConstraints(TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange TemplateIDRange);
/// \brief Emit diagnostics explaining why a constraint expression was deemed
/// unsatisfied.
void
DiagnoseUnsatisfiedConstraint(const ConstraintSatisfaction& Satisfaction);
/// \brief Emit diagnostics explaining why a constraint expression was deemed
/// unsatisfied.
void
DiagnoseUnsatisfiedConstraint(const ASTConstraintSatisfaction& Satisfaction);
/// \brief Emit diagnostics explaining why a constraint expression was deemed
/// unsatisfied because it was ill-formed.
void DiagnoseUnsatisfiedIllFormedConstraint(SourceLocation DiagnosticLocation,
StringRef Diagnostic);
void
DiagnoseRedeclarationConstraintMismatch(const TemplateParameterList *Old,
const TemplateParameterList *New);
// ParseObjCStringLiteral - Parse Objective-C string literals.
ExprResult ParseObjCStringLiteral(SourceLocation *AtLocs,
ArrayRef<Expr *> Strings);
ExprResult BuildObjCStringLiteral(SourceLocation AtLoc, StringLiteral *S);
/// BuildObjCNumericLiteral - builds an ObjCBoxedExpr AST node for the
/// numeric literal expression. Type of the expression will be "NSNumber *"
/// or "id" if NSNumber is unavailable.
ExprResult BuildObjCNumericLiteral(SourceLocation AtLoc, Expr *Number);
ExprResult ActOnObjCBoolLiteral(SourceLocation AtLoc, SourceLocation ValueLoc,
bool Value);
ExprResult BuildObjCArrayLiteral(SourceRange SR, MultiExprArg Elements);
/// BuildObjCBoxedExpr - builds an ObjCBoxedExpr AST node for the
/// '@' prefixed parenthesized expression. The type of the expression will
/// either be "NSNumber *", "NSString *" or "NSValue *" depending on the type
/// of ValueType, which is allowed to be a built-in numeric type, "char *",
/// "const char *" or C structure with attribute 'objc_boxable'.
ExprResult BuildObjCBoxedExpr(SourceRange SR, Expr *ValueExpr);
ExprResult BuildObjCSubscriptExpression(SourceLocation RB, Expr *BaseExpr,
Expr *IndexExpr,
ObjCMethodDecl *getterMethod,
ObjCMethodDecl *setterMethod);
ExprResult BuildObjCDictionaryLiteral(SourceRange SR,
MutableArrayRef<ObjCDictionaryElement> Elements);
ExprResult BuildObjCEncodeExpression(SourceLocation AtLoc,
TypeSourceInfo *EncodedTypeInfo,
SourceLocation RParenLoc);
ExprResult BuildCXXMemberCallExpr(Expr *Exp, NamedDecl *FoundDecl,
CXXConversionDecl *Method,
bool HadMultipleCandidates);
ExprResult ParseObjCEncodeExpression(SourceLocation AtLoc,
SourceLocation EncodeLoc,
SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc);
/// ParseObjCSelectorExpression - Build selector expression for \@selector
ExprResult ParseObjCSelectorExpression(Selector Sel,
SourceLocation AtLoc,
SourceLocation SelLoc,
SourceLocation LParenLoc,
SourceLocation RParenLoc,
bool WarnMultipleSelectors);
/// ParseObjCProtocolExpression - Build protocol expression for \@protocol
ExprResult ParseObjCProtocolExpression(IdentifierInfo * ProtocolName,
SourceLocation AtLoc,
SourceLocation ProtoLoc,
SourceLocation LParenLoc,
SourceLocation ProtoIdLoc,
SourceLocation RParenLoc);
//===--------------------------------------------------------------------===//
// C++ Declarations
//
Decl *ActOnStartLinkageSpecification(Scope *S,
SourceLocation ExternLoc,
Expr *LangStr,
SourceLocation LBraceLoc);
Decl *ActOnFinishLinkageSpecification(Scope *S,
Decl *LinkageSpec,
SourceLocation RBraceLoc);
//===--------------------------------------------------------------------===//
// C++ Classes
//
CXXRecordDecl *getCurrentClass(Scope *S, const CXXScopeSpec *SS);
bool isCurrentClassName(const IdentifierInfo &II, Scope *S,
const CXXScopeSpec *SS = nullptr);
bool isCurrentClassNameTypo(IdentifierInfo *&II, const CXXScopeSpec *SS);
bool ActOnAccessSpecifier(AccessSpecifier Access, SourceLocation ASLoc,
SourceLocation ColonLoc,
const ParsedAttributesView &Attrs);
NamedDecl *ActOnCXXMemberDeclarator(Scope *S, AccessSpecifier AS,
Declarator &D,
MultiTemplateParamsArg TemplateParameterLists,
Expr *BitfieldWidth, const VirtSpecifiers &VS,
InClassInitStyle InitStyle);
void ActOnStartCXXInClassMemberInitializer();
void ActOnFinishCXXInClassMemberInitializer(Decl *VarDecl,
SourceLocation EqualLoc,
Expr *Init);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
SourceLocation LParenLoc,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
SourceLocation EllipsisLoc);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *InitList,
SourceLocation EllipsisLoc);
MemInitResult BuildMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *Init,
SourceLocation EllipsisLoc);
MemInitResult BuildMemberInitializer(ValueDecl *Member,
Expr *Init,
SourceLocation IdLoc);
MemInitResult BuildBaseInitializer(QualType BaseType,
TypeSourceInfo *BaseTInfo,
Expr *Init,
CXXRecordDecl *ClassDecl,
SourceLocation EllipsisLoc);
MemInitResult BuildDelegatingInitializer(TypeSourceInfo *TInfo,
Expr *Init,
CXXRecordDecl *ClassDecl);
bool SetDelegatingInitializer(CXXConstructorDecl *Constructor,
CXXCtorInitializer *Initializer);
bool SetCtorInitializers(CXXConstructorDecl *Constructor, bool AnyErrors,
ArrayRef<CXXCtorInitializer *> Initializers = None);
void SetIvarInitializers(ObjCImplementationDecl *ObjCImplementation);
/// MarkBaseAndMemberDestructorsReferenced - Given a record decl,
/// mark all the non-trivial destructors of its members and bases as
/// referenced.
void MarkBaseAndMemberDestructorsReferenced(SourceLocation Loc,
CXXRecordDecl *Record);
/// The list of classes whose vtables have been used within
/// this translation unit, and the source locations at which the
/// first use occurred.
typedef std::pair<CXXRecordDecl*, SourceLocation> VTableUse;
/// The list of vtables that are required but have not yet been
/// materialized.
SmallVector<VTableUse, 16> VTableUses;
/// The set of classes whose vtables have been used within
/// this translation unit, and a bit that will be true if the vtable is
/// required to be emitted (otherwise, it should be emitted only if needed
/// by code generation).
llvm::DenseMap<CXXRecordDecl *, bool> VTablesUsed;
/// Load any externally-stored vtable uses.
void LoadExternalVTableUses();
/// Note that the vtable for the given class was used at the
/// given location.
void MarkVTableUsed(SourceLocation Loc, CXXRecordDecl *Class,
bool DefinitionRequired = false);
/// Mark the exception specifications of all virtual member functions
/// in the given class as needed.
void MarkVirtualMemberExceptionSpecsNeeded(SourceLocation Loc,
const CXXRecordDecl *RD);
/// MarkVirtualMembersReferenced - Will mark all members of the given
/// CXXRecordDecl referenced.
void MarkVirtualMembersReferenced(SourceLocation Loc, const CXXRecordDecl *RD,
bool ConstexprOnly = false);
/// Define all of the vtables that have been used in this
/// translation unit and reference any virtual members used by those
/// vtables.
///
/// \returns true if any work was done, false otherwise.
bool DefineUsedVTables();
void AddImplicitlyDeclaredMembersToClass(CXXRecordDecl *ClassDecl);
void ActOnMemInitializers(Decl *ConstructorDecl,
SourceLocation ColonLoc,
ArrayRef<CXXCtorInitializer*> MemInits,
bool AnyErrors);
/// Check class-level dllimport/dllexport attribute. The caller must
/// ensure that referenceDLLExportedClassMethods is called some point later
/// when all outer classes of Class are complete.
void checkClassLevelDLLAttribute(CXXRecordDecl *Class);
void checkClassLevelCodeSegAttribute(CXXRecordDecl *Class);
void referenceDLLExportedClassMethods();
void propagateDLLAttrToBaseClassTemplate(
CXXRecordDecl *Class, Attr *ClassAttr,
ClassTemplateSpecializationDecl *BaseTemplateSpec,
SourceLocation BaseLoc);
/// Add gsl::Pointer attribute to std::container::iterator
/// \param ND The declaration that introduces the name
/// std::container::iterator. \param UnderlyingRecord The record named by ND.
void inferGslPointerAttribute(NamedDecl *ND, CXXRecordDecl *UnderlyingRecord);
/// Add [[gsl::Owner]] and [[gsl::Pointer]] attributes for std:: types.
void inferGslOwnerPointerAttribute(CXXRecordDecl *Record);
/// Add [[gsl::Pointer]] attributes for std:: types.
void inferGslPointerAttribute(TypedefNameDecl *TD);
void CheckCompletedCXXClass(Scope *S, CXXRecordDecl *Record);
/// Check that the C++ class annoated with "trivial_abi" satisfies all the
/// conditions that are needed for the attribute to have an effect.
void checkIllFormedTrivialABIStruct(CXXRecordDecl &RD);
void ActOnFinishCXXMemberSpecification(Scope *S, SourceLocation RLoc,
Decl *TagDecl, SourceLocation LBrac,
SourceLocation RBrac,
const ParsedAttributesView &AttrList);
void ActOnFinishCXXMemberDecls();
void ActOnFinishCXXNonNestedClass();
void ActOnReenterCXXMethodParameter(Scope *S, ParmVarDecl *Param);
unsigned ActOnReenterTemplateScope(Scope *S, Decl *Template);
void ActOnStartDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnStartDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnDelayedCXXMethodParameter(Scope *S, Decl *Param);
void ActOnFinishDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnFinishDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnFinishDelayedMemberInitializers(Decl *Record);
void MarkAsLateParsedTemplate(FunctionDecl *FD, Decl *FnD,
CachedTokens &Toks);
void UnmarkAsLateParsedTemplate(FunctionDecl *FD);
bool IsInsideALocalClassWithinATemplateFunction();
Decl *ActOnStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
Expr *AssertMessageExpr,
SourceLocation RParenLoc);
Decl *BuildStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
StringLiteral *AssertMessageExpr,
SourceLocation RParenLoc,
bool Failed);
FriendDecl *CheckFriendTypeDecl(SourceLocation LocStart,
SourceLocation FriendLoc,
TypeSourceInfo *TSInfo);
Decl *ActOnFriendTypeDecl(Scope *S, const DeclSpec &DS,
MultiTemplateParamsArg TemplateParams);
NamedDecl *ActOnFriendFunctionDecl(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParams);
QualType CheckConstructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
void CheckConstructor(CXXConstructorDecl *Constructor);
QualType CheckDestructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
bool CheckDestructor(CXXDestructorDecl *Destructor);
void CheckConversionDeclarator(Declarator &D, QualType &R,
StorageClass& SC);
Decl *ActOnConversionDeclarator(CXXConversionDecl *Conversion);
void CheckDeductionGuideDeclarator(Declarator &D, QualType &R,
StorageClass &SC);
void CheckDeductionGuideTemplate(FunctionTemplateDecl *TD);
void CheckExplicitlyDefaultedFunction(Scope *S, FunctionDecl *MD);
bool CheckExplicitlyDefaultedSpecialMember(CXXMethodDecl *MD,
CXXSpecialMember CSM);
void CheckDelayedMemberExceptionSpecs();
bool CheckExplicitlyDefaultedComparison(Scope *S, FunctionDecl *MD,
DefaultedComparisonKind DCK);
void DeclareImplicitEqualityComparison(CXXRecordDecl *RD,
FunctionDecl *Spaceship);
void DefineDefaultedComparison(SourceLocation Loc, FunctionDecl *FD,
DefaultedComparisonKind DCK);
//===--------------------------------------------------------------------===//
// C++ Derived Classes
//
/// ActOnBaseSpecifier - Parsed a base specifier
CXXBaseSpecifier *CheckBaseSpecifier(CXXRecordDecl *Class,
SourceRange SpecifierRange,
bool Virtual, AccessSpecifier Access,
TypeSourceInfo *TInfo,
SourceLocation EllipsisLoc);
BaseResult ActOnBaseSpecifier(Decl *classdecl,
SourceRange SpecifierRange,
ParsedAttributes &Attrs,
bool Virtual, AccessSpecifier Access,
ParsedType basetype,
SourceLocation BaseLoc,
SourceLocation EllipsisLoc);
bool AttachBaseSpecifiers(CXXRecordDecl *Class,
MutableArrayRef<CXXBaseSpecifier *> Bases);
void ActOnBaseSpecifiers(Decl *ClassDecl,
MutableArrayRef<CXXBaseSpecifier *> Bases);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base,
CXXBasePaths &Paths);
// FIXME: I don't like this name.
void BuildBasePathArray(const CXXBasePaths &Paths, CXXCastPath &BasePath);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
SourceLocation Loc, SourceRange Range,
CXXCastPath *BasePath = nullptr,
bool IgnoreAccess = false);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
unsigned InaccessibleBaseID,
unsigned AmbigiousBaseConvID,
SourceLocation Loc, SourceRange Range,
DeclarationName Name,
CXXCastPath *BasePath,
bool IgnoreAccess = false);
std::string getAmbiguousPathsDisplayString(CXXBasePaths &Paths);
bool CheckOverridingFunctionAttributes(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionReturnType - Checks whether the return types are
/// covariant, according to C++ [class.virtual]p5.
bool CheckOverridingFunctionReturnType(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionExceptionSpec - Checks whether the exception
/// spec is a subset of base spec.
bool CheckOverridingFunctionExceptionSpec(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
bool CheckPureMethod(CXXMethodDecl *Method, SourceRange InitRange);
/// CheckOverrideControl - Check C++11 override control semantics.
void CheckOverrideControl(NamedDecl *D);
/// DiagnoseAbsenceOfOverrideControl - Diagnose if 'override' keyword was
/// not used in the declaration of an overriding method.
void DiagnoseAbsenceOfOverrideControl(NamedDecl *D);
/// CheckForFunctionMarkedFinal - Checks whether a virtual member function
/// overrides a virtual member function marked 'final', according to
/// C++11 [class.virtual]p4.
bool CheckIfOverriddenFunctionIsMarkedFinal(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
//===--------------------------------------------------------------------===//
// C++ Access Control
//
enum AccessResult {
AR_accessible,
AR_inaccessible,
AR_dependent,
AR_delayed
};
bool SetMemberAccessSpecifier(NamedDecl *MemberDecl,
NamedDecl *PrevMemberDecl,
AccessSpecifier LexicalAS);
AccessResult CheckUnresolvedMemberAccess(UnresolvedMemberExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckUnresolvedLookupAccess(UnresolvedLookupExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckAllocationAccess(SourceLocation OperatorLoc,
SourceRange PlacementRange,
CXXRecordDecl *NamingClass,
DeclAccessPair FoundDecl,
bool Diagnose = true);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
bool IsCopyBindingRefToTemp = false);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
const PartialDiagnostic &PDiag);
AccessResult CheckDestructorAccess(SourceLocation Loc,
CXXDestructorDecl *Dtor,
const PartialDiagnostic &PDiag,
QualType objectType = QualType());
AccessResult CheckFriendAccess(NamedDecl *D);
AccessResult CheckMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *NamingClass,
DeclAccessPair Found);
AccessResult
CheckStructuredBindingMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *DecomposedClass,
DeclAccessPair Field);
AccessResult CheckMemberOperatorAccess(SourceLocation Loc,
Expr *ObjectExpr,
Expr *ArgExpr,
DeclAccessPair FoundDecl);
AccessResult CheckAddressOfMemberAccess(Expr *OvlExpr,
DeclAccessPair FoundDecl);
AccessResult CheckBaseClassAccess(SourceLocation AccessLoc,
QualType Base, QualType Derived,
const CXXBasePath &Path,
unsigned DiagID,
bool ForceCheck = false,
bool ForceUnprivileged = false);
void CheckLookupAccess(const LookupResult &R);
bool IsSimplyAccessible(NamedDecl *Decl, CXXRecordDecl *NamingClass,
QualType BaseType);
bool isMemberAccessibleForDeletion(CXXRecordDecl *NamingClass,
DeclAccessPair Found, QualType ObjectType,
SourceLocation Loc,
const PartialDiagnostic &Diag);
bool isMemberAccessibleForDeletion(CXXRecordDecl *NamingClass,
DeclAccessPair Found,
QualType ObjectType) {
return isMemberAccessibleForDeletion(NamingClass, Found, ObjectType,
SourceLocation(), PDiag());
}
void HandleDependentAccessCheck(const DependentDiagnostic &DD,
const MultiLevelTemplateArgumentList &TemplateArgs);
void PerformDependentDiagnostics(const DeclContext *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
void HandleDelayedAccessCheck(sema::DelayedDiagnostic &DD, Decl *Ctx);
/// When true, access checking violations are treated as SFINAE
/// failures rather than hard errors.
bool AccessCheckingSFINAE;
enum AbstractDiagSelID {
AbstractNone = -1,
AbstractReturnType,
AbstractParamType,
AbstractVariableType,
AbstractFieldType,
AbstractIvarType,
AbstractSynthesizedIvarType,
AbstractArrayType
};
bool isAbstractType(SourceLocation Loc, QualType T);
bool RequireNonAbstractType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
template <typename... Ts>
bool RequireNonAbstractType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireNonAbstractType(Loc, T, Diagnoser);
}
void DiagnoseAbstractType(const CXXRecordDecl *RD);
//===--------------------------------------------------------------------===//
// C++ Overloaded Operators [C++ 13.5]
//
bool CheckOverloadedOperatorDeclaration(FunctionDecl *FnDecl);
bool CheckLiteralOperatorDeclaration(FunctionDecl *FnDecl);
//===--------------------------------------------------------------------===//
// C++ Templates [C++ 14]
//
void FilterAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true,
bool AllowDependent = true);
bool hasAnyAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true,
bool AllowDependent = true,
bool AllowNonTemplateFunctions = false);
/// Try to interpret the lookup result D as a template-name.
///
/// \param D A declaration found by name lookup.
/// \param AllowFunctionTemplates Whether function templates should be
/// considered valid results.
/// \param AllowDependent Whether unresolved using declarations (that might
/// name templates) should be considered valid results.
NamedDecl *getAsTemplateNameDecl(NamedDecl *D,
bool AllowFunctionTemplates = true,
bool AllowDependent = true);
enum class AssumedTemplateKind {
/// This is not assumed to be a template name.
None,
/// This is assumed to be a template name because lookup found nothing.
FoundNothing,
/// This is assumed to be a template name because lookup found one or more
/// functions (but no function templates).
FoundFunctions,
};
bool LookupTemplateName(LookupResult &R, Scope *S, CXXScopeSpec &SS,
QualType ObjectType, bool EnteringContext,
bool &MemberOfUnknownSpecialization,
SourceLocation TemplateKWLoc = SourceLocation(),
AssumedTemplateKind *ATK = nullptr);
TemplateNameKind isTemplateName(Scope *S,
CXXScopeSpec &SS,
bool hasTemplateKeyword,
const UnqualifiedId &Name,
ParsedType ObjectType,
bool EnteringContext,
TemplateTy &Template,
bool &MemberOfUnknownSpecialization);
/// Try to resolve an undeclared template name as a type template.
///
/// Sets II to the identifier corresponding to the template name, and updates
/// Name to a corresponding (typo-corrected) type template name and TNK to
/// the corresponding kind, if possible.
void ActOnUndeclaredTypeTemplateName(Scope *S, TemplateTy &Name,
TemplateNameKind &TNK,
SourceLocation NameLoc,
IdentifierInfo *&II);
bool resolveAssumedTemplateNameAsType(Scope *S, TemplateName &Name,
SourceLocation NameLoc,
bool Diagnose = true);
/// Determine whether a particular identifier might be the name in a C++1z
/// deduction-guide declaration.
bool isDeductionGuideName(Scope *S, const IdentifierInfo &Name,
SourceLocation NameLoc,
ParsedTemplateTy *Template = nullptr);
bool DiagnoseUnknownTemplateName(const IdentifierInfo &II,
SourceLocation IILoc,
Scope *S,
const CXXScopeSpec *SS,
TemplateTy &SuggestedTemplate,
TemplateNameKind &SuggestedKind);
bool DiagnoseUninstantiableTemplate(SourceLocation PointOfInstantiation,
NamedDecl *Instantiation,
bool InstantiatedFromMember,
const NamedDecl *Pattern,
const NamedDecl *PatternDef,
TemplateSpecializationKind TSK,
bool Complain = true);
void DiagnoseTemplateParameterShadow(SourceLocation Loc, Decl *PrevDecl);
TemplateDecl *AdjustDeclIfTemplate(Decl *&Decl);
NamedDecl *ActOnTypeParameter(Scope *S, bool Typename,
SourceLocation EllipsisLoc,
SourceLocation KeyLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth, unsigned Position,
SourceLocation EqualLoc,
ParsedType DefaultArg);
QualType CheckNonTypeTemplateParameterType(TypeSourceInfo *&TSI,
SourceLocation Loc);
QualType CheckNonTypeTemplateParameterType(QualType T, SourceLocation Loc);
NamedDecl *ActOnNonTypeTemplateParameter(Scope *S, Declarator &D,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
Expr *DefaultArg);
NamedDecl *ActOnTemplateTemplateParameter(Scope *S,
SourceLocation TmpLoc,
TemplateParameterList *Params,
SourceLocation EllipsisLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
ParsedTemplateArgument DefaultArg);
TemplateParameterList *
ActOnTemplateParameterList(unsigned Depth,
SourceLocation ExportLoc,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ArrayRef<NamedDecl *> Params,
SourceLocation RAngleLoc,
Expr *RequiresClause);
/// The context in which we are checking a template parameter list.
enum TemplateParamListContext {
TPC_ClassTemplate,
TPC_VarTemplate,
TPC_FunctionTemplate,
TPC_ClassTemplateMember,
TPC_FriendClassTemplate,
TPC_FriendFunctionTemplate,
TPC_FriendFunctionTemplateDefinition,
TPC_TypeAliasTemplate
};
bool CheckTemplateParameterList(TemplateParameterList *NewParams,
TemplateParameterList *OldParams,
TemplateParamListContext TPC,
SkipBodyInfo *SkipBody = nullptr);
TemplateParameterList *MatchTemplateParametersToScopeSpecifier(
SourceLocation DeclStartLoc, SourceLocation DeclLoc,
const CXXScopeSpec &SS, TemplateIdAnnotation *TemplateId,
ArrayRef<TemplateParameterList *> ParamLists,
bool IsFriend, bool &IsMemberSpecialization, bool &Invalid);
DeclResult CheckClassTemplate(
Scope *S, unsigned TagSpec, TagUseKind TUK, SourceLocation KWLoc,
CXXScopeSpec &SS, IdentifierInfo *Name, SourceLocation NameLoc,
const ParsedAttributesView &Attr, TemplateParameterList *TemplateParams,
AccessSpecifier AS, SourceLocation ModulePrivateLoc,
SourceLocation FriendLoc, unsigned NumOuterTemplateParamLists,
TemplateParameterList **OuterTemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
TemplateArgumentLoc getTrivialTemplateArgumentLoc(const TemplateArgument &Arg,
QualType NTTPType,
SourceLocation Loc);
/// Get a template argument mapping the given template parameter to itself,
/// e.g. for X in \c template<int X>, this would return an expression template
/// argument referencing X.
TemplateArgumentLoc getIdentityTemplateArgumentLoc(Decl *Param,
SourceLocation Location);
void translateTemplateArguments(const ASTTemplateArgsPtr &In,
TemplateArgumentListInfo &Out);
ParsedTemplateArgument ActOnTemplateTypeArgument(TypeResult ParsedType);
void NoteAllFoundTemplates(TemplateName Name);
QualType CheckTemplateIdType(TemplateName Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs);
TypeResult
ActOnTemplateIdType(Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
TemplateTy Template, IdentifierInfo *TemplateII,
SourceLocation TemplateIILoc, SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs, SourceLocation RAngleLoc,
bool IsCtorOrDtorName = false, bool IsClassName = false);
/// Parsed an elaborated-type-specifier that refers to a template-id,
/// such as \c class T::template apply<U>.
TypeResult ActOnTagTemplateIdType(TagUseKind TUK,
TypeSpecifierType TagSpec,
SourceLocation TagLoc,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateD,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgsIn,
SourceLocation RAngleLoc);
DeclResult ActOnVarTemplateSpecialization(
Scope *S, Declarator &D, TypeSourceInfo *DI,
SourceLocation TemplateKWLoc, TemplateParameterList *TemplateParams,
StorageClass SC, bool IsPartialSpecialization);
DeclResult CheckVarTemplateId(VarTemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation TemplateNameLoc,
const TemplateArgumentListInfo &TemplateArgs);
ExprResult CheckVarTemplateId(const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
VarTemplateDecl *Template,
SourceLocation TemplateLoc,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult
CheckConceptTemplateId(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
SourceLocation ConceptNameLoc, NamedDecl *FoundDecl,
ConceptDecl *NamedConcept,
const TemplateArgumentListInfo *TemplateArgs);
void diagnoseMissingTemplateArguments(TemplateName Name, SourceLocation Loc);
ExprResult BuildTemplateIdExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
bool RequiresADL,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildQualifiedTemplateIdExpr(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
TemplateNameKind ActOnDependentTemplateName(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
const UnqualifiedId &Name, ParsedType ObjectType, bool EnteringContext,
TemplateTy &Template, bool AllowInjectedClassName = false);
DeclResult ActOnClassTemplateSpecialization(
Scope *S, unsigned TagSpec, TagUseKind TUK, SourceLocation KWLoc,
SourceLocation ModulePrivateLoc, TemplateIdAnnotation &TemplateId,
const ParsedAttributesView &Attr,
MultiTemplateParamsArg TemplateParameterLists,
SkipBodyInfo *SkipBody = nullptr);
bool CheckTemplatePartialSpecializationArgs(SourceLocation Loc,
TemplateDecl *PrimaryTemplate,
unsigned NumExplicitArgs,
ArrayRef<TemplateArgument> Args);
void CheckTemplatePartialSpecialization(
ClassTemplatePartialSpecializationDecl *Partial);
void CheckTemplatePartialSpecialization(
VarTemplatePartialSpecializationDecl *Partial);
Decl *ActOnTemplateDeclarator(Scope *S,
MultiTemplateParamsArg TemplateParameterLists,
Declarator &D);
bool
CheckSpecializationInstantiationRedecl(SourceLocation NewLoc,
TemplateSpecializationKind NewTSK,
NamedDecl *PrevDecl,
TemplateSpecializationKind PrevTSK,
SourceLocation PrevPtOfInstantiation,
bool &SuppressNew);
bool CheckDependentFunctionTemplateSpecialization(FunctionDecl *FD,
const TemplateArgumentListInfo &ExplicitTemplateArgs,
LookupResult &Previous);
bool CheckFunctionTemplateSpecialization(
FunctionDecl *FD, TemplateArgumentListInfo *ExplicitTemplateArgs,
LookupResult &Previous, bool QualifiedFriend = false);
bool CheckMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
void CompleteMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
DeclResult ActOnExplicitInstantiation(
Scope *S, SourceLocation ExternLoc, SourceLocation TemplateLoc,
unsigned TagSpec, SourceLocation KWLoc, const CXXScopeSpec &SS,
TemplateTy Template, SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc, ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc, const ParsedAttributesView &Attr);
DeclResult ActOnExplicitInstantiation(Scope *S, SourceLocation ExternLoc,
SourceLocation TemplateLoc,
unsigned TagSpec, SourceLocation KWLoc,
CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc,
const ParsedAttributesView &Attr);
DeclResult ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
Declarator &D);
TemplateArgumentLoc
SubstDefaultTemplateArgumentIfAvailable(TemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
Decl *Param,
SmallVectorImpl<TemplateArgument>
&Converted,
bool &HasDefaultArg);
/// Specifies the context in which a particular template
/// argument is being checked.
enum CheckTemplateArgumentKind {
/// The template argument was specified in the code or was
/// instantiated with some deduced template arguments.
CTAK_Specified,
/// The template argument was deduced via template argument
/// deduction.
CTAK_Deduced,
/// The template argument was deduced from an array bound
/// via template argument deduction.
CTAK_DeducedFromArrayBound
};
bool CheckTemplateArgument(NamedDecl *Param,
TemplateArgumentLoc &Arg,
NamedDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
unsigned ArgumentPackIndex,
SmallVectorImpl<TemplateArgument> &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
/// Check that the given template arguments can be be provided to
/// the given template, converting the arguments along the way.
///
/// \param Template The template to which the template arguments are being
/// provided.
///
/// \param TemplateLoc The location of the template name in the source.
///
/// \param TemplateArgs The list of template arguments. If the template is
/// a template template parameter, this function may extend the set of
/// template arguments to also include substituted, defaulted template
/// arguments.
///
/// \param PartialTemplateArgs True if the list of template arguments is
/// intentionally partial, e.g., because we're checking just the initial
/// set of template arguments.
///
/// \param Converted Will receive the converted, canonicalized template
/// arguments.
///
/// \param UpdateArgsWithConversions If \c true, update \p TemplateArgs to
/// contain the converted forms of the template arguments as written.
/// Otherwise, \p TemplateArgs will not be modified.
///
/// \param ConstraintsNotSatisfied If provided, and an error occured, will
/// receive true if the cause for the error is the associated constraints of
/// the template not being satisfied by the template arguments.
///
/// \returns true if an error occurred, false otherwise.
bool CheckTemplateArgumentList(TemplateDecl *Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs,
bool PartialTemplateArgs,
SmallVectorImpl<TemplateArgument> &Converted,
bool UpdateArgsWithConversions = true,
bool *ConstraintsNotSatisfied = nullptr);
bool CheckTemplateTypeArgument(TemplateTypeParmDecl *Param,
TemplateArgumentLoc &Arg,
SmallVectorImpl<TemplateArgument> &Converted);
bool CheckTemplateArgument(TemplateTypeParmDecl *Param,
TypeSourceInfo *Arg);
ExprResult CheckTemplateArgument(NonTypeTemplateParmDecl *Param,
QualType InstantiatedParamType, Expr *Arg,
TemplateArgument &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
bool CheckTemplateTemplateArgument(TemplateParameterList *Params,
TemplateArgumentLoc &Arg);
ExprResult
BuildExpressionFromDeclTemplateArgument(const TemplateArgument &Arg,
QualType ParamType,
SourceLocation Loc);
ExprResult
BuildExpressionFromIntegralTemplateArgument(const TemplateArgument &Arg,
SourceLocation Loc);
/// Enumeration describing how template parameter lists are compared
/// for equality.
enum TemplateParameterListEqualKind {
/// We are matching the template parameter lists of two templates
/// that might be redeclarations.
///
/// \code
/// template<typename T> struct X;
/// template<typename T> struct X;
/// \endcode
TPL_TemplateMatch,
/// We are matching the template parameter lists of two template
/// template parameters as part of matching the template parameter lists
/// of two templates that might be redeclarations.
///
/// \code
/// template<template<int I> class TT> struct X;
/// template<template<int Value> class Other> struct X;
/// \endcode
TPL_TemplateTemplateParmMatch,
/// We are matching the template parameter lists of a template
/// template argument against the template parameter lists of a template
/// template parameter.
///
/// \code
/// template<template<int Value> class Metafun> struct X;
/// template<int Value> struct integer_c;
/// X<integer_c> xic;
/// \endcode
TPL_TemplateTemplateArgumentMatch
};
bool TemplateParameterListsAreEqual(TemplateParameterList *New,
TemplateParameterList *Old,
bool Complain,
TemplateParameterListEqualKind Kind,
SourceLocation TemplateArgLoc
= SourceLocation());
bool CheckTemplateDeclScope(Scope *S, TemplateParameterList *TemplateParams);
/// Called when the parser has parsed a C++ typename
/// specifier, e.g., "typename T::type".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param II the identifier we're retrieving (e.g., 'type' in the example).
/// \param IdLoc the location of the identifier.
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS, const IdentifierInfo &II,
SourceLocation IdLoc);
/// Called when the parser has parsed a C++ typename
/// specifier that ends in a template-id, e.g.,
/// "typename MetaFun::template apply<T1, T2>".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param TemplateLoc the location of the 'template' keyword, if any.
/// \param TemplateName The template name.
/// \param TemplateII The identifier used to name the template.
/// \param TemplateIILoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateLoc,
TemplateTy TemplateName,
IdentifierInfo *TemplateII,
SourceLocation TemplateIILoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc);
QualType CheckTypenameType(ElaboratedTypeKeyword Keyword,
SourceLocation KeywordLoc,
NestedNameSpecifierLoc QualifierLoc,
const IdentifierInfo &II,
SourceLocation IILoc);
TypeSourceInfo *RebuildTypeInCurrentInstantiation(TypeSourceInfo *T,
SourceLocation Loc,
DeclarationName Name);
bool RebuildNestedNameSpecifierInCurrentInstantiation(CXXScopeSpec &SS);
ExprResult RebuildExprInCurrentInstantiation(Expr *E);
bool RebuildTemplateParamsInCurrentInstantiation(
TemplateParameterList *Params);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgumentList &Args);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgument *Args,
unsigned NumArgs);
// Concepts
Decl *ActOnConceptDefinition(
Scope *S, MultiTemplateParamsArg TemplateParameterLists,
IdentifierInfo *Name, SourceLocation NameLoc, Expr *ConstraintExpr);
//===--------------------------------------------------------------------===//
// C++ Variadic Templates (C++0x [temp.variadic])
//===--------------------------------------------------------------------===//
/// Determine whether an unexpanded parameter pack might be permitted in this
/// location. Useful for error recovery.
bool isUnexpandedParameterPackPermitted();
/// The context in which an unexpanded parameter pack is
/// being diagnosed.
///
/// Note that the values of this enumeration line up with the first
/// argument to the \c err_unexpanded_parameter_pack diagnostic.
enum UnexpandedParameterPackContext {
/// An arbitrary expression.
UPPC_Expression = 0,
/// The base type of a class type.
UPPC_BaseType,
/// The type of an arbitrary declaration.
UPPC_DeclarationType,
/// The type of a data member.
UPPC_DataMemberType,
/// The size of a bit-field.
UPPC_BitFieldWidth,
/// The expression in a static assertion.
UPPC_StaticAssertExpression,
/// The fixed underlying type of an enumeration.
UPPC_FixedUnderlyingType,
/// The enumerator value.
UPPC_EnumeratorValue,
/// A using declaration.
UPPC_UsingDeclaration,
/// A friend declaration.
UPPC_FriendDeclaration,
/// A declaration qualifier.
UPPC_DeclarationQualifier,
/// An initializer.
UPPC_Initializer,
/// A default argument.
UPPC_DefaultArgument,
/// The type of a non-type template parameter.
UPPC_NonTypeTemplateParameterType,
/// The type of an exception.
UPPC_ExceptionType,
/// Partial specialization.
UPPC_PartialSpecialization,
/// Microsoft __if_exists.
UPPC_IfExists,
/// Microsoft __if_not_exists.
UPPC_IfNotExists,
/// Lambda expression.
UPPC_Lambda,
/// Block expression,
UPPC_Block
};
/// Diagnose unexpanded parameter packs.
///
/// \param Loc The location at which we should emit the diagnostic.
///
/// \param UPPC The context in which we are diagnosing unexpanded
/// parameter packs.
///
/// \param Unexpanded the set of unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPacks(SourceLocation Loc,
UnexpandedParameterPackContext UPPC,
ArrayRef<UnexpandedParameterPack> Unexpanded);
/// If the given type contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The source location where a diagnostc should be emitted.
///
/// \param T The type that is being checked for unexpanded parameter
/// packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc, TypeSourceInfo *T,
UnexpandedParameterPackContext UPPC);
/// If the given expression contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param E The expression that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(Expr *E,
UnexpandedParameterPackContext UPPC = UPPC_Expression);
/// If the given nested-name-specifier contains an unexpanded
/// parameter pack, diagnose the error.
///
/// \param SS The nested-name-specifier that is being checked for
/// unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const CXXScopeSpec &SS,
UnexpandedParameterPackContext UPPC);
/// If the given name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param NameInfo The name (with source location information) that
/// is being checked for unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const DeclarationNameInfo &NameInfo,
UnexpandedParameterPackContext UPPC);
/// If the given template name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The location of the template name.
///
/// \param Template The template name that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc,
TemplateName Template,
UnexpandedParameterPackContext UPPC);
/// If the given template argument contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param Arg The template argument that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(TemplateArgumentLoc Arg,
UnexpandedParameterPackContext UPPC);
/// Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgument Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgumentLoc Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param T The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(QualType T,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param TL The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TypeLoc TL,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// nested-name-specifier.
///
/// \param NNS The nested-name-specifier that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(NestedNameSpecifierLoc NNS,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// name.
///
/// \param NameInfo The name that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(const DeclarationNameInfo &NameInfo,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Invoked when parsing a template argument followed by an
/// ellipsis, which creates a pack expansion.
///
/// \param Arg The template argument preceding the ellipsis, which
/// may already be invalid.
///
/// \param EllipsisLoc The location of the ellipsis.
ParsedTemplateArgument ActOnPackExpansion(const ParsedTemplateArgument &Arg,
SourceLocation EllipsisLoc);
/// Invoked when parsing a type followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Type The type preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
TypeResult ActOnPackExpansion(ParsedType Type, SourceLocation EllipsisLoc);
/// Construct a pack expansion type from the pattern of the pack
/// expansion.
TypeSourceInfo *CheckPackExpansion(TypeSourceInfo *Pattern,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Construct a pack expansion type from the pattern of the pack
/// expansion.
QualType CheckPackExpansion(QualType Pattern,
SourceRange PatternRange,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult ActOnPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc);
/// Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult CheckPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Determine whether we could expand a pack expansion with the
/// given set of parameter packs into separate arguments by repeatedly
/// transforming the pattern.
///
/// \param EllipsisLoc The location of the ellipsis that identifies the
/// pack expansion.
///
/// \param PatternRange The source range that covers the entire pattern of
/// the pack expansion.
///
/// \param Unexpanded The set of unexpanded parameter packs within the
/// pattern.
///
/// \param ShouldExpand Will be set to \c true if the transformer should
/// expand the corresponding pack expansions into separate arguments. When
/// set, \c NumExpansions must also be set.
///
/// \param RetainExpansion Whether the caller should add an unexpanded
/// pack expansion after all of the expanded arguments. This is used
/// when extending explicitly-specified template argument packs per
/// C++0x [temp.arg.explicit]p9.
///
/// \param NumExpansions The number of separate arguments that will be in
/// the expanded form of the corresponding pack expansion. This is both an
/// input and an output parameter, which can be set by the caller if the
/// number of expansions is known a priori (e.g., due to a prior substitution)
/// and will be set by the callee when the number of expansions is known.
/// The callee must set this value when \c ShouldExpand is \c true; it may
/// set this value in other cases.
///
/// \returns true if an error occurred (e.g., because the parameter packs
/// are to be instantiated with arguments of different lengths), false
/// otherwise. If false, \c ShouldExpand (and possibly \c NumExpansions)
/// must be set.
bool CheckParameterPacksForExpansion(SourceLocation EllipsisLoc,
SourceRange PatternRange,
ArrayRef<UnexpandedParameterPack> Unexpanded,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool &ShouldExpand,
bool &RetainExpansion,
Optional<unsigned> &NumExpansions);
/// Determine the number of arguments in the given pack expansion
/// type.
///
/// This routine assumes that the number of arguments in the expansion is
/// consistent across all of the unexpanded parameter packs in its pattern.
///
/// Returns an empty Optional if the type can't be expanded.
Optional<unsigned> getNumArgumentsInExpansion(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Determine whether the given declarator contains any unexpanded
/// parameter packs.
///
/// This routine is used by the parser to disambiguate function declarators
/// with an ellipsis prior to the ')', e.g.,
///
/// \code
/// void f(T...);
/// \endcode
///
/// To determine whether we have an (unnamed) function parameter pack or
/// a variadic function.
///
/// \returns true if the declarator contains any unexpanded parameter packs,
/// false otherwise.
bool containsUnexpandedParameterPacks(Declarator &D);
/// Returns the pattern of the pack expansion for a template argument.
///
/// \param OrigLoc The template argument to expand.
///
/// \param Ellipsis Will be set to the location of the ellipsis.
///
/// \param NumExpansions Will be set to the number of expansions that will
/// be generated from this pack expansion, if known a priori.
TemplateArgumentLoc getTemplateArgumentPackExpansionPattern(
TemplateArgumentLoc OrigLoc,
SourceLocation &Ellipsis,
Optional<unsigned> &NumExpansions) const;
/// Given a template argument that contains an unexpanded parameter pack, but
/// which has already been substituted, attempt to determine the number of
/// elements that will be produced once this argument is fully-expanded.
///
/// This is intended for use when transforming 'sizeof...(Arg)' in order to
/// avoid actually expanding the pack where possible.
Optional<unsigned> getFullyPackExpandedSize(TemplateArgument Arg);
//===--------------------------------------------------------------------===//
// C++ Template Argument Deduction (C++ [temp.deduct])
//===--------------------------------------------------------------------===//
/// Adjust the type \p ArgFunctionType to match the calling convention,
/// noreturn, and optionally the exception specification of \p FunctionType.
/// Deduction often wants to ignore these properties when matching function
/// types.
QualType adjustCCAndNoReturn(QualType ArgFunctionType, QualType FunctionType,
bool AdjustExceptionSpec = false);
/// Describes the result of template argument deduction.
///
/// The TemplateDeductionResult enumeration describes the result of
/// template argument deduction, as returned from
/// DeduceTemplateArguments(). The separate TemplateDeductionInfo
/// structure provides additional information about the results of
/// template argument deduction, e.g., the deduced template argument
/// list (if successful) or the specific template parameters or
/// deduced arguments that were involved in the failure.
enum TemplateDeductionResult {
/// Template argument deduction was successful.
TDK_Success = 0,
/// The declaration was invalid; do nothing.
TDK_Invalid,
/// Template argument deduction exceeded the maximum template
/// instantiation depth (which has already been diagnosed).
TDK_InstantiationDepth,
/// Template argument deduction did not deduce a value
/// for every template parameter.
TDK_Incomplete,
/// Template argument deduction did not deduce a value for every
/// expansion of an expanded template parameter pack.
TDK_IncompletePack,
/// Template argument deduction produced inconsistent
/// deduced values for the given template parameter.
TDK_Inconsistent,
/// Template argument deduction failed due to inconsistent
/// cv-qualifiers on a template parameter type that would
/// otherwise be deduced, e.g., we tried to deduce T in "const T"
/// but were given a non-const "X".
TDK_Underqualified,
/// Substitution of the deduced template argument values
/// resulted in an error.
TDK_SubstitutionFailure,
/// After substituting deduced template arguments, a dependent
/// parameter type did not match the corresponding argument.
TDK_DeducedMismatch,
/// After substituting deduced template arguments, an element of
/// a dependent parameter type did not match the corresponding element
/// of the corresponding argument (when deducing from an initializer list).
TDK_DeducedMismatchNested,
/// A non-depnedent component of the parameter did not match the
/// corresponding component of the argument.
TDK_NonDeducedMismatch,
/// When performing template argument deduction for a function
/// template, there were too many call arguments.
TDK_TooManyArguments,
/// When performing template argument deduction for a function
/// template, there were too few call arguments.
TDK_TooFewArguments,
/// The explicitly-specified template arguments were not valid
/// template arguments for the given template.
TDK_InvalidExplicitArguments,
/// Checking non-dependent argument conversions failed.
TDK_NonDependentConversionFailure,
/// The deduced arguments did not satisfy the constraints associated
/// with the template.
TDK_ConstraintsNotSatisfied,
/// Deduction failed; that's all we know.
TDK_MiscellaneousDeductionFailure,
/// CUDA Target attributes do not match.
TDK_CUDATargetMismatch
};
TemplateDeductionResult
DeduceTemplateArguments(ClassTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(VarTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult SubstituteExplicitTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo &ExplicitTemplateArgs,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
SmallVectorImpl<QualType> &ParamTypes, QualType *FunctionType,
sema::TemplateDeductionInfo &Info);
/// brief A function argument from which we performed template argument
// deduction for a call.
struct OriginalCallArg {
OriginalCallArg(QualType OriginalParamType, bool DecomposedParam,
unsigned ArgIdx, QualType OriginalArgType)
: OriginalParamType(OriginalParamType),
DecomposedParam(DecomposedParam), ArgIdx(ArgIdx),
OriginalArgType(OriginalArgType) {}
QualType OriginalParamType;
bool DecomposedParam;
unsigned ArgIdx;
QualType OriginalArgType;
};
TemplateDeductionResult FinishTemplateArgumentDeduction(
FunctionTemplateDecl *FunctionTemplate,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
unsigned NumExplicitlySpecified, FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
SmallVectorImpl<OriginalCallArg> const *OriginalCallArgs = nullptr,
bool PartialOverloading = false,
llvm::function_ref<bool()> CheckNonDependent = []{ return false; });
TemplateDeductionResult DeduceTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs, ArrayRef<Expr *> Args,
FunctionDecl *&Specialization, sema::TemplateDeductionInfo &Info,
bool PartialOverloading,
llvm::function_ref<bool(ArrayRef<QualType>)> CheckNonDependent);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ArgFunctionType,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
QualType ToType,
CXXConversionDecl *&Specialization,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
/// Substitute Replacement for \p auto in \p TypeWithAuto
QualType SubstAutoType(QualType TypeWithAuto, QualType Replacement);
/// Substitute Replacement for auto in TypeWithAuto
TypeSourceInfo* SubstAutoTypeSourceInfo(TypeSourceInfo *TypeWithAuto,
QualType Replacement);
/// Completely replace the \c auto in \p TypeWithAuto by
/// \p Replacement. This does not retain any \c auto type sugar.
QualType ReplaceAutoType(QualType TypeWithAuto, QualType Replacement);
/// Result type of DeduceAutoType.
enum DeduceAutoResult {
DAR_Succeeded,
DAR_Failed,
DAR_FailedAlreadyDiagnosed
};
DeduceAutoResult
DeduceAutoType(TypeSourceInfo *AutoType, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None);
DeduceAutoResult
DeduceAutoType(TypeLoc AutoTypeLoc, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None);
void DiagnoseAutoDeductionFailure(VarDecl *VDecl, Expr *Init);
bool DeduceReturnType(FunctionDecl *FD, SourceLocation Loc,
bool Diagnose = true);
/// Declare implicit deduction guides for a class template if we've
/// not already done so.
void DeclareImplicitDeductionGuides(TemplateDecl *Template,
SourceLocation Loc);
QualType DeduceTemplateSpecializationFromInitializer(
TypeSourceInfo *TInfo, const InitializedEntity &Entity,
const InitializationKind &Kind, MultiExprArg Init);
QualType deduceVarTypeFromInitializer(VarDecl *VDecl, DeclarationName Name,
QualType Type, TypeSourceInfo *TSI,
SourceRange Range, bool DirectInit,
Expr *Init);
TypeLoc getReturnTypeLoc(FunctionDecl *FD) const;
bool DeduceFunctionTypeFromReturnExpr(FunctionDecl *FD,
SourceLocation ReturnLoc,
Expr *&RetExpr, AutoType *AT);
FunctionTemplateDecl *getMoreSpecializedTemplate(FunctionTemplateDecl *FT1,
FunctionTemplateDecl *FT2,
SourceLocation Loc,
TemplatePartialOrderingContext TPOC,
unsigned NumCallArguments1,
unsigned NumCallArguments2);
UnresolvedSetIterator
getMostSpecialized(UnresolvedSetIterator SBegin, UnresolvedSetIterator SEnd,
TemplateSpecCandidateSet &FailedCandidates,
SourceLocation Loc,
const PartialDiagnostic &NoneDiag,
const PartialDiagnostic &AmbigDiag,
const PartialDiagnostic &CandidateDiag,
bool Complain = true, QualType TargetType = QualType());
ClassTemplatePartialSpecializationDecl *
getMoreSpecializedPartialSpecialization(
ClassTemplatePartialSpecializationDecl *PS1,
ClassTemplatePartialSpecializationDecl *PS2,
SourceLocation Loc);
bool isMoreSpecializedThanPrimary(ClassTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
VarTemplatePartialSpecializationDecl *getMoreSpecializedPartialSpecialization(
VarTemplatePartialSpecializationDecl *PS1,
VarTemplatePartialSpecializationDecl *PS2, SourceLocation Loc);
bool isMoreSpecializedThanPrimary(VarTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
bool isTemplateTemplateParameterAtLeastAsSpecializedAs(
TemplateParameterList *P, TemplateDecl *AArg, SourceLocation Loc);
void MarkUsedTemplateParameters(const Expr *E, bool OnlyDeduced,
unsigned Depth, llvm::SmallBitVector &Used);
void MarkUsedTemplateParameters(const TemplateArgumentList &TemplateArgs,
bool OnlyDeduced,
unsigned Depth,
llvm::SmallBitVector &Used);
void MarkDeducedTemplateParameters(
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced) {
return MarkDeducedTemplateParameters(Context, FunctionTemplate, Deduced);
}
static void MarkDeducedTemplateParameters(ASTContext &Ctx,
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced);
//===--------------------------------------------------------------------===//
// C++ Template Instantiation
//
MultiLevelTemplateArgumentList
getTemplateInstantiationArgs(NamedDecl *D,
const TemplateArgumentList *Innermost = nullptr,
bool RelativeToPrimary = false,
const FunctionDecl *Pattern = nullptr);
/// A context in which code is being synthesized (where a source location
/// alone is not sufficient to identify the context). This covers template
/// instantiation and various forms of implicitly-generated functions.
struct CodeSynthesisContext {
/// The kind of template instantiation we are performing
enum SynthesisKind {
/// We are instantiating a template declaration. The entity is
/// the declaration we're instantiating (e.g., a CXXRecordDecl).
TemplateInstantiation,
/// We are instantiating a default argument for a template
/// parameter. The Entity is the template parameter whose argument is
/// being instantiated, the Template is the template, and the
/// TemplateArgs/NumTemplateArguments provide the template arguments as
/// specified.
DefaultTemplateArgumentInstantiation,
/// We are instantiating a default argument for a function.
/// The Entity is the ParmVarDecl, and TemplateArgs/NumTemplateArgs
/// provides the template arguments as specified.
DefaultFunctionArgumentInstantiation,
/// We are substituting explicit template arguments provided for
/// a function template. The entity is a FunctionTemplateDecl.
ExplicitTemplateArgumentSubstitution,
/// We are substituting template argument determined as part of
/// template argument deduction for either a class template
/// partial specialization or a function template. The
/// Entity is either a {Class|Var}TemplatePartialSpecializationDecl or
/// a TemplateDecl.
DeducedTemplateArgumentSubstitution,
/// We are substituting prior template arguments into a new
/// template parameter. The template parameter itself is either a
/// NonTypeTemplateParmDecl or a TemplateTemplateParmDecl.
PriorTemplateArgumentSubstitution,
/// We are checking the validity of a default template argument that
/// has been used when naming a template-id.
DefaultTemplateArgumentChecking,
/// We are computing the exception specification for a defaulted special
/// member function.
ExceptionSpecEvaluation,
/// We are instantiating the exception specification for a function
/// template which was deferred until it was needed.
ExceptionSpecInstantiation,
/// We are declaring an implicit special member function.
DeclaringSpecialMember,
/// We are declaring an implicit 'operator==' for a defaulted
/// 'operator<=>'.
DeclaringImplicitEqualityComparison,
/// We are defining a synthesized function (such as a defaulted special
/// member).
DefiningSynthesizedFunction,
// We are checking the constraints associated with a constrained entity or
// the constraint expression of a concept. This includes the checks that
// atomic constraints have the type 'bool' and that they can be constant
// evaluated.
ConstraintsCheck,
// We are substituting template arguments into a constraint expression.
ConstraintSubstitution,
// We are normalizing a constraint expression.
ConstraintNormalization,
// We are substituting into the parameter mapping of an atomic constraint
// during normalization.
ParameterMappingSubstitution,
/// We are rewriting a comparison operator in terms of an operator<=>.
RewritingOperatorAsSpaceship,
/// Added for Template instantiation observation.
/// Memoization means we are _not_ instantiating a template because
/// it is already instantiated (but we entered a context where we
/// would have had to if it was not already instantiated).
Memoization
} Kind;
/// Was the enclosing context a non-instantiation SFINAE context?
bool SavedInNonInstantiationSFINAEContext;
/// The point of instantiation or synthesis within the source code.
SourceLocation PointOfInstantiation;
/// The entity that is being synthesized.
Decl *Entity;
/// The template (or partial specialization) in which we are
/// performing the instantiation, for substitutions of prior template
/// arguments.
NamedDecl *Template;
/// The list of template arguments we are substituting, if they
/// are not part of the entity.
const TemplateArgument *TemplateArgs;
// FIXME: Wrap this union around more members, or perhaps store the
// kind-specific members in the RAII object owning the context.
union {
/// The number of template arguments in TemplateArgs.
unsigned NumTemplateArgs;
/// The special member being declared or defined.
CXXSpecialMember SpecialMember;
};
ArrayRef<TemplateArgument> template_arguments() const {
assert(Kind != DeclaringSpecialMember);
return {TemplateArgs, NumTemplateArgs};
}
/// The template deduction info object associated with the
/// substitution or checking of explicit or deduced template arguments.
sema::TemplateDeductionInfo *DeductionInfo;
/// The source range that covers the construct that cause
/// the instantiation, e.g., the template-id that causes a class
/// template instantiation.
SourceRange InstantiationRange;
CodeSynthesisContext()
: Kind(TemplateInstantiation),
SavedInNonInstantiationSFINAEContext(false), Entity(nullptr),
Template(nullptr), TemplateArgs(nullptr), NumTemplateArgs(0),
DeductionInfo(nullptr) {}
/// Determines whether this template is an actual instantiation
/// that should be counted toward the maximum instantiation depth.
bool isInstantiationRecord() const;
};
/// List of active code synthesis contexts.
///
/// This vector is treated as a stack. As synthesis of one entity requires
/// synthesis of another, additional contexts are pushed onto the stack.
SmallVector<CodeSynthesisContext, 16> CodeSynthesisContexts;
/// Specializations whose definitions are currently being instantiated.
llvm::DenseSet<std::pair<Decl *, unsigned>> InstantiatingSpecializations;
/// Non-dependent types used in templates that have already been instantiated
/// by some template instantiation.
llvm::DenseSet<QualType> InstantiatedNonDependentTypes;
/// Extra modules inspected when performing a lookup during a template
/// instantiation. Computed lazily.
SmallVector<Module*, 16> CodeSynthesisContextLookupModules;
/// Cache of additional modules that should be used for name lookup
/// within the current template instantiation. Computed lazily; use
/// getLookupModules() to get a complete set.
llvm::DenseSet<Module*> LookupModulesCache;
/// Get the set of additional modules that should be checked during
/// name lookup. A module and its imports become visible when instanting a
/// template defined within it.
llvm::DenseSet<Module*> &getLookupModules();
/// Map from the most recent declaration of a namespace to the most
/// recent visible declaration of that namespace.
llvm::DenseMap<NamedDecl*, NamedDecl*> VisibleNamespaceCache;
/// Whether we are in a SFINAE context that is not associated with
/// template instantiation.
///
/// This is used when setting up a SFINAE trap (\c see SFINAETrap) outside
/// of a template instantiation or template argument deduction.
bool InNonInstantiationSFINAEContext;
/// The number of \p CodeSynthesisContexts that are not template
/// instantiations and, therefore, should not be counted as part of the
/// instantiation depth.
///
/// When the instantiation depth reaches the user-configurable limit
/// \p LangOptions::InstantiationDepth we will abort instantiation.
// FIXME: Should we have a similar limit for other forms of synthesis?
unsigned NonInstantiationEntries;
/// The depth of the context stack at the point when the most recent
/// error or warning was produced.
///
/// This value is used to suppress printing of redundant context stacks
/// when there are multiple errors or warnings in the same instantiation.
// FIXME: Does this belong in Sema? It's tough to implement it anywhere else.
unsigned LastEmittedCodeSynthesisContextDepth = 0;
/// The template instantiation callbacks to trace or track
/// instantiations (objects can be chained).
///
/// This callbacks is used to print, trace or track template
/// instantiations as they are being constructed.
std::vector<std::unique_ptr<TemplateInstantiationCallback>>
TemplateInstCallbacks;
/// The current index into pack expansion arguments that will be
/// used for substitution of parameter packs.
///
/// The pack expansion index will be -1 to indicate that parameter packs
/// should be instantiated as themselves. Otherwise, the index specifies
/// which argument within the parameter pack will be used for substitution.
int ArgumentPackSubstitutionIndex;
/// RAII object used to change the argument pack substitution index
/// within a \c Sema object.
///
/// See \c ArgumentPackSubstitutionIndex for more information.
class ArgumentPackSubstitutionIndexRAII {
Sema &Self;
int OldSubstitutionIndex;
public:
ArgumentPackSubstitutionIndexRAII(Sema &Self, int NewSubstitutionIndex)
: Self(Self), OldSubstitutionIndex(Self.ArgumentPackSubstitutionIndex) {
Self.ArgumentPackSubstitutionIndex = NewSubstitutionIndex;
}
~ArgumentPackSubstitutionIndexRAII() {
Self.ArgumentPackSubstitutionIndex = OldSubstitutionIndex;
}
};
friend class ArgumentPackSubstitutionRAII;
/// For each declaration that involved template argument deduction, the
/// set of diagnostics that were suppressed during that template argument
/// deduction.
///
/// FIXME: Serialize this structure to the AST file.
typedef llvm::DenseMap<Decl *, SmallVector<PartialDiagnosticAt, 1> >
SuppressedDiagnosticsMap;
SuppressedDiagnosticsMap SuppressedDiagnostics;
/// A stack object to be created when performing template
/// instantiation.
///
/// Construction of an object of type \c InstantiatingTemplate
/// pushes the current instantiation onto the stack of active
/// instantiations. If the size of this stack exceeds the maximum
/// number of recursive template instantiations, construction
/// produces an error and evaluates true.
///
/// Destruction of this object will pop the named instantiation off
/// the stack.
struct InstantiatingTemplate {
/// Note that we are instantiating a class template,
/// function template, variable template, alias template,
/// or a member thereof.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
Decl *Entity,
SourceRange InstantiationRange = SourceRange());
struct ExceptionSpecification {};
/// Note that we are instantiating an exception specification
/// of a function template.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionDecl *Entity, ExceptionSpecification,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating a default argument in a
/// template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateParameter Param, TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// Note that we are substituting either explicitly-specified or
/// deduced template arguments during function template argument deduction.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionTemplateDecl *FunctionTemplate,
ArrayRef<TemplateArgument> TemplateArgs,
CodeSynthesisContext::SynthesisKind Kind,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a class template declaration.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a class template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ClassTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a variable template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
VarTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating a default argument for a function
/// parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ParmVarDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// Note that we are substituting prior template arguments into a
/// non-type parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
NonTypeTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// Note that we are substituting prior template arguments into a
/// template template parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
TemplateTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// Note that we are checking the default template argument
/// against the template parameter for a given template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
NamedDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
struct ConstraintsCheck {};
/// \brief Note that we are checking the constraints associated with some
/// constrained entity (a concept declaration or a template with associated
/// constraints).
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ConstraintsCheck, NamedDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
struct ConstraintSubstitution {};
/// \brief Note that we are checking a constraint expression associated
/// with a template declaration or as part of the satisfaction check of a
/// concept.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ConstraintSubstitution, NamedDecl *Template,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange);
struct ConstraintNormalization {};
/// \brief Note that we are normalizing a constraint expression.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ConstraintNormalization, NamedDecl *Template,
SourceRange InstantiationRange);
struct ParameterMappingSubstitution {};
/// \brief Note that we are subtituting into the parameter mapping of an
/// atomic constraint during constraint normalization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ParameterMappingSubstitution, NamedDecl *Template,
SourceRange InstantiationRange);
/// Note that we have finished instantiating this template.
void Clear();
~InstantiatingTemplate() { Clear(); }
/// Determines whether we have exceeded the maximum
/// recursive template instantiations.
bool isInvalid() const { return Invalid; }
/// Determine whether we are already instantiating this
/// specialization in some surrounding active instantiation.
bool isAlreadyInstantiating() const { return AlreadyInstantiating; }
private:
Sema &SemaRef;
bool Invalid;
bool AlreadyInstantiating;
bool CheckInstantiationDepth(SourceLocation PointOfInstantiation,
SourceRange InstantiationRange);
InstantiatingTemplate(
Sema &SemaRef, CodeSynthesisContext::SynthesisKind Kind,
SourceLocation PointOfInstantiation, SourceRange InstantiationRange,
Decl *Entity, NamedDecl *Template = nullptr,
ArrayRef<TemplateArgument> TemplateArgs = None,
sema::TemplateDeductionInfo *DeductionInfo = nullptr);
InstantiatingTemplate(const InstantiatingTemplate&) = delete;
InstantiatingTemplate&
operator=(const InstantiatingTemplate&) = delete;
};
void pushCodeSynthesisContext(CodeSynthesisContext Ctx);
void popCodeSynthesisContext();
/// Determine whether we are currently performing template instantiation.
bool inTemplateInstantiation() const {
return CodeSynthesisContexts.size() > NonInstantiationEntries;
}
void PrintContextStack() {
if (!CodeSynthesisContexts.empty() &&
CodeSynthesisContexts.size() != LastEmittedCodeSynthesisContextDepth) {
PrintInstantiationStack();
LastEmittedCodeSynthesisContextDepth = CodeSynthesisContexts.size();
}
if (PragmaAttributeCurrentTargetDecl)
PrintPragmaAttributeInstantiationPoint();
}
void PrintInstantiationStack();
void PrintPragmaAttributeInstantiationPoint();
/// Determines whether we are currently in a context where
/// template argument substitution failures are not considered
/// errors.
///
/// \returns An empty \c Optional if we're not in a SFINAE context.
/// Otherwise, contains a pointer that, if non-NULL, contains the nearest
/// template-deduction context object, which can be used to capture
/// diagnostics that will be suppressed.
Optional<sema::TemplateDeductionInfo *> isSFINAEContext() const;
/// Determines whether we are currently in a context that
/// is not evaluated as per C++ [expr] p5.
bool isUnevaluatedContext() const {
assert(!ExprEvalContexts.empty() &&
"Must be in an expression evaluation context");
return ExprEvalContexts.back().isUnevaluated();
}
/// RAII class used to determine whether SFINAE has
/// trapped any errors that occur during template argument
/// deduction.
class SFINAETrap {
Sema &SemaRef;
unsigned PrevSFINAEErrors;
bool PrevInNonInstantiationSFINAEContext;
bool PrevAccessCheckingSFINAE;
bool PrevLastDiagnosticIgnored;
public:
explicit SFINAETrap(Sema &SemaRef, bool AccessCheckingSFINAE = false)
: SemaRef(SemaRef), PrevSFINAEErrors(SemaRef.NumSFINAEErrors),
PrevInNonInstantiationSFINAEContext(
SemaRef.InNonInstantiationSFINAEContext),
PrevAccessCheckingSFINAE(SemaRef.AccessCheckingSFINAE),
PrevLastDiagnosticIgnored(
SemaRef.getDiagnostics().isLastDiagnosticIgnored())
{
if (!SemaRef.isSFINAEContext())
SemaRef.InNonInstantiationSFINAEContext = true;
SemaRef.AccessCheckingSFINAE = AccessCheckingSFINAE;
}
~SFINAETrap() {
SemaRef.NumSFINAEErrors = PrevSFINAEErrors;
SemaRef.InNonInstantiationSFINAEContext
= PrevInNonInstantiationSFINAEContext;
SemaRef.AccessCheckingSFINAE = PrevAccessCheckingSFINAE;
SemaRef.getDiagnostics().setLastDiagnosticIgnored(
PrevLastDiagnosticIgnored);
}
/// Determine whether any SFINAE errors have been trapped.
bool hasErrorOccurred() const {
return SemaRef.NumSFINAEErrors > PrevSFINAEErrors;
}
};
/// RAII class used to indicate that we are performing provisional
/// semantic analysis to determine the validity of a construct, so
/// typo-correction and diagnostics in the immediate context (not within
/// implicitly-instantiated templates) should be suppressed.
class TentativeAnalysisScope {
Sema &SemaRef;
// FIXME: Using a SFINAETrap for this is a hack.
SFINAETrap Trap;
bool PrevDisableTypoCorrection;
public:
explicit TentativeAnalysisScope(Sema &SemaRef)
: SemaRef(SemaRef), Trap(SemaRef, true),
PrevDisableTypoCorrection(SemaRef.DisableTypoCorrection) {
SemaRef.DisableTypoCorrection = true;
}
~TentativeAnalysisScope() {
SemaRef.DisableTypoCorrection = PrevDisableTypoCorrection;
}
};
/// The current instantiation scope used to store local
/// variables.
LocalInstantiationScope *CurrentInstantiationScope;
/// Tracks whether we are in a context where typo correction is
/// disabled.
bool DisableTypoCorrection;
/// The number of typos corrected by CorrectTypo.
unsigned TyposCorrected;
typedef llvm::SmallSet<SourceLocation, 2> SrcLocSet;
typedef llvm::DenseMap<IdentifierInfo *, SrcLocSet> IdentifierSourceLocations;
/// A cache containing identifiers for which typo correction failed and
/// their locations, so that repeated attempts to correct an identifier in a
/// given location are ignored if typo correction already failed for it.
IdentifierSourceLocations TypoCorrectionFailures;
/// Worker object for performing CFG-based warnings.
sema::AnalysisBasedWarnings AnalysisWarnings;
threadSafety::BeforeSet *ThreadSafetyDeclCache;
/// An entity for which implicit template instantiation is required.
///
/// The source location associated with the declaration is the first place in
/// the source code where the declaration was "used". It is not necessarily
/// the point of instantiation (which will be either before or after the
/// namespace-scope declaration that triggered this implicit instantiation),
/// However, it is the location that diagnostics should generally refer to,
/// because users will need to know what code triggered the instantiation.
typedef std::pair<ValueDecl *, SourceLocation> PendingImplicitInstantiation;
/// The queue of implicit template instantiations that are required
/// but have not yet been performed.
std::deque<PendingImplicitInstantiation> PendingInstantiations;
/// Queue of implicit template instantiations that cannot be performed
/// eagerly.
SmallVector<PendingImplicitInstantiation, 1> LateParsedInstantiations;
class GlobalEagerInstantiationScope {
public:
GlobalEagerInstantiationScope(Sema &S, bool Enabled)
: S(S), Enabled(Enabled) {
if (!Enabled) return;
SavedPendingInstantiations.swap(S.PendingInstantiations);
SavedVTableUses.swap(S.VTableUses);
}
void perform() {
if (Enabled) {
S.DefineUsedVTables();
S.PerformPendingInstantiations();
}
}
~GlobalEagerInstantiationScope() {
if (!Enabled) return;
// Restore the set of pending vtables.
assert(S.VTableUses.empty() &&
"VTableUses should be empty before it is discarded.");
S.VTableUses.swap(SavedVTableUses);
// Restore the set of pending implicit instantiations.
assert(S.PendingInstantiations.empty() &&
"PendingInstantiations should be empty before it is discarded.");
S.PendingInstantiations.swap(SavedPendingInstantiations);
}
private:
Sema &S;
SmallVector<VTableUse, 16> SavedVTableUses;
std::deque<PendingImplicitInstantiation> SavedPendingInstantiations;
bool Enabled;
};
/// The queue of implicit template instantiations that are required
/// and must be performed within the current local scope.
///
/// This queue is only used for member functions of local classes in
/// templates, which must be instantiated in the same scope as their
/// enclosing function, so that they can reference function-local
/// types, static variables, enumerators, etc.
std::deque<PendingImplicitInstantiation> PendingLocalImplicitInstantiations;
class LocalEagerInstantiationScope {
public:
LocalEagerInstantiationScope(Sema &S) : S(S) {
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
void perform() { S.PerformPendingInstantiations(/*LocalOnly=*/true); }
~LocalEagerInstantiationScope() {
assert(S.PendingLocalImplicitInstantiations.empty() &&
"there shouldn't be any pending local implicit instantiations");
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
private:
Sema &S;
std::deque<PendingImplicitInstantiation>
SavedPendingLocalImplicitInstantiations;
};
/// A helper class for building up ExtParameterInfos.
class ExtParameterInfoBuilder {
SmallVector<FunctionProtoType::ExtParameterInfo, 16> Infos;
bool HasInteresting = false;
public:
/// Set the ExtParameterInfo for the parameter at the given index,
///
void set(unsigned index, FunctionProtoType::ExtParameterInfo info) {
assert(Infos.size() <= index);
Infos.resize(index);
Infos.push_back(info);
if (!HasInteresting)
HasInteresting = (info != FunctionProtoType::ExtParameterInfo());
}
/// Return a pointer (suitable for setting in an ExtProtoInfo) to the
/// ExtParameterInfo array we've built up.
const FunctionProtoType::ExtParameterInfo *
getPointerOrNull(unsigned numParams) {
if (!HasInteresting) return nullptr;
Infos.resize(numParams);
return Infos.data();
}
};
void PerformPendingInstantiations(bool LocalOnly = false);
TypeSourceInfo *SubstType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity,
bool AllowDeducedTST = false);
QualType SubstType(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstType(TypeLoc TL,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstFunctionDeclType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc,
DeclarationName Entity,
CXXRecordDecl *ThisContext,
Qualifiers ThisTypeQuals);
void SubstExceptionSpec(FunctionDecl *New, const FunctionProtoType *Proto,
const MultiLevelTemplateArgumentList &Args);
bool SubstExceptionSpec(SourceLocation Loc,
FunctionProtoType::ExceptionSpecInfo &ESI,
SmallVectorImpl<QualType> &ExceptionStorage,
const MultiLevelTemplateArgumentList &Args);
ParmVarDecl *SubstParmVarDecl(ParmVarDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
int indexAdjustment,
Optional<unsigned> NumExpansions,
bool ExpectParameterPack);
bool SubstParmTypes(SourceLocation Loc, ArrayRef<ParmVarDecl *> Params,
const FunctionProtoType::ExtParameterInfo *ExtParamInfos,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<QualType> &ParamTypes,
SmallVectorImpl<ParmVarDecl *> *OutParams,
ExtParameterInfoBuilder &ParamInfos);
ExprResult SubstExpr(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Substitute the given template arguments into a list of
/// expressions, expanding pack expansions if required.
///
/// \param Exprs The list of expressions to substitute into.
///
/// \param IsCall Whether this is some form of call, in which case
/// default arguments will be dropped.
///
/// \param TemplateArgs The set of template arguments to substitute.
///
/// \param Outputs Will receive all of the substituted arguments.
///
/// \returns true if an error occurred, false otherwise.
bool SubstExprs(ArrayRef<Expr *> Exprs, bool IsCall,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<Expr *> &Outputs);
StmtResult SubstStmt(Stmt *S,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateParameterList *
SubstTemplateParams(TemplateParameterList *Params, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool
SubstTemplateArguments(ArrayRef<TemplateArgumentLoc> Args,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateArgumentListInfo &Outputs);
Decl *SubstDecl(Decl *D, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Substitute the name and return type of a defaulted 'operator<=>' to form
/// an implicit 'operator=='.
FunctionDecl *SubstSpaceshipAsEqualEqual(CXXRecordDecl *RD,
FunctionDecl *Spaceship);
ExprResult SubstInitializer(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool CXXDirectInit);
bool
SubstBaseSpecifiers(CXXRecordDecl *Instantiation,
CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool
InstantiateClass(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation, CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK,
bool Complain = true);
bool InstantiateEnum(SourceLocation PointOfInstantiation,
EnumDecl *Instantiation, EnumDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
bool InstantiateInClassInitializer(
SourceLocation PointOfInstantiation, FieldDecl *Instantiation,
FieldDecl *Pattern, const MultiLevelTemplateArgumentList &TemplateArgs);
struct LateInstantiatedAttribute {
const Attr *TmplAttr;
LocalInstantiationScope *Scope;
Decl *NewDecl;
LateInstantiatedAttribute(const Attr *A, LocalInstantiationScope *S,
Decl *D)
: TmplAttr(A), Scope(S), NewDecl(D)
{ }
};
typedef SmallVector<LateInstantiatedAttribute, 16> LateInstantiatedAttrVec;
void InstantiateAttrs(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
void
InstantiateAttrsForDecl(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
bool usesPartialOrExplicitSpecialization(
SourceLocation Loc, ClassTemplateSpecializationDecl *ClassTemplateSpec);
bool
InstantiateClassTemplateSpecialization(SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK,
bool Complain = true);
void InstantiateClassMembers(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
void InstantiateClassTemplateSpecializationMembers(
SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK);
NestedNameSpecifierLoc
SubstNestedNameSpecifierLoc(NestedNameSpecifierLoc NNS,
const MultiLevelTemplateArgumentList &TemplateArgs);
DeclarationNameInfo
SubstDeclarationNameInfo(const DeclarationNameInfo &NameInfo,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateName
SubstTemplateName(NestedNameSpecifierLoc QualifierLoc, TemplateName Name,
SourceLocation Loc,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool Subst(const TemplateArgumentLoc *Args, unsigned NumArgs,
TemplateArgumentListInfo &Result,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateExceptionSpec(SourceLocation PointOfInstantiation,
FunctionDecl *Function);
FunctionDecl *InstantiateFunctionDeclaration(FunctionTemplateDecl *FTD,
const TemplateArgumentList *Args,
SourceLocation Loc);
void InstantiateFunctionDefinition(SourceLocation PointOfInstantiation,
FunctionDecl *Function,
bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
VarTemplateSpecializationDecl *BuildVarTemplateInstantiation(
VarTemplateDecl *VarTemplate, VarDecl *FromVar,
const TemplateArgumentList &TemplateArgList,
const TemplateArgumentListInfo &TemplateArgsInfo,
SmallVectorImpl<TemplateArgument> &Converted,
SourceLocation PointOfInstantiation, void *InsertPos,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *StartingScope = nullptr);
VarTemplateSpecializationDecl *CompleteVarTemplateSpecializationDecl(
VarTemplateSpecializationDecl *VarSpec, VarDecl *PatternDecl,
const MultiLevelTemplateArgumentList &TemplateArgs);
void
BuildVariableInstantiation(VarDecl *NewVar, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs,
LateInstantiatedAttrVec *LateAttrs,
DeclContext *Owner,
LocalInstantiationScope *StartingScope,
bool InstantiatingVarTemplate = false,
VarTemplateSpecializationDecl *PrevVTSD = nullptr);
VarDecl *getVarTemplateSpecialization(
VarTemplateDecl *VarTempl, const TemplateArgumentListInfo *TemplateArgs,
const DeclarationNameInfo &MemberNameInfo, SourceLocation TemplateKWLoc);
void InstantiateVariableInitializer(
VarDecl *Var, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateVariableDefinition(SourceLocation PointOfInstantiation,
VarDecl *Var, bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
void InstantiateMemInitializers(CXXConstructorDecl *New,
const CXXConstructorDecl *Tmpl,
const MultiLevelTemplateArgumentList &TemplateArgs);
NamedDecl *FindInstantiatedDecl(SourceLocation Loc, NamedDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool FindingInstantiatedContext = false);
DeclContext *FindInstantiatedContext(SourceLocation Loc, DeclContext *DC,
const MultiLevelTemplateArgumentList &TemplateArgs);
// Objective-C declarations.
enum ObjCContainerKind {
OCK_None = -1,
OCK_Interface = 0,
OCK_Protocol,
OCK_Category,
OCK_ClassExtension,
OCK_Implementation,
OCK_CategoryImplementation
};
ObjCContainerKind getObjCContainerKind() const;
DeclResult actOnObjCTypeParam(Scope *S,
ObjCTypeParamVariance variance,
SourceLocation varianceLoc,
unsigned index,
IdentifierInfo *paramName,
SourceLocation paramLoc,
SourceLocation colonLoc,
ParsedType typeBound);
ObjCTypeParamList *actOnObjCTypeParamList(Scope *S, SourceLocation lAngleLoc,
ArrayRef<Decl *> typeParams,
SourceLocation rAngleLoc);
void popObjCTypeParamList(Scope *S, ObjCTypeParamList *typeParamList);
Decl *ActOnStartClassInterface(
Scope *S, SourceLocation AtInterfaceLoc, IdentifierInfo *ClassName,
SourceLocation ClassLoc, ObjCTypeParamList *typeParamList,
IdentifierInfo *SuperName, SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs, SourceRange SuperTypeArgsRange,
Decl *const *ProtoRefs, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs, SourceLocation EndProtoLoc,
const ParsedAttributesView &AttrList);
void ActOnSuperClassOfClassInterface(Scope *S,
SourceLocation AtInterfaceLoc,
ObjCInterfaceDecl *IDecl,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *SuperName,
SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs,
SourceRange SuperTypeArgsRange);
void ActOnTypedefedProtocols(SmallVectorImpl<Decl *> &ProtocolRefs,
SmallVectorImpl<SourceLocation> &ProtocolLocs,
IdentifierInfo *SuperName,
SourceLocation SuperLoc);
Decl *ActOnCompatibilityAlias(
SourceLocation AtCompatibilityAliasLoc,
IdentifierInfo *AliasName, SourceLocation AliasLocation,
IdentifierInfo *ClassName, SourceLocation ClassLocation);
bool CheckForwardProtocolDeclarationForCircularDependency(
IdentifierInfo *PName,
SourceLocation &PLoc, SourceLocation PrevLoc,
const ObjCList<ObjCProtocolDecl> &PList);
Decl *ActOnStartProtocolInterface(
SourceLocation AtProtoInterfaceLoc, IdentifierInfo *ProtocolName,
SourceLocation ProtocolLoc, Decl *const *ProtoRefNames,
unsigned NumProtoRefs, const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc, const ParsedAttributesView &AttrList);
Decl *ActOnStartCategoryInterface(
SourceLocation AtInterfaceLoc, IdentifierInfo *ClassName,
SourceLocation ClassLoc, ObjCTypeParamList *typeParamList,
IdentifierInfo *CategoryName, SourceLocation CategoryLoc,
Decl *const *ProtoRefs, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs, SourceLocation EndProtoLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnStartClassImplementation(SourceLocation AtClassImplLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *SuperClassname,
SourceLocation SuperClassLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnStartCategoryImplementation(SourceLocation AtCatImplLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *CatName,
SourceLocation CatLoc,
const ParsedAttributesView &AttrList);
DeclGroupPtrTy ActOnFinishObjCImplementation(Decl *ObjCImpDecl,
ArrayRef<Decl *> Decls);
DeclGroupPtrTy ActOnForwardClassDeclaration(SourceLocation Loc,
IdentifierInfo **IdentList,
SourceLocation *IdentLocs,
ArrayRef<ObjCTypeParamList *> TypeParamLists,
unsigned NumElts);
DeclGroupPtrTy
ActOnForwardProtocolDeclaration(SourceLocation AtProtoclLoc,
ArrayRef<IdentifierLocPair> IdentList,
const ParsedAttributesView &attrList);
void FindProtocolDeclaration(bool WarnOnDeclarations, bool ForObjCContainer,
ArrayRef<IdentifierLocPair> ProtocolId,
SmallVectorImpl<Decl *> &Protocols);
void DiagnoseTypeArgsAndProtocols(IdentifierInfo *ProtocolId,
SourceLocation ProtocolLoc,
IdentifierInfo *TypeArgId,
SourceLocation TypeArgLoc,
bool SelectProtocolFirst = false);
/// Given a list of identifiers (and their locations), resolve the
/// names to either Objective-C protocol qualifiers or type
/// arguments, as appropriate.
void actOnObjCTypeArgsOrProtocolQualifiers(
Scope *S,
ParsedType baseType,
SourceLocation lAngleLoc,
ArrayRef<IdentifierInfo *> identifiers,
ArrayRef<SourceLocation> identifierLocs,
SourceLocation rAngleLoc,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SourceLocation &protocolRAngleLoc,
bool warnOnIncompleteProtocols);
/// Build a an Objective-C protocol-qualified 'id' type where no
/// base type was specified.
TypeResult actOnObjCProtocolQualifierType(
SourceLocation lAngleLoc,
ArrayRef<Decl *> protocols,
ArrayRef<SourceLocation> protocolLocs,
SourceLocation rAngleLoc);
/// Build a specialized and/or protocol-qualified Objective-C type.
TypeResult actOnObjCTypeArgsAndProtocolQualifiers(
Scope *S,
SourceLocation Loc,
ParsedType BaseType,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<ParsedType> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<Decl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc);
/// Build an Objective-C type parameter type.
QualType BuildObjCTypeParamType(const ObjCTypeParamDecl *Decl,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Build an Objective-C object pointer type.
QualType BuildObjCObjectType(QualType BaseType,
SourceLocation Loc,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<TypeSourceInfo *> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Ensure attributes are consistent with type.
/// \param [in, out] Attributes The attributes to check; they will
/// be modified to be consistent with \p PropertyTy.
void CheckObjCPropertyAttributes(Decl *PropertyPtrTy,
SourceLocation Loc,
unsigned &Attributes,
bool propertyInPrimaryClass);
/// Process the specified property declaration and create decls for the
/// setters and getters as needed.
/// \param property The property declaration being processed
void ProcessPropertyDecl(ObjCPropertyDecl *property);
void DiagnosePropertyMismatch(ObjCPropertyDecl *Property,
ObjCPropertyDecl *SuperProperty,
const IdentifierInfo *Name,
bool OverridingProtocolProperty);
void DiagnoseClassExtensionDupMethods(ObjCCategoryDecl *CAT,
ObjCInterfaceDecl *ID);
Decl *ActOnAtEnd(Scope *S, SourceRange AtEnd,
ArrayRef<Decl *> allMethods = None,
ArrayRef<DeclGroupPtrTy> allTUVars = None);
Decl *ActOnProperty(Scope *S, SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD, ObjCDeclSpec &ODS,
Selector GetterSel, Selector SetterSel,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
Decl *ActOnPropertyImplDecl(Scope *S,
SourceLocation AtLoc,
SourceLocation PropertyLoc,
bool ImplKind,
IdentifierInfo *PropertyId,
IdentifierInfo *PropertyIvar,
SourceLocation PropertyIvarLoc,
ObjCPropertyQueryKind QueryKind);
enum ObjCSpecialMethodKind {
OSMK_None,
OSMK_Alloc,
OSMK_New,
OSMK_Copy,
OSMK_RetainingInit,
OSMK_NonRetainingInit
};
struct ObjCArgInfo {
IdentifierInfo *Name;
SourceLocation NameLoc;
// The Type is null if no type was specified, and the DeclSpec is invalid
// in this case.
ParsedType Type;
ObjCDeclSpec DeclSpec;
/// ArgAttrs - Attribute list for this argument.
ParsedAttributesView ArgAttrs;
};
Decl *ActOnMethodDeclaration(
Scope *S,
SourceLocation BeginLoc, // location of the + or -.
SourceLocation EndLoc, // location of the ; or {.
tok::TokenKind MethodType, ObjCDeclSpec &ReturnQT, ParsedType ReturnType,
ArrayRef<SourceLocation> SelectorLocs, Selector Sel,
// optional arguments. The number of types/arguments is obtained
// from the Sel.getNumArgs().
ObjCArgInfo *ArgInfo, DeclaratorChunk::ParamInfo *CParamInfo,
unsigned CNumArgs, // c-style args
const ParsedAttributesView &AttrList, tok::ObjCKeywordKind MethodImplKind,
bool isVariadic, bool MethodDefinition);
ObjCMethodDecl *LookupMethodInQualifiedType(Selector Sel,
const ObjCObjectPointerType *OPT,
bool IsInstance);
ObjCMethodDecl *LookupMethodInObjectType(Selector Sel, QualType Ty,
bool IsInstance);
bool CheckARCMethodDecl(ObjCMethodDecl *method);
bool inferObjCARCLifetime(ValueDecl *decl);
void deduceOpenCLAddressSpace(ValueDecl *decl);
ExprResult
HandleExprPropertyRefExpr(const ObjCObjectPointerType *OPT,
Expr *BaseExpr,
SourceLocation OpLoc,
DeclarationName MemberName,
SourceLocation MemberLoc,
SourceLocation SuperLoc, QualType SuperType,
bool Super);
ExprResult
ActOnClassPropertyRefExpr(IdentifierInfo &receiverName,
IdentifierInfo &propertyName,
SourceLocation receiverNameLoc,
SourceLocation propertyNameLoc);
ObjCMethodDecl *tryCaptureObjCSelf(SourceLocation Loc);
/// Describes the kind of message expression indicated by a message
/// send that starts with an identifier.
enum ObjCMessageKind {
/// The message is sent to 'super'.
ObjCSuperMessage,
/// The message is an instance message.
ObjCInstanceMessage,
/// The message is a class message, and the identifier is a type
/// name.
ObjCClassMessage
};
ObjCMessageKind getObjCMessageKind(Scope *S,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool IsSuper,
bool HasTrailingDot,
ParsedType &ReceiverType);
ExprResult ActOnSuperMessage(Scope *S, SourceLocation SuperLoc,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildClassMessage(TypeSourceInfo *ReceiverTypeInfo,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildClassMessageImplicit(QualType ReceiverType,
bool isSuperReceiver,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnClassMessage(Scope *S,
ParsedType Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildInstanceMessage(Expr *Receiver,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildInstanceMessageImplicit(Expr *Receiver,
QualType ReceiverType,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnInstanceMessage(Scope *S,
Expr *Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildObjCBridgedCast(SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
TypeSourceInfo *TSInfo,
Expr *SubExpr);
ExprResult ActOnObjCBridgedCast(Scope *S,
SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
ParsedType Type,
SourceLocation RParenLoc,
Expr *SubExpr);
void CheckTollFreeBridgeCast(QualType castType, Expr *castExpr);
void CheckObjCBridgeRelatedCast(QualType castType, Expr *castExpr);
bool CheckTollFreeBridgeStaticCast(QualType castType, Expr *castExpr,
CastKind &Kind);
bool checkObjCBridgeRelatedComponents(SourceLocation Loc,
QualType DestType, QualType SrcType,
ObjCInterfaceDecl *&RelatedClass,
ObjCMethodDecl *&ClassMethod,
ObjCMethodDecl *&InstanceMethod,
TypedefNameDecl *&TDNDecl,
bool CfToNs, bool Diagnose = true);
bool CheckObjCBridgeRelatedConversions(SourceLocation Loc,
QualType DestType, QualType SrcType,
Expr *&SrcExpr, bool Diagnose = true);
bool ConversionToObjCStringLiteralCheck(QualType DstType, Expr *&SrcExpr,
bool Diagnose = true);
bool checkInitMethod(ObjCMethodDecl *method, QualType receiverTypeIfCall);
/// Check whether the given new method is a valid override of the
/// given overridden method, and set any properties that should be inherited.
void CheckObjCMethodOverride(ObjCMethodDecl *NewMethod,
const ObjCMethodDecl *Overridden);
/// Describes the compatibility of a result type with its method.
enum ResultTypeCompatibilityKind {
RTC_Compatible,
RTC_Incompatible,
RTC_Unknown
};
/// Check whether the declared result type of the given Objective-C
/// method declaration is compatible with the method's class.
ResultTypeCompatibilityKind
checkRelatedResultTypeCompatibility(const ObjCMethodDecl *Method,
const ObjCInterfaceDecl *CurrentClass);
void CheckObjCMethodDirectOverrides(ObjCMethodDecl *method,
ObjCMethodDecl *overridden);
void CheckObjCMethodOverrides(ObjCMethodDecl *ObjCMethod,
ObjCInterfaceDecl *CurrentClass,
ResultTypeCompatibilityKind RTC);
enum PragmaOptionsAlignKind {
POAK_Native, // #pragma options align=native
POAK_Natural, // #pragma options align=natural
POAK_Packed, // #pragma options align=packed
POAK_Power, // #pragma options align=power
POAK_Mac68k, // #pragma options align=mac68k
POAK_Reset // #pragma options align=reset
};
/// ActOnPragmaClangSection - Called on well formed \#pragma clang section
void ActOnPragmaClangSection(SourceLocation PragmaLoc,
PragmaClangSectionAction Action,
PragmaClangSectionKind SecKind, StringRef SecName);
/// ActOnPragmaOptionsAlign - Called on well formed \#pragma options align.
void ActOnPragmaOptionsAlign(PragmaOptionsAlignKind Kind,
SourceLocation PragmaLoc);
/// ActOnPragmaPack - Called on well formed \#pragma pack(...).
void ActOnPragmaPack(SourceLocation PragmaLoc, PragmaMsStackAction Action,
StringRef SlotLabel, Expr *Alignment);
enum class PragmaPackDiagnoseKind {
NonDefaultStateAtInclude,
ChangedStateAtExit
};
void DiagnoseNonDefaultPragmaPack(PragmaPackDiagnoseKind Kind,
SourceLocation IncludeLoc);
void DiagnoseUnterminatedPragmaPack();
/// ActOnPragmaMSStruct - Called on well formed \#pragma ms_struct [on|off].
void ActOnPragmaMSStruct(PragmaMSStructKind Kind);
/// ActOnPragmaMSComment - Called on well formed
/// \#pragma comment(kind, "arg").
void ActOnPragmaMSComment(SourceLocation CommentLoc, PragmaMSCommentKind Kind,
StringRef Arg);
/// ActOnPragmaMSPointersToMembers - called on well formed \#pragma
/// pointers_to_members(representation method[, general purpose
/// representation]).
void ActOnPragmaMSPointersToMembers(
LangOptions::PragmaMSPointersToMembersKind Kind,
SourceLocation PragmaLoc);
/// Called on well formed \#pragma vtordisp().
void ActOnPragmaMSVtorDisp(PragmaMsStackAction Action,
SourceLocation PragmaLoc,
MSVtorDispMode Value);
enum PragmaSectionKind {
PSK_DataSeg,
PSK_BSSSeg,
PSK_ConstSeg,
PSK_CodeSeg,
};
bool UnifySection(StringRef SectionName,
int SectionFlags,
DeclaratorDecl *TheDecl);
bool UnifySection(StringRef SectionName,
int SectionFlags,
SourceLocation PragmaSectionLocation);
/// Called on well formed \#pragma bss_seg/data_seg/const_seg/code_seg.
void ActOnPragmaMSSeg(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
StringLiteral *SegmentName,
llvm::StringRef PragmaName);
/// Called on well formed \#pragma section().
void ActOnPragmaMSSection(SourceLocation PragmaLocation,
int SectionFlags, StringLiteral *SegmentName);
/// Called on well-formed \#pragma init_seg().
void ActOnPragmaMSInitSeg(SourceLocation PragmaLocation,
StringLiteral *SegmentName);
/// Called on #pragma clang __debug dump II
void ActOnPragmaDump(Scope *S, SourceLocation Loc, IdentifierInfo *II);
/// ActOnPragmaDetectMismatch - Call on well-formed \#pragma detect_mismatch
void ActOnPragmaDetectMismatch(SourceLocation Loc, StringRef Name,
StringRef Value);
/// ActOnPragmaUnused - Called on well-formed '\#pragma unused'.
void ActOnPragmaUnused(const Token &Identifier,
Scope *curScope,
SourceLocation PragmaLoc);
/// ActOnPragmaVisibility - Called on well formed \#pragma GCC visibility... .
void ActOnPragmaVisibility(const IdentifierInfo* VisType,
SourceLocation PragmaLoc);
NamedDecl *DeclClonePragmaWeak(NamedDecl *ND, IdentifierInfo *II,
SourceLocation Loc);
void DeclApplyPragmaWeak(Scope *S, NamedDecl *ND, WeakInfo &W);
/// ActOnPragmaWeakID - Called on well formed \#pragma weak ident.
void ActOnPragmaWeakID(IdentifierInfo* WeakName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc);
/// ActOnPragmaRedefineExtname - Called on well formed
/// \#pragma redefine_extname oldname newname.
void ActOnPragmaRedefineExtname(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaWeakAlias - Called on well formed \#pragma weak ident = ident.
void ActOnPragmaWeakAlias(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaFPContract - Called on well formed
/// \#pragma {STDC,OPENCL} FP_CONTRACT and
/// \#pragma clang fp contract
void ActOnPragmaFPContract(LangOptions::FPContractModeKind FPC);
/// ActOnPragmaFenvAccess - Called on well formed
/// \#pragma STDC FENV_ACCESS
void ActOnPragmaFEnvAccess(LangOptions::FEnvAccessModeKind FPC);
/// AddAlignmentAttributesForRecord - Adds any needed alignment attributes to
/// a the record decl, to handle '\#pragma pack' and '\#pragma options align'.
void AddAlignmentAttributesForRecord(RecordDecl *RD);
/// AddMsStructLayoutForRecord - Adds ms_struct layout attribute to record.
void AddMsStructLayoutForRecord(RecordDecl *RD);
/// FreePackedContext - Deallocate and null out PackContext.
void FreePackedContext();
/// PushNamespaceVisibilityAttr - Note that we've entered a
/// namespace with a visibility attribute.
void PushNamespaceVisibilityAttr(const VisibilityAttr *Attr,
SourceLocation Loc);
/// AddPushedVisibilityAttribute - If '\#pragma GCC visibility' was used,
/// add an appropriate visibility attribute.
void AddPushedVisibilityAttribute(Decl *RD);
/// PopPragmaVisibility - Pop the top element of the visibility stack; used
/// for '\#pragma GCC visibility' and visibility attributes on namespaces.
void PopPragmaVisibility(bool IsNamespaceEnd, SourceLocation EndLoc);
/// FreeVisContext - Deallocate and null out VisContext.
void FreeVisContext();
/// AddCFAuditedAttribute - Check whether we're currently within
/// '\#pragma clang arc_cf_code_audited' and, if so, consider adding
/// the appropriate attribute.
void AddCFAuditedAttribute(Decl *D);
void ActOnPragmaAttributeAttribute(ParsedAttr &Attribute,
SourceLocation PragmaLoc,
attr::ParsedSubjectMatchRuleSet Rules);
void ActOnPragmaAttributeEmptyPush(SourceLocation PragmaLoc,
const IdentifierInfo *Namespace);
/// Called on well-formed '\#pragma clang attribute pop'.
void ActOnPragmaAttributePop(SourceLocation PragmaLoc,
const IdentifierInfo *Namespace);
/// Adds the attributes that have been specified using the
/// '\#pragma clang attribute push' directives to the given declaration.
void AddPragmaAttributes(Scope *S, Decl *D);
void DiagnoseUnterminatedPragmaAttribute();
/// Called on well formed \#pragma clang optimize.
void ActOnPragmaOptimize(bool On, SourceLocation PragmaLoc);
/// Get the location for the currently active "\#pragma clang optimize
/// off". If this location is invalid, then the state of the pragma is "on".
SourceLocation getOptimizeOffPragmaLocation() const {
return OptimizeOffPragmaLocation;
}
/// Only called on function definitions; if there is a pragma in scope
/// with the effect of a range-based optnone, consider marking the function
/// with attribute optnone.
void AddRangeBasedOptnone(FunctionDecl *FD);
/// Adds the 'optnone' attribute to the function declaration if there
/// are no conflicts; Loc represents the location causing the 'optnone'
/// attribute to be added (usually because of a pragma).
void AddOptnoneAttributeIfNoConflicts(FunctionDecl *FD, SourceLocation Loc);
/// AddAlignedAttr - Adds an aligned attribute to a particular declaration.
void AddAlignedAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E,
bool IsPackExpansion);
void AddAlignedAttr(Decl *D, const AttributeCommonInfo &CI, TypeSourceInfo *T,
bool IsPackExpansion);
/// AddAssumeAlignedAttr - Adds an assume_aligned attribute to a particular
/// declaration.
void AddAssumeAlignedAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E,
Expr *OE);
/// AddAllocAlignAttr - Adds an alloc_align attribute to a particular
/// declaration.
void AddAllocAlignAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *ParamExpr);
/// AddAlignValueAttr - Adds an align_value attribute to a particular
/// declaration.
void AddAlignValueAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E);
/// AddLaunchBoundsAttr - Adds a launch_bounds attribute to a particular
/// declaration.
void AddLaunchBoundsAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *MaxThreads, Expr *MinBlocks);
/// AddModeAttr - Adds a mode attribute to a particular declaration.
void AddModeAttr(Decl *D, const AttributeCommonInfo &CI, IdentifierInfo *Name,
bool InInstantiation = false);
void AddParameterABIAttr(Decl *D, const AttributeCommonInfo &CI,
ParameterABI ABI);
enum class RetainOwnershipKind {NS, CF, OS};
void AddXConsumedAttr(Decl *D, const AttributeCommonInfo &CI,
RetainOwnershipKind K, bool IsTemplateInstantiation);
/// addAMDGPUFlatWorkGroupSizeAttr - Adds an amdgpu_flat_work_group_size
/// attribute to a particular declaration.
void addAMDGPUFlatWorkGroupSizeAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *Min, Expr *Max);
/// addAMDGPUWavePersEUAttr - Adds an amdgpu_waves_per_eu attribute to a
/// particular declaration.
void addAMDGPUWavesPerEUAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *Min, Expr *Max);
bool checkNSReturnsRetainedReturnType(SourceLocation loc, QualType type);
//===--------------------------------------------------------------------===//
// C++ Coroutines TS
//
bool ActOnCoroutineBodyStart(Scope *S, SourceLocation KwLoc,
StringRef Keyword);
ExprResult ActOnCoawaitExpr(Scope *S, SourceLocation KwLoc, Expr *E);
ExprResult ActOnCoyieldExpr(Scope *S, SourceLocation KwLoc, Expr *E);
StmtResult ActOnCoreturnStmt(Scope *S, SourceLocation KwLoc, Expr *E);
ExprResult BuildResolvedCoawaitExpr(SourceLocation KwLoc, Expr *E,
bool IsImplicit = false);
ExprResult BuildUnresolvedCoawaitExpr(SourceLocation KwLoc, Expr *E,
UnresolvedLookupExpr* Lookup);
ExprResult BuildCoyieldExpr(SourceLocation KwLoc, Expr *E);
StmtResult BuildCoreturnStmt(SourceLocation KwLoc, Expr *E,
bool IsImplicit = false);
StmtResult BuildCoroutineBodyStmt(CoroutineBodyStmt::CtorArgs);
bool buildCoroutineParameterMoves(SourceLocation Loc);
VarDecl *buildCoroutinePromise(SourceLocation Loc);
void CheckCompletedCoroutineBody(FunctionDecl *FD, Stmt *&Body);
ClassTemplateDecl *lookupCoroutineTraits(SourceLocation KwLoc,
SourceLocation FuncLoc);
//===--------------------------------------------------------------------===//
// OpenCL extensions.
//
private:
std::string CurrOpenCLExtension;
/// Extensions required by an OpenCL type.
llvm::DenseMap<const Type*, std::set<std::string>> OpenCLTypeExtMap;
/// Extensions required by an OpenCL declaration.
llvm::DenseMap<const Decl*, std::set<std::string>> OpenCLDeclExtMap;
public:
llvm::StringRef getCurrentOpenCLExtension() const {
return CurrOpenCLExtension;
}
/// Check if a function declaration \p FD associates with any
/// extensions present in OpenCLDeclExtMap and if so return the
/// extension(s) name(s).
std::string getOpenCLExtensionsFromDeclExtMap(FunctionDecl *FD);
/// Check if a function type \p FT associates with any
/// extensions present in OpenCLTypeExtMap and if so return the
/// extension(s) name(s).
std::string getOpenCLExtensionsFromTypeExtMap(FunctionType *FT);
/// Find an extension in an appropriate extension map and return its name
template<typename T, typename MapT>
std::string getOpenCLExtensionsFromExtMap(T* FT, MapT &Map);
void setCurrentOpenCLExtension(llvm::StringRef Ext) {
CurrOpenCLExtension = Ext;
}
/// Set OpenCL extensions for a type which can only be used when these
/// OpenCL extensions are enabled. If \p Exts is empty, do nothing.
/// \param Exts A space separated list of OpenCL extensions.
void setOpenCLExtensionForType(QualType T, llvm::StringRef Exts);
/// Set OpenCL extensions for a declaration which can only be
/// used when these OpenCL extensions are enabled. If \p Exts is empty, do
/// nothing.
/// \param Exts A space separated list of OpenCL extensions.
void setOpenCLExtensionForDecl(Decl *FD, llvm::StringRef Exts);
/// Set current OpenCL extensions for a type which can only be used
/// when these OpenCL extensions are enabled. If current OpenCL extension is
/// empty, do nothing.
void setCurrentOpenCLExtensionForType(QualType T);
/// Set current OpenCL extensions for a declaration which
/// can only be used when these OpenCL extensions are enabled. If current
/// OpenCL extension is empty, do nothing.
void setCurrentOpenCLExtensionForDecl(Decl *FD);
bool isOpenCLDisabledDecl(Decl *FD);
/// Check if type \p T corresponding to declaration specifier \p DS
/// is disabled due to required OpenCL extensions being disabled. If so,
/// emit diagnostics.
/// \return true if type is disabled.
bool checkOpenCLDisabledTypeDeclSpec(const DeclSpec &DS, QualType T);
/// Check if declaration \p D used by expression \p E
/// is disabled due to required OpenCL extensions being disabled. If so,
/// emit diagnostics.
/// \return true if type is disabled.
bool checkOpenCLDisabledDecl(const NamedDecl &D, const Expr &E);
//===--------------------------------------------------------------------===//
// OpenMP directives and clauses.
//
private:
void *VarDataSharingAttributesStack;
/// Number of nested '#pragma omp declare target' directives.
unsigned DeclareTargetNestingLevel = 0;
/// Initialization of data-sharing attributes stack.
void InitDataSharingAttributesStack();
void DestroyDataSharingAttributesStack();
ExprResult
VerifyPositiveIntegerConstantInClause(Expr *Op, OpenMPClauseKind CKind,
bool StrictlyPositive = true);
/// Returns OpenMP nesting level for current directive.
unsigned getOpenMPNestingLevel() const;
/// Adjusts the function scopes index for the target-based regions.
void adjustOpenMPTargetScopeIndex(unsigned &FunctionScopesIndex,
unsigned Level) const;
/// Returns the number of scopes associated with the construct on the given
/// OpenMP level.
int getNumberOfConstructScopes(unsigned Level) const;
/// Push new OpenMP function region for non-capturing function.
void pushOpenMPFunctionRegion();
/// Pop OpenMP function region for non-capturing function.
void popOpenMPFunctionRegion(const sema::FunctionScopeInfo *OldFSI);
/// Check whether we're allowed to call Callee from the current function.
void checkOpenMPDeviceFunction(SourceLocation Loc, FunctionDecl *Callee,
bool CheckForDelayedContext = true);
/// Check whether we're allowed to call Callee from the current function.
void checkOpenMPHostFunction(SourceLocation Loc, FunctionDecl *Callee,
bool CheckCaller = true);
/// Check if the expression is allowed to be used in expressions for the
/// OpenMP devices.
void checkOpenMPDeviceExpr(const Expr *E);
/// Finishes analysis of the deferred functions calls that may be declared as
/// host/nohost during device/host compilation.
void finalizeOpenMPDelayedAnalysis();
/// Checks if a type or a declaration is disabled due to the owning extension
/// being disabled, and emits diagnostic messages if it is disabled.
/// \param D type or declaration to be checked.
/// \param DiagLoc source location for the diagnostic message.
/// \param DiagInfo information to be emitted for the diagnostic message.
/// \param SrcRange source range of the declaration.
/// \param Map maps type or declaration to the extensions.
/// \param Selector selects diagnostic message: 0 for type and 1 for
/// declaration.
/// \return true if the type or declaration is disabled.
template <typename T, typename DiagLocT, typename DiagInfoT, typename MapT>
bool checkOpenCLDisabledTypeOrDecl(T D, DiagLocT DiagLoc, DiagInfoT DiagInfo,
MapT &Map, unsigned Selector = 0,
SourceRange SrcRange = SourceRange());
/// Marks all the functions that might be required for the currently active
/// OpenMP context.
void markOpenMPDeclareVariantFuncsReferenced(SourceLocation Loc,
FunctionDecl *Func,
bool MightBeOdrUse);
public:
/// Struct to store the context selectors info for declare variant directive.
using OMPCtxStringType = SmallString<8>;
using OMPCtxSelectorData =
OpenMPCtxSelectorData<SmallVector<OMPCtxStringType, 4>, ExprResult>;
/// Checks if the variant/multiversion functions are compatible.
bool areMultiversionVariantFunctionsCompatible(
const FunctionDecl *OldFD, const FunctionDecl *NewFD,
const PartialDiagnostic &NoProtoDiagID,
const PartialDiagnosticAt &NoteCausedDiagIDAt,
const PartialDiagnosticAt &NoSupportDiagIDAt,
const PartialDiagnosticAt &DiffDiagIDAt, bool TemplatesSupported,
bool ConstexprSupported, bool CLinkageMayDiffer);
/// Function tries to capture lambda's captured variables in the OpenMP region
/// before the original lambda is captured.
void tryCaptureOpenMPLambdas(ValueDecl *V);
/// Return true if the provided declaration \a VD should be captured by
/// reference.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
/// \param OpenMPCaptureLevel Capture level within an OpenMP construct.
bool isOpenMPCapturedByRef(const ValueDecl *D, unsigned Level,
unsigned OpenMPCaptureLevel) const;
/// Check if the specified variable is used in one of the private
/// clauses (private, firstprivate, lastprivate, reduction etc.) in OpenMP
/// constructs.
VarDecl *isOpenMPCapturedDecl(ValueDecl *D, bool CheckScopeInfo = false,
unsigned StopAt = 0);
ExprResult getOpenMPCapturedExpr(VarDecl *Capture, ExprValueKind VK,
ExprObjectKind OK, SourceLocation Loc);
/// If the current region is a loop-based region, mark the start of the loop
/// construct.
void startOpenMPLoop();
/// If the current region is a range loop-based region, mark the start of the
/// loop construct.
void startOpenMPCXXRangeFor();
/// Check if the specified variable is used in 'private' clause.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPPrivateDecl(const ValueDecl *D, unsigned Level) const;
/// Sets OpenMP capture kind (OMPC_private, OMPC_firstprivate, OMPC_map etc.)
/// for \p FD based on DSA for the provided corresponding captured declaration
/// \p D.
void setOpenMPCaptureKind(FieldDecl *FD, const ValueDecl *D, unsigned Level);
/// Check if the specified variable is captured by 'target' directive.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPTargetCapturedDecl(const ValueDecl *D, unsigned Level) const;
ExprResult PerformOpenMPImplicitIntegerConversion(SourceLocation OpLoc,
Expr *Op);
/// Called on start of new data sharing attribute block.
void StartOpenMPDSABlock(OpenMPDirectiveKind K,
const DeclarationNameInfo &DirName, Scope *CurScope,
SourceLocation Loc);
/// Start analysis of clauses.
void StartOpenMPClause(OpenMPClauseKind K);
/// End analysis of clauses.
void EndOpenMPClause();
/// Called on end of data sharing attribute block.
void EndOpenMPDSABlock(Stmt *CurDirective);
/// Check if the current region is an OpenMP loop region and if it is,
/// mark loop control variable, used in \p Init for loop initialization, as
/// private by default.
/// \param Init First part of the for loop.
void ActOnOpenMPLoopInitialization(SourceLocation ForLoc, Stmt *Init);
// OpenMP directives and clauses.
/// Called on correct id-expression from the '#pragma omp
/// threadprivate'.
ExprResult ActOnOpenMPIdExpression(Scope *CurScope, CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id,
OpenMPDirectiveKind Kind);
/// Called on well-formed '#pragma omp threadprivate'.
DeclGroupPtrTy ActOnOpenMPThreadprivateDirective(
SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// Builds a new OpenMPThreadPrivateDecl and checks its correctness.
OMPThreadPrivateDecl *CheckOMPThreadPrivateDecl(SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// Called on well-formed '#pragma omp allocate'.
DeclGroupPtrTy ActOnOpenMPAllocateDirective(SourceLocation Loc,
ArrayRef<Expr *> VarList,
ArrayRef<OMPClause *> Clauses,
DeclContext *Owner = nullptr);
/// Called on well-formed '#pragma omp requires'.
DeclGroupPtrTy ActOnOpenMPRequiresDirective(SourceLocation Loc,
ArrayRef<OMPClause *> ClauseList);
/// Check restrictions on Requires directive
OMPRequiresDecl *CheckOMPRequiresDecl(SourceLocation Loc,
ArrayRef<OMPClause *> Clauses);
/// Check if the specified type is allowed to be used in 'omp declare
/// reduction' construct.
QualType ActOnOpenMPDeclareReductionType(SourceLocation TyLoc,
TypeResult ParsedType);
/// Called on start of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveStart(
Scope *S, DeclContext *DC, DeclarationName Name,
ArrayRef<std::pair<QualType, SourceLocation>> ReductionTypes,
AccessSpecifier AS, Decl *PrevDeclInScope = nullptr);
/// Initialize declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerStart(Scope *S, Decl *D);
/// Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerEnd(Decl *D, Expr *Combiner);
/// Initialize declare reduction construct initializer.
/// \return omp_priv variable.
VarDecl *ActOnOpenMPDeclareReductionInitializerStart(Scope *S, Decl *D);
/// Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionInitializerEnd(Decl *D, Expr *Initializer,
VarDecl *OmpPrivParm);
/// Called at the end of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveEnd(
Scope *S, DeclGroupPtrTy DeclReductions, bool IsValid);
/// Check variable declaration in 'omp declare mapper' construct.
TypeResult ActOnOpenMPDeclareMapperVarDecl(Scope *S, Declarator &D);
/// Check if the specified type is allowed to be used in 'omp declare
/// mapper' construct.
QualType ActOnOpenMPDeclareMapperType(SourceLocation TyLoc,
TypeResult ParsedType);
/// Called on start of '#pragma omp declare mapper'.
OMPDeclareMapperDecl *ActOnOpenMPDeclareMapperDirectiveStart(
Scope *S, DeclContext *DC, DeclarationName Name, QualType MapperType,
SourceLocation StartLoc, DeclarationName VN, AccessSpecifier AS,
Decl *PrevDeclInScope = nullptr);
/// Build the mapper variable of '#pragma omp declare mapper'.
void ActOnOpenMPDeclareMapperDirectiveVarDecl(OMPDeclareMapperDecl *DMD,
Scope *S, QualType MapperType,
SourceLocation StartLoc,
DeclarationName VN);
/// Called at the end of '#pragma omp declare mapper'.
DeclGroupPtrTy
ActOnOpenMPDeclareMapperDirectiveEnd(OMPDeclareMapperDecl *D, Scope *S,
ArrayRef<OMPClause *> ClauseList);
/// Called on the start of target region i.e. '#pragma omp declare target'.
bool ActOnStartOpenMPDeclareTargetDirective(SourceLocation Loc);
/// Called at the end of target region i.e. '#pragme omp end declare target'.
void ActOnFinishOpenMPDeclareTargetDirective();
/// Searches for the provided declaration name for OpenMP declare target
/// directive.
NamedDecl *
lookupOpenMPDeclareTargetName(Scope *CurScope, CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id,
NamedDeclSetType &SameDirectiveDecls);
/// Called on correct id-expression from the '#pragma omp declare target'.
void ActOnOpenMPDeclareTargetName(NamedDecl *ND, SourceLocation Loc,
OMPDeclareTargetDeclAttr::MapTypeTy MT,
OMPDeclareTargetDeclAttr::DevTypeTy DT);
/// Check declaration inside target region.
void
checkDeclIsAllowedInOpenMPTarget(Expr *E, Decl *D,
SourceLocation IdLoc = SourceLocation());
/// Return true inside OpenMP declare target region.
bool isInOpenMPDeclareTargetContext() const {
return DeclareTargetNestingLevel > 0;
}
/// Return true inside OpenMP target region.
bool isInOpenMPTargetExecutionDirective() const;
/// Return the number of captured regions created for an OpenMP directive.
static int getOpenMPCaptureLevels(OpenMPDirectiveKind Kind);
/// Initialization of captured region for OpenMP region.
void ActOnOpenMPRegionStart(OpenMPDirectiveKind DKind, Scope *CurScope);
/// End of OpenMP region.
///
/// \param S Statement associated with the current OpenMP region.
/// \param Clauses List of clauses for the current OpenMP region.
///
/// \returns Statement for finished OpenMP region.
StmtResult ActOnOpenMPRegionEnd(StmtResult S, ArrayRef<OMPClause *> Clauses);
StmtResult ActOnOpenMPExecutableDirective(
OpenMPDirectiveKind Kind, const DeclarationNameInfo &DirName,
OpenMPDirectiveKind CancelRegion, ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc, SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
using VarsWithInheritedDSAType =
llvm::SmallDenseMap<const ValueDecl *, const Expr *, 4>;
/// Called on well-formed '\#pragma omp simd' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp for' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPForDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp for simd' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPForSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp sections' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp section' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSectionDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp single' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSingleDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp master' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPMasterDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp critical' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPCriticalDirective(const DeclarationNameInfo &DirName,
ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel for' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel master' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelMasterDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel sections' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp task' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTaskDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskyield'.
StmtResult ActOnOpenMPTaskyieldDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp barrier'.
StmtResult ActOnOpenMPBarrierDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskwait'.
StmtResult ActOnOpenMPTaskwaitDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskgroup'.
StmtResult ActOnOpenMPTaskgroupDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp flush'.
StmtResult ActOnOpenMPFlushDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp ordered' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPOrderedDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp atomic' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPAtomicDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target data' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTargetDataDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target enter data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetEnterDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp target exit data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetExitDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp target parallel' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp cancellation point'.
StmtResult
ActOnOpenMPCancellationPointDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// Called on well-formed '\#pragma omp cancel'.
StmtResult ActOnOpenMPCancelDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// Called on well-formed '\#pragma omp taskloop' after parsing of the
/// associated statement.
StmtResult
ActOnOpenMPTaskLoopDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp taskloop simd' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp master taskloop' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPMasterTaskLoopDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp master taskloop simd' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPMasterTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel master taskloop' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelMasterTaskLoopDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel master taskloop simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelMasterTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPDistributeDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target update'.
StmtResult ActOnOpenMPTargetUpdateDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp distribute parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target simd' after parsing of
/// the associated statement.
StmtResult
ActOnOpenMPTargetSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute simd' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target teams distribute' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for
/// simd' after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Checks correctness of linear modifiers.
bool CheckOpenMPLinearModifier(OpenMPLinearClauseKind LinKind,
SourceLocation LinLoc);
/// Checks that the specified declaration matches requirements for the linear
/// decls.
bool CheckOpenMPLinearDecl(const ValueDecl *D, SourceLocation ELoc,
OpenMPLinearClauseKind LinKind, QualType Type);
/// Called on well-formed '\#pragma omp declare simd' after parsing of
/// the associated method/function.
DeclGroupPtrTy ActOnOpenMPDeclareSimdDirective(
DeclGroupPtrTy DG, OMPDeclareSimdDeclAttr::BranchStateTy BS,
Expr *Simdlen, ArrayRef<Expr *> Uniforms, ArrayRef<Expr *> Aligneds,
ArrayRef<Expr *> Alignments, ArrayRef<Expr *> Linears,
ArrayRef<unsigned> LinModifiers, ArrayRef<Expr *> Steps, SourceRange SR);
/// Checks '\#pragma omp declare variant' variant function and original
/// functions after parsing of the associated method/function.
/// \param DG Function declaration to which declare variant directive is
/// applied to.
/// \param VariantRef Expression that references the variant function, which
/// must be used instead of the original one, specified in \p DG.
/// \returns None, if the function/variant function are not compatible with
/// the pragma, pair of original function/variant ref expression otherwise.
Optional<std::pair<FunctionDecl *, Expr *>> checkOpenMPDeclareVariantFunction(
DeclGroupPtrTy DG, Expr *VariantRef, SourceRange SR);
/// Called on well-formed '\#pragma omp declare variant' after parsing of
/// the associated method/function.
/// \param FD Function declaration to which declare variant directive is
/// applied to.
/// \param VariantRef Expression that references the variant function, which
/// must be used instead of the original one, specified in \p DG.
/// \param Data Set of context-specific data for the specified context
/// selector.
void ActOnOpenMPDeclareVariantDirective(FunctionDecl *FD, Expr *VariantRef,
SourceRange SR,
ArrayRef<OMPCtxSelectorData> Data);
OMPClause *ActOnOpenMPSingleExprClause(OpenMPClauseKind Kind,
Expr *Expr,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'allocator' clause.
OMPClause *ActOnOpenMPAllocatorClause(Expr *Allocator,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'if' clause.
OMPClause *ActOnOpenMPIfClause(OpenMPDirectiveKind NameModifier,
Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation NameModifierLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// Called on well-formed 'final' clause.
OMPClause *ActOnOpenMPFinalClause(Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'num_threads' clause.
OMPClause *ActOnOpenMPNumThreadsClause(Expr *NumThreads,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'safelen' clause.
OMPClause *ActOnOpenMPSafelenClause(Expr *Length,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'simdlen' clause.
OMPClause *ActOnOpenMPSimdlenClause(Expr *Length, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'collapse' clause.
OMPClause *ActOnOpenMPCollapseClause(Expr *NumForLoops,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'ordered' clause.
OMPClause *
ActOnOpenMPOrderedClause(SourceLocation StartLoc, SourceLocation EndLoc,
SourceLocation LParenLoc = SourceLocation(),
Expr *NumForLoops = nullptr);
/// Called on well-formed 'grainsize' clause.
OMPClause *ActOnOpenMPGrainsizeClause(Expr *Size, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'num_tasks' clause.
OMPClause *ActOnOpenMPNumTasksClause(Expr *NumTasks, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'hint' clause.
OMPClause *ActOnOpenMPHintClause(Expr *Hint, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSimpleClause(OpenMPClauseKind Kind,
unsigned Argument,
SourceLocation ArgumentLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'default' clause.
OMPClause *ActOnOpenMPDefaultClause(OpenMPDefaultClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'proc_bind' clause.
OMPClause *ActOnOpenMPProcBindClause(llvm::omp::ProcBindKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSingleExprWithArgClause(
OpenMPClauseKind Kind, ArrayRef<unsigned> Arguments, Expr *Expr,
SourceLocation StartLoc, SourceLocation LParenLoc,
ArrayRef<SourceLocation> ArgumentsLoc, SourceLocation DelimLoc,
SourceLocation EndLoc);
/// Called on well-formed 'schedule' clause.
OMPClause *ActOnOpenMPScheduleClause(
OpenMPScheduleClauseModifier M1, OpenMPScheduleClauseModifier M2,
OpenMPScheduleClauseKind Kind, Expr *ChunkSize, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation M1Loc, SourceLocation M2Loc,
SourceLocation KindLoc, SourceLocation CommaLoc, SourceLocation EndLoc);
OMPClause *ActOnOpenMPClause(OpenMPClauseKind Kind, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'nowait' clause.
OMPClause *ActOnOpenMPNowaitClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'untied' clause.
OMPClause *ActOnOpenMPUntiedClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'mergeable' clause.
OMPClause *ActOnOpenMPMergeableClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'read' clause.
OMPClause *ActOnOpenMPReadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'write' clause.
OMPClause *ActOnOpenMPWriteClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'update' clause.
OMPClause *ActOnOpenMPUpdateClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'capture' clause.
OMPClause *ActOnOpenMPCaptureClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'seq_cst' clause.
OMPClause *ActOnOpenMPSeqCstClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'threads' clause.
OMPClause *ActOnOpenMPThreadsClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'simd' clause.
OMPClause *ActOnOpenMPSIMDClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'nogroup' clause.
OMPClause *ActOnOpenMPNogroupClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'unified_address' clause.
OMPClause *ActOnOpenMPUnifiedAddressClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'unified_address' clause.
OMPClause *ActOnOpenMPUnifiedSharedMemoryClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'reverse_offload' clause.
OMPClause *ActOnOpenMPReverseOffloadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'dynamic_allocators' clause.
OMPClause *ActOnOpenMPDynamicAllocatorsClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'atomic_default_mem_order' clause.
OMPClause *ActOnOpenMPAtomicDefaultMemOrderClause(
OpenMPAtomicDefaultMemOrderClauseKind Kind, SourceLocation KindLoc,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation EndLoc);
OMPClause *ActOnOpenMPVarListClause(
OpenMPClauseKind Kind, ArrayRef<Expr *> Vars, Expr *TailExpr,
const OMPVarListLocTy &Locs, SourceLocation ColonLoc,
CXXScopeSpec &ReductionOrMapperIdScopeSpec,
DeclarationNameInfo &ReductionOrMapperId, int ExtraModifier,
ArrayRef<OpenMPMapModifierKind> MapTypeModifiers,
ArrayRef<SourceLocation> MapTypeModifiersLoc, bool IsMapTypeImplicit,
SourceLocation DepLinMapLastLoc);
/// Called on well-formed 'allocate' clause.
OMPClause *
ActOnOpenMPAllocateClause(Expr *Allocator, ArrayRef<Expr *> VarList,
SourceLocation StartLoc, SourceLocation ColonLoc,
SourceLocation LParenLoc, SourceLocation EndLoc);
/// Called on well-formed 'private' clause.
OMPClause *ActOnOpenMPPrivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'firstprivate' clause.
OMPClause *ActOnOpenMPFirstprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'lastprivate' clause.
OMPClause *ActOnOpenMPLastprivateClause(
ArrayRef<Expr *> VarList, OpenMPLastprivateModifier LPKind,
SourceLocation LPKindLoc, SourceLocation ColonLoc,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation EndLoc);
/// Called on well-formed 'shared' clause.
OMPClause *ActOnOpenMPSharedClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'reduction' clause.
OMPClause *ActOnOpenMPReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'task_reduction' clause.
OMPClause *ActOnOpenMPTaskReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'in_reduction' clause.
OMPClause *ActOnOpenMPInReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'linear' clause.
OMPClause *
ActOnOpenMPLinearClause(ArrayRef<Expr *> VarList, Expr *Step,
SourceLocation StartLoc, SourceLocation LParenLoc,
OpenMPLinearClauseKind LinKind, SourceLocation LinLoc,
SourceLocation ColonLoc, SourceLocation EndLoc);
/// Called on well-formed 'aligned' clause.
OMPClause *ActOnOpenMPAlignedClause(ArrayRef<Expr *> VarList,
Expr *Alignment,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// Called on well-formed 'copyin' clause.
OMPClause *ActOnOpenMPCopyinClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'copyprivate' clause.
OMPClause *ActOnOpenMPCopyprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'flush' pseudo clause.
OMPClause *ActOnOpenMPFlushClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'depend' clause.
OMPClause *
ActOnOpenMPDependClause(OpenMPDependClauseKind DepKind, SourceLocation DepLoc,
SourceLocation ColonLoc, ArrayRef<Expr *> VarList,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'device' clause.
OMPClause *ActOnOpenMPDeviceClause(Expr *Device, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'map' clause.
OMPClause *
ActOnOpenMPMapClause(ArrayRef<OpenMPMapModifierKind> MapTypeModifiers,
ArrayRef<SourceLocation> MapTypeModifiersLoc,
CXXScopeSpec &MapperIdScopeSpec,
DeclarationNameInfo &MapperId,
OpenMPMapClauseKind MapType, bool IsMapTypeImplicit,
SourceLocation MapLoc, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, const OMPVarListLocTy &Locs,
ArrayRef<Expr *> UnresolvedMappers = llvm::None);
/// Called on well-formed 'num_teams' clause.
OMPClause *ActOnOpenMPNumTeamsClause(Expr *NumTeams, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'thread_limit' clause.
OMPClause *ActOnOpenMPThreadLimitClause(Expr *ThreadLimit,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'priority' clause.
OMPClause *ActOnOpenMPPriorityClause(Expr *Priority, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'dist_schedule' clause.
OMPClause *ActOnOpenMPDistScheduleClause(
OpenMPDistScheduleClauseKind Kind, Expr *ChunkSize,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation KindLoc,
SourceLocation CommaLoc, SourceLocation EndLoc);
/// Called on well-formed 'defaultmap' clause.
OMPClause *ActOnOpenMPDefaultmapClause(
OpenMPDefaultmapClauseModifier M, OpenMPDefaultmapClauseKind Kind,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation MLoc,
SourceLocation KindLoc, SourceLocation EndLoc);
/// Called on well-formed 'to' clause.
OMPClause *
ActOnOpenMPToClause(ArrayRef<Expr *> VarList, CXXScopeSpec &MapperIdScopeSpec,
DeclarationNameInfo &MapperId,
const OMPVarListLocTy &Locs,
ArrayRef<Expr *> UnresolvedMappers = llvm::None);
/// Called on well-formed 'from' clause.
OMPClause *ActOnOpenMPFromClause(
ArrayRef<Expr *> VarList, CXXScopeSpec &MapperIdScopeSpec,
DeclarationNameInfo &MapperId, const OMPVarListLocTy &Locs,
ArrayRef<Expr *> UnresolvedMappers = llvm::None);
/// Called on well-formed 'use_device_ptr' clause.
OMPClause *ActOnOpenMPUseDevicePtrClause(ArrayRef<Expr *> VarList,
const OMPVarListLocTy &Locs);
/// Called on well-formed 'is_device_ptr' clause.
OMPClause *ActOnOpenMPIsDevicePtrClause(ArrayRef<Expr *> VarList,
const OMPVarListLocTy &Locs);
/// Called on well-formed 'nontemporal' clause.
OMPClause *ActOnOpenMPNontemporalClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// The kind of conversion being performed.
enum CheckedConversionKind {
/// An implicit conversion.
CCK_ImplicitConversion,
/// A C-style cast.
CCK_CStyleCast,
/// A functional-style cast.
CCK_FunctionalCast,
/// A cast other than a C-style cast.
CCK_OtherCast,
/// A conversion for an operand of a builtin overloaded operator.
CCK_ForBuiltinOverloadedOp
};
static bool isCast(CheckedConversionKind CCK) {
return CCK == CCK_CStyleCast || CCK == CCK_FunctionalCast ||
CCK == CCK_OtherCast;
}
/// ImpCastExprToType - If Expr is not of type 'Type', insert an implicit
/// cast. If there is already an implicit cast, merge into the existing one.
/// If isLvalue, the result of the cast is an lvalue.
ExprResult ImpCastExprToType(Expr *E, QualType Type, CastKind CK,
ExprValueKind VK = VK_RValue,
const CXXCastPath *BasePath = nullptr,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
/// ScalarTypeToBooleanCastKind - Returns the cast kind corresponding
/// to the conversion from scalar type ScalarTy to the Boolean type.
static CastKind ScalarTypeToBooleanCastKind(QualType ScalarTy);
/// IgnoredValueConversions - Given that an expression's result is
/// syntactically ignored, perform any conversions that are
/// required.
ExprResult IgnoredValueConversions(Expr *E);
// UsualUnaryConversions - promotes integers (C99 6.3.1.1p2) and converts
// functions and arrays to their respective pointers (C99 6.3.2.1).
ExprResult UsualUnaryConversions(Expr *E);
/// CallExprUnaryConversions - a special case of an unary conversion
/// performed on a function designator of a call expression.
ExprResult CallExprUnaryConversions(Expr *E);
// DefaultFunctionArrayConversion - converts functions and arrays
// to their respective pointers (C99 6.3.2.1).
ExprResult DefaultFunctionArrayConversion(Expr *E, bool Diagnose = true);
// DefaultFunctionArrayLvalueConversion - converts functions and
// arrays to their respective pointers and performs the
// lvalue-to-rvalue conversion.
ExprResult DefaultFunctionArrayLvalueConversion(Expr *E,
bool Diagnose = true);
// DefaultLvalueConversion - performs lvalue-to-rvalue conversion on
// the operand. This function is a no-op if the operand has a function type
// or an array type.
ExprResult DefaultLvalueConversion(Expr *E);
// DefaultArgumentPromotion (C99 6.5.2.2p6). Used for function calls that
// do not have a prototype. Integer promotions are performed on each
// argument, and arguments that have type float are promoted to double.
ExprResult DefaultArgumentPromotion(Expr *E);
/// If \p E is a prvalue denoting an unmaterialized temporary, materialize
/// it as an xvalue. In C++98, the result will still be a prvalue, because
/// we don't have xvalues there.
ExprResult TemporaryMaterializationConversion(Expr *E);
// Used for emitting the right warning by DefaultVariadicArgumentPromotion
enum VariadicCallType {
VariadicFunction,
VariadicBlock,
VariadicMethod,
VariadicConstructor,
VariadicDoesNotApply
};
VariadicCallType getVariadicCallType(FunctionDecl *FDecl,
const FunctionProtoType *Proto,
Expr *Fn);
// Used for determining in which context a type is allowed to be passed to a
// vararg function.
enum VarArgKind {
VAK_Valid,
VAK_ValidInCXX11,
VAK_Undefined,
VAK_MSVCUndefined,
VAK_Invalid
};
// Determines which VarArgKind fits an expression.
VarArgKind isValidVarArgType(const QualType &Ty);
/// Check to see if the given expression is a valid argument to a variadic
/// function, issuing a diagnostic if not.
void checkVariadicArgument(const Expr *E, VariadicCallType CT);
/// Check to see if a given expression could have '.c_str()' called on it.
bool hasCStrMethod(const Expr *E);
/// GatherArgumentsForCall - Collector argument expressions for various
/// form of call prototypes.
bool GatherArgumentsForCall(SourceLocation CallLoc, FunctionDecl *FDecl,
const FunctionProtoType *Proto,
unsigned FirstParam, ArrayRef<Expr *> Args,
SmallVectorImpl<Expr *> &AllArgs,
VariadicCallType CallType = VariadicDoesNotApply,
bool AllowExplicit = false,
bool IsListInitialization = false);
// DefaultVariadicArgumentPromotion - Like DefaultArgumentPromotion, but
// will create a runtime trap if the resulting type is not a POD type.
ExprResult DefaultVariadicArgumentPromotion(Expr *E, VariadicCallType CT,
FunctionDecl *FDecl);
/// Context in which we're performing a usual arithmetic conversion.
enum ArithConvKind {
/// An arithmetic operation.
ACK_Arithmetic,
/// A bitwise operation.
ACK_BitwiseOp,
/// A comparison.
ACK_Comparison,
/// A conditional (?:) operator.
ACK_Conditional,
/// A compound assignment expression.
ACK_CompAssign,
};
// UsualArithmeticConversions - performs the UsualUnaryConversions on it's
// operands and then handles various conversions that are common to binary
// operators (C99 6.3.1.8). If both operands aren't arithmetic, this
// routine returns the first non-arithmetic type found. The client is
// responsible for emitting appropriate error diagnostics.
QualType UsualArithmeticConversions(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, ArithConvKind ACK);
/// AssignConvertType - All of the 'assignment' semantic checks return this
/// enum to indicate whether the assignment was allowed. These checks are
/// done for simple assignments, as well as initialization, return from
/// function, argument passing, etc. The query is phrased in terms of a
/// source and destination type.
enum AssignConvertType {
/// Compatible - the types are compatible according to the standard.
Compatible,
/// PointerToInt - The assignment converts a pointer to an int, which we
/// accept as an extension.
PointerToInt,
/// IntToPointer - The assignment converts an int to a pointer, which we
/// accept as an extension.
IntToPointer,
/// FunctionVoidPointer - The assignment is between a function pointer and
/// void*, which the standard doesn't allow, but we accept as an extension.
FunctionVoidPointer,
/// IncompatiblePointer - The assignment is between two pointers types that
/// are not compatible, but we accept them as an extension.
IncompatiblePointer,
/// IncompatiblePointerSign - The assignment is between two pointers types
/// which point to integers which have a different sign, but are otherwise
/// identical. This is a subset of the above, but broken out because it's by
/// far the most common case of incompatible pointers.
IncompatiblePointerSign,
/// CompatiblePointerDiscardsQualifiers - The assignment discards
/// c/v/r qualifiers, which we accept as an extension.
CompatiblePointerDiscardsQualifiers,
/// IncompatiblePointerDiscardsQualifiers - The assignment
/// discards qualifiers that we don't permit to be discarded,
/// like address spaces.
IncompatiblePointerDiscardsQualifiers,
/// IncompatibleNestedPointerAddressSpaceMismatch - The assignment
/// changes address spaces in nested pointer types which is not allowed.
/// For instance, converting __private int ** to __generic int ** is
/// illegal even though __private could be converted to __generic.
IncompatibleNestedPointerAddressSpaceMismatch,
/// IncompatibleNestedPointerQualifiers - The assignment is between two
/// nested pointer types, and the qualifiers other than the first two
/// levels differ e.g. char ** -> const char **, but we accept them as an
/// extension.
IncompatibleNestedPointerQualifiers,
/// IncompatibleVectors - The assignment is between two vector types that
/// have the same size, which we accept as an extension.
IncompatibleVectors,
/// IntToBlockPointer - The assignment converts an int to a block
/// pointer. We disallow this.
IntToBlockPointer,
/// IncompatibleBlockPointer - The assignment is between two block
/// pointers types that are not compatible.
IncompatibleBlockPointer,
/// IncompatibleObjCQualifiedId - The assignment is between a qualified
/// id type and something else (that is incompatible with it). For example,
/// "id <XXX>" = "Foo *", where "Foo *" doesn't implement the XXX protocol.
IncompatibleObjCQualifiedId,
/// IncompatibleObjCWeakRef - Assigning a weak-unavailable object to an
/// object with __weak qualifier.
IncompatibleObjCWeakRef,
/// Incompatible - We reject this conversion outright, it is invalid to
/// represent it in the AST.
Incompatible
};
/// DiagnoseAssignmentResult - Emit a diagnostic, if required, for the
/// assignment conversion type specified by ConvTy. This returns true if the
/// conversion was invalid or false if the conversion was accepted.
bool DiagnoseAssignmentResult(AssignConvertType ConvTy,
SourceLocation Loc,
QualType DstType, QualType SrcType,
Expr *SrcExpr, AssignmentAction Action,
bool *Complained = nullptr);
/// IsValueInFlagEnum - Determine if a value is allowed as part of a flag
/// enum. If AllowMask is true, then we also allow the complement of a valid
/// value, to be used as a mask.
bool IsValueInFlagEnum(const EnumDecl *ED, const llvm::APInt &Val,
bool AllowMask) const;
/// DiagnoseAssignmentEnum - Warn if assignment to enum is a constant
/// integer not in the range of enum values.
void DiagnoseAssignmentEnum(QualType DstType, QualType SrcType,
Expr *SrcExpr);
/// CheckAssignmentConstraints - Perform type checking for assignment,
/// argument passing, variable initialization, and function return values.
/// C99 6.5.16.
AssignConvertType CheckAssignmentConstraints(SourceLocation Loc,
QualType LHSType,
QualType RHSType);
/// Check assignment constraints and optionally prepare for a conversion of
/// the RHS to the LHS type. The conversion is prepared for if ConvertRHS
/// is true.
AssignConvertType CheckAssignmentConstraints(QualType LHSType,
ExprResult &RHS,
CastKind &Kind,
bool ConvertRHS = true);
/// Check assignment constraints for an assignment of RHS to LHSType.
///
/// \param LHSType The destination type for the assignment.
/// \param RHS The source expression for the assignment.
/// \param Diagnose If \c true, diagnostics may be produced when checking
/// for assignability. If a diagnostic is produced, \p RHS will be
/// set to ExprError(). Note that this function may still return
/// without producing a diagnostic, even for an invalid assignment.
/// \param DiagnoseCFAudited If \c true, the target is a function parameter
/// in an audited Core Foundation API and does not need to be checked
/// for ARC retain issues.
/// \param ConvertRHS If \c true, \p RHS will be updated to model the
/// conversions necessary to perform the assignment. If \c false,
/// \p Diagnose must also be \c false.
AssignConvertType CheckSingleAssignmentConstraints(
QualType LHSType, ExprResult &RHS, bool Diagnose = true,
bool DiagnoseCFAudited = false, bool ConvertRHS = true);
// If the lhs type is a transparent union, check whether we
// can initialize the transparent union with the given expression.
AssignConvertType CheckTransparentUnionArgumentConstraints(QualType ArgType,
ExprResult &RHS);
bool IsStringLiteralToNonConstPointerConversion(Expr *From, QualType ToType);
bool CheckExceptionSpecCompatibility(Expr *From, QualType ToType);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit = false);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit,
ImplicitConversionSequence& ICS);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const ImplicitConversionSequence& ICS,
AssignmentAction Action,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const StandardConversionSequence& SCS,
AssignmentAction Action,
CheckedConversionKind CCK);
ExprResult PerformQualificationConversion(
Expr *E, QualType Ty, ExprValueKind VK = VK_RValue,
CheckedConversionKind CCK = CCK_ImplicitConversion);
/// the following "Check" methods will return a valid/converted QualType
/// or a null QualType (indicating an error diagnostic was issued).
/// type checking binary operators (subroutines of CreateBuiltinBinOp).
QualType InvalidOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType InvalidLogicalVectorOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType CheckPointerToMemberOperands( // C++ 5.5
ExprResult &LHS, ExprResult &RHS, ExprValueKind &VK,
SourceLocation OpLoc, bool isIndirect);
QualType CheckMultiplyDivideOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, bool IsCompAssign,
bool IsDivide);
QualType CheckRemainderOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
bool IsCompAssign = false);
QualType CheckAdditionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, QualType* CompLHSTy = nullptr);
QualType CheckSubtractionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
QualType* CompLHSTy = nullptr);
QualType CheckShiftOperands( // C99 6.5.7
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, bool IsCompAssign = false);
void CheckPtrComparisonWithNullChar(ExprResult &E, ExprResult &NullE);
QualType CheckCompareOperands( // C99 6.5.8/9
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckBitwiseOperands( // C99 6.5.[10...12]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckLogicalOperands( // C99 6.5.[13,14]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
// CheckAssignmentOperands is used for both simple and compound assignment.
// For simple assignment, pass both expressions and a null converted type.
// For compound assignment, pass both expressions and the converted type.
QualType CheckAssignmentOperands( // C99 6.5.16.[1,2]
Expr *LHSExpr, ExprResult &RHS, SourceLocation Loc, QualType CompoundType);
ExprResult checkPseudoObjectIncDec(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opcode, Expr *Op);
ExprResult checkPseudoObjectAssignment(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opcode,
Expr *LHS, Expr *RHS);
ExprResult checkPseudoObjectRValue(Expr *E);
Expr *recreateSyntacticForm(PseudoObjectExpr *E);
QualType CheckConditionalOperands( // C99 6.5.15
ExprResult &Cond, ExprResult &LHS, ExprResult &RHS,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation QuestionLoc);
QualType CXXCheckConditionalOperands( // C++ 5.16
ExprResult &cond, ExprResult &lhs, ExprResult &rhs,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation questionLoc);
QualType FindCompositePointerType(SourceLocation Loc, Expr *&E1, Expr *&E2,
bool ConvertArgs = true);
QualType FindCompositePointerType(SourceLocation Loc,
ExprResult &E1, ExprResult &E2,
bool ConvertArgs = true) {
Expr *E1Tmp = E1.get(), *E2Tmp = E2.get();
QualType Composite =
FindCompositePointerType(Loc, E1Tmp, E2Tmp, ConvertArgs);
E1 = E1Tmp;
E2 = E2Tmp;
return Composite;
}
QualType FindCompositeObjCPointerType(ExprResult &LHS, ExprResult &RHS,
SourceLocation QuestionLoc);
bool DiagnoseConditionalForNull(Expr *LHSExpr, Expr *RHSExpr,
SourceLocation QuestionLoc);
void DiagnoseAlwaysNonNullPointer(Expr *E,
Expr::NullPointerConstantKind NullType,
bool IsEqual, SourceRange Range);
/// type checking for vector binary operators.
QualType CheckVectorOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool IsCompAssign,
bool AllowBothBool, bool AllowBoolConversion);
QualType GetSignedVectorType(QualType V);
QualType CheckVectorCompareOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckVectorLogicalOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc);
bool areLaxCompatibleVectorTypes(QualType srcType, QualType destType);
bool isLaxVectorConversion(QualType srcType, QualType destType);
/// type checking declaration initializers (C99 6.7.8)
bool CheckForConstantInitializer(Expr *e, QualType t);
// type checking C++ declaration initializers (C++ [dcl.init]).
/// ReferenceCompareResult - Expresses the result of comparing two
/// types (cv1 T1 and cv2 T2) to determine their compatibility for the
/// purposes of initialization by reference (C++ [dcl.init.ref]p4).
enum ReferenceCompareResult {
/// Ref_Incompatible - The two types are incompatible, so direct
/// reference binding is not possible.
Ref_Incompatible = 0,
/// Ref_Related - The two types are reference-related, which means
/// that their unqualified forms (T1 and T2) are either the same
/// or T1 is a base class of T2.
Ref_Related,
/// Ref_Compatible - The two types are reference-compatible.
Ref_Compatible
};
// Fake up a scoped enumeration that still contextually converts to bool.
struct ReferenceConversionsScope {
/// The conversions that would be performed on an lvalue of type T2 when
/// binding a reference of type T1 to it, as determined when evaluating
/// whether T1 is reference-compatible with T2.
enum ReferenceConversions {
Qualification = 0x1,
Function = 0x2,
DerivedToBase = 0x4,
ObjC = 0x8,
ObjCLifetime = 0x10,
LLVM_MARK_AS_BITMASK_ENUM(/*LargestValue=*/ObjCLifetime)
};
};
using ReferenceConversions = ReferenceConversionsScope::ReferenceConversions;
ReferenceCompareResult
CompareReferenceRelationship(SourceLocation Loc, QualType T1, QualType T2,
ReferenceConversions *Conv = nullptr);
ExprResult checkUnknownAnyCast(SourceRange TypeRange, QualType CastType,
Expr *CastExpr, CastKind &CastKind,
ExprValueKind &VK, CXXCastPath &Path);
/// Force an expression with unknown-type to an expression of the
/// given type.
ExprResult forceUnknownAnyToType(Expr *E, QualType ToType);
/// Type-check an expression that's being passed to an
/// __unknown_anytype parameter.
ExprResult checkUnknownAnyArg(SourceLocation callLoc,
Expr *result, QualType ¶mType);
// CheckVectorCast - check type constraints for vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size.
// returns true if the cast is invalid
bool CheckVectorCast(SourceRange R, QualType VectorTy, QualType Ty,
CastKind &Kind);
/// Prepare `SplattedExpr` for a vector splat operation, adding
/// implicit casts if necessary.
ExprResult prepareVectorSplat(QualType VectorTy, Expr *SplattedExpr);
// CheckExtVectorCast - check type constraints for extended vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size,
// or vectors and the element type of that vector.
// returns the cast expr
ExprResult CheckExtVectorCast(SourceRange R, QualType DestTy, Expr *CastExpr,
CastKind &Kind);
ExprResult BuildCXXFunctionalCastExpr(TypeSourceInfo *TInfo, QualType Type,
SourceLocation LParenLoc,
Expr *CastExpr,
SourceLocation RParenLoc);
enum ARCConversionResult { ACR_okay, ACR_unbridged, ACR_error };
/// Checks for invalid conversions and casts between
/// retainable pointers and other pointer kinds for ARC and Weak.
ARCConversionResult CheckObjCConversion(SourceRange castRange,
QualType castType, Expr *&op,
CheckedConversionKind CCK,
bool Diagnose = true,
bool DiagnoseCFAudited = false,
BinaryOperatorKind Opc = BO_PtrMemD
);
Expr *stripARCUnbridgedCast(Expr *e);
void diagnoseARCUnbridgedCast(Expr *e);
bool CheckObjCARCUnavailableWeakConversion(QualType castType,
QualType ExprType);
/// checkRetainCycles - Check whether an Objective-C message send
/// might create an obvious retain cycle.
void checkRetainCycles(ObjCMessageExpr *msg);
void checkRetainCycles(Expr *receiver, Expr *argument);
void checkRetainCycles(VarDecl *Var, Expr *Init);
/// checkUnsafeAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained type.
bool checkUnsafeAssigns(SourceLocation Loc, QualType LHS, Expr *RHS);
/// checkUnsafeExprAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained expression.
void checkUnsafeExprAssigns(SourceLocation Loc, Expr *LHS, Expr *RHS);
/// CheckMessageArgumentTypes - Check types in an Obj-C message send.
/// \param Method - May be null.
/// \param [out] ReturnType - The return type of the send.
/// \return true iff there were any incompatible types.
bool CheckMessageArgumentTypes(const Expr *Receiver, QualType ReceiverType,
MultiExprArg Args, Selector Sel,
ArrayRef<SourceLocation> SelectorLocs,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage, SourceLocation lbrac,
SourceLocation rbrac, SourceRange RecRange,
QualType &ReturnType, ExprValueKind &VK);
/// Determine the result of a message send expression based on
/// the type of the receiver, the method expected to receive the message,
/// and the form of the message send.
QualType getMessageSendResultType(const Expr *Receiver, QualType ReceiverType,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage);
/// If the given expression involves a message send to a method
/// with a related result type, emit a note describing what happened.
void EmitRelatedResultTypeNote(const Expr *E);
/// Given that we had incompatible pointer types in a return
/// statement, check whether we're in a method with a related result
/// type, and if so, emit a note describing what happened.
void EmitRelatedResultTypeNoteForReturn(QualType destType);
class ConditionResult {
Decl *ConditionVar;
FullExprArg Condition;
bool Invalid;
bool HasKnownValue;
bool KnownValue;
friend class Sema;
ConditionResult(Sema &S, Decl *ConditionVar, FullExprArg Condition,
bool IsConstexpr)
: ConditionVar(ConditionVar), Condition(Condition), Invalid(false),
HasKnownValue(IsConstexpr && Condition.get() &&
!Condition.get()->isValueDependent()),
KnownValue(HasKnownValue &&
!!Condition.get()->EvaluateKnownConstInt(S.Context)) {}
explicit ConditionResult(bool Invalid)
: ConditionVar(nullptr), Condition(nullptr), Invalid(Invalid),
HasKnownValue(false), KnownValue(false) {}
public:
ConditionResult() : ConditionResult(false) {}
bool isInvalid() const { return Invalid; }
std::pair<VarDecl *, Expr *> get() const {
return std::make_pair(cast_or_null<VarDecl>(ConditionVar),
Condition.get());
}
llvm::Optional<bool> getKnownValue() const {
if (!HasKnownValue)
return None;
return KnownValue;
}
};
static ConditionResult ConditionError() { return ConditionResult(true); }
enum class ConditionKind {
Boolean, ///< A boolean condition, from 'if', 'while', 'for', or 'do'.
ConstexprIf, ///< A constant boolean condition from 'if constexpr'.
Switch ///< An integral condition for a 'switch' statement.
};
ConditionResult ActOnCondition(Scope *S, SourceLocation Loc,
Expr *SubExpr, ConditionKind CK);
ConditionResult ActOnConditionVariable(Decl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
DeclResult ActOnCXXConditionDeclaration(Scope *S, Declarator &D);
ExprResult CheckConditionVariable(VarDecl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
ExprResult CheckSwitchCondition(SourceLocation SwitchLoc, Expr *Cond);
/// CheckBooleanCondition - Diagnose problems involving the use of
/// the given expression as a boolean condition (e.g. in an if
/// statement). Also performs the standard function and array
/// decays, possibly changing the input variable.
///
/// \param Loc - A location associated with the condition, e.g. the
/// 'if' keyword.
/// \return true iff there were any errors
ExprResult CheckBooleanCondition(SourceLocation Loc, Expr *E,
bool IsConstexpr = false);
/// ActOnExplicitBoolSpecifier - Build an ExplicitSpecifier from an expression
/// found in an explicit(bool) specifier.
ExplicitSpecifier ActOnExplicitBoolSpecifier(Expr *E);
/// tryResolveExplicitSpecifier - Attempt to resolve the explict specifier.
/// Returns true if the explicit specifier is now resolved.
bool tryResolveExplicitSpecifier(ExplicitSpecifier &ExplicitSpec);
/// DiagnoseAssignmentAsCondition - Given that an expression is
/// being used as a boolean condition, warn if it's an assignment.
void DiagnoseAssignmentAsCondition(Expr *E);
/// Redundant parentheses over an equality comparison can indicate
/// that the user intended an assignment used as condition.
void DiagnoseEqualityWithExtraParens(ParenExpr *ParenE);
/// CheckCXXBooleanCondition - Returns true if conversion to bool is invalid.
ExprResult CheckCXXBooleanCondition(Expr *CondExpr, bool IsConstexpr = false);
/// ConvertIntegerToTypeWarnOnOverflow - Convert the specified APInt to have
/// the specified width and sign. If an overflow occurs, detect it and emit
/// the specified diagnostic.
void ConvertIntegerToTypeWarnOnOverflow(llvm::APSInt &OldVal,
unsigned NewWidth, bool NewSign,
SourceLocation Loc, unsigned DiagID);
/// Checks that the Objective-C declaration is declared in the global scope.
/// Emits an error and marks the declaration as invalid if it's not declared
/// in the global scope.
bool CheckObjCDeclScope(Decl *D);
/// Abstract base class used for diagnosing integer constant
/// expression violations.
class VerifyICEDiagnoser {
public:
bool Suppress;
VerifyICEDiagnoser(bool Suppress = false) : Suppress(Suppress) { }
virtual void diagnoseNotICE(Sema &S, SourceLocation Loc, SourceRange SR) =0;
virtual void diagnoseFold(Sema &S, SourceLocation Loc, SourceRange SR);
virtual ~VerifyICEDiagnoser() { }
};
/// VerifyIntegerConstantExpression - Verifies that an expression is an ICE,
/// and reports the appropriate diagnostics. Returns false on success.
/// Can optionally return the value of the expression.
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
VerifyICEDiagnoser &Diagnoser,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
unsigned DiagID,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E,
llvm::APSInt *Result = nullptr);
/// VerifyBitField - verifies that a bit field expression is an ICE and has
/// the correct width, and that the field type is valid.
/// Returns false on success.
/// Can optionally return whether the bit-field is of width 0
ExprResult VerifyBitField(SourceLocation FieldLoc, IdentifierInfo *FieldName,
QualType FieldTy, bool IsMsStruct,
Expr *BitWidth, bool *ZeroWidth = nullptr);
private:
unsigned ForceCUDAHostDeviceDepth = 0;
public:
/// Increments our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. So long as this count is greater
/// than zero, all functions encountered will be __host__ __device__.
void PushForceCUDAHostDevice();
/// Decrements our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. Returns false if the count is 0
/// before incrementing, so you can emit an error.
bool PopForceCUDAHostDevice();
/// Diagnostics that are emitted only if we discover that the given function
/// must be codegen'ed. Because handling these correctly adds overhead to
/// compilation, this is currently only enabled for CUDA compilations.
llvm::DenseMap<CanonicalDeclPtr<FunctionDecl>,
std::vector<PartialDiagnosticAt>>
DeviceDeferredDiags;
/// A pair of a canonical FunctionDecl and a SourceLocation. When used as the
/// key in a hashtable, both the FD and location are hashed.
struct FunctionDeclAndLoc {
CanonicalDeclPtr<FunctionDecl> FD;
SourceLocation Loc;
};
/// FunctionDecls and SourceLocations for which CheckCUDACall has emitted a
/// (maybe deferred) "bad call" diagnostic. We use this to avoid emitting the
/// same deferred diag twice.
llvm::DenseSet<FunctionDeclAndLoc> LocsWithCUDACallDiags;
/// An inverse call graph, mapping known-emitted functions to one of their
/// known-emitted callers (plus the location of the call).
///
/// Functions that we can tell a priori must be emitted aren't added to this
/// map.
llvm::DenseMap</* Callee = */ CanonicalDeclPtr<FunctionDecl>,
/* Caller = */ FunctionDeclAndLoc>
DeviceKnownEmittedFns;
/// A partial call graph maintained during CUDA/OpenMP device code compilation
/// to support deferred diagnostics.
///
/// Functions are only added here if, at the time they're considered, they are
/// not known-emitted. As soon as we discover that a function is
/// known-emitted, we remove it and everything it transitively calls from this
/// set and add those functions to DeviceKnownEmittedFns.
llvm::DenseMap</* Caller = */ CanonicalDeclPtr<FunctionDecl>,
/* Callees = */ llvm::MapVector<CanonicalDeclPtr<FunctionDecl>,
SourceLocation>>
DeviceCallGraph;
/// Diagnostic builder for CUDA/OpenMP devices errors which may or may not be
/// deferred.
///
/// In CUDA, there exist constructs (e.g. variable-length arrays, try/catch)
/// which are not allowed to appear inside __device__ functions and are
/// allowed to appear in __host__ __device__ functions only if the host+device
/// function is never codegen'ed.
///
/// To handle this, we use the notion of "deferred diagnostics", where we
/// attach a diagnostic to a FunctionDecl that's emitted iff it's codegen'ed.
///
/// This class lets you emit either a regular diagnostic, a deferred
/// diagnostic, or no diagnostic at all, according to an argument you pass to
/// its constructor, thus simplifying the process of creating these "maybe
/// deferred" diagnostics.
class DeviceDiagBuilder {
public:
enum Kind {
/// Emit no diagnostics.
K_Nop,
/// Emit the diagnostic immediately (i.e., behave like Sema::Diag()).
K_Immediate,
/// Emit the diagnostic immediately, and, if it's a warning or error, also
/// emit a call stack showing how this function can be reached by an a
/// priori known-emitted function.
K_ImmediateWithCallStack,
/// Create a deferred diagnostic, which is emitted only if the function
/// it's attached to is codegen'ed. Also emit a call stack as with
/// K_ImmediateWithCallStack.
K_Deferred
};
DeviceDiagBuilder(Kind K, SourceLocation Loc, unsigned DiagID,
FunctionDecl *Fn, Sema &S);
DeviceDiagBuilder(DeviceDiagBuilder &&D);
DeviceDiagBuilder(const DeviceDiagBuilder &) = default;
~DeviceDiagBuilder();
/// Convertible to bool: True if we immediately emitted an error, false if
/// we didn't emit an error or we created a deferred error.
///
/// Example usage:
///
/// if (DeviceDiagBuilder(...) << foo << bar)
/// return ExprError();
///
/// But see CUDADiagIfDeviceCode() and CUDADiagIfHostCode() -- you probably
/// want to use these instead of creating a DeviceDiagBuilder yourself.
operator bool() const { return ImmediateDiag.hasValue(); }
template <typename T>
friend const DeviceDiagBuilder &operator<<(const DeviceDiagBuilder &Diag,
const T &Value) {
if (Diag.ImmediateDiag.hasValue())
*Diag.ImmediateDiag << Value;
else if (Diag.PartialDiagId.hasValue())
Diag.S.DeviceDeferredDiags[Diag.Fn][*Diag.PartialDiagId].second
<< Value;
return Diag;
}
private:
Sema &S;
SourceLocation Loc;
unsigned DiagID;
FunctionDecl *Fn;
bool ShowCallStack;
// Invariant: At most one of these Optionals has a value.
// FIXME: Switch these to a Variant once that exists.
llvm::Optional<SemaDiagnosticBuilder> ImmediateDiag;
llvm::Optional<unsigned> PartialDiagId;
};
/// Indicate that this function (and thus everything it transtively calls)
/// will be codegen'ed, and emit any deferred diagnostics on this function and
/// its (transitive) callees.
void markKnownEmitted(
Sema &S, FunctionDecl *OrigCaller, FunctionDecl *OrigCallee,
SourceLocation OrigLoc,
const llvm::function_ref<bool(Sema &, FunctionDecl *)> IsKnownEmitted);
/// Creates a DeviceDiagBuilder that emits the diagnostic if the current context
/// is "used as device code".
///
/// - If CurContext is a __host__ function, does not emit any diagnostics.
/// - If CurContext is a __device__ or __global__ function, emits the
/// diagnostics immediately.
/// - If CurContext is a __host__ __device__ function and we are compiling for
/// the device, creates a diagnostic which is emitted if and when we realize
/// that the function will be codegen'ed.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in CUDA device code.
/// if (CUDADiagIfDeviceCode(Loc, diag::err_cuda_vla) << CurrentCUDATarget())
/// return ExprError();
/// // Otherwise, continue parsing as normal.
DeviceDiagBuilder CUDADiagIfDeviceCode(SourceLocation Loc, unsigned DiagID);
/// Creates a DeviceDiagBuilder that emits the diagnostic if the current context
/// is "used as host code".
///
/// Same as CUDADiagIfDeviceCode, with "host" and "device" switched.
DeviceDiagBuilder CUDADiagIfHostCode(SourceLocation Loc, unsigned DiagID);
/// Creates a DeviceDiagBuilder that emits the diagnostic if the current
/// context is "used as device code".
///
/// - If CurContext is a `declare target` function or it is known that the
/// function is emitted for the device, emits the diagnostics immediately.
/// - If CurContext is a non-`declare target` function and we are compiling
/// for the device, creates a diagnostic which is emitted if and when we
/// realize that the function will be codegen'ed.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in NVPTX device code.
/// if (diagIfOpenMPDeviceCode(Loc, diag::err_vla_unsupported))
/// return ExprError();
/// // Otherwise, continue parsing as normal.
DeviceDiagBuilder diagIfOpenMPDeviceCode(SourceLocation Loc, unsigned DiagID);
/// Creates a DeviceDiagBuilder that emits the diagnostic if the current
/// context is "used as host code".
///
/// - If CurContext is a `declare target` function or it is known that the
/// function is emitted for the host, emits the diagnostics immediately.
/// - If CurContext is a non-host function, just ignore it.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in NVPTX device code.
/// if (diagIfOpenMPHostode(Loc, diag::err_vla_unsupported))
/// return ExprError();
/// // Otherwise, continue parsing as normal.
DeviceDiagBuilder diagIfOpenMPHostCode(SourceLocation Loc, unsigned DiagID);
DeviceDiagBuilder targetDiag(SourceLocation Loc, unsigned DiagID);
enum CUDAFunctionTarget {
CFT_Device,
CFT_Global,
CFT_Host,
CFT_HostDevice,
CFT_InvalidTarget
};
/// Determines whether the given function is a CUDA device/host/kernel/etc.
/// function.
///
/// Use this rather than examining the function's attributes yourself -- you
/// will get it wrong. Returns CFT_Host if D is null.
CUDAFunctionTarget IdentifyCUDATarget(const FunctionDecl *D,
bool IgnoreImplicitHDAttr = false);
CUDAFunctionTarget IdentifyCUDATarget(const ParsedAttributesView &Attrs);
/// Gets the CUDA target for the current context.
CUDAFunctionTarget CurrentCUDATarget() {
return IdentifyCUDATarget(dyn_cast<FunctionDecl>(CurContext));
}
// CUDA function call preference. Must be ordered numerically from
// worst to best.
enum CUDAFunctionPreference {
CFP_Never, // Invalid caller/callee combination.
CFP_WrongSide, // Calls from host-device to host or device
// function that do not match current compilation
// mode.
CFP_HostDevice, // Any calls to host/device functions.
CFP_SameSide, // Calls from host-device to host or device
// function matching current compilation mode.
CFP_Native, // host-to-host or device-to-device calls.
};
/// Identifies relative preference of a given Caller/Callee
/// combination, based on their host/device attributes.
/// \param Caller function which needs address of \p Callee.
/// nullptr in case of global context.
/// \param Callee target function
///
/// \returns preference value for particular Caller/Callee combination.
CUDAFunctionPreference IdentifyCUDAPreference(const FunctionDecl *Caller,
const FunctionDecl *Callee);
/// Determines whether Caller may invoke Callee, based on their CUDA
/// host/device attributes. Returns false if the call is not allowed.
///
/// Note: Will return true for CFP_WrongSide calls. These may appear in
/// semantically correct CUDA programs, but only if they're never codegen'ed.
bool IsAllowedCUDACall(const FunctionDecl *Caller,
const FunctionDecl *Callee) {
return IdentifyCUDAPreference(Caller, Callee) != CFP_Never;
}
/// May add implicit CUDAHostAttr and CUDADeviceAttr attributes to FD,
/// depending on FD and the current compilation settings.
void maybeAddCUDAHostDeviceAttrs(FunctionDecl *FD,
const LookupResult &Previous);
public:
/// Check whether we're allowed to call Callee from the current context.
///
/// - If the call is never allowed in a semantically-correct program
/// (CFP_Never), emits an error and returns false.
///
/// - If the call is allowed in semantically-correct programs, but only if
/// it's never codegen'ed (CFP_WrongSide), creates a deferred diagnostic to
/// be emitted if and when the caller is codegen'ed, and returns true.
///
/// Will only create deferred diagnostics for a given SourceLocation once,
/// so you can safely call this multiple times without generating duplicate
/// deferred errors.
///
/// - Otherwise, returns true without emitting any diagnostics.
bool CheckCUDACall(SourceLocation Loc, FunctionDecl *Callee);
/// Set __device__ or __host__ __device__ attributes on the given lambda
/// operator() method.
///
/// CUDA lambdas declared inside __device__ or __global__ functions inherit
/// the __device__ attribute. Similarly, lambdas inside __host__ __device__
/// functions become __host__ __device__ themselves.
void CUDASetLambdaAttrs(CXXMethodDecl *Method);
/// Finds a function in \p Matches with highest calling priority
/// from \p Caller context and erases all functions with lower
/// calling priority.
void EraseUnwantedCUDAMatches(
const FunctionDecl *Caller,
SmallVectorImpl<std::pair<DeclAccessPair, FunctionDecl *>> &Matches);
/// Given a implicit special member, infer its CUDA target from the
/// calls it needs to make to underlying base/field special members.
/// \param ClassDecl the class for which the member is being created.
/// \param CSM the kind of special member.
/// \param MemberDecl the special member itself.
/// \param ConstRHS true if this is a copy operation with a const object on
/// its RHS.
/// \param Diagnose true if this call should emit diagnostics.
/// \return true if there was an error inferring.
/// The result of this call is implicit CUDA target attribute(s) attached to
/// the member declaration.
bool inferCUDATargetForImplicitSpecialMember(CXXRecordDecl *ClassDecl,
CXXSpecialMember CSM,
CXXMethodDecl *MemberDecl,
bool ConstRHS,
bool Diagnose);
/// \return true if \p CD can be considered empty according to CUDA
/// (E.2.3.1 in CUDA 7.5 Programming guide).
bool isEmptyCudaConstructor(SourceLocation Loc, CXXConstructorDecl *CD);
bool isEmptyCudaDestructor(SourceLocation Loc, CXXDestructorDecl *CD);
// \brief Checks that initializers of \p Var satisfy CUDA restrictions. In
// case of error emits appropriate diagnostic and invalidates \p Var.
//
// \details CUDA allows only empty constructors as initializers for global
// variables (see E.2.3.1, CUDA 7.5). The same restriction also applies to all
// __shared__ variables whether they are local or not (they all are implicitly
// static in CUDA). One exception is that CUDA allows constant initializers
// for __constant__ and __device__ variables.
void checkAllowedCUDAInitializer(VarDecl *VD);
/// Check whether NewFD is a valid overload for CUDA. Emits
/// diagnostics and invalidates NewFD if not.
void checkCUDATargetOverload(FunctionDecl *NewFD,
const LookupResult &Previous);
/// Copies target attributes from the template TD to the function FD.
void inheritCUDATargetAttrs(FunctionDecl *FD, const FunctionTemplateDecl &TD);
/// Returns the name of the launch configuration function. This is the name
/// of the function that will be called to configure kernel call, with the
/// parameters specified via <<<>>>.
std::string getCudaConfigureFuncName() const;
/// \name Code completion
//@{
/// Describes the context in which code completion occurs.
enum ParserCompletionContext {
/// Code completion occurs at top-level or namespace context.
PCC_Namespace,
/// Code completion occurs within a class, struct, or union.
PCC_Class,
/// Code completion occurs within an Objective-C interface, protocol,
/// or category.
PCC_ObjCInterface,
/// Code completion occurs within an Objective-C implementation or
/// category implementation
PCC_ObjCImplementation,
/// Code completion occurs within the list of instance variables
/// in an Objective-C interface, protocol, category, or implementation.
PCC_ObjCInstanceVariableList,
/// Code completion occurs following one or more template
/// headers.
PCC_Template,
/// Code completion occurs following one or more template
/// headers within a class.
PCC_MemberTemplate,
/// Code completion occurs within an expression.
PCC_Expression,
/// Code completion occurs within a statement, which may
/// also be an expression or a declaration.
PCC_Statement,
/// Code completion occurs at the beginning of the
/// initialization statement (or expression) in a for loop.
PCC_ForInit,
/// Code completion occurs within the condition of an if,
/// while, switch, or for statement.
PCC_Condition,
/// Code completion occurs within the body of a function on a
/// recovery path, where we do not have a specific handle on our position
/// in the grammar.
PCC_RecoveryInFunction,
/// Code completion occurs where only a type is permitted.
PCC_Type,
/// Code completion occurs in a parenthesized expression, which
/// might also be a type cast.
PCC_ParenthesizedExpression,
/// Code completion occurs within a sequence of declaration
/// specifiers within a function, method, or block.
PCC_LocalDeclarationSpecifiers
};
void CodeCompleteModuleImport(SourceLocation ImportLoc, ModuleIdPath Path);
void CodeCompleteOrdinaryName(Scope *S,
ParserCompletionContext CompletionContext);
void CodeCompleteDeclSpec(Scope *S, DeclSpec &DS,
bool AllowNonIdentifiers,
bool AllowNestedNameSpecifiers);
struct CodeCompleteExpressionData;
void CodeCompleteExpression(Scope *S,
const CodeCompleteExpressionData &Data);
void CodeCompleteExpression(Scope *S, QualType PreferredType,
bool IsParenthesized = false);
void CodeCompleteMemberReferenceExpr(Scope *S, Expr *Base, Expr *OtherOpBase,
SourceLocation OpLoc, bool IsArrow,
bool IsBaseExprStatement,
QualType PreferredType);
void CodeCompletePostfixExpression(Scope *S, ExprResult LHS,
QualType PreferredType);
void CodeCompleteTag(Scope *S, unsigned TagSpec);
void CodeCompleteTypeQualifiers(DeclSpec &DS);
void CodeCompleteFunctionQualifiers(DeclSpec &DS, Declarator &D,
const VirtSpecifiers *VS = nullptr);
void CodeCompleteBracketDeclarator(Scope *S);
void CodeCompleteCase(Scope *S);
/// Reports signatures for a call to CodeCompleteConsumer and returns the
/// preferred type for the current argument. Returned type can be null.
QualType ProduceCallSignatureHelp(Scope *S, Expr *Fn, ArrayRef<Expr *> Args,
SourceLocation OpenParLoc);
QualType ProduceConstructorSignatureHelp(Scope *S, QualType Type,
SourceLocation Loc,
ArrayRef<Expr *> Args,
SourceLocation OpenParLoc);
QualType ProduceCtorInitMemberSignatureHelp(Scope *S, Decl *ConstructorDecl,
CXXScopeSpec SS,
ParsedType TemplateTypeTy,
ArrayRef<Expr *> ArgExprs,
IdentifierInfo *II,
SourceLocation OpenParLoc);
void CodeCompleteInitializer(Scope *S, Decl *D);
void CodeCompleteAfterIf(Scope *S);
void CodeCompleteQualifiedId(Scope *S, CXXScopeSpec &SS, bool EnteringContext,
bool IsUsingDeclaration, QualType BaseType,
QualType PreferredType);
void CodeCompleteUsing(Scope *S);
void CodeCompleteUsingDirective(Scope *S);
void CodeCompleteNamespaceDecl(Scope *S);
void CodeCompleteNamespaceAliasDecl(Scope *S);
void CodeCompleteOperatorName(Scope *S);
void CodeCompleteConstructorInitializer(
Decl *Constructor,
ArrayRef<CXXCtorInitializer *> Initializers);
void CodeCompleteLambdaIntroducer(Scope *S, LambdaIntroducer &Intro,
bool AfterAmpersand);
void CodeCompleteObjCAtDirective(Scope *S);
void CodeCompleteObjCAtVisibility(Scope *S);
void CodeCompleteObjCAtStatement(Scope *S);
void CodeCompleteObjCAtExpression(Scope *S);
void CodeCompleteObjCPropertyFlags(Scope *S, ObjCDeclSpec &ODS);
void CodeCompleteObjCPropertyGetter(Scope *S);
void CodeCompleteObjCPropertySetter(Scope *S);
void CodeCompleteObjCPassingType(Scope *S, ObjCDeclSpec &DS,
bool IsParameter);
void CodeCompleteObjCMessageReceiver(Scope *S);
void CodeCompleteObjCSuperMessage(Scope *S, SourceLocation SuperLoc,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression);
void CodeCompleteObjCClassMessage(Scope *S, ParsedType Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
bool IsSuper = false);
void CodeCompleteObjCInstanceMessage(Scope *S, Expr *Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
ObjCInterfaceDecl *Super = nullptr);
void CodeCompleteObjCForCollection(Scope *S,
DeclGroupPtrTy IterationVar);
void CodeCompleteObjCSelector(Scope *S,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCProtocolReferences(
ArrayRef<IdentifierLocPair> Protocols);
void CodeCompleteObjCProtocolDecl(Scope *S);
void CodeCompleteObjCInterfaceDecl(Scope *S);
void CodeCompleteObjCSuperclass(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationDecl(Scope *S);
void CodeCompleteObjCInterfaceCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCPropertyDefinition(Scope *S);
void CodeCompleteObjCPropertySynthesizeIvar(Scope *S,
IdentifierInfo *PropertyName);
void CodeCompleteObjCMethodDecl(Scope *S, Optional<bool> IsInstanceMethod,
ParsedType ReturnType);
void CodeCompleteObjCMethodDeclSelector(Scope *S,
bool IsInstanceMethod,
bool AtParameterName,
ParsedType ReturnType,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCClassPropertyRefExpr(Scope *S, IdentifierInfo &ClassName,
SourceLocation ClassNameLoc,
bool IsBaseExprStatement);
void CodeCompletePreprocessorDirective(bool InConditional);
void CodeCompleteInPreprocessorConditionalExclusion(Scope *S);
void CodeCompletePreprocessorMacroName(bool IsDefinition);
void CodeCompletePreprocessorExpression();
void CodeCompletePreprocessorMacroArgument(Scope *S,
IdentifierInfo *Macro,
MacroInfo *MacroInfo,
unsigned Argument);
void CodeCompleteIncludedFile(llvm::StringRef Dir, bool IsAngled);
void CodeCompleteNaturalLanguage();
void CodeCompleteAvailabilityPlatformName();
void GatherGlobalCodeCompletions(CodeCompletionAllocator &Allocator,
CodeCompletionTUInfo &CCTUInfo,
SmallVectorImpl<CodeCompletionResult> &Results);
//@}
//===--------------------------------------------------------------------===//
// Extra semantic analysis beyond the C type system
public:
SourceLocation getLocationOfStringLiteralByte(const StringLiteral *SL,
unsigned ByteNo) const;
private:
void CheckArrayAccess(const Expr *BaseExpr, const Expr *IndexExpr,
const ArraySubscriptExpr *ASE=nullptr,
bool AllowOnePastEnd=true, bool IndexNegated=false);
void CheckArrayAccess(const Expr *E);
// Used to grab the relevant information from a FormatAttr and a
// FunctionDeclaration.
struct FormatStringInfo {
unsigned FormatIdx;
unsigned FirstDataArg;
bool HasVAListArg;
};
static bool getFormatStringInfo(const FormatAttr *Format, bool IsCXXMember,
FormatStringInfo *FSI);
bool CheckFunctionCall(FunctionDecl *FDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckObjCMethodCall(ObjCMethodDecl *Method, SourceLocation loc,
ArrayRef<const Expr *> Args);
bool CheckPointerCall(NamedDecl *NDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckOtherCall(CallExpr *TheCall, const FunctionProtoType *Proto);
void CheckConstructorCall(FunctionDecl *FDecl,
ArrayRef<const Expr *> Args,
const FunctionProtoType *Proto,
SourceLocation Loc);
void checkCall(NamedDecl *FDecl, const FunctionProtoType *Proto,
const Expr *ThisArg, ArrayRef<const Expr *> Args,
bool IsMemberFunction, SourceLocation Loc, SourceRange Range,
VariadicCallType CallType);
bool CheckObjCString(Expr *Arg);
ExprResult CheckOSLogFormatStringArg(Expr *Arg);
ExprResult CheckBuiltinFunctionCall(FunctionDecl *FDecl,
unsigned BuiltinID, CallExpr *TheCall);
void checkFortifiedBuiltinMemoryFunction(FunctionDecl *FD, CallExpr *TheCall);
bool CheckARMBuiltinExclusiveCall(unsigned BuiltinID, CallExpr *TheCall,
unsigned MaxWidth);
bool CheckNeonBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckMVEBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckARMBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckAArch64BuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckBPFBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinCpu(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinArgument(unsigned BuiltinID, CallExpr *TheCall);
bool CheckMipsBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckMipsBuiltinCpu(unsigned BuiltinID, CallExpr *TheCall);
bool CheckMipsBuiltinArgument(unsigned BuiltinID, CallExpr *TheCall);
bool CheckSystemZBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinRoundingOrSAE(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinGatherScatterScale(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckPPCBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool SemaBuiltinVAStart(unsigned BuiltinID, CallExpr *TheCall);
bool SemaBuiltinVAStartARMMicrosoft(CallExpr *Call);
bool SemaBuiltinUnorderedCompare(CallExpr *TheCall);
bool SemaBuiltinFPClassification(CallExpr *TheCall, unsigned NumArgs);
bool SemaBuiltinVSX(CallExpr *TheCall);
bool SemaBuiltinOSLogFormat(CallExpr *TheCall);
public:
// Used by C++ template instantiation.
ExprResult SemaBuiltinShuffleVector(CallExpr *TheCall);
ExprResult SemaConvertVectorExpr(Expr *E, TypeSourceInfo *TInfo,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
private:
bool SemaBuiltinPrefetch(CallExpr *TheCall);
bool SemaBuiltinAllocaWithAlign(CallExpr *TheCall);
bool SemaBuiltinAssume(CallExpr *TheCall);
bool SemaBuiltinAssumeAligned(CallExpr *TheCall);
bool SemaBuiltinLongjmp(CallExpr *TheCall);
bool SemaBuiltinSetjmp(CallExpr *TheCall);
ExprResult SemaBuiltinAtomicOverloaded(ExprResult TheCallResult);
ExprResult SemaBuiltinNontemporalOverloaded(ExprResult TheCallResult);
ExprResult SemaAtomicOpsOverloaded(ExprResult TheCallResult,
AtomicExpr::AtomicOp Op);
ExprResult SemaBuiltinOperatorNewDeleteOverloaded(ExprResult TheCallResult,
bool IsDelete);
bool SemaBuiltinConstantArg(CallExpr *TheCall, int ArgNum,
llvm::APSInt &Result);
bool SemaBuiltinConstantArgRange(CallExpr *TheCall, int ArgNum, int Low,
int High, bool RangeIsError = true);
bool SemaBuiltinConstantArgMultiple(CallExpr *TheCall, int ArgNum,
unsigned Multiple);
bool SemaBuiltinConstantArgPower2(CallExpr *TheCall, int ArgNum);
bool SemaBuiltinConstantArgShiftedByte(CallExpr *TheCall, int ArgNum);
bool SemaBuiltinConstantArgShiftedByteOrXXFF(CallExpr *TheCall, int ArgNum);
bool SemaBuiltinARMSpecialReg(unsigned BuiltinID, CallExpr *TheCall,
int ArgNum, unsigned ExpectedFieldNum,
bool AllowName);
bool SemaBuiltinARMMemoryTaggingCall(unsigned BuiltinID, CallExpr *TheCall);
public:
enum FormatStringType {
FST_Scanf,
FST_Printf,
FST_NSString,
FST_Strftime,
FST_Strfmon,
FST_Kprintf,
FST_FreeBSDKPrintf,
FST_OSTrace,
FST_OSLog,
FST_Unknown
};
static FormatStringType GetFormatStringType(const FormatAttr *Format);
bool FormatStringHasSArg(const StringLiteral *FExpr);
static bool GetFormatNSStringIdx(const FormatAttr *Format, unsigned &Idx);
private:
bool CheckFormatArguments(const FormatAttr *Format,
ArrayRef<const Expr *> Args,
bool IsCXXMember,
VariadicCallType CallType,
SourceLocation Loc, SourceRange Range,
llvm::SmallBitVector &CheckedVarArgs);
bool CheckFormatArguments(ArrayRef<const Expr *> Args,
bool HasVAListArg, unsigned format_idx,
unsigned firstDataArg, FormatStringType Type,
VariadicCallType CallType,
SourceLocation Loc, SourceRange range,
llvm::SmallBitVector &CheckedVarArgs);
void CheckAbsoluteValueFunction(const CallExpr *Call,
const FunctionDecl *FDecl);
void CheckMaxUnsignedZero(const CallExpr *Call, const FunctionDecl *FDecl);
void CheckMemaccessArguments(const CallExpr *Call,
unsigned BId,
IdentifierInfo *FnName);
void CheckStrlcpycatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckStrncatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckReturnValExpr(Expr *RetValExp, QualType lhsType,
SourceLocation ReturnLoc,
bool isObjCMethod = false,
const AttrVec *Attrs = nullptr,
const FunctionDecl *FD = nullptr);
public:
void CheckFloatComparison(SourceLocation Loc, Expr *LHS, Expr *RHS);
private:
void CheckImplicitConversions(Expr *E, SourceLocation CC = SourceLocation());
void CheckBoolLikeConversion(Expr *E, SourceLocation CC);
void CheckForIntOverflow(Expr *E);
void CheckUnsequencedOperations(const Expr *E);
/// Perform semantic checks on a completed expression. This will either
/// be a full-expression or a default argument expression.
void CheckCompletedExpr(Expr *E, SourceLocation CheckLoc = SourceLocation(),
bool IsConstexpr = false);
void CheckBitFieldInitialization(SourceLocation InitLoc, FieldDecl *Field,
Expr *Init);
/// Check if there is a field shadowing.
void CheckShadowInheritedFields(const SourceLocation &Loc,
DeclarationName FieldName,
const CXXRecordDecl *RD,
bool DeclIsField = true);
/// Check if the given expression contains 'break' or 'continue'
/// statement that produces control flow different from GCC.
void CheckBreakContinueBinding(Expr *E);
/// Check whether receiver is mutable ObjC container which
/// attempts to add itself into the container
void CheckObjCCircularContainer(ObjCMessageExpr *Message);
void AnalyzeDeleteExprMismatch(const CXXDeleteExpr *DE);
void AnalyzeDeleteExprMismatch(FieldDecl *Field, SourceLocation DeleteLoc,
bool DeleteWasArrayForm);
public:
/// Register a magic integral constant to be used as a type tag.
void RegisterTypeTagForDatatype(const IdentifierInfo *ArgumentKind,
uint64_t MagicValue, QualType Type,
bool LayoutCompatible, bool MustBeNull);
struct TypeTagData {
TypeTagData() {}
TypeTagData(QualType Type, bool LayoutCompatible, bool MustBeNull) :
Type(Type), LayoutCompatible(LayoutCompatible),
MustBeNull(MustBeNull)
{}
QualType Type;
/// If true, \c Type should be compared with other expression's types for
/// layout-compatibility.
unsigned LayoutCompatible : 1;
unsigned MustBeNull : 1;
};
/// A pair of ArgumentKind identifier and magic value. This uniquely
/// identifies the magic value.
typedef std::pair<const IdentifierInfo *, uint64_t> TypeTagMagicValue;
private:
/// A map from magic value to type information.
std::unique_ptr<llvm::DenseMap<TypeTagMagicValue, TypeTagData>>
TypeTagForDatatypeMagicValues;
/// Peform checks on a call of a function with argument_with_type_tag
/// or pointer_with_type_tag attributes.
void CheckArgumentWithTypeTag(const ArgumentWithTypeTagAttr *Attr,
const ArrayRef<const Expr *> ExprArgs,
SourceLocation CallSiteLoc);
/// Check if we are taking the address of a packed field
/// as this may be a problem if the pointer value is dereferenced.
void CheckAddressOfPackedMember(Expr *rhs);
/// The parser's current scope.
///
/// The parser maintains this state here.
Scope *CurScope;
mutable IdentifierInfo *Ident_super;
mutable IdentifierInfo *Ident___float128;
/// Nullability type specifiers.
IdentifierInfo *Ident__Nonnull = nullptr;
IdentifierInfo *Ident__Nullable = nullptr;
IdentifierInfo *Ident__Null_unspecified = nullptr;
IdentifierInfo *Ident_NSError = nullptr;
/// The handler for the FileChanged preprocessor events.
///
/// Used for diagnostics that implement custom semantic analysis for #include
/// directives, like -Wpragma-pack.
sema::SemaPPCallbacks *SemaPPCallbackHandler;
protected:
friend class Parser;
friend class InitializationSequence;
friend class ASTReader;
friend class ASTDeclReader;
friend class ASTWriter;
public:
/// Retrieve the keyword associated
IdentifierInfo *getNullabilityKeyword(NullabilityKind nullability);
/// The struct behind the CFErrorRef pointer.
RecordDecl *CFError = nullptr;
bool isCFError(RecordDecl *D);
/// Retrieve the identifier "NSError".
IdentifierInfo *getNSErrorIdent();
/// Retrieve the parser's current scope.
///
/// This routine must only be used when it is certain that semantic analysis
/// and the parser are in precisely the same context, which is not the case
/// when, e.g., we are performing any kind of template instantiation.
/// Therefore, the only safe places to use this scope are in the parser
/// itself and in routines directly invoked from the parser and *never* from
/// template substitution or instantiation.
Scope *getCurScope() const { return CurScope; }
void incrementMSManglingNumber() const {
return CurScope->incrementMSManglingNumber();
}
IdentifierInfo *getSuperIdentifier() const;
IdentifierInfo *getFloat128Identifier() const;
Decl *getObjCDeclContext() const;
DeclContext *getCurLexicalContext() const {
return OriginalLexicalContext ? OriginalLexicalContext : CurContext;
}
const DeclContext *getCurObjCLexicalContext() const {
const DeclContext *DC = getCurLexicalContext();
// A category implicitly has the attribute of the interface.
if (const ObjCCategoryDecl *CatD = dyn_cast<ObjCCategoryDecl>(DC))
DC = CatD->getClassInterface();
return DC;
}
/// To be used for checking whether the arguments being passed to
/// function exceeds the number of parameters expected for it.
static bool TooManyArguments(size_t NumParams, size_t NumArgs,
bool PartialOverloading = false) {
// We check whether we're just after a comma in code-completion.
if (NumArgs > 0 && PartialOverloading)
return NumArgs + 1 > NumParams; // If so, we view as an extra argument.
return NumArgs > NumParams;
}
// Emitting members of dllexported classes is delayed until the class
// (including field initializers) is fully parsed.
SmallVector<CXXRecordDecl*, 4> DelayedDllExportClasses;
SmallVector<CXXMethodDecl*, 4> DelayedDllExportMemberFunctions;
private:
int ParsingClassDepth = 0;
class SavePendingParsedClassStateRAII {
public:
SavePendingParsedClassStateRAII(Sema &S) : S(S) { swapSavedState(); }
~SavePendingParsedClassStateRAII() {
assert(S.DelayedOverridingExceptionSpecChecks.empty() &&
"there shouldn't be any pending delayed exception spec checks");
assert(S.DelayedEquivalentExceptionSpecChecks.empty() &&
"there shouldn't be any pending delayed exception spec checks");
swapSavedState();
}
private:
Sema &S;
decltype(DelayedOverridingExceptionSpecChecks)
SavedOverridingExceptionSpecChecks;
decltype(DelayedEquivalentExceptionSpecChecks)
SavedEquivalentExceptionSpecChecks;
void swapSavedState() {
SavedOverridingExceptionSpecChecks.swap(
S.DelayedOverridingExceptionSpecChecks);
SavedEquivalentExceptionSpecChecks.swap(
S.DelayedEquivalentExceptionSpecChecks);
}
};
/// Helper class that collects misaligned member designations and
/// their location info for delayed diagnostics.
struct MisalignedMember {
Expr *E;
RecordDecl *RD;
ValueDecl *MD;
CharUnits Alignment;
MisalignedMember() : E(), RD(), MD(), Alignment() {}
MisalignedMember(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment)
: E(E), RD(RD), MD(MD), Alignment(Alignment) {}
explicit MisalignedMember(Expr *E)
: MisalignedMember(E, nullptr, nullptr, CharUnits()) {}
bool operator==(const MisalignedMember &m) { return this->E == m.E; }
};
/// Small set of gathered accesses to potentially misaligned members
/// due to the packed attribute.
SmallVector<MisalignedMember, 4> MisalignedMembers;
/// Adds an expression to the set of gathered misaligned members.
void AddPotentialMisalignedMembers(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment);
public:
/// Diagnoses the current set of gathered accesses. This typically
/// happens at full expression level. The set is cleared after emitting the
/// diagnostics.
void DiagnoseMisalignedMembers();
/// This function checks if the expression is in the sef of potentially
/// misaligned members and it is converted to some pointer type T with lower
/// or equal alignment requirements. If so it removes it. This is used when
/// we do not want to diagnose such misaligned access (e.g. in conversions to
/// void*).
void DiscardMisalignedMemberAddress(const Type *T, Expr *E);
/// This function calls Action when it determines that E designates a
/// misaligned member due to the packed attribute. This is used to emit
/// local diagnostics like in reference binding.
void RefersToMemberWithReducedAlignment(
Expr *E,
llvm::function_ref<void(Expr *, RecordDecl *, FieldDecl *, CharUnits)>
Action);
/// Describes the reason a calling convention specification was ignored, used
/// for diagnostics.
enum class CallingConventionIgnoredReason {
ForThisTarget = 0,
VariadicFunction,
ConstructorDestructor,
BuiltinFunction
};
};
/// RAII object that enters a new expression evaluation context.
class EnterExpressionEvaluationContext {
Sema &Actions;
bool Entered = true;
public:
EnterExpressionEvaluationContext(
Sema &Actions, Sema::ExpressionEvaluationContext NewContext,
Decl *LambdaContextDecl = nullptr,
Sema::ExpressionEvaluationContextRecord::ExpressionKind ExprContext =
Sema::ExpressionEvaluationContextRecord::EK_Other,
bool ShouldEnter = true)
: Actions(Actions), Entered(ShouldEnter) {
if (Entered)
Actions.PushExpressionEvaluationContext(NewContext, LambdaContextDecl,
ExprContext);
}
EnterExpressionEvaluationContext(
Sema &Actions, Sema::ExpressionEvaluationContext NewContext,
Sema::ReuseLambdaContextDecl_t,
Sema::ExpressionEvaluationContextRecord::ExpressionKind ExprContext =
Sema::ExpressionEvaluationContextRecord::EK_Other)
: Actions(Actions) {
Actions.PushExpressionEvaluationContext(
NewContext, Sema::ReuseLambdaContextDecl, ExprContext);
}
enum InitListTag { InitList };
EnterExpressionEvaluationContext(Sema &Actions, InitListTag,
bool ShouldEnter = true)
: Actions(Actions), Entered(false) {
// In C++11 onwards, narrowing checks are performed on the contents of
// braced-init-lists, even when they occur within unevaluated operands.
// Therefore we still need to instantiate constexpr functions used in such
// a context.
if (ShouldEnter && Actions.isUnevaluatedContext() &&
Actions.getLangOpts().CPlusPlus11) {
Actions.PushExpressionEvaluationContext(
Sema::ExpressionEvaluationContext::UnevaluatedList);
Entered = true;
}
}
~EnterExpressionEvaluationContext() {
if (Entered)
Actions.PopExpressionEvaluationContext();
}
};
DeductionFailureInfo
MakeDeductionFailureInfo(ASTContext &Context, Sema::TemplateDeductionResult TDK,
sema::TemplateDeductionInfo &Info);
/// Contains a late templated function.
/// Will be parsed at the end of the translation unit, used by Sema & Parser.
struct LateParsedTemplate {
CachedTokens Toks;
/// The template function declaration to be late parsed.
Decl *D;
};
} // end namespace clang
namespace llvm {
// Hash a FunctionDeclAndLoc by looking at both its FunctionDecl and its
// SourceLocation.
template <> struct DenseMapInfo<clang::Sema::FunctionDeclAndLoc> {
using FunctionDeclAndLoc = clang::Sema::FunctionDeclAndLoc;
using FDBaseInfo = DenseMapInfo<clang::CanonicalDeclPtr<clang::FunctionDecl>>;
static FunctionDeclAndLoc getEmptyKey() {
return {FDBaseInfo::getEmptyKey(), clang::SourceLocation()};
}
static FunctionDeclAndLoc getTombstoneKey() {
return {FDBaseInfo::getTombstoneKey(), clang::SourceLocation()};
}
static unsigned getHashValue(const FunctionDeclAndLoc &FDL) {
return hash_combine(FDBaseInfo::getHashValue(FDL.FD),
FDL.Loc.getRawEncoding());
}
static bool isEqual(const FunctionDeclAndLoc &LHS,
const FunctionDeclAndLoc &RHS) {
return LHS.FD == RHS.FD && LHS.Loc == RHS.Loc;
}
};
} // namespace llvm
#endif
|
convolution_packnto1_fp16s.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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.
static void convolution_packnto1_fp16s_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_fp16, const Mat& bias_data, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int activation_type, const Mat& activation_params, const Option& opt)
{
const int packn = csrr_vlenb() / 2;
const word_type vl = vsetvl_e16m1(packn);
int w = bottom_blob.w;
int channels = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int maxk = kernel_w * kernel_h;
// kernel offsets
std::vector<int> _space_ofs(maxk);
int* space_ofs = &_space_ofs[0];
{
int p1 = 0;
int p2 = 0;
int gap = w * dilation_h - kernel_w * dilation_w;
for (int i = 0; i < kernel_h; i++)
{
for (int j = 0; j < kernel_w; j++)
{
space_ofs[p1] = p2;
p1++;
p2 += dilation_w;
}
p2 += gap;
}
}
const float* bias_data_ptr = bias_data;
// num_output
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
__fp16* outptr = top_blob.channel(p);
for (int i = 0; i < outh; i++)
{
for (int j = 0; j < outw; j++)
{
float sum = 0.f;
if (bias_data_ptr)
{
sum = bias_data_ptr[p];
}
vfloat32m2_t _sum = vfmv_v_f_f32m2(0.f, vl);
const __fp16* kptr = weight_data_fp16.channel(p);
// channels
for (int q = 0; q < channels; q++)
{
const Mat m = bottom_blob.channel(q);
const __fp16* sptr = m.row<const __fp16>(i * stride_h) + j * stride_w * packn;
for (int k = 0; k < maxk; k++)
{
vfloat16m1_t _val = vle16_v_f16m1(sptr + space_ofs[k] * packn, vl);
vfloat16m1_t _w = vle16_v_f16m1(kptr, vl);
_sum = vfwmacc_vv_f32m2(_sum, _val, _w, vl);
kptr += packn;
}
}
sum = vfmv_f_s_f32m1_f32(vfredsum_vs_f32m2_f32m1(vfloat32m1_t(), _sum, vfmv_s_f_f32m1(vfloat32m1_t(), sum, vl), vl));
sum = activation_ss(sum, activation_type, activation_params);
outptr[j] = (__fp16)sum;
}
outptr += outw;
}
}
}
static void convolution_packnto1_fp16sa_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_fp16, const Mat& bias_data_fp16, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int activation_type, const Mat& activation_params, const Option& opt)
{
const int packn = csrr_vlenb() / 2;
const word_type vl = vsetvl_e16m1(packn);
int w = bottom_blob.w;
int channels = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int maxk = kernel_w * kernel_h;
// kernel offsets
std::vector<int> _space_ofs(maxk);
int* space_ofs = &_space_ofs[0];
{
int p1 = 0;
int p2 = 0;
int gap = w * dilation_h - kernel_w * dilation_w;
for (int i = 0; i < kernel_h; i++)
{
for (int j = 0; j < kernel_w; j++)
{
space_ofs[p1] = p2;
p1++;
p2 += dilation_w;
}
p2 += gap;
}
}
const __fp16* bias_data_ptr = bias_data_fp16;
// num_output
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
__fp16* outptr = top_blob.channel(p);
for (int i = 0; i < outh; i++)
{
for (int j = 0; j < outw; j++)
{
__fp16 sum = 0.f;
if (bias_data_ptr)
{
sum = bias_data_ptr[p];
}
vfloat16m1_t _sum = vfmv_v_f_f16m1(0.f, vl);
const __fp16* kptr = weight_data_fp16.channel(p);
// channels
for (int q = 0; q < channels; q++)
{
const Mat m = bottom_blob.channel(q);
const __fp16* sptr = m.row<const __fp16>(i * stride_h) + j * stride_w * packn;
for (int k = 0; k < maxk; k++)
{
vfloat16m1_t _val = vle16_v_f16m1(sptr + space_ofs[k] * packn, vl);
vfloat16m1_t _w = vle16_v_f16m1(kptr, vl);
_sum = vfmacc_vv_f16m1(_sum, _val, _w, vl);
kptr += packn;
}
}
sum = vfmv_f_s_f16m1_f16(vfredsum_vs_f16m1_f16m1(vfloat16m1_t(), _sum, vfmv_s_f_f16m1(vfloat16m1_t(), sum, vl), vl));
sum = activation_ss(sum, activation_type, activation_params);
outptr[j] = sum;
}
outptr += outw;
}
}
}
|
conv1x1s2_pack4_neon.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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 "option.h"
#include "mat.h"
namespace ncnn{
static void conv1x1s2_pack4_neon(const Mat& bottom_blob, Mat& top_blob, const Option& opt)
{
Mat bottom_blob_shrinked = top_blob;
int w = bottom_blob.w;
int channels = bottom_blob.c;
//size_t elemsize = bottom_blob.elemsize;
//int elempack = bottom_blob.elempack;
int outw = top_blob.w;
int outh = top_blob.h;
const int tailstep = (w - 2*outw + w) * 4;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=0; p<channels; p++)
{
const float* r0 = bottom_blob.channel(p);
float* outptr = bottom_blob_shrinked.channel(p);
for (int i = 0; i < outh; i++)
{
for (int j = 0; j < outw; j++)
{
float32x4_t _v = vld1q_f32(r0);
vst1q_f32(outptr, _v);
r0 += 8;
outptr += 4;
}
r0 += tailstep;
}
}
}
}
|
relu-ring.h | /*
Authors: Mayank Rathee
Copyright:
Copyright (c) 2020 Microsoft Research
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 RELU_RING_H__
#define RELU_RING_H__
#include "Millionaire/millionaire.h"
#include "NonLinear/relu-interface.h"
#include <omp.h>
#define RING 0
#define OFF_PLACE
template <typename type> class ReLURingProtocol : public ReLUProtocol<type> {
public:
sci::IOPack *iopack;
sci::OTPack *otpack;
TripleGenerator *triple_gen;
MillionaireProtocol *millionaire;
int party;
int algeb_str;
int l, b;
int num_cmps;
uint8_t two_small = 1 << 1;
uint8_t zero_small = 0;
uint64_t mask_take_32 = -1;
uint64_t msb_one;
uint64_t cut_mask;
uint64_t relu_comparison_rhs;
type mask_l;
type relu_comparison_rhs_type;
type cut_mask_type;
type msb_one_type;
// Constructor
ReLURingProtocol(int party, int algeb_str, sci::IOPack *iopack, int l, int b,
sci::OTPack *otpack) {
this->party = party;
this->algeb_str = algeb_str;
this->iopack = iopack;
this->l = l;
this->b = b;
this->otpack = otpack;
this->millionaire = new MillionaireProtocol(party, iopack, otpack);
this->triple_gen = this->millionaire->triple_gen;
configure();
}
// Destructor
virtual ~ReLURingProtocol() { delete millionaire; }
void configure() {
if (this->l != 32 && this->l != 64) {
mask_l = (type)((1ULL << l) - 1);
} else if (this->l == 32) {
mask_l = -1;
} else { // l = 64
mask_l = -1ULL;
}
if (sizeof(type) == sizeof(uint64_t)) {
msb_one = (1ULL << (this->l - 1));
relu_comparison_rhs_type = msb_one - 1ULL;
relu_comparison_rhs = relu_comparison_rhs_type;
cut_mask_type = relu_comparison_rhs_type;
cut_mask = cut_mask_type;
} else {
msb_one_type = (1 << (this->l - 1));
relu_comparison_rhs_type = msb_one_type - 1;
relu_comparison_rhs = relu_comparison_rhs_type + 0ULL;
cut_mask_type = relu_comparison_rhs_type;
cut_mask = cut_mask_type + 0ULL;
}
}
// Ideal Functionality
void drelu_ring_ideal_func(uint8_t *result, type *sh1, type *sh2,
int num_relu) {
uint8_t *msb1 = new uint8_t[num_relu];
uint8_t *msb2 = new uint8_t[num_relu];
type *plain_value = new type[num_relu];
for (int i = 0; i < num_relu; i++) {
plain_value[i] = sh1[i] + sh2[i];
}
uint8_t *actual_drelu = new uint8_t[num_relu];
uint64_t index_fetch = (sizeof(type) == sizeof(uint64_t)) ? 7 : 3;
for (int i = 0; i < num_relu; i++) {
msb1[i] = (*((uint8_t *)(&(sh1[i])) + index_fetch)) >> 7;
msb2[i] = (*((uint8_t *)(&(sh2[i])) + index_fetch)) >> 7;
actual_drelu[i] = (*((uint8_t *)(&(plain_value[i])) + index_fetch)) >> 7;
}
type *sh1_cut = new type[num_relu];
type *sh2_cut = new type[num_relu];
uint8_t *wrap = new uint8_t[num_relu];
uint8_t *wrap_orig = new uint8_t[num_relu];
uint8_t *relu_comparison_avoid_warning = new uint8_t[sizeof(type)];
memcpy(relu_comparison_avoid_warning, &relu_comparison_rhs, sizeof(type));
for (int i = 0; i < num_relu; i++) {
sh1_cut[i] = sh1[i] & cut_mask;
sh2_cut[i] = sh2[i] & cut_mask;
wrap_orig[i] =
((sh1_cut[i] + sh2_cut[i]) > *(type *)relu_comparison_avoid_warning);
wrap[i] = wrap_orig[i];
wrap[i] ^= msb1[i];
wrap[i] ^= msb2[i];
}
memcpy(result, wrap, num_relu);
for (int i = 0; i < num_relu; i++) {
assert((wrap[i] == actual_drelu[i]) &&
"The computed DReLU did not match the actual DReLU");
}
}
void relu(type *result, type *share, int num_relu,
uint8_t *drelu_res = nullptr, bool skip_ot = false) {
uint8_t *msb_local_share = new uint8_t[num_relu];
uint64_t *array64;
type *array_type;
array64 = new uint64_t[num_relu];
array_type = new type[num_relu];
if (this->algeb_str == RING) {
this->num_cmps = num_relu;
} else {
abort();
}
uint8_t *wrap = new uint8_t[num_cmps];
for (int i = 0; i < num_relu; i++) {
msb_local_share[i] = (uint8_t)(share[i] >> (l - 1));
array_type[i] = share[i] & cut_mask_type;
}
type temp;
switch (this->party) {
case sci::ALICE: {
for (int i = 0; i < num_relu; i++) {
array64[i] = array_type[i] + 0ULL;
}
break;
}
case sci::BOB: {
for (int i = 0; i < num_relu; i++) {
temp = this->relu_comparison_rhs_type -
array_type[i]; // This value is never negative.
array64[i] = 0ULL + temp;
}
break;
}
}
this->millionaire->compare(wrap, array64, num_cmps, l - 1, true, false, b);
for (int i = 0; i < num_relu; i++) {
msb_local_share[i] = (msb_local_share[i] + wrap[i]) % two_small;
}
if (drelu_res != nullptr) {
for (int i = 0; i < num_relu; i++) {
drelu_res[i] = msb_local_share[i];
}
}
if (skip_ot) {
delete[] msb_local_share;
delete[] array64;
delete[] array_type;
return;
}
// Now perform x.msb(x)
uint64_t **ot_messages = new uint64_t *[num_relu];
for (int i = 0; i < num_relu; i++) {
ot_messages[i] = new uint64_t[2];
}
uint64_t *additive_masks = new uint64_t[num_relu];
uint64_t *received_shares = new uint64_t[num_relu];
this->triple_gen->prg->random_data(additive_masks, num_relu * sizeof(type));
for (int i = 0; i < num_relu; i++) {
set_relu_end_ot_messages(ot_messages[i], share + i, msb_local_share + i,
((type *)additive_masks) + i);
}
#pragma omp parallel num_threads(2)
{
if (omp_get_thread_num() == 1) {
if (party == sci::ALICE) {
otpack->iknp_reversed->recv(received_shares, msb_local_share,
num_relu, this->l);
} else { // party == sci::BOB
otpack->iknp_reversed->send(ot_messages, num_relu, this->l);
}
} else {
if (party == sci::ALICE) {
otpack->iknp_straight->send(ot_messages, num_relu, this->l);
} else { // party == sci::BOB
otpack->iknp_straight->recv(received_shares, msb_local_share,
num_relu, this->l);
}
}
}
for (int i = 0; i < num_relu; i++) {
result[i] = ((type *)additive_masks)[i] +
((type *)received_shares)[(8 / sizeof(type)) * i];
result[i] &= mask_l;
}
delete[] msb_local_share;
delete[] array64;
delete[] array_type;
delete[] additive_masks;
delete[] received_shares;
for (int i = 0; i < num_relu; i++) {
delete[] ot_messages[i];
}
delete[] ot_messages;
delete[] wrap;
}
void set_relu_end_ot_messages(uint64_t *ot_messages, type *value_share,
uint8_t *xor_share, type *additive_mask) {
type temp0, temp1;
temp0 = (value_share[0] - additive_mask[0]);
temp1 = (0 - additive_mask[0]);
if (*xor_share == zero_small) {
ot_messages[0] = 0ULL + temp0;
ot_messages[1] = 0ULL + temp1;
} else {
ot_messages[0] = 0ULL + temp1;
ot_messages[1] = 0ULL + temp0;
}
}
};
#endif // RELU_RING_H__
|
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;
}
|
nodal_two_step_v_p_strategy.h | //
// Project Name: KratosPFEMFluidDynamicsApplication $
// Last modified by: $Author: AFranci $
// Date: $Date: June 2018 $
// Revision: $Revision: 0.0 $
//
//
#ifndef KRATOS_NODAL_TWO_STEP_V_P_STRATEGY_H
#define KRATOS_NODAL_TWO_STEP_V_P_STRATEGY_H
#include "includes/define.h"
#include "includes/model_part.h"
#include "includes/deprecated_variables.h"
#include "includes/cfd_variables.h"
#include "utilities/openmp_utils.h"
#include "processes/process.h"
#include "solving_strategies/schemes/scheme.h"
#include "solving_strategies/strategies/solving_strategy.h"
#include "custom_utilities/mesher_utilities.hpp"
#include "custom_utilities/boundary_normals_calculation_utilities.hpp"
#include "geometries/geometry.h"
#include "utilities/geometry_utilities.h"
#include "solving_strategies/schemes/residualbased_incrementalupdate_static_scheme.h"
#include "custom_strategies/builders_and_solvers/nodal_residualbased_elimination_builder_and_solver.h"
#include "custom_strategies/builders_and_solvers/nodal_residualbased_elimination_builder_and_solver_continuity.h"
#include "custom_strategies/builders_and_solvers/nodal_residualbased_block_builder_and_solver.h"
#include "custom_utilities/solver_settings.h"
#include "custom_strategies/strategies/gauss_seidel_linear_strategy.h"
#include "pfem_fluid_dynamics_application_variables.h"
#include <stdio.h>
#include <math.h>
#include <iostream>
#include <fstream>
namespace Kratos
{
///@addtogroup PFEMFluidDynamicsApplication
///@{
///@name Kratos Globals
///@{
///@}
///@name Type Definitions
///@{
///@}
///@name Enum's
///@{
///@}
///@name Functions
///@{
///@}
///@name Kratos Classes
///@{
template <class TSparseSpace,
class TDenseSpace,
class TLinearSolver>
class NodalTwoStepVPStrategy : public SolvingStrategy<TSparseSpace, TDenseSpace, TLinearSolver>
{
public:
///@name Type Definitions
///@{
KRATOS_CLASS_POINTER_DEFINITION(NodalTwoStepVPStrategy);
/// Counted pointer of NodalTwoStepVPStrategy
//typedef boost::shared_ptr< NodalTwoStepVPStrategy<TSparseSpace, TDenseSpace, TLinearSolver> > Pointer;
typedef SolvingStrategy<TSparseSpace, TDenseSpace, TLinearSolver> BaseType;
typedef typename BaseType::TDataType TDataType;
/// Node type (default is: Node<3>)
typedef Node<3> NodeType;
/// Geometry type (using with given NodeType)
typedef Geometry<NodeType> GeometryType;
typedef std::size_t SizeType;
//typedef typename BaseType::DofSetType DofSetType;
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::ElementsArrayType ElementsArrayType;
typedef typename SolvingStrategy<TSparseSpace, TDenseSpace, TLinearSolver>::Pointer StrategyPointerType;
typedef TwoStepVPSolverSettings<TSparseSpace, TDenseSpace, TLinearSolver> SolverSettingsType;
typedef GeometryType::ShapeFunctionsGradientsType ShapeFunctionDerivativesArrayType;
typedef GlobalPointersVector<Node<3>> NodeWeakPtrVectorType;
///@}
///@name Life Cycle
///@{
NodalTwoStepVPStrategy(ModelPart &rModelPart,
SolverSettingsType &rSolverConfig) : BaseType(rModelPart)
{
InitializeStrategy(rSolverConfig);
}
NodalTwoStepVPStrategy(ModelPart &rModelPart,
/*SolverConfiguration<TSparseSpace, TDenseSpace, TLinearSolver>& rSolverConfig,*/
typename TLinearSolver::Pointer pVelocityLinearSolver,
typename TLinearSolver::Pointer pPressureLinearSolver,
bool ReformDofSet = true,
double VelTol = 0.0001,
double PresTol = 0.0001,
int MaxPressureIterations = 1, // Only for predictor-corrector
unsigned int TimeOrder = 2,
unsigned int DomainSize = 2) : BaseType(rModelPart), // Move Mesh flag, pass as input?
mVelocityTolerance(VelTol),
mPressureTolerance(PresTol),
mMaxPressureIter(MaxPressureIterations),
mDomainSize(DomainSize),
mTimeOrder(TimeOrder),
mReformDofSet(ReformDofSet)
{
KRATOS_TRY;
BaseType::SetEchoLevel(1);
// Check that input parameters are reasonable and sufficient.
this->Check();
bool CalculateNormDxFlag = true;
bool ReformDofAtEachIteration = false; // DofSet modifiaction is managed by the fractional step strategy, auxiliary strategies should not modify the DofSet directly.
// Additional Typedefs
typedef typename BuilderAndSolver<TSparseSpace, TDenseSpace, TLinearSolver>::Pointer BuilderSolverTypePointer;
typedef SolvingStrategy<TSparseSpace, TDenseSpace, TLinearSolver> BaseType;
//initializing fractional velocity solution step
typedef Scheme<TSparseSpace, TDenseSpace> SchemeType;
typename SchemeType::Pointer pScheme;
typename SchemeType::Pointer Temp = typename SchemeType::Pointer(new ResidualBasedIncrementalUpdateStaticScheme<TSparseSpace, TDenseSpace>());
/* typename SchemeType::Pointer Temp = typename SchemeType::Pointer(new IncrementalUpdateStaticScheme< TSparseSpace, TDenseSpace > ()); */
pScheme.swap(Temp);
//CONSTRUCTION OF VELOCITY
BuilderSolverTypePointer vel_build = BuilderSolverTypePointer(new NodalResidualBasedEliminationBuilderAndSolver<TSparseSpace, TDenseSpace, TLinearSolver>(pVelocityLinearSolver));
/* BuilderSolverTypePointer vel_build = BuilderSolverTypePointer(new ResidualBasedBlockBuilderAndSolver<TSparseSpace, TDenseSpace, TLinearSolver > (pVelocityLinearSolver)); */
this->mpMomentumStrategy = typename BaseType::Pointer(new GaussSeidelLinearStrategy<TSparseSpace, TDenseSpace, TLinearSolver>(rModelPart, pScheme, pVelocityLinearSolver, vel_build, ReformDofAtEachIteration, CalculateNormDxFlag));
this->mpMomentumStrategy->SetEchoLevel(BaseType::GetEchoLevel());
vel_build->SetCalculateReactionsFlag(false);
/* BuilderSolverTypePointer pressure_build = BuilderSolverTypePointer(new ResidualBasedEliminationBuilderAndSolverComponentwise<TSparseSpace, TDenseSpace, TLinearSolver, Variable<double> >(pPressureLinearSolver, PRESSURE)); */
/* BuilderSolverTypePointer pressure_build = BuilderSolverTypePointer(new ResidualBasedBlockBuilderAndSolver<TSparseSpace, TDenseSpace, TLinearSolver >(pPressureLinearSolver)); */
BuilderSolverTypePointer pressure_build = BuilderSolverTypePointer(new NodalResidualBasedEliminationBuilderAndSolverContinuity<TSparseSpace, TDenseSpace, TLinearSolver>(pPressureLinearSolver));
/* BuilderSolverTypePointer pressure_build = BuilderSolverTypePointer(new NodalResidualBasedBlockBuilderAndSolver<TSparseSpace, TDenseSpace, TLinearSolver >(pPressureLinearSolver)); */
this->mpPressureStrategy = typename BaseType::Pointer(new GaussSeidelLinearStrategy<TSparseSpace, TDenseSpace, TLinearSolver>(rModelPart, pScheme, pPressureLinearSolver, pressure_build, ReformDofAtEachIteration, CalculateNormDxFlag));
this->mpPressureStrategy->SetEchoLevel(BaseType::GetEchoLevel());
pressure_build->SetCalculateReactionsFlag(false);
KRATOS_CATCH("");
}
/// Destructor.
virtual ~NodalTwoStepVPStrategy() {}
int Check() override
{
KRATOS_TRY;
// Check elements and conditions in the model part
int ierr = BaseType::Check();
if (ierr != 0)
return ierr;
if (DELTA_TIME.Key() == 0)
KRATOS_THROW_ERROR(std::runtime_error, "DELTA_TIME Key is 0. Check that the application was correctly registered.", "");
ModelPart &rModelPart = BaseType::GetModelPart();
// const ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
// for (ModelPart::ElementIterator itEl = rModelPart.ElementsBegin(); itEl != rModelPart.ElementsEnd(); ++itEl)
// {
// ierr = itEl->Check(rCurrentProcessInfo);
// if (ierr != 0)
// break;
// }
const auto &r_current_process_info = rModelPart.GetProcessInfo();
for (const auto &r_element : rModelPart.Elements())
{
ierr = r_element.Check(r_current_process_info);
if (ierr != 0)
{
break;
}
}
// for (ModelPart::ConditionIterator itCond = rModelPart.ConditionsBegin(); itCond != rModelPart.ConditionsEnd(); ++itCond)
// {
// ierr = itCond->Check(rCurrentProcessInfo);
// if (ierr != 0)
// break;
// }
return ierr;
KRATOS_CATCH("");
}
void SetTimeCoefficients(ProcessInfo &rCurrentProcessInfo)
{
KRATOS_TRY;
if (mTimeOrder == 2)
{
//calculate the BDF coefficients
double Dt = rCurrentProcessInfo[DELTA_TIME];
double OldDt = rCurrentProcessInfo.GetPreviousTimeStepInfo(1)[DELTA_TIME];
double Rho = OldDt / Dt;
double TimeCoeff = 1.0 / (Dt * Rho * Rho + Dt * Rho);
Vector &BDFcoeffs = rCurrentProcessInfo[BDF_COEFFICIENTS];
BDFcoeffs.resize(3, false);
BDFcoeffs[0] = TimeCoeff * (Rho * Rho + 2.0 * Rho); //coefficient for step n+1 (3/2Dt if Dt is constant)
BDFcoeffs[1] = -TimeCoeff * (Rho * Rho + 2.0 * Rho + 1.0); //coefficient for step n (-4/2Dt if Dt is constant)
BDFcoeffs[2] = TimeCoeff; //coefficient for step n-1 (1/2Dt if Dt is constant)
}
else if (mTimeOrder == 1)
{
double Dt = rCurrentProcessInfo[DELTA_TIME];
double TimeCoeff = 1.0 / Dt;
Vector &BDFcoeffs = rCurrentProcessInfo[BDF_COEFFICIENTS];
BDFcoeffs.resize(2, false);
BDFcoeffs[0] = TimeCoeff; //coefficient for step n+1 (1/Dt)
BDFcoeffs[1] = -TimeCoeff; //coefficient for step n (-1/Dt)
}
KRATOS_CATCH("");
}
bool SolveSolutionStep() override
{
// Initialize BDF2 coefficients
ModelPart &rModelPart = BaseType::GetModelPart();
ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
double currentTime = rCurrentProcessInfo[TIME];
double timeInterval = rCurrentProcessInfo[DELTA_TIME];
bool timeIntervalChanged = rCurrentProcessInfo[TIME_INTERVAL_CHANGED];
bool converged = false;
// bool momentumAlreadyConverged=false;
// bool continuityAlreadyConverged=false;
unsigned int maxNonLinearIterations = mMaxPressureIter;
KRATOS_INFO("\n Solve with nodally_integrated_two_step_vp strategy at t=") << currentTime << "s" << std::endl;
if (timeIntervalChanged == true && currentTime > 10 * timeInterval)
{
maxNonLinearIterations *= 2;
}
if (currentTime < 10 * timeInterval)
{
if (BaseType::GetEchoLevel() > 1)
std::cout << "within the first 10 time steps, I consider the given iteration number x3" << std::endl;
maxNonLinearIterations *= 3;
}
if (currentTime < 20 * timeInterval && currentTime >= 10 * timeInterval)
{
if (BaseType::GetEchoLevel() > 1)
std::cout << "within the second 10 time steps, I consider the given iteration number x2" << std::endl;
maxNonLinearIterations *= 2;
}
bool momentumConverged = true;
bool continuityConverged = false;
bool fixedTimeStep = false;
double pressureNorm = 0;
double velocityNorm = 0;
/* boost::timer solve_step_time; */
this->InitializeSolutionStep();
for (unsigned int it = 0; it < maxNonLinearIterations; ++it)
{
if (BaseType::GetEchoLevel() > 1 && rModelPart.GetCommunicator().MyPID() == 0)
std::cout << "----- > iteration: " << it << std::endl;
if (it == 0)
{
this->ComputeNodalVolume();
this->InitializeNonLinearIterations();
}
this->CalcNodalStrainsAndStresses();
momentumConverged = this->SolveMomentumIteration(it, maxNonLinearIterations, fixedTimeStep, velocityNorm);
this->UpdateTopology(rModelPart, BaseType::GetEchoLevel());
this->ComputeNodalVolume();
this->InitializeNonLinearIterations();
this->CalcNodalStrains();
if (fixedTimeStep == false)
{
continuityConverged = this->SolveContinuityIteration(it, maxNonLinearIterations, pressureNorm);
}
// if((momentumConverged==true || it==maxNonLinearIterations-1) && momentumAlreadyConverged==false){
// std::ofstream myfile;
// myfile.open ("momentumConvergedIteration.txt",std::ios::app);
// myfile << currentTime << "\t" << it << "\n";
// myfile.close();
// momentumAlreadyConverged=true;
// }
// if((continuityConverged==true || it==maxNonLinearIterations-1) && continuityAlreadyConverged==false){
// std::ofstream myfile;
// myfile.open ("continuityConvergedIteration.txt",std::ios::app);
// myfile << currentTime << "\t" << it << "\n";
// myfile.close();
// continuityAlreadyConverged=true;
// }
if (it == maxNonLinearIterations - 1 || ((continuityConverged && momentumConverged) && it > 1))
{
//this->ComputeErrorL2NormCaseImposedG();
//this->ComputeErrorL2NormCasePoiseuille();
this->CalculateAccelerations();
// std::ofstream myfile;
// myfile.open ("maxConvergedIteration.txt",std::ios::app);
// myfile << currentTime << "\t" << it << "\n";
// myfile.close();
}
if ((continuityConverged && momentumConverged) && it > 1)
{
rCurrentProcessInfo.SetValue(BAD_VELOCITY_CONVERGENCE, false);
rCurrentProcessInfo.SetValue(BAD_PRESSURE_CONVERGENCE, false);
converged = true;
std::cout << "nodal V-P strategy converged in " << it + 1 << " iterations." << std::endl;
break;
}
}
if (!continuityConverged && !momentumConverged && BaseType::GetEchoLevel() > 0 && rModelPart.GetCommunicator().MyPID() == 0)
std::cout << "Convergence tolerance not reached." << std::endl;
if (mReformDofSet)
this->Clear();
/* std::cout << "solve_step_time : " << solve_step_time.elapsed() << std::endl; */
return converged;
}
void FinalizeSolutionStep() override
{
/* this->UpdateStressStrain(); */
}
void Initialize() override
{
ModelPart &rModelPart = BaseType::GetModelPart();
const unsigned int dimension = rModelPart.ElementsBegin()->GetGeometry().WorkingSpaceDimension();
unsigned int sizeStrains = 3 * (dimension - 1);
// #pragma omp parallel
// {
ModelPart::NodeIterator NodesBegin;
ModelPart::NodeIterator NodesEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodesBegin, NodesEnd);
for (ModelPart::NodeIterator itNode = NodesBegin; itNode != NodesEnd; ++itNode)
{
NodeWeakPtrVectorType &neighb_nodes = itNode->GetValue(NEIGHBOUR_NODES);
unsigned int neighbourNodes = neighb_nodes.size();
unsigned int sizeSDFNeigh = neighbourNodes * dimension;
if (itNode->SolutionStepsDataHas(NODAL_CAUCHY_STRESS))
{
Vector &rNodalStress = itNode->FastGetSolutionStepValue(NODAL_CAUCHY_STRESS);
if (rNodalStress.size() != sizeStrains)
{
rNodalStress.resize(sizeStrains, false);
}
noalias(rNodalStress) = ZeroVector(sizeStrains);
}
else
{
std::cout << "THIS node does not have NODAL_CAUCHY_STRESS... " << itNode->X() << " " << itNode->Y() << std::endl;
}
if (itNode->SolutionStepsDataHas(NODAL_DEVIATORIC_CAUCHY_STRESS))
{
Vector &rNodalStress = itNode->FastGetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS);
if (rNodalStress.size() != sizeStrains)
{
rNodalStress.resize(sizeStrains, false);
}
noalias(rNodalStress) = ZeroVector(sizeStrains);
}
else
{
std::cout << "THIS node does not have NODAL_DEVIATORIC_CAUCHY_STRESS... " << itNode->X() << " " << itNode->Y() << std::endl;
}
if (itNode->SolutionStepsDataHas(NODAL_VOLUME))
{
itNode->FastGetSolutionStepValue(NODAL_VOLUME) = 0;
}
else
{
std::cout << "THIS node does not have NODAL_VOLUME... " << itNode->X() << " " << itNode->Y() << std::endl;
}
if (itNode->SolutionStepsDataHas(NODAL_MEAN_MESH_SIZE))
{
itNode->FastGetSolutionStepValue(NODAL_MEAN_MESH_SIZE) = 0;
}
else
{
std::cout << "THIS node does not have NODAL_MEAN_MESH_SIZE... " << itNode->X() << " " << itNode->Y() << std::endl;
}
if (itNode->SolutionStepsDataHas(NODAL_FREESURFACE_AREA))
{
itNode->FastGetSolutionStepValue(NODAL_FREESURFACE_AREA) = 0;
}
else
{
std::cout << "THIS node does not have NODAL_FREESURFACE_AREA... " << itNode->X() << " " << itNode->Y() << std::endl;
}
if (itNode->SolutionStepsDataHas(NODAL_SFD_NEIGHBOURS))
{
Vector &rNodalSFDneighbours = itNode->FastGetSolutionStepValue(NODAL_SFD_NEIGHBOURS);
if (rNodalSFDneighbours.size() != sizeSDFNeigh)
{
rNodalSFDneighbours.resize(sizeSDFNeigh, false);
}
noalias(rNodalSFDneighbours) = ZeroVector(sizeSDFNeigh);
}
else
{
std::cout << "THIS node does not have NODAL_SFD_NEIGHBOURS... " << itNode->X() << " " << itNode->Y() << std::endl;
}
if (itNode->SolutionStepsDataHas(NODAL_SPATIAL_DEF_RATE))
{
Vector &rSpatialDefRate = itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE);
if (rSpatialDefRate.size() != sizeStrains)
{
rSpatialDefRate.resize(sizeStrains, false);
}
noalias(rSpatialDefRate) = ZeroVector(sizeStrains);
}
else
{
std::cout << "THIS node does not have NODAL_SPATIAL_DEF_RATE... " << itNode->X() << " " << itNode->Y() << std::endl;
}
if (itNode->SolutionStepsDataHas(NODAL_DEFORMATION_GRAD))
{
Matrix &rFgrad = itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD);
if (rFgrad.size1() != dimension)
{
rFgrad.resize(dimension, dimension, false);
}
noalias(rFgrad) = ZeroMatrix(dimension, dimension);
}
else
{
std::cout << "THIS node does not have NODAL_DEFORMATION_GRAD... " << itNode->X() << " " << itNode->Y() << std::endl;
}
if (itNode->SolutionStepsDataHas(NODAL_DEFORMATION_GRAD_VEL))
{
Matrix &rFgradVel = itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD_VEL);
if (rFgradVel.size1() != dimension)
{
rFgradVel.resize(dimension, dimension, false);
}
noalias(rFgradVel) = ZeroMatrix(dimension, dimension);
}
else
{
std::cout << "THIS node does not have NODAL_DEFORMATION_GRAD_VEL... " << itNode->X() << " " << itNode->Y() << std::endl;
}
this->AssignFluidMaterialToEachNode(itNode);
}
// }
}
void AssignFluidMaterialToEachNode(ModelPart::NodeIterator itNode)
{
ModelPart &rModelPart = BaseType::GetModelPart();
const ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
const double timeInterval = rCurrentProcessInfo[DELTA_TIME];
double deviatoricCoeff = itNode->FastGetSolutionStepValue(DYNAMIC_VISCOSITY);
double volumetricCoeff = timeInterval * itNode->FastGetSolutionStepValue(BULK_MODULUS);
double currFirstLame = volumetricCoeff - 2.0 * deviatoricCoeff / 3.0;
itNode->FastGetSolutionStepValue(VOLUMETRIC_COEFFICIENT) = currFirstLame;
itNode->FastGetSolutionStepValue(DEVIATORIC_COEFFICIENT) = deviatoricCoeff;
}
void ComputeNodalVolume()
{
ModelPart &rModelPart = BaseType::GetModelPart();
ElementsArrayType &pElements = rModelPart.Elements();
const unsigned int dimension = rModelPart.ElementsBegin()->GetGeometry().WorkingSpaceDimension();
#ifdef _OPENMP
int number_of_threads = omp_get_max_threads();
#else
int number_of_threads = 1;
#endif
vector<unsigned int> element_partition;
OpenMPUtils::CreatePartition(number_of_threads, pElements.size(), element_partition);
// #pragma omp parallel
// {
int k = OpenMPUtils::ThisThread();
typename ElementsArrayType::iterator ElemBegin = pElements.begin() + element_partition[k];
typename ElementsArrayType::iterator ElemEnd = pElements.begin() + element_partition[k + 1];
for (typename ElementsArrayType::iterator itElem = ElemBegin; itElem != ElemEnd; itElem++) //MSI: To be parallelized
{
Element::GeometryType &geometry = itElem->GetGeometry();
double elementalVolume = 0;
if (dimension == 2)
{
elementalVolume = geometry.Area() / 3.0;
}
else if (dimension == 3)
{
elementalVolume = geometry.Volume() * 0.25;
}
// index = 0;
unsigned int numNodes = geometry.size();
for (unsigned int i = 0; i < numNodes; i++)
{
double &nodalVolume = geometry(i)->FastGetSolutionStepValue(NODAL_VOLUME);
nodalVolume += elementalVolume;
}
}
// }
}
void InitializeSolutionStep() override
{
this->FillNodalSFDVector();
}
void FillNodalSFDVector()
{
ModelPart &rModelPart = BaseType::GetModelPart();
// #pragma omp parallel
// {
// ModelPart::NodeIterator NodesBegin;
// ModelPart::NodeIterator NodesEnd;
// OpenMPUtils::PartitionedIterators(rModelPart.Nodes(),NodesBegin,NodesEnd);
// for (ModelPart::NodeIterator itNode = NodesBegin; itNode != NodesEnd; ++itNode)
// {
for (ModelPart::NodeIterator itNode = rModelPart.NodesBegin(); itNode != rModelPart.NodesEnd(); itNode++)
{
InitializeNodalVariablesForRemeshedDomain(itNode);
SetNeighboursOrderToNode(itNode); // it assigns neighbours to inner nodes, filling NODAL_SFD_NEIGHBOURS_ORDER
}
}
void SetNeighboursOrderToNode(ModelPart::NodeIterator itNode)
{
NodeWeakPtrVectorType &neighb_nodes = itNode->GetValue(NEIGHBOUR_NODES);
unsigned int neighbourNodes = neighb_nodes.size() + 1; // +1 becausealso the node itself must be considered as nieghbor node
Vector &rNodeOrderedNeighbours = itNode->FastGetSolutionStepValue(NODAL_SFD_NEIGHBOURS_ORDER);
if (rNodeOrderedNeighbours.size() != neighbourNodes)
rNodeOrderedNeighbours.resize(neighbourNodes, false);
noalias(rNodeOrderedNeighbours) = ZeroVector(neighbourNodes);
rNodeOrderedNeighbours[0] = itNode->Id();
if (neighbourNodes > 1)
{
for (unsigned int k = 0; k < neighbourNodes - 1; k++)
{
rNodeOrderedNeighbours[k + 1] = neighb_nodes[k].Id();
}
}
}
void InitializeNodalVariablesForRemeshedDomain(ModelPart::NodeIterator itNode)
{
ModelPart &rModelPart = BaseType::GetModelPart();
const unsigned int dimension = rModelPart.ElementsBegin()->GetGeometry().WorkingSpaceDimension();
unsigned int sizeStrains = 3 * (dimension - 1);
NodeWeakPtrVectorType &neighb_nodes = itNode->GetValue(NEIGHBOUR_NODES);
unsigned int neighbourNodes = neighb_nodes.size() + 1;
unsigned int sizeSDFNeigh = neighbourNodes * dimension;
if (itNode->SolutionStepsDataHas(NODAL_CAUCHY_STRESS))
{
Vector &rNodalStress = itNode->FastGetSolutionStepValue(NODAL_CAUCHY_STRESS);
if (rNodalStress.size() != sizeStrains)
rNodalStress.resize(sizeStrains, false);
noalias(rNodalStress) = ZeroVector(sizeStrains);
}
if (itNode->SolutionStepsDataHas(NODAL_DEVIATORIC_CAUCHY_STRESS))
{
Vector &rNodalDevStress = itNode->FastGetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS);
if (rNodalDevStress.size() != sizeStrains)
rNodalDevStress.resize(sizeStrains, false);
noalias(rNodalDevStress) = ZeroVector(sizeStrains);
}
if (itNode->SolutionStepsDataHas(NODAL_SFD_NEIGHBOURS_ORDER))
{
Vector &rNodalSFDneighboursOrder = itNode->FastGetSolutionStepValue(NODAL_SFD_NEIGHBOURS_ORDER);
if (rNodalSFDneighboursOrder.size() != neighbourNodes)
rNodalSFDneighboursOrder.resize(neighbourNodes, false);
noalias(rNodalSFDneighboursOrder) = ZeroVector(neighbourNodes);
}
if (itNode->SolutionStepsDataHas(NODAL_SFD_NEIGHBOURS))
{
Vector &rNodalSFDneighbours = itNode->FastGetSolutionStepValue(NODAL_SFD_NEIGHBOURS);
if (rNodalSFDneighbours.size() != sizeSDFNeigh)
rNodalSFDneighbours.resize(sizeSDFNeigh, false);
noalias(rNodalSFDneighbours) = ZeroVector(sizeSDFNeigh);
}
if (itNode->SolutionStepsDataHas(NODAL_SPATIAL_DEF_RATE))
{
Vector &rSpatialDefRate = itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE);
if (rSpatialDefRate.size() != sizeStrains)
rSpatialDefRate.resize(sizeStrains, false);
noalias(rSpatialDefRate) = ZeroVector(sizeStrains);
}
if (itNode->SolutionStepsDataHas(NODAL_DEFORMATION_GRAD))
{
Matrix &rFgrad = itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD);
if (rFgrad.size1() != dimension)
rFgrad.resize(dimension, dimension, false);
noalias(rFgrad) = ZeroMatrix(dimension, dimension);
}
if (itNode->SolutionStepsDataHas(NODAL_DEFORMATION_GRAD_VEL))
{
Matrix &rFgradVel = itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD_VEL);
if (rFgradVel.size1() != dimension)
rFgradVel.resize(dimension, dimension, false);
noalias(rFgradVel) = ZeroMatrix(dimension, dimension);
}
if (itNode->SolutionStepsDataHas(NODAL_VOLUME))
{
itNode->FastGetSolutionStepValue(NODAL_VOLUME) = 0;
}
if (itNode->SolutionStepsDataHas(NODAL_MEAN_MESH_SIZE))
{
itNode->FastGetSolutionStepValue(NODAL_MEAN_MESH_SIZE) = 0;
}
if (itNode->SolutionStepsDataHas(NODAL_FREESURFACE_AREA))
{
itNode->FastGetSolutionStepValue(NODAL_FREESURFACE_AREA) = 0;
}
if (itNode->SolutionStepsDataHas(NODAL_VOLUMETRIC_DEF_RATE))
{
itNode->FastGetSolutionStepValue(NODAL_VOLUMETRIC_DEF_RATE) = 0;
}
if (itNode->SolutionStepsDataHas(NODAL_EQUIVALENT_STRAIN_RATE))
{
itNode->FastGetSolutionStepValue(NODAL_EQUIVALENT_STRAIN_RATE) = 0;
}
}
void InitializeNonLinearIterations()
{
ModelPart &rModelPart = BaseType::GetModelPart();
ElementsArrayType &pElements = rModelPart.Elements();
const ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
#ifdef _OPENMP
int number_of_threads = omp_get_max_threads();
#else
int number_of_threads = 1;
#endif
vector<unsigned int> element_partition;
OpenMPUtils::CreatePartition(number_of_threads, pElements.size(), element_partition);
// #pragma omp parallel
// {
int k = OpenMPUtils::ThisThread();
typename ElementsArrayType::iterator ElemBegin = pElements.begin() + element_partition[k];
typename ElementsArrayType::iterator ElemEnd = pElements.begin() + element_partition[k + 1];
for (typename ElementsArrayType::iterator itElem = ElemBegin; itElem != ElemEnd; itElem++) //MSI: To be parallelized
{
itElem->InitializeNonLinearIteration(rCurrentProcessInfo);
}
// }
}
void CalcNodalStrainsAndStresses()
{
ModelPart &rModelPart = BaseType::GetModelPart();
// #pragma omp parallel
// {
ModelPart::NodeIterator NodesBegin;
ModelPart::NodeIterator NodesEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodesBegin, NodesEnd);
for (ModelPart::NodeIterator itNode = NodesBegin; itNode != NodesEnd; ++itNode)
{
double nodalVolume = itNode->FastGetSolutionStepValue(NODAL_VOLUME);
double theta = 0.5;
if (nodalVolume > 0)
{
this->ComputeAndStoreNodalDeformationGradient(itNode, theta);
this->CalcNodalStrainsAndStressesForNode(itNode);
}
else
{ // if nodalVolume==0
InitializeNodalVariablesForRemeshedDomain(itNode);
}
}
// }
}
void CalcNodalStrainsAndStressesForNode(ModelPart::NodeIterator itNode)
{
ModelPart &rModelPart = BaseType::GetModelPart();
const unsigned int dimension = rModelPart.ElementsBegin()->GetGeometry().WorkingSpaceDimension();
double currFirstLame = itNode->FastGetSolutionStepValue(VOLUMETRIC_COEFFICIENT);
double deviatoricCoeff = itNode->FastGetSolutionStepValue(DEVIATORIC_COEFFICIENT);
Matrix Fgrad = itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD);
Matrix FgradVel = itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD_VEL);
double detFgrad = 1.0;
Matrix InvFgrad = ZeroMatrix(dimension, dimension);
Matrix SpatialVelocityGrad = ZeroMatrix(dimension, dimension);
if (dimension == 2)
{
MathUtils<double>::InvertMatrix2(Fgrad, InvFgrad, detFgrad);
}
else if (dimension == 3)
{
MathUtils<double>::InvertMatrix3(Fgrad, InvFgrad, detFgrad);
}
//it computes the spatial velocity gradient tensor --> [L_ij]=dF_ik*invF_kj
SpatialVelocityGrad = prod(FgradVel, InvFgrad);
if (dimension == 2)
{
auto &r_stain_tensor2D = itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE);
r_stain_tensor2D[0] = SpatialVelocityGrad(0, 0);
r_stain_tensor2D[1] = SpatialVelocityGrad(1, 1);
r_stain_tensor2D[2] = 0.5 * (SpatialVelocityGrad(1, 0) + SpatialVelocityGrad(0, 1));
double yieldShear = itNode->FastGetSolutionStepValue(YIELD_SHEAR);
if (yieldShear > 0)
{
itNode->FastGetSolutionStepValue(NODAL_EQUIVALENT_STRAIN_RATE) = sqrt((2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] +
2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] +
4.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2]));
double adaptiveExponent = itNode->FastGetSolutionStepValue(ADAPTIVE_EXPONENT);
double equivalentStrainRate = itNode->FastGetSolutionStepValue(NODAL_EQUIVALENT_STRAIN_RATE);
double exponent = -adaptiveExponent * equivalentStrainRate;
if (equivalentStrainRate != 0)
{
deviatoricCoeff += (yieldShear / equivalentStrainRate) * (1 - exp(exponent));
}
if (equivalentStrainRate < 0.00001 && yieldShear != 0 && adaptiveExponent != 0)
{
// for gamma_dot very small the limit of the Papanastasiou viscosity is mu=m*tau_yield
deviatoricCoeff = adaptiveExponent * yieldShear;
}
}
double DefVol = itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] + itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1];
itNode->GetSolutionStepValue(NODAL_VOLUMETRIC_DEF_RATE) = DefVol;
double nodalSigmaTot_xx = currFirstLame * DefVol + 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0];
double nodalSigmaTot_yy = currFirstLame * DefVol + 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1];
double nodalSigmaTot_xy = 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2];
double nodalSigmaDev_xx = 2.0 * deviatoricCoeff * (itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] - DefVol / 3.0);
double nodalSigmaDev_yy = 2.0 * deviatoricCoeff * (itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] - DefVol / 3.0);
double nodalSigmaDev_xy = 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2];
auto &r_stress_tensor2D = itNode->GetSolutionStepValue(NODAL_CAUCHY_STRESS, 0);
r_stress_tensor2D[0] = nodalSigmaTot_xx;
r_stress_tensor2D[1] = nodalSigmaTot_yy;
r_stress_tensor2D[2] = nodalSigmaTot_xy;
auto &r_dev_stress_tensor2D = itNode->GetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS, 0);
r_dev_stress_tensor2D[0] = nodalSigmaDev_xx;
r_dev_stress_tensor2D[1] = nodalSigmaDev_yy;
r_dev_stress_tensor2D[2] = nodalSigmaDev_xy;
}
else if (dimension == 3)
{
auto &r_stain_tensor3D = itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE);
r_stain_tensor3D[0] = SpatialVelocityGrad(0, 0);
r_stain_tensor3D[1] = SpatialVelocityGrad(1, 1);
r_stain_tensor3D[2] = SpatialVelocityGrad(2, 2);
r_stain_tensor3D[3] = 0.5 * (SpatialVelocityGrad(1, 0) + SpatialVelocityGrad(0, 1));
r_stain_tensor3D[4] = 0.5 * (SpatialVelocityGrad(2, 0) + SpatialVelocityGrad(0, 2));
r_stain_tensor3D[5] = 0.5 * (SpatialVelocityGrad(2, 1) + SpatialVelocityGrad(1, 2));
double yieldShear = itNode->FastGetSolutionStepValue(YIELD_SHEAR);
if (yieldShear > 0)
{
itNode->FastGetSolutionStepValue(NODAL_EQUIVALENT_STRAIN_RATE) = sqrt(2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] +
2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] +
2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2] +
4.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[3] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[3] +
4.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[4] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[4] +
4.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[5] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[5]);
double adaptiveExponent = itNode->FastGetSolutionStepValue(ADAPTIVE_EXPONENT);
double equivalentStrainRate = itNode->FastGetSolutionStepValue(NODAL_EQUIVALENT_STRAIN_RATE);
double exponent = -adaptiveExponent * equivalentStrainRate;
if (equivalentStrainRate != 0)
{
deviatoricCoeff += (yieldShear / equivalentStrainRate) * (1 - exp(exponent));
}
if (equivalentStrainRate < 0.00001 && yieldShear != 0 && adaptiveExponent != 0)
{
// for gamma_dot very small the limit of the Papanastasiou viscosity is mu=m*tau_yield
deviatoricCoeff = adaptiveExponent * yieldShear;
}
}
double DefVol = itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] + itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] + itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2];
itNode->GetSolutionStepValue(NODAL_VOLUMETRIC_DEF_RATE) = DefVol;
double nodalSigmaTot_xx = currFirstLame * DefVol + 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0];
double nodalSigmaTot_yy = currFirstLame * DefVol + 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1];
double nodalSigmaTot_zz = currFirstLame * DefVol + 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2];
double nodalSigmaTot_xy = 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[3];
double nodalSigmaTot_xz = 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[4];
double nodalSigmaTot_yz = 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[5];
double nodalSigmaDev_xx = 2.0 * deviatoricCoeff * (itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] - DefVol / 3.0);
double nodalSigmaDev_yy = 2.0 * deviatoricCoeff * (itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] - DefVol / 3.0);
double nodalSigmaDev_zz = 2.0 * deviatoricCoeff * (itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2] - DefVol / 3.0);
double nodalSigmaDev_xy = 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[3];
double nodalSigmaDev_xz = 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[4];
double nodalSigmaDev_yz = 2.0 * deviatoricCoeff * itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[5];
auto &r_stress_tensor3D = itNode->GetSolutionStepValue(NODAL_CAUCHY_STRESS, 0);
r_stress_tensor3D[0] = nodalSigmaTot_xx;
r_stress_tensor3D[1] = nodalSigmaTot_yy;
r_stress_tensor3D[2] = nodalSigmaTot_zz;
r_stress_tensor3D[3] = nodalSigmaTot_xy;
r_stress_tensor3D[4] = nodalSigmaTot_xz;
r_stress_tensor3D[5] = nodalSigmaTot_yz;
auto &r_dev_stress_tensor3D = itNode->GetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS, 0);
r_dev_stress_tensor3D[0] = nodalSigmaDev_xx;
r_dev_stress_tensor3D[1] = nodalSigmaDev_yy;
r_dev_stress_tensor3D[2] = nodalSigmaDev_zz;
r_dev_stress_tensor3D[3] = nodalSigmaDev_xy;
r_dev_stress_tensor3D[4] = nodalSigmaDev_xz;
r_dev_stress_tensor3D[5] = nodalSigmaDev_yz;
}
}
void CalcNodalStrainsForNode(ModelPart::NodeIterator itNode)
{
/* std::cout << "Calc Nodal Strains " << std::endl; */
ModelPart &rModelPart = BaseType::GetModelPart();
const unsigned int dimension = rModelPart.ElementsBegin()->GetGeometry().WorkingSpaceDimension();
// Matrix Fgrad=itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD);
// Matrix FgradVel=itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD_VEL);
// double detFgrad=1.0;
// Matrix InvFgrad=ZeroMatrix(dimension,dimension);
// Matrix SpatialVelocityGrad=ZeroMatrix(dimension,dimension);
double detFgrad = 1.0;
Matrix nodalFgrad = ZeroMatrix(dimension, dimension);
Matrix FgradVel = ZeroMatrix(dimension, dimension);
Matrix InvFgrad = ZeroMatrix(dimension, dimension);
Matrix SpatialVelocityGrad = ZeroMatrix(dimension, dimension);
nodalFgrad = itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD);
FgradVel = itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD_VEL);
//Inverse
if (dimension == 2)
{
MathUtils<double>::InvertMatrix2(nodalFgrad, InvFgrad, detFgrad);
}
else if (dimension == 3)
{
MathUtils<double>::InvertMatrix3(nodalFgrad, InvFgrad, detFgrad);
}
//it computes the spatial velocity gradient tensor --> [L_ij]=dF_ik*invF_kj
SpatialVelocityGrad = prod(FgradVel, InvFgrad);
if (dimension == 2)
{
itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] = SpatialVelocityGrad(0, 0);
itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] = SpatialVelocityGrad(1, 1);
itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2] = 0.5 * (SpatialVelocityGrad(1, 0) + SpatialVelocityGrad(0, 1));
itNode->FastGetSolutionStepValue(NODAL_EQUIVALENT_STRAIN_RATE) = sqrt((2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] +
2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] +
4.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2]));
double DefX = itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0];
double DefY = itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1];
double DefVol = DefX + DefY;
itNode->GetSolutionStepValue(NODAL_VOLUMETRIC_DEF_RATE) = DefVol;
}
else if (dimension == 3)
{
itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] = SpatialVelocityGrad(0, 0);
itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] = SpatialVelocityGrad(1, 1);
itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2] = SpatialVelocityGrad(2, 2);
itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[3] = 0.5 * (SpatialVelocityGrad(1, 0) + SpatialVelocityGrad(0, 1));
itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[4] = 0.5 * (SpatialVelocityGrad(2, 0) + SpatialVelocityGrad(0, 2));
itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[5] = 0.5 * (SpatialVelocityGrad(2, 1) + SpatialVelocityGrad(1, 2));
itNode->FastGetSolutionStepValue(NODAL_EQUIVALENT_STRAIN_RATE) = sqrt(2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0] +
2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1] +
2.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2] +
4.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[3] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[3] +
4.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[4] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[4] +
4.0 * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[5] * itNode->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[5]);
double DefX = itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[0];
double DefY = itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[1];
double DefZ = itNode->GetSolutionStepValue(NODAL_SPATIAL_DEF_RATE)[2];
double DefVol = DefX + DefY + DefZ;
itNode->GetSolutionStepValue(NODAL_VOLUMETRIC_DEF_RATE) = DefVol;
}
}
void CalcNodalStrains()
{
/* std::cout << "Calc Nodal Strains " << std::endl; */
ModelPart &rModelPart = BaseType::GetModelPart();
// #pragma omp parallel
// {
ModelPart::NodeIterator NodesBegin;
ModelPart::NodeIterator NodesEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodesBegin, NodesEnd);
for (ModelPart::NodeIterator itNode = NodesBegin; itNode != NodesEnd; ++itNode)
{
double nodalVolume = itNode->FastGetSolutionStepValue(NODAL_VOLUME);
double theta = 1.0;
if (nodalVolume > 0)
{
this->ComputeAndStoreNodalDeformationGradient(itNode, theta);
this->CalcNodalStrainsForNode(itNode);
}
else
{ // if nodalVolume==0
InitializeNodalVariablesForRemeshedDomain(itNode);
}
}
// }
/* std::cout << "Calc Nodal Strains And Stresses DONE " << std::endl; */
}
void ComputeAndStoreNodalDeformationGradient(ModelPart::NodeIterator itNode, double theta)
{
KRATOS_TRY;
ModelPart &rModelPart = BaseType::GetModelPart();
const unsigned int dimension = rModelPart.ElementsBegin()->GetGeometry().WorkingSpaceDimension();
Vector nodalSFDneighboursId = itNode->FastGetSolutionStepValue(NODAL_SFD_NEIGHBOURS_ORDER);
Vector rNodalSFDneigh = itNode->FastGetSolutionStepValue(NODAL_SFD_NEIGHBOURS);
/* unsigned int idThisNode=nodalSFDneighboursId[0]; */
const unsigned int neighSize = nodalSFDneighboursId.size();
Matrix Fgrad = ZeroMatrix(dimension, dimension);
Matrix FgradVel = ZeroMatrix(dimension, dimension);
NodeWeakPtrVectorType &neighb_nodes = itNode->GetValue(NEIGHBOUR_NODES);
if (dimension == 2)
{
double dNdXi = rNodalSFDneigh[0];
double dNdYi = rNodalSFDneigh[1];
Fgrad(0, 0) += dNdXi * itNode->X();
Fgrad(0, 1) += dNdYi * itNode->X();
Fgrad(1, 0) += dNdXi * itNode->Y();
Fgrad(1, 1) += dNdYi * itNode->Y();
double VelocityX = itNode->FastGetSolutionStepValue(VELOCITY_X, 0) * theta + itNode->FastGetSolutionStepValue(VELOCITY_X, 1) * (1 - theta);
double VelocityY = itNode->FastGetSolutionStepValue(VELOCITY_Y, 0) * theta + itNode->FastGetSolutionStepValue(VELOCITY_Y, 1) * (1 - theta);
FgradVel(0, 0) += dNdXi * VelocityX;
FgradVel(0, 1) += dNdYi * VelocityX;
FgradVel(1, 0) += dNdXi * VelocityY;
FgradVel(1, 1) += dNdYi * VelocityY;
unsigned int firstRow = 2;
if (neighSize > 0)
{
for (unsigned int i = 0; i < neighSize - 1; i++) //neigh_nodes has one cell less than nodalSFDneighboursId becuase this has also the considered node ID at the beginning
{
dNdXi = rNodalSFDneigh[firstRow];
dNdYi = rNodalSFDneigh[firstRow + 1];
unsigned int neigh_nodes_id = neighb_nodes[i].Id();
unsigned int other_neigh_nodes_id = nodalSFDneighboursId[i + 1];
if (neigh_nodes_id != other_neigh_nodes_id)
{
std::cout << "node (x,y)=(" << itNode->X() << "," << itNode->Y() << ") with neigh_nodes_id " << neigh_nodes_id << " different than other_neigh_nodes_id " << other_neigh_nodes_id << std::endl;
}
Fgrad(0, 0) += dNdXi * neighb_nodes[i].X();
Fgrad(0, 1) += dNdYi * neighb_nodes[i].X();
Fgrad(1, 0) += dNdXi * neighb_nodes[i].Y();
Fgrad(1, 1) += dNdYi * neighb_nodes[i].Y();
VelocityX = neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_X, 0) * theta + neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_X, 1) * (1 - theta);
VelocityY = neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_Y, 0) * theta + neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_Y, 1) * (1 - theta);
FgradVel(0, 0) += dNdXi * VelocityX;
FgradVel(0, 1) += dNdYi * VelocityX;
FgradVel(1, 0) += dNdXi * VelocityY;
FgradVel(1, 1) += dNdYi * VelocityY;
firstRow += 2;
}
}
}
else
{
double dNdXi = rNodalSFDneigh[0];
double dNdYi = rNodalSFDneigh[1];
double dNdZi = rNodalSFDneigh[2];
double VelocityX = itNode->FastGetSolutionStepValue(VELOCITY_X, 0) * theta + itNode->FastGetSolutionStepValue(VELOCITY_X, 1) * (1 - theta);
double VelocityY = itNode->FastGetSolutionStepValue(VELOCITY_Y, 0) * theta + itNode->FastGetSolutionStepValue(VELOCITY_Y, 1) * (1 - theta);
double VelocityZ = itNode->FastGetSolutionStepValue(VELOCITY_Z, 0) * theta + itNode->FastGetSolutionStepValue(VELOCITY_Z, 1) * (1 - theta);
Fgrad(0, 0) += dNdXi * itNode->X();
Fgrad(0, 1) += dNdYi * itNode->X();
Fgrad(0, 2) += dNdZi * itNode->X();
Fgrad(1, 0) += dNdXi * itNode->Y();
Fgrad(1, 1) += dNdYi * itNode->Y();
Fgrad(1, 2) += dNdZi * itNode->Y();
Fgrad(2, 0) += dNdXi * itNode->Z();
Fgrad(2, 1) += dNdYi * itNode->Z();
Fgrad(2, 2) += dNdZi * itNode->Z();
FgradVel(0, 0) += dNdXi * VelocityX;
FgradVel(0, 1) += dNdYi * VelocityX;
FgradVel(0, 2) += dNdZi * VelocityX;
FgradVel(1, 0) += dNdXi * VelocityY;
FgradVel(1, 1) += dNdYi * VelocityY;
FgradVel(1, 2) += dNdZi * VelocityY;
FgradVel(2, 0) += dNdXi * VelocityZ;
FgradVel(2, 1) += dNdYi * VelocityZ;
FgradVel(2, 2) += dNdZi * VelocityZ;
unsigned int firstRow = 3;
if (neighSize > 0)
{
for (unsigned int i = 0; i < neighSize - 1; i++)
{
dNdXi = rNodalSFDneigh[firstRow];
dNdYi = rNodalSFDneigh[firstRow + 1];
dNdZi = rNodalSFDneigh[firstRow + 2];
VelocityX = neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_X, 0) * theta + neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_X, 1) * (1 - theta);
VelocityY = neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_Y, 0) * theta + neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_Y, 1) * (1 - theta);
VelocityZ = neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_Z, 0) * theta + neighb_nodes[i].FastGetSolutionStepValue(VELOCITY_Z, 1) * (1 - theta);
Fgrad(0, 0) += dNdXi * neighb_nodes[i].X();
Fgrad(0, 1) += dNdYi * neighb_nodes[i].X();
Fgrad(0, 2) += dNdZi * neighb_nodes[i].X();
Fgrad(1, 0) += dNdXi * neighb_nodes[i].Y();
Fgrad(1, 1) += dNdYi * neighb_nodes[i].Y();
Fgrad(1, 2) += dNdZi * neighb_nodes[i].Y();
Fgrad(2, 0) += dNdXi * neighb_nodes[i].Z();
Fgrad(2, 1) += dNdYi * neighb_nodes[i].Z();
Fgrad(2, 2) += dNdZi * neighb_nodes[i].Z();
FgradVel(0, 0) += dNdXi * VelocityX;
FgradVel(0, 1) += dNdYi * VelocityX;
FgradVel(0, 2) += dNdZi * VelocityX;
FgradVel(1, 0) += dNdXi * VelocityY;
FgradVel(1, 1) += dNdYi * VelocityY;
FgradVel(1, 2) += dNdZi * VelocityY;
FgradVel(2, 0) += dNdXi * VelocityZ;
FgradVel(2, 1) += dNdYi * VelocityZ;
FgradVel(2, 2) += dNdZi * VelocityZ;
firstRow += 3;
}
}
}
itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD) = Fgrad;
itNode->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD_VEL) = FgradVel;
KRATOS_CATCH("");
}
void UpdateTopology(ModelPart &rModelPart, unsigned int echoLevel)
{
KRATOS_TRY;
/* this->CalculateDisplacements(); */
this->CalculateDisplacementsAndResetNodalVariables();
BaseType::MoveMesh();
BoundaryNormalsCalculationUtilities BoundaryComputation;
BoundaryComputation.CalculateWeightedBoundaryNormals(rModelPart, echoLevel);
KRATOS_CATCH("");
}
void CalculatePressureVelocity()
{
ModelPart &rModelPart = BaseType::GetModelPart();
const ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
const double timeInterval = rCurrentProcessInfo[DELTA_TIME];
unsigned int timeStep = rCurrentProcessInfo[STEP];
for (ModelPart::NodeIterator i = rModelPart.NodesBegin();
i != rModelPart.NodesEnd(); ++i)
{
if (timeStep == 1)
{
(i)->FastGetSolutionStepValue(PRESSURE_VELOCITY, 0) = 0;
(i)->FastGetSolutionStepValue(PRESSURE_VELOCITY, 1) = 0;
}
else
{
double &CurrentPressure = (i)->FastGetSolutionStepValue(PRESSURE, 0);
double &PreviousPressure = (i)->FastGetSolutionStepValue(PRESSURE, 1);
double &CurrentPressureVelocity = (i)->FastGetSolutionStepValue(PRESSURE_VELOCITY, 0);
CurrentPressureVelocity = (CurrentPressure - PreviousPressure) / timeInterval;
}
}
}
void CalculatePressureAcceleration()
{
ModelPart &rModelPart = BaseType::GetModelPart();
const ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
const double timeInterval = rCurrentProcessInfo[DELTA_TIME];
unsigned int timeStep = rCurrentProcessInfo[STEP];
for (ModelPart::NodeIterator i = rModelPart.NodesBegin(); i != rModelPart.NodesEnd(); ++i)
{
if (timeStep == 1)
{
(i)->FastGetSolutionStepValue(PRESSURE_ACCELERATION, 0) = 0;
(i)->FastGetSolutionStepValue(PRESSURE_ACCELERATION, 1) = 0;
}
else
{
double &CurrentPressureVelocity = (i)->FastGetSolutionStepValue(PRESSURE_VELOCITY, 0);
double &PreviousPressureVelocity = (i)->FastGetSolutionStepValue(PRESSURE_VELOCITY, 1);
double &CurrentPressureAcceleration = (i)->FastGetSolutionStepValue(PRESSURE_ACCELERATION, 0);
CurrentPressureAcceleration = (CurrentPressureVelocity - PreviousPressureVelocity) / timeInterval;
}
}
}
void CalculateAccelerations()
{
ModelPart &rModelPart = BaseType::GetModelPart();
ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
for (ModelPart::NodeIterator i = rModelPart.NodesBegin(); i != rModelPart.NodesEnd(); ++i)
{
array_1d<double, 3> &CurrentVelocity = (i)->FastGetSolutionStepValue(VELOCITY, 0);
array_1d<double, 3> &PreviousVelocity = (i)->FastGetSolutionStepValue(VELOCITY, 1);
array_1d<double, 3> &CurrentAcceleration = (i)->FastGetSolutionStepValue(ACCELERATION, 0);
array_1d<double, 3> &PreviousAcceleration = (i)->FastGetSolutionStepValue(ACCELERATION, 1);
if ((i)->IsNot(ISOLATED) && ((i)->IsNot(RIGID) || (i)->Is(SOLID)))
{
UpdateAccelerations(CurrentAcceleration, CurrentVelocity, PreviousAcceleration, PreviousVelocity);
}
else if ((i)->Is(RIGID))
{
array_1d<double, 3> Zeros(3, 0.0);
(i)->FastGetSolutionStepValue(ACCELERATION, 0) = Zeros;
(i)->FastGetSolutionStepValue(ACCELERATION, 1) = Zeros;
}
else
{
(i)->FastGetSolutionStepValue(NODAL_VOLUME) = 0.0;
(i)->FastGetSolutionStepValue(NODAL_VOLUMETRIC_DEF_RATE) = 0.0;
(i)->FastGetSolutionStepValue(NODAL_EQUIVALENT_STRAIN_RATE) = 0;
(i)->FastGetSolutionStepValue(NODAL_MEAN_MESH_SIZE) = 0.0;
(i)->FastGetSolutionStepValue(NODAL_FREESURFACE_AREA) = 0.0;
(i)->FastGetSolutionStepValue(PRESSURE, 0) = 0.0;
(i)->FastGetSolutionStepValue(PRESSURE, 1) = 0.0;
(i)->FastGetSolutionStepValue(PRESSURE_VELOCITY, 0) = 0.0;
(i)->FastGetSolutionStepValue(PRESSURE_VELOCITY, 1) = 0.0;
(i)->FastGetSolutionStepValue(PRESSURE_ACCELERATION, 0) = 0.0;
(i)->FastGetSolutionStepValue(PRESSURE_ACCELERATION, 1) = 0.0;
if ((i)->SolutionStepsDataHas(VOLUME_ACCELERATION))
{
array_1d<double, 3> &VolumeAcceleration = (i)->FastGetSolutionStepValue(VOLUME_ACCELERATION);
(i)->FastGetSolutionStepValue(ACCELERATION, 0) = VolumeAcceleration;
(i)->FastGetSolutionStepValue(VELOCITY, 0) += VolumeAcceleration * rCurrentProcessInfo[DELTA_TIME];
}
}
}
}
inline void UpdateAccelerations(array_1d<double, 3> &CurrentAcceleration,
const array_1d<double, 3> &CurrentVelocity,
array_1d<double, 3> &PreviousAcceleration,
const array_1d<double, 3> &PreviousVelocity)
{
ModelPart &rModelPart = BaseType::GetModelPart();
ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
double Dt = rCurrentProcessInfo[DELTA_TIME];
noalias(CurrentAcceleration) = 2.0 * (CurrentVelocity - PreviousVelocity) / Dt - PreviousAcceleration;
}
void CalculateDisplacements()
{
ModelPart &rModelPart = BaseType::GetModelPart();
const ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
const double TimeStep = rCurrentProcessInfo[DELTA_TIME];
for (ModelPart::NodeIterator i = rModelPart.NodesBegin(); i != rModelPart.NodesEnd(); ++i)
{
array_1d<double, 3> &CurrentVelocity = (i)->FastGetSolutionStepValue(VELOCITY, 0);
array_1d<double, 3> &PreviousVelocity = (i)->FastGetSolutionStepValue(VELOCITY, 1);
array_1d<double, 3> &CurrentDisplacement = (i)->FastGetSolutionStepValue(DISPLACEMENT, 0);
array_1d<double, 3> &PreviousDisplacement = (i)->FastGetSolutionStepValue(DISPLACEMENT, 1);
/* if( i->IsFixed(DISPLACEMENT_X) == false ) */
CurrentDisplacement[0] = 0.5 * TimeStep * (CurrentVelocity[0] + PreviousVelocity[0]) + PreviousDisplacement[0];
/* if( i->IsFixed(DISPLACEMENT_Y) == false ) */
CurrentDisplacement[1] = 0.5 * TimeStep * (CurrentVelocity[1] + PreviousVelocity[1]) + PreviousDisplacement[1];
/* if( i->IsFixed(DISPLACEMENT_Z) == false ) */
CurrentDisplacement[2] = 0.5 * TimeStep * (CurrentVelocity[2] + PreviousVelocity[2]) + PreviousDisplacement[2];
}
}
void CalculateDisplacementsAndResetNodalVariables()
{
ModelPart &rModelPart = BaseType::GetModelPart();
const ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
const double TimeStep = rCurrentProcessInfo[DELTA_TIME];
const unsigned int dimension = rModelPart.ElementsBegin()->GetGeometry().WorkingSpaceDimension();
unsigned int sizeStrains = 3 * (dimension - 1);
// #pragma omp parallel
// {
ModelPart::NodeIterator NodesBegin;
ModelPart::NodeIterator NodesEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodesBegin, NodesEnd);
for (ModelPart::NodeIterator i = NodesBegin; i != NodesEnd; ++i)
{
array_1d<double, 3> &CurrentVelocity = (i)->FastGetSolutionStepValue(VELOCITY, 0);
array_1d<double, 3> &PreviousVelocity = (i)->FastGetSolutionStepValue(VELOCITY, 1);
array_1d<double, 3> &CurrentDisplacement = (i)->FastGetSolutionStepValue(DISPLACEMENT, 0);
array_1d<double, 3> &PreviousDisplacement = (i)->FastGetSolutionStepValue(DISPLACEMENT, 1);
CurrentDisplacement[0] = 0.5 * TimeStep * (CurrentVelocity[0] + PreviousVelocity[0]) + PreviousDisplacement[0];
CurrentDisplacement[1] = 0.5 * TimeStep * (CurrentVelocity[1] + PreviousVelocity[1]) + PreviousDisplacement[1];
if (dimension == 3)
{
CurrentDisplacement[2] = 0.5 * TimeStep * (CurrentVelocity[2] + PreviousVelocity[2]) + PreviousDisplacement[2];
}
///// reset Nodal variables //////
Vector &rNodalSFDneighbours = i->FastGetSolutionStepValue(NODAL_SFD_NEIGHBOURS);
unsigned int sizeSDFNeigh = rNodalSFDneighbours.size();
// unsigned int neighbourNodes=i->GetValue(NEIGHBOUR_NODES).size()+1;
// unsigned int sizeSDFNeigh=neighbourNodes*dimension;
i->FastGetSolutionStepValue(NODAL_VOLUME) = 0;
i->FastGetSolutionStepValue(NODAL_MEAN_MESH_SIZE) = 0;
i->FastGetSolutionStepValue(NODAL_FREESURFACE_AREA) = 0;
i->FastGetSolutionStepValue(NODAL_VOLUMETRIC_DEF_RATE) = 0;
i->FastGetSolutionStepValue(NODAL_EQUIVALENT_STRAIN_RATE) = 0;
noalias(rNodalSFDneighbours) = ZeroVector(sizeSDFNeigh);
Vector &rSpatialDefRate = i->FastGetSolutionStepValue(NODAL_SPATIAL_DEF_RATE);
noalias(rSpatialDefRate) = ZeroVector(sizeStrains);
Matrix &rFgrad = i->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD);
noalias(rFgrad) = ZeroMatrix(dimension, dimension);
Matrix &rFgradVel = i->FastGetSolutionStepValue(NODAL_DEFORMATION_GRAD_VEL);
noalias(rFgradVel) = ZeroMatrix(dimension, dimension);
}
// }
}
void UpdatePressureAccelerations()
{
this->CalculateAccelerations();
this->CalculatePressureVelocity();
this->CalculatePressureAcceleration();
}
void Clear() override
{
mpMomentumStrategy->Clear();
mpPressureStrategy->Clear();
}
///@}
///@name Access
///@{
void SetEchoLevel(int Level) override
{
BaseType::SetEchoLevel(Level);
int StrategyLevel = Level > 0 ? Level - 1 : 0;
mpMomentumStrategy->SetEchoLevel(StrategyLevel);
mpPressureStrategy->SetEchoLevel(StrategyLevel);
}
///@}
///@name Inquiry
///@{
///@}
///@name Input and output
///@{
/// Turn back information as a string.
std::string Info() const override
{
std::stringstream buffer;
buffer << "NodalTwoStepVPStrategy";
return buffer.str();
}
/// Print information about this object.
void PrintInfo(std::ostream &rOStream) const override
{
rOStream << "NodalTwoStepVPStrategy";
}
/// Print object's data.
void PrintData(std::ostream &rOStream) const override
{
}
///@}
///@name Friends
///@{
///@}
protected:
///@name Protected Life Cycle
///@{
///@}
///@name Protected static Member Variables
///@{
///@}
///@name Protected member Variables
///@{
///@}
///@name Protected Operators
///@{
///@}
///@name Protected Operations
///@{
/// Calculate the coefficients for time iteration.
/**
* @param rCurrentProcessInfo ProcessInfo instance from the fluid ModelPart. Must contain DELTA_TIME variables.
*/
bool SolveMomentumIteration(unsigned int it, unsigned int maxIt, bool &fixedTimeStep, double &velocityNorm)
{
ModelPart &rModelPart = BaseType::GetModelPart();
int Rank = rModelPart.GetCommunicator().MyPID();
bool ConvergedMomentum = false;
double NormDv = 0;
fixedTimeStep = false;
// build momentum system and solve for fractional step velocity increment
rModelPart.GetProcessInfo().SetValue(FRACTIONAL_STEP, 1);
if (it == 0)
{
mpMomentumStrategy->InitializeSolutionStep();
/* this->SetNeighboursVelocityId(); */
}
NormDv = mpMomentumStrategy->Solve();
if (BaseType::GetEchoLevel() > 1 && Rank == 0)
std::cout << "-------------- s o l v e d ! ------------------" << std::endl;
if (it == 0)
{
velocityNorm = this->ComputeVelocityNorm();
}
double DvErrorNorm = NormDv / velocityNorm;
// double DvErrorNorm = 0;
// ConvergedMomentum = this->CheckVelocityConvergence(NormDv, DvErrorNorm);
unsigned int iterationForCheck = 3;
KRATOS_INFO("TwoStepVPStrategy") << "iteration(" << it << ") Velocity error: " << DvErrorNorm << std::endl;
// Check convergence
if (it == maxIt - 1)
{
KRATOS_INFO("Iteration") << it << " Final Velocity error: " << DvErrorNorm << std::endl;
fixedTimeStep = this->FixTimeStepMomentum(DvErrorNorm);
}
else if (it > iterationForCheck)
{
fixedTimeStep = this->CheckMomentumConvergence(DvErrorNorm);
}
// ProcessInfo& rCurrentProcessInfo = rModelPart.GetProcessInfo();
// double currentTime = rCurrentProcessInfo[TIME];
// double tolerance=0.0000000001;
// if(currentTime>(0.25-tolerance) && currentTime<(0.25+tolerance)){
// std::ofstream myfile;
// myfile.open ("velocityConvergenceAt025s.txt",std::ios::app);
// myfile << it << "\t" << DvErrorNorm << "\n";
// myfile.close();
// }
// else if(currentTime>(0.5-tolerance) && currentTime<(0.5+tolerance)){
// std::ofstream myfile;
// myfile.open ("velocityConvergenceAt05s.txt",std::ios::app);
// myfile << it << "\t" << DvErrorNorm << "\n";
// myfile.close();
// }
// else if(currentTime>(0.75-tolerance) && currentTime<(0.75+tolerance)){
// std::ofstream myfile;
// myfile.open ("velocityConvergenceAt075s.txt",std::ios::app);
// myfile << it << "\t" << DvErrorNorm << "\n";
// myfile.close();
// }
// else if(currentTime>(1.0-tolerance) && currentTime<(1.0+tolerance)){
// std::ofstream myfile;
// myfile.open ("velocityConvergenceAt100s.txt",std::ios::app);
// myfile << it << "\t" << DvErrorNorm << "\n";
// myfile.close();
// }
if (!ConvergedMomentum && BaseType::GetEchoLevel() > 0 && Rank == 0)
std::cout << "Momentum equations did not reach the convergence tolerance." << std::endl;
return ConvergedMomentum;
}
bool SolveContinuityIteration(unsigned int it, unsigned int maxIt, double &NormP)
{
ModelPart &rModelPart = BaseType::GetModelPart();
int Rank = rModelPart.GetCommunicator().MyPID();
bool ConvergedContinuity = false;
double NormDp = 0;
// 2. Pressure solution
rModelPart.GetProcessInfo().SetValue(FRACTIONAL_STEP, 5);
if (it == 0)
{
mpPressureStrategy->InitializeSolutionStep();
}
NormDp = mpPressureStrategy->Solve();
if (BaseType::GetEchoLevel() > 0 && Rank == 0)
std::cout << "The norm of pressure is: " << NormDp << std::endl;
if (it == 0)
{
NormP = this->ComputePressureNorm();
}
double DpErrorNorm = NormDp / (NormP);
// double DpErrorNorm = 0;
// ConvergedContinuity = this->CheckPressureConvergence(NormDp, DpErrorNorm);
// Check convergence
if (it == maxIt - 1)
{
KRATOS_INFO("Iteration") << it << " Final Pressure error: " << DpErrorNorm << std::endl;
ConvergedContinuity = this->FixTimeStepContinuity(DpErrorNorm);
}
else
{
KRATOS_INFO("Iteration") << it << " Pressure error: " << DpErrorNorm << std::endl;
}
// ProcessInfo& rCurrentProcessInfo = rModelPart.GetProcessInfo();
// double currentTime = rCurrentProcessInfo[TIME];
// double tolerance=0.0000000001;
// if(currentTime>(0.25-tolerance) && currentTime<(0.25+tolerance)){
// std::ofstream myfile;
// myfile.open ("pressureConvergenceAt025s.txt",std::ios::app);
// myfile << it << "\t" << DpErrorNorm << "\n";
// myfile.close();
// }
// else if(currentTime>(0.5-tolerance) && currentTime<(0.5+tolerance)){
// std::ofstream myfile;
// myfile.open ("pressureConvergenceAt05s.txt",std::ios::app);
// myfile << it << "\t" << DpErrorNorm << "\n";
// myfile.close();
// }
// else if(currentTime>(0.75-tolerance) && currentTime<(0.75+tolerance)){
// std::ofstream myfile;
// myfile.open ("pressureConvergenceAt075s.txt",std::ios::app);
// myfile << it << "\t" << DpErrorNorm << "\n";
// myfile.close();
// }
// else if(currentTime>(1.0-tolerance) && currentTime<(1.0+tolerance)){
// std::ofstream myfile;
// myfile.open ("pressureConvergenceAt100s.txt",std::ios::app);
// myfile << it << "\t" << DpErrorNorm << "\n";
// myfile.close();
// }
if (!ConvergedContinuity && BaseType::GetEchoLevel() > 0 && Rank == 0)
std::cout << "Continuity equation did not reach the convergence tolerance." << std::endl;
return ConvergedContinuity;
}
bool CheckVelocityConvergence(const double NormDv, double &errorNormDv)
{
ModelPart &rModelPart = BaseType::GetModelPart();
double NormV = 0.00;
errorNormDv = 0;
#pragma omp parallel reduction(+ \
: NormV)
{
ModelPart::NodeIterator NodeBegin;
ModelPart::NodeIterator NodeEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodeBegin, NodeEnd);
for (ModelPart::NodeIterator itNode = NodeBegin; itNode != NodeEnd; ++itNode)
{
const array_1d<double, 3> &Vel = itNode->FastGetSolutionStepValue(VELOCITY);
double NormVelNode = 0;
for (unsigned int d = 0; d < 3; ++d)
{
NormVelNode += Vel[d] * Vel[d];
NormV += Vel[d] * Vel[d];
}
}
}
BaseType::GetModelPart().GetCommunicator().GetDataCommunicator().SumAll(NormV);
NormV = sqrt(NormV);
if (NormV == 0.0)
NormV = 1.00;
errorNormDv = NormDv / NormV;
if (BaseType::GetEchoLevel() > 0 && rModelPart.GetCommunicator().MyPID() == 0)
{
std::cout << "The norm of velocity increment is: " << NormDv << std::endl;
std::cout << "The norm of velocity is: " << NormV << std::endl;
std::cout << "Velocity error: " << errorNormDv << "mVelocityTolerance: " << mVelocityTolerance << std::endl;
}
/* else{ */
/* std::cout<<"Velocity error: "<< errorNormDv <<" velTol: " << mVelocityTolerance<< std::endl; */
/* } */
if (errorNormDv < mVelocityTolerance)
{
return true;
}
else
{
return false;
}
}
double ComputeVelocityNorm()
{
ModelPart &rModelPart = BaseType::GetModelPart();
double NormV = 0.00;
#pragma omp parallel reduction(+ \
: NormV)
{
ModelPart::NodeIterator NodeBegin;
ModelPart::NodeIterator NodeEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodeBegin, NodeEnd);
for (ModelPart::NodeIterator itNode = NodeBegin; itNode != NodeEnd; ++itNode)
{
const array_1d<double, 3> &Vel = itNode->FastGetSolutionStepValue(VELOCITY);
double NormVelNode = 0;
for (unsigned int d = 0; d < 3; ++d)
{
NormVelNode += Vel[d] * Vel[d];
NormV += Vel[d] * Vel[d];
}
}
}
BaseType::GetModelPart().GetCommunicator().GetDataCommunicator().SumAll(NormV);
NormV = sqrt(NormV);
if (NormV == 0.0)
NormV = 1.00;
return NormV;
}
double ComputePressureNorm()
{
ModelPart &rModelPart = BaseType::GetModelPart();
double NormP = 0.00;
#pragma omp parallel reduction(+ \
: NormP)
{
ModelPart::NodeIterator NodeBegin;
ModelPart::NodeIterator NodeEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodeBegin, NodeEnd);
for (ModelPart::NodeIterator itNode = NodeBegin; itNode != NodeEnd; ++itNode)
{
const double Pr = itNode->FastGetSolutionStepValue(PRESSURE);
NormP += Pr * Pr;
}
}
BaseType::GetModelPart().GetCommunicator().GetDataCommunicator().SumAll(NormP);
NormP = sqrt(NormP);
if (NormP == 0.0)
NormP = 1.00;
return NormP;
}
void ComputeErrorL2NormCaseImposedG()
{
ModelPart &rModelPart = BaseType::GetModelPart();
const ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
const double currentTime = rCurrentProcessInfo[TIME];
double sumErrorL2Velocity = 0;
double sumErrorL2VelocityX = 0;
double sumErrorL2VelocityY = 0;
double sumErrorL2Pressure = 0;
double sumErrorL2TauXX = 0;
double sumErrorL2TauYY = 0;
double sumErrorL2TauXY = 0;
#pragma omp parallel
{
ModelPart::NodeIterator NodeBegin;
ModelPart::NodeIterator NodeEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodeBegin, NodeEnd);
for (ModelPart::NodeIterator itNode = NodeBegin; itNode != NodeEnd; ++itNode)
{
const double posX = itNode->X();
const double posY = itNode->Y();
const double nodalArea = itNode->FastGetSolutionStepValue(NODAL_VOLUME);
const double velX = itNode->FastGetSolutionStepValue(VELOCITY_X);
const double velY = itNode->FastGetSolutionStepValue(VELOCITY_Y);
const double pressure = itNode->FastGetSolutionStepValue(PRESSURE);
const double tauXX = itNode->FastGetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS)[0];
const double tauYY = itNode->FastGetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS)[1];
const double tauXY = itNode->FastGetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS)[2];
double expectedVelocityX = pow(posX, 2) * (1.0 - posX) * (1.0 - posX) * (2.0 * posY - 6.0 * pow(posY, 2) + 4.0 * pow(posY, 3));
double expectedVelocityY = -pow(posY, 2) * (1.0 - posY) * (1.0 - posY) * (2.0 * posX - 6.0 * pow(posX, 2) + 4.0 * pow(posX, 3));
double expectedPressure = -posX * (1.0 - posX);
double expectedTauXX = 2.0 * (-4.0 * (1 - posX) * posX * (-1.0 + 2.0 * posX) * posY * (1.0 - 3.0 * posY + 2.0 * pow(posY, 2)));
double expectedTauYY = 2.0 * (4.0 * posX * (1.0 - 3.0 * posX + 2.0 * pow(posX, 2)) * (1 - posY) * posY * (-1.0 + 2.0 * posY));
double expectedTauXY = (2.0 * (1.0 - 6.0 * posY + 6.0 * pow(posY, 2)) * (1 - posX) * (1 - posX) * pow(posX, 2) - 2.0 * (1.0 - 6.0 * posX + 6.0 * pow(posX, 2)) * (1 - posY) * (1 - posY) * pow(posY, 2));
double nodalErrorVelocityX = velX - expectedVelocityX;
double nodalErrorVelocityY = velY - expectedVelocityY;
double nodalErrorPressure = pressure - expectedPressure;
double nodalErrorTauXX = tauXX - expectedTauXX;
double nodalErrorTauYY = tauYY - expectedTauYY;
double nodalErrorTauXY = tauXY - expectedTauXY;
sumErrorL2Velocity += (pow(nodalErrorVelocityX, 2) + pow(nodalErrorVelocityY, 2)) * nodalArea;
sumErrorL2VelocityX += pow(nodalErrorVelocityX, 2) * nodalArea;
sumErrorL2VelocityY += pow(nodalErrorVelocityY, 2) * nodalArea;
sumErrorL2Pressure += pow(nodalErrorPressure, 2) * nodalArea;
sumErrorL2TauXX += pow(nodalErrorTauXX, 2) * nodalArea;
sumErrorL2TauYY += pow(nodalErrorTauYY, 2) * nodalArea;
sumErrorL2TauXY += pow(nodalErrorTauXY, 2) * nodalArea;
// itNode->FastGetSolutionStepValue(NODAL_ERROR_XX)=nodalErrorTauXX;
}
}
double errorL2Velocity = sqrt(sumErrorL2Velocity);
double errorL2VelocityX = sqrt(sumErrorL2VelocityX);
double errorL2VelocityY = sqrt(sumErrorL2VelocityY);
double errorL2Pressure = sqrt(sumErrorL2Pressure);
double errorL2TauXX = sqrt(sumErrorL2TauXX);
double errorL2TauYY = sqrt(sumErrorL2TauYY);
double errorL2TauXY = sqrt(sumErrorL2TauXY);
std::ofstream myfileVelocity;
myfileVelocity.open("errorL2VelocityFile.txt", std::ios::app);
myfileVelocity << currentTime << "\t" << errorL2Velocity << "\n";
myfileVelocity.close();
std::ofstream myfileVelocityX;
myfileVelocityX.open("errorL2VelocityXFile.txt", std::ios::app);
myfileVelocityX << currentTime << "\t" << errorL2VelocityX << "\n";
myfileVelocityX.close();
std::ofstream myfileVelocityY;
myfileVelocityY.open("errorL2VelocityYFile.txt", std::ios::app);
myfileVelocityY << currentTime << "\t" << errorL2VelocityY << "\n";
myfileVelocityY.close();
std::ofstream myfilePressure;
myfilePressure.open("errorL2PressureFile.txt", std::ios::app);
myfilePressure << currentTime << "\t" << errorL2Pressure << "\n";
myfilePressure.close();
std::ofstream myfileTauXX;
myfileTauXX.open("errorL2TauXXFile.txt", std::ios::app);
myfileTauXX << currentTime << "\t" << errorL2TauXX << "\n";
myfileTauXX.close();
std::ofstream myfileTauYY;
myfileTauYY.open("errorL2TauYYFile.txt", std::ios::app);
myfileTauYY << currentTime << "\t" << errorL2TauYY << "\n";
myfileTauYY.close();
std::ofstream myfileTauXY;
myfileTauXY.open("errorL2TauXYFile.txt", std::ios::app);
myfileTauXY << currentTime << "\t" << errorL2TauXY << "\n";
myfileTauXY.close();
}
void ComputeErrorL2NormCasePoiseuille()
{
ModelPart &rModelPart = BaseType::GetModelPart();
const ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
const double currentTime = rCurrentProcessInfo[TIME];
double sumErrorL2VelocityTheta = 0;
double sumErrorL2TauTheta = 0;
double r_in = 0.2;
double R_out = 0.5;
double kappa = r_in / R_out;
double omega = 0.5;
double viscosity = 100.0;
#pragma omp parallel
{
ModelPart::NodeIterator NodeBegin;
ModelPart::NodeIterator NodeEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodeBegin, NodeEnd);
for (ModelPart::NodeIterator itNode = NodeBegin; itNode != NodeEnd; ++itNode)
{
const double posX = itNode->X();
const double posY = itNode->Y();
const double rPos = sqrt(pow(posX, 2) + pow(posY, 2));
const double cosalfa = posX / rPos;
const double sinalfa = posY / rPos;
const double sin2alfa = 2.0 * cosalfa * sinalfa;
const double cos2alfa = 1.0 - 2.0 * pow(sinalfa, 2);
const double nodalArea = itNode->FastGetSolutionStepValue(NODAL_VOLUME);
const double velX = itNode->FastGetSolutionStepValue(VELOCITY_X);
const double velY = itNode->FastGetSolutionStepValue(VELOCITY_Y);
const double tauXX = itNode->FastGetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS)[0];
const double tauYY = itNode->FastGetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS)[1];
const double tauXY = itNode->FastGetSolutionStepValue(NODAL_DEVIATORIC_CAUCHY_STRESS)[2];
double expectedVelocityTheta = pow(kappa, 2) * omega * R_out / (1.0 - pow(kappa, 2)) * (R_out / rPos - rPos / R_out);
double computedVelocityTheta = sqrt(pow(velX, 2) + pow(velY, 2));
double nodalErrorVelocityTheta = computedVelocityTheta - expectedVelocityTheta;
double expectedTauTheta = (2.0 * viscosity * pow(kappa, 2) * omega * pow(R_out, 2)) / (1.0 - pow(kappa, 2)) / pow(rPos, 2);
double computedTauTheta = +(tauXX - tauYY) * sin2alfa / 2.0 - tauXY * cos2alfa;
double nodalErrorTauTheta = computedTauTheta - expectedTauTheta;
itNode->FastGetSolutionStepValue(NODAL_ERROR_XX) = computedVelocityTheta;
// if(posY>-0.01 && posY<0.01){
// std::cout<<"expectedTauTheta "<<expectedTauTheta<<" computedTauTheta "<<computedTauTheta <<std::endl;
// std::cout<<"tauXX "<<tauXX<<" tauYY "<<tauYY<<" tauXY "<<tauXY <<std::endl;
// std::cout<<"posX "<<posX <<" posY "<<posY <<std::endl;
// std::cout<<"\n ";
// }
// if(posX>-0.01 && posX<0.01){
// std::cout<<"expectedTauTheta "<<expectedTauTheta<<" computedTauTheta "<<computedTauTheta <<std::endl;
// std::cout<<"tauXX "<<tauXX<<" tauYY "<<tauYY<<" tauXY "<<tauXY <<std::endl;
// std::cout<<"posX "<<posX <<" posY "<<posY <<std::endl;
// std::cout<<"\n ";
// }
sumErrorL2VelocityTheta += pow(nodalErrorVelocityTheta, 2) * nodalArea;
sumErrorL2TauTheta += pow(nodalErrorTauTheta, 2) * nodalArea;
}
}
double errorL2VelocityTheta = sqrt(sumErrorL2VelocityTheta);
double errorL2TauTheta = sqrt(sumErrorL2TauTheta);
std::ofstream myfileVelocity;
myfileVelocity.open("errorL2Poiseuille.txt", std::ios::app);
myfileVelocity << currentTime << "\t" << errorL2VelocityTheta << "\t" << errorL2TauTheta << "\n";
myfileVelocity.close();
}
bool CheckPressureConvergence(const double NormDp, double &errorNormDp)
{
ModelPart &rModelPart = BaseType::GetModelPart();
double NormP = 0.00;
errorNormDp = 0;
// #pragma omp parallel reduction(+:NormP)
// {
ModelPart::NodeIterator NodeBegin;
ModelPart::NodeIterator NodeEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodeBegin, NodeEnd);
for (ModelPart::NodeIterator itNode = NodeBegin; itNode != NodeEnd; ++itNode)
{
const double Pr = itNode->FastGetSolutionStepValue(PRESSURE);
NormP += Pr * Pr;
}
// }
BaseType::GetModelPart().GetCommunicator().GetDataCommunicator().SumAll(NormP);
NormP = sqrt(NormP);
if (NormP == 0.0)
NormP = 1.00;
errorNormDp = NormDp / NormP;
if (BaseType::GetEchoLevel() > 0 && rModelPart.GetCommunicator().MyPID() == 0)
{
std::cout << " The norm of pressure increment is: " << NormDp << std::endl;
std::cout << " The norm of pressure is: " << NormP << std::endl;
std::cout << " Pressure error: " << errorNormDp << std::endl;
}
/* else{ */
/* std::cout<<" Pressure error: "<<errorNormDp <<" presTol: "<<mPressureTolerance << std::endl; */
/* } */
if (errorNormDp < mPressureTolerance)
{
return true;
}
else
return false;
}
bool FixTimeStepMomentum(const double DvErrorNorm)
{
ModelPart &rModelPart = BaseType::GetModelPart();
ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
double currentTime = rCurrentProcessInfo[TIME];
double timeInterval = rCurrentProcessInfo[DELTA_TIME];
double minTolerance = 0.005;
bool fixedTimeStep = false;
if (currentTime < 3 * timeInterval)
{
minTolerance = 10;
}
if ((DvErrorNorm > minTolerance || (DvErrorNorm < 0 && DvErrorNorm > 0) || (DvErrorNorm != DvErrorNorm)) &&
DvErrorNorm != 0 &&
(DvErrorNorm != 1 || currentTime > timeInterval))
{
rCurrentProcessInfo.SetValue(BAD_VELOCITY_CONVERGENCE, true);
std::cout << "NOT GOOD CONVERGENCE!!! I'll reduce the next time interval" << DvErrorNorm << std::endl;
minTolerance = 0.05;
if (DvErrorNorm > minTolerance)
{
std::cout << "BAD CONVERGENCE!!! I GO AHEAD WITH THE PREVIOUS VELOCITY AND PRESSURE FIELDS" << DvErrorNorm << std::endl;
fixedTimeStep = true;
// #pragma omp parallel
// {
ModelPart::NodeIterator NodeBegin;
ModelPart::NodeIterator NodeEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodeBegin, NodeEnd);
for (ModelPart::NodeIterator itNode = NodeBegin; itNode != NodeEnd; ++itNode)
{
itNode->FastGetSolutionStepValue(VELOCITY, 0) = itNode->FastGetSolutionStepValue(VELOCITY, 1);
itNode->FastGetSolutionStepValue(PRESSURE, 0) = itNode->FastGetSolutionStepValue(PRESSURE, 1);
itNode->FastGetSolutionStepValue(ACCELERATION, 0) = itNode->FastGetSolutionStepValue(ACCELERATION, 1);
}
// }
}
}
else
{
rCurrentProcessInfo.SetValue(BAD_VELOCITY_CONVERGENCE, false);
}
return fixedTimeStep;
}
bool CheckMomentumConvergence(const double DvErrorNorm)
{
ModelPart &rModelPart = BaseType::GetModelPart();
ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
double currentTime = rCurrentProcessInfo[TIME];
double timeInterval = rCurrentProcessInfo[DELTA_TIME];
double minTolerance = 0.99999;
bool fixedTimeStep = false;
if ((DvErrorNorm > minTolerance || (DvErrorNorm < 0 && DvErrorNorm > 0) || (DvErrorNorm != DvErrorNorm)) &&
DvErrorNorm != 0 &&
(DvErrorNorm != 1 || currentTime > timeInterval))
{
rCurrentProcessInfo.SetValue(BAD_VELOCITY_CONVERGENCE, true);
std::cout << " BAD CONVERGENCE DETECTED DURING THE ITERATIVE LOOP!!! error: " << DvErrorNorm << " higher than 0.9999" << std::endl;
std::cout << " I GO AHEAD WITH THE PREVIOUS VELOCITY AND PRESSURE FIELDS" << std::endl;
fixedTimeStep = true;
#pragma omp parallel
{
ModelPart::NodeIterator NodeBegin;
ModelPart::NodeIterator NodeEnd;
OpenMPUtils::PartitionedIterators(rModelPart.Nodes(), NodeBegin, NodeEnd);
for (ModelPart::NodeIterator itNode = NodeBegin; itNode != NodeEnd; ++itNode)
{
itNode->FastGetSolutionStepValue(VELOCITY, 0) = itNode->FastGetSolutionStepValue(VELOCITY, 1);
itNode->FastGetSolutionStepValue(PRESSURE, 0) = itNode->FastGetSolutionStepValue(PRESSURE, 1);
itNode->FastGetSolutionStepValue(ACCELERATION, 0) = itNode->FastGetSolutionStepValue(ACCELERATION, 1);
}
}
}
else
{
rCurrentProcessInfo.SetValue(BAD_VELOCITY_CONVERGENCE, false);
}
return fixedTimeStep;
}
bool FixTimeStepContinuity(const double DvErrorNorm)
{
ModelPart &rModelPart = BaseType::GetModelPart();
ProcessInfo &rCurrentProcessInfo = rModelPart.GetProcessInfo();
double currentTime = rCurrentProcessInfo[TIME];
double timeInterval = rCurrentProcessInfo[DELTA_TIME];
double minTolerance = 0.01;
bool fixedTimeStep = false;
if (currentTime < 3 * timeInterval)
{
minTolerance = 10;
}
if ((DvErrorNorm > minTolerance || (DvErrorNorm < 0 && DvErrorNorm > 0) || (DvErrorNorm != DvErrorNorm)) &&
DvErrorNorm != 0 &&
(DvErrorNorm != 1 || currentTime > timeInterval))
{
fixedTimeStep = true;
rCurrentProcessInfo.SetValue(BAD_PRESSURE_CONVERGENCE, true);
}
else
{
rCurrentProcessInfo.SetValue(BAD_PRESSURE_CONVERGENCE, false);
}
return fixedTimeStep;
}
///@}
///@name Protected Access
///@{
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
///@}
// private:
///@name Static Member Variables
///@{
///@}
///@name Member Variables
///@{
double mVelocityTolerance;
double mPressureTolerance;
unsigned int mMaxPressureIter;
unsigned int mDomainSize;
unsigned int mTimeOrder;
bool mReformDofSet;
// Fractional step index.
/* 1 : Momentum step (calculate fractional step velocity)
* 2-3 : Unused (reserved for componentwise calculation of frac step velocity)
* 4 : Pressure step
* 5 : Computation of projections
* 6 : End of step velocity
*/
// unsigned int mStepId;
/// Scheme for the solution of the momentum equation
StrategyPointerType mpMomentumStrategy;
/// Scheme for the solution of the mass equation
StrategyPointerType mpPressureStrategy;
///@}
///@name Private Operators
///@{
///@}
///@name Private Operations
///@{
void InitializeStrategy(SolverSettingsType &rSolverConfig)
{
KRATOS_TRY;
// Check that input parameters are reasonable and sufficient.
this->Check();
//ModelPart& rModelPart = this->GetModelPart();
mDomainSize = rSolverConfig.GetDomainSize();
mReformDofSet = rSolverConfig.GetReformDofSet();
BaseType::SetEchoLevel(rSolverConfig.GetEchoLevel());
// Initialize strategies for each step
bool HaveVelStrategy = rSolverConfig.FindStrategy(SolverSettingsType::Velocity, mpMomentumStrategy);
if (HaveVelStrategy)
{
rSolverConfig.FindTolerance(SolverSettingsType::Velocity, mVelocityTolerance);
/* rSolverConfig.FindMaxIter(SolverSettingsType::Velocity,mMaxVelocityIter); */
}
else
{
KRATOS_THROW_ERROR(std::runtime_error, "NodalTwoStepVPStrategy error: No Velocity strategy defined in FractionalStepSettings", "");
}
bool HavePressStrategy = rSolverConfig.FindStrategy(SolverSettingsType::Pressure, mpPressureStrategy);
if (HavePressStrategy)
{
rSolverConfig.FindTolerance(SolverSettingsType::Pressure, mPressureTolerance);
rSolverConfig.FindMaxIter(SolverSettingsType::Pressure, mMaxPressureIter);
}
else
{
KRATOS_THROW_ERROR(std::runtime_error, "NodalTwoStepVPStrategy error: No Pressure strategy defined in FractionalStepSettings", "");
}
// Check input parameters
this->Check();
KRATOS_CATCH("");
}
///@}
///@name Private Access
///@{
///@}
///@name Private Inquiry
///@{
///@}
///@name Un accessible methods
///@{
/// Assignment operator.
NodalTwoStepVPStrategy &operator=(NodalTwoStepVPStrategy const &rOther) {}
/// Copy constructor.
NodalTwoStepVPStrategy(NodalTwoStepVPStrategy const &rOther) {}
///@}
}; /// Class NodalTwoStepVPStrategy
///@}
///@name Type Definitions
///@{
///@}
///@} // addtogroup
} // namespace Kratos.
#endif // KRATOS_NODAL_TWO_STEP_V_P_STRATEGY_H
|
DistanceTableData.h | //////////////////////////////////////////////////////////////////////////////////////
// This file is distributed under the University of Illinois/NCSA Open Source License.
// See LICENSE file in top directory for details.
//
// Copyright (c) 2016 Jeongnim Kim and QMCPACK developers.
//
// File developed by: Jeremy McMinnis, jmcminis@gmail.com, University of Illinois at Urbana-Champaign
// Jeongnim Kim, jeongnim.kim@gmail.com, University of Illinois at Urbana-Champaign
// Jaron T. Krogel, krogeljt@ornl.gov, Oak Ridge National Laboratory
// Mark A. Berrill, berrillma@ornl.gov, Oak Ridge National Laboratory
//
// File created by: Jeongnim Kim, jeongnim.kim@gmail.com, University of Illinois at Urbana-Champaign
//////////////////////////////////////////////////////////////////////////////////////
#ifndef QMCPLUSPLUS_DISTANCETABLEDATAIMPL_H
#define QMCPLUSPLUS_DISTANCETABLEDATAIMPL_H
#include "Particle/ParticleSet.h"
#include "OhmmsPETE/OhmmsVector.h"
#include "OhmmsPETE/OhmmsMatrix.h"
#include "CPU/SIMD/aligned_allocator.hpp"
#include <OhmmsSoA/VectorSoaContainer.h>
#include <limits>
#include <bitset>
namespace qmcplusplus
{
/** enumerator for DistanceTableData::DTType
*
* - DT_AOS Use original AoS type
* - DT_SOA Use SoA type
* - DT_AOS_PREFERRED Create AoS type, if possible.
* - DT_SOA_PREFERRED Create SoA type, if possible.
* The first user of each pair will decide the type of distance table.
* It is the responsibility of the user class to check DTType.
*/
enum DistTableType
{
DT_AOS = 0,
DT_SOA,
DT_AOS_PREFERRED,
DT_SOA_PREFERRED
};
/** @ingroup nnlist
* @brief Abstract class to manage pair data between two ParticleSets.
*
* Each DistanceTableData object is fined by Source and Target of ParticleSet types.
*
*/
struct DistanceTableData
{
static constexpr unsigned DIM = OHMMS_DIM;
using IndexType = QMCTraits::IndexType;
using RealType = QMCTraits::RealType;
using PosType = QMCTraits::PosType;
using DistRow = Vector<RealType, aligned_allocator<RealType>>;
using DisplRow = VectorSoaContainer<RealType, DIM>;
///Type of DT
int DTType;
const ParticleSet* Origin;
int N_sources;
int N_targets;
int N_walkers;
protected:
/**defgroup SoA data */
/*@{*/
/** distances_[i][j] , [N_targets][N_sources]
* Note: Derived classes decide if it is a memory view or the actual storage
* For derived AA, only the lower triangle (j<i) is defined and up-to-date after pbyp move.
* The upper triangle is symmetric to the lower one only when the full table is evaluated from scratch.
* Avoid using the upper triangle because we may change the code to only allocate the lower triangle part.
* For derived AB, the full table is up-to-date after pbyp move
*/
std::vector<DistRow> distances_;
/** displacements_[N_targets]x[3][N_sources]
* Note: Derived classes decide if it is a memory view or the actual storage
* displacements_[i][j] = r_A2[j] - r_A1[i], the opposite sign of AoS dr
* For derived AA, A1=A2=A, only the lower triangle (j<i) is defined.
* For derived AB, A1=A, A2=B, the full table is allocated.
*/
std::vector<DisplRow> displacements_;
/** temp_r */
DistRow temp_r_;
/** temp_dr */
DisplRow temp_dr_;
/*@}*/
/** whether full table needs to be ready at anytime or not
* Optimization can be implemented during forward PbyP move when the full table is not needed all the time.
* DT consumers should know if full table is needed or not and request via addTable.
*/
bool need_full_table_;
///name of the table
std::string Name;
public:
///constructor using source and target ParticleSet
DistanceTableData(const ParticleSet& source, const ParticleSet& target)
: Origin(&source), N_sources(0), N_targets(0), N_walkers(0), need_full_table_(false)
{}
///virutal destructor
virtual ~DistanceTableData() = default;
///get need_full_table_
inline bool getFullTableNeeds() const { return need_full_table_; }
///set need_full_table_
inline void setFullTableNeeds(bool is_needed) { need_full_table_ = is_needed; }
///return the name of table
inline const std::string& getName() const { return Name; }
///set the name of table
inline void setName(const std::string& tname) { Name = tname; }
///returns the reference the origin particleset
const ParticleSet& origin() const { return *Origin; }
inline bool is_same_type(int dt_type) const { return DTType == dt_type; }
///returns the number of centers
inline IndexType centers() const { return Origin->getTotalNum(); }
///returns the number of centers
inline IndexType targets() const { return N_targets; }
///returns the number of source particles
inline IndexType sources() const { return N_sources; }
/** return full table distances
*/
const std::vector<DistRow>& getDistances() const { return distances_; }
/** return full table displacements
*/
const std::vector<DisplRow>& getDisplacements() const { return displacements_; }
/** return a row of distances for a given target particle
*/
const DistRow& getDistRow(int iel) const { return distances_[iel]; }
/** return a row of displacements for a given target particle
*/
const DisplRow& getDisplRow(int iel) const { return displacements_[iel]; }
/** return old distances set up by move() for optimized distance table consumers
*/
virtual const DistRow& getOldDists() const
{
APP_ABORT("DistanceTableData::getOldDists is used incorrectly! Contact developers on github.");
return temp_r_; // dummy return to avoid compiler warning.
}
/** return old displacements set up by move() for optimized distance table consumers
*/
virtual const DisplRow& getOldDispls() const
{
APP_ABORT("DistanceTableData::getOldDispls is used incorrectly! Contact developers on github.");
return temp_dr_; // dummy return to avoid compiler warning.
}
/** return the temporary distances when a move is proposed
*/
const DistRow& getTempDists() const { return temp_r_; }
/** return the temporary displacements when a move is proposed
*/
const DisplRow& getTempDispls() const { return temp_dr_; }
/** evaluate the full Distance Table
* @param P the target particle set
*/
virtual void evaluate(ParticleSet& P) = 0;
virtual void mw_evaluate(const RefVector<DistanceTableData>& dt_list, const RefVector<ParticleSet>& p_list)
{
#pragma omp parallel for
for (int iw = 0; iw < dt_list.size(); iw++)
dt_list[iw].get().evaluate(p_list[iw]);
}
/** evaluate the temporary pair relations when a move is proposed
* @param P the target particle set
* @param rnew proposed new position
* @param iat the particle to be moved
* @param prepare_old if true, prepare (temporary) old distances and displacements for using getOldDists and getOldDispls functions in acceptMove.
*
* Note: some distance table consumers (WaveFunctionComponent) have optimized code paths which require prepare_old = true for accepting a move.
* Drivers/Hamiltonians know whether moves will be accepted or not and manage this flag when calling ParticleSet::makeMoveXXX functions.
*/
virtual void move(const ParticleSet& P, const PosType& rnew, const IndexType iat = 0, bool prepare_old = true) = 0;
/** update the distance table by the pair relations if a move is accepted
* @param iat the particle with an accepted move
* @param partial_update If true, rows after iat will not be updated. If false, upon accept a move, the full table should be up-to-date
*/
virtual void update(IndexType jat, bool partial_update = false) = 0;
/** build a compact list of a neighbor for the iat source
* @param iat source particle id
* @param rcut cutoff radius
* @param jid compressed index
* @param dist compressed distance
* @param displ compressed displacement
* @return number of target particles within rcut
*/
virtual size_t get_neighbors(int iat,
RealType rcut,
int* restrict jid,
RealType* restrict dist,
PosType* restrict displ) const
{
return 0;
}
/** find the first nearest neighbor
* @param iat source particle id
* @param r distance
* @param dr displacement
* @param newpos if true, use the data in temp_r_ and temp_dr_ for the proposed move.
* if false, use the data in distance_[iat] and displacements_[iat]
* @return the id of the nearest particle, -1 not found
*/
virtual int get_first_neighbor(IndexType iat, RealType& r, PosType& dr, bool newpos) const
{
APP_ABORT("DistanceTableData::get_first_neighbor is not implemented in calling base class");
return 0;
}
inline void print(std::ostream& os)
{
APP_ABORT("DistanceTableData::print is not supported")
//os << "Table " << Origin->getName() << std::endl;
//for (int i = 0; i < r_m.size(); i++)
// os << r_m[i] << " ";
//os << std::endl;
}
/**resize the storage
*@param npairs number of pairs which is evaluated by a derived class
*@param nw number of copies
*
* The data for the pair distances, displacements
*and the distance inverses are stored in a linear storage.
* The logical view of these storages is (ipair,iwalker),
* where 0 <= ipair < M[N[SourceIndex]] and 0 <= iwalker < N[WalkerIndex]
* This scheme can handle both dense and sparse distance tables,
* and full or half of the pairs.
* Note that this function is protected and the derived classes are
* responsible to call this function for memory allocation and any
* change in the indices N.
*/
void resize(int npairs, int nw)
{
N_walkers = nw;
}
};
} // namespace qmcplusplus
#endif
|
par_interp.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)
******************************************************************************/
#include "_hypre_parcsr_ls.h"
/*---------------------------------------------------------------------------
* hypre_BoomerAMGBuildInterp
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGBuildInterp( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *col_map_offd = hypre_ParCSRMatrixColMapOffd(A);
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag(S);
HYPRE_Int *S_diag_i = hypre_CSRMatrixI(S_diag);
HYPRE_Int *S_diag_j = hypre_CSRMatrixJ(S_diag);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd(S);
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j = hypre_CSRMatrixJ(S_offd);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int *dof_func_offd = NULL;
hypre_CSRMatrix *A_ext;
HYPRE_Real *A_ext_data = NULL;
HYPRE_Int *A_ext_i = NULL;
HYPRE_BigInt *A_ext_j = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int *P_marker, *P_marker_offd;
HYPRE_Int jj_counter,jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
HYPRE_Int jj_begin_row,jj_begin_row_offd;
HYPRE_Int jj_end_row,jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int strong_f_marker;
HYPRE_Int *fine_to_coarse;
//HYPRE_Int *fine_to_coarse_offd;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int num_cols_P_offd;
HYPRE_Int i,i1,i2;
HYPRE_Int j,jl,jj,jj1;
HYPRE_Int kc;
HYPRE_BigInt big_k;
HYPRE_Int start;
HYPRE_Int sgn;
HYPRE_Int c_num;
HYPRE_Real diagonal;
HYPRE_Real sum;
HYPRE_Real distribute;
HYPRE_Real zero = 0.0;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int print_level = 0;
HYPRE_Int *int_buf_data;
HYPRE_BigInt col_1 = hypre_ParCSRMatrixFirstRowIndex(A);
HYPRE_Int local_numrows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_BigInt col_n = col_1 + (HYPRE_BigInt)local_numrows;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
num_threads = hypre_NumThreads();
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs -1)) total_global_cpts = num_cpts_global[1];
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag < 0)
{
debug_flag = -debug_flag;
print_level = 1;
}
if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_cols_A_offd) CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
if (num_functions > 1 && num_cols_A_offd)
{
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends),
HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
{
int_buf_data[index++] = CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j=start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++] = dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*----------------------------------------------------------------------
* Get the ghost rows of A
*---------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_procs > 1)
{
A_ext = hypre_ParCSRMatrixExtractBExt(A,A,1);
A_ext_i = hypre_CSRMatrixI(A_ext);
A_ext_j = hypre_CSRMatrixBigJ(A_ext);
A_ext_data = hypre_CSRMatrixData(A_ext);
}
index = 0;
for (i=0; i < num_cols_A_offd; i++)
{
for (j=A_ext_i[i]; j < A_ext_i[i+1]; j++)
{
big_k = A_ext_j[j];
if (big_k >= col_1 && big_k < col_n)
{
A_ext_j[index] = big_k - col_1;
A_ext_data[index++] = A_ext_data[j];
}
else
{
kc = hypre_BigBinarySearch(col_map_offd,big_k,num_cols_A_offd);
if (kc > -1)
{
A_ext_j[index] = (HYPRE_BigInt)(-kc-1);
A_ext_data[index++] = A_ext_data[j];
}
}
}
A_ext_i[i] = index;
}
for (i = num_cols_A_offd; i > 0; i--)
A_ext_i[i] = A_ext_i[i-1];
if (num_procs > 1) A_ext_i[0] = 0;
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 2 Get A_ext = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] = -1;
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is from the C-points that
* strongly influence i.
*--------------------------------------------------------------------*/
else
{
for (jj = S_diag_i[i]; jj < S_diag_i[i+1]; jj++)
{
i1 = S_diag_j[jj];
if (CF_marker[i1] >= 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i+1]; jj++)
{
i1 = S_offd_j[jj];
if (CF_marker_offd[i1] >= 0)
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i=0; i < num_threads-1; i++)
{
coarse_counter[i+1] += coarse_counter[i];
jj_count[i+1] += jj_count[i];
jj_count_offd[i+1] += jj_count_offd[i];
}
i = num_threads-1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_DEVICE);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) coarse_shift = coarse_counter[j-1];
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
fine_to_coarse[i] += coarse_shift;
}
//fine_to_coarse[i] += my_first_cpt+coarse_shift;
}
/*index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
/*#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt; */
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,i2,jj,jj1,ns,ne,size,rest,sum,diagonal,distribute,P_marker,P_marker_offd,strong_f_marker,jj_counter,jj_counter_offd,sgn,c_num,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd) HYPRE_SMP_SCHEDULE
#endif
for (jl = 0; jl < num_threads; jl++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (jl < rest)
{
ns = jl*size+jl;
ne = (jl+1)*size+jl+1;
}
else
{
ns = jl*size+rest;
ne = (jl+1)*size+rest;
}
jj_counter = 0;
if (jl > 0) jj_counter = jj_count[jl-1];
jj_counter_offd = 0;
if (jl > 0) jj_counter_offd = jj_count_offd[jl-1];
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
else
P_marker_offd = NULL;
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
strong_f_marker = -2;
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
jj_begin_row = jj_counter;
for (jj = S_diag_i[i]; jj < S_diag_i[i+1]; jj++)
{
i1 = S_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if (CF_marker[i1] >= 0)
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
P_diag_data[jj_counter] = zero;
jj_counter++;
}
/*--------------------------------------------------------------
* If neighbor i1 is an F-point, mark it as a strong F-point
* whose connection needs to be distributed.
*--------------------------------------------------------------*/
else if (CF_marker[i1] != -3)
{
P_marker[i1] = strong_f_marker;
}
}
jj_end_row = jj_counter;
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
jj_begin_row_offd = jj_counter_offd;
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i+1]; jj++)
{
i1 = S_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if (CF_marker_offd[i1] >= 0)
{
P_marker_offd[i1] = jj_counter_offd;
/*P_offd_j[jj_counter_offd] = fine_to_coarse_offd[i1];*/
P_offd_j[jj_counter_offd] = i1;
P_offd_data[jj_counter_offd] = zero;
jj_counter_offd++;
}
/*-----------------------------------------------------------
* If neighbor i1 is an F-point, mark it as a strong F-point
* whose connection needs to be distributed.
*-----------------------------------------------------------*/
else if (CF_marker_offd[i1] != -3)
{
P_marker_offd[i1] = strong_f_marker;
}
}
}
jj_end_row_offd = jj_counter_offd;
diagonal = A_diag_data[A_diag_i[i]];
/* Loop over ith row of A. First, the diagonal part of A */
for (jj = A_diag_i[i]+1; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker[i1] >= jj_begin_row)
{
P_diag_data[P_marker[i1]] += A_diag_data[jj];
}
/*--------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and strongly influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
*--------------------------------------------------------------*/
else if (P_marker[i1] == strong_f_marker)
{
sum = zero;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*-----------------------------------------------------------*/
sgn = 1;
if (A_diag_data[A_diag_i[i1]] < 0) sgn = -1;
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1+1]; jj1++)
{
i2 = A_diag_j[jj1];
if (P_marker[i2] >= jj_begin_row &&
(sgn*A_diag_data[jj1]) < 0)
{
sum += A_diag_data[jj1];
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1+1]; jj1++)
{
i2 = A_offd_j[jj1];
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn*A_offd_data[jj1]) < 0)
{
sum += A_offd_data[jj1];
}
}
}
if (sum != 0)
{
distribute = A_diag_data[jj] / sum;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and do the distribution.
*-----------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1+1]; jj1++)
{
i2 = A_diag_j[jj1];
if (P_marker[i2] >= jj_begin_row
&& (sgn*A_diag_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_diag_data[jj1];
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1+1]; jj1++)
{
i2 = A_offd_j[jj1];
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn*A_offd_data[jj1]) < 0)
{
P_offd_data[P_marker_offd[i2]]
+= distribute * A_offd_data[jj1];
}
}
}
}
else
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
{
diagonal += A_diag_data[jj];
}
}
}
/*--------------------------------------------------------------
* Case 3: neighbor i1 weakly influences i, accumulate a_{i,i1}
* into the diagonal.
*--------------------------------------------------------------*/
else if (CF_marker[i1] != -3)
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
{
diagonal += A_diag_data[jj];
}
}
}
/*----------------------------------------------------------------
* Still looping over ith row of A. Next, loop over the
* off-diagonal part of A
*---------------------------------------------------------------*/
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker_offd[i1] >= jj_begin_row_offd)
{
P_offd_data[P_marker_offd[i1]] += A_offd_data[jj];
}
/*------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and strongly influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
*-----------------------------------------------------------*/
else if (P_marker_offd[i1] == strong_f_marker)
{
sum = zero;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*---------------------------------------------------------*/
/* find row number */
c_num = A_offd_j[jj];
sgn = 1;
if (A_ext_data[A_ext_i[c_num]] < 0) sgn = -1;
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num+1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (i2 > -1)
{
/* in the diagonal block */
if (P_marker[i2] >= jj_begin_row
&& (sgn*A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2-1] >= jj_begin_row_offd
&& (sgn*A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
}
if (sum != 0)
{
distribute = A_offd_data[jj] / sum;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and do
* the distribution.
*--------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num+1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (i2 > -1) /* in the diagonal block */
{
if (P_marker[i2] >= jj_begin_row
&& (sgn*A_ext_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2-1] >= jj_begin_row_offd
&& (sgn*A_ext_data[jj1]) < 0)
P_offd_data[P_marker_offd[-i2-1]]
+= distribute * A_ext_data[jj1];
}
}
}
else
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
{
diagonal += A_offd_data[jj];
}
}
}
/*-----------------------------------------------------------
* Case 3: neighbor i1 weakly influences i, accumulate a_{i,i1}
* into the diagonal.
*-----------------------------------------------------------*/
else if (CF_marker_offd[i1] != -3)
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
{
diagonal += A_offd_data[jj];
}
}
}
}
/*-----------------------------------------------------------------
* Set interpolation weight by dividing by the diagonal.
*-----------------------------------------------------------------*/
if (diagonal == 0.0)
{
if (print_level)
{
hypre_printf(" Warning! zero diagonal! Proc id %d row %d\n", my_id,i);
}
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] = 0.0;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] = 0.0;
}
}
else
{
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] /= -diagonal;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] /= -diagonal;
}
}
}
strong_f_marker--;
P_offd_i[i+1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST);
}
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
total_global_cpts,
hypre_ParCSRMatrixColStarts(A),
num_cpts_global,
0,
P_diag_i[n_fine],
P_offd_i[n_fine]);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
/* Compress P, removing coefficients smaller than trunc_factor * Max */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, max_elmts);
P_diag_data = hypre_CSRMatrixData(P_diag);
P_diag_i = hypre_CSRMatrixI(P_diag);
P_diag_j = hypre_CSRMatrixJ(P_diag);
P_offd_data = hypre_CSRMatrixData(P_offd);
P_offd_i = hypre_CSRMatrixI(P_offd);
P_offd_j = hypre_CSRMatrixJ(P_offd);
P_diag_size = P_diag_i[n_fine];
P_offd_size = P_offd_i[n_fine];
}
num_cols_P_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < num_cols_A_offd; i++)
{
P_marker[i] = 0;
}
num_cols_P_offd = 0;
for (i=0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i=0; i < num_cols_P_offd; i++)
{
while (P_marker[index]==0) index++;
tmp_map_offd[i] = index++;
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < P_offd_size; i++)
P_offd_j[i] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i=0; i < n_fine; i++)
{
if (CF_marker[i] == -3) CF_marker[i] = -1;
}
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P,A, fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
//hypre_TFree(fine_to_coarse_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
if (num_procs > 1) hypre_CSRMatrixDestroy(A_ext);
return hypre_error_flag;
}
/*---------------------------------------------------------------------------
* hypre_BoomerAMGBuildInterpHE
* interpolation routine for hyperbolic PDEs
* treats weak fine connections like strong fine connections
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGBuildInterpHE( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *col_map_offd = hypre_ParCSRMatrixColMapOffd(A);
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag(S);
HYPRE_Int *S_diag_i = hypre_CSRMatrixI(S_diag);
HYPRE_Int *S_diag_j = hypre_CSRMatrixJ(S_diag);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd(S);
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j = hypre_CSRMatrixJ(S_offd);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int *dof_func_offd = NULL;
hypre_CSRMatrix *A_ext;
HYPRE_Real *A_ext_data = NULL;
HYPRE_Int *A_ext_i = NULL;
HYPRE_BigInt *A_ext_j = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int *P_marker, *P_marker_offd;
HYPRE_Int jj_counter,jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
HYPRE_Int jj_begin_row,jj_begin_row_offd;
HYPRE_Int jj_end_row,jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int *fine_to_coarse;
//HYPRE_Int *fine_to_coarse_offd;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int num_cols_P_offd;
HYPRE_Int i,i1,i2;
HYPRE_Int j,jl,jj,jj1;
HYPRE_Int kc;
HYPRE_BigInt big_k;
HYPRE_Int start;
HYPRE_Int sgn;
HYPRE_Int c_num;
HYPRE_Real diagonal;
HYPRE_Real sum;
HYPRE_Real distribute;
HYPRE_Real zero = 0.0;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int *int_buf_data;
HYPRE_BigInt col_1 = hypre_ParCSRMatrixFirstRowIndex(A);
HYPRE_Int local_numrows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_BigInt col_n = col_1 + local_numrows;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
num_threads = hypre_NumThreads();
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs -1)) total_global_cpts = num_cpts_global[1];
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_cols_A_offd) CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
if (num_functions > 1 && num_cols_A_offd)
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends),
HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j=start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*----------------------------------------------------------------------
* Get the ghost rows of A
*---------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_procs > 1)
{
A_ext = hypre_ParCSRMatrixExtractBExt(A,A,1);
A_ext_i = hypre_CSRMatrixI(A_ext);
A_ext_j = hypre_CSRMatrixBigJ(A_ext);
A_ext_data = hypre_CSRMatrixData(A_ext);
}
index = 0;
for (i=0; i < num_cols_A_offd; i++)
{
for (j=A_ext_i[i]; j < A_ext_i[i+1]; j++)
{
big_k = A_ext_j[j];
if (big_k >= col_1 && big_k < col_n)
{
A_ext_j[index] = big_k - col_1;
A_ext_data[index++] = A_ext_data[j];
}
else
{
kc = hypre_BigBinarySearch(col_map_offd,big_k,num_cols_A_offd);
if (kc > -1)
{
A_ext_j[index] = (HYPRE_BigInt)(-kc-1);
A_ext_data[index++] = A_ext_data[j];
}
}
}
A_ext_i[i] = index;
}
for (i = num_cols_A_offd; i > 0; i--)
A_ext_i[i] = A_ext_i[i-1];
if (num_procs > 1) A_ext_i[0] = 0;
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 2 Get A_ext = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] = -1;
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is from the C-points that
* strongly influence i.
*--------------------------------------------------------------------*/
else
{
for (jj = S_diag_i[i]; jj < S_diag_i[i+1]; jj++)
{
i1 = S_diag_j[jj];
if (CF_marker[i1] >= 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i+1]; jj++)
{
i1 = S_offd_j[jj];
if (CF_marker_offd[i1] >= 0)
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i=0; i < num_threads-1; i++)
{
coarse_counter[i+1] += coarse_counter[i];
jj_count[i+1] += jj_count[i];
jj_count_offd[i+1] += jj_count_offd[i];
}
i = num_threads-1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_HOST);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_HOST);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_HOST);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_HOST);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) coarse_shift = coarse_counter[j-1];
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
fine_to_coarse[i] += coarse_shift;
}
/*index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
/*#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt;*/
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,i2,jj,jj1,ns,ne,size,rest,sum,diagonal,distribute,P_marker,P_marker_offd,jj_counter,jj_counter_offd,sgn,c_num,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd) HYPRE_SMP_SCHEDULE
#endif
for (jl = 0; jl < num_threads; jl++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (jl < rest)
{
ns = jl*size+jl;
ne = (jl+1)*size+jl+1;
}
else
{
ns = jl*size+rest;
ne = (jl+1)*size+rest;
}
jj_counter = 0;
if (jl > 0) jj_counter = jj_count[jl-1];
jj_counter_offd = 0;
if (jl > 0) jj_counter_offd = jj_count_offd[jl-1];
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
else
P_marker_offd = NULL;
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
jj_begin_row = jj_counter;
for (jj = S_diag_i[i]; jj < S_diag_i[i+1]; jj++)
{
i1 = S_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if (CF_marker[i1] >= 0)
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
P_diag_data[jj_counter] = zero;
jj_counter++;
}
}
jj_end_row = jj_counter;
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
jj_begin_row_offd = jj_counter_offd;
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i+1]; jj++)
{
i1 = S_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if (CF_marker_offd[i1] >= 0)
{
P_marker_offd[i1] = jj_counter_offd;
P_offd_j[jj_counter_offd] = i1;
P_offd_data[jj_counter_offd] = zero;
jj_counter_offd++;
}
}
}
jj_end_row_offd = jj_counter_offd;
diagonal = A_diag_data[A_diag_i[i]];
/* Loop over ith row of A. First, the diagonal part of A */
for (jj = A_diag_i[i]+1; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker[i1] >= jj_begin_row)
{
P_diag_data[P_marker[i1]] += A_diag_data[jj];
}
/*--------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and influences i,
* distribute a_{i,i1} to C-points that strongly influence i.
* Note: currently no distribution to the diagonal in this case.
*--------------------------------------------------------------*/
else
{
sum = zero;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*-----------------------------------------------------------*/
sgn = 1;
if (A_diag_data[A_diag_i[i1]] < 0) sgn = -1;
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1+1]; jj1++)
{
i2 = A_diag_j[jj1];
if (P_marker[i2] >= jj_begin_row &&
(sgn*A_diag_data[jj1]) < 0)
{
sum += A_diag_data[jj1];
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1+1]; jj1++)
{
i2 = A_offd_j[jj1];
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn*A_offd_data[jj1]) < 0)
{
sum += A_offd_data[jj1];
}
}
}
if (sum != 0)
{
distribute = A_diag_data[jj] / sum;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and do the distribution.
*-----------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1+1]; jj1++)
{
i2 = A_diag_j[jj1];
if (P_marker[i2] >= jj_begin_row
&& (sgn*A_diag_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_diag_data[jj1];
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1+1]; jj1++)
{
i2 = A_offd_j[jj1];
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn*A_offd_data[jj1]) < 0)
{
P_offd_data[P_marker_offd[i2]]
+= distribute * A_offd_data[jj1];
}
}
}
}
else
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
diagonal += A_diag_data[jj];
}
}
}
/*----------------------------------------------------------------
* Still looping over ith row of A. Next, loop over the
* off-diagonal part of A
*---------------------------------------------------------------*/
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker_offd[i1] >= jj_begin_row_offd)
{
P_offd_data[P_marker_offd[i1]] += A_offd_data[jj];
}
/*------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
*-----------------------------------------------------------*/
else
{
sum = zero;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*---------------------------------------------------------*/
/* find row number */
c_num = A_offd_j[jj];
sgn = 1;
if (A_ext_data[A_ext_i[c_num]] < 0) sgn = -1;
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num+1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (i2 > -1)
{
/* in the diagonal block */
if (P_marker[i2] >= jj_begin_row
&& (sgn*A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2-1] >= jj_begin_row_offd
&& (sgn*A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
}
if (sum != 0)
{
distribute = A_offd_data[jj] / sum;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and do
* the distribution.
*--------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num+1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (i2 > -1) /* in the diagonal block */
{
if (P_marker[i2] >= jj_begin_row
&& (sgn*A_ext_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2-1] >= jj_begin_row_offd
&& (sgn*A_ext_data[jj1]) < 0)
P_offd_data[P_marker_offd[-i2-1]]
+= distribute * A_ext_data[jj1];
}
}
}
else
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
diagonal += A_offd_data[jj];
}
}
}
}
/*-----------------------------------------------------------------
* Set interpolation weight by dividing by the diagonal.
*-----------------------------------------------------------------*/
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] /= -diagonal;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] /= -diagonal;
}
}
P_offd_i[i+1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST);
}
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
total_global_cpts,
hypre_ParCSRMatrixColStarts(A),
num_cpts_global,
0,
P_diag_i[n_fine],
P_offd_i[n_fine]);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
/* Compress P, removing coefficients smaller than trunc_factor * Max */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, max_elmts);
P_diag_data = hypre_CSRMatrixData(P_diag);
P_diag_i = hypre_CSRMatrixI(P_diag);
P_diag_j = hypre_CSRMatrixJ(P_diag);
P_offd_data = hypre_CSRMatrixData(P_offd);
P_offd_i = hypre_CSRMatrixI(P_offd);
P_offd_j = hypre_CSRMatrixJ(P_offd);
P_diag_size = P_diag_i[n_fine];
P_offd_size = P_offd_i[n_fine];
}
num_cols_P_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < num_cols_A_offd; i++)
P_marker[i] = 0;
num_cols_P_offd = 0;
for (i=0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i=0; i < num_cols_P_offd; i++)
{
while (P_marker[index]==0) index++;
tmp_map_offd[i] = index++;
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < P_offd_size; i++)
P_offd_j[i] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i=0; i < n_fine; i++)
if (CF_marker[i] == -3) CF_marker[i] = -1;
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P,A,fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
if (num_procs > 1)
{
hypre_CSRMatrixDestroy(A_ext);
}
return hypre_error_flag;
}
/*---------------------------------------------------------------------------
* hypre_BoomerAMGBuildDirInterp
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGBuildDirInterpHost( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag(S);
HYPRE_Int *S_diag_i = hypre_CSRMatrixI(S_diag);
HYPRE_Int *S_diag_j = hypre_CSRMatrixJ(S_diag);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd(S);
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j = hypre_CSRMatrixJ(S_offd);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int *dof_func_offd = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int jj_counter,jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
HYPRE_Int jj_begin_row,jj_begin_row_offd;
HYPRE_Int jj_end_row,jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int *fine_to_coarse;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
HYPRE_Int num_cols_P_offd;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int i,i1;
HYPRE_Int j,jl,jj;
HYPRE_Int start;
HYPRE_Real diagonal;
HYPRE_Real sum_N_pos, sum_P_pos;
HYPRE_Real sum_N_neg, sum_P_neg;
HYPRE_Real alfa = 1.0;
HYPRE_Real beta = 1.0;
HYPRE_Real zero = 0.0;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int *int_buf_data;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
num_threads = hypre_NumThreads();
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs -1)) total_global_cpts = num_cpts_global[1];
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_cols_A_offd) CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
if (num_functions > 1 && num_cols_A_offd)
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends), HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j=start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] = -1;
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is from the C-points that
* strongly influence i.
*--------------------------------------------------------------------*/
else
{
for (jj = S_diag_i[i]; jj < S_diag_i[i+1]; jj++)
{
i1 = S_diag_j[jj];
if (CF_marker[i1] > 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i+1]; jj++)
{
i1 = S_offd_j[jj];
if (CF_marker_offd[i1] > 0)
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i=0; i < num_threads-1; i++)
{
coarse_counter[i+1] += coarse_counter[i];
jj_count[i+1] += jj_count[i];
jj_count_offd[i+1] += jj_count_offd[i];
}
i = num_threads-1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_DEVICE);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) coarse_shift = coarse_counter[j-1];
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
fine_to_coarse[i] += coarse_shift;
}
}
/*index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
/*#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt;*/
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,jj,ns,ne,size,rest,diagonal,jj_counter,jj_counter_offd,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd,sum_P_pos,sum_P_neg,sum_N_pos,sum_N_neg,alfa,beta) HYPRE_SMP_SCHEDULE
#endif
for (jl = 0; jl < num_threads; jl++)
{
HYPRE_Int *P_marker, *P_marker_offd;
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (jl < rest)
{
ns = jl*size+jl;
ne = (jl+1)*size+jl+1;
}
else
{
ns = jl*size+rest;
ne = (jl+1)*size+rest;
}
jj_counter = 0;
if (jl > 0) jj_counter = jj_count[jl-1];
jj_counter_offd = 0;
if (jl > 0) jj_counter_offd = jj_count_offd[jl-1];
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
else
P_marker_offd = NULL;
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
jj_begin_row = jj_counter;
for (jj = S_diag_i[i]; jj < S_diag_i[i+1]; jj++)
{
i1 = S_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if (CF_marker[i1] >= 0)
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
P_diag_data[jj_counter] = zero;
jj_counter++;
}
}
jj_end_row = jj_counter;
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
jj_begin_row_offd = jj_counter_offd;
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i+1]; jj++)
{
i1 = S_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if (CF_marker_offd[i1] >= 0)
{
P_marker_offd[i1] = jj_counter_offd;
P_offd_j[jj_counter_offd] = i1;
P_offd_data[jj_counter_offd] = zero;
jj_counter_offd++;
}
}
}
jj_end_row_offd = jj_counter_offd;
diagonal = A_diag_data[A_diag_i[i]];
/* Loop over ith row of A. First, the diagonal part of A */
sum_N_pos = 0;
sum_N_neg = 0;
sum_P_pos = 0;
sum_P_neg = 0;
for (jj = A_diag_i[i]+1; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
if (num_functions == 1 || dof_func[i1] == dof_func[i])
{
if (A_diag_data[jj] > 0)
sum_N_pos += A_diag_data[jj];
else
sum_N_neg += A_diag_data[jj];
}
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker[i1] >= jj_begin_row)
{
P_diag_data[P_marker[i1]] += A_diag_data[jj];
if (A_diag_data[jj] > 0)
sum_P_pos += A_diag_data[jj];
else
sum_P_neg += A_diag_data[jj];
}
}
/*----------------------------------------------------------------
* Still looping over ith row of A. Next, loop over the
* off-diagonal part of A
*---------------------------------------------------------------*/
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
if (num_functions == 1 || dof_func_offd[i1] == dof_func[i])
{
if (A_offd_data[jj] > 0)
sum_N_pos += A_offd_data[jj];
else
sum_N_neg += A_offd_data[jj];
}
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker_offd[i1] >= jj_begin_row_offd)
{
P_offd_data[P_marker_offd[i1]] += A_offd_data[jj];
if (A_offd_data[jj] > 0)
sum_P_pos += A_offd_data[jj];
else
sum_P_neg += A_offd_data[jj];
}
}
}
if (sum_P_neg) alfa = sum_N_neg/sum_P_neg/diagonal;
if (sum_P_pos) beta = sum_N_pos/sum_P_pos/diagonal;
/*-----------------------------------------------------------------
* Set interpolation weight by dividing by the diagonal.
*-----------------------------------------------------------------*/
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
if (P_diag_data[jj]> 0)
P_diag_data[jj] *= -beta;
else
P_diag_data[jj] *= -alfa;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
if (P_offd_data[jj]> 0)
P_offd_data[jj] *= -beta;
else
P_offd_data[jj] *= -alfa;
}
}
P_offd_i[i+1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST);
}
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
total_global_cpts,
hypre_ParCSRMatrixColStarts(A),
num_cpts_global,
0,
P_diag_i[n_fine],
P_offd_i[n_fine]);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
/* Compress P, removing coefficients smaller than trunc_factor * Max */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, max_elmts);
P_diag_data = hypre_CSRMatrixData(P_diag);
P_diag_i = hypre_CSRMatrixI(P_diag);
P_diag_j = hypre_CSRMatrixJ(P_diag);
P_offd_data = hypre_CSRMatrixData(P_offd);
P_offd_i = hypre_CSRMatrixI(P_offd);
P_offd_j = hypre_CSRMatrixJ(P_offd);
P_diag_size = P_diag_i[n_fine];
P_offd_size = P_offd_i[n_fine];
}
num_cols_P_offd = 0;
if (P_offd_size)
{
HYPRE_Int *P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < num_cols_A_offd; i++)
P_marker[i] = 0;
num_cols_P_offd = 0;
for (i=0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i=0; i < num_cols_P_offd; i++)
{
while (P_marker[index]==0) index++;
tmp_map_offd[i] = index++;
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < P_offd_size; i++)
{
P_offd_j[i] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i=0; i < n_fine; i++)
if (CF_marker[i] == -3) CF_marker[i] = -1;
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P, A, fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
HYPRE_Int
hypre_BoomerAMGBuildDirInterp( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
HYPRE_Int interp_type,
hypre_ParCSRMatrix **P_ptr)
{
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPushRange("DirInterp");
#endif
HYPRE_Int ierr = 0;
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy1( hypre_ParCSRMatrixMemoryLocation(A) );
if (exec == HYPRE_EXEC_DEVICE)
{
ierr = hypre_BoomerAMGBuildDirInterpDevice(A,CF_marker,S,num_cpts_global,num_functions,dof_func,
debug_flag,trunc_factor,max_elmts,
interp_type, P_ptr);
}
else
#endif
{
ierr = hypre_BoomerAMGBuildDirInterpHost(A,CF_marker,S,num_cpts_global,num_functions,dof_func,
debug_flag,trunc_factor,max_elmts, P_ptr);
}
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPopRange();
#endif
return ierr;
}
/*------------------------------------------------
* Drop entries in interpolation matrix P
* max_elmts == 0 means no limit on rownnz
*------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGInterpTruncation( hypre_ParCSRMatrix *P,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts)
{
if (trunc_factor <= 0.0 && max_elmts == 0)
{
return 0;
}
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy1( hypre_ParCSRMatrixMemoryLocation(P) );
if (exec == HYPRE_EXEC_DEVICE)
{
return hypre_BoomerAMGInterpTruncationDevice(P, trunc_factor, max_elmts);
}
else
#endif
{
HYPRE_Int rescale = 1; // rescale P
HYPRE_Int nrm_type = 0; // Use infty-norm of row to perform treshold dropping
return hypre_ParCSRMatrixTruncate(P, trunc_factor, max_elmts, rescale, nrm_type);
}
}
/*---------------------------------------------------------------------------
* hypre_BoomerAMGBuildInterpModUnk - this is a modified interpolation for the unknown approach.
* here we need to pass in a strength matrix built on the entire matrix.
*
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGBuildInterpModUnk( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *col_map_offd = hypre_ParCSRMatrixColMapOffd(A);
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag(S);
HYPRE_Int *S_diag_i = hypre_CSRMatrixI(S_diag);
HYPRE_Int *S_diag_j = hypre_CSRMatrixJ(S_diag);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd(S);
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j = hypre_CSRMatrixJ(S_offd);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int *dof_func_offd = NULL;
hypre_CSRMatrix *A_ext;
HYPRE_Real *A_ext_data = NULL;
HYPRE_Int *A_ext_i = NULL;
HYPRE_BigInt *A_ext_j = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int *P_marker, *P_marker_offd;
HYPRE_Int jj_counter,jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
HYPRE_Int jj_begin_row,jj_begin_row_offd;
HYPRE_Int jj_end_row,jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int strong_f_marker;
HYPRE_Int *fine_to_coarse;
//HYPRE_Int *fine_to_coarse_offd;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
HYPRE_Int num_cols_P_offd;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int i,i1,i2;
HYPRE_Int j,jl,jj,jj1;
HYPRE_Int kc;
HYPRE_BigInt big_k;
HYPRE_Int start;
HYPRE_Int sgn;
HYPRE_Int c_num;
HYPRE_Real diagonal;
HYPRE_Real sum;
HYPRE_Real distribute;
HYPRE_Real zero = 0.0;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int print_level = 0;
HYPRE_Int *int_buf_data;
HYPRE_BigInt col_1 = hypre_ParCSRMatrixFirstRowIndex(A);
HYPRE_Int local_numrows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_BigInt col_n = col_1 + local_numrows;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
num_threads = hypre_NumThreads();
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs -1)) total_global_cpts = num_cpts_global[1];
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag < 0)
{
debug_flag = -debug_flag;
print_level = 1;
}
if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_cols_A_offd) CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
if (num_functions > 1 && num_cols_A_offd)
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends), HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j=start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*----------------------------------------------------------------------
* Get the ghost rows of A
*---------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_procs > 1)
{
A_ext = hypre_ParCSRMatrixExtractBExt(A,A,1);
A_ext_i = hypre_CSRMatrixI(A_ext);
A_ext_j = hypre_CSRMatrixBigJ(A_ext);
A_ext_data = hypre_CSRMatrixData(A_ext);
}
index = 0;
for (i=0; i < num_cols_A_offd; i++)
{
for (j=A_ext_i[i]; j < A_ext_i[i+1]; j++)
{
big_k = A_ext_j[j];
if (big_k >= col_1 && big_k < col_n)
{
A_ext_j[index] = big_k - col_1;
A_ext_data[index++] = A_ext_data[j];
}
else
{
kc = hypre_BigBinarySearch(col_map_offd,big_k,num_cols_A_offd);
if (kc > -1)
{
A_ext_j[index] = (HYPRE_BigInt)(-kc-1);
A_ext_data[index++] = A_ext_data[j];
}
}
}
A_ext_i[i] = index;
}
for (i = num_cols_A_offd; i > 0; i--)
A_ext_i[i] = A_ext_i[i-1];
if (num_procs > 1) A_ext_i[0] = 0;
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 2 Get A_ext = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] = -1;
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is from the C-points that
* strongly influence i.
*--------------------------------------------------------------------*/
else
{
for (jj = S_diag_i[i]; jj < S_diag_i[i+1]; jj++)
{
i1 = S_diag_j[jj];
if (CF_marker[i1] >= 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i+1]; jj++)
{
i1 = S_offd_j[jj];
if (CF_marker_offd[i1] >= 0)
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i=0; i < num_threads-1; i++)
{
coarse_counter[i+1] += coarse_counter[i];
jj_count[i+1] += jj_count[i];
jj_count_offd[i+1] += jj_count_offd[i];
}
i = num_threads-1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_HOST);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_HOST);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_HOST);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_HOST);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) coarse_shift = coarse_counter[j-1];
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
fine_to_coarse[i] += coarse_shift;
}
/*index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
/*#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt;*/
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,i2,jj,jj1,ns,ne,size,rest,sum,diagonal,distribute,P_marker,P_marker_offd,strong_f_marker,jj_counter,jj_counter_offd,sgn,c_num,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd) HYPRE_SMP_SCHEDULE
#endif
for (jl = 0; jl < num_threads; jl++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (jl < rest)
{
ns = jl*size+jl;
ne = (jl+1)*size+jl+1;
}
else
{
ns = jl*size+rest;
ne = (jl+1)*size+rest;
}
jj_counter = 0;
if (jl > 0) jj_counter = jj_count[jl-1];
jj_counter_offd = 0;
if (jl > 0) jj_counter_offd = jj_count_offd[jl-1];
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
else
P_marker_offd = NULL;
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
strong_f_marker = -2;
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
jj_begin_row = jj_counter;
for (jj = S_diag_i[i]; jj < S_diag_i[i+1]; jj++)
{
i1 = S_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if (CF_marker[i1] >= 0)
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
P_diag_data[jj_counter] = zero;
jj_counter++;
}
/*--------------------------------------------------------------
* If neighbor i1 is an F-point, mark it as a strong F-point
* whose connection needs to be distributed.
*--------------------------------------------------------------*/
else if (CF_marker[i1] != -3)
{
P_marker[i1] = strong_f_marker;
}
}
jj_end_row = jj_counter;
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
jj_begin_row_offd = jj_counter_offd;
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i+1]; jj++)
{
i1 = S_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if (CF_marker_offd[i1] >= 0)
{
P_marker_offd[i1] = jj_counter_offd;
/*P_offd_j[jj_counter_offd] = fine_to_coarse_offd[i1];*/
P_offd_j[jj_counter_offd] = i1;
P_offd_data[jj_counter_offd] = zero;
jj_counter_offd++;
}
/*-----------------------------------------------------------
* If neighbor i1 is an F-point, mark it as a strong F-point
* whose connection needs to be distributed.
*-----------------------------------------------------------*/
else if (CF_marker_offd[i1] != -3)
{
P_marker_offd[i1] = strong_f_marker;
}
}
}
jj_end_row_offd = jj_counter_offd;
diagonal = A_diag_data[A_diag_i[i]];
/* Loop over ith row of A. First, the diagonal part of A */
for (jj = A_diag_i[i]+1; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker[i1] >= jj_begin_row)
{
P_diag_data[P_marker[i1]] += A_diag_data[jj];
}
/*--------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and strongly influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
HERE, we only want to distribut to points of the SAME function type
*--------------------------------------------------------------*/
else if (P_marker[i1] == strong_f_marker)
{
sum = zero;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*-----------------------------------------------------------*/
sgn = 1;
if (A_diag_data[A_diag_i[i1]] < 0) sgn = -1;
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1+1]; jj1++)
{
i2 = A_diag_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (P_marker[i2] >= jj_begin_row &&
(sgn*A_diag_data[jj1]) < 0 )
{
sum += A_diag_data[jj1];
}
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1+1]; jj1++)
{
i2 = A_offd_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn*A_offd_data[jj1]) < 0)
{
sum += A_offd_data[jj1];
}
}
}
}
if (sum != 0)
{
distribute = A_diag_data[jj] / sum;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and do the distribution.
*-----------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1+1]; jj1++)
{
i2 = A_diag_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (P_marker[i2] >= jj_begin_row
&& (sgn*A_diag_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_diag_data[jj1];
}
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1+1]; jj1++)
{
i2 = A_offd_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn*A_offd_data[jj1]) < 0)
{
P_offd_data[P_marker_offd[i2]]
+= distribute * A_offd_data[jj1];
}
}
}
}
}
else /* sum = 0 - only add to diag if the same function type */
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
diagonal += A_diag_data[jj];
}
}
/*--------------------------------------------------------------
* Case 3: neighbor i1 weakly influences i, accumulate a_{i,i1}
* into the diagonal. (only if the same function type)
*--------------------------------------------------------------*/
else if (CF_marker[i1] != -3)
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
diagonal += A_diag_data[jj];
}
}
/*----------------------------------------------------------------
* Still looping over ith row of A. Next, loop over the
* off-diagonal part of A
*---------------------------------------------------------------*/
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker_offd[i1] >= jj_begin_row_offd)
{
P_offd_data[P_marker_offd[i1]] += A_offd_data[jj];
}
/*------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and strongly influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
AGAIN, we only want to distribut to points of the SAME function type
*-----------------------------------------------------------*/
else if (P_marker_offd[i1] == strong_f_marker)
{
sum = zero;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*---------------------------------------------------------*/
/* find row number */
c_num = A_offd_j[jj];
sgn = 1;
if (A_ext_data[A_ext_i[c_num]] < 0) sgn = -1;
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num+1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (i2 > -1)
{
/* in the diagonal block */
if (P_marker[i2] >= jj_begin_row
&& (sgn*A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2-1] >= jj_begin_row_offd
&& (sgn*A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
}
}
if (sum != 0)
{
distribute = A_offd_data[jj] / sum;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and do
* the distribution.
*--------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num+1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (i2 > -1) /* in the diagonal block */
{
if (P_marker[i2] >= jj_begin_row
&& (sgn*A_ext_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2-1] >= jj_begin_row_offd
&& (sgn*A_ext_data[jj1]) < 0)
P_offd_data[P_marker_offd[-i2-1]]
+= distribute * A_ext_data[jj1];
}
}
}
}
else /* sum = 0 */
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
diagonal += A_offd_data[jj];
}
}
/*-----------------------------------------------------------
* Case 3: neighbor i1 weakly influences i, accumulate a_{i,i1}
* into the diagonal.
*-----------------------------------------------------------*/
else if (CF_marker_offd[i1] != -3)
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
diagonal += A_offd_data[jj];
}
}
}
/*-----------------------------------------------------------------
* Set interpolation weight by dividing by the diagonal.
*-----------------------------------------------------------------*/
if (diagonal == 0.0)
{
if (print_level)
hypre_printf(" Warning! zero diagonal! Proc id %d row %d\n", my_id,i);
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] = 0.0;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] = 0.0;
}
}
else
{
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] /= -diagonal;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] /= -diagonal;
}
}
}
strong_f_marker--;
P_offd_i[i+1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST);
}
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
total_global_cpts,
hypre_ParCSRMatrixColStarts(A),
num_cpts_global,
0,
P_diag_i[n_fine],
P_offd_i[n_fine]);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
/* Compress P, removing coefficients smaller than trunc_factor * Max */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, max_elmts);
P_diag_data = hypre_CSRMatrixData(P_diag);
P_diag_i = hypre_CSRMatrixI(P_diag);
P_diag_j = hypre_CSRMatrixJ(P_diag);
P_offd_data = hypre_CSRMatrixData(P_offd);
P_offd_i = hypre_CSRMatrixI(P_offd);
P_offd_j = hypre_CSRMatrixJ(P_offd);
P_diag_size = P_diag_i[n_fine];
P_offd_size = P_offd_i[n_fine];
}
num_cols_P_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < num_cols_A_offd; i++)
P_marker[i] = 0;
num_cols_P_offd = 0;
for (i=0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i=0; i < num_cols_P_offd; i++)
{
while (P_marker[index]==0) index++;
tmp_map_offd[i] = index++;
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < P_offd_size; i++)
P_offd_j[i] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i=0; i < n_fine; i++)
if (CF_marker[i] == -3) CF_marker[i] = -1;
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P, A, fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
if (num_procs > 1) hypre_CSRMatrixDestroy(A_ext);
return hypre_error_flag;
}
/*---------------------------------------------------------------------------
* hypre_BoomerAMGTruncandBuild
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGTruncandBuild( hypre_ParCSRMatrix *P,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts)
{
hypre_CSRMatrix *P_offd = hypre_ParCSRMatrixOffd(P);
hypre_ParCSRCommPkg *commpkg_P = hypre_ParCSRMatrixCommPkg(P);
HYPRE_BigInt *col_map_offd = hypre_ParCSRMatrixColMapOffd(P);
HYPRE_Int *P_offd_i = hypre_CSRMatrixI(P_offd);
HYPRE_Int *P_offd_j = hypre_CSRMatrixJ(P_offd);
HYPRE_Int num_cols_offd = hypre_CSRMatrixNumCols(P_offd);
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(P_offd);
HYPRE_BigInt *new_col_map_offd;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int P_offd_size=0, new_num_cols_offd;
HYPRE_Int *P_marker;
HYPRE_Int i;
HYPRE_Int index;
/* Compress P, removing coefficients smaller than trunc_factor * Max */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, max_elmts);
P_offd_j = hypre_CSRMatrixJ(P_offd);
P_offd_i = hypre_CSRMatrixI(P_offd);
P_offd_size = P_offd_i[n_fine];
}
new_num_cols_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST);
/*#define HYPRE_SMP_PRIVATE i
#include "../utilities/hypre_smp_forloop.h"*/
for (i=0; i < num_cols_offd; i++)
P_marker[i] = 0;
for (i=0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
new_num_cols_offd++;
P_marker[index] = 1;
}
}
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, new_num_cols_offd, HYPRE_MEMORY_HOST);
new_col_map_offd = hypre_CTAlloc(HYPRE_BigInt, new_num_cols_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i=0; i < new_num_cols_offd; i++)
{
while (P_marker[index]==0) index++;
tmp_map_offd[i] = index++;
}
/*#define HYPRE_SMP_PRIVATE i
#include "../utilities/hypre_smp_forloop.h"*/
for (i=0; i < P_offd_size; i++)
P_offd_j[i] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
new_num_cols_offd);
}
index = 0;
for (i = 0; i < new_num_cols_offd; i++)
{
while (P_marker[index] == 0) index++;
new_col_map_offd[i] = col_map_offd[index];
index++;
}
if (P_offd_size) hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
if (new_num_cols_offd)
{
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(col_map_offd, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixColMapOffd(P) = new_col_map_offd;
hypre_CSRMatrixNumCols(P_offd) = new_num_cols_offd;
}
if (commpkg_P != NULL) hypre_MatvecCommPkgDestroy(commpkg_P);
hypre_MatvecCommPkgCreate(P);
return hypre_error_flag;
}
hypre_ParCSRMatrix *hypre_CreateC( hypre_ParCSRMatrix *A,
HYPRE_Real w)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_BigInt *row_starts = hypre_ParCSRMatrixRowStarts(A);
HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
HYPRE_Int num_rows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int num_cols_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt global_num_rows = hypre_ParCSRMatrixGlobalNumRows(A);
hypre_ParCSRMatrix *C;
hypre_CSRMatrix *C_diag;
hypre_CSRMatrix *C_offd;
HYPRE_Real *C_diag_data;
HYPRE_Int *C_diag_i;
HYPRE_Int *C_diag_j;
HYPRE_Real *C_offd_data;
HYPRE_Int *C_offd_i;
HYPRE_Int *C_offd_j;
HYPRE_BigInt *col_map_offd_C;
HYPRE_Int i, j, index;
HYPRE_Real invdiag;
HYPRE_Real w_local = w;
C = hypre_ParCSRMatrixCreate(comm, global_num_rows, global_num_rows, row_starts,
row_starts, num_cols_offd, A_diag_i[num_rows], A_offd_i[num_rows]);
hypre_ParCSRMatrixInitialize(C);
C_diag = hypre_ParCSRMatrixDiag(C);
C_offd = hypre_ParCSRMatrixOffd(C);
C_diag_i = hypre_CSRMatrixI(C_diag);
C_diag_j = hypre_CSRMatrixJ(C_diag);
C_diag_data = hypre_CSRMatrixData(C_diag);
C_offd_i = hypre_CSRMatrixI(C_offd);
C_offd_j = hypre_CSRMatrixJ(C_offd);
C_offd_data = hypre_CSRMatrixData(C_offd);
col_map_offd_C = hypre_ParCSRMatrixColMapOffd(C);
for (i = 0; i < num_cols_offd; i++)
{
col_map_offd_C[i] = col_map_offd_A[i];
}
for (i = 0; i < num_rows; i++)
{
index = A_diag_i[i];
invdiag = -w/A_diag_data[index];
C_diag_data[index] = 1.0-w;
C_diag_j[index] = A_diag_j[index];
if (w == 0)
{
w_local = fabs(A_diag_data[index]);
for (j = index+1; j < A_diag_i[i+1]; j++)
w_local += fabs(A_diag_data[j]);
for (j = A_offd_i[i]; j < A_offd_i[i+1]; j++)
w_local += fabs(A_offd_data[j]);
invdiag = -1/w_local;
C_diag_data[index] = 1.0-A_diag_data[index]/w_local;
}
C_diag_i[i] = index;
C_offd_i[i] = A_offd_i[i];
for (j = index+1; j < A_diag_i[i+1]; j++)
{
C_diag_data[j] = A_diag_data[j]*invdiag;
C_diag_j[j] = A_diag_j[j];
}
for (j = A_offd_i[i]; j < A_offd_i[i+1]; j++)
{
C_offd_data[j] = A_offd_data[j]*invdiag;
C_offd_j[j] = A_offd_j[j];
}
}
C_diag_i[num_rows] = A_diag_i[num_rows];
C_offd_i[num_rows] = A_offd_i[num_rows];
return C;
}
/* RL */
HYPRE_Int
hypre_BoomerAMGBuildInterpOnePntHost( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
//HYPRE_Int *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag(S);
HYPRE_Int *S_diag_i = hypre_CSRMatrixI(S_diag);
HYPRE_Int *S_diag_j = hypre_CSRMatrixJ(S_diag);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd(S);
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j = hypre_CSRMatrixJ(S_offd);
/* Interpolation matrix P */
hypre_ParCSRMatrix *P;
/* csr's */
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
/* arrays */
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int num_cols_offd_P;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_BigInt *col_map_offd_P = NULL;
/* CF marker off-diag part */
HYPRE_Int *CF_marker_offd = NULL;
/* func type off-diag part */
HYPRE_Int *dof_func_offd = NULL;
/* nnz */
HYPRE_Int nnz_diag, nnz_offd, cnt_diag, cnt_offd;
HYPRE_Int *marker_diag, *marker_offd = NULL;
/* local size */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
/* number of C-pts */
HYPRE_Int n_cpts = 0;
/* fine to coarse mapping: diag part and offd part */
HYPRE_Int *fine_to_coarse;
HYPRE_BigInt *fine_to_coarse_offd = NULL;
HYPRE_BigInt total_global_cpts, my_first_cpt;
HYPRE_Int my_id, num_procs;
HYPRE_Int num_sends;
HYPRE_Int *int_buf_data = NULL;
HYPRE_BigInt *big_int_buf_data = NULL;
//HYPRE_Int col_start = hypre_ParCSRMatrixFirstRowIndex(A);
//HYPRE_Int col_end = col_start + n_fine;
HYPRE_Int i, j, i1, j1, k1, index, start;
HYPRE_Int *max_abs_cij;
char *max_abs_diag_offd;
HYPRE_Real max_abs_aij, vv;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs -1)) total_global_cpts = num_cpts_global[1];
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
/* CF marker for the off-diag columns */
if (num_cols_A_offd)
{
CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd,HYPRE_MEMORY_HOST);
}
/* function type indicator for the off-diag columns */
if (num_functions > 1 && num_cols_A_offd)
{
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd,HYPRE_MEMORY_HOST);
}
/* if CommPkg of A is not present, create it */
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
/* number of sends to do (number of procs) */
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
/* send buffer, of size send_map_starts[num_sends]),
* i.e., number of entries to send */
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends),HYPRE_MEMORY_HOST);
/* copy CF markers of elements to send to buffer
* RL: why copy them with two for loops? Why not just loop through all in one */
index = 0;
for (i = 0; i < num_sends; i++)
{
/* start pos of elements sent to send_proc[i] */
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
/* loop through all elems to send_proc[i] */
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
{
/* CF marker of send_map_elemts[j] */
int_buf_data[index++] = CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
}
/* create a handle to start communication. 11: for integer */
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data, CF_marker_offd);
/* destroy the handle to finish communication */
hypre_ParCSRCommHandleDestroy(comm_handle);
/* do a similar communication for dof_func */
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
{
int_buf_data[index++] = dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
}
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data, dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
hypre_TFree(int_buf_data,HYPRE_MEMORY_HOST);
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping,
* and find the most strongly influencing C-pt for each F-pt
*-----------------------------------------------------------------------*/
/* nnz in diag and offd parts */
cnt_diag = 0;
cnt_offd = 0;
max_abs_cij = hypre_CTAlloc(HYPRE_Int, n_fine,HYPRE_MEMORY_HOST);
max_abs_diag_offd = hypre_CTAlloc(char, n_fine,HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine,HYPRE_MEMORY_HOST);
/* markers initialized as zeros */
marker_diag = hypre_CTAlloc(HYPRE_Int, n_fine,HYPRE_MEMORY_HOST);
marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd,HYPRE_MEMORY_HOST);
for (i = 0; i < n_fine; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
//fine_to_coarse[i] = my_first_cpt + n_cpts;
fine_to_coarse[i] = n_cpts;
n_cpts++;
continue;
}
/* mark all the strong connections: in S */
HYPRE_Int MARK = i + 1;
/* loop through row i of S, diag part */
for (j = S_diag_i[i]; j < S_diag_i[i+1]; j++)
{
marker_diag[S_diag_j[j]] = MARK;
}
/* loop through row i of S, offd part */
if (num_procs > 1)
{
for (j = S_offd_i[i]; j < S_offd_i[i+1]; j++)
{
j1 = S_offd_j[j];
marker_offd[j1] = MARK;
}
}
fine_to_coarse[i] = -1;
/*---------------------------------------------------------------------------
* If i is an F-pt, interpolation is from the most strongly influencing C-pt
* Find this C-pt and save it
*--------------------------------------------------------------------------*/
/* if we failed to find any strong C-pt, mark this point as an 'n' */
char marker = 'n';
/* max abs val */
max_abs_aij = -1.0;
/* loop through row i of A, diag part */
for (j = A_diag_i[i]; j < A_diag_i[i+1]; j++)
{
i1 = A_diag_j[j];
vv = fabs(A_diag_data[j]);
#if 0
/* !!! this is a hack just for code verification purpose !!!
it basically says:
1. if we see |a_ij| < 1e-14, force it to be 1e-14
2. if we see |a_ij| == the max(|a_ij|) so far exactly,
replace it if the j idx is smaller
Reasons:
1. numerical round-off for eps-level values
2. entries in CSR rows may be listed in different orders
*/
vv = vv < 1e-14 ? 1e-14 : vv;
if (CF_marker[i1] >= 0 && marker_diag[i1] == MARK &&
vv == max_abs_aij && i1 < max_abs_cij[i])
{
/* mark it as a 'd' */
marker = 'd';
max_abs_cij[i] = i1;
max_abs_aij = vv;
continue;
}
#endif
/* it is a strong C-pt and has abs val larger than what have seen */
if (CF_marker[i1] >= 0 && marker_diag[i1] == MARK && vv > max_abs_aij)
{
/* mark it as a 'd' */
marker = 'd';
max_abs_cij[i] = i1;
max_abs_aij = vv;
}
}
/* offd part */
if (num_procs > 1)
{
for (j = A_offd_i[i]; j < A_offd_i[i+1]; j++)
{
i1 = A_offd_j[j];
vv = fabs(A_offd_data[j]);
if (CF_marker_offd[i1] >= 0 && marker_offd[i1] == MARK && vv > max_abs_aij)
{
/* mark it as an 'o' */
marker = 'o';
max_abs_cij[i] = i1;
max_abs_aij = vv;
}
}
}
max_abs_diag_offd[i] = marker;
if (marker == 'd')
{
cnt_diag ++;
}
else if (marker == 'o')
{
cnt_offd ++;
}
}
nnz_diag = cnt_diag + n_cpts;
nnz_offd = cnt_offd;
/*------------- allocate arrays */
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine+1,HYPRE_MEMORY_DEVICE);
P_diag_j = hypre_CTAlloc(HYPRE_Int, nnz_diag,HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, nnz_diag,HYPRE_MEMORY_DEVICE);
/* not in ``if num_procs > 1'',
* allocation needed even for empty CSR */
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine+1,HYPRE_MEMORY_DEVICE);
P_offd_j = hypre_CTAlloc(HYPRE_Int, nnz_offd,HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, nnz_offd,HYPRE_MEMORY_DEVICE);
/* redundant */
P_diag_i[0] = 0;
P_offd_i[0] = 0;
/* reset counters */
cnt_diag = 0;
cnt_offd = 0;
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
fine_to_coarse_offd = hypre_CTAlloc(HYPRE_BigInt, num_cols_A_offd,HYPRE_MEMORY_HOST);
big_int_buf_data = hypre_CTAlloc(HYPRE_BigInt, hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends),HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
{
big_int_buf_data[index++] = my_first_cpt
+(HYPRE_BigInt)fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
}
comm_handle = hypre_ParCSRCommHandleCreate(21, comm_pkg, big_int_buf_data, fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
/*-----------------------------------------------------------------------
* Second Pass: Populate P
*-----------------------------------------------------------------------*/
for (i = 0; i < n_fine; i++)
{
if (CF_marker[i] >= 0)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity.
*--------------------------------------------------------------------*/
//P_diag_j[cnt_diag] = fine_to_coarse[i] - my_first_cpt;
P_diag_j[cnt_diag] = fine_to_coarse[i];
P_diag_data[cnt_diag++] = 1.0;
}
else
{
/*---------------------------------------------------------------------------
* If i is an F-pt, interpolation is from the most strongly influencing C-pt
*--------------------------------------------------------------------------*/
if (max_abs_diag_offd[i] == 'd')
{
/* on diag part of P */
j = max_abs_cij[i];
//P_diag_j[cnt_diag] = fine_to_coarse[j] - my_first_cpt;
P_diag_j[cnt_diag] = fine_to_coarse[j];
P_diag_data[cnt_diag++] = 1.0;
}
else if (max_abs_diag_offd[i] == 'o')
{
/* on offd part of P */
j = max_abs_cij[i];
P_offd_j[cnt_offd] = j;
P_offd_data[cnt_offd++] = 1.0;
}
}
P_diag_i[i+1] = cnt_diag;
P_offd_i[i+1] = cnt_offd;
}
hypre_assert(cnt_diag == nnz_diag);
hypre_assert(cnt_offd == nnz_offd);
/* num of cols in the offd part of P */
num_cols_offd_P = 0;
/* marker_offd: all -1 */
for (i = 0; i < num_cols_A_offd; i++)
{
marker_offd[i] = -1;
}
for (i = 0; i < nnz_offd; i++)
{
i1 = P_offd_j[i];
if (marker_offd[i1] == -1)
{
num_cols_offd_P++;
marker_offd[i1] = 1;
}
}
/* col_map_offd_P: the col indices of the offd of P
* we first keep them be the offd-idx of A */
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_offd_P,HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd_P,HYPRE_MEMORY_HOST);
for (i = 0, i1 = 0; i < num_cols_A_offd; i++)
{
if (marker_offd[i] == 1)
{
tmp_map_offd[i1++] = i;
}
}
hypre_assert(i1 == num_cols_offd_P);
/* now, adjust P_offd_j to local idx w.r.t col_map_offd_R
* by searching */
for (i = 0; i < nnz_offd; i++)
{
i1 = P_offd_j[i];
k1 = hypre_BinarySearch(tmp_map_offd, i1, num_cols_offd_P);
/* search must succeed */
hypre_assert(k1 >= 0 && k1 < num_cols_offd_P);
P_offd_j[i] = k1;
}
/* change col_map_offd_P to global coarse ids */
for (i = 0; i < num_cols_offd_P; i++)
{
col_map_offd_P[i] = fine_to_coarse_offd[tmp_map_offd[i]];
}
/* Now, we should have everything of Parcsr matrix P */
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumCols(A), /* global num of rows */
total_global_cpts, /* global num of cols */
hypre_ParCSRMatrixColStarts(A), /* row_starts */
num_cpts_global, /* col_starts */
num_cols_offd_P, /* num cols offd */
nnz_diag,
nnz_offd);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
/* create CommPkg of P */
hypre_MatvecCommPkgCreate(P);
*P_ptr = P;
/* free workspace */
hypre_TFree(CF_marker_offd,HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd,HYPRE_MEMORY_HOST);
hypre_TFree(tmp_map_offd,HYPRE_MEMORY_HOST);
hypre_TFree(big_int_buf_data,HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse,HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse_offd,HYPRE_MEMORY_HOST);
hypre_TFree(marker_diag,HYPRE_MEMORY_HOST);
hypre_TFree(marker_offd,HYPRE_MEMORY_HOST);
hypre_TFree(max_abs_cij,HYPRE_MEMORY_HOST);
hypre_TFree(max_abs_diag_offd,HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
HYPRE_Int
hypre_BoomerAMGBuildInterpOnePnt( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
hypre_ParCSRMatrix **P_ptr)
{
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPushRange("OnePntInterp");
#endif
HYPRE_Int ierr = 0;
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy1( hypre_ParCSRMatrixMemoryLocation(A) );
if (exec == HYPRE_EXEC_DEVICE)
{
ierr = hypre_BoomerAMGBuildInterpOnePntDevice(A,CF_marker,S,num_cpts_global,num_functions,
dof_func,debug_flag,P_ptr);
}
else
#endif
{
ierr = hypre_BoomerAMGBuildInterpOnePntHost(A,CF_marker,S,num_cpts_global,num_functions,
dof_func,debug_flag,P_ptr);
}
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPopRange();
#endif
return ierr;
}
|
effect.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% EEEEE FFFFF FFFFF EEEEE CCCC TTTTT %
% E F F E C T %
% EEE FFF FFF EEE C T %
% E F F E C T %
% EEEEE F F EEEEE CCCC T %
% %
% %
% MagickCore Image Effects Methods %
% %
% Software Design %
% Cristy %
% October 1996 %
% %
% %
% 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 "magick/studio.h"
#include "magick/accelerate.h"
#include "magick/blob.h"
#include "magick/cache-view.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/constitute.h"
#include "magick/decorate.h"
#include "magick/distort.h"
#include "magick/draw.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/effect.h"
#include "magick/fx.h"
#include "magick/gem.h"
#include "magick/geometry.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/matrix.h"
#include "magick/memory_.h"
#include "magick/memory-private.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/montage.h"
#include "magick/morphology.h"
#include "magick/morphology-private.h"
#include "magick/opencl-private.h"
#include "magick/paint.h"
#include "magick/pixel-accessor.h"
#include "magick/pixel-private.h"
#include "magick/property.h"
#include "magick/quantize.h"
#include "magick/quantum.h"
#include "magick/random_.h"
#include "magick/random-private.h"
#include "magick/resample.h"
#include "magick/resample-private.h"
#include "magick/resize.h"
#include "magick/resource_.h"
#include "magick/segment.h"
#include "magick/shear.h"
#include "magick/signature-private.h"
#include "magick/statistic.h"
#include "magick/string_.h"
#include "magick/thread-private.h"
#include "magick/transform.h"
#include "magick/threshold.h"
#ifdef MAGICKCORE_CLPERFMARKER
#include "CLPerfMarker.h"
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A d a p t i v e B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AdaptiveBlurImage() adaptively blurs the image by blurring less
% intensely near image edges and more intensely far from edges. We blur the
% image with a Gaussian operator of the given radius and standard deviation
% (sigma). For reasonable results, radius should be larger than sigma. Use a
% radius of 0 and AdaptiveBlurImage() selects a suitable radius for you.
%
% The format of the AdaptiveBlurImage method is:
%
% Image *AdaptiveBlurImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
% Image *AdaptiveBlurImageChannel(const Image *image,
% const ChannelType channel,double radius,const double sigma,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Laplacian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AdaptiveBlurImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
Image
*blur_image;
blur_image=AdaptiveBlurImageChannel(image,DefaultChannels,radius,sigma,
exception);
return(blur_image);
}
MagickExport Image *AdaptiveBlurImageChannel(const Image *image,
const ChannelType channel,const double radius,const double sigma,
ExceptionInfo *exception)
{
#define AdaptiveBlurImageTag "Convolve/Image"
#define MagickSigma (fabs(sigma) < MagickEpsilon ? MagickEpsilon : sigma)
CacheView
*blur_view,
*edge_view,
*image_view;
double
**kernel,
normalize;
Image
*blur_image,
*edge_image,
*gaussian_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
bias;
register ssize_t
i;
size_t
width;
ssize_t
j,
k,
u,
v,
y;
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);
blur_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if (blur_image == (Image *) NULL)
return((Image *) NULL);
if (fabs(sigma) <= MagickEpsilon)
return(blur_image);
if (SetImageStorageClass(blur_image,DirectClass) == MagickFalse)
{
InheritException(exception,&blur_image->exception);
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
/*
Edge detect the image brighness channel, level, blur, and level again.
*/
edge_image=EdgeImage(image,radius,exception);
if (edge_image == (Image *) NULL)
{
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
(void) AutoLevelImage(edge_image);
gaussian_image=BlurImage(edge_image,radius,sigma,exception);
if (gaussian_image != (Image *) NULL)
{
edge_image=DestroyImage(edge_image);
edge_image=gaussian_image;
}
(void) AutoLevelImage(edge_image);
/*
Create a set of kernels from maximum (radius,sigma) to minimum.
*/
width=GetOptimalKernelWidth2D(radius,sigma);
kernel=(double **) MagickAssumeAligned(AcquireAlignedMemory((size_t) width,
sizeof(*kernel)));
if (kernel == (double **) NULL)
{
edge_image=DestroyImage(edge_image);
blur_image=DestroyImage(blur_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
(void) ResetMagickMemory(kernel,0,(size_t) width*sizeof(*kernel));
for (i=0; i < (ssize_t) width; i+=2)
{
kernel[i]=(double *) MagickAssumeAligned(AcquireAlignedMemory((size_t)
(width-i),(width-i)*sizeof(**kernel)));
if (kernel[i] == (double *) NULL)
break;
normalize=0.0;
j=(ssize_t) (width-i)/2;
k=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
{
kernel[i][k]=(double) (exp(-((double) u*u+v*v)/(2.0*MagickSigma*
MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
normalize+=kernel[i][k];
k++;
}
}
kernel[i][(k-1)/2]+=(1.0-normalize);
if (sigma < MagickEpsilon)
kernel[i][(k-1)/2]=1.0;
}
if (i < (ssize_t) width)
{
for (i-=2; i >= 0; i-=2)
kernel[i]=(double *) RelinquishAlignedMemory(kernel[i]);
kernel=(double **) RelinquishAlignedMemory(kernel);
edge_image=DestroyImage(edge_image);
blur_image=DestroyImage(blur_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Adaptively blur image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(image,&bias);
SetMagickPixelPacketBias(image,&bias);
image_view=AcquireVirtualCacheView(image,exception);
edge_view=AcquireVirtualCacheView(edge_image,exception);
blur_view=AcquireAuthenticCacheView(blur_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,blur_image,blur_image->rows,1)
#endif
for (y=0; y < (ssize_t) blur_image->rows; y++)
{
register const IndexPacket
*restrict indexes;
register const PixelPacket
*restrict p,
*restrict r;
register IndexPacket
*restrict blur_indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
r=GetCacheViewVirtualPixels(edge_view,0,y,edge_image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
exception);
if ((r == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
blur_indexes=GetCacheViewAuthenticIndexQueue(blur_view);
for (x=0; x < (ssize_t) blur_image->columns; x++)
{
double
alpha,
gamma;
DoublePixelPacket
pixel;
register const double
*restrict k;
register ssize_t
i,
u,
v;
gamma=0.0;
i=(ssize_t) ceil((double) width*QuantumScale*
GetPixelIntensity(edge_image,r)-0.5);
if (i < 0)
i=0;
else
if (i > (ssize_t) width)
i=(ssize_t) width;
if ((i & 0x01) != 0)
i--;
p=GetCacheViewVirtualPixels(image_view,x-((ssize_t) (width-i)/2L),y-
(ssize_t) ((width-i)/2L),width-i,width-i,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
pixel.red=bias.red;
pixel.green=bias.green;
pixel.blue=bias.blue;
pixel.opacity=bias.opacity;
pixel.index=bias.index;
k=kernel[i];
for (v=0; v < (ssize_t) (width-i); v++)
{
for (u=0; u < (ssize_t) (width-i); u++)
{
alpha=1.0;
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
alpha=(MagickRealType) (QuantumScale*GetPixelAlpha(p));
if ((channel & RedChannel) != 0)
pixel.red+=(*k)*alpha*GetPixelRed(p);
if ((channel & GreenChannel) != 0)
pixel.green+=(*k)*alpha*GetPixelGreen(p);
if ((channel & BlueChannel) != 0)
pixel.blue+=(*k)*alpha*GetPixelBlue(p);
if ((channel & OpacityChannel) != 0)
pixel.opacity+=(*k)*GetPixelOpacity(p);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
pixel.index+=(*k)*alpha*GetPixelIndex(indexes+x+(width-i)*v+u);
gamma+=(*k)*alpha;
k++;
p++;
}
}
gamma=PerceptibleReciprocal(gamma);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(gamma*pixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(gamma*pixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(gamma*pixel.blue));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(pixel.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(blur_indexes+x,ClampToQuantum(gamma*pixel.index));
q++;
r++;
}
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_AdaptiveBlurImageChannel)
#endif
proceed=SetImageProgress(image,AdaptiveBlurImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
blur_image->type=image->type;
blur_view=DestroyCacheView(blur_view);
edge_view=DestroyCacheView(edge_view);
image_view=DestroyCacheView(image_view);
edge_image=DestroyImage(edge_image);
for (i=0; i < (ssize_t) width; i+=2)
kernel[i]=(double *) RelinquishAlignedMemory(kernel[i]);
kernel=(double **) RelinquishAlignedMemory(kernel);
if (status == MagickFalse)
blur_image=DestroyImage(blur_image);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A d a p t i v e S h a r p e n I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AdaptiveSharpenImage() adaptively sharpens the image by sharpening more
% intensely near image edges and less intensely far from edges. We sharpen the
% image with a Gaussian operator of the given radius and standard deviation
% (sigma). For reasonable results, radius should be larger than sigma. Use a
% radius of 0 and AdaptiveSharpenImage() selects a suitable radius for you.
%
% The format of the AdaptiveSharpenImage method is:
%
% Image *AdaptiveSharpenImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
% Image *AdaptiveSharpenImageChannel(const Image *image,
% const ChannelType channel,double radius,const double sigma,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Laplacian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AdaptiveSharpenImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
Image
*sharp_image;
sharp_image=AdaptiveSharpenImageChannel(image,DefaultChannels,radius,sigma,
exception);
return(sharp_image);
}
MagickExport Image *AdaptiveSharpenImageChannel(const Image *image,
const ChannelType channel,const double radius,const double sigma,
ExceptionInfo *exception)
{
#define AdaptiveSharpenImageTag "Convolve/Image"
#define MagickSigma (fabs(sigma) < MagickEpsilon ? MagickEpsilon : sigma)
CacheView
*sharp_view,
*edge_view,
*image_view;
double
**kernel,
normalize;
Image
*sharp_image,
*edge_image,
*gaussian_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
bias;
register ssize_t
i;
size_t
width;
ssize_t
j,
k,
u,
v,
y;
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);
sharp_image=CloneImage(image,0,0,MagickTrue,exception);
if (sharp_image == (Image *) NULL)
return((Image *) NULL);
if (fabs(sigma) <= MagickEpsilon)
return(sharp_image);
if (SetImageStorageClass(sharp_image,DirectClass) == MagickFalse)
{
InheritException(exception,&sharp_image->exception);
sharp_image=DestroyImage(sharp_image);
return((Image *) NULL);
}
/*
Edge detect the image brighness channel, level, sharp, and level again.
*/
edge_image=EdgeImage(image,radius,exception);
if (edge_image == (Image *) NULL)
{
sharp_image=DestroyImage(sharp_image);
return((Image *) NULL);
}
(void) AutoLevelImage(edge_image);
gaussian_image=BlurImage(edge_image,radius,sigma,exception);
if (gaussian_image != (Image *) NULL)
{
edge_image=DestroyImage(edge_image);
edge_image=gaussian_image;
}
(void) AutoLevelImage(edge_image);
/*
Create a set of kernels from maximum (radius,sigma) to minimum.
*/
width=GetOptimalKernelWidth2D(radius,sigma);
kernel=(double **) MagickAssumeAligned(AcquireAlignedMemory((size_t) width,
sizeof(*kernel)));
if (kernel == (double **) NULL)
{
edge_image=DestroyImage(edge_image);
sharp_image=DestroyImage(sharp_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
(void) ResetMagickMemory(kernel,0,(size_t) width*sizeof(*kernel));
for (i=0; i < (ssize_t) width; i+=2)
{
kernel[i]=(double *) MagickAssumeAligned(AcquireAlignedMemory((size_t)
(width-i),(width-i)*sizeof(**kernel)));
if (kernel[i] == (double *) NULL)
break;
normalize=0.0;
j=(ssize_t) (width-i-1)/2;
k=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
{
kernel[i][k]=(double) (-exp(-((double) u*u+v*v)/(2.0*MagickSigma*
MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
normalize+=kernel[i][k];
k++;
}
}
kernel[i][(k-1)/2]=(double) ((-2.0)*normalize);
if (sigma < MagickEpsilon)
kernel[i][(k-1)/2]=1.0;
}
if (i < (ssize_t) width)
{
for (i-=2; i >= 0; i-=2)
kernel[i]=(double *) RelinquishAlignedMemory(kernel[i]);
kernel=(double **) RelinquishAlignedMemory(kernel);
edge_image=DestroyImage(edge_image);
sharp_image=DestroyImage(sharp_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Adaptively sharpen image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(image,&bias);
SetMagickPixelPacketBias(image,&bias);
image_view=AcquireVirtualCacheView(image,exception);
edge_view=AcquireVirtualCacheView(edge_image,exception);
sharp_view=AcquireAuthenticCacheView(sharp_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,sharp_image,sharp_image->rows,1)
#endif
for (y=0; y < (ssize_t) sharp_image->rows; y++)
{
register const IndexPacket
*restrict indexes;
register const PixelPacket
*restrict p,
*restrict r;
register IndexPacket
*restrict sharp_indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
r=GetCacheViewVirtualPixels(edge_view,0,y,edge_image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(sharp_view,0,y,sharp_image->columns,1,
exception);
if ((r == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
sharp_indexes=GetCacheViewAuthenticIndexQueue(sharp_view);
for (x=0; x < (ssize_t) sharp_image->columns; x++)
{
double
alpha,
gamma;
DoublePixelPacket
pixel;
register const double
*restrict k;
register ssize_t
i,
u,
v;
gamma=0.0;
i=(ssize_t) ceil((double) width*(1.0-QuantumScale*
GetPixelIntensity(edge_image,r))-0.5);
if (i < 0)
i=0;
else
if (i > (ssize_t) width)
i=(ssize_t) width;
if ((i & 0x01) != 0)
i--;
p=GetCacheViewVirtualPixels(image_view,x-((ssize_t) (width-i)/2L),y-
(ssize_t) ((width-i)/2L),width-i,width-i,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
k=kernel[i];
pixel.red=bias.red;
pixel.green=bias.green;
pixel.blue=bias.blue;
pixel.opacity=bias.opacity;
pixel.index=bias.index;
for (v=0; v < (ssize_t) (width-i); v++)
{
for (u=0; u < (ssize_t) (width-i); u++)
{
alpha=1.0;
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
alpha=(MagickRealType) (QuantumScale*GetPixelAlpha(p));
if ((channel & RedChannel) != 0)
pixel.red+=(*k)*alpha*GetPixelRed(p);
if ((channel & GreenChannel) != 0)
pixel.green+=(*k)*alpha*GetPixelGreen(p);
if ((channel & BlueChannel) != 0)
pixel.blue+=(*k)*alpha*GetPixelBlue(p);
if ((channel & OpacityChannel) != 0)
pixel.opacity+=(*k)*GetPixelOpacity(p);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
pixel.index+=(*k)*alpha*GetPixelIndex(indexes+x+(width-i)*v+u);
gamma+=(*k)*alpha;
k++;
p++;
}
}
gamma=PerceptibleReciprocal(gamma);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(gamma*pixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(gamma*pixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(gamma*pixel.blue));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(pixel.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(sharp_indexes+x,ClampToQuantum(gamma*pixel.index));
q++;
r++;
}
if (SyncCacheViewAuthenticPixels(sharp_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_AdaptiveSharpenImageChannel)
#endif
proceed=SetImageProgress(image,AdaptiveSharpenImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
sharp_image->type=image->type;
sharp_view=DestroyCacheView(sharp_view);
edge_view=DestroyCacheView(edge_view);
image_view=DestroyCacheView(image_view);
edge_image=DestroyImage(edge_image);
for (i=0; i < (ssize_t) width; i+=2)
kernel[i]=(double *) RelinquishAlignedMemory(kernel[i]);
kernel=(double **) RelinquishAlignedMemory(kernel);
if (status == MagickFalse)
sharp_image=DestroyImage(sharp_image);
return(sharp_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BlurImage() blurs an image. We convolve the image with a Gaussian operator
% of the given radius and standard deviation (sigma). For reasonable results,
% the radius should be larger than sigma. Use a radius of 0 and BlurImage()
% selects a suitable radius for you.
%
% The format of the BlurImage method is:
%
% Image *BlurImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
% Image *BlurImageChannel(const Image *image,const ChannelType channel,
% const double radius,const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *BlurImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
Image
*blur_image;
blur_image=BlurImageChannel(image,DefaultChannels,radius,sigma,exception);
return(blur_image);
}
MagickExport Image *BlurImageChannel(const Image *image,
const ChannelType channel,const double radius,const double sigma,
ExceptionInfo *exception)
{
char
geometry[MaxTextExtent];
KernelInfo
*kernel_info;
Image
*blur_image = NULL;
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);
blur_image=AccelerateBlurImage(image,channel,radius,sigma,exception);
if (blur_image != (Image *) NULL)
return(blur_image);
(void) FormatLocaleString(geometry,MaxTextExtent,
"blur:%.20gx%.20g;blur:%.20gx%.20g+90",radius,sigma,radius,sigma);
kernel_info=AcquireKernelInfo(geometry);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
blur_image=MorphologyApply(image,channel,ConvolveMorphology,1,kernel_info,
UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n v o l v e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConvolveImage() applies a custom convolution kernel to the image.
%
% The format of the ConvolveImage method is:
%
% Image *ConvolveImage(const Image *image,const size_t order,
% const double *kernel,ExceptionInfo *exception)
% Image *ConvolveImageChannel(const Image *image,const ChannelType channel,
% const size_t order,const double *kernel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o order: the number of columns and rows in the filter kernel.
%
% o kernel: An array of double representing the convolution kernel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ConvolveImage(const Image *image,const size_t order,
const double *kernel,ExceptionInfo *exception)
{
Image
*convolve_image;
#ifdef MAGICKCORE_CLPERFMARKER
clBeginPerfMarkerAMD(__FUNCTION__,"");
#endif
convolve_image=ConvolveImageChannel(image,DefaultChannels,order,kernel,
exception);
#ifdef MAGICKCORE_CLPERFMARKER
clEndPerfMarkerAMD();
#endif
return(convolve_image);
}
MagickExport Image *ConvolveImageChannel(const Image *image,
const ChannelType channel,const size_t order,const double *kernel,
ExceptionInfo *exception)
{
Image
*convolve_image;
KernelInfo
*kernel_info;
register ssize_t
i;
kernel_info=AcquireKernelInfo((const char *) NULL);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
kernel_info->width=order;
kernel_info->height=order;
kernel_info->x=(ssize_t) (order-1)/2;
kernel_info->y=(ssize_t) (order-1)/2;
kernel_info->signature=MagickSignature;
kernel_info->values=(double *) MagickAssumeAligned(AcquireAlignedMemory(
kernel_info->width,kernel_info->width*sizeof(*kernel_info->values)));
if (kernel_info->values == (double *) NULL)
{
kernel_info=DestroyKernelInfo(kernel_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
for (i=0; i < (ssize_t) (order*order); i++)
kernel_info->values[i]=kernel[i];
convolve_image=AccelerateConvolveImageChannel(image,channel,kernel_info,
exception);
if (convolve_image == (Image *) NULL)
convolve_image=MorphologyApply(image,channel,ConvolveMorphology,1,
kernel_info,UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
return(convolve_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s p e c k l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DespeckleImage() reduces the speckle noise in an image while perserving the
% edges of the original image. A speckle removing filter uses a complementary
% hulling technique (raising pixels that are darker than their surrounding
% neighbors, then complementarily lowering pixels that are brighter than their
% surrounding neighbors) to reduce the speckle index of that image (reference
% Crimmins speckle removal).
%
% The format of the DespeckleImage method is:
%
% Image *DespeckleImage(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.
%
*/
static void Hull(const Image *image,const ssize_t x_offset,
const ssize_t y_offset,const size_t columns,const size_t rows,
const int polarity,Quantum *restrict f,Quantum *restrict g)
{
register Quantum
*p,
*q,
*r,
*s;
ssize_t
y;
assert(f != (Quantum *) NULL);
assert(g != (Quantum *) NULL);
p=f+(columns+2);
q=g+(columns+2);
r=p+(y_offset*(columns+2)+x_offset);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) \
magick_threads(image,image,1,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
register ssize_t
i,
x;
SignedQuantum
v;
i=(2*y+1)+y*columns;
if (polarity > 0)
for (x=0; x < (ssize_t) columns; x++)
{
v=(SignedQuantum) p[i];
if ((SignedQuantum) r[i] >= (v+ScaleCharToQuantum(2)))
v+=ScaleCharToQuantum(1);
q[i]=(Quantum) v;
i++;
}
else
for (x=0; x < (ssize_t) columns; x++)
{
v=(SignedQuantum) p[i];
if ((SignedQuantum) r[i] <= (v-ScaleCharToQuantum(2)))
v-=ScaleCharToQuantum(1);
q[i]=(Quantum) v;
i++;
}
}
p=f+(columns+2);
q=g+(columns+2);
r=q+(y_offset*(columns+2)+x_offset);
s=q-(y_offset*(columns+2)+x_offset);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) \
magick_threads(image,image,1,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
register ssize_t
i,
x;
SignedQuantum
v;
i=(2*y+1)+y*columns;
if (polarity > 0)
for (x=0; x < (ssize_t) columns; x++)
{
v=(SignedQuantum) q[i];
if (((SignedQuantum) s[i] >= (v+ScaleCharToQuantum(2))) &&
((SignedQuantum) r[i] > v))
v+=ScaleCharToQuantum(1);
p[i]=(Quantum) v;
i++;
}
else
for (x=0; x < (ssize_t) columns; x++)
{
v=(SignedQuantum) q[i];
if (((SignedQuantum) s[i] <= (v-ScaleCharToQuantum(2))) &&
((SignedQuantum) r[i] < v))
v-=ScaleCharToQuantum(1);
p[i]=(Quantum) v;
i++;
}
}
}
MagickExport Image *DespeckleImage(const Image *image,ExceptionInfo *exception)
{
#define DespeckleImageTag "Despeckle/Image"
CacheView
*despeckle_view,
*image_view;
Image
*despeckle_image;
MagickBooleanType
status;
MemoryInfo
*buffer_info,
*pixel_info;
register ssize_t
i;
Quantum
*restrict buffer,
*restrict pixels;
size_t
length,
number_channels;
static const ssize_t
X[4] = {0, 1, 1,-1},
Y[4] = {1, 0, 1, 1};
/*
Allocate despeckled image.
*/
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);
despeckle_image=AccelerateDespeckleImage(image, exception);
if (despeckle_image != (Image *) NULL)
return(despeckle_image);
despeckle_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (despeckle_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(despeckle_image,DirectClass) == MagickFalse)
{
InheritException(exception,&despeckle_image->exception);
despeckle_image=DestroyImage(despeckle_image);
return((Image *) NULL);
}
/*
Allocate image buffer.
*/
length=(size_t) ((image->columns+2)*(image->rows+2));
pixel_info=AcquireVirtualMemory(length,sizeof(*pixels));
buffer_info=AcquireVirtualMemory(length,sizeof(*buffer));
if ((pixel_info == (MemoryInfo *) NULL) ||
(buffer_info == (MemoryInfo *) NULL))
{
if (buffer_info != (MemoryInfo *) NULL)
buffer_info=RelinquishVirtualMemory(buffer_info);
if (pixel_info != (MemoryInfo *) NULL)
pixel_info=RelinquishVirtualMemory(pixel_info);
despeckle_image=DestroyImage(despeckle_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
pixels=(Quantum *) GetVirtualMemoryBlob(pixel_info);
buffer=(Quantum *) GetVirtualMemoryBlob(buffer_info);
/*
Reduce speckle in the image.
*/
status=MagickTrue;
number_channels=(size_t) (image->colorspace == CMYKColorspace ? 5 : 4);
image_view=AcquireVirtualCacheView(image,exception);
despeckle_view=AcquireAuthenticCacheView(despeckle_image,exception);
for (i=0; i < (ssize_t) number_channels; i++)
{
register ssize_t
k,
x;
ssize_t
j,
y;
if (status == MagickFalse)
continue;
if ((image->matte == MagickFalse) && (i == 3))
continue;
(void) ResetMagickMemory(pixels,0,length*sizeof(*pixels));
j=(ssize_t) image->columns+2;
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*restrict indexes;
register const PixelPacket
*restrict p;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
j++;
for (x=0; x < (ssize_t) image->columns; x++)
{
switch (i)
{
case 0: pixels[j]=GetPixelRed(p); break;
case 1: pixels[j]=GetPixelGreen(p); break;
case 2: pixels[j]=GetPixelBlue(p); break;
case 3: pixels[j]=GetPixelOpacity(p); break;
case 4: pixels[j]=GetPixelBlack(indexes+x); break;
default: break;
}
p++;
j++;
}
j++;
}
(void) ResetMagickMemory(buffer,0,length*sizeof(*buffer));
for (k=0; k < 4; k++)
{
Hull(image,X[k],Y[k],image->columns,image->rows,1,pixels,buffer);
Hull(image,-X[k],-Y[k],image->columns,image->rows,1,pixels,buffer);
Hull(image,-X[k],-Y[k],image->columns,image->rows,-1,pixels,buffer);
Hull(image,X[k],Y[k],image->columns,image->rows,-1,pixels,buffer);
}
j=(ssize_t) image->columns+2;
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register IndexPacket
*restrict indexes;
register PixelPacket
*restrict q;
q=GetCacheViewAuthenticPixels(despeckle_view,0,y,despeckle_image->columns,
1,exception);
if (q == (PixelPacket *) NULL)
break;
indexes=GetCacheViewAuthenticIndexQueue(despeckle_view);
j++;
for (x=0; x < (ssize_t) image->columns; x++)
{
switch (i)
{
case 0: SetPixelRed(q,pixels[j]); break;
case 1: SetPixelGreen(q,pixels[j]); break;
case 2: SetPixelBlue(q,pixels[j]); break;
case 3: SetPixelOpacity(q,pixels[j]); break;
case 4: SetPixelIndex(indexes+x,pixels[j]); break;
default: break;
}
q++;
j++;
}
sync=SyncCacheViewAuthenticPixels(despeckle_view,exception);
if (sync == MagickFalse)
{
status=MagickFalse;
break;
}
j++;
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,DespeckleImageTag,(MagickOffsetType) i,
number_channels);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
despeckle_view=DestroyCacheView(despeckle_view);
image_view=DestroyCacheView(image_view);
buffer_info=RelinquishVirtualMemory(buffer_info);
pixel_info=RelinquishVirtualMemory(pixel_info);
despeckle_image->type=image->type;
if (status == MagickFalse)
despeckle_image=DestroyImage(despeckle_image);
return(despeckle_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E d g e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EdgeImage() finds edges in an image. Radius defines the radius of the
% convolution filter. Use a radius of 0 and EdgeImage() selects a suitable
% radius for you.
%
% The format of the EdgeImage method is:
%
% Image *EdgeImage(const Image *image,const double radius,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *EdgeImage(const Image *image,const double radius,
ExceptionInfo *exception)
{
Image
*edge_image;
KernelInfo
*kernel_info;
register ssize_t
i;
size_t
width;
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);
width=GetOptimalKernelWidth1D(radius,0.5);
kernel_info=AcquireKernelInfo((const char *) NULL);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
(void) ResetMagickMemory(kernel_info,0,sizeof(*kernel_info));
kernel_info->width=width;
kernel_info->height=width;
kernel_info->x=(ssize_t) (kernel_info->width-1)/2;
kernel_info->y=(ssize_t) (kernel_info->height-1)/2;
kernel_info->signature=MagickSignature;
kernel_info->values=(double *) MagickAssumeAligned(AcquireAlignedMemory(
kernel_info->width,kernel_info->height*sizeof(*kernel_info->values)));
if (kernel_info->values == (double *) NULL)
{
kernel_info=DestroyKernelInfo(kernel_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
kernel_info->values[i]=(-1.0);
kernel_info->values[i/2]=(double) kernel_info->width*kernel_info->height-1.0;
edge_image=AccelerateConvolveImageChannel(image,DefaultChannels,kernel_info,
exception);
if (edge_image == (Image *) NULL)
edge_image=MorphologyApply(image,DefaultChannels,ConvolveMorphology,1,
kernel_info,UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
return(edge_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E m b o s s I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EmbossImage() returns a grayscale image with a three-dimensional effect.
% We convolve the image with a Gaussian operator of the given radius and
% standard deviation (sigma). For reasonable results, radius should be
% larger than sigma. Use a radius of 0 and Emboss() selects a suitable
% radius for you.
%
% The format of the EmbossImage method is:
%
% Image *EmbossImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *EmbossImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
double
gamma,
normalize;
Image
*emboss_image;
KernelInfo
*kernel_info;
register ssize_t
i;
size_t
width;
ssize_t
j,
k,
u,
v;
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);
width=GetOptimalKernelWidth1D(radius,sigma);
kernel_info=AcquireKernelInfo((const char *) NULL);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
kernel_info->width=width;
kernel_info->height=width;
kernel_info->x=(ssize_t) (width-1)/2;
kernel_info->y=(ssize_t) (width-1)/2;
kernel_info->values=(double *) MagickAssumeAligned(AcquireAlignedMemory(
kernel_info->width,kernel_info->width*sizeof(*kernel_info->values)));
if (kernel_info->values == (double *) NULL)
{
kernel_info=DestroyKernelInfo(kernel_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
j=(ssize_t) (kernel_info->width-1)/2;
k=j;
i=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
{
kernel_info->values[i]=(double) (((u < 0) || (v < 0) ? -8.0 :
8.0)*exp(-((double) u*u+v*v)/(2.0*MagickSigma*MagickSigma))/
(2.0*MagickPI*MagickSigma*MagickSigma));
if (u != k)
kernel_info->values[i]=0.0;
i++;
}
k--;
}
normalize=0.0;
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
normalize+=kernel_info->values[i];
gamma=PerceptibleReciprocal(normalize);
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
kernel_info->values[i]*=gamma;
emboss_image=AccelerateConvolveImageChannel(image,DefaultChannels,kernel_info, exception);
if (emboss_image == (Image *) NULL)
emboss_image=MorphologyApply(image,DefaultChannels,ConvolveMorphology,1,
kernel_info,UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
if (emboss_image != (Image *) NULL)
(void) EqualizeImageChannel(emboss_image,(ChannelType)
(AllChannels &~ SyncChannels));
return(emboss_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F i l t e r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FilterImage() applies a custom convolution kernel to the image.
%
% The format of the FilterImage method is:
%
% Image *FilterImage(const Image *image,const KernelInfo *kernel,
% ExceptionInfo *exception)
% Image *FilterImageChannel(const Image *image,const ChannelType channel,
% const KernelInfo *kernel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o kernel: the filtering kernel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *FilterImage(const Image *image,const KernelInfo *kernel,
ExceptionInfo *exception)
{
Image
*filter_image;
filter_image=FilterImageChannel(image,DefaultChannels,kernel,exception);
return(filter_image);
}
MagickExport Image *FilterImageChannel(const Image *image,
const ChannelType channel,const KernelInfo *kernel,ExceptionInfo *exception)
{
#define FilterImageTag "Filter/Image"
CacheView
*filter_view,
*image_view;
Image
*filter_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
bias;
MagickRealType
*filter_kernel;
register ssize_t
i;
ssize_t
y;
#ifdef MAGICKCORE_CLPERFMARKER
clBeginPerfMarkerAMD(__FUNCTION__,"");
#endif
/*
Initialize filter 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);
if ((kernel->width % 2) == 0)
ThrowImageException(OptionError,"KernelWidthMustBeAnOddNumber");
if (image->debug != MagickFalse)
{
char
format[MaxTextExtent],
*message;
register const double
*k;
ssize_t
u,
v;
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" FilterImage with %.20gx%.20g kernel:",(double) kernel->width,(double)
kernel->height);
message=AcquireString("");
k=kernel->values;
for (v=0; v < (ssize_t) kernel->height; v++)
{
*message='\0';
(void) FormatLocaleString(format,MaxTextExtent,"%.20g: ",(double) v);
(void) ConcatenateString(&message,format);
for (u=0; u < (ssize_t) kernel->width; u++)
{
(void) FormatLocaleString(format,MaxTextExtent,"%g ",*k++);
(void) ConcatenateString(&message,format);
}
(void) LogMagickEvent(TransformEvent,GetMagickModule(),"%s",message);
}
message=DestroyString(message);
}
filter_image=AccelerateConvolveImageChannel(image,channel,kernel,exception);
if (filter_image != (Image *) NULL)
{
#ifdef MAGICKCORE_CLPERFMARKER
clEndPerfMarkerAMD();
#endif
return(filter_image);
}
filter_image=CloneImage(image,0,0,MagickTrue,exception);
if (filter_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(filter_image,DirectClass) == MagickFalse)
{
InheritException(exception,&filter_image->exception);
filter_image=DestroyImage(filter_image);
return((Image *) NULL);
}
/*
Normalize kernel.
*/
filter_kernel=(MagickRealType *) MagickAssumeAligned(AcquireAlignedMemory(
kernel->width,kernel->width*sizeof(*filter_kernel)));
if (filter_kernel == (MagickRealType *) NULL)
{
filter_image=DestroyImage(filter_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
for (i=0; i < (ssize_t) (kernel->width*kernel->width); i++)
filter_kernel[i]=(MagickRealType) kernel->values[i];
/*
Filter image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(image,&bias);
SetMagickPixelPacketBias(image,&bias);
image_view=AcquireVirtualCacheView(image,exception);
filter_view=AcquireAuthenticCacheView(filter_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,filter_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register const IndexPacket
*restrict indexes;
register const PixelPacket
*restrict p;
register IndexPacket
*restrict filter_indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-((ssize_t) (kernel->width-1)/2L),y-
(ssize_t) ((kernel->height-1)/2L),image->columns+kernel->width,
kernel->height,exception);
q=GetCacheViewAuthenticPixels(filter_view,0,y,filter_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
filter_indexes=GetCacheViewAuthenticIndexQueue(filter_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
DoublePixelPacket
pixel;
register const MagickRealType
*restrict k;
register const PixelPacket
*restrict kernel_pixels;
register ssize_t
u;
ssize_t
v;
pixel.red=bias.red;
pixel.green=bias.green;
pixel.blue=bias.blue;
pixel.opacity=bias.opacity;
pixel.index=bias.index;
k=filter_kernel;
kernel_pixels=p;
if (((channel & OpacityChannel) == 0) || (image->matte == MagickFalse))
{
for (v=0; v < (ssize_t) kernel->width; v++)
{
for (u=0; u < (ssize_t) kernel->height; u++)
{
pixel.red+=(*k)*kernel_pixels[u].red;
pixel.green+=(*k)*kernel_pixels[u].green;
pixel.blue+=(*k)*kernel_pixels[u].blue;
k++;
}
kernel_pixels+=image->columns+kernel->width;
}
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(pixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(pixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(pixel.blue));
if ((channel & OpacityChannel) != 0)
{
k=filter_kernel;
kernel_pixels=p;
for (v=0; v < (ssize_t) kernel->width; v++)
{
for (u=0; u < (ssize_t) kernel->height; u++)
{
pixel.opacity+=(*k)*kernel_pixels[u].opacity;
k++;
}
kernel_pixels+=image->columns+kernel->width;
}
SetPixelOpacity(q,ClampToQuantum(pixel.opacity));
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
register const IndexPacket
*restrict kernel_indexes;
k=filter_kernel;
kernel_indexes=indexes;
for (v=0; v < (ssize_t) kernel->width; v++)
{
for (u=0; u < (ssize_t) kernel->height; u++)
{
pixel.index+=(*k)*GetPixelIndex(kernel_indexes+u);
k++;
}
kernel_indexes+=image->columns+kernel->width;
}
SetPixelIndex(filter_indexes+x,ClampToQuantum(pixel.index));
}
}
else
{
double
alpha,
gamma;
gamma=0.0;
for (v=0; v < (ssize_t) kernel->width; v++)
{
for (u=0; u < (ssize_t) kernel->height; u++)
{
alpha=(MagickRealType) (QuantumScale*(QuantumRange-
GetPixelOpacity(kernel_pixels+u)));
pixel.red+=(*k)*alpha*GetPixelRed(kernel_pixels+u);
pixel.green+=(*k)*alpha*GetPixelGreen(kernel_pixels+u);
pixel.blue+=(*k)*alpha*GetPixelBlue(kernel_pixels+u);
gamma+=(*k)*alpha;
k++;
}
kernel_pixels+=image->columns+kernel->width;
}
gamma=PerceptibleReciprocal(gamma);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(gamma*pixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(gamma*pixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(gamma*pixel.blue));
if ((channel & OpacityChannel) != 0)
{
k=filter_kernel;
kernel_pixels=p;
for (v=0; v < (ssize_t) kernel->width; v++)
{
for (u=0; u < (ssize_t) kernel->height; u++)
{
pixel.opacity+=(*k)*GetPixelOpacity(kernel_pixels+u);
k++;
}
kernel_pixels+=image->columns+kernel->width;
}
SetPixelOpacity(q,ClampToQuantum(pixel.opacity));
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
register const IndexPacket
*restrict kernel_indexes;
k=filter_kernel;
kernel_pixels=p;
kernel_indexes=indexes;
for (v=0; v < (ssize_t) kernel->width; v++)
{
for (u=0; u < (ssize_t) kernel->height; u++)
{
alpha=(MagickRealType) (QuantumScale*(QuantumRange-
kernel_pixels[u].opacity));
pixel.index+=(*k)*alpha*GetPixelIndex(kernel_indexes+u);
k++;
}
kernel_pixels+=image->columns+kernel->width;
kernel_indexes+=image->columns+kernel->width;
}
SetPixelIndex(filter_indexes+x,ClampToQuantum(gamma*pixel.index));
}
}
indexes++;
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(filter_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_FilterImageChannel)
#endif
proceed=SetImageProgress(image,FilterImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
filter_image->type=image->type;
filter_view=DestroyCacheView(filter_view);
image_view=DestroyCacheView(image_view);
filter_kernel=(MagickRealType *) RelinquishAlignedMemory(filter_kernel);
if (status == MagickFalse)
filter_image=DestroyImage(filter_image);
#ifdef MAGICKCORE_CLPERFMARKER
clEndPerfMarkerAMD();
#endif
return(filter_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G a u s s i a n B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GaussianBlurImage() blurs an image. We convolve the image with a
% Gaussian operator of the given radius and standard deviation (sigma).
% For reasonable results, the radius should be larger than sigma. Use a
% radius of 0 and GaussianBlurImage() selects a suitable radius for you
%
% The format of the GaussianBlurImage method is:
%
% Image *GaussianBlurImage(const Image *image,onst double radius,
% const double sigma,ExceptionInfo *exception)
% Image *GaussianBlurImageChannel(const Image *image,
% const ChannelType channel,const double radius,const double sigma,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *GaussianBlurImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
Image
*blur_image;
blur_image=GaussianBlurImageChannel(image,DefaultChannels,radius,sigma,
exception);
return(blur_image);
}
MagickExport Image *GaussianBlurImageChannel(const Image *image,
const ChannelType channel,const double radius,const double sigma,
ExceptionInfo *exception)
{
char
geometry[MaxTextExtent];
KernelInfo
*kernel_info;
Image
*blur_image;
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);
(void) FormatLocaleString(geometry,MaxTextExtent,"gaussian:%.20gx%.20g",
radius,sigma);
kernel_info=AcquireKernelInfo(geometry);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
blur_image=AccelerateConvolveImageChannel(image,channel,kernel_info,
exception);
if (blur_image == (Image *) NULL)
blur_image=MorphologyApply(image,channel,ConvolveMorphology,1,kernel_info,
UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o t i o n B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MotionBlurImage() simulates motion blur. We convolve the image with a
% Gaussian operator of the given radius and standard deviation (sigma).
% For reasonable results, radius should be larger than sigma. Use a
% radius of 0 and MotionBlurImage() selects a suitable radius for you.
% Angle gives the angle of the blurring motion.
%
% Andrew Protano contributed this effect.
%
% The format of the MotionBlurImage method is:
%
% Image *MotionBlurImage(const Image *image,const double radius,
% const double sigma,const double angle,ExceptionInfo *exception)
% Image *MotionBlurImageChannel(const Image *image,const ChannelType channel,
% const double radius,const double sigma,const double angle,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o angle: Apply the effect along this angle.
%
% o exception: return any errors or warnings in this structure.
%
*/
static double *GetMotionBlurKernel(const size_t width,const double sigma)
{
double
*kernel,
normalize;
register ssize_t
i;
/*
Generate a 1-D convolution kernel.
*/
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
kernel=(double *) MagickAssumeAligned(AcquireAlignedMemory((size_t) width,
sizeof(*kernel)));
if (kernel == (double *) NULL)
return(kernel);
normalize=0.0;
for (i=0; i < (ssize_t) width; i++)
{
kernel[i]=(double) (exp((-((double) i*i)/(double) (2.0*MagickSigma*
MagickSigma)))/(MagickSQ2PI*MagickSigma));
normalize+=kernel[i];
}
for (i=0; i < (ssize_t) width; i++)
kernel[i]/=normalize;
return(kernel);
}
MagickExport Image *MotionBlurImage(const Image *image,const double radius,
const double sigma,const double angle,ExceptionInfo *exception)
{
Image
*motion_blur;
motion_blur=MotionBlurImageChannel(image,DefaultChannels,radius,sigma,angle,
exception);
return(motion_blur);
}
MagickExport Image *MotionBlurImageChannel(const Image *image,
const ChannelType channel,const double radius,const double sigma,
const double angle,ExceptionInfo *exception)
{
#define BlurImageTag "Blur/Image"
CacheView
*blur_view,
*image_view;
double
*kernel;
Image
*blur_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
bias;
OffsetInfo
*offset;
PointInfo
point;
register ssize_t
i;
size_t
width;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
width=GetOptimalKernelWidth1D(radius,sigma);
kernel=GetMotionBlurKernel(width,sigma);
if (kernel == (double *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
offset=(OffsetInfo *) AcquireQuantumMemory(width,sizeof(*offset));
if (offset == (OffsetInfo *) NULL)
{
kernel=(double *) RelinquishAlignedMemory(kernel);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
point.x=(double) width*sin(DegreesToRadians(angle));
point.y=(double) width*cos(DegreesToRadians(angle));
for (i=0; i < (ssize_t) width; i++)
{
offset[i].x=(ssize_t) ceil((double) (i*point.y)/hypot(point.x,point.y)-0.5);
offset[i].y=(ssize_t) ceil((double) (i*point.x)/hypot(point.x,point.y)-0.5);
}
/*
Motion blur image.
*/
blur_image=AccelerateMotionBlurImage(image,channel,kernel,width,offset
,exception);
if (blur_image != (Image*)NULL)
{
return blur_image;
}
blur_image=CloneImage(image,0,0,MagickTrue,exception);
if (blur_image == (Image *) NULL)
{
kernel=(double *) RelinquishAlignedMemory(kernel);
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
return((Image *) NULL);
}
if (SetImageStorageClass(blur_image,DirectClass) == MagickFalse)
{
kernel=(double *) RelinquishAlignedMemory(kernel);
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
InheritException(exception,&blur_image->exception);
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
status=MagickTrue;
progress=0;
GetMagickPixelPacket(image,&bias);
image_view=AcquireVirtualCacheView(image,exception);
blur_view=AcquireAuthenticCacheView(blur_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,blur_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*restrict blur_indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
blur_indexes=GetCacheViewAuthenticIndexQueue(blur_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickPixelPacket
qixel;
PixelPacket
pixel;
register const IndexPacket
*restrict indexes;
register double
*restrict k;
register ssize_t
i;
k=kernel;
qixel=bias;
if (((channel & OpacityChannel) == 0) || (image->matte == MagickFalse))
{
for (i=0; i < (ssize_t) width; i++)
{
(void) GetOneCacheViewVirtualPixel(image_view,x+offset[i].x,y+
offset[i].y,&pixel,exception);
qixel.red+=(*k)*pixel.red;
qixel.green+=(*k)*pixel.green;
qixel.blue+=(*k)*pixel.blue;
qixel.opacity+=(*k)*pixel.opacity;
if (image->colorspace == CMYKColorspace)
{
indexes=GetCacheViewVirtualIndexQueue(image_view);
qixel.index+=(*k)*(*indexes);
}
k++;
}
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(qixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(qixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(qixel.blue));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(qixel.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(blur_indexes+x,ClampToQuantum(qixel.index));
}
else
{
double
alpha,
gamma;
alpha=0.0;
gamma=0.0;
for (i=0; i < (ssize_t) width; i++)
{
(void) GetOneCacheViewVirtualPixel(image_view,x+offset[i].x,y+
offset[i].y,&pixel,exception);
alpha=(MagickRealType) (QuantumScale*GetPixelAlpha(&pixel));
qixel.red+=(*k)*alpha*pixel.red;
qixel.green+=(*k)*alpha*pixel.green;
qixel.blue+=(*k)*alpha*pixel.blue;
qixel.opacity+=(*k)*pixel.opacity;
if (image->colorspace == CMYKColorspace)
{
indexes=GetCacheViewVirtualIndexQueue(image_view);
qixel.index+=(*k)*alpha*GetPixelIndex(indexes);
}
gamma+=(*k)*alpha;
k++;
}
gamma=PerceptibleReciprocal(gamma);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(gamma*qixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(gamma*qixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(gamma*qixel.blue));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(qixel.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(blur_indexes+x,ClampToQuantum(gamma*qixel.index));
}
q++;
}
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_MotionBlurImageChannel)
#endif
proceed=SetImageProgress(image,BlurImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
blur_view=DestroyCacheView(blur_view);
image_view=DestroyCacheView(image_view);
kernel=(double *) RelinquishAlignedMemory(kernel);
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
if (status == MagickFalse)
blur_image=DestroyImage(blur_image);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P r e v i e w I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PreviewImage() tiles 9 thumbnails of the specified image with an image
% processing operation applied with varying parameters. This may be helpful
% pin-pointing an appropriate parameter for a particular image processing
% operation.
%
% The format of the PreviewImages method is:
%
% Image *PreviewImages(const Image *image,const PreviewType preview,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o preview: the image processing operation.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PreviewImage(const Image *image,const PreviewType preview,
ExceptionInfo *exception)
{
#define NumberTiles 9
#define PreviewImageTag "Preview/Image"
#define DefaultPreviewGeometry "204x204+10+10"
char
factor[MaxTextExtent],
label[MaxTextExtent];
double
degrees,
gamma,
percentage,
radius,
sigma,
threshold;
Image
*images,
*montage_image,
*preview_image,
*thumbnail;
ImageInfo
*preview_info;
MagickBooleanType
proceed;
MontageInfo
*montage_info;
QuantizeInfo
quantize_info;
RectangleInfo
geometry;
register ssize_t
i,
x;
size_t
colors;
ssize_t
y;
/*
Open output image file.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
colors=2;
degrees=0.0;
gamma=(-0.2f);
preview_info=AcquireImageInfo();
SetGeometry(image,&geometry);
(void) ParseMetaGeometry(DefaultPreviewGeometry,&geometry.x,&geometry.y,
&geometry.width,&geometry.height);
images=NewImageList();
percentage=12.5;
GetQuantizeInfo(&quantize_info);
radius=0.0;
sigma=1.0;
threshold=0.0;
x=0;
y=0;
for (i=0; i < NumberTiles; i++)
{
thumbnail=ThumbnailImage(image,geometry.width,geometry.height,exception);
if (thumbnail == (Image *) NULL)
break;
(void) SetImageProgressMonitor(thumbnail,(MagickProgressMonitor) NULL,
(void *) NULL);
(void) SetImageProperty(thumbnail,"label",DefaultTileLabel);
if (i == (NumberTiles/2))
{
(void) QueryColorDatabase("#dfdfdf",&thumbnail->matte_color,exception);
AppendImageToList(&images,thumbnail);
continue;
}
switch (preview)
{
case RotatePreview:
{
degrees+=45.0;
preview_image=RotateImage(thumbnail,degrees,exception);
(void) FormatLocaleString(label,MaxTextExtent,"rotate %g",degrees);
break;
}
case ShearPreview:
{
degrees+=5.0;
preview_image=ShearImage(thumbnail,degrees,degrees,exception);
(void) FormatLocaleString(label,MaxTextExtent,"shear %gx%g",
degrees,2.0*degrees);
break;
}
case RollPreview:
{
x=(ssize_t) ((i+1)*thumbnail->columns)/NumberTiles;
y=(ssize_t) ((i+1)*thumbnail->rows)/NumberTiles;
preview_image=RollImage(thumbnail,x,y,exception);
(void) FormatLocaleString(label,MaxTextExtent,"roll %+.20gx%+.20g",
(double) x,(double) y);
break;
}
case HuePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) FormatLocaleString(factor,MaxTextExtent,"100,100,%g",
2.0*percentage);
(void) ModulateImage(preview_image,factor);
(void) FormatLocaleString(label,MaxTextExtent,"modulate %s",factor);
break;
}
case SaturationPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) FormatLocaleString(factor,MaxTextExtent,"100,%g",2.0*percentage);
(void) ModulateImage(preview_image,factor);
(void) FormatLocaleString(label,MaxTextExtent,"modulate %s",factor);
break;
}
case BrightnessPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) FormatLocaleString(factor,MaxTextExtent,"%g",2.0*percentage);
(void) ModulateImage(preview_image,factor);
(void) FormatLocaleString(label,MaxTextExtent,"modulate %s",factor);
break;
}
case GammaPreview:
default:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
gamma+=0.4f;
(void) GammaImageChannel(preview_image,DefaultChannels,gamma);
(void) FormatLocaleString(label,MaxTextExtent,"gamma %g",gamma);
break;
}
case SpiffPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image != (Image *) NULL)
for (x=0; x < i; x++)
(void) ContrastImage(preview_image,MagickTrue);
(void) FormatLocaleString(label,MaxTextExtent,"contrast (%.20g)",
(double) i+1);
break;
}
case DullPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
for (x=0; x < i; x++)
(void) ContrastImage(preview_image,MagickFalse);
(void) FormatLocaleString(label,MaxTextExtent,"+contrast (%.20g)",
(double) i+1);
break;
}
case GrayscalePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
colors<<=1;
quantize_info.number_colors=colors;
quantize_info.colorspace=GRAYColorspace;
(void) QuantizeImage(&quantize_info,preview_image);
(void) FormatLocaleString(label,MaxTextExtent,
"-colorspace gray -colors %.20g",(double) colors);
break;
}
case QuantizePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
colors<<=1;
quantize_info.number_colors=colors;
(void) QuantizeImage(&quantize_info,preview_image);
(void) FormatLocaleString(label,MaxTextExtent,"colors %.20g",(double)
colors);
break;
}
case DespecklePreview:
{
for (x=0; x < (i-1); x++)
{
preview_image=DespeckleImage(thumbnail,exception);
if (preview_image == (Image *) NULL)
break;
thumbnail=DestroyImage(thumbnail);
thumbnail=preview_image;
}
preview_image=DespeckleImage(thumbnail,exception);
if (preview_image == (Image *) NULL)
break;
(void) FormatLocaleString(label,MaxTextExtent,"despeckle (%.20g)",
(double) i+1);
break;
}
case ReduceNoisePreview:
{
preview_image=StatisticImage(thumbnail,NonpeakStatistic,(size_t) radius,
(size_t) radius,exception);
(void) FormatLocaleString(label,MaxTextExtent,"noise %g",radius);
break;
}
case AddNoisePreview:
{
switch ((int) i)
{
case 0:
{
(void) CopyMagickString(factor,"uniform",MaxTextExtent);
break;
}
case 1:
{
(void) CopyMagickString(factor,"gaussian",MaxTextExtent);
break;
}
case 2:
{
(void) CopyMagickString(factor,"multiplicative",MaxTextExtent);
break;
}
case 3:
{
(void) CopyMagickString(factor,"impulse",MaxTextExtent);
break;
}
case 5:
{
(void) CopyMagickString(factor,"laplacian",MaxTextExtent);
break;
}
case 6:
{
(void) CopyMagickString(factor,"poisson",MaxTextExtent);
break;
}
default:
{
(void) CopyMagickString(thumbnail->magick,"NULL",MaxTextExtent);
break;
}
}
preview_image=StatisticImage(thumbnail,NonpeakStatistic,(size_t) i,
(size_t) i,exception);
(void) FormatLocaleString(label,MaxTextExtent,"+noise %s",factor);
break;
}
case SharpenPreview:
{
preview_image=SharpenImage(thumbnail,radius,sigma,exception);
(void) FormatLocaleString(label,MaxTextExtent,"sharpen %gx%g",
radius,sigma);
break;
}
case BlurPreview:
{
preview_image=BlurImage(thumbnail,radius,sigma,exception);
(void) FormatLocaleString(label,MaxTextExtent,"blur %gx%g",radius,
sigma);
break;
}
case ThresholdPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) BilevelImage(thumbnail,
(double) (percentage*((MagickRealType) QuantumRange+1.0))/100.0);
(void) FormatLocaleString(label,MaxTextExtent,"threshold %g",
(double) (percentage*((MagickRealType) QuantumRange+1.0))/100.0);
break;
}
case EdgeDetectPreview:
{
preview_image=EdgeImage(thumbnail,radius,exception);
(void) FormatLocaleString(label,MaxTextExtent,"edge %g",radius);
break;
}
case SpreadPreview:
{
preview_image=SpreadImage(thumbnail,radius,exception);
(void) FormatLocaleString(label,MaxTextExtent,"spread %g",
radius+0.5);
break;
}
case SolarizePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) SolarizeImage(preview_image,(double) QuantumRange*
percentage/100.0);
(void) FormatLocaleString(label,MaxTextExtent,"solarize %g",
(QuantumRange*percentage)/100.0);
break;
}
case ShadePreview:
{
degrees+=10.0;
preview_image=ShadeImage(thumbnail,MagickTrue,degrees,degrees,
exception);
(void) FormatLocaleString(label,MaxTextExtent,"shade %gx%g",
degrees,degrees);
break;
}
case RaisePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
geometry.width=(size_t) (2*i+2);
geometry.height=(size_t) (2*i+2);
geometry.x=(i-1)/2;
geometry.y=(i-1)/2;
(void) RaiseImage(preview_image,&geometry,MagickTrue);
(void) FormatLocaleString(label,MaxTextExtent,
"raise %.20gx%.20g%+.20g%+.20g",(double) geometry.width,(double)
geometry.height,(double) geometry.x,(double) geometry.y);
break;
}
case SegmentPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
threshold+=0.4f;
(void) SegmentImage(preview_image,sRGBColorspace,MagickFalse,threshold,
threshold);
(void) FormatLocaleString(label,MaxTextExtent,"segment %gx%g",
threshold,threshold);
break;
}
case SwirlPreview:
{
preview_image=SwirlImage(thumbnail,degrees,exception);
(void) FormatLocaleString(label,MaxTextExtent,"swirl %g",degrees);
degrees+=45.0;
break;
}
case ImplodePreview:
{
degrees+=0.1f;
preview_image=ImplodeImage(thumbnail,degrees,exception);
(void) FormatLocaleString(label,MaxTextExtent,"implode %g",degrees);
break;
}
case WavePreview:
{
degrees+=5.0f;
preview_image=WaveImage(thumbnail,0.5*degrees,2.0*degrees,exception);
(void) FormatLocaleString(label,MaxTextExtent,"wave %gx%g",
0.5*degrees,2.0*degrees);
break;
}
case OilPaintPreview:
{
preview_image=OilPaintImage(thumbnail,(double) radius,exception);
(void) FormatLocaleString(label,MaxTextExtent,"paint %g",radius);
break;
}
case CharcoalDrawingPreview:
{
preview_image=CharcoalImage(thumbnail,(double) radius,(double) sigma,
exception);
(void) FormatLocaleString(label,MaxTextExtent,"charcoal %gx%g",
radius,sigma);
break;
}
case JPEGPreview:
{
char
filename[MaxTextExtent];
int
file;
MagickBooleanType
status;
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
preview_info->quality=(size_t) percentage;
(void) FormatLocaleString(factor,MaxTextExtent,"%.20g",(double)
preview_info->quality);
file=AcquireUniqueFileResource(filename);
if (file != -1)
file=close(file)-1;
(void) FormatLocaleString(preview_image->filename,MaxTextExtent,
"jpeg:%s",filename);
status=WriteImage(preview_info,preview_image);
if (status != MagickFalse)
{
Image
*quality_image;
(void) CopyMagickString(preview_info->filename,
preview_image->filename,MaxTextExtent);
quality_image=ReadImage(preview_info,exception);
if (quality_image != (Image *) NULL)
{
preview_image=DestroyImage(preview_image);
preview_image=quality_image;
}
}
(void) RelinquishUniqueFileResource(preview_image->filename);
if ((GetBlobSize(preview_image)/1024) >= 1024)
(void) FormatLocaleString(label,MaxTextExtent,"quality %s\n%gmb ",
factor,(double) ((MagickOffsetType) GetBlobSize(preview_image))/
1024.0/1024.0);
else
if (GetBlobSize(preview_image) >= 1024)
(void) FormatLocaleString(label,MaxTextExtent,
"quality %s\n%gkb ",factor,(double) ((MagickOffsetType)
GetBlobSize(preview_image))/1024.0);
else
(void) FormatLocaleString(label,MaxTextExtent,"quality %s\n%.20gb ",
factor,(double) ((MagickOffsetType) GetBlobSize(thumbnail)));
break;
}
}
thumbnail=DestroyImage(thumbnail);
percentage+=12.5;
radius+=0.5;
sigma+=0.25;
if (preview_image == (Image *) NULL)
break;
(void) DeleteImageProperty(preview_image,"label");
(void) SetImageProperty(preview_image,"label",label);
AppendImageToList(&images,preview_image);
proceed=SetImageProgress(image,PreviewImageTag,(MagickOffsetType) i,
NumberTiles);
if (proceed == MagickFalse)
break;
}
if (images == (Image *) NULL)
{
preview_info=DestroyImageInfo(preview_info);
return((Image *) NULL);
}
/*
Create the montage.
*/
montage_info=CloneMontageInfo(preview_info,(MontageInfo *) NULL);
(void) CopyMagickString(montage_info->filename,image->filename,MaxTextExtent);
montage_info->shadow=MagickTrue;
(void) CloneString(&montage_info->tile,"3x3");
(void) CloneString(&montage_info->geometry,DefaultPreviewGeometry);
(void) CloneString(&montage_info->frame,DefaultTileFrame);
montage_image=MontageImages(images,montage_info,exception);
montage_info=DestroyMontageInfo(montage_info);
images=DestroyImageList(images);
if (montage_image == (Image *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
if (montage_image->montage != (char *) NULL)
{
/*
Free image directory.
*/
montage_image->montage=(char *) RelinquishMagickMemory(
montage_image->montage);
if (image->directory != (char *) NULL)
montage_image->directory=(char *) RelinquishMagickMemory(
montage_image->directory);
}
preview_info=DestroyImageInfo(preview_info);
return(montage_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R o t a t i o n a l B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RotationalBlurImage() applies a rotational blur to the image.
%
% Andrew Protano contributed this effect.
%
% The format of the RotationalBlurImage method is:
%
% Image *RotationalBlurImage(const Image *image,const double angle,
% ExceptionInfo *exception)
% Image *RotationalBlurImageChannel(const Image *image,
% const ChannelType channel,const double angle,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o angle: the angle of the rotational blur.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *RotationalBlurImage(const Image *image,const double angle,
ExceptionInfo *exception)
{
Image
*blur_image;
blur_image=RotationalBlurImageChannel(image,DefaultChannels,angle,exception);
return(blur_image);
}
MagickExport Image *RotationalBlurImageChannel(const Image *image,
const ChannelType channel,const double angle,ExceptionInfo *exception)
{
CacheView
*blur_view,
*image_view;
Image
*blur_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
bias;
MagickRealType
blur_radius,
*cos_theta,
offset,
*sin_theta,
theta;
PointInfo
blur_center;
register ssize_t
i;
size_t
n;
ssize_t
y;
/*
Allocate blur image.
*/
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);
blur_image=AccelerateRadialBlurImage(image,channel,angle,exception);
if (blur_image != (Image *) NULL)
return(blur_image);
blur_center.x=(double) (image->columns-1)/2.0;
blur_center.y=(double) (image->rows-1)/2.0;
blur_radius=hypot(blur_center.x,blur_center.y);
n=(size_t) fabs(4.0*DegreesToRadians(angle)*sqrt((double) blur_radius)+2UL);
theta=DegreesToRadians(angle)/(MagickRealType) (n-1);
cos_theta=(MagickRealType *) AcquireQuantumMemory((size_t) n,
sizeof(*cos_theta));
sin_theta=(MagickRealType *) AcquireQuantumMemory((size_t) n,
sizeof(*sin_theta));
if ((cos_theta == (MagickRealType *) NULL) ||
(sin_theta == (MagickRealType *) NULL))
{
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
offset=theta*(MagickRealType) (n-1)/2.0;
for (i=0; i < (ssize_t) n; i++)
{
cos_theta[i]=cos((double) (theta*i-offset));
sin_theta[i]=sin((double) (theta*i-offset));
}
blur_image=CloneImage(image,0,0,MagickTrue,exception);
if (blur_image == (Image *) NULL)
{
cos_theta=(MagickRealType *) RelinquishMagickMemory(cos_theta);
sin_theta=(MagickRealType *) RelinquishMagickMemory(sin_theta);
return((Image *) NULL);
}
if (SetImageStorageClass(blur_image,DirectClass) == MagickFalse)
{
cos_theta=(MagickRealType *) RelinquishMagickMemory(cos_theta);
sin_theta=(MagickRealType *) RelinquishMagickMemory(sin_theta);
InheritException(exception,&blur_image->exception);
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
/*
Radial blur image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(image,&bias);
image_view=AcquireVirtualCacheView(image,exception);
blur_view=AcquireAuthenticCacheView(blur_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,blur_image,blur_image->rows,1)
#endif
for (y=0; y < (ssize_t) blur_image->rows; y++)
{
register const IndexPacket
*restrict indexes;
register IndexPacket
*restrict blur_indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
blur_indexes=GetCacheViewAuthenticIndexQueue(blur_view);
for (x=0; x < (ssize_t) blur_image->columns; x++)
{
MagickPixelPacket
qixel;
MagickRealType
normalize,
radius;
PixelPacket
pixel;
PointInfo
center;
register ssize_t
i;
size_t
step;
center.x=(double) x-blur_center.x;
center.y=(double) y-blur_center.y;
radius=hypot((double) center.x,center.y);
if (radius == 0)
step=1;
else
{
step=(size_t) (blur_radius/radius);
if (step == 0)
step=1;
else
if (step >= n)
step=n-1;
}
normalize=0.0;
qixel=bias;
if (((channel & OpacityChannel) == 0) || (image->matte == MagickFalse))
{
for (i=0; i < (ssize_t) n; i+=(ssize_t) step)
{
(void) GetOneCacheViewVirtualPixel(image_view,(ssize_t)
(blur_center.x+center.x*cos_theta[i]-center.y*sin_theta[i]+0.5),
(ssize_t) (blur_center.y+center.x*sin_theta[i]+center.y*
cos_theta[i]+0.5),&pixel,exception);
qixel.red+=pixel.red;
qixel.green+=pixel.green;
qixel.blue+=pixel.blue;
qixel.opacity+=pixel.opacity;
if (image->colorspace == CMYKColorspace)
{
indexes=GetCacheViewVirtualIndexQueue(image_view);
qixel.index+=(*indexes);
}
normalize+=1.0;
}
normalize=PerceptibleReciprocal(normalize);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(normalize*qixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(normalize*qixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(normalize*qixel.blue));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(normalize*qixel.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(blur_indexes+x,ClampToQuantum(normalize*qixel.index));
}
else
{
double
alpha,
gamma;
alpha=1.0;
gamma=0.0;
for (i=0; i < (ssize_t) n; i+=(ssize_t) step)
{
(void) GetOneCacheViewVirtualPixel(image_view,(ssize_t)
(blur_center.x+center.x*cos_theta[i]-center.y*sin_theta[i]+0.5),
(ssize_t) (blur_center.y+center.x*sin_theta[i]+center.y*
cos_theta[i]+0.5),&pixel,exception);
alpha=(MagickRealType) (QuantumScale*GetPixelAlpha(&pixel));
qixel.red+=alpha*pixel.red;
qixel.green+=alpha*pixel.green;
qixel.blue+=alpha*pixel.blue;
qixel.opacity+=pixel.opacity;
if (image->colorspace == CMYKColorspace)
{
indexes=GetCacheViewVirtualIndexQueue(image_view);
qixel.index+=alpha*(*indexes);
}
gamma+=alpha;
normalize+=1.0;
}
gamma=PerceptibleReciprocal(gamma);
normalize=PerceptibleReciprocal(normalize);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(gamma*qixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(gamma*qixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(gamma*qixel.blue));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(normalize*qixel.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(blur_indexes+x,ClampToQuantum(gamma*qixel.index));
}
q++;
}
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_RotationalBlurImageChannel)
#endif
proceed=SetImageProgress(image,BlurImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
blur_view=DestroyCacheView(blur_view);
image_view=DestroyCacheView(image_view);
cos_theta=(MagickRealType *) RelinquishMagickMemory(cos_theta);
sin_theta=(MagickRealType *) RelinquishMagickMemory(sin_theta);
if (status == MagickFalse)
blur_image=DestroyImage(blur_image);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e l e c t i v e B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SelectiveBlurImage() selectively blur pixels within a contrast threshold.
% It is similar to the unsharpen mask that sharpens everything with contrast
% above a certain threshold.
%
% The format of the SelectiveBlurImage method is:
%
% Image *SelectiveBlurImage(const Image *image,const double radius,
% const double sigma,const double threshold,ExceptionInfo *exception)
% Image *SelectiveBlurImageChannel(const Image *image,
% const ChannelType channel,const double radius,const double sigma,
% const double threshold,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o threshold: only pixels within this contrast threshold are included
% in the blur operation.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SelectiveBlurImage(const Image *image,const double radius,
const double sigma,const double threshold,ExceptionInfo *exception)
{
Image
*blur_image;
blur_image=SelectiveBlurImageChannel(image,DefaultChannels,radius,sigma,
threshold,exception);
return(blur_image);
}
MagickExport Image *SelectiveBlurImageChannel(const Image *image,
const ChannelType channel,const double radius,const double sigma,
const double threshold,ExceptionInfo *exception)
{
#define SelectiveBlurImageTag "SelectiveBlur/Image"
CacheView
*blur_view,
*image_view,
*luminance_view;
double
*kernel;
Image
*blur_image,
*luminance_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
bias;
register ssize_t
i;
size_t
width;
ssize_t
center,
j,
u,
v,
y;
/*
Initialize blur 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);
width=GetOptimalKernelWidth1D(radius,sigma);
kernel=(double *) MagickAssumeAligned(AcquireAlignedMemory((size_t) width,
width*sizeof(*kernel)));
if (kernel == (double *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
j=(ssize_t) (width-1)/2;
i=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
kernel[i++]=(double) (exp(-((double) u*u+v*v)/(2.0*MagickSigma*
MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
}
if (image->debug != MagickFalse)
{
char
format[MaxTextExtent],
*message;
register const double
*k;
ssize_t
u,
v;
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" SelectiveBlurImage with %.20gx%.20g kernel:",(double) width,(double)
width);
message=AcquireString("");
k=kernel;
for (v=0; v < (ssize_t) width; v++)
{
*message='\0';
(void) FormatLocaleString(format,MaxTextExtent,"%.20g: ",(double) v);
(void) ConcatenateString(&message,format);
for (u=0; u < (ssize_t) width; u++)
{
(void) FormatLocaleString(format,MaxTextExtent,"%+f ",*k++);
(void) ConcatenateString(&message,format);
}
(void) LogMagickEvent(TransformEvent,GetMagickModule(),"%s",message);
}
message=DestroyString(message);
}
blur_image=CloneImage(image,0,0,MagickTrue,exception);
if (blur_image == (Image *) NULL)
{
kernel=(double *) RelinquishAlignedMemory(kernel);
return((Image *) NULL);
}
if (SetImageStorageClass(blur_image,DirectClass) == MagickFalse)
{
kernel=(double *) RelinquishAlignedMemory(kernel);
InheritException(exception,&blur_image->exception);
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
luminance_image=CloneImage(image,0,0,MagickTrue,exception);
if (luminance_image == (Image *) NULL)
{
kernel=(double *) RelinquishAlignedMemory(kernel);
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
status=TransformImageColorspace(luminance_image,GRAYColorspace);
if (status == MagickFalse)
{
InheritException(exception,&luminance_image->exception);
kernel=(double *) RelinquishAlignedMemory(kernel);
blur_image=DestroyImage(blur_image);
luminance_image=DestroyImage(luminance_image);
return((Image *) NULL);
}
/*
Threshold blur image.
*/
status=MagickTrue;
progress=0;
center=(ssize_t) ((image->columns+width)*((width-1)/2L)+((width-1)/2L));
GetMagickPixelPacket(image,&bias);
SetMagickPixelPacketBias(image,&bias);
image_view=AcquireVirtualCacheView(image,exception);
luminance_view=AcquireVirtualCacheView(luminance_image,exception);
blur_view=AcquireAuthenticCacheView(blur_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,blur_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
gamma;
MagickBooleanType
sync;
register const IndexPacket
*restrict indexes;
register const PixelPacket
*restrict l,
*restrict p;
register IndexPacket
*restrict blur_indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-((ssize_t) (width-1)/2L),y-(ssize_t)
((width-1)/2L),image->columns+width,width,exception);
l=GetCacheViewVirtualPixels(luminance_view,-((ssize_t) (width-1)/2L),y-
(ssize_t) ((width-1)/2L),luminance_image->columns+width,width,exception);
q=GetCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) ||
(l == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
blur_indexes=GetCacheViewAuthenticIndexQueue(blur_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
double
contrast;
DoublePixelPacket
pixel;
MagickRealType
intensity;
register const double
*restrict k;
register ssize_t
u;
ssize_t
j,
v;
pixel.red=bias.red;
pixel.green=bias.green;
pixel.blue=bias.blue;
pixel.opacity=bias.opacity;
pixel.index=bias.index;
k=kernel;
intensity=GetPixelIntensity(image,p+center);
gamma=0.0;
j=0;
if (((channel & OpacityChannel) == 0) || (image->matte == MagickFalse))
{
for (v=0; v < (ssize_t) width; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
contrast=GetPixelIntensity(luminance_image,l+u+j)-intensity;
if (fabs(contrast) < threshold)
{
pixel.red+=(*k)*GetPixelRed(p+u+j);
pixel.green+=(*k)*GetPixelGreen(p+u+j);
pixel.blue+=(*k)*GetPixelBlue(p+u+j);
gamma+=(*k);
}
k++;
}
j+=(ssize_t) (image->columns+width);
}
if (gamma != 0.0)
{
gamma=PerceptibleReciprocal(gamma);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(gamma*pixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(gamma*pixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(gamma*pixel.blue));
}
if ((channel & OpacityChannel) != 0)
{
gamma=0.0;
j=0;
for (v=0; v < (ssize_t) width; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
contrast=GetPixelIntensity(luminance_image,l+u+j)-intensity;
if (fabs(contrast) < threshold)
{
pixel.opacity+=(*k)*(p+u+j)->opacity;
gamma+=(*k);
}
k++;
}
j+=(ssize_t) (image->columns+width);
}
gamma=PerceptibleReciprocal(gamma);
SetPixelOpacity(q,ClampToQuantum(gamma*pixel.opacity));
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
gamma=0.0;
j=0;
for (v=0; v < (ssize_t) width; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
contrast=GetPixelIntensity(luminance_image,l+u+j)-intensity;
if (fabs(contrast) < threshold)
{
pixel.index+=(*k)*GetPixelIndex(indexes+x+u+j);
gamma+=(*k);
}
k++;
}
j+=(ssize_t) (image->columns+width);
}
gamma=PerceptibleReciprocal(gamma);
SetPixelIndex(blur_indexes+x,ClampToQuantum(gamma*pixel.index));
}
}
else
{
MagickRealType
alpha;
for (v=0; v < (ssize_t) width; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
contrast=GetPixelIntensity(luminance_image,l+u+j)-intensity;
if (fabs(contrast) < threshold)
{
alpha=(MagickRealType) (QuantumScale*GetPixelAlpha(p+u+j));
pixel.red+=(*k)*alpha*GetPixelRed(p+u+j);
pixel.green+=(*k)*alpha*GetPixelGreen(p+u+j);
pixel.blue+=(*k)*alpha*GetPixelBlue(p+u+j);
pixel.opacity+=(*k)*GetPixelOpacity(p+u+j);
gamma+=(*k)*alpha;
}
k++;
}
j+=(ssize_t) (image->columns+width);
}
if (gamma != 0.0)
{
gamma=PerceptibleReciprocal(gamma);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(gamma*pixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(gamma*pixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(gamma*pixel.blue));
}
if ((channel & OpacityChannel) != 0)
{
gamma=0.0;
j=0;
for (v=0; v < (ssize_t) width; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
contrast=GetPixelIntensity(luminance_image,l+u+j)-intensity;
if (fabs(contrast) < threshold)
{
pixel.opacity+=(*k)*GetPixelOpacity(p+u+j);
gamma+=(*k);
}
k++;
}
j+=(ssize_t) (image->columns+width);
}
gamma=PerceptibleReciprocal(gamma);
SetPixelOpacity(q,ClampToQuantum(pixel.opacity));
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
gamma=0.0;
j=0;
for (v=0; v < (ssize_t) width; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
contrast=GetPixelIntensity(luminance_image,l+u+j)-intensity;
if (fabs(contrast) < threshold)
{
alpha=(MagickRealType) (QuantumScale*
GetPixelAlpha(p+u+j));
pixel.index+=(*k)*alpha*GetPixelIndex(indexes+x+u+j);
gamma+=(*k);
}
k++;
}
j+=(ssize_t) (image->columns+width);
}
gamma=PerceptibleReciprocal(gamma);
SetPixelIndex(blur_indexes+x,ClampToQuantum(gamma*pixel.index));
}
}
p++;
l++;
q++;
}
sync=SyncCacheViewAuthenticPixels(blur_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SelectiveBlurImageChannel)
#endif
proceed=SetImageProgress(image,SelectiveBlurImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
blur_image->type=image->type;
blur_view=DestroyCacheView(blur_view);
luminance_view=DestroyCacheView(luminance_view);
image_view=DestroyCacheView(image_view);
luminance_image=DestroyImage(luminance_image);
kernel=(double *) RelinquishAlignedMemory(kernel);
if (status == MagickFalse)
blur_image=DestroyImage(blur_image);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h a d e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ShadeImage() shines a distant light on an image to create a
% three-dimensional effect. You control the positioning of the light with
% azimuth and elevation; azimuth is measured in degrees off the x axis
% and elevation is measured in pixels above the Z axis.
%
% The format of the ShadeImage method is:
%
% Image *ShadeImage(const Image *image,const MagickBooleanType gray,
% const double azimuth,const double elevation,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o gray: A value other than zero shades the intensity of each pixel.
%
% o azimuth, elevation: Define the light source direction.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ShadeImage(const Image *image,const MagickBooleanType gray,
const double azimuth,const double elevation,ExceptionInfo *exception)
{
#define ShadeImageTag "Shade/Image"
CacheView
*image_view,
*shade_view;
Image
*linear_image,
*shade_image;
MagickBooleanType
status;
MagickOffsetType
progress;
PrimaryInfo
light;
ssize_t
y;
/*
Initialize shaded image attributes.
*/
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);
linear_image=CloneImage(image,0,0,MagickTrue,exception);
shade_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if ((linear_image == (Image *) NULL) || (shade_image == (Image *) NULL))
{
if (linear_image != (Image *) NULL)
linear_image=DestroyImage(linear_image);
if (shade_image != (Image *) NULL)
shade_image=DestroyImage(shade_image);
return((Image *) NULL);
}
if (SetImageStorageClass(shade_image,DirectClass) == MagickFalse)
{
InheritException(exception,&shade_image->exception);
linear_image=DestroyImage(linear_image);
shade_image=DestroyImage(shade_image);
return((Image *) NULL);
}
/*
Compute the light vector.
*/
light.x=(double) QuantumRange*cos(DegreesToRadians(azimuth))*
cos(DegreesToRadians(elevation));
light.y=(double) QuantumRange*sin(DegreesToRadians(azimuth))*
cos(DegreesToRadians(elevation));
light.z=(double) QuantumRange*sin(DegreesToRadians(elevation));
/*
Shade image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(linear_image,exception);
shade_view=AcquireAuthenticCacheView(shade_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(linear_image,shade_image,linear_image->rows,1)
#endif
for (y=0; y < (ssize_t) linear_image->rows; y++)
{
MagickRealType
distance,
normal_distance,
shade;
PrimaryInfo
normal;
register const PixelPacket
*restrict p,
*restrict s0,
*restrict s1,
*restrict s2;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-1,y-1,linear_image->columns+2,3,
exception);
q=QueueCacheViewAuthenticPixels(shade_view,0,y,shade_image->columns,1,
exception);
if ((p == (PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
/*
Shade this row of pixels.
*/
normal.z=2.0*(double) QuantumRange; /* constant Z of surface normal */
s0=p+1;
s1=s0+image->columns+2;
s2=s1+image->columns+2;
for (x=0; x < (ssize_t) linear_image->columns; x++)
{
/*
Determine the surface normal and compute shading.
*/
normal.x=(double) (GetPixelIntensity(linear_image,s0-1)+
GetPixelIntensity(linear_image,s1-1)+
GetPixelIntensity(linear_image,s2-1)-
GetPixelIntensity(linear_image,s0+1)-
GetPixelIntensity(linear_image,s1+1)-
GetPixelIntensity(linear_image,s2+1));
normal.y=(double) (GetPixelIntensity(linear_image,s2-1)+
GetPixelIntensity(linear_image,s2)+
GetPixelIntensity(linear_image,s2+1)-
GetPixelIntensity(linear_image,s0-1)-
GetPixelIntensity(linear_image,s0)-
GetPixelIntensity(linear_image,s0+1));
if ((normal.x == 0.0) && (normal.y == 0.0))
shade=light.z;
else
{
shade=0.0;
distance=normal.x*light.x+normal.y*light.y+normal.z*light.z;
if (distance > MagickEpsilon)
{
normal_distance=normal.x*normal.x+normal.y*normal.y+normal.z*
normal.z;
if (normal_distance > (MagickEpsilon*MagickEpsilon))
shade=distance/sqrt((double) normal_distance);
}
}
if (gray != MagickFalse)
{
SetPixelRed(q,shade);
SetPixelGreen(q,shade);
SetPixelBlue(q,shade);
}
else
{
SetPixelRed(q,ClampToQuantum(QuantumScale*shade*GetPixelRed(s1)));
SetPixelGreen(q,ClampToQuantum(QuantumScale*shade*GetPixelGreen(s1)));
SetPixelBlue(q,ClampToQuantum(QuantumScale*shade*GetPixelBlue(s1)));
}
q->opacity=s1->opacity;
s0++;
s1++;
s2++;
q++;
}
if (SyncCacheViewAuthenticPixels(shade_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ShadeImage)
#endif
proceed=SetImageProgress(image,ShadeImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
shade_view=DestroyCacheView(shade_view);
image_view=DestroyCacheView(image_view);
linear_image=DestroyImage(linear_image);
if (status == MagickFalse)
shade_image=DestroyImage(shade_image);
return(shade_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h a r p e n I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SharpenImage() sharpens the image. We convolve the image with a Gaussian
% operator of the given radius and standard deviation (sigma). For
% reasonable results, radius should be larger than sigma. Use a radius of 0
% and SharpenImage() selects a suitable radius for you.
%
% Using a separable kernel would be faster, but the negative weights cancel
% out on the corners of the kernel producing often undesirable ringing in the
% filtered result; this can be avoided by using a 2D gaussian shaped image
% sharpening kernel instead.
%
% The format of the SharpenImage method is:
%
% Image *SharpenImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
% Image *SharpenImageChannel(const Image *image,const ChannelType channel,
% const double radius,const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Laplacian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SharpenImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
Image
*sharp_image;
sharp_image=SharpenImageChannel(image,DefaultChannels,radius,sigma,exception);
return(sharp_image);
}
MagickExport Image *SharpenImageChannel(const Image *image,
const ChannelType channel,const double radius,const double sigma,
ExceptionInfo *exception)
{
double
gamma,
normalize;
Image
*sharp_image;
KernelInfo
*kernel_info;
register ssize_t
i;
size_t
width;
ssize_t
j,
u,
v;
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);
width=GetOptimalKernelWidth2D(radius,sigma);
kernel_info=AcquireKernelInfo((const char *) NULL);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
(void) ResetMagickMemory(kernel_info,0,sizeof(*kernel_info));
kernel_info->width=width;
kernel_info->height=width;
kernel_info->x=(ssize_t) (width-1)/2;
kernel_info->y=(ssize_t) (width-1)/2;
kernel_info->signature=MagickSignature;
kernel_info->values=(double *) MagickAssumeAligned(AcquireAlignedMemory(
kernel_info->width,kernel_info->height*sizeof(*kernel_info->values)));
if (kernel_info->values == (double *) NULL)
{
kernel_info=DestroyKernelInfo(kernel_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
normalize=0.0;
j=(ssize_t) (kernel_info->width-1)/2;
i=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
{
kernel_info->values[i]=(double) (-exp(-((double) u*u+v*v)/(2.0*
MagickSigma*MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
normalize+=kernel_info->values[i];
i++;
}
}
kernel_info->values[i/2]=(double) ((-2.0)*normalize);
normalize=0.0;
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
normalize+=kernel_info->values[i];
gamma=PerceptibleReciprocal(normalize);
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
kernel_info->values[i]*=gamma;
sharp_image=MorphologyApply(image,channel,ConvolveMorphology,1,kernel_info,
UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
return(sharp_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S p r e a d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SpreadImage() is a special effects method that randomly displaces each
% pixel in a block defined by the radius parameter.
%
% The format of the SpreadImage method is:
%
% Image *SpreadImage(const Image *image,const double radius,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: Choose a random pixel in a neighborhood of this extent.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SpreadImage(const Image *image,const double radius,
ExceptionInfo *exception)
{
#define SpreadImageTag "Spread/Image"
CacheView
*image_view,
*spread_view;
Image
*spread_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
bias;
RandomInfo
**restrict random_info;
size_t
width;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
/*
Initialize spread 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);
spread_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (spread_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(spread_image,DirectClass) == MagickFalse)
{
InheritException(exception,&spread_image->exception);
spread_image=DestroyImage(spread_image);
return((Image *) NULL);
}
/*
Spread image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(spread_image,&bias);
width=GetOptimalKernelWidth1D(radius,0.5);
random_info=AcquireRandomInfoThreadSet();
image_view=AcquireVirtualCacheView(image,exception);
spread_view=AcquireAuthenticCacheView(spread_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,spread_image,spread_image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) spread_image->rows; y++)
{
const int
id = GetOpenMPThreadId();
MagickPixelPacket
pixel;
register IndexPacket
*restrict indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(spread_view,0,y,spread_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(spread_view);
pixel=bias;
for (x=0; x < (ssize_t) spread_image->columns; x++)
{
(void) InterpolateMagickPixelPacket(image,image_view,
UndefinedInterpolatePixel,(double) x+width*(GetPseudoRandomValue(
random_info[id])-0.5),(double) y+width*(GetPseudoRandomValue(
random_info[id])-0.5),&pixel,exception);
SetPixelPacket(spread_image,&pixel,q,indexes+x);
q++;
}
if (SyncCacheViewAuthenticPixels(spread_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SpreadImage)
#endif
proceed=SetImageProgress(image,SpreadImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
spread_view=DestroyCacheView(spread_view);
image_view=DestroyCacheView(image_view);
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
spread_image=DestroyImage(spread_image);
return(spread_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% U n s h a r p M a s k I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% UnsharpMaskImage() sharpens one or more image channels. We convolve the
% image with a Gaussian operator of the given radius and standard deviation
% (sigma). For reasonable results, radius should be larger than sigma. Use a
% radius of 0 and UnsharpMaskImage() selects a suitable radius for you.
%
% The format of the UnsharpMaskImage method is:
%
% Image *UnsharpMaskImage(const Image *image,const double radius,
% const double sigma,const double amount,const double threshold,
% ExceptionInfo *exception)
% Image *UnsharpMaskImageChannel(const Image *image,
% const ChannelType channel,const double radius,const double sigma,
% const double gain,const double threshold,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o gain: the percentage of the difference between the original and the
% blur image that is added back into the original.
%
% o threshold: the threshold in pixels needed to apply the diffence gain.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *UnsharpMaskImage(const Image *image,const double radius,
const double sigma,const double gain,const double threshold,
ExceptionInfo *exception)
{
Image
*sharp_image;
sharp_image=UnsharpMaskImageChannel(image,DefaultChannels,radius,sigma,gain,
threshold,exception);
return(sharp_image);
}
MagickExport Image *UnsharpMaskImageChannel(const Image *image,
const ChannelType channel,const double radius,const double sigma,
const double gain,const double threshold,ExceptionInfo *exception)
{
#define SharpenImageTag "Sharpen/Image"
CacheView
*image_view,
*unsharp_view;
Image
*unsharp_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
bias;
MagickRealType
quantum_threshold;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
unsharp_image=AccelerateUnsharpMaskImage(image,channel,radius,sigma,gain,
threshold,exception);
if (unsharp_image != (Image *) NULL)
return(unsharp_image);
unsharp_image=BlurImageChannel(image,(ChannelType) (channel &~ SyncChannels),
radius,sigma,exception);
if (unsharp_image == (Image *) NULL)
return((Image *) NULL);
quantum_threshold=(MagickRealType) QuantumRange*threshold;
/*
Unsharp-mask image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(image,&bias);
image_view=AcquireVirtualCacheView(image,exception);
unsharp_view=AcquireAuthenticCacheView(unsharp_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,unsharp_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
DoublePixelPacket
pixel;
register const IndexPacket
*restrict indexes;
register const PixelPacket
*restrict p;
register IndexPacket
*restrict unsharp_indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewAuthenticPixels(unsharp_view,0,y,unsharp_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
unsharp_indexes=GetCacheViewAuthenticIndexQueue(unsharp_view);
pixel.red=bias.red;
pixel.green=bias.green;
pixel.blue=bias.blue;
pixel.opacity=bias.opacity;
pixel.index=bias.index;
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
{
pixel.red=GetPixelRed(p)-(MagickRealType) GetPixelRed(q);
if (fabs(2.0*pixel.red) < quantum_threshold)
pixel.red=(MagickRealType) GetPixelRed(p);
else
pixel.red=(MagickRealType) GetPixelRed(p)+(pixel.red*gain);
SetPixelRed(q,ClampToQuantum(pixel.red));
}
if ((channel & GreenChannel) != 0)
{
pixel.green=GetPixelGreen(p)-(MagickRealType) q->green;
if (fabs(2.0*pixel.green) < quantum_threshold)
pixel.green=(MagickRealType) GetPixelGreen(p);
else
pixel.green=(MagickRealType) GetPixelGreen(p)+(pixel.green*gain);
SetPixelGreen(q,ClampToQuantum(pixel.green));
}
if ((channel & BlueChannel) != 0)
{
pixel.blue=GetPixelBlue(p)-(MagickRealType) q->blue;
if (fabs(2.0*pixel.blue) < quantum_threshold)
pixel.blue=(MagickRealType) GetPixelBlue(p);
else
pixel.blue=(MagickRealType) GetPixelBlue(p)+(pixel.blue*gain);
SetPixelBlue(q,ClampToQuantum(pixel.blue));
}
if ((channel & OpacityChannel) != 0)
{
pixel.opacity=GetPixelOpacity(p)-(MagickRealType) q->opacity;
if (fabs(2.0*pixel.opacity) < quantum_threshold)
pixel.opacity=(MagickRealType) GetPixelOpacity(p);
else
pixel.opacity=GetPixelOpacity(p)+(pixel.opacity*gain);
SetPixelOpacity(q,ClampToQuantum(pixel.opacity));
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
pixel.index=GetPixelIndex(indexes+x)-(MagickRealType)
GetPixelIndex(unsharp_indexes+x);
if (fabs(2.0*pixel.index) < quantum_threshold)
pixel.index=(MagickRealType) GetPixelIndex(indexes+x);
else
pixel.index=(MagickRealType) GetPixelIndex(indexes+x)+
(pixel.index*gain);
SetPixelIndex(unsharp_indexes+x,ClampToQuantum(pixel.index));
}
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(unsharp_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_UnsharpMaskImageChannel)
#endif
proceed=SetImageProgress(image,SharpenImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
unsharp_image->type=image->type;
unsharp_view=DestroyCacheView(unsharp_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
unsharp_image=DestroyImage(unsharp_image);
return(unsharp_image);
}
|
CCGSubSurf.c | /* $Id: CCGSubSurf.c 40903 2011-10-10 09:38:02Z campbellbarton $ */
/** \file blender/blenkernel/intern/CCGSubSurf.c
* \ingroup bke
*/
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "CCGSubSurf.h"
#include "MEM_guardedalloc.h"
#include "BLO_sys_types.h" // for intptr_t support
#ifdef _MSC_VER
#define CCG_INLINE __inline
#else
#define CCG_INLINE inline
#endif
/* copied from BKE_utildefines.h ugh */
#ifdef __GNUC__
# define UNUSED(x) UNUSED_ ## x __attribute__((__unused__))
#else
# define UNUSED(x) x
#endif
/* used for normalize_v3 in BLI_math_vector
* float.h's FLT_EPSILON causes trouble with subsurf normals - campbell */
#define EPSILON (1.0e-35f)
/***/
typedef unsigned char byte;
/***/
static int kHashSizes[] = {
1, 3, 5, 11, 17, 37, 67, 131, 257, 521, 1031, 2053, 4099, 8209,
16411, 32771, 65537, 131101, 262147, 524309, 1048583, 2097169,
4194319, 8388617, 16777259, 33554467, 67108879, 134217757, 268435459
};
typedef struct _EHEntry EHEntry;
struct _EHEntry {
EHEntry *next;
void *key;
};
typedef struct _EHash {
EHEntry **buckets;
int numEntries, curSize, curSizeIdx;
CCGAllocatorIFC allocatorIFC;
CCGAllocatorHDL allocator;
} EHash;
#define EHASH_alloc(eh, nb) ((eh)->allocatorIFC.alloc((eh)->allocator, nb))
#define EHASH_free(eh, ptr) ((eh)->allocatorIFC.free((eh)->allocator, ptr))
#define EHASH_hash(eh, item) (((uintptr_t) (item))%((unsigned int) (eh)->curSize))
static EHash *_ehash_new(int estimatedNumEntries, CCGAllocatorIFC *allocatorIFC, CCGAllocatorHDL allocator) {
EHash *eh = allocatorIFC->alloc(allocator, sizeof(*eh));
eh->allocatorIFC = *allocatorIFC;
eh->allocator = allocator;
eh->numEntries = 0;
eh->curSizeIdx = 0;
while (kHashSizes[eh->curSizeIdx]<estimatedNumEntries)
eh->curSizeIdx++;
eh->curSize = kHashSizes[eh->curSizeIdx];
eh->buckets = EHASH_alloc(eh, eh->curSize*sizeof(*eh->buckets));
memset(eh->buckets, 0, eh->curSize*sizeof(*eh->buckets));
return eh;
}
typedef void (*EHEntryFreeFP)(EHEntry *, void *);
static void _ehash_free(EHash *eh, EHEntryFreeFP freeEntry, void *userData) {
int numBuckets = eh->curSize;
while (numBuckets--) {
EHEntry *entry = eh->buckets[numBuckets];
while (entry) {
EHEntry *next = entry->next;
freeEntry(entry, userData);
entry = next;
}
}
EHASH_free(eh, eh->buckets);
EHASH_free(eh, eh);
}
static void _ehash_insert(EHash *eh, EHEntry *entry) {
int numBuckets = eh->curSize;
int hash = EHASH_hash(eh, entry->key);
entry->next = eh->buckets[hash];
eh->buckets[hash] = entry;
eh->numEntries++;
if (eh->numEntries > (numBuckets*3)) {
EHEntry **oldBuckets = eh->buckets;
eh->curSize = kHashSizes[++eh->curSizeIdx];
eh->buckets = EHASH_alloc(eh, eh->curSize*sizeof(*eh->buckets));
memset(eh->buckets, 0, eh->curSize*sizeof(*eh->buckets));
while (numBuckets--) {
for (entry = oldBuckets[numBuckets]; entry;) {
EHEntry *next = entry->next;
hash = EHASH_hash(eh, entry->key);
entry->next = eh->buckets[hash];
eh->buckets[hash] = entry;
entry = next;
}
}
EHASH_free(eh, oldBuckets);
}
}
static void *_ehash_lookupWithPrev(EHash *eh, void *key, void ***prevp_r) {
int hash = EHASH_hash(eh, key);
void **prevp = (void**) &eh->buckets[hash];
EHEntry *entry;
for (; (entry = *prevp); prevp = (void**) &entry->next) {
if (entry->key==key) {
*prevp_r = (void**) prevp;
return entry;
}
}
return NULL;
}
static void *_ehash_lookup(EHash *eh, void *key) {
int hash = EHASH_hash(eh, key);
EHEntry *entry;
for (entry = eh->buckets[hash]; entry; entry = entry->next)
if (entry->key==key)
break;
return entry;
}
/**/
typedef struct _EHashIterator {
EHash *eh;
int curBucket;
EHEntry *curEntry;
} EHashIterator;
static EHashIterator *_ehashIterator_new(EHash *eh) {
EHashIterator *ehi = EHASH_alloc(eh, sizeof(*ehi));
ehi->eh = eh;
ehi->curEntry = NULL;
ehi->curBucket = -1;
while (!ehi->curEntry) {
ehi->curBucket++;
if (ehi->curBucket==ehi->eh->curSize)
break;
ehi->curEntry = ehi->eh->buckets[ehi->curBucket];
}
return ehi;
}
static void _ehashIterator_free(EHashIterator *ehi) {
EHASH_free(ehi->eh, ehi);
}
static void *_ehashIterator_getCurrent(EHashIterator *ehi) {
return ehi->curEntry;
}
static void _ehashIterator_next(EHashIterator *ehi) {
if (ehi->curEntry) {
ehi->curEntry = ehi->curEntry->next;
while (!ehi->curEntry) {
ehi->curBucket++;
if (ehi->curBucket==ehi->eh->curSize)
break;
ehi->curEntry = ehi->eh->buckets[ehi->curBucket];
}
}
}
static int _ehashIterator_isStopped(EHashIterator *ehi) {
return !ehi->curEntry;
}
/***/
static void *_stdAllocator_alloc(CCGAllocatorHDL UNUSED(a), int numBytes) {
return malloc(numBytes);
}
static void *_stdAllocator_realloc(CCGAllocatorHDL UNUSED(a), void *ptr, int newSize, int UNUSED(oldSize)) {
return realloc(ptr, newSize);
}
static void _stdAllocator_free(CCGAllocatorHDL UNUSED(a), void *ptr) {
free(ptr);
}
static CCGAllocatorIFC *_getStandardAllocatorIFC(void) {
static CCGAllocatorIFC ifc;
ifc.alloc = _stdAllocator_alloc;
ifc.realloc = _stdAllocator_realloc;
ifc.free = _stdAllocator_free;
ifc.release = NULL;
return &ifc;
}
/***/
static int VertDataEqual(float *a, float *b) {
return a[0]==b[0] && a[1]==b[1] && a[2]==b[2];
}
#define VertDataZero(av) { float *_a = (float*) av; _a[0] = _a[1] = _a[2] = 0.0f; }
#define VertDataCopy(av, bv) { float *_a = (float*) av, *_b = (float*) bv; _a[0] =_b[0]; _a[1] =_b[1]; _a[2] =_b[2]; }
#define VertDataAdd(av, bv) { float *_a = (float*) av, *_b = (float*) bv; _a[0]+=_b[0]; _a[1]+=_b[1]; _a[2]+=_b[2]; }
#define VertDataSub(av, bv) { float *_a = (float*) av, *_b = (float*) bv; _a[0]-=_b[0]; _a[1]-=_b[1]; _a[2]-=_b[2]; }
#define VertDataMulN(av, n) { float *_a = (float*) av; _a[0]*=n; _a[1]*=n; _a[2]*=n; }
#define VertDataAvg4(tv, av, bv, cv, dv) \
{ \
float *_t = (float*) tv, *_a = (float*) av, *_b = (float*) bv, *_c = (float*) cv, *_d = (float*) dv; \
_t[0] = (_a[0]+_b[0]+_c[0]+_d[0])*.25f; \
_t[1] = (_a[1]+_b[1]+_c[1]+_d[1])*.25f; \
_t[2] = (_a[2]+_b[2]+_c[2]+_d[2])*.25f; \
}
#define NormZero(av) { float *_a = (float*) av; _a[0] = _a[1] = _a[2] = 0.0f; }
#define NormCopy(av, bv) { float *_a = (float*) av, *_b = (float*) bv; _a[0] =_b[0]; _a[1] =_b[1]; _a[2] =_b[2]; }
#define NormAdd(av, bv) { float *_a = (float*) av, *_b = (float*) bv; _a[0]+=_b[0]; _a[1]+=_b[1]; _a[2]+=_b[2]; }
static int _edge_isBoundary(CCGEdge *e);
/***/
enum {
Vert_eEffected= (1<<0),
Vert_eChanged= (1<<1),
Vert_eSeam= (1<<2),
} /*VertFlags*/;
enum {
Edge_eEffected= (1<<0),
} /*CCGEdgeFlags*/;
enum {
Face_eEffected= (1<<0),
} /*FaceFlags*/;
struct _CCGVert {
CCGVert *next; /* EHData.next */
CCGVertHDL vHDL; /* EHData.key */
short numEdges, numFaces, flags, pad;
CCGEdge **edges;
CCGFace **faces;
// byte *levelData;
// byte *userData;
};
#define VERT_getLevelData(v) ((byte*) &(v)[1])
struct _CCGEdge {
CCGEdge *next; /* EHData.next */
CCGEdgeHDL eHDL; /* EHData.key */
short numFaces, flags;
float crease;
CCGVert *v0,*v1;
CCGFace **faces;
// byte *levelData;
// byte *userData;
};
#define EDGE_getLevelData(e) ((byte*) &(e)[1])
struct _CCGFace {
CCGFace *next; /* EHData.next */
CCGFaceHDL fHDL; /* EHData.key */
short numVerts, flags, pad1, pad2;
// CCGVert **verts;
// CCGEdge **edges;
// byte *centerData;
// byte **gridData;
// byte *userData;
};
#define FACE_getVerts(f) ((CCGVert**) &(f)[1])
#define FACE_getEdges(f) ((CCGEdge**) &(FACE_getVerts(f)[(f)->numVerts]))
#define FACE_getCenterData(f) ((byte*) &(FACE_getEdges(f)[(f)->numVerts]))
typedef enum {
eSyncState_None = 0,
eSyncState_Vert,
eSyncState_Edge,
eSyncState_Face,
eSyncState_Partial,
} SyncState;
struct _CCGSubSurf {
EHash *vMap; /* map of CCGVertHDL -> Vert */
EHash *eMap; /* map of CCGEdgeHDL -> Edge */
EHash *fMap; /* map of CCGFaceHDL -> Face */
CCGMeshIFC meshIFC;
CCGAllocatorIFC allocatorIFC;
CCGAllocatorHDL allocator;
int subdivLevels;
int numGrids;
int allowEdgeCreation;
float defaultCreaseValue;
void *defaultEdgeUserData;
void *q, *r;
// data for calc vert normals
int calcVertNormals;
int normalDataOffset;
// data for age'ing (to debug sync)
int currentAge;
int useAgeCounts;
int vertUserAgeOffset;
int edgeUserAgeOffset;
int faceUserAgeOffset;
// data used during syncing
SyncState syncState;
EHash *oldVMap, *oldEMap, *oldFMap;
int lenTempArrays;
CCGVert **tempVerts;
CCGEdge **tempEdges;
};
#define CCGSUBSURF_alloc(ss, nb) ((ss)->allocatorIFC.alloc((ss)->allocator, nb))
#define CCGSUBSURF_realloc(ss, ptr, nb, ob) ((ss)->allocatorIFC.realloc((ss)->allocator, ptr, nb, ob))
#define CCGSUBSURF_free(ss, ptr) ((ss)->allocatorIFC.free((ss)->allocator, ptr))
/***/
static CCGVert *_vert_new(CCGVertHDL vHDL, CCGSubSurf *ss) {
CCGVert *v = CCGSUBSURF_alloc(ss, sizeof(CCGVert) + ss->meshIFC.vertDataSize * (ss->subdivLevels+1) + ss->meshIFC.vertUserSize);
byte *userData;
v->vHDL = vHDL;
v->edges = NULL;
v->faces = NULL;
v->numEdges = v->numFaces = 0;
v->flags = 0;
userData = ccgSubSurf_getVertUserData(ss, v);
memset(userData, 0, ss->meshIFC.vertUserSize);
if (ss->useAgeCounts) *((int*) &userData[ss->vertUserAgeOffset]) = ss->currentAge;
return v;
}
static void _vert_remEdge(CCGVert *v, CCGEdge *e) {
int i;
for (i=0; i<v->numEdges; i++) {
if (v->edges[i]==e) {
v->edges[i] = v->edges[--v->numEdges];
break;
}
}
}
static void _vert_remFace(CCGVert *v, CCGFace *f) {
int i;
for (i=0; i<v->numFaces; i++) {
if (v->faces[i]==f) {
v->faces[i] = v->faces[--v->numFaces];
break;
}
}
}
static void _vert_addEdge(CCGVert *v, CCGEdge *e, CCGSubSurf *ss) {
v->edges = CCGSUBSURF_realloc(ss, v->edges, (v->numEdges+1)*sizeof(*v->edges), v->numEdges*sizeof(*v->edges));
v->edges[v->numEdges++] = e;
}
static void _vert_addFace(CCGVert *v, CCGFace *f, CCGSubSurf *ss) {
v->faces = CCGSUBSURF_realloc(ss, v->faces, (v->numFaces+1)*sizeof(*v->faces), v->numFaces*sizeof(*v->faces));
v->faces[v->numFaces++] = f;
}
static CCGEdge *_vert_findEdgeTo(CCGVert *v, CCGVert *vQ) {
int i;
for (i=0; i<v->numEdges; i++) {
CCGEdge *e = v->edges[v->numEdges-1-i]; // XXX, note reverse
if ( (e->v0==v && e->v1==vQ) ||
(e->v1==v && e->v0==vQ))
return e;
}
return NULL;
}
static int _vert_isBoundary(CCGVert *v) {
int i;
for (i=0; i<v->numEdges; i++)
if (_edge_isBoundary(v->edges[i]))
return 1;
return 0;
}
static void *_vert_getCo(CCGVert *v, int lvl, int dataSize) {
return &VERT_getLevelData(v)[lvl*dataSize];
}
static float *_vert_getNo(CCGVert *v, int lvl, int dataSize, int normalDataOffset) {
return (float*) &VERT_getLevelData(v)[lvl*dataSize + normalDataOffset];
}
static void _vert_free(CCGVert *v, CCGSubSurf *ss) {
CCGSUBSURF_free(ss, v->edges);
CCGSUBSURF_free(ss, v->faces);
CCGSUBSURF_free(ss, v);
}
static int VERT_seam(CCGVert *v) {
return ((v->flags & Vert_eSeam) != 0);
}
/***/
static CCGEdge *_edge_new(CCGEdgeHDL eHDL, CCGVert *v0, CCGVert *v1, float crease, CCGSubSurf *ss) {
CCGEdge *e = CCGSUBSURF_alloc(ss, sizeof(CCGEdge) + ss->meshIFC.vertDataSize *((ss->subdivLevels+1) + (1<<(ss->subdivLevels+1))-1) + ss->meshIFC.edgeUserSize);
byte *userData;
e->eHDL = eHDL;
e->v0 = v0;
e->v1 = v1;
e->crease = crease;
e->faces = NULL;
e->numFaces = 0;
e->flags = 0;
_vert_addEdge(v0, e, ss);
_vert_addEdge(v1, e, ss);
userData = ccgSubSurf_getEdgeUserData(ss, e);
memset(userData, 0, ss->meshIFC.edgeUserSize);
if (ss->useAgeCounts) *((int*) &userData[ss->edgeUserAgeOffset]) = ss->currentAge;
return e;
}
static void _edge_remFace(CCGEdge *e, CCGFace *f) {
int i;
for (i=0; i<e->numFaces; i++) {
if (e->faces[i]==f) {
e->faces[i] = e->faces[--e->numFaces];
break;
}
}
}
static void _edge_addFace(CCGEdge *e, CCGFace *f, CCGSubSurf *ss) {
e->faces = CCGSUBSURF_realloc(ss, e->faces, (e->numFaces+1)*sizeof(*e->faces), e->numFaces*sizeof(*e->faces));
e->faces[e->numFaces++] = f;
}
static int _edge_isBoundary(CCGEdge *e) {
return e->numFaces<2;
}
static CCGVert *_edge_getOtherVert(CCGEdge *e, CCGVert *vQ) {
if (vQ==e->v0) {
return e->v1;
} else {
return e->v0;
}
}
static void *_edge_getCo(CCGEdge *e, int lvl, int x, int dataSize) {
int levelBase = lvl + (1<<lvl) - 1;
return &EDGE_getLevelData(e)[dataSize*(levelBase + x)];
}
static float *_edge_getNo(CCGEdge *e, int lvl, int x, int dataSize, int normalDataOffset) {
int levelBase = lvl + (1<<lvl) - 1;
return (float*) &EDGE_getLevelData(e)[dataSize*(levelBase + x) + normalDataOffset];
}
static void *_edge_getCoVert(CCGEdge *e, CCGVert *v, int lvl, int x, int dataSize) {
int levelBase = lvl + (1<<lvl) - 1;
if (v==e->v0) {
return &EDGE_getLevelData(e)[dataSize*(levelBase + x)];
} else {
return &EDGE_getLevelData(e)[dataSize*(levelBase + (1<<lvl) - x)];
}
}
static void _edge_free(CCGEdge *e, CCGSubSurf *ss) {
CCGSUBSURF_free(ss, e->faces);
CCGSUBSURF_free(ss, e);
}
static void _edge_unlinkMarkAndFree(CCGEdge *e, CCGSubSurf *ss) {
_vert_remEdge(e->v0, e);
_vert_remEdge(e->v1, e);
e->v0->flags |= Vert_eEffected;
e->v1->flags |= Vert_eEffected;
_edge_free(e, ss);
}
static float EDGE_getSharpness(CCGEdge *e, int lvl) {
if (!lvl)
return e->crease;
else if (!e->crease)
return 0.0f;
else if (e->crease - lvl < 0.0f)
return 0.0f;
else
return e->crease - lvl;
}
static CCGFace *_face_new(CCGFaceHDL fHDL, CCGVert **verts, CCGEdge **edges, int numVerts, CCGSubSurf *ss) {
int maxGridSize = 1 + (1<<(ss->subdivLevels-1));
CCGFace *f = CCGSUBSURF_alloc(ss, sizeof(CCGFace) + sizeof(CCGVert*)*numVerts + sizeof(CCGEdge*)*numVerts + ss->meshIFC.vertDataSize *(1 + numVerts*maxGridSize + numVerts*maxGridSize*maxGridSize) + ss->meshIFC.faceUserSize);
byte *userData;
int i;
f->numVerts = numVerts;
f->fHDL = fHDL;
f->flags = 0;
for (i=0; i<numVerts; i++) {
FACE_getVerts(f)[i] = verts[i];
FACE_getEdges(f)[i] = edges[i];
_vert_addFace(verts[i], f, ss);
_edge_addFace(edges[i], f, ss);
}
userData = ccgSubSurf_getFaceUserData(ss, f);
memset(userData, 0, ss->meshIFC.faceUserSize);
if (ss->useAgeCounts) *((int*) &userData[ss->faceUserAgeOffset]) = ss->currentAge;
return f;
}
static CCG_INLINE void *_face_getIECo(CCGFace *f, int lvl, int S, int x, int levels, int dataSize) {
int maxGridSize = 1 + (1<<(levels-1));
int spacing = 1<<(levels-lvl);
byte *gridBase = FACE_getCenterData(f) + dataSize*(1 + S*(maxGridSize + maxGridSize*maxGridSize));
return &gridBase[dataSize*x*spacing];
}
static CCG_INLINE void *_face_getIENo(CCGFace *f, int lvl, int S, int x, int levels, int dataSize, int normalDataOffset) {
int maxGridSize = 1 + (1<<(levels-1));
int spacing = 1<<(levels-lvl);
byte *gridBase = FACE_getCenterData(f) + dataSize*(1 + S*(maxGridSize + maxGridSize*maxGridSize));
return &gridBase[dataSize*x*spacing + normalDataOffset];
}
static CCG_INLINE void *_face_getIFCo(CCGFace *f, int lvl, int S, int x, int y, int levels, int dataSize) {
int maxGridSize = 1 + (1<<(levels-1));
int spacing = 1<<(levels-lvl);
byte *gridBase = FACE_getCenterData(f) + dataSize*(1 + S*(maxGridSize + maxGridSize*maxGridSize));
return &gridBase[dataSize*(maxGridSize + (y*maxGridSize + x)*spacing)];
}
static CCG_INLINE float *_face_getIFNo(CCGFace *f, int lvl, int S, int x, int y, int levels, int dataSize, int normalDataOffset) {
int maxGridSize = 1 + (1<<(levels-1));
int spacing = 1<<(levels-lvl);
byte *gridBase = FACE_getCenterData(f) + dataSize*(1 + S*(maxGridSize + maxGridSize*maxGridSize));
return (float*) &gridBase[dataSize*(maxGridSize + (y*maxGridSize + x)*spacing) + normalDataOffset];
}
static int _face_getVertIndex(CCGFace *f, CCGVert *v) {
int i;
for (i=0; i<f->numVerts; i++)
if (FACE_getVerts(f)[i]==v)
return i;
return -1;
}
static CCG_INLINE void *_face_getIFCoEdge(CCGFace *f, CCGEdge *e, int lvl, int eX, int eY, int levels, int dataSize) {
int maxGridSize = 1 + (1<<(levels-1));
int spacing = 1<<(levels-lvl);
int S, x, y, cx, cy;
for (S=0; S<f->numVerts; S++)
if (FACE_getEdges(f)[S]==e)
break;
eX = eX*spacing;
eY = eY*spacing;
if (e->v0!=FACE_getVerts(f)[S]) {
eX = (maxGridSize*2 - 1)-1 - eX;
}
y = maxGridSize - 1 - eX;
x = maxGridSize - 1 - eY;
if (x<0) {
S = (S+f->numVerts-1)%f->numVerts;
cx = y;
cy = -x;
} else if (y<0) {
S = (S+1)%f->numVerts;
cx = -y;
cy = x;
} else {
cx = x;
cy = y;
}
return _face_getIFCo(f, levels, S, cx, cy, levels, dataSize);
}
static float *_face_getIFNoEdge(CCGFace *f, CCGEdge *e, int lvl, int eX, int eY, int levels, int dataSize, int normalDataOffset) {
return (float*) ((byte*) _face_getIFCoEdge(f, e, lvl, eX, eY, levels, dataSize) + normalDataOffset);
}
static void _face_calcIFNo(CCGFace *f, int lvl, int S, int x, int y, float *no, int levels, int dataSize) {
float *a = _face_getIFCo(f, lvl, S, x+0, y+0, levels, dataSize);
float *b = _face_getIFCo(f, lvl, S, x+1, y+0, levels, dataSize);
float *c = _face_getIFCo(f, lvl, S, x+1, y+1, levels, dataSize);
float *d = _face_getIFCo(f, lvl, S, x+0, y+1, levels, dataSize);
float a_cX = c[0]-a[0], a_cY = c[1]-a[1], a_cZ = c[2]-a[2];
float b_dX = d[0]-b[0], b_dY = d[1]-b[1], b_dZ = d[2]-b[2];
float length;
no[0] = b_dY*a_cZ - b_dZ*a_cY;
no[1] = b_dZ*a_cX - b_dX*a_cZ;
no[2] = b_dX*a_cY - b_dY*a_cX;
length = sqrt(no[0]*no[0] + no[1]*no[1] + no[2]*no[2]);
if (length>EPSILON) {
float invLength = 1.f/length;
no[0] *= invLength;
no[1] *= invLength;
no[2] *= invLength;
} else {
NormZero(no);
}
}
static void _face_free(CCGFace *f, CCGSubSurf *ss) {
CCGSUBSURF_free(ss, f);
}
static void _face_unlinkMarkAndFree(CCGFace *f, CCGSubSurf *ss) {
int j;
for (j=0; j<f->numVerts; j++) {
_vert_remFace(FACE_getVerts(f)[j], f);
_edge_remFace(FACE_getEdges(f)[j], f);
FACE_getVerts(f)[j]->flags |= Vert_eEffected;
}
_face_free(f, ss);
}
/***/
CCGSubSurf *ccgSubSurf_new(CCGMeshIFC *ifc, int subdivLevels, CCGAllocatorIFC *allocatorIFC, CCGAllocatorHDL allocator) {
if (!allocatorIFC) {
allocatorIFC = _getStandardAllocatorIFC();
allocator = NULL;
}
if (subdivLevels<1) {
return NULL;
} else {
CCGSubSurf *ss = allocatorIFC->alloc(allocator, sizeof(*ss));
ss->allocatorIFC = *allocatorIFC;
ss->allocator = allocator;
ss->vMap = _ehash_new(0, &ss->allocatorIFC, ss->allocator);
ss->eMap = _ehash_new(0, &ss->allocatorIFC, ss->allocator);
ss->fMap = _ehash_new(0, &ss->allocatorIFC, ss->allocator);
ss->meshIFC = *ifc;
ss->subdivLevels = subdivLevels;
ss->numGrids = 0;
ss->allowEdgeCreation = 0;
ss->defaultCreaseValue = 0;
ss->defaultEdgeUserData = NULL;
ss->useAgeCounts = 0;
ss->vertUserAgeOffset = ss->edgeUserAgeOffset = ss->faceUserAgeOffset = 0;
ss->calcVertNormals = 0;
ss->normalDataOffset = 0;
ss->q = CCGSUBSURF_alloc(ss, ss->meshIFC.vertDataSize);
ss->r = CCGSUBSURF_alloc(ss, ss->meshIFC.vertDataSize);
ss->currentAge = 0;
ss->syncState = eSyncState_None;
ss->oldVMap = ss->oldEMap = ss->oldFMap = NULL;
ss->lenTempArrays = 0;
ss->tempVerts = NULL;
ss->tempEdges = NULL;
return ss;
}
}
void ccgSubSurf_free(CCGSubSurf *ss) {
CCGAllocatorIFC allocatorIFC = ss->allocatorIFC;
CCGAllocatorHDL allocator = ss->allocator;
if (ss->syncState) {
_ehash_free(ss->oldFMap, (EHEntryFreeFP) _face_free, ss);
_ehash_free(ss->oldEMap, (EHEntryFreeFP) _edge_free, ss);
_ehash_free(ss->oldVMap, (EHEntryFreeFP) _vert_free, ss);
MEM_freeN(ss->tempVerts);
MEM_freeN(ss->tempEdges);
}
CCGSUBSURF_free(ss, ss->r);
CCGSUBSURF_free(ss, ss->q);
if (ss->defaultEdgeUserData) CCGSUBSURF_free(ss, ss->defaultEdgeUserData);
_ehash_free(ss->fMap, (EHEntryFreeFP) _face_free, ss);
_ehash_free(ss->eMap, (EHEntryFreeFP) _edge_free, ss);
_ehash_free(ss->vMap, (EHEntryFreeFP) _vert_free, ss);
CCGSUBSURF_free(ss, ss);
if (allocatorIFC.release) {
allocatorIFC.release(allocator);
}
}
CCGError ccgSubSurf_setAllowEdgeCreation(CCGSubSurf *ss, int allowEdgeCreation, float defaultCreaseValue, void *defaultUserData) {
if (ss->defaultEdgeUserData) {
CCGSUBSURF_free(ss, ss->defaultEdgeUserData);
}
ss->allowEdgeCreation = !!allowEdgeCreation;
ss->defaultCreaseValue = defaultCreaseValue;
ss->defaultEdgeUserData = CCGSUBSURF_alloc(ss, ss->meshIFC.edgeUserSize);
if (defaultUserData) {
memcpy(ss->defaultEdgeUserData, defaultUserData, ss->meshIFC.edgeUserSize);
} else {
memset(ss->defaultEdgeUserData, 0, ss->meshIFC.edgeUserSize);
}
return eCCGError_None;
}
void ccgSubSurf_getAllowEdgeCreation(CCGSubSurf *ss, int *allowEdgeCreation_r, float *defaultCreaseValue_r, void *defaultUserData_r) {
if (allowEdgeCreation_r) *allowEdgeCreation_r = ss->allowEdgeCreation;
if (ss->allowEdgeCreation) {
if (defaultCreaseValue_r) *defaultCreaseValue_r = ss->defaultCreaseValue;
if (defaultUserData_r) memcpy(defaultUserData_r, ss->defaultEdgeUserData, ss->meshIFC.edgeUserSize);
}
}
CCGError ccgSubSurf_setSubdivisionLevels(CCGSubSurf *ss, int subdivisionLevels) {
if (subdivisionLevels<=0) {
return eCCGError_InvalidValue;
} else if (subdivisionLevels!=ss->subdivLevels) {
ss->numGrids = 0;
ss->subdivLevels = subdivisionLevels;
_ehash_free(ss->vMap, (EHEntryFreeFP) _vert_free, ss);
_ehash_free(ss->eMap, (EHEntryFreeFP) _edge_free, ss);
_ehash_free(ss->fMap, (EHEntryFreeFP) _face_free, ss);
ss->vMap = _ehash_new(0, &ss->allocatorIFC, ss->allocator);
ss->eMap = _ehash_new(0, &ss->allocatorIFC, ss->allocator);
ss->fMap = _ehash_new(0, &ss->allocatorIFC, ss->allocator);
}
return eCCGError_None;
}
void ccgSubSurf_getUseAgeCounts(CCGSubSurf *ss, int *useAgeCounts_r, int *vertUserOffset_r, int *edgeUserOffset_r, int *faceUserOffset_r)
{
*useAgeCounts_r = ss->useAgeCounts;
if (vertUserOffset_r) *vertUserOffset_r = ss->vertUserAgeOffset;
if (edgeUserOffset_r) *edgeUserOffset_r = ss->edgeUserAgeOffset;
if (faceUserOffset_r) *faceUserOffset_r = ss->faceUserAgeOffset;
}
CCGError ccgSubSurf_setUseAgeCounts(CCGSubSurf *ss, int useAgeCounts, int vertUserOffset, int edgeUserOffset, int faceUserOffset) {
if (useAgeCounts) {
if ( (vertUserOffset+4>ss->meshIFC.vertUserSize) ||
(edgeUserOffset+4>ss->meshIFC.edgeUserSize) ||
(faceUserOffset+4>ss->meshIFC.faceUserSize)) {
return eCCGError_InvalidValue;
} else {
ss->useAgeCounts = 1;
ss->vertUserAgeOffset = vertUserOffset;
ss->edgeUserAgeOffset = edgeUserOffset;
ss->faceUserAgeOffset = faceUserOffset;
}
} else {
ss->useAgeCounts = 0;
ss->vertUserAgeOffset = ss->edgeUserAgeOffset = ss->faceUserAgeOffset = 0;
}
return eCCGError_None;
}
CCGError ccgSubSurf_setCalcVertexNormals(CCGSubSurf *ss, int useVertNormals, int normalDataOffset) {
if (useVertNormals) {
if (normalDataOffset<0 || normalDataOffset+12>ss->meshIFC.vertDataSize) {
return eCCGError_InvalidValue;
} else {
ss->calcVertNormals = 1;
ss->normalDataOffset = normalDataOffset;
}
} else {
ss->calcVertNormals = 0;
ss->normalDataOffset = 0;
}
return eCCGError_None;
}
/***/
CCGError ccgSubSurf_initFullSync(CCGSubSurf *ss) {
if (ss->syncState!=eSyncState_None) {
return eCCGError_InvalidSyncState;
}
ss->currentAge++;
ss->oldVMap = ss->vMap;
ss->oldEMap = ss->eMap;
ss->oldFMap = ss->fMap;
ss->vMap = _ehash_new(0, &ss->allocatorIFC, ss->allocator);
ss->eMap = _ehash_new(0, &ss->allocatorIFC, ss->allocator);
ss->fMap = _ehash_new(0, &ss->allocatorIFC, ss->allocator);
ss->numGrids = 0;
ss->lenTempArrays = 12;
ss->tempVerts = MEM_mallocN(sizeof(*ss->tempVerts)*ss->lenTempArrays, "CCGSubsurf tempVerts");
ss->tempEdges = MEM_mallocN(sizeof(*ss->tempEdges)*ss->lenTempArrays, "CCGSubsurf tempEdges");
ss->syncState = eSyncState_Vert;
return eCCGError_None;
}
CCGError ccgSubSurf_initPartialSync(CCGSubSurf *ss) {
if (ss->syncState!=eSyncState_None) {
return eCCGError_InvalidSyncState;
}
ss->currentAge++;
ss->syncState = eSyncState_Partial;
return eCCGError_None;
}
CCGError ccgSubSurf_syncVertDel(CCGSubSurf *ss, CCGVertHDL vHDL) {
if (ss->syncState!=eSyncState_Partial) {
return eCCGError_InvalidSyncState;
} else {
void **prevp;
CCGVert *v = _ehash_lookupWithPrev(ss->vMap, vHDL, &prevp);
if (!v || v->numFaces || v->numEdges) {
return eCCGError_InvalidValue;
} else {
*prevp = v->next;
_vert_free(v, ss);
}
}
return eCCGError_None;
}
CCGError ccgSubSurf_syncEdgeDel(CCGSubSurf *ss, CCGEdgeHDL eHDL) {
if (ss->syncState!=eSyncState_Partial) {
return eCCGError_InvalidSyncState;
} else {
void **prevp;
CCGEdge *e = _ehash_lookupWithPrev(ss->eMap, eHDL, &prevp);
if (!e || e->numFaces) {
return eCCGError_InvalidValue;
} else {
*prevp = e->next;
_edge_unlinkMarkAndFree(e, ss);
}
}
return eCCGError_None;
}
CCGError ccgSubSurf_syncFaceDel(CCGSubSurf *ss, CCGFaceHDL fHDL) {
if (ss->syncState!=eSyncState_Partial) {
return eCCGError_InvalidSyncState;
} else {
void **prevp;
CCGFace *f = _ehash_lookupWithPrev(ss->fMap, fHDL, &prevp);
if (!f) {
return eCCGError_InvalidValue;
} else {
*prevp = f->next;
_face_unlinkMarkAndFree(f, ss);
}
}
return eCCGError_None;
}
CCGError ccgSubSurf_syncVert(CCGSubSurf *ss, CCGVertHDL vHDL, void *vertData, int seam, CCGVert **v_r) {
void **prevp;
CCGVert *v = NULL;
short seamflag = (seam)? Vert_eSeam: 0;
if (ss->syncState==eSyncState_Partial) {
v = _ehash_lookupWithPrev(ss->vMap, vHDL, &prevp);
if (!v) {
v = _vert_new(vHDL, ss);
VertDataCopy(_vert_getCo(v,0,ss->meshIFC.vertDataSize), vertData);
_ehash_insert(ss->vMap, (EHEntry*) v);
v->flags = Vert_eEffected|seamflag;
} else if (!VertDataEqual(vertData, _vert_getCo(v, 0, ss->meshIFC.vertDataSize)) || ((v->flags & Vert_eSeam) != seamflag)) {
int i, j;
VertDataCopy(_vert_getCo(v,0,ss->meshIFC.vertDataSize), vertData);
v->flags = Vert_eEffected|seamflag;
for (i=0; i<v->numEdges; i++) {
CCGEdge *e = v->edges[i];
e->v0->flags |= Vert_eEffected;
e->v1->flags |= Vert_eEffected;
}
for (i=0; i<v->numFaces; i++) {
CCGFace *f = v->faces[i];
for (j=0; j<f->numVerts; j++) {
FACE_getVerts(f)[j]->flags |= Vert_eEffected;
}
}
}
} else {
if (ss->syncState!=eSyncState_Vert) {
return eCCGError_InvalidSyncState;
}
v = _ehash_lookupWithPrev(ss->oldVMap, vHDL, &prevp);
if (!v) {
v = _vert_new(vHDL, ss);
VertDataCopy(_vert_getCo(v,0,ss->meshIFC.vertDataSize), vertData);
_ehash_insert(ss->vMap, (EHEntry*) v);
v->flags = Vert_eEffected|seamflag;
} else if (!VertDataEqual(vertData, _vert_getCo(v, 0, ss->meshIFC.vertDataSize)) || ((v->flags & Vert_eSeam) != seamflag)) {
*prevp = v->next;
_ehash_insert(ss->vMap, (EHEntry*) v);
VertDataCopy(_vert_getCo(v,0,ss->meshIFC.vertDataSize), vertData);
v->flags = Vert_eEffected|Vert_eChanged|seamflag;
} else {
*prevp = v->next;
_ehash_insert(ss->vMap, (EHEntry*) v);
v->flags = 0;
}
}
if (v_r) *v_r = v;
return eCCGError_None;
}
CCGError ccgSubSurf_syncEdge(CCGSubSurf *ss, CCGEdgeHDL eHDL, CCGVertHDL e_vHDL0, CCGVertHDL e_vHDL1, float crease, CCGEdge **e_r) {
void **prevp;
CCGEdge *e = NULL, *eNew;
if (ss->syncState==eSyncState_Partial) {
e = _ehash_lookupWithPrev(ss->eMap, eHDL, &prevp);
if (!e || e->v0->vHDL!=e_vHDL0 || e->v1->vHDL!=e_vHDL1 || crease!=e->crease) {
CCGVert *v0 = _ehash_lookup(ss->vMap, e_vHDL0);
CCGVert *v1 = _ehash_lookup(ss->vMap, e_vHDL1);
eNew = _edge_new(eHDL, v0, v1, crease, ss);
if (e) {
*prevp = eNew;
eNew->next = e->next;
_edge_unlinkMarkAndFree(e, ss);
} else {
_ehash_insert(ss->eMap, (EHEntry*) eNew);
}
eNew->v0->flags |= Vert_eEffected;
eNew->v1->flags |= Vert_eEffected;
}
} else {
if (ss->syncState==eSyncState_Vert) {
ss->syncState = eSyncState_Edge;
} else if (ss->syncState!=eSyncState_Edge) {
return eCCGError_InvalidSyncState;
}
e = _ehash_lookupWithPrev(ss->oldEMap, eHDL, &prevp);
if (!e || e->v0->vHDL!=e_vHDL0 || e->v1->vHDL!=e_vHDL1|| e->crease!=crease) {
CCGVert *v0 = _ehash_lookup(ss->vMap, e_vHDL0);
CCGVert *v1 = _ehash_lookup(ss->vMap, e_vHDL1);
e = _edge_new(eHDL, v0, v1, crease, ss);
_ehash_insert(ss->eMap, (EHEntry*) e);
e->v0->flags |= Vert_eEffected;
e->v1->flags |= Vert_eEffected;
} else {
*prevp = e->next;
_ehash_insert(ss->eMap, (EHEntry*) e);
e->flags = 0;
if ((e->v0->flags|e->v1->flags)&Vert_eChanged) {
e->v0->flags |= Vert_eEffected;
e->v1->flags |= Vert_eEffected;
}
}
}
if (e_r) *e_r = e;
return eCCGError_None;
}
CCGError ccgSubSurf_syncFace(CCGSubSurf *ss, CCGFaceHDL fHDL, int numVerts, CCGVertHDL *vHDLs, CCGFace **f_r) {
void **prevp;
CCGFace *f = NULL, *fNew;
int j, k, topologyChanged = 0;
if (numVerts>ss->lenTempArrays) {
ss->lenTempArrays = (numVerts<ss->lenTempArrays*2)?ss->lenTempArrays*2:numVerts;
ss->tempVerts = MEM_reallocN(ss->tempVerts, sizeof(*ss->tempVerts)*ss->lenTempArrays);
ss->tempEdges = MEM_reallocN(ss->tempEdges, sizeof(*ss->tempEdges)*ss->lenTempArrays);
}
if (ss->syncState==eSyncState_Partial) {
f = _ehash_lookupWithPrev(ss->fMap, fHDL, &prevp);
for (k=0; k<numVerts; k++) {
ss->tempVerts[k] = _ehash_lookup(ss->vMap, vHDLs[k]);
}
for (k=0; k<numVerts; k++) {
ss->tempEdges[k] = _vert_findEdgeTo(ss->tempVerts[k], ss->tempVerts[(k+1)%numVerts]);
}
if (f) {
if ( f->numVerts!=numVerts ||
memcmp(FACE_getVerts(f), ss->tempVerts, sizeof(*ss->tempVerts)*numVerts) ||
memcmp(FACE_getEdges(f), ss->tempEdges, sizeof(*ss->tempEdges)*numVerts))
topologyChanged = 1;
}
if (!f || topologyChanged) {
fNew = _face_new(fHDL, ss->tempVerts, ss->tempEdges, numVerts, ss);
if (f) {
ss->numGrids += numVerts - f->numVerts;
*prevp = fNew;
fNew->next = f->next;
_face_unlinkMarkAndFree(f, ss);
} else {
ss->numGrids += numVerts;
_ehash_insert(ss->fMap, (EHEntry*) fNew);
}
for (k=0; k<numVerts; k++)
FACE_getVerts(fNew)[k]->flags |= Vert_eEffected;
}
} else {
if (ss->syncState==eSyncState_Vert || ss->syncState==eSyncState_Edge) {
ss->syncState = eSyncState_Face;
} else if (ss->syncState!=eSyncState_Face) {
return eCCGError_InvalidSyncState;
}
f = _ehash_lookupWithPrev(ss->oldFMap, fHDL, &prevp);
for (k=0; k<numVerts; k++) {
ss->tempVerts[k] = _ehash_lookup(ss->vMap, vHDLs[k]);
if (!ss->tempVerts[k])
return eCCGError_InvalidValue;
}
for (k=0; k<numVerts; k++) {
ss->tempEdges[k] = _vert_findEdgeTo(ss->tempVerts[k], ss->tempVerts[(k+1)%numVerts]);
if (!ss->tempEdges[k]) {
if (ss->allowEdgeCreation) {
CCGEdge *e = ss->tempEdges[k] = _edge_new((CCGEdgeHDL) -1, ss->tempVerts[k], ss->tempVerts[(k+1)%numVerts], ss->defaultCreaseValue, ss);
_ehash_insert(ss->eMap, (EHEntry*) e);
e->v0->flags |= Vert_eEffected;
e->v1->flags |= Vert_eEffected;
if (ss->meshIFC.edgeUserSize) {
memcpy(ccgSubSurf_getEdgeUserData(ss, e), ss->defaultEdgeUserData, ss->meshIFC.edgeUserSize);
}
} else {
return eCCGError_InvalidValue;
}
}
}
if (f) {
if ( f->numVerts!=numVerts ||
memcmp(FACE_getVerts(f), ss->tempVerts, sizeof(*ss->tempVerts)*numVerts) ||
memcmp(FACE_getEdges(f), ss->tempEdges, sizeof(*ss->tempEdges)*numVerts))
topologyChanged = 1;
}
if (!f || topologyChanged) {
f = _face_new(fHDL, ss->tempVerts, ss->tempEdges, numVerts, ss);
_ehash_insert(ss->fMap, (EHEntry*) f);
ss->numGrids += numVerts;
for (k=0; k<numVerts; k++)
FACE_getVerts(f)[k]->flags |= Vert_eEffected;
} else {
*prevp = f->next;
_ehash_insert(ss->fMap, (EHEntry*) f);
f->flags = 0;
ss->numGrids += f->numVerts;
for (j=0; j<f->numVerts; j++) {
if (FACE_getVerts(f)[j]->flags&Vert_eChanged) {
for (k=0; k<f->numVerts; k++)
FACE_getVerts(f)[k]->flags |= Vert_eEffected;
break;
}
}
}
}
if (f_r) *f_r = f;
return eCCGError_None;
}
static void ccgSubSurf__sync(CCGSubSurf *ss);
CCGError ccgSubSurf_processSync(CCGSubSurf *ss) {
if (ss->syncState==eSyncState_Partial) {
ss->syncState = eSyncState_None;
ccgSubSurf__sync(ss);
} else if (ss->syncState) {
_ehash_free(ss->oldFMap, (EHEntryFreeFP) _face_unlinkMarkAndFree, ss);
_ehash_free(ss->oldEMap, (EHEntryFreeFP) _edge_unlinkMarkAndFree, ss);
_ehash_free(ss->oldVMap, (EHEntryFreeFP) _vert_free, ss);
MEM_freeN(ss->tempEdges);
MEM_freeN(ss->tempVerts);
ss->lenTempArrays = 0;
ss->oldFMap = ss->oldEMap = ss->oldVMap = NULL;
ss->tempVerts = NULL;
ss->tempEdges = NULL;
ss->syncState = eSyncState_None;
ccgSubSurf__sync(ss);
} else {
return eCCGError_InvalidSyncState;
}
return eCCGError_None;
}
#define VERT_getNo(e, lvl) _vert_getNo(e, lvl, vertDataSize, normalDataOffset)
#define EDGE_getNo(e, lvl, x) _edge_getNo(e, lvl, x, vertDataSize, normalDataOffset)
#define FACE_getIFNo(f, lvl, S, x, y) _face_getIFNo(f, lvl, S, x, y, subdivLevels, vertDataSize, normalDataOffset)
#define FACE_calcIFNo(f, lvl, S, x, y, no) _face_calcIFNo(f, lvl, S, x, y, no, subdivLevels, vertDataSize)
#define FACE_getIENo(f, lvl, S, x) _face_getIENo(f, lvl, S, x, subdivLevels, vertDataSize, normalDataOffset)
static void ccgSubSurf__calcVertNormals(CCGSubSurf *ss,
CCGVert **effectedV, CCGEdge **effectedE, CCGFace **effectedF,
int numEffectedV, int numEffectedE, int numEffectedF) {
int i,ptrIdx;
int subdivLevels = ss->subdivLevels;
int lvl = ss->subdivLevels;
int edgeSize = 1 + (1<<lvl);
int gridSize = 1 + (1<<(lvl-1));
int normalDataOffset = ss->normalDataOffset;
int vertDataSize = ss->meshIFC.vertDataSize;
#pragma omp parallel for private(ptrIdx) if(numEffectedF*edgeSize*edgeSize*4 >= CCG_OMP_LIMIT)
for (ptrIdx=0; ptrIdx<numEffectedF; ptrIdx++) {
CCGFace *f = (CCGFace*) effectedF[ptrIdx];
int S, x, y;
float no[3];
for (S=0; S<f->numVerts; S++) {
for (y=0; y<gridSize-1; y++)
for (x=0; x<gridSize-1; x++)
NormZero(FACE_getIFNo(f, lvl, S, x, y));
if (FACE_getEdges(f)[(S-1+f->numVerts)%f->numVerts]->flags&Edge_eEffected)
for (x=0; x<gridSize-1; x++)
NormZero(FACE_getIFNo(f, lvl, S, x, gridSize-1));
if (FACE_getEdges(f)[S]->flags&Edge_eEffected)
for (y=0; y<gridSize-1; y++)
NormZero(FACE_getIFNo(f, lvl, S, gridSize-1, y));
if (FACE_getVerts(f)[S]->flags&Vert_eEffected)
NormZero(FACE_getIFNo(f, lvl, S, gridSize-1, gridSize-1));
}
for (S=0; S<f->numVerts; S++) {
int yLimit = !(FACE_getEdges(f)[(S-1+f->numVerts)%f->numVerts]->flags&Edge_eEffected);
int xLimit = !(FACE_getEdges(f)[S]->flags&Edge_eEffected);
int yLimitNext = xLimit;
int xLimitPrev = yLimit;
for (y=0; y<gridSize - 1; y++) {
for (x=0; x<gridSize - 1; x++) {
int xPlusOk = (!xLimit || x<gridSize-2);
int yPlusOk = (!yLimit || y<gridSize-2);
FACE_calcIFNo(f, lvl, S, x, y, no);
NormAdd(FACE_getIFNo(f, lvl, S, x+0, y+0), no);
if (xPlusOk)
NormAdd(FACE_getIFNo(f, lvl, S, x+1, y+0), no);
if (yPlusOk)
NormAdd(FACE_getIFNo(f, lvl, S, x+0, y+1), no);
if (xPlusOk && yPlusOk) {
if (x<gridSize-2 || y<gridSize-2 || FACE_getVerts(f)[S]->flags&Vert_eEffected) {
NormAdd(FACE_getIFNo(f, lvl, S, x+1, y+1), no);
}
}
if (x==0 && y==0) {
int K;
if (!yLimitNext || 1<gridSize-1)
NormAdd(FACE_getIFNo(f, lvl, (S+1)%f->numVerts, 0, 1), no);
if (!xLimitPrev || 1<gridSize-1)
NormAdd(FACE_getIFNo(f, lvl, (S-1+f->numVerts)%f->numVerts, 1, 0), no);
for (K=0; K<f->numVerts; K++) {
if (K!=S) {
NormAdd(FACE_getIFNo(f, lvl, K, 0, 0), no);
}
}
} else if (y==0) {
NormAdd(FACE_getIFNo(f, lvl, (S+1)%f->numVerts, 0, x), no);
if (!yLimitNext || x<gridSize-2)
NormAdd(FACE_getIFNo(f, lvl, (S+1)%f->numVerts, 0, x+1), no);
} else if (x==0) {
NormAdd(FACE_getIFNo(f, lvl, (S-1+f->numVerts)%f->numVerts, y, 0), no);
if (!xLimitPrev || y<gridSize-2)
NormAdd(FACE_getIFNo(f, lvl, (S-1+f->numVerts)%f->numVerts, y+1, 0), no);
}
}
}
}
}
// XXX can I reduce the number of normalisations here?
for (ptrIdx=0; ptrIdx<numEffectedV; ptrIdx++) {
CCGVert *v = (CCGVert*) effectedV[ptrIdx];
float length, *no = _vert_getNo(v, lvl, vertDataSize, normalDataOffset);
NormZero(no);
for (i=0; i<v->numFaces; i++) {
CCGFace *f = v->faces[i];
NormAdd(no, FACE_getIFNo(f, lvl, _face_getVertIndex(f,v), gridSize-1, gridSize-1));
}
length = sqrt(no[0]*no[0] + no[1]*no[1] + no[2]*no[2]);
if (length>EPSILON) {
float invLength = 1.0f/length;
no[0] *= invLength;
no[1] *= invLength;
no[2] *= invLength;
} else {
NormZero(no);
}
for (i=0; i<v->numFaces; i++) {
CCGFace *f = v->faces[i];
NormCopy(FACE_getIFNo(f, lvl, _face_getVertIndex(f,v), gridSize-1, gridSize-1), no);
}
}
for (ptrIdx=0; ptrIdx<numEffectedE; ptrIdx++) {
CCGEdge *e = (CCGEdge*) effectedE[ptrIdx];
if (e->numFaces) {
CCGFace *fLast = e->faces[e->numFaces-1];
int x;
for (i=0; i<e->numFaces-1; i++) {
CCGFace *f = e->faces[i];
for (x=1; x<edgeSize-1; x++) {
NormAdd(_face_getIFNoEdge(fLast, e, lvl, x, 0, subdivLevels, vertDataSize, normalDataOffset),
_face_getIFNoEdge(f, e, lvl, x, 0, subdivLevels, vertDataSize, normalDataOffset));
}
}
for (i=0; i<e->numFaces-1; i++) {
CCGFace *f = e->faces[i];
for (x=1; x<edgeSize-1; x++) {
NormCopy(_face_getIFNoEdge(f, e, lvl, x, 0, subdivLevels, vertDataSize, normalDataOffset),
_face_getIFNoEdge(fLast, e, lvl, x, 0, subdivLevels, vertDataSize, normalDataOffset));
}
}
}
}
#pragma omp parallel for private(ptrIdx) if(numEffectedF*edgeSize*edgeSize*4 >= CCG_OMP_LIMIT)
for (ptrIdx=0; ptrIdx<numEffectedF; ptrIdx++) {
CCGFace *f = (CCGFace*) effectedF[ptrIdx];
int S, x, y;
for (S=0; S<f->numVerts; S++) {
NormCopy(FACE_getIFNo(f, lvl, (S+1)%f->numVerts, 0, gridSize-1),
FACE_getIFNo(f, lvl, S, gridSize-1, 0));
}
for (S=0; S<f->numVerts; S++) {
for (y=0; y<gridSize; y++) {
for (x=0; x<gridSize; x++) {
float *no = FACE_getIFNo(f, lvl, S, x, y);
float length = sqrt(no[0]*no[0] + no[1]*no[1] + no[2]*no[2]);
if (length>EPSILON) {
float invLength = 1.0f/length;
no[0] *= invLength;
no[1] *= invLength;
no[2] *= invLength;
} else {
NormZero(no);
}
}
}
VertDataCopy((float*)((byte*)FACE_getCenterData(f) + normalDataOffset),
FACE_getIFNo(f, lvl, S, 0, 0));
for (x=1; x<gridSize-1; x++)
NormCopy(FACE_getIENo(f, lvl, S, x),
FACE_getIFNo(f, lvl, S, x, 0));
}
}
for (ptrIdx=0; ptrIdx<numEffectedE; ptrIdx++) {
CCGEdge *e = (CCGEdge*) effectedE[ptrIdx];
if (e->numFaces) {
CCGFace *f = e->faces[0];
int x;
for (x=0; x<edgeSize; x++)
NormCopy(EDGE_getNo(e, lvl, x),
_face_getIFNoEdge(f, e, lvl, x, 0, subdivLevels, vertDataSize, normalDataOffset));
}
else {
/* set to zero here otherwise the normals are uninitialized memory
* render: tests/animation/knight.blend with valgrind.
* we could be more clever and interpolate vertex normals but these are
* most likely not used so just zero out. */
int x;
for (x=0; x<edgeSize; x++) {
NormZero(EDGE_getNo(e, lvl, x));
}
}
}
}
#undef FACE_getIFNo
#define VERT_getCo(v, lvl) _vert_getCo(v, lvl, vertDataSize)
#define EDGE_getCo(e, lvl, x) _edge_getCo(e, lvl, x, vertDataSize)
#define FACE_getIECo(f, lvl, S, x) _face_getIECo(f, lvl, S, x, subdivLevels, vertDataSize)
#define FACE_getIFCo(f, lvl, S, x, y) _face_getIFCo(f, lvl, S, x, y, subdivLevels, vertDataSize)
static void ccgSubSurf__calcSubdivLevel(CCGSubSurf *ss,
CCGVert **effectedV, CCGEdge **effectedE, CCGFace **effectedF,
int numEffectedV, int numEffectedE, int numEffectedF, int curLvl) {
int subdivLevels = ss->subdivLevels;
int edgeSize = 1 + (1<<curLvl);
int gridSize = 1 + (1<<(curLvl-1));
int nextLvl = curLvl+1;
int ptrIdx, cornerIdx, i;
int vertDataSize = ss->meshIFC.vertDataSize;
void *q = ss->q, *r = ss->r;
#pragma omp parallel for private(ptrIdx) if(numEffectedF*edgeSize*edgeSize*4 >= CCG_OMP_LIMIT)
for (ptrIdx=0; ptrIdx<numEffectedF; ptrIdx++) {
CCGFace *f = (CCGFace*) effectedF[ptrIdx];
int S, x, y;
/* interior face midpoints
* o old interior face points
*/
for (S=0; S<f->numVerts; S++) {
for (y=0; y<gridSize-1; y++) {
for (x=0; x<gridSize-1; x++) {
int fx = 1 + 2*x;
int fy = 1 + 2*y;
void *co0 = FACE_getIFCo(f, curLvl, S, x+0, y+0);
void *co1 = FACE_getIFCo(f, curLvl, S, x+1, y+0);
void *co2 = FACE_getIFCo(f, curLvl, S, x+1, y+1);
void *co3 = FACE_getIFCo(f, curLvl, S, x+0, y+1);
void *co = FACE_getIFCo(f, nextLvl, S, fx, fy);
VertDataAvg4(co, co0, co1, co2, co3);
}
}
}
/* interior edge midpoints
* o old interior edge points
* o new interior face midpoints
*/
for (S=0; S<f->numVerts; S++) {
for (x=0; x<gridSize-1; x++) {
int fx = x*2 + 1;
void *co0 = FACE_getIECo(f, curLvl, S, x+0);
void *co1 = FACE_getIECo(f, curLvl, S, x+1);
void *co2 = FACE_getIFCo(f, nextLvl, (S+1)%f->numVerts, 1, fx);
void *co3 = FACE_getIFCo(f, nextLvl, S, fx, 1);
void *co = FACE_getIECo(f, nextLvl, S, fx);
VertDataAvg4(co, co0, co1, co2, co3);
}
/* interior face interior edge midpoints
* o old interior face points
* o new interior face midpoints
*/
/* vertical */
for (x=1; x<gridSize-1; x++) {
for (y=0; y<gridSize-1; y++) {
int fx = x*2;
int fy = y*2+1;
void *co0 = FACE_getIFCo(f, curLvl, S, x, y+0);
void *co1 = FACE_getIFCo(f, curLvl, S, x, y+1);
void *co2 = FACE_getIFCo(f, nextLvl, S, fx-1, fy);
void *co3 = FACE_getIFCo(f, nextLvl, S, fx+1, fy);
void *co = FACE_getIFCo(f, nextLvl, S, fx, fy);
VertDataAvg4(co, co0, co1, co2, co3);
}
}
/* horizontal */
for (y=1; y<gridSize-1; y++) {
for (x=0; x<gridSize-1; x++) {
int fx = x*2+1;
int fy = y*2;
void *co0 = FACE_getIFCo(f, curLvl, S, x+0, y);
void *co1 = FACE_getIFCo(f, curLvl, S, x+1, y);
void *co2 = FACE_getIFCo(f, nextLvl, S, fx, fy-1);
void *co3 = FACE_getIFCo(f, nextLvl, S, fx, fy+1);
void *co = FACE_getIFCo(f, nextLvl, S, fx, fy);
VertDataAvg4(co, co0, co1, co2, co3);
}
}
}
}
/* exterior edge midpoints
* o old exterior edge points
* o new interior face midpoints
*/
for (ptrIdx=0; ptrIdx<numEffectedE; ptrIdx++) {
CCGEdge *e = (CCGEdge*) effectedE[ptrIdx];
float sharpness = EDGE_getSharpness(e, curLvl);
int x, j;
if (_edge_isBoundary(e) || sharpness > 1.0f) {
for (x=0; x<edgeSize-1; x++) {
int fx = x*2 + 1;
void *co0 = EDGE_getCo(e, curLvl, x+0);
void *co1 = EDGE_getCo(e, curLvl, x+1);
void *co = EDGE_getCo(e, nextLvl, fx);
VertDataCopy(co, co0);
VertDataAdd(co, co1);
VertDataMulN(co, 0.5f);
}
} else {
for (x=0; x<edgeSize-1; x++) {
int fx = x*2 + 1;
void *co0 = EDGE_getCo(e, curLvl, x+0);
void *co1 = EDGE_getCo(e, curLvl, x+1);
void *co = EDGE_getCo(e, nextLvl, fx);
int numFaces = 0;
VertDataCopy(q, co0);
VertDataAdd(q, co1);
for (j=0; j<e->numFaces; j++) {
CCGFace *f = e->faces[j];
VertDataAdd(q, _face_getIFCoEdge(f, e, nextLvl, fx, 1, subdivLevels, vertDataSize));
numFaces++;
}
VertDataMulN(q, 1.0f/(2.0f+numFaces));
VertDataCopy(r, co0);
VertDataAdd(r, co1);
VertDataMulN(r, 0.5f);
VertDataCopy(co, q);
VertDataSub(r, q);
VertDataMulN(r, sharpness);
VertDataAdd(co, r);
}
}
}
/* exterior vertex shift
* o old vertex points (shifting)
* o old exterior edge points
* o new interior face midpoints
*/
for (ptrIdx=0; ptrIdx<numEffectedV; ptrIdx++) {
CCGVert *v = (CCGVert*) effectedV[ptrIdx];
void *co = VERT_getCo(v, curLvl);
void *nCo = VERT_getCo(v, nextLvl);
int sharpCount = 0, allSharp = 1;
float avgSharpness = 0.0;
int j, seam = VERT_seam(v), seamEdges = 0;
for (j=0; j<v->numEdges; j++) {
CCGEdge *e = v->edges[j];
float sharpness = EDGE_getSharpness(e, curLvl);
if (seam && _edge_isBoundary(e))
seamEdges++;
if (sharpness!=0.0f) {
sharpCount++;
avgSharpness += sharpness;
} else {
allSharp = 0;
}
}
if(sharpCount) {
avgSharpness /= sharpCount;
if (avgSharpness > 1.0f) {
avgSharpness = 1.0f;
}
}
if (seamEdges < 2 || seamEdges != v->numEdges)
seam = 0;
if (!v->numEdges) {
VertDataCopy(nCo, co);
} else if (_vert_isBoundary(v)) {
int numBoundary = 0;
VertDataZero(r);
for (j=0; j<v->numEdges; j++) {
CCGEdge *e = v->edges[j];
if (_edge_isBoundary(e)) {
VertDataAdd(r, _edge_getCoVert(e, v, curLvl, 1, vertDataSize));
numBoundary++;
}
}
VertDataCopy(nCo, co);
VertDataMulN(nCo, 0.75f);
VertDataMulN(r, 0.25f/numBoundary);
VertDataAdd(nCo, r);
} else {
int cornerIdx = (1 + (1<<(curLvl))) - 2;
int numEdges = 0, numFaces = 0;
VertDataZero(q);
for (j=0; j<v->numFaces; j++) {
CCGFace *f = v->faces[j];
VertDataAdd(q, FACE_getIFCo(f, nextLvl, _face_getVertIndex(f,v), cornerIdx, cornerIdx));
numFaces++;
}
VertDataMulN(q, 1.0f/numFaces);
VertDataZero(r);
for (j=0; j<v->numEdges; j++) {
CCGEdge *e = v->edges[j];
VertDataAdd(r, _edge_getCoVert(e, v, curLvl, 1,vertDataSize));
numEdges++;
}
VertDataMulN(r, 1.0f/numEdges);
VertDataCopy(nCo, co);
VertDataMulN(nCo, numEdges-2.0f);
VertDataAdd(nCo, q);
VertDataAdd(nCo, r);
VertDataMulN(nCo, 1.0f/numEdges);
}
if ((sharpCount>1 && v->numFaces) || seam) {
VertDataZero(q);
if (seam) {
avgSharpness = 1.0f;
sharpCount = seamEdges;
allSharp = 1;
}
for (j=0; j<v->numEdges; j++) {
CCGEdge *e = v->edges[j];
float sharpness = EDGE_getSharpness(e, curLvl);
if (seam) {
if (_edge_isBoundary(e))
VertDataAdd(q, _edge_getCoVert(e, v, curLvl, 1, vertDataSize));
} else if (sharpness != 0.0f) {
VertDataAdd(q, _edge_getCoVert(e, v, curLvl, 1, vertDataSize));
}
}
VertDataMulN(q, (float) 1/sharpCount);
if (sharpCount!=2 || allSharp) {
// q = q + (co-q)*avgSharpness
VertDataCopy(r, co);
VertDataSub(r, q);
VertDataMulN(r, avgSharpness);
VertDataAdd(q, r);
}
// r = co*.75 + q*.25
VertDataCopy(r, co);
VertDataMulN(r, .75f);
VertDataMulN(q, .25f);
VertDataAdd(r, q);
// nCo = nCo + (r-nCo)*avgSharpness
VertDataSub(r, nCo);
VertDataMulN(r, avgSharpness);
VertDataAdd(nCo, r);
}
}
/* exterior edge interior shift
* o old exterior edge midpoints (shifting)
* o old exterior edge midpoints
* o new interior face midpoints
*/
for (ptrIdx=0; ptrIdx<numEffectedE; ptrIdx++) {
CCGEdge *e = (CCGEdge*) effectedE[ptrIdx];
float sharpness = EDGE_getSharpness(e, curLvl);
int sharpCount = 0;
float avgSharpness = 0.0;
int x, j;
if (sharpness!=0.0f) {
sharpCount = 2;
avgSharpness += sharpness;
if (avgSharpness > 1.0f) {
avgSharpness = 1.0f;
}
} else {
sharpCount = 0;
avgSharpness = 0;
}
if (_edge_isBoundary(e) && (!e->numFaces || sharpCount<2)) {
for (x=1; x<edgeSize-1; x++) {
int fx = x*2;
void *co = EDGE_getCo(e, curLvl, x);
void *nCo = EDGE_getCo(e, nextLvl, fx);
VertDataCopy(r, EDGE_getCo(e, curLvl, x-1));
VertDataAdd(r, EDGE_getCo(e, curLvl, x+1));
VertDataMulN(r, 0.5f);
VertDataCopy(nCo, co);
VertDataMulN(nCo, 0.75f);
VertDataMulN(r, 0.25f);
VertDataAdd(nCo, r);
}
} else {
for (x=1; x<edgeSize-1; x++) {
int fx = x*2;
void *co = EDGE_getCo(e, curLvl, x);
void *nCo = EDGE_getCo(e, nextLvl, fx);
int numFaces = 0;
VertDataZero(q);
VertDataZero(r);
VertDataAdd(r, EDGE_getCo(e, curLvl, x-1));
VertDataAdd(r, EDGE_getCo(e, curLvl, x+1));
for (j=0; j<e->numFaces; j++) {
CCGFace *f = e->faces[j];
VertDataAdd(q, _face_getIFCoEdge(f, e, nextLvl, fx-1, 1, subdivLevels, vertDataSize));
VertDataAdd(q, _face_getIFCoEdge(f, e, nextLvl, fx+1, 1, subdivLevels, vertDataSize));
VertDataAdd(r, _face_getIFCoEdge(f, e, curLvl, x, 1, subdivLevels, vertDataSize));
numFaces++;
}
VertDataMulN(q, 1.0f/(numFaces*2.0f));
VertDataMulN(r, 1.0f/(2.0f + numFaces));
VertDataCopy(nCo, co);
VertDataMulN(nCo, (float) numFaces);
VertDataAdd(nCo, q);
VertDataAdd(nCo, r);
VertDataMulN(nCo, 1.0f/(2+numFaces));
if (sharpCount==2) {
VertDataCopy(q, co);
VertDataMulN(q, 6.0f);
VertDataAdd(q, EDGE_getCo(e, curLvl, x-1));
VertDataAdd(q, EDGE_getCo(e, curLvl, x+1));
VertDataMulN(q, 1/8.0f);
VertDataSub(q, nCo);
VertDataMulN(q, avgSharpness);
VertDataAdd(nCo, q);
}
}
}
}
#pragma omp parallel private(ptrIdx) if(numEffectedF*edgeSize*edgeSize*4 >= CCG_OMP_LIMIT)
{
void *q, *r;
#pragma omp critical
{
q = MEM_mallocN(ss->meshIFC.vertDataSize, "CCGSubsurf q");
r = MEM_mallocN(ss->meshIFC.vertDataSize, "CCGSubsurf r");
}
#pragma omp for schedule(static)
for (ptrIdx=0; ptrIdx<numEffectedF; ptrIdx++) {
CCGFace *f = (CCGFace*) effectedF[ptrIdx];
int S, x, y;
/* interior center point shift
* o old face center point (shifting)
* o old interior edge points
* o new interior face midpoints
*/
VertDataZero(q);
for (S=0; S<f->numVerts; S++) {
VertDataAdd(q, FACE_getIFCo(f, nextLvl, S, 1, 1));
}
VertDataMulN(q, 1.0f/f->numVerts);
VertDataZero(r);
for (S=0; S<f->numVerts; S++) {
VertDataAdd(r, FACE_getIECo(f, curLvl, S, 1));
}
VertDataMulN(r, 1.0f/f->numVerts);
VertDataMulN(FACE_getCenterData(f), f->numVerts-2.0f);
VertDataAdd(FACE_getCenterData(f), q);
VertDataAdd(FACE_getCenterData(f), r);
VertDataMulN(FACE_getCenterData(f), 1.0f/f->numVerts);
for (S=0; S<f->numVerts; S++) {
/* interior face shift
* o old interior face point (shifting)
* o new interior edge midpoints
* o new interior face midpoints
*/
for (x=1; x<gridSize-1; x++) {
for (y=1; y<gridSize-1; y++) {
int fx = x*2;
int fy = y*2;
void *co = FACE_getIFCo(f, curLvl, S, x, y);
void *nCo = FACE_getIFCo(f, nextLvl, S, fx, fy);
VertDataAvg4(q, FACE_getIFCo(f, nextLvl, S, fx-1, fy-1),
FACE_getIFCo(f, nextLvl, S, fx+1, fy-1),
FACE_getIFCo(f, nextLvl, S, fx+1, fy+1),
FACE_getIFCo(f, nextLvl, S, fx-1, fy+1));
VertDataAvg4(r, FACE_getIFCo(f, nextLvl, S, fx-1, fy+0),
FACE_getIFCo(f, nextLvl, S, fx+1, fy+0),
FACE_getIFCo(f, nextLvl, S, fx+0, fy-1),
FACE_getIFCo(f, nextLvl, S, fx+0, fy+1));
VertDataCopy(nCo, co);
VertDataSub(nCo, q);
VertDataMulN(nCo, 0.25f);
VertDataAdd(nCo, r);
}
}
/* interior edge interior shift
* o old interior edge point (shifting)
* o new interior edge midpoints
* o new interior face midpoints
*/
for (x=1; x<gridSize-1; x++) {
int fx = x*2;
void *co = FACE_getIECo(f, curLvl, S, x);
void *nCo = FACE_getIECo(f, nextLvl, S, fx);
VertDataAvg4(q, FACE_getIFCo(f, nextLvl, (S+1)%f->numVerts, 1, fx-1),
FACE_getIFCo(f, nextLvl, (S+1)%f->numVerts, 1, fx+1),
FACE_getIFCo(f, nextLvl, S, fx+1, +1),
FACE_getIFCo(f, nextLvl, S, fx-1, +1));
VertDataAvg4(r, FACE_getIECo(f, nextLvl, S, fx-1),
FACE_getIECo(f, nextLvl, S, fx+1),
FACE_getIFCo(f, nextLvl, (S+1)%f->numVerts, 1, fx),
FACE_getIFCo(f, nextLvl, S, fx, 1));
VertDataCopy(nCo, co);
VertDataSub(nCo, q);
VertDataMulN(nCo, 0.25f);
VertDataAdd(nCo, r);
}
}
}
#pragma omp critical
{
MEM_freeN(q);
MEM_freeN(r);
}
}
/* copy down */
edgeSize = 1 + (1<<(nextLvl));
gridSize = 1 + (1<<((nextLvl)-1));
cornerIdx = gridSize-1;
#pragma omp parallel for private(i) if(numEffectedF*edgeSize*edgeSize*4 >= CCG_OMP_LIMIT)
for (i=0; i<numEffectedE; i++) {
CCGEdge *e = effectedE[i];
VertDataCopy(EDGE_getCo(e, nextLvl, 0), VERT_getCo(e->v0, nextLvl));
VertDataCopy(EDGE_getCo(e, nextLvl, edgeSize-1), VERT_getCo(e->v1, nextLvl));
}
#pragma omp parallel for private(i) if(numEffectedF*edgeSize*edgeSize*4 >= CCG_OMP_LIMIT)
for (i=0; i<numEffectedF; i++) {
CCGFace *f = effectedF[i];
int S, x;
for (S=0; S<f->numVerts; S++) {
CCGEdge *e = FACE_getEdges(f)[S];
CCGEdge *prevE = FACE_getEdges(f)[(S+f->numVerts-1)%f->numVerts];
VertDataCopy(FACE_getIFCo(f, nextLvl, S, 0, 0), FACE_getCenterData(f));
VertDataCopy(FACE_getIECo(f, nextLvl, S, 0), FACE_getCenterData(f));
VertDataCopy(FACE_getIFCo(f, nextLvl, S, cornerIdx, cornerIdx), VERT_getCo(FACE_getVerts(f)[S], nextLvl));
VertDataCopy(FACE_getIECo(f, nextLvl, S, cornerIdx), EDGE_getCo(FACE_getEdges(f)[S], nextLvl, cornerIdx));
for (x=1; x<gridSize-1; x++) {
void *co = FACE_getIECo(f, nextLvl, S, x);
VertDataCopy(FACE_getIFCo(f, nextLvl, S, x, 0), co);
VertDataCopy(FACE_getIFCo(f, nextLvl, (S+1)%f->numVerts, 0, x), co);
}
for (x=0; x<gridSize-1; x++) {
int eI = gridSize-1-x;
VertDataCopy(FACE_getIFCo(f, nextLvl, S, cornerIdx, x), _edge_getCoVert(e, FACE_getVerts(f)[S], nextLvl, eI,vertDataSize));
VertDataCopy(FACE_getIFCo(f, nextLvl, S, x, cornerIdx), _edge_getCoVert(prevE, FACE_getVerts(f)[S], nextLvl, eI,vertDataSize));
}
}
}
}
static void ccgSubSurf__sync(CCGSubSurf *ss) {
CCGVert **effectedV;
CCGEdge **effectedE;
CCGFace **effectedF;
int numEffectedV, numEffectedE, numEffectedF;
int subdivLevels = ss->subdivLevels;
int vertDataSize = ss->meshIFC.vertDataSize;
int i, j, ptrIdx, S;
int curLvl, nextLvl;
void *q = ss->q, *r = ss->r;
effectedV = MEM_mallocN(sizeof(*effectedV)*ss->vMap->numEntries, "CCGSubsurf effectedV");
effectedE = MEM_mallocN(sizeof(*effectedE)*ss->eMap->numEntries, "CCGSubsurf effectedE");
effectedF = MEM_mallocN(sizeof(*effectedF)*ss->fMap->numEntries, "CCGSubsurf effectedF");
numEffectedV = numEffectedE = numEffectedF = 0;
for (i=0; i<ss->vMap->curSize; i++) {
CCGVert *v = (CCGVert*) ss->vMap->buckets[i];
for (; v; v = v->next) {
if (v->flags&Vert_eEffected) {
effectedV[numEffectedV++] = v;
for (j=0; j<v->numEdges; j++) {
CCGEdge *e = v->edges[j];
if (!(e->flags&Edge_eEffected)) {
effectedE[numEffectedE++] = e;
e->flags |= Edge_eEffected;
}
}
for (j=0; j<v->numFaces; j++) {
CCGFace *f = v->faces[j];
if (!(f->flags&Face_eEffected)) {
effectedF[numEffectedF++] = f;
f->flags |= Face_eEffected;
}
}
}
}
}
curLvl = 0;
nextLvl = curLvl+1;
for (ptrIdx=0; ptrIdx<numEffectedF; ptrIdx++) {
CCGFace *f = effectedF[ptrIdx];
void *co = FACE_getCenterData(f);
VertDataZero(co);
for (i=0; i<f->numVerts; i++) {
VertDataAdd(co, VERT_getCo(FACE_getVerts(f)[i], curLvl));
}
VertDataMulN(co, 1.0f/f->numVerts);
f->flags = 0;
}
for (ptrIdx=0; ptrIdx<numEffectedE; ptrIdx++) {
CCGEdge *e = effectedE[ptrIdx];
void *co = EDGE_getCo(e, nextLvl, 1);
float sharpness = EDGE_getSharpness(e, curLvl);
if (_edge_isBoundary(e) || sharpness >= 1.0f) {
VertDataCopy(co, VERT_getCo(e->v0, curLvl));
VertDataAdd(co, VERT_getCo(e->v1, curLvl));
VertDataMulN(co, 0.5f);
} else {
int numFaces = 0;
VertDataCopy(q, VERT_getCo(e->v0, curLvl));
VertDataAdd(q, VERT_getCo(e->v1, curLvl));
for (i=0; i<e->numFaces; i++) {
CCGFace *f = e->faces[i];
VertDataAdd(q, FACE_getCenterData(f));
numFaces++;
}
VertDataMulN(q, 1.0f/(2.0f+numFaces));
VertDataCopy(r, VERT_getCo(e->v0, curLvl));
VertDataAdd(r, VERT_getCo(e->v1, curLvl));
VertDataMulN(r, 0.5f);
VertDataCopy(co, q);
VertDataSub(r, q);
VertDataMulN(r, sharpness);
VertDataAdd(co, r);
}
// edge flags cleared later
}
for (ptrIdx=0; ptrIdx<numEffectedV; ptrIdx++) {
CCGVert *v = effectedV[ptrIdx];
void *co = VERT_getCo(v, curLvl);
void *nCo = VERT_getCo(v, nextLvl);
int sharpCount = 0, allSharp = 1;
float avgSharpness = 0.0;
int seam = VERT_seam(v), seamEdges = 0;
for (i=0; i<v->numEdges; i++) {
CCGEdge *e = v->edges[i];
float sharpness = EDGE_getSharpness(e, curLvl);
if (seam && _edge_isBoundary(e))
seamEdges++;
if (sharpness!=0.0f) {
sharpCount++;
avgSharpness += sharpness;
} else {
allSharp = 0;
}
}
if(sharpCount) {
avgSharpness /= sharpCount;
if (avgSharpness > 1.0f) {
avgSharpness = 1.0f;
}
}
if (seamEdges < 2 || seamEdges != v->numEdges)
seam = 0;
if (!v->numEdges) {
VertDataCopy(nCo, co);
} else if (_vert_isBoundary(v)) {
int numBoundary = 0;
VertDataZero(r);
for (i=0; i<v->numEdges; i++) {
CCGEdge *e = v->edges[i];
if (_edge_isBoundary(e)) {
VertDataAdd(r, VERT_getCo(_edge_getOtherVert(e, v), curLvl));
numBoundary++;
}
}
VertDataCopy(nCo, co);
VertDataMulN(nCo, 0.75f);
VertDataMulN(r, 0.25f/numBoundary);
VertDataAdd(nCo, r);
} else {
int numEdges = 0, numFaces = 0;
VertDataZero(q);
for (i=0; i<v->numFaces; i++) {
CCGFace *f = v->faces[i];
VertDataAdd(q, FACE_getCenterData(f));
numFaces++;
}
VertDataMulN(q, 1.0f/numFaces);
VertDataZero(r);
for (i=0; i<v->numEdges; i++) {
CCGEdge *e = v->edges[i];
VertDataAdd(r, VERT_getCo(_edge_getOtherVert(e, v), curLvl));
numEdges++;
}
VertDataMulN(r, 1.0f/numEdges);
VertDataCopy(nCo, co);
VertDataMulN(nCo, numEdges-2.0f);
VertDataAdd(nCo, q);
VertDataAdd(nCo, r);
VertDataMulN(nCo, 1.0f/numEdges);
}
if (sharpCount>1 || seam) {
VertDataZero(q);
if (seam) {
avgSharpness = 1.0f;
sharpCount = seamEdges;
allSharp = 1;
}
for (i=0; i<v->numEdges; i++) {
CCGEdge *e = v->edges[i];
float sharpness = EDGE_getSharpness(e, curLvl);
if (seam) {
if (_edge_isBoundary(e)) {
CCGVert *oV = _edge_getOtherVert(e, v);
VertDataAdd(q, VERT_getCo(oV, curLvl));
}
} else if (sharpness != 0.0f) {
CCGVert *oV = _edge_getOtherVert(e, v);
VertDataAdd(q, VERT_getCo(oV, curLvl));
}
}
VertDataMulN(q, (float) 1/sharpCount);
if (sharpCount!=2 || allSharp) {
// q = q + (co-q)*avgSharpness
VertDataCopy(r, co);
VertDataSub(r, q);
VertDataMulN(r, avgSharpness);
VertDataAdd(q, r);
}
// r = co*.75 + q*.25
VertDataCopy(r, co);
VertDataMulN(r, 0.75f);
VertDataMulN(q, 0.25f);
VertDataAdd(r, q);
// nCo = nCo + (r-nCo)*avgSharpness
VertDataSub(r, nCo);
VertDataMulN(r, avgSharpness);
VertDataAdd(nCo, r);
}
// vert flags cleared later
}
if (ss->useAgeCounts) {
for (i=0; i<numEffectedV; i++) {
CCGVert *v = effectedV[i];
byte *userData = ccgSubSurf_getVertUserData(ss, v);
*((int*) &userData[ss->vertUserAgeOffset]) = ss->currentAge;
}
for (i=0; i<numEffectedE; i++) {
CCGEdge *e = effectedE[i];
byte *userData = ccgSubSurf_getEdgeUserData(ss, e);
*((int*) &userData[ss->edgeUserAgeOffset]) = ss->currentAge;
}
for (i=0; i<numEffectedF; i++) {
CCGFace *f = effectedF[i];
byte *userData = ccgSubSurf_getFaceUserData(ss, f);
*((int*) &userData[ss->faceUserAgeOffset]) = ss->currentAge;
}
}
for (i=0; i<numEffectedE; i++) {
CCGEdge *e = effectedE[i];
VertDataCopy(EDGE_getCo(e, nextLvl, 0), VERT_getCo(e->v0, nextLvl));
VertDataCopy(EDGE_getCo(e, nextLvl, 2), VERT_getCo(e->v1, nextLvl));
}
for (i=0; i<numEffectedF; i++) {
CCGFace *f = effectedF[i];
for (S=0; S<f->numVerts; S++) {
CCGEdge *e = FACE_getEdges(f)[S];
CCGEdge *prevE = FACE_getEdges(f)[(S+f->numVerts-1)%f->numVerts];
VertDataCopy(FACE_getIFCo(f, nextLvl, S, 0, 0), FACE_getCenterData(f));
VertDataCopy(FACE_getIECo(f, nextLvl, S, 0), FACE_getCenterData(f));
VertDataCopy(FACE_getIFCo(f, nextLvl, S, 1, 1), VERT_getCo(FACE_getVerts(f)[S], nextLvl));
VertDataCopy(FACE_getIECo(f, nextLvl, S, 1), EDGE_getCo(FACE_getEdges(f)[S], nextLvl, 1));
VertDataCopy(FACE_getIFCo(f, nextLvl, S, 1, 0), _edge_getCoVert(e, FACE_getVerts(f)[S], nextLvl, 1, vertDataSize));
VertDataCopy(FACE_getIFCo(f, nextLvl, S, 0, 1), _edge_getCoVert(prevE, FACE_getVerts(f)[S], nextLvl, 1, vertDataSize));
}
}
for (curLvl=1; curLvl<subdivLevels; curLvl++) {
ccgSubSurf__calcSubdivLevel(ss,
effectedV, effectedE, effectedF,
numEffectedV, numEffectedE, numEffectedF, curLvl);
}
if (ss->calcVertNormals)
ccgSubSurf__calcVertNormals(ss,
effectedV, effectedE, effectedF,
numEffectedV, numEffectedE, numEffectedF);
for (ptrIdx=0; ptrIdx<numEffectedV; ptrIdx++) {
CCGVert *v = effectedV[ptrIdx];
v->flags = 0;
}
for (ptrIdx=0; ptrIdx<numEffectedE; ptrIdx++) {
CCGEdge *e = effectedE[ptrIdx];
e->flags = 0;
}
MEM_freeN(effectedF);
MEM_freeN(effectedE);
MEM_freeN(effectedV);
}
static void ccgSubSurf__allFaces(CCGSubSurf *ss, CCGFace ***faces, int *numFaces, int *freeFaces)
{
CCGFace **array;
int i, num;
if(!*faces) {
array = MEM_mallocN(sizeof(*array)*ss->fMap->numEntries, "CCGSubsurf allFaces");
num = 0;
for (i=0; i<ss->fMap->curSize; i++) {
CCGFace *f = (CCGFace*) ss->fMap->buckets[i];
for (; f; f = f->next)
array[num++] = f;
}
*faces = array;
*numFaces = num;
*freeFaces= 1;
}
else
*freeFaces= 0;
}
static void ccgSubSurf__effectedFaceNeighbours(CCGSubSurf *ss, CCGFace **faces, int numFaces, CCGVert ***verts, int *numVerts, CCGEdge ***edges, int *numEdges)
{
CCGVert **arrayV;
CCGEdge **arrayE;
int numV, numE, i, j;
arrayV = MEM_mallocN(sizeof(*arrayV)*ss->vMap->numEntries, "CCGSubsurf arrayV");
arrayE = MEM_mallocN(sizeof(*arrayE)*ss->eMap->numEntries, "CCGSubsurf arrayV");
numV = numE = 0;
for (i=0; i<numFaces; i++) {
CCGFace *f = faces[i];
f->flags |= Face_eEffected;
}
for (i=0; i<ss->vMap->curSize; i++) {
CCGVert *v = (CCGVert*) ss->vMap->buckets[i];
for (; v; v = v->next) {
for(j=0; j<v->numFaces; j++)
if(!(v->faces[j]->flags & Face_eEffected))
break;
if(j == v->numFaces) {
arrayV[numV++] = v;
v->flags |= Vert_eEffected;
}
}
}
for (i=0; i<ss->eMap->curSize; i++) {
CCGEdge *e = (CCGEdge*) ss->eMap->buckets[i];
for (; e; e = e->next) {
for(j=0; j<e->numFaces; j++)
if(!(e->faces[j]->flags & Face_eEffected))
break;
if(j == e->numFaces) {
e->flags |= Edge_eEffected;
arrayE[numE++] = e;
}
}
}
*verts = arrayV;
*numVerts = numV;
*edges = arrayE;
*numEdges = numE;
}
/* copy face grid coordinates to other places */
CCGError ccgSubSurf_updateFromFaces(CCGSubSurf *ss, int lvl, CCGFace **effectedF, int numEffectedF)
{
int i, S, x, gridSize, cornerIdx, subdivLevels;
int vertDataSize = ss->meshIFC.vertDataSize, freeF;
subdivLevels = ss->subdivLevels;
lvl = (lvl)? lvl: subdivLevels;
gridSize = 1 + (1<<(lvl-1));
cornerIdx = gridSize-1;
ccgSubSurf__allFaces(ss, &effectedF, &numEffectedF, &freeF);
for (i=0; i<numEffectedF; i++) {
CCGFace *f = effectedF[i];
for (S=0; S<f->numVerts; S++) {
CCGEdge *e = FACE_getEdges(f)[S];
CCGEdge *prevE = FACE_getEdges(f)[(S+f->numVerts-1)%f->numVerts];
VertDataCopy(FACE_getCenterData(f), FACE_getIFCo(f, lvl, S, 0, 0));
VertDataCopy(VERT_getCo(FACE_getVerts(f)[S], lvl), FACE_getIFCo(f, lvl, S, cornerIdx, cornerIdx));
for (x=0; x<gridSize; x++)
VertDataCopy(FACE_getIECo(f, lvl, S, x), FACE_getIFCo(f, lvl, S, x, 0));
for (x=0; x<gridSize; x++) {
int eI = gridSize-1-x;
VertDataCopy(_edge_getCoVert(e, FACE_getVerts(f)[S], lvl, eI,vertDataSize), FACE_getIFCo(f, lvl, S, cornerIdx, x));
VertDataCopy(_edge_getCoVert(prevE, FACE_getVerts(f)[S], lvl, eI,vertDataSize), FACE_getIFCo(f, lvl, S, x, cornerIdx));
}
}
}
if(freeF) MEM_freeN(effectedF);
return eCCGError_None;
}
/* copy other places to face grid coordinates */
CCGError ccgSubSurf_updateToFaces(CCGSubSurf *ss, int lvl, CCGFace **effectedF, int numEffectedF)
{
int i, S, x, gridSize, cornerIdx, subdivLevels;
int vertDataSize = ss->meshIFC.vertDataSize, freeF;
subdivLevels = ss->subdivLevels;
lvl = (lvl)? lvl: subdivLevels;
gridSize = 1 + (1<<(lvl-1));
cornerIdx = gridSize-1;
ccgSubSurf__allFaces(ss, &effectedF, &numEffectedF, &freeF);
for (i=0; i<numEffectedF; i++) {
CCGFace *f = effectedF[i];
for (S=0; S<f->numVerts; S++) {
int prevS = (S+f->numVerts-1)%f->numVerts;
CCGEdge *e = FACE_getEdges(f)[S];
CCGEdge *prevE = FACE_getEdges(f)[prevS];
for (x=0; x<gridSize; x++) {
int eI = gridSize-1-x;
VertDataCopy(FACE_getIFCo(f, lvl, S, cornerIdx, x), _edge_getCoVert(e, FACE_getVerts(f)[S], lvl, eI,vertDataSize));
VertDataCopy(FACE_getIFCo(f, lvl, S, x, cornerIdx), _edge_getCoVert(prevE, FACE_getVerts(f)[S], lvl, eI,vertDataSize));
}
for (x=1; x<gridSize-1; x++) {
VertDataCopy(FACE_getIFCo(f, lvl, S, 0, x), FACE_getIECo(f, lvl, prevS, x));
VertDataCopy(FACE_getIFCo(f, lvl, S, x, 0), FACE_getIECo(f, lvl, S, x));
}
VertDataCopy(FACE_getIFCo(f, lvl, S, 0, 0), FACE_getCenterData(f));
VertDataCopy(FACE_getIFCo(f, lvl, S, cornerIdx, cornerIdx), VERT_getCo(FACE_getVerts(f)[S], lvl));
}
}
if(freeF) MEM_freeN(effectedF);
return eCCGError_None;
}
/* stitch together face grids, averaging coordinates at edges
and vertices, for multires displacements */
CCGError ccgSubSurf_stitchFaces(CCGSubSurf *ss, int lvl, CCGFace **effectedF, int numEffectedF)
{
CCGVert **effectedV;
CCGEdge **effectedE;
int numEffectedV, numEffectedE, freeF;
int i, S, x, gridSize, cornerIdx, subdivLevels, edgeSize;
int vertDataSize = ss->meshIFC.vertDataSize;
subdivLevels = ss->subdivLevels;
lvl = (lvl)? lvl: subdivLevels;
gridSize = 1 + (1<<(lvl-1));
edgeSize = 1 + (1<<lvl);
cornerIdx = gridSize-1;
ccgSubSurf__allFaces(ss, &effectedF, &numEffectedF, &freeF);
ccgSubSurf__effectedFaceNeighbours(ss, effectedF, numEffectedF,
&effectedV, &numEffectedV, &effectedE, &numEffectedE);
/* zero */
for (i=0; i<numEffectedV; i++) {
CCGVert *v = effectedV[i];
VertDataZero(VERT_getCo(v, lvl));
}
for (i=0; i<numEffectedE; i++) {
CCGEdge *e = effectedE[i];
for (x=0; x<edgeSize; x++)
VertDataZero(EDGE_getCo(e, lvl, x));
}
/* add */
for (i=0; i<numEffectedF; i++) {
CCGFace *f = effectedF[i];
VertDataZero(FACE_getCenterData(f));
for (S=0; S<f->numVerts; S++)
for (x=0; x<gridSize; x++)
VertDataZero(FACE_getIECo(f, lvl, S, x));
for (S=0; S<f->numVerts; S++) {
int prevS = (S+f->numVerts-1)%f->numVerts;
CCGEdge *e = FACE_getEdges(f)[S];
CCGEdge *prevE = FACE_getEdges(f)[prevS];
VertDataAdd(FACE_getCenterData(f), FACE_getIFCo(f, lvl, S, 0, 0));
if (FACE_getVerts(f)[S]->flags&Vert_eEffected)
VertDataAdd(VERT_getCo(FACE_getVerts(f)[S], lvl), FACE_getIFCo(f, lvl, S, cornerIdx, cornerIdx));
for (x=1; x<gridSize-1; x++) {
VertDataAdd(FACE_getIECo(f, lvl, S, x), FACE_getIFCo(f, lvl, S, x, 0));
VertDataAdd(FACE_getIECo(f, lvl, prevS, x), FACE_getIFCo(f, lvl, S, 0, x));
}
for (x=0; x<gridSize-1; x++) {
int eI = gridSize-1-x;
if (FACE_getEdges(f)[S]->flags&Edge_eEffected)
VertDataAdd(_edge_getCoVert(e, FACE_getVerts(f)[S], lvl, eI,vertDataSize), FACE_getIFCo(f, lvl, S, cornerIdx, x));
if (FACE_getEdges(f)[prevS]->flags&Edge_eEffected)
if(x != 0)
VertDataAdd(_edge_getCoVert(prevE, FACE_getVerts(f)[S], lvl, eI,vertDataSize), FACE_getIFCo(f, lvl, S, x, cornerIdx));
}
}
}
/* average */
for (i=0; i<numEffectedV; i++) {
CCGVert *v = effectedV[i];
VertDataMulN(VERT_getCo(v, lvl), 1.0f/v->numFaces);
}
for (i=0; i<numEffectedE; i++) {
CCGEdge *e = effectedE[i];
VertDataCopy(EDGE_getCo(e, lvl, 0), VERT_getCo(e->v0, lvl));
VertDataCopy(EDGE_getCo(e, lvl, edgeSize-1), VERT_getCo(e->v1, lvl));
for (x=1; x<edgeSize-1; x++)
VertDataMulN(EDGE_getCo(e, lvl, x), 1.0f/e->numFaces);
}
/* copy */
for (i=0; i<numEffectedF; i++) {
CCGFace *f = effectedF[i];
VertDataMulN(FACE_getCenterData(f), 1.0f/f->numVerts);
for (S=0; S<f->numVerts; S++)
for (x=1; x<gridSize-1; x++)
VertDataMulN(FACE_getIECo(f, lvl, S, x), 0.5f);
for (S=0; S<f->numVerts; S++) {
int prevS = (S+f->numVerts-1)%f->numVerts;
CCGEdge *e = FACE_getEdges(f)[S];
CCGEdge *prevE = FACE_getEdges(f)[prevS];
VertDataCopy(FACE_getIFCo(f, lvl, S, 0, 0), FACE_getCenterData(f));
VertDataCopy(FACE_getIFCo(f, lvl, S, cornerIdx, cornerIdx), VERT_getCo(FACE_getVerts(f)[S], lvl));
for (x=1; x<gridSize-1; x++) {
VertDataCopy(FACE_getIFCo(f, lvl, S, x, 0), FACE_getIECo(f, lvl, S, x));
VertDataCopy(FACE_getIFCo(f, lvl, S, 0, x), FACE_getIECo(f, lvl, prevS, x));
}
for (x=0; x<gridSize-1; x++) {
int eI = gridSize-1-x;
VertDataCopy(FACE_getIFCo(f, lvl, S, cornerIdx, x), _edge_getCoVert(e, FACE_getVerts(f)[S], lvl, eI,vertDataSize));
VertDataCopy(FACE_getIFCo(f, lvl, S, x, cornerIdx), _edge_getCoVert(prevE, FACE_getVerts(f)[S], lvl, eI,vertDataSize));
}
VertDataCopy(FACE_getIECo(f, lvl, S, 0), FACE_getCenterData(f));
VertDataCopy(FACE_getIECo(f, lvl, S, gridSize-1), FACE_getIFCo(f, lvl, S, gridSize-1, 0));
}
}
for (i=0; i<numEffectedV; i++)
effectedV[i]->flags = 0;
for (i=0; i<numEffectedE; i++)
effectedE[i]->flags = 0;
for (i=0; i<numEffectedF; i++)
effectedF[i]->flags = 0;
MEM_freeN(effectedE);
MEM_freeN(effectedV);
if(freeF) MEM_freeN(effectedF);
return eCCGError_None;
}
/* update normals for specified faces */
CCGError ccgSubSurf_updateNormals(CCGSubSurf *ss, CCGFace **effectedF, int numEffectedF) {
CCGVert **effectedV;
CCGEdge **effectedE;
int i, numEffectedV, numEffectedE, freeF;
ccgSubSurf__allFaces(ss, &effectedF, &numEffectedF, &freeF);
ccgSubSurf__effectedFaceNeighbours(ss, effectedF, numEffectedF,
&effectedV, &numEffectedV, &effectedE, &numEffectedE);
if (ss->calcVertNormals)
ccgSubSurf__calcVertNormals(ss,
effectedV, effectedE, effectedF,
numEffectedV, numEffectedE, numEffectedF);
for (i=0; i<numEffectedV; i++)
effectedV[i]->flags = 0;
for (i=0; i<numEffectedE; i++)
effectedE[i]->flags = 0;
for (i=0; i<numEffectedF; i++)
effectedF[i]->flags = 0;
MEM_freeN(effectedE);
MEM_freeN(effectedV);
if(freeF) MEM_freeN(effectedF);
return eCCGError_None;
}
/* compute subdivision levels from a given starting point, used by
multires subdivide/propagate, by filling in coordinates at a
certain level, and then subdividing that up to the highest level */
CCGError ccgSubSurf_updateLevels(CCGSubSurf *ss, int lvl, CCGFace **effectedF, int numEffectedF)
{
CCGVert **effectedV;
CCGEdge **effectedE;
int numEffectedV, numEffectedE, freeF, i;
int curLvl, subdivLevels = ss->subdivLevels;
ccgSubSurf__allFaces(ss, &effectedF, &numEffectedF, &freeF);
ccgSubSurf__effectedFaceNeighbours(ss, effectedF, numEffectedF,
&effectedV, &numEffectedV, &effectedE, &numEffectedE);
for (curLvl=lvl; curLvl<subdivLevels; curLvl++) {
ccgSubSurf__calcSubdivLevel(ss,
effectedV, effectedE, effectedF,
numEffectedV, numEffectedE, numEffectedF, curLvl);
}
for (i=0; i<numEffectedV; i++)
effectedV[i]->flags = 0;
for (i=0; i<numEffectedE; i++)
effectedE[i]->flags = 0;
for (i=0; i<numEffectedF; i++)
effectedF[i]->flags = 0;
MEM_freeN(effectedE);
MEM_freeN(effectedV);
if(freeF) MEM_freeN(effectedF);
return eCCGError_None;
}
#undef VERT_getCo
#undef EDGE_getCo
#undef FACE_getIECo
#undef FACE_getIFCo
/*** External API accessor functions ***/
int ccgSubSurf_getNumVerts(CCGSubSurf *ss) {
return ss->vMap->numEntries;
}
int ccgSubSurf_getNumEdges(CCGSubSurf *ss) {
return ss->eMap->numEntries;
}
int ccgSubSurf_getNumFaces(CCGSubSurf *ss) {
return ss->fMap->numEntries;
}
CCGVert *ccgSubSurf_getVert(CCGSubSurf *ss, CCGVertHDL v) {
return (CCGVert*) _ehash_lookup(ss->vMap, v);
}
CCGEdge *ccgSubSurf_getEdge(CCGSubSurf *ss, CCGEdgeHDL e) {
return (CCGEdge*) _ehash_lookup(ss->eMap, e);
}
CCGFace *ccgSubSurf_getFace(CCGSubSurf *ss, CCGFaceHDL f) {
return (CCGFace*) _ehash_lookup(ss->fMap, f);
}
int ccgSubSurf_getSubdivisionLevels(CCGSubSurf *ss) {
return ss->subdivLevels;
}
int ccgSubSurf_getEdgeSize(CCGSubSurf *ss) {
return ccgSubSurf_getEdgeLevelSize(ss, ss->subdivLevels);
}
int ccgSubSurf_getEdgeLevelSize(CCGSubSurf *ss, int level) {
if (level<1 || level>ss->subdivLevels) {
return -1;
} else {
return 1 + (1<<level);
}
}
int ccgSubSurf_getGridSize(CCGSubSurf *ss) {
return ccgSubSurf_getGridLevelSize(ss, ss->subdivLevels);
}
int ccgSubSurf_getGridLevelSize(CCGSubSurf *ss, int level) {
if (level<1 || level>ss->subdivLevels) {
return -1;
} else {
return 1 + (1<<(level-1));
}
}
/* Vert accessors */
CCGVertHDL ccgSubSurf_getVertVertHandle(CCGVert *v) {
return v->vHDL;
}
int ccgSubSurf_getVertAge(CCGSubSurf *ss, CCGVert *v) {
if (ss->useAgeCounts) {
byte *userData = ccgSubSurf_getVertUserData(ss, v);
return ss->currentAge - *((int*) &userData[ss->vertUserAgeOffset]);
} else {
return 0;
}
}
void *ccgSubSurf_getVertUserData(CCGSubSurf *ss, CCGVert *v) {
return VERT_getLevelData(v) + ss->meshIFC.vertDataSize*(ss->subdivLevels+1);
}
int ccgSubSurf_getVertNumFaces(CCGVert *v) {
return v->numFaces;
}
CCGFace *ccgSubSurf_getVertFace(CCGVert *v, int index) {
if (index<0 || index>=v->numFaces) {
return NULL;
} else {
return v->faces[index];
}
}
int ccgSubSurf_getVertNumEdges(CCGVert *v) {
return v->numEdges;
}
CCGEdge *ccgSubSurf_getVertEdge(CCGVert *v, int index) {
if (index<0 || index>=v->numEdges) {
return NULL;
} else {
return v->edges[index];
}
}
void *ccgSubSurf_getVertData(CCGSubSurf *ss, CCGVert *v) {
return ccgSubSurf_getVertLevelData(ss, v, ss->subdivLevels);
}
void *ccgSubSurf_getVertLevelData(CCGSubSurf *ss, CCGVert *v, int level) {
if (level<0 || level>ss->subdivLevels) {
return NULL;
} else {
return _vert_getCo(v, level, ss->meshIFC.vertDataSize);
}
}
/* Edge accessors */
CCGEdgeHDL ccgSubSurf_getEdgeEdgeHandle(CCGEdge *e) {
return e->eHDL;
}
int ccgSubSurf_getEdgeAge(CCGSubSurf *ss, CCGEdge *e) {
if (ss->useAgeCounts) {
byte *userData = ccgSubSurf_getEdgeUserData(ss, e);
return ss->currentAge - *((int*) &userData[ss->edgeUserAgeOffset]);
} else {
return 0;
}
}
void *ccgSubSurf_getEdgeUserData(CCGSubSurf *ss, CCGEdge *e) {
return EDGE_getLevelData(e) + ss->meshIFC.vertDataSize *((ss->subdivLevels+1) + (1<<(ss->subdivLevels+1))-1);
}
int ccgSubSurf_getEdgeNumFaces(CCGEdge *e) {
return e->numFaces;
}
CCGFace *ccgSubSurf_getEdgeFace(CCGEdge *e, int index) {
if (index<0 || index>=e->numFaces) {
return NULL;
} else {
return e->faces[index];
}
}
CCGVert *ccgSubSurf_getEdgeVert0(CCGEdge *e) {
return e->v0;
}
CCGVert *ccgSubSurf_getEdgeVert1(CCGEdge *e) {
return e->v1;
}
void *ccgSubSurf_getEdgeDataArray(CCGSubSurf *ss, CCGEdge *e) {
return ccgSubSurf_getEdgeData(ss, e, 0);
}
void *ccgSubSurf_getEdgeData(CCGSubSurf *ss, CCGEdge *e, int x) {
return ccgSubSurf_getEdgeLevelData(ss, e, x, ss->subdivLevels);
}
void *ccgSubSurf_getEdgeLevelData(CCGSubSurf *ss, CCGEdge *e, int x, int level) {
if (level<0 || level>ss->subdivLevels) {
return NULL;
} else {
return _edge_getCo(e, level, x, ss->meshIFC.vertDataSize);
}
}
float ccgSubSurf_getEdgeCrease(CCGEdge *e) {
return e->crease;
}
/* Face accessors */
CCGFaceHDL ccgSubSurf_getFaceFaceHandle(CCGSubSurf *UNUSED(ss), CCGFace *f) {
return f->fHDL;
}
int ccgSubSurf_getFaceAge(CCGSubSurf *ss, CCGFace *f) {
if (ss->useAgeCounts) {
byte *userData = ccgSubSurf_getFaceUserData(ss, f);
return ss->currentAge - *((int*) &userData[ss->faceUserAgeOffset]);
} else {
return 0;
}
}
void *ccgSubSurf_getFaceUserData(CCGSubSurf *ss, CCGFace *f) {
int maxGridSize = 1 + (1<<(ss->subdivLevels-1));
return FACE_getCenterData(f) + ss->meshIFC.vertDataSize *(1 + f->numVerts*maxGridSize + f->numVerts*maxGridSize*maxGridSize);
}
int ccgSubSurf_getFaceNumVerts(CCGFace *f) {
return f->numVerts;
}
CCGVert *ccgSubSurf_getFaceVert(CCGSubSurf *UNUSED(ss), CCGFace *f, int index) {
if (index<0 || index>=f->numVerts) {
return NULL;
} else {
return FACE_getVerts(f)[index];
}
}
CCGEdge *ccgSubSurf_getFaceEdge(CCGSubSurf *UNUSED(ss), CCGFace *f, int index) {
if (index<0 || index>=f->numVerts) {
return NULL;
} else {
return FACE_getEdges(f)[index];
}
}
int ccgSubSurf_getFaceEdgeIndex(CCGFace *f, CCGEdge *e) {
int i;
for (i=0; i<f->numVerts; i++)
if (FACE_getEdges(f)[i]==e)
return i;
return -1;
}
void *ccgSubSurf_getFaceCenterData(CCGFace *f) {
return FACE_getCenterData(f);
}
void *ccgSubSurf_getFaceGridEdgeDataArray(CCGSubSurf *ss, CCGFace *f, int gridIndex) {
return ccgSubSurf_getFaceGridEdgeData(ss, f, gridIndex, 0);
}
void *ccgSubSurf_getFaceGridEdgeData(CCGSubSurf *ss, CCGFace *f, int gridIndex, int x) {
return _face_getIECo(f, ss->subdivLevels, gridIndex, x, ss->subdivLevels, ss->meshIFC.vertDataSize);
}
void *ccgSubSurf_getFaceGridDataArray(CCGSubSurf *ss, CCGFace *f, int gridIndex) {
return ccgSubSurf_getFaceGridData(ss, f, gridIndex, 0, 0);
}
void *ccgSubSurf_getFaceGridData(CCGSubSurf *ss, CCGFace *f, int gridIndex, int x, int y) {
return _face_getIFCo(f, ss->subdivLevels, gridIndex, x, y, ss->subdivLevels, ss->meshIFC.vertDataSize);
}
/*** External API iterator functions ***/
CCGVertIterator *ccgSubSurf_getVertIterator(CCGSubSurf *ss) {
return (CCGVertIterator*) _ehashIterator_new(ss->vMap);
}
CCGEdgeIterator *ccgSubSurf_getEdgeIterator(CCGSubSurf *ss) {
return (CCGEdgeIterator*) _ehashIterator_new(ss->eMap);
}
CCGFaceIterator *ccgSubSurf_getFaceIterator(CCGSubSurf *ss) {
return (CCGFaceIterator*) _ehashIterator_new(ss->fMap);
}
CCGVert *ccgVertIterator_getCurrent(CCGVertIterator *vi) {
return (CCGVert*) _ehashIterator_getCurrent((EHashIterator*) vi);
}
int ccgVertIterator_isStopped(CCGVertIterator *vi) {
return _ehashIterator_isStopped((EHashIterator*) vi);
}
void ccgVertIterator_next(CCGVertIterator *vi) {
_ehashIterator_next((EHashIterator*) vi);
}
void ccgVertIterator_free(CCGVertIterator *vi) {
_ehashIterator_free((EHashIterator*) vi);
}
CCGEdge *ccgEdgeIterator_getCurrent(CCGEdgeIterator *vi) {
return (CCGEdge*) _ehashIterator_getCurrent((EHashIterator*) vi);
}
int ccgEdgeIterator_isStopped(CCGEdgeIterator *vi) {
return _ehashIterator_isStopped((EHashIterator*) vi);
}
void ccgEdgeIterator_next(CCGEdgeIterator *vi) {
_ehashIterator_next((EHashIterator*) vi);
}
void ccgEdgeIterator_free(CCGEdgeIterator *vi) {
_ehashIterator_free((EHashIterator*) vi);
}
CCGFace *ccgFaceIterator_getCurrent(CCGFaceIterator *vi) {
return (CCGFace*) _ehashIterator_getCurrent((EHashIterator*) vi);
}
int ccgFaceIterator_isStopped(CCGFaceIterator *vi) {
return _ehashIterator_isStopped((EHashIterator*) vi);
}
void ccgFaceIterator_next(CCGFaceIterator *vi) {
_ehashIterator_next((EHashIterator*) vi);
}
void ccgFaceIterator_free(CCGFaceIterator *vi) {
_ehashIterator_free((EHashIterator*) vi);
}
/*** Extern API final vert/edge/face interface ***/
int ccgSubSurf_getNumFinalVerts(CCGSubSurf *ss) {
int edgeSize = 1 + (1<<ss->subdivLevels);
int gridSize = 1 + (1<<(ss->subdivLevels-1));
int numFinalVerts = ss->vMap->numEntries + ss->eMap->numEntries*(edgeSize-2) + ss->fMap->numEntries + ss->numGrids*((gridSize-2) + ((gridSize-2)*(gridSize-2)));
return numFinalVerts;
}
int ccgSubSurf_getNumFinalEdges(CCGSubSurf *ss) {
int edgeSize = 1 + (1<<ss->subdivLevels);
int gridSize = 1 + (1<<(ss->subdivLevels-1));
int numFinalEdges = ss->eMap->numEntries*(edgeSize-1) + ss->numGrids*((gridSize-1) + 2*((gridSize-2)*(gridSize-1)));
return numFinalEdges;
}
int ccgSubSurf_getNumFinalFaces(CCGSubSurf *ss) {
int gridSize = 1 + (1<<(ss->subdivLevels-1));
int numFinalFaces = ss->numGrids*((gridSize-1)*(gridSize-1));
return numFinalFaces;
}
|
GB_unaryop__ainv_fp64_int16.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__ainv_fp64_int16
// op(A') function: GB_tran__ainv_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_CASTING(z, x) \
double z = (double) 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_AINV || GxB_NO_FP64 || GxB_NO_INT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__ainv_fp64_int16
(
double *restrict Cx,
const int16_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__ainv_fp64_int16
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **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
|
grid.c | /* Copyright 2014-2015 The Regents of the University of California.
* Copyright 2015-2019 Martin Uecker.
* All rights reserved. Use of this source code is governed by
* a BSD-style license which can be found in the LICENSE file.
*
* 2011-2019 Martin Uecker <martin.uecker@med.uni-goettingen.de>
* 2014 Frank Ong <frankong@berkeley.edu>
*/
#include <math.h>
#include <complex.h>
#include <assert.h>
#include <string.h>
#include "num/multind.h"
#include "num/flpmath.h"
#include "num/specfun.h"
#include "misc/nested.h"
#include "misc/misc.h"
#include "grid.h"
static double kb(double beta, double x)
{
if (fabs(x) >= 0.5)
return 0.;
return bessel_i0(beta * sqrt(1. - pow(2. * x, 2.))) / bessel_i0(beta);
}
static void kb_precompute(double beta, int n, float table[n + 1])
{
for (int i = 0; i < n + 1; i++)
table[i] = kb(beta, (double)(i) / (double)(n - 1) / 2.);
}
static double ftkb(double beta, double x)
{
double a = sqrt(pow(beta, 2.) - pow(M_PI * x, 2.));
return ((0. == a) ? 1. : (a / sinh(a))); // * bessel_i0(beta);
}
static double rolloff(double x, double beta, double width)
{
return ftkb(beta, x * width) / ftkb(beta, 0.);
}
// Linear interpolation
static float lerp(float a, float b, float c)
{
return (1. - c) * a + c * b;
}
// Linear interpolation look up
static float intlookup(int n, const float table[n + 1], float x)
{
float fpart;
// fpart = modff(x * n, &ipart);
// int index = ipart;
int index = (int)(x * (n - 1));
fpart = x * (n - 1) - (float)index;
#if 1
assert(index >= 0);
assert(index <= n);
assert(fpart >= 0.);
assert(fpart <= 1.);
#endif
float l = lerp(table[index], table[index + 1], fpart);
#if 1
assert(l <= 1.);
assert(0 >= 0.);
#endif
return l;
}
enum { kb_size = 100 };
static float kb_table[kb_size + 1];
static float kb_beta = -1.;
void gridH(const struct grid_conf_s* conf, const complex float* traj, const long ksp_dims[4], complex float* dst, const long grid_dims[4], const complex float* grid)
{
long C = ksp_dims[3];
// precompute kaiser bessel table
#pragma omp critical
if (-1 == kb_beta) {
kb_precompute(conf->beta, kb_size, kb_table);
kb_beta = conf->beta;
}
assert(fabs(kb_beta - conf->beta) < 1.E-6);
assert(1 == ksp_dims[0]);
long samples = ksp_dims[1] * ksp_dims[2];
#pragma omp parallel for
for(int i = 0; i < samples; i++) {
float pos[3];
pos[0] = conf->os * (creal(traj[i * 3 + 0]));
pos[1] = conf->os * (creal(traj[i * 3 + 1]));
pos[2] = conf->os * (creal(traj[i * 3 + 2]));
pos[0] += (grid_dims[0] > 1) ? ((float)grid_dims[0] / 2.) : 0.;
pos[1] += (grid_dims[1] > 1) ? ((float)grid_dims[1] / 2.) : 0.;
pos[2] += (grid_dims[2] > 1) ? ((float)grid_dims[2] / 2.) : 0.;
complex float val[C];
for (int j = 0; j < C; j++)
val[j] = 0.0;
grid_pointH(C, 3, grid_dims, pos, val, grid, conf->periodic, conf->width, kb_size, kb_table);
for (int j = 0; j < C; j++)
dst[j * samples + i] += val[j];
}
}
void grid(const struct grid_conf_s* conf, const complex float* traj, const long grid_dims[4], complex float* grid, const long ksp_dims[4], const complex float* src)
{
long C = ksp_dims[3];
// precompute kaiser bessel table
#pragma omp critical
if (-1 == kb_beta) {
kb_precompute(conf->beta, kb_size, kb_table);
kb_beta = conf->beta;
}
assert(fabs(kb_beta - conf->beta) < 1.E-6);
assert(1 == ksp_dims[0]);
long samples = ksp_dims[1] * ksp_dims[2];
// grid
#pragma omp parallel for
for(int i = 0; i < samples; i++) {
float pos[3];
pos[0] = conf->os * (creal(traj[i * 3 + 0]));
pos[1] = conf->os * (creal(traj[i * 3 + 1]));
pos[2] = conf->os * (creal(traj[i * 3 + 2]));
pos[0] += (grid_dims[0] > 1) ? ((float) grid_dims[0] / 2.) : 0.;
pos[1] += (grid_dims[1] > 1) ? ((float) grid_dims[1] / 2.) : 0.;
pos[2] += (grid_dims[2] > 1) ? ((float) grid_dims[2] / 2.) : 0.;
complex float val[C];
for (int j = 0; j < C; j++)
val[j] = src[j * samples + i];
grid_point(C, 3, grid_dims, pos, grid, val, conf->periodic, conf->width, kb_size, kb_table);
}
}
static void grid2_dims(unsigned int D, const long trj_dims[D], const long ksp_dims[D], const long grid_dims[D])
{
assert(D >= 4);
assert(md_check_compat(D - 3, ~0, grid_dims + 3, ksp_dims + 3));
// assert(md_check_compat(D - 3, ~(MD_BIT(0) | MD_BIT(1)), trj_dims + 3, ksp_dims + 3));
assert(md_check_bounds(D - 3, ~0, trj_dims + 3, ksp_dims + 3));
assert(3 == trj_dims[0]);
assert(1 == trj_dims[3]);
assert(1 == ksp_dims[0]);
}
void grid2(const struct grid_conf_s* conf, unsigned int D, const long trj_dims[D], const complex float* traj, const long grid_dims[D], complex float* dst, const long ksp_dims[D], const complex float* src)
{
grid2_dims(D, trj_dims, ksp_dims, grid_dims);
long ksp_strs[D];
md_calc_strides(D, ksp_strs, ksp_dims, CFL_SIZE);
long trj_strs[D];
md_calc_strides(D, trj_strs, trj_dims, CFL_SIZE);
long grid_strs[D];
md_calc_strides(D, grid_strs, grid_dims, CFL_SIZE);
long pos[D];
for (unsigned int i = 0; i < D; i++)
pos[i] = 0;
do {
grid(conf, &MD_ACCESS(D, trj_strs, pos, traj),
grid_dims, &MD_ACCESS(D, grid_strs, pos, dst),
ksp_dims, &MD_ACCESS(D, ksp_strs, pos, src));
} while(md_next(D, ksp_dims, (~0 ^ 15), pos));
}
void grid2H(const struct grid_conf_s* conf, unsigned int D, const long trj_dims[D], const complex float* traj, const long ksp_dims[D], complex float* dst, const long grid_dims[D], const complex float* src)
{
grid2_dims(D, trj_dims, ksp_dims, grid_dims);
long ksp_strs[D];
md_calc_strides(D, ksp_strs, ksp_dims, CFL_SIZE);
long trj_strs[D];
md_calc_strides(D, trj_strs, trj_dims, CFL_SIZE);
long grid_strs[D];
md_calc_strides(D, grid_strs, grid_dims, CFL_SIZE);
long pos[D];
for (unsigned int i = 0; i < D; i++)
pos[i] = 0;
do {
gridH(conf, &MD_ACCESS(D, trj_strs, pos, traj),
ksp_dims, &MD_ACCESS(D, ksp_strs, pos, dst),
grid_dims, &MD_ACCESS(D, grid_strs, pos, src));
} while(md_next(D, ksp_dims, (~0 ^ 15), pos));
}
typedef void CLOSURE_TYPE(grid_update_t)(long ind, float d);
#ifndef __clang__
#define VLA(x) x
#else
// blocks extension does not play well even with arguments which
// just look like variably-modified types
#define VLA(x)
#endif
static void grid_point_gen(int N, const long dims[VLA(N)], const float pos[VLA(N)], bool periodic, float width, int kb_size, const float kb_table[VLA(kb_size + 1)], grid_update_t update)
{
#ifndef __clang__
int sti[N];
int eni[N];
int off[N];
#else
// blocks extension does not play well with variably-modified types
int* sti = alloca(sizeof(int[N]));
int* eni = alloca(sizeof(int[N]));
int* off = alloca(sizeof(int[N]));
#endif
for (int j = 0; j < N; j++) {
sti[j] = (int)ceil(pos[j] - width);
eni[j] = (int)floor(pos[j] + width);
off[j] = 0;
if (sti[j] > eni[j])
return;
if (!periodic) {
sti[j] = MAX(sti[j], 0);
eni[j] = MIN(eni[j], dims[j] - 1);
} else {
while (sti[j] + off[j] < 0)
off[j] += dims[j];
}
if (1 == dims[j]) {
assert(0. == pos[j]); // ==0. fails nondeterministically for test_nufft_forward bbdec08cb
sti[j] = 0;
eni[j] = 0;
}
}
__block NESTED(void, grid_point_r, (int N, long ind, float d)) // __block for recursion
{
if (0 == N) {
NESTED_CALL(update, (ind, d));
} else {
N--;
for (int w = sti[N]; w <= eni[N]; w++) {
float frac = fabs(((float)w - pos[N]));
float d2 = d * intlookup(kb_size, kb_table, frac / width);
long ind2 = (ind * dims[N] + ((w + off[N]) % dims[N]));
grid_point_r(N, ind2, d2);
}
}
};
grid_point_r(N, 0, 1.);
}
void grid_point(unsigned int ch, int N, const long dims[VLA(N)], const float pos[VLA(N)], complex float* dst, const complex float val[VLA(ch)], bool periodic, float width, int kb_size, const float kb_table[kb_size + 1])
{
NESTED(void, update, (long ind, float d))
{
for (unsigned int c = 0; c < ch; c++) {
// we are allowed to update real and imaginary part independently which works atomically
#pragma omp atomic
__real(dst[ind + c * dims[0] * dims[1] * dims[2]]) += __real(val[c]) * d;
#pragma omp atomic
__imag(dst[ind + c * dims[0] * dims[1] * dims[2]]) += __imag(val[c]) * d;
}
};
grid_point_gen(N, dims, pos, periodic, width, kb_size, kb_table, update);
}
void grid_pointH(unsigned int ch, int N, const long dims[VLA(N)], const float pos[VLA(N)], complex float val[VLA(ch)], const complex float* src, bool periodic, float width, int kb_size, const float kb_table[kb_size + 1])
{
NESTED(void, update, (long ind, float d))
{
for (unsigned int c = 0; c < ch; c++) {
__real(val[c]) += __real(src[ind + c * dims[0] * dims[1] * dims[2]]) * d;
__imag(val[c]) += __imag(src[ind + c * dims[0] * dims[1] * dims[2]]) * d;
}
};
grid_point_gen(N, dims, pos, periodic, width, kb_size, kb_table, update);
}
double calc_beta(float os, float width)
{
return M_PI * sqrt(pow((width * 2. / os) * (os - 0.5), 2.) - 0.8);
}
static float pos(int d, int i)
{
return (1 == d) ? 0. : (((float)i - (float)d / 2.) / (float)d);
}
void rolloff_correction(float os, float width, float beta, const long dimensions[3], complex float* dst)
{
#pragma omp parallel for collapse(3)
for (int z = 0; z < dimensions[2]; z++)
for (int y = 0; y < dimensions[1]; y++)
for (int x = 0; x < dimensions[0]; x++)
dst[x + dimensions[0] * (y + z * dimensions[1])]
= rolloff(os * pos(dimensions[0], x), beta, width)
* rolloff(os * pos(dimensions[1], y), beta, width)
* rolloff(os * pos(dimensions[2], z), beta, width);
}
|
allocator.h | #pragma once
#include "adabs/pgas_addr.h"
namespace adabs {
namespace impl {
inline void* real_allocate(const int num_objects, const int batch_size, const int sizeT, const int alignmentT);
}
/**
* This is our single assignment allocator, that is it creates all our
* single assignment shared memory. It will allocate memory as follows
* FTTTTTTTTTTTFTTTTTTTTTTTFTTTTTTTTTTT
* |---num---| |---num---| |---num---|
* whereas F is our flag indicating if data is available
* T is the data
* num indicates the batch size
* NOTE: This allocator follows the STL concept, but is not expected
* to be STL conform. We may decide to bend (or even break)
* parts of what is expected from STL allocators. After all
* STL allocators are "weird" (see Effective STL)
* Currently missing:
* - non-const references
* - max_size()
*/
template <typename T>
class pgas_addr;
template <typename T>
struct allocator;
// specialize for void, since we can't have void&
// not sure if we really need this...
template <>
struct allocator<void> {
typedef pgas_addr<void> pointer;
typedef const pgas_addr<void> const_pointer;
typedef void value_type;
template <class U> struct rebind { typedef allocator<U> other; };
};
template <typename T>
struct allocator {
/***************** TYPEDEFS ***********************/
typedef size_t size_type;
//typedef ptrdiff_t difference_type;
typedef pgas_addr<T> pointer;
typedef const pgas_addr<T> const_pointer;
typedef T value_type;
//typedef T& reference;
typedef const T& const_reference;
// allows to rebind this allocator to a different type
template <typename U> struct rebind { typedef allocator<U> other; };
/***************** CONSTRUCTORS ********************/
allocator() throw() {}
allocator(const allocator&) throw() {}
template <class U> allocator(const allocator<U>&) throw() {}
~allocator() throw() {}
/****************** ALLOCATE **********************/
static pointer allocate(size_type num_objects, const void* localityHint = 0) {
void* ptr = allocate (num_objects, 1, localityHint);
return pointer(ptr, 1);
}
static pointer allocate(size_type num_objects, size_type batch_size, const void* localityHint = 0) {
int a = tools::alignment<T>::val();
if (a<sizeof(int)) a = sizeof(int);
void* ptr = impl::real_allocate(num_objects, batch_size, sizeof(T), a);
return pointer(ptr, batch_size);
}
/****************** DEALLOCATE **********************/
static void deallocate(pointer &p, size_type n) {
deallocate(p);
}
static void deallocate(pointer &p);
/****************** CONSTRUCT **********************/
static void construct(pointer p, const T& val);
static void destroy(pointer p);
/****************** ADDRESS **********************/
static const_pointer address(const_reference x);
};
template <typename T>
void allocator<T>::deallocate(pointer &p) {
assert(p.is_local());
free(p._orig_ptr);
}
template <typename T>
void allocator<T>::construct(pointer p, const T& val) {
// TODO
throw "not implemented";
p->T(val);
}
template <typename T>
void allocator<T>::destroy(pointer p) {
// TODO
throw "not implemented";
p->~T();
}
template <typename T>
allocator<T>::const_pointer allocator<T>::address(const_reference x) {
char* ptr = &x;
ptr -= sizeof(int);
return const_pointer((void*)ptr);
}
template <class T1, class T2>
bool operator==(const allocator<T1>&, const allocator<T2>&) throw() {
return true;
}
template <class T1, class T2>
bool operator!=(const allocator<T1>&, const allocator<T2>&) throw() {
return false;
}
namespace impl {
inline void* real_allocate(const int num_objects, const int batch_size, const int sizeT, const int alignmentT) {
const size_t batch_mem_size = sizeT * batch_size + alignmentT;
//#pragma omp critical
//std::cout << "malloc: |T| = " << sizeT << ", #batch = " << batch_size << ", alignment = " << alignmentT << std::endl;
const size_t num_batch = (num_objects % batch_size == 0)
? (num_objects / batch_size)
: (num_objects / batch_size) + 1;
const size_t mem_size = num_batch * batch_mem_size;
//std::cout << "malloc: #batches = " << num_batch << ", |batch| = " << batch_mem_size << std::endl;
void *ptr = malloc (mem_size);
char *init_ptr = (char*)ptr;
//#pragma omp critical
//std::cout << "malloc: returned " << ptr << " to " << (void*)((char*)ptr + mem_size) << ", bytes: " << mem_size << std::endl;
for (int i=0; i<num_batch; ++i) {
//std::cout << "init ptr " << (void*)init_ptr << std::endl;
init_ptr += batch_mem_size - alignmentT;
//std::cout << "init ptr " << (void*)init_ptr << std::endl;
int *flag_ptr = (int*)init_ptr;
//#pragma omp critical
//std::cout << "write 0 to " << flag_ptr << std::endl;
*flag_ptr = 0;
init_ptr += alignmentT;
}
return ptr;
}
}
}
|
omp_reduction.c | #include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <omp.h>
#include <sys/time.h>
#define N 1000000000
#define MESUREMENTS 300
#define NUM_THREADS 12
int main (int argc, char *argv[])
{
int i, n, sum;
int* a;
a = malloc(N*sizeof(int));
sum = 0;
struct timeval time;
gettimeofday(&time, NULL); //END-TIME
double totalTime = (time.tv_sec * 1000) + (time.tv_usec / 1000.0);
int t;
for(t = 0 ; t< MESUREMENTS; t++) {
omp_set_num_threads(NUM_THREADS);
#pragma omp parallel for reduction(+:sum)
for (i=0; i < N; i++)
sum = sum + a[i];
}
gettimeofday(&time, NULL); //END-TIME
totalTime = (((time.tv_sec * 1000) + (time.tv_usec / 1000.0)) - totalTime);
printf("%i, %lf\n",i, totalTime/MESUREMENTS);
}
|
decorate.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% DDDD EEEEE CCCC OOO RRRR AAA TTTTT EEEEE %
% D D E C O O R R A A T E %
% D D EEE C O O RRRR AAAAA T EEE %
% D D E C O O R R A A T E %
% DDDD EEEEE CCCC OOO R R A A T EEEEE %
% %
% %
% MagickCore Image Decoration Methods %
% %
% Software Design %
% John Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2013 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 "magick/studio.h"
#include "magick/cache-view.h"
#include "magick/channel.h"
#include "magick/color-private.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/decorate.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/image.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/pixel-accessor.h"
#include "magick/pixel-private.h"
#include "magick/quantum.h"
#include "magick/resource_.h"
#include "magick/thread-private.h"
#include "magick/transform.h"
/*
Define declarations.
*/
#define AccentuateModulate ScaleCharToQuantum(80)
#define HighlightModulate ScaleCharToQuantum(125)
#define ShadowModulate ScaleCharToQuantum(135)
#define DepthModulate ScaleCharToQuantum(185)
#define TroughModulate ScaleCharToQuantum(110)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B o r d e r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BorderImage() surrounds the image with a border of the color defined by
% the bordercolor member of the image structure. The width and height
% of the border are defined by the corresponding members of the border_info
% structure.
%
% The format of the BorderImage method is:
%
% Image *BorderImage(const Image *image,const RectangleInfo *border_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o border_info: Define the width and height of the border.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *BorderImage(const Image *image,
const RectangleInfo *border_info,ExceptionInfo *exception)
{
Image
*border_image,
*clone_image;
FrameInfo
frame_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(border_info != (RectangleInfo *) NULL);
frame_info.width=image->columns+(border_info->width << 1);
frame_info.height=image->rows+(border_info->height << 1);
frame_info.x=(ssize_t) border_info->width;
frame_info.y=(ssize_t) border_info->height;
frame_info.inner_bevel=0;
frame_info.outer_bevel=0;
clone_image=CloneImage(image,0,0,MagickTrue,exception);
if (clone_image == (Image *) NULL)
return((Image *) NULL);
clone_image->matte_color=image->border_color;
border_image=FrameImage(clone_image,&frame_info,exception);
clone_image=DestroyImage(clone_image);
if (border_image != (Image *) NULL)
border_image->matte_color=image->matte_color;
return(border_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F r a m e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FrameImage() adds a simulated three-dimensional border around the image.
% The color of the border is defined by the matte_color member of image.
% Members width and height of frame_info specify the border width of the
% vertical and horizontal sides of the frame. Members inner and outer
% indicate the width of the inner and outer shadows of the frame.
%
% The format of the FrameImage method is:
%
% Image *FrameImage(const Image *image,const FrameInfo *frame_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o frame_info: Define the width and height of the frame and its bevels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *FrameImage(const Image *image,const FrameInfo *frame_info,
ExceptionInfo *exception)
{
#define FrameImageTag "Frame/Image"
CacheView
*image_view,
*frame_view;
Image
*frame_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
accentuate,
border,
highlight,
interior,
matte,
shadow,
trough;
register ssize_t
x;
size_t
bevel_width,
height,
width;
ssize_t
y;
/*
Check frame geometry.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(frame_info != (FrameInfo *) NULL);
if ((frame_info->outer_bevel < 0) || (frame_info->inner_bevel < 0))
ThrowImageException(OptionError,"FrameIsLessThanImageSize");
bevel_width=(size_t) (frame_info->outer_bevel+frame_info->inner_bevel);
width=frame_info->width-frame_info->x-bevel_width;
height=frame_info->height-frame_info->y-bevel_width;
if ((width < image->columns) || (height < image->rows))
ThrowImageException(OptionError,"FrameIsLessThanImageSize");
/*
Initialize framed image attributes.
*/
frame_image=CloneImage(image,frame_info->width,frame_info->height,MagickTrue,
exception);
if (frame_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(frame_image,DirectClass) == MagickFalse)
{
InheritException(exception,&frame_image->exception);
frame_image=DestroyImage(frame_image);
return((Image *) NULL);
}
if ((IsPixelGray(&frame_image->border_color) == MagickFalse) &&
(IsGrayColorspace(frame_image->colorspace) != MagickFalse))
(void) SetImageColorspace(frame_image,RGBColorspace);
if ((frame_image->border_color.opacity != OpaqueOpacity) &&
(frame_image->matte == MagickFalse))
(void) SetImageAlphaChannel(frame_image,OpaqueAlphaChannel);
frame_image->page=image->page;
if ((image->page.width != 0) && (image->page.height != 0))
{
frame_image->page.width+=frame_image->columns-image->columns;
frame_image->page.height+=frame_image->rows-image->rows;
}
/*
Initialize 3D effects color.
*/
GetMagickPixelPacket(frame_image,&interior);
SetMagickPixelPacket(frame_image,&image->border_color,(IndexPacket *) NULL,
&interior);
GetMagickPixelPacket(frame_image,&matte);
matte.colorspace=sRGBColorspace;
SetMagickPixelPacket(frame_image,&image->matte_color,(IndexPacket *) NULL,
&matte);
GetMagickPixelPacket(frame_image,&border);
border.colorspace=sRGBColorspace;
SetMagickPixelPacket(frame_image,&image->border_color,(IndexPacket *) NULL,
&border);
GetMagickPixelPacket(frame_image,&accentuate);
accentuate.red=(MagickRealType) (QuantumScale*((QuantumRange-
AccentuateModulate)*matte.red+(QuantumRange*AccentuateModulate)));
accentuate.green=(MagickRealType) (QuantumScale*((QuantumRange-
AccentuateModulate)*matte.green+(QuantumRange*AccentuateModulate)));
accentuate.blue=(MagickRealType) (QuantumScale*((QuantumRange-
AccentuateModulate)*matte.blue+(QuantumRange*AccentuateModulate)));
accentuate.opacity=matte.opacity;
GetMagickPixelPacket(frame_image,&highlight);
highlight.red=(MagickRealType) (QuantumScale*((QuantumRange-
HighlightModulate)*matte.red+(QuantumRange*HighlightModulate)));
highlight.green=(MagickRealType) (QuantumScale*((QuantumRange-
HighlightModulate)*matte.green+(QuantumRange*HighlightModulate)));
highlight.blue=(MagickRealType) (QuantumScale*((QuantumRange-
HighlightModulate)*matte.blue+(QuantumRange*HighlightModulate)));
highlight.opacity=matte.opacity;
GetMagickPixelPacket(frame_image,&shadow);
shadow.red=QuantumScale*matte.red*ShadowModulate;
shadow.green=QuantumScale*matte.green*ShadowModulate;
shadow.blue=QuantumScale*matte.blue*ShadowModulate;
shadow.opacity=matte.opacity;
GetMagickPixelPacket(frame_image,&trough);
trough.red=QuantumScale*matte.red*TroughModulate;
trough.green=QuantumScale*matte.green*TroughModulate;
trough.blue=QuantumScale*matte.blue*TroughModulate;
trough.opacity=matte.opacity;
if (image->colorspace == CMYKColorspace)
{
ConvertRGBToCMYK(&interior);
ConvertRGBToCMYK(&matte);
ConvertRGBToCMYK(&border);
ConvertRGBToCMYK(&accentuate);
ConvertRGBToCMYK(&highlight);
ConvertRGBToCMYK(&shadow);
ConvertRGBToCMYK(&trough);
}
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
frame_view=AcquireAuthenticCacheView(frame_image,exception);
height=(size_t) (frame_info->outer_bevel+(frame_info->y-bevel_width)+
frame_info->inner_bevel);
if (height != 0)
{
register IndexPacket
*restrict frame_indexes;
register ssize_t
x;
register PixelPacket
*restrict q;
/*
Draw top of ornamental border.
*/
q=QueueCacheViewAuthenticPixels(frame_view,0,0,frame_image->columns,
height,exception);
frame_indexes=GetCacheViewAuthenticIndexQueue(frame_view);
if (q != (PixelPacket *) NULL)
{
/*
Draw top of ornamental border.
*/
for (y=0; y < (ssize_t) frame_info->outer_bevel; y++)
{
for (x=0; x < (ssize_t) (frame_image->columns-y); x++)
{
if (x < y)
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
else
SetPixelPacket(frame_image,&accentuate,q,frame_indexes);
q++;
frame_indexes++;
}
for ( ; x < (ssize_t) frame_image->columns; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
for (y=0; y < (ssize_t) (frame_info->y-bevel_width); y++)
{
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_image->columns-2*frame_info->outer_bevel;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
for (y=0; y < (ssize_t) frame_info->inner_bevel; y++)
{
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) (frame_info->x-bevel_width); x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
width=image->columns+((size_t) frame_info->inner_bevel << 1)-
y;
for (x=0; x < (ssize_t) width; x++)
{
if (x < y)
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
else
SetPixelPacket(frame_image,&trough,q,frame_indexes);
q++;
frame_indexes++;
}
for ( ; x < (ssize_t) (image->columns+2*frame_info->inner_bevel); x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_info->width-frame_info->x-image->columns-bevel_width;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
(void) SyncCacheViewAuthenticPixels(frame_view,exception);
}
}
/*
Draw sides of ornamental border.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,frame_image,1,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*restrict frame_indexes;
register ssize_t
x;
register PixelPacket
*restrict q;
/*
Initialize scanline with matte color.
*/
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(frame_view,0,frame_info->y+y,
frame_image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
frame_indexes=GetCacheViewAuthenticIndexQueue(frame_view);
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) (frame_info->x-bevel_width); x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->inner_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
/*
Set frame interior to interior color.
*/
if ((image->compose != CopyCompositeOp) &&
((image->compose != OverCompositeOp) || (image->matte != MagickFalse)))
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelPacket(frame_image,&interior,q,frame_indexes);
q++;
frame_indexes++;
}
else
{
register const IndexPacket
*indexes;
register const PixelPacket
*p;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
(void) CopyMagickMemory(q,p,image->columns*sizeof(*p));
if ((image->colorspace == CMYKColorspace) &&
(frame_image->colorspace == CMYKColorspace))
{
(void) CopyMagickMemory(frame_indexes,indexes,image->columns*
sizeof(*indexes));
frame_indexes+=image->columns;
}
q+=image->columns;
}
for (x=0; x < (ssize_t) frame_info->inner_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_info->width-frame_info->x-image->columns-bevel_width;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
if (SyncCacheViewAuthenticPixels(frame_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_FrameImage)
#endif
proceed=SetImageProgress(image,FrameImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
height=(size_t) (frame_info->inner_bevel+frame_info->height-
frame_info->y-image->rows-bevel_width+frame_info->outer_bevel);
if (height != 0)
{
register IndexPacket
*restrict frame_indexes;
register ssize_t
x;
register PixelPacket
*restrict q;
/*
Draw bottom of ornamental border.
*/
q=QueueCacheViewAuthenticPixels(frame_view,0,(ssize_t) (frame_image->rows-
height),frame_image->columns,height,exception);
if (q != (PixelPacket *) NULL)
{
/*
Draw bottom of ornamental border.
*/
frame_indexes=GetCacheViewAuthenticIndexQueue(frame_view);
for (y=frame_info->inner_bevel-1; y >= 0; y--)
{
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) (frame_info->x-bevel_width); x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < y; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
for ( ; x < (ssize_t) (image->columns+2*frame_info->inner_bevel); x++)
{
if (x >= (ssize_t) (image->columns+2*frame_info->inner_bevel-y))
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
else
SetPixelPacket(frame_image,&accentuate,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_info->width-frame_info->x-image->columns-bevel_width;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
height=frame_info->height-frame_info->y-image->rows-bevel_width;
for (y=0; y < (ssize_t) height; y++)
{
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_image->columns-2*frame_info->outer_bevel;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
for (y=frame_info->outer_bevel-1; y >= 0; y--)
{
for (x=0; x < y; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
for ( ; x < (ssize_t) frame_image->columns; x++)
{
if (x >= (ssize_t) (frame_image->columns-y))
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
else
SetPixelPacket(frame_image,&trough,q,frame_indexes);
q++;
frame_indexes++;
}
}
(void) SyncCacheViewAuthenticPixels(frame_view,exception);
}
}
frame_view=DestroyCacheView(frame_view);
image_view=DestroyCacheView(image_view);
if ((image->compose != CopyCompositeOp) &&
((image->compose != OverCompositeOp) || (image->matte != MagickFalse)))
{
x=(ssize_t) (frame_info->outer_bevel+(frame_info->x-bevel_width)+
frame_info->inner_bevel);
y=(ssize_t) (frame_info->outer_bevel+(frame_info->y-bevel_width)+
frame_info->inner_bevel);
(void) CompositeImage(frame_image,image->compose,image,x,y);
}
if (status == MagickFalse)
frame_image=DestroyImage(frame_image);
return(frame_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R a i s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RaiseImage() creates a simulated three-dimensional button-like effect
% by lightening and darkening the edges of the image. Members width and
% height of raise_info define the width of the vertical and horizontal
% edge of the effect.
%
% The format of the RaiseImage method is:
%
% MagickBooleanType RaiseImage(const Image *image,
% const RectangleInfo *raise_info,const MagickBooleanType raise)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o raise_info: Define the width and height of the raise area.
%
% o raise: A value other than zero creates a 3-D raise effect,
% otherwise it has a lowered effect.
%
*/
MagickExport MagickBooleanType RaiseImage(Image *image,
const RectangleInfo *raise_info,const MagickBooleanType raise)
{
#define AccentuateFactor ScaleCharToQuantum(135)
#define HighlightFactor ScaleCharToQuantum(190)
#define ShadowFactor ScaleCharToQuantum(190)
#define RaiseImageTag "Raise/Image"
#define TroughFactor ScaleCharToQuantum(135)
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
Quantum
foreground,
background;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(raise_info != (RectangleInfo *) NULL);
if ((image->columns <= (raise_info->width << 1)) ||
(image->rows <= (raise_info->height << 1)))
ThrowBinaryException(OptionError,"ImageSizeMustExceedBevelWidth",
image->filename);
foreground=QuantumRange;
background=(Quantum) 0;
if (raise == MagickFalse)
{
foreground=(Quantum) 0;
background=QuantumRange;
}
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
/*
Raise image.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,1,1)
#endif
for (y=0; y < (ssize_t) raise_info->height; y++)
{
register ssize_t
x;
register PixelPacket
*restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < y; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
q++;
}
for ( ; x < (ssize_t) (image->columns-y); x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*AccentuateFactor+(MagickRealType) foreground*
(QuantumRange-AccentuateFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*AccentuateFactor+(MagickRealType) foreground*
(QuantumRange-AccentuateFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*AccentuateFactor+(MagickRealType) foreground*
(QuantumRange-AccentuateFactor))));
q++;
}
for ( ; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
q++;
}
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_RaiseImage)
#endif
proceed=SetImageProgress(image,RaiseImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,1,1)
#endif
for (y=(ssize_t) raise_info->height; y < (ssize_t) (image->rows-raise_info->height); y++)
{
register ssize_t
x;
register PixelPacket
*restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) raise_info->width; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
q++;
}
for ( ; x < (ssize_t) (image->columns-raise_info->width); x++)
q++;
for ( ; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
q++;
}
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_RaiseImage)
#endif
proceed=SetImageProgress(image,RaiseImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,1,1)
#endif
for (y=(ssize_t) (image->rows-raise_info->height); y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register PixelPacket
*restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) (image->rows-y); x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
q++;
}
for ( ; x < (ssize_t) (image->columns-(image->rows-y)); x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*TroughFactor+(MagickRealType) background*
(QuantumRange-TroughFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*TroughFactor+(MagickRealType) background*
(QuantumRange-TroughFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*TroughFactor+(MagickRealType) background*
(QuantumRange-TroughFactor))));
q++;
}
for ( ; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
q++;
}
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_RaiseImage)
#endif
proceed=SetImageProgress(image,RaiseImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
|
hola_thread.c | #include <stdio.h>
#include "omp.h"
/*
Basado en el tutorial:
http://openmp.org/mp-documents/omp-hands-on-SC08.pdf
*/
void main(){
#pragma omp parallel
{
int id = omp_get_thread_num();
printf("Hola Mundo (%d)\n", id);
}
}
|
GB_unop__identity_fc64_uint8.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_fc64_uint8
// op(A') function: GB_unop_tran__identity_fc64_uint8
// C type: GxB_FC64_t
// A type: uint8_t
// cast: GxB_FC64_t cij = GxB_CMPLX ((double) (aij), 0)
// unaryop: cij = aij
#define GB_ATYPE \
uint8_t
#define GB_CTYPE \
GxB_FC64_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_CAST(z, aij) \
GxB_FC64_t z = GxB_CMPLX ((double) (aij), 0) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint8_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC64_t z = GxB_CMPLX ((double) (aij), 0) ; \
Cx [pC] = z ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
0
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FC64 || GxB_NO_UINT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__identity_fc64_uint8
(
GxB_FC64_t *Cx, // Cx and Ax may be aliased
const uint8_t *Ax,
const int8_t *GB_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)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (uint8_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
uint8_t aij = Ax [p] ;
GxB_FC64_t z = GxB_CMPLX ((double) (aij), 0) ;
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 ;
uint8_t aij = Ax [p] ;
GxB_FC64_t z = GxB_CMPLX ((double) (aij), 0) ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__identity_fc64_uint8
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_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
|
l3d.c | // This file is a part of Julia. License is MIT: http://julialang.org/license
// GCC command line: gcc -fopenmp -mavx2 laplace3d.c -o laplace3d
/* Laplace 3D
orig: simple serial version
naive: simple parallelized version
auto: some ninja knowledge, using icc directives
sse/avx: ninja-optimized
Requires Sandy Bridge and up.
Note that the SSE/AVX versions do not handle boundary conditions
and thus each dimension must be 4n+2/8n+2. Try 258x258x258.
2014.08.06 anand.deshpande Initial code.
2014.08.06 dhiraj.kalamkar Padding and streaming stores.
*/
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <strings.h>
#include <math.h>
#include <unistd.h>
#include <immintrin.h>
#include <omp.h>
#include <partr.h>
#if defined(__i386__)
static inline uint64_t rdtsc(void)
{
uint64_t x;
__asm__ volatile (".byte 0x0f, 0x31" : "=A" (x));
return x;
}
#elif defined(__x86_64__)
static inline uint64_t rdtsc(void)
{
unsigned hi, lo;
__asm__ __volatile__ ("rdtsc" : "=a"(lo), "=d"(hi));
return ((uint64_t)lo) | (((uint64_t)hi) << 32);
}
#elif defined(_COMPILER_MICROSOFT_)
#include <intrin.h>
static inline uint64_t rdtsc(void)
{
return __rdtsc();
}
#endif
void l3d_naive(int nx, int padded_nx, int ny, int nz, float *u1, float *u2);
void l3d_auto(int nx, int padded_nx, int ny, int nz, float *u1, float *u2);
void l3d_sse(int nx, int padded_nx, int ny, int nz, float *u1, float *u2);
void l3d_avx(int nx, int padded_nx, int ny, int nz, float *u1, float *u2);
void l3d_partr(int nx, int padded_nx, int ny, int nz, float *u1, float *u2);
void l3d_orig(int nx, int ny, int nz, float *u1, float *u2);
double cpughz()
{
uint64_t t0 = rdtsc();
sleep(1);
uint64_t onesec = rdtsc() - t0;
return onesec*1.0/1e9;
}
int main(int argc, char **argv)
{
int nx, padded_nx, ny, nz, iters, i, j, k, ind, p_ind, verify,
nthreads, pad_size;
float *u1, *u1_p, *u1_orig, *u2, *u2_p, *u2_orig, *foo,
error_tol = 0.00001;
double ghz;
void (*l3d)(int nx, int padded_nx, int ny, int nz,
float *u1, float *u2);
if (argc != 7) {
fprintf(stderr, "Usage:\n"
" laplace3d <nx> <ny> <nz> <#iters> <naive|auto|sse|avx|partr> "
"<verify?>\n");
exit(-1);
}
nx = strtol(argv[1], NULL, 10);
ny = strtol(argv[2], NULL, 10);
nz = strtol(argv[3], NULL, 10);
padded_nx = ((nx + 0x7) & (~0x7));
iters = strtol(argv[4], NULL, 10);
if (strncasecmp(argv[5], "naive", 5) == 0)
l3d = l3d_naive;
else if (strncasecmp(argv[5], "auto", 4) == 0)
l3d = l3d_auto;
else if (strncasecmp(argv[5], "sse", 3) == 0)
l3d = l3d_sse;
else if (strncasecmp(argv[5], "avx", 3) == 0)
l3d = l3d_avx;
else if (strncasecmp(argv[5], "partr", 5) == 0)
l3d = l3d_partr;
else {
fprintf(stderr,
"don't recognize %s. naive, auto, sse, avx, or partr?\n",
argv[5]);
exit(-1);
}
verify = strtol(argv[6], NULL, 10);
ghz = cpughz();
nthreads = omp_get_max_threads();
printf("machine speed is %g GHz, using %d threads\n", ghz, nthreads);
printf("laplace3d: %d iterations on %dx%dx%d grid, "
"verification is %s\n",
iters, nx, ny, nz, verify ? "on" : "off");
/* pad for aligned access; non-naive only */
if (strncasecmp(argv[5], "naive", 5) != 0) {
pad_size = (((1 + padded_nx + padded_nx * ny) + 0xF) & (~0xF)) -
(1 + padded_nx + padded_nx * ny);
printf("using padded_nx = %d, pad_size = %d\n",
padded_nx, pad_size);
u1_p = (float *)_mm_malloc(sizeof (float) *
(padded_nx * ny * nz + pad_size), 64);
u2_p = (float *)_mm_malloc(sizeof (float) *
(padded_nx * ny * nz + pad_size), 64);
u1 = u1_p + pad_size;
u2 = u2_p + pad_size;
}
else {
u1_p = (float *)_mm_malloc(sizeof (float) * (nx * ny * nz), 64);
u2_p = (float *)_mm_malloc(sizeof (float) * (nx * ny * nz), 64);
u1 = u1_p;
u2 = u2_p;
padded_nx = nx;
}
u1_orig = (float *)_mm_malloc(sizeof (float) * nx * ny * nz, 64);
u2_orig = (float *)_mm_malloc(sizeof (float) * nx * ny * nz, 64);
// initialize
#pragma omp parallel for private(k,j,i,ind,p_ind)
for (k = 0; k < nz; ++k) {
for (j = 0; j < ny; ++j) {
for (i = 0; i < nx; ++i) {
ind = i + j*nx + k*nx*ny;
p_ind = i + j*padded_nx + k*padded_nx*ny;
if (i == 0 || i == nx - 1
|| j == 0 || j == ny - 1
|| k == 0 || k == nz - 1) {
// Dirichlet b.c.'s
u1[p_ind] = u1_orig[ind] = u2[p_ind] = 1.0f;
}
else {
u1[p_ind] = u1_orig[ind] = u2[p_ind] = 0.0f;
}
}
}
}
if (strncasecmp(argv[5], "partr", 5) == 0)
partr_init();
// run optimized version
uint64_t t0 = rdtsc();
for (i = 0; i < iters; ++i) {
l3d(nx, padded_nx, ny, nz, u1, u2);
foo = u1; u1 = u2; u2 = foo;
}
uint64_t gold = rdtsc() - t0;
double elapsed = gold / (ghz * 1e9);
double grid_size = nx * ny * nz;
double gflops = grid_size * iters * 6.0 / 1e9;
double gflops_sec = gflops / elapsed;
double traffic = grid_size * iters * 4 * 2.0 / 1e9;
double bw_realized = traffic / elapsed;
printf("laplace3d completed in %.4lf seconds\n", elapsed);
printf("GFLOPs/sec: %.1f\n", gflops_sec);
printf("BW realized: %.1f\n", bw_realized);
if (verify) {
// run serial version for verification
uint64_t st0 = rdtsc();
for (i = 0; i < iters; ++i) {
l3d_orig(nx, ny, nz, u1_orig, u2_orig);
foo = u1_orig; u1_orig = u2_orig; u2_orig = foo;
}
uint64_t ser = rdtsc() - st0;
elapsed = ser / (ghz * 1e9);
gflops_sec = gflops / elapsed;
bw_realized = traffic / elapsed;
printf("laplace3d_orig completed in %.2lf seconds\n", elapsed);
printf("GFLOPs/sec: %.1f\n", gflops_sec);
printf("BW realized: %.1f\n", bw_realized);
// verify
for (k = 0; k < nz; ++k) {
for (j = 0; j < ny; ++j) {
for (i = 0; i < nx; ++i) {
ind = i + j*nx + k*nx*ny;
p_ind = i + j*padded_nx + k*padded_nx*ny;
if (fabs(u1[p_ind] - u1_orig[ind]) > error_tol) {
printf("ERROR %f - %f [%d, %d, %d]\n",
u1[p_ind], u1_orig[ind], i, j, k);
goto done;
}
}
}
}
printf("verified, no error\n");
}
if (strncasecmp(argv[5], "partr", 5) == 0)
partr_shutdown();
done:
_mm_free(u1_p);
_mm_free(u2_p);
_mm_free(u1_orig);
_mm_free(u2_orig);
return 0;
}
void l3d_naive(int nx, int padded_nx, int ny, int nz, float *u1, float *u2)
{
int i, j, k, ind;
const float sixth = 1.0f/6.0f;
/* compute on the grid */
#pragma omp parallel for private(i,j,k,ind)
for (k = 1; k < nz-1; ++k) {
for (j = 1; j < ny-1; ++j) {
#pragma ivdep
for (i = 1; i < nx-1; ++i) {
ind = i + j*padded_nx + k*padded_nx*ny;
u2[ind] =
( u1[ind-1 ] + u1[ind+1 ]
+ u1[ind-padded_nx ] + u1[ind+padded_nx ]
+ u1[ind-padded_nx*ny] + u1[ind+padded_nx*ny] ) * sixth;
}
}
}
}
void l3d_auto(int nx, int padded_nx, int ny, int nz, float *u1, float *u2)
{
int i, j, k, ind;
float sixth = 1.0f/6.0f;
#if defined(__INTEL_COMPILER)
__assume(padded_nx%8==0);
__assume_aligned(&u1[1],32);
__assume_aligned(&u2[1],32);
#elif defined(__GNUC__)
if (!(padded_nx%8==0))
__builtin_unreachable();
// third argument is the misalignment
u1 = __builtin_assume_aligned(u1, 32, sizeof(float));
u2 = __builtin_assume_aligned(u2, 32, sizeof(float));
#endif
/* compute on the grid */
#pragma omp parallel for private(i,j,k,ind)
for (k = 1; k < nz-1; ++k) {
for (j = 1; j < ny-1; ++j) {
#pragma vector nontemporal(u2)
for (i = 1; i < nx-1; ++i) {
ind = i + j*padded_nx + k*padded_nx*ny;
u2[ind] =
( u1[ind-1 ] + u1[ind+1 ]
+ u1[ind-padded_nx ] + u1[ind+padded_nx ]
+ u1[ind-padded_nx*ny] + u1[ind+padded_nx*ny] ) * sixth;
}
}
}
}
void l3d_sse(int nx, int padded_nx, int ny, int nz, float *u1, float *u2)
{
int i, j, k, ind;
float fsixth = 1.0f/6.0f;
__m128 sixth = _mm_set_ps1(fsixth);
/* compute on the grid */
#pragma omp parallel for private(i,j,k,ind)
for (k = 1; k < nz-1; ++k) {
for (j = 1; j < ny-1; ++j) {
for (i = 1; i < nx-1; i += 4) {
ind = i + j*padded_nx + k*padded_nx*ny;
__m128 pSrc1 = _mm_loadu_ps(&u1[ind-1]);
__m128 pSrc2 = _mm_loadu_ps(&u1[ind+1]);
__m128 pSrc3 = _mm_load_ps(&u1[ind-padded_nx]);
__m128 pSrc4 = _mm_load_ps(&u1[ind+padded_nx]);
__m128 pSrc5 = _mm_load_ps(&u1[ind-padded_nx*ny]);
__m128 pSrc6 = _mm_load_ps(&u1[ind+padded_nx*ny]);
__m128 sum1 = _mm_add_ps(pSrc1, pSrc2);
__m128 sum2 = _mm_add_ps(pSrc3, pSrc4);
__m128 sum3 = _mm_add_ps(pSrc5, pSrc6);
__m128 sum4 = _mm_add_ps(sum1, sum2);
__m128 vsum = _mm_add_ps(sum3, sum4);
vsum = _mm_mul_ps(vsum, sixth);
_mm_stream_ps(&u2[ind], vsum);
}
}
}
}
void l3d_avx(int nx, int padded_nx, int ny, int nz, float *u1, float *u2)
{
int i, j, k, ind;
float fsixth = 1.0f/6.0f;
__m256 sixth = _mm256_set1_ps(fsixth);
/* compute on the grid */
#pragma omp parallel for private(i,j,k,ind)
for (k = 1; k < nz-1; ++k) {
for (j = 1; j < ny-1; ++j) {
for (i = 1; i < nx-1; i += 8) {
ind = i + j*padded_nx + k*padded_nx*ny;
__m256 pSrc1 = _mm256_loadu_ps(&u1[ind-1]);
__m256 pSrc2 = _mm256_loadu_ps(&u1[ind+1]);
__m256 pSrc3 = _mm256_load_ps(&u1[ind-padded_nx]);
__m256 pSrc4 = _mm256_load_ps(&u1[ind+padded_nx]);
__m256 pSrc5 = _mm256_load_ps(&u1[ind-padded_nx*ny]);
__m256 pSrc6 = _mm256_load_ps(&u1[ind+padded_nx*ny]);
__m256 sum1 = _mm256_add_ps(pSrc1, pSrc2);
__m256 sum2 = _mm256_add_ps(pSrc3, pSrc4);
__m256 sum3 = _mm256_add_ps(pSrc5, pSrc6);
__m256 sum4 = _mm256_add_ps(sum1, sum2);
__m256 vsum = _mm256_add_ps(sum3, sum4);
vsum = _mm256_mul_ps(vsum, sixth);
_mm256_stream_ps(&u2[ind], vsum);
}
}
}
}
typedef struct task_arg_tag {
int nx, padded_nx, ny, nz;
float *u1, *u2;
} task_arg_t;
void *l3d_partr_iter(void *arg, int64_t start, int64_t end)
{
int i, j, k, ind;
const float sixth = 1.0f/6.0f;
task_arg_t *ta = (task_arg_t *)arg;
int nx = ta->nx;
int ny = ta->ny;
int nz = ta->nz;
float *u1 = ta->u1;
float *u2 = ta->u2;
for (k = start; k < end; ++k) {
for (j = 0; j < ny; ++j) {
for (i = 0; i < nx; ++i) {
ind = i + j*nx + k*nx*ny;
if (i == 0 || i == nx - 1
|| j == 0 || j == ny - 1
|| k == 0 || k == nz - 1) {
u2[ind] = u1[ind]; // Dirichlet b.c.'s
}
else {
u2[ind] = ( u1[ind-1 ] + u1[ind+1 ]
+ u1[ind-nx ] + u1[ind+nx ]
+ u1[ind-nx*ny] + u1[ind+nx*ny] ) * sixth;
}
}
}
}
return NULL;
}
void *l3d_partr_run(void *arg, int64_t start, int64_t end)
{
partr_t t;
partr_parfor(&t, l3d_partr_iter, arg, end - start, NULL);
partr_sync(NULL, t, 1);
return NULL;
}
void l3d_partr(int nx, int padded_nx, int ny, int nz, float *u1, float *u2)
{
task_arg_t task_arg;
task_arg.nx = nx;
task_arg.padded_nx = padded_nx;
task_arg.ny = ny;
task_arg.nz = nz;
task_arg.u1 = u1;
task_arg.u2 = u2;
partr_start(NULL, l3d_partr_run, (void *)&task_arg, 0, nz);
}
void l3d_orig(int nx, int ny, int nz, float *u1, float *u2)
{
int i, j, k, ind;
const float sixth = 1.0f/6.0f;
for (k = 0; k < nz; ++k) {
for (j = 0; j < ny; ++j) {
for (i = 0; i < nx; ++i) {
ind = i + j*nx + k*nx*ny;
if (i == 0 || i == nx - 1
|| j == 0 || j == ny - 1
|| k == 0 || k == nz - 1) {
u2[ind] = u1[ind]; // Dirichlet b.c.'s
}
else {
u2[ind] = ( u1[ind-1 ] + u1[ind+1 ]
+ u1[ind-nx ] + u1[ind+nx ]
+ u1[ind-nx*ny] + u1[ind+nx*ny] ) * sixth;
}
}
}
}
}
|
rmsdcalc.c | // Copyright 2011 Stanford University
//
// MSMBuilder 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 2 of the License, or
// (at your option) any later version.
//
// This program 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 this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
//
#include "Python.h"
#include "numpy/arrayobject.h"
#include <stdint.h>
#include <stdio.h>
#include "theobald_rmsd.h"
#ifdef USE_OPENMP
#include <omp.h>
#endif
#define CHECKARRAYTYPE(ary,name) if (PyArray_TYPE(ary) != NPY_FLOAT32) {\
PyErr_SetString(PyExc_ValueError,name" was not of type float32");\
return NULL;\
}
#define CHECKARRAYCARRAY(ary,name) if ((PyArray_FLAGS(ary) & NPY_CARRAY) != NPY_CARRAY) {\
PyErr_SetString(PyExc_ValueError,name" was not a contiguous well-behaved array in C order");\
return NULL;\
}
static PyObject *_getMultipleRMSDs_axis_major(PyObject *self, PyObject *args) {
float *AData, *BData, *GAData, *distances, G_y;
int nrealatoms=-1, npaddedatoms=-1, rowstride=-1, truestride=-1;
npy_intp dim2[2], *arrayADims;
PyArrayObject *ary_coorda, *ary_coordb, *ary_Ga, *ary_distances;
if (!PyArg_ParseTuple(args, "iiiOOOf",&nrealatoms,&npaddedatoms,&rowstride,
&ary_coorda, &ary_coordb, &ary_Ga, &G_y)) {
return NULL;
}
// Get pointers to array data
AData = (float*) PyArray_DATA(ary_coorda);
BData = (float*) PyArray_DATA(ary_coordb);
GAData = (float*) PyArray_DATA(ary_Ga);
// TODO add sanity checking on Ga
// TODO add sanity checking on structure dimensions A vs B
arrayADims = PyArray_DIMS(ary_coorda);
// Do some sanity checking on array dimensions
// - make sure they are of float32 data type
CHECKARRAYTYPE(ary_coorda,"Array A");
CHECKARRAYTYPE(ary_coordb,"Array B");
if (ary_coorda->nd != 3) {
PyErr_SetString(PyExc_ValueError,"Array A did not have dimension 3");
return NULL;
}
if (ary_coordb->nd != 2) {
PyErr_SetString(PyExc_ValueError,"Array B did not have dimension 2");
return NULL;
}
// make sure stride is 4 in last dimension (ie, is C-style and contiguous)
CHECKARRAYCARRAY(ary_coorda,"Array A");
CHECKARRAYCARRAY(ary_coordb,"Array B");
// Create return array containing RMSDs
dim2[0] = arrayADims[0];
dim2[1] = 1;
ary_distances = (PyArrayObject*) PyArray_SimpleNew(1,dim2,NPY_FLOAT);
distances = (float*) PyArray_DATA(ary_distances);
truestride = npaddedatoms * 3;
#ifdef USE_OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < arrayADims[0]; i++) {
float msd = msd_axis_major(nrealatoms, npaddedatoms, rowstride,
(AData + i*truestride), BData, GAData[i], G_y);
distances[i] = sqrtf(msd);
}
return PyArray_Return(ary_distances);
}
static PyObject *_getMultipleRMSDs_atom_major(PyObject *self, PyObject *args) {
float *AData, *BData, *GAData, *distances, G_y;
int nrealatoms=-1, npaddedatoms=-1;
npy_intp dim2[2], *arrayADims;
PyArrayObject *ary_coorda, *ary_coordb, *ary_Ga, *ary_distances;
if (!PyArg_ParseTuple(args, "iiOOOf",&nrealatoms,&npaddedatoms,
&ary_coorda, &ary_coordb, &ary_Ga, &G_y)) {
return NULL;
}
// Get pointers to array data
AData = (float*) PyArray_DATA(ary_coorda);
BData = (float*) PyArray_DATA(ary_coordb);
GAData = (float*) PyArray_DATA(ary_Ga);
// TODO add sanity checking on Ga
// TODO add sanity checking on structure dimensions A vs B
arrayADims = PyArray_DIMS(ary_coorda);
// Do some sanity checking on array dimensions
// - make sure they are of float32 data type
CHECKARRAYTYPE(ary_coorda,"Array A");
CHECKARRAYTYPE(ary_coordb,"Array B");
if (ary_coorda->nd != 3) {
PyErr_SetString(PyExc_ValueError,"Array A did not have dimension 3");
return NULL;
}
if (ary_coordb->nd != 2) {
PyErr_SetString(PyExc_ValueError,"Array B did not have dimension 2");
return NULL;
}
// make sure stride is 4 in last dimension (ie, is C-style and contiguous)
CHECKARRAYCARRAY(ary_coorda,"Array A");
CHECKARRAYCARRAY(ary_coordb,"Array B");
// Create return array containing RMSDs
dim2[0] = arrayADims[0];
dim2[1] = 1;
ary_distances = (PyArrayObject*) PyArray_SimpleNew(1,dim2,NPY_FLOAT);
distances = (float*) PyArray_DATA(ary_distances);
#ifdef USE_OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < arrayADims[0]; i++) {
float msd = msd_atom_major(nrealatoms, npaddedatoms,
(AData + i*npaddedatoms*3), BData, GAData[i], G_y);
distances[i] = sqrtf(msd);
}
return PyArray_Return(ary_distances);
}
static PyMethodDef _rmsd_methods[] = {
{"getMultipleRMSDs_axis_major", (PyCFunction)_getMultipleRMSDs_axis_major, METH_VARARGS, "Theobald RMSD calculation on axis-major centered structures."},
{"getMultipleRMSDs_atom_major", (PyCFunction)_getMultipleRMSDs_atom_major, METH_VARARGS, "Theobald RMSD calculation on atom-major centered structures."},
{NULL, NULL, 0, NULL}
};
DL_EXPORT(void) initrmsdcalc(void)
{
Py_InitModule3("rmsdcalc", _rmsd_methods, "Core routines for IRMSD fast Theobald RMSD calculation.");
import_array();
}
|
fig4.12-two-for-loops.c | /*
DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS HEADER.
Copyright 2009 Sun Microsystems, Inc. All rights reserved.
The contents of this file are subject to the terms of the BSD License("BSD")(the "License").
You can obtain a copy of the License at: http://www.opensparc.net/pubs/t1/licenses/BSD+_License.txt
The BSD License
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistribution of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistribution in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Sun Microsystems, Inc. or the names of
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
This software is provided "AS IS," without a warranty of any kind. ALL
EXPRESS OR IMPLIED CONDITIONS, REPRESENTATIONS AND WARRANTIES, INCLUDING ANY
IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR
NON-INFRINGEMENT, ARE HEREBY EXCLUDED. SUN MICROSYSTEMS, INC. ("SUN") AND
ITS LICENSORS SHALL NOT BE LIABLE FOR ANY DAMAGES SUFFERED BY LICENSEE AS A
RESULT OF USING, MODIFYING OR DISTRIBUTING THIS SOFTWARE OR ITS DERIVATIVES.
IN NO EVENT WILL SUN OR ITS LICENSORS BE LIABLE FOR ANY LOST REVENUE, PROFIT
OR DATA, OR FOR DIRECT, INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL OR
PUNITIVE DAMAGES, HOWEVER CAUSED AND REGARDLESS OF THE THEORY OF LIABILITY,
ARISING OUT OF THE USE OF OR INABILITY TO USE THIS SOFTWARE, EVEN IF SUN HAS
BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
You acknowledge that this software is not designed, licensed or intended for
use in the design, construction, operation or maintenance of any nuclear facility.
*/
#include <stdio.h>
#include <stdlib.h>
#ifdef _OPENMP
#include <omp.h>
#define TRUE 1
#define FALSE 0
#else
#define omp_get_thread_num() 0
#define omp_get_num_threads() 1
#endif
int main()
{
int i, n = 9;
int a[n], b[n];
#ifdef _OPENMP
(void) omp_set_dynamic(FALSE);
if (omp_get_dynamic()) {printf("Warning: dynamic adjustment of threads has been set\n");}
(void) omp_set_num_threads(4);
#endif
#pragma omp parallel default(none) shared(n,a,b) private(i)
{
#pragma omp single
printf("First for-loop: number of threads is %d\n",
omp_get_num_threads());
#pragma omp for schedule(runtime)
for (i=0; i<n; i++)
{
printf("Thread %d executes loop iteration %d\n",
omp_get_thread_num(),i);
a[i] = i;
}
#pragma omp single
printf("Second for-loop: number of threads is %d\n",
omp_get_num_threads());
#pragma omp for schedule(runtime)
for (i=0; i<n; i++)
{
printf("Thread %d executes loop iteration %d\n",
omp_get_thread_num(),i);
b[i] = 2 * a[i];
}
} /*-- End of parallel region --*/
return(0);
}
|
Example_tasking.6.c | /*
* @@name: tasking.6c
* @@type: C
* @@compilable: yes
* @@linkable: no
* @@expect: success
* @@version: omp_3.0
*/
#define LARGE_NUMBER 10000000
double item[LARGE_NUMBER];
extern void process(double);
int main() {
#pragma omp parallel
{
#pragma omp single
{
int i;
#pragma omp task untied
// i is firstprivate, item is shared
{
for (i=0; i<LARGE_NUMBER; i++)
#pragma omp task
process(item[i]);
}
}
}
return 0;
}
|
nco_s1d.c | /* $Header$ */
/* Purpose: NCO utilities for Sparse-1D (S1D) datasets */
/* Copyright (C) 2020--present Charlie Zender
This file is part of NCO, the netCDF Operators. NCO is free software.
You may redistribute and/or modify NCO under the terms of the
3-Clause BSD License with exceptions described in the LICENSE file */
#include "nco_s1d.h" /* Sparse-1D datasets */
const char * /* O [sng] String describing sparse-type */
nco_s1d_sng /* [fnc] Convert sparse-1D type enum to string */
(const nco_s1d_typ_enm nco_s1d_typ) /* I [enm] Sparse-1D type enum */
{
/* Purpose: Convert sparse-type enum to string */
switch(nco_s1d_typ){
case nco_s1d_clm: return "Sparse Column (cols1d) format";
case nco_s1d_grd: return "Sparse Gridcell (grid1d) format";
case nco_s1d_lnd: return "Sparse Landunit (land1d) format";
case nco_s1d_pft: return "Sparse PFT (pfts1d) format" ;
default: nco_dfl_case_generic_err(); break;
} /* !nco_s1d_typ_enm */
/* Some compilers: e.g., SGI cc, need return statement to end non-void functions */
return (char *)NULL;
} /* !nco_s1d_sng() */
int /* O [rcd] Return code */
nco_s1d_unpack /* [fnc] Unpack sparse-1D CLM/ELM variables into full file */
(rgr_sct * const rgr, /* I/O [sct] Regridding structure */
trv_tbl_sct * const trv_tbl) /* I/O [sct] Traversal Table */
{
/* Purpose: Read sparse CLM/ELM input file, inflate and write into output file */
/* Usage:
ncks -D 1 -O -C --s1d ~/data/bm/elm_mali_bg_hst.nc ~/foo.nc
ncks -D 1 -O -C --s1d -v cols1d_topoglc --hrz=${DATA}/bm/elm_mali_ig_hst.nc ${DATA}/bm/elm_mali_rst.nc ~/foo.nc
ncks -D 1 -O -C --s1d -v GPP,pfts1d_wtgcell ~/beth_in.nc ~/foo.nc
ncremap --dbg=1 --vrb=3 --devnull=No --nco='--dbg=1' -P elm -m ${DATA}/maps/map_ne30np4_to_fv128x256_aave.20160301.nc ~/foo.nc ~/foo_rgr.nc */
const char fnc_nm[]="nco_s1d_unpack()"; /* [sng] Function name */
char *fl_in;
char *fl_out;
char *fl_tpl; /* [sng] Template file (contains horizontal grid) */
char dmn_nm[NC_MAX_NAME]; /* [sng] Dimension name */
char *grd_nm_in=(char *)strdup("gridcell");
char *lnd_nm_in=(char *)strdup("landunit");
char *clm_nm_in=(char *)strdup("column");
char *pft_nm_in=(char *)strdup("pft");
char *mec_nm_out=(char *)strdup("mec");
int dfl_lvl=NCO_DFL_LVL_UNDEFINED; /* [enm] Deflate level */
int fl_out_fmt=NCO_FORMAT_UNDEFINED; /* [enm] Output file format */
int fll_md_old; /* [enm] Old fill mode */
int in_id; /* I [id] Input netCDF file ID */
int md_open; /* [enm] Mode flag for nc_open() call */
int out_id; /* I [id] Output netCDF file ID */
int rcd=NC_NOERR;
int tpl_id; /* [id] Input netCDF file ID (for horizontal grid template) */
long int clm_idx;
long int grd_idx_out;
long int idx_out;
//long int lat_idx;
//long int lon_idx;
long int pft_idx;
int dmn_idx; /* [idx] Dimension index */
/* Initialize local copies of command-line values */
dfl_lvl=rgr->dfl_lvl;
fl_in=rgr->fl_in;
fl_out=rgr->fl_out;
in_id=rgr->in_id;
out_id=rgr->out_id;
/* Search for horizontal grid */
char *bnd_nm_in=rgr->bnd_nm; /* [sng] Name to recognize as input horizontal spatial dimension on unstructured grid */
char *col_nm_in=rgr->col_nm_in; /* [sng] Name to recognize as input horizontal spatial dimension on unstructured grid */
char *lat_nm_in=rgr->lat_nm_in; /* [sng] Name of input dimension to recognize as latitude */
char *lon_nm_in=rgr->lon_nm_in; /* [sng] Name of input dimension to recognize as longitude */
int dmn_id_bnd_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_col_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lat_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lon_in=NC_MIN_INT; /* [id] Dimension ID */
nco_bool FL_RTR_RMT_LCN;
nco_bool flg_grd_1D=False; /* [flg] Unpacked data are on unstructured (1D) grid */
nco_bool flg_grd_2D=False; /* [flg] Unpacked data are on rectangular (2D) grid */
nco_bool flg_grd_dat=False; /* [flg] Use horizontal grid from required input data file */
nco_bool flg_grd_tpl=False; /* [flg] Use horizontal grid from optional horizontal grid template file */
nco_bool flg_nm_hst=False; /* [flg] Names in data file are as in history files ("ltype_"...) */
nco_bool flg_nm_rst=False; /* [flg] Names in data file are as in restart files ("ilun_"...) */
/* Does data file have unstructured grid?
MB: Routine must handle two semantically distinct meanings of "column":
1. The horizontal dimension in an unstructured grid
2. A fraction of a landunit, which is a fraction of a CTSM/ELM gridcell
In particular, a column is a fraction of a vegetated, urban, glacier, or crop landunit
This routine distinguishes these meanings by abbreviating (1) as "col" and (2) as "clm"
This usage maintains the precedent that "col" is the horizontal unstructured dimension in nco_rgr.c
It is necessary though unintuitive that "cols1d" variable metadata will use the "clm" abbreviation */
if(col_nm_in && (rcd=nco_inq_dimid_flg(in_id,col_nm_in,&dmn_id_col_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(in_id,"lndgrid",&dmn_id_col_in)) == NC_NOERR) col_nm_in=strdup("lndgrid"); /* CLM */
if(dmn_id_col_in != NC_MIN_INT) flg_grd_1D=True;
/* Does data file have RLL grid? */
if(!flg_grd_1D){
if(lat_nm_in && (rcd=nco_inq_dimid_flg(in_id,lat_nm_in,&dmn_id_lat_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(in_id,"latitude",&dmn_id_lat_in)) == NC_NOERR) lat_nm_in=strdup("lndgrid"); /* CF */
if(lon_nm_in && (rcd=nco_inq_dimid_flg(in_id,lon_nm_in,&dmn_id_lon_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(in_id,"longitude",&dmn_id_lon_in)) == NC_NOERR) lon_nm_in=strdup("lndgrid"); /* CF */
} /* !flg_grd_1D */
if(dmn_id_lat_in != NC_MIN_INT && dmn_id_lon_in != NC_MIN_INT) flg_grd_2D=True;
/* Set where to obtain horizontal grid */
if(flg_grd_1D || flg_grd_2D) flg_grd_dat=True; else flg_grd_tpl=True;
if(flg_grd_tpl && !rgr->fl_hrz){
(void)fprintf(stderr,"%s: ERROR %s did not locate horizontal grid in input data file and no optional horizontal gridfile was provided.\nHINT: Use option --hrz to specify file with horizontal grid used by input data.\n",nco_prg_nm_get(),fnc_nm);
nco_exit(EXIT_FAILURE);
} /* !flg_grd_tpl */
/* Open grid template file iff necessary */
if(flg_grd_tpl && rgr->fl_hrz){
char *fl_pth_lcl=NULL;
nco_bool HPSS_TRY=False; /* [flg] Search HPSS for unfound files */
nco_bool RAM_OPEN=False; /* [flg] Open (netCDF3-only) file(s) in RAM */
nco_bool SHARE_OPEN=rgr->flg_uio; /* [flg] Open (netCDF3-only) file(s) with unbuffered I/O */
size_t bfr_sz_hnt=NC_SIZEHINT_DEFAULT; /* [B] Buffer size hint */
/* Duplicate (because nco_fl_mk_lcl() free()'s its fl_in) */
fl_tpl=(char *)strdup(rgr->fl_hrz);
/* Make sure file is on local system and is readable or die trying */
fl_tpl=nco_fl_mk_lcl(fl_tpl,fl_pth_lcl,HPSS_TRY,&FL_RTR_RMT_LCN);
/* Open file using appropriate buffer size hints and verbosity */
if(RAM_OPEN) md_open=NC_NOWRITE|NC_DISKLESS; else md_open=NC_NOWRITE;
if(SHARE_OPEN) md_open=md_open|NC_SHARE;
rcd+=nco_fl_open(fl_tpl,md_open,&bfr_sz_hnt,&tpl_id);
/* Same logic used to search for grid in data file and to search for grid in template file...
Does template file have unstructured grid? */
if(col_nm_in && (rcd=nco_inq_dimid_flg(tpl_id,col_nm_in,&dmn_id_col_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(tpl_id,"lndgrid",&dmn_id_col_in)) == NC_NOERR) col_nm_in=strdup("lndgrid"); /* CLM */
if(dmn_id_col_in != NC_MIN_INT) flg_grd_1D=True;
/* Does template file have RLL grid? */
if(!flg_grd_1D){
if(lat_nm_in && (rcd=nco_inq_dimid_flg(tpl_id,lat_nm_in,&dmn_id_lat_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(tpl_id,"latitude",&dmn_id_lat_in)) == NC_NOERR) lat_nm_in=strdup("lndgrid"); /* CF */
if(lon_nm_in && (rcd=nco_inq_dimid_flg(tpl_id,lon_nm_in,&dmn_id_lon_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(tpl_id,"longitude",&dmn_id_lon_in)) == NC_NOERR) lon_nm_in=strdup("lndgrid"); /* CF */
} /* !flg_grd_1D */
if(dmn_id_lat_in != NC_MIN_INT && dmn_id_lon_in != NC_MIN_INT) flg_grd_2D=True;
/* Set where to obtain horizontal grid */
if(!flg_grd_1D && !flg_grd_2D){
(void)fprintf(stderr,"%s: ERROR %s did not locate horizontal grid in input data file %s or in template file %s.\nHINT: One of those files must contain the grid dimensions and coordinates used by the packed data in the input data file.\n",nco_prg_nm_get(),fnc_nm,fl_in,fl_tpl);
nco_exit(EXIT_FAILURE);
} /* !flg_grd_1D */
} /* !flg_grd_tpl */
int cols1d_gridcell_index_id=NC_MIN_INT; /* [id] Gridcell index of column */
int cols1d_ixy_id=NC_MIN_INT; /* [id] Column 2D longitude index */
int cols1d_jxy_id=NC_MIN_INT; /* [id] Column 2D latitude index */
int cols1d_lat_id=NC_MIN_INT; /* [id] Column latitude */
int cols1d_lon_id=NC_MIN_INT; /* [id] Column longitude */
int cols1d_ityp_id=NC_MIN_INT; /* [id] Column type */
int cols1d_ityplun_id=NC_MIN_INT; /* [id] Column landunit type */
int grid1d_ixy_id=NC_MIN_INT; /* [id] Gridcell 2D longitude index */
int grid1d_jxy_id=NC_MIN_INT; /* [id] Gridcell 2D latitude index */
int grid1d_lat_id=NC_MIN_INT; /* [id] Gridcell latitude */
int grid1d_lon_id=NC_MIN_INT; /* [id] Gridcell longitude */
int land1d_gridcell_index_id=NC_MIN_INT; /* [id] Gridcell index of landunit */
int land1d_ixy_id=NC_MIN_INT; /* [id] Landunit 2D longitude index */
int land1d_jxy_id=NC_MIN_INT; /* [id] Landunit 2D latitude index */
int land1d_lat_id=NC_MIN_INT; /* [id] Landunit latitude */
int land1d_lon_id=NC_MIN_INT; /* [id] Landunit longitude */
int pfts1d_column_index_id=NC_MIN_INT; /* [id] Column index of PFT */
int pfts1d_gridcell_index_id=NC_MIN_INT; /* [id] Gridcell index of PFT */
int pfts1d_ityp_veg_id=NC_MIN_INT; /* [id] PFT vegetation type */
int pfts1d_ityplun_id=NC_MIN_INT; /* [id] PFT landunit type */
int pfts1d_ixy_id=NC_MIN_INT; /* [id] PFT 2D longitude index */
int pfts1d_jxy_id=NC_MIN_INT; /* [id] PFT 2D latitude index */
int pfts1d_lat_id=NC_MIN_INT; /* [id] PFT latitude */
int pfts1d_lon_id=NC_MIN_INT; /* [id] PFT longitude */
//int pfts1d_wtgcell_id=NC_MIN_INT; /* [id] PFT weight relative to corresponding gridcell */
int dmn_id_clm_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_grd_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lnd_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_pft_in=NC_MIN_INT; /* [id] Dimension ID */
nco_bool flg_s1d_clm=False; /* [flg] Dataset contains sparse variables for columns */
nco_bool flg_s1d_grd=False; /* [flg] Dataset contains sparse variables for gridcells */
nco_bool flg_s1d_lnd=False; /* [flg] Dataset contains sparse variables for landunits */
nco_bool flg_s1d_pft=False; /* [flg] Dataset contains sparse variables for PFTs */
rcd=nco_inq_att_flg(in_id,NC_GLOBAL,"ilun_vegetated_or_bare_soil",(nc_type *)NULL,(long *)NULL);
if(rcd == NC_NOERR) flg_nm_rst=True;
rcd=nco_inq_att_flg(in_id,NC_GLOBAL,"ltype_vegetated_or_bare_soil",(nc_type *)NULL,(long *)NULL);
if(rcd == NC_NOERR) flg_nm_hst=True;
assert(!(flg_nm_hst && flg_nm_rst));
if(!flg_nm_hst && !flg_nm_rst){
(void)fprintf(stderr,"%s: ERROR %s reports input data file lacks expected global attributes\n",nco_prg_nm_get(),fnc_nm);
nco_exit(EXIT_FAILURE);
} /* !flg_nm_hst */
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stderr,"%s: INFO %s will assume input attributes and variables use CLM/ELM %s naming conventions like %s\n",nco_prg_nm_get(),fnc_nm,flg_nm_hst ? "history file" : "restart file",flg_nm_hst ? "\"ltype_...\"" : "\"ilun_...\"");
rcd=nco_inq_varid_flg(in_id,"cols1d_lat",&cols1d_lat_id);
if(cols1d_lat_id != NC_MIN_INT) flg_s1d_clm=True;
if(flg_s1d_clm){
rcd=nco_inq_varid(in_id,"cols1d_ixy",&cols1d_ixy_id);
rcd=nco_inq_varid(in_id,"cols1d_jxy",&cols1d_jxy_id);
rcd=nco_inq_varid(in_id,"cols1d_lon",&cols1d_lon_id);
rcd=nco_inq_varid_flg(in_id,"cols1d_gridcell_index",&cols1d_gridcell_index_id); /* ELM/MALI restart */
rcd=nco_inq_varid_flg(in_id,"cols1d_ityp",&cols1d_ityp_id); /* ELM/MALI restart */
if(flg_nm_hst) rcd=nco_inq_varid(in_id,"cols1d_itype_lunit",&cols1d_ityplun_id); else rcd=nco_inq_varid(in_id,"cols1d_ityplun",&cols1d_ityplun_id);
} /* !flg_s1d_clm */
rcd=nco_inq_varid_flg(in_id,"grid1d_lat",&grid1d_lat_id);
if(grid1d_lat_id != NC_MIN_INT) flg_s1d_grd=True;
if(flg_s1d_grd){
rcd=nco_inq_varid(in_id,"grid1d_ixy",&grid1d_ixy_id);
rcd=nco_inq_varid(in_id,"grid1d_jxy",&grid1d_jxy_id);
rcd=nco_inq_varid(in_id,"grid1d_lon",&grid1d_lon_id);
} /* !flg_s1d_grd */
rcd=nco_inq_varid_flg(in_id,"land1d_lat",&land1d_lat_id);
if(land1d_lat_id != NC_MIN_INT) flg_s1d_lnd=True;
if(flg_s1d_lnd){
rcd=nco_inq_varid_flg(in_id,"land1d_gridcell_index",&land1d_gridcell_index_id);
rcd=nco_inq_varid(in_id,"land1d_ixy",&land1d_ixy_id);
rcd=nco_inq_varid(in_id,"land1d_jxy",&land1d_jxy_id);
rcd=nco_inq_varid(in_id,"land1d_lon",&land1d_lon_id);
} /* !flg_s1d_lnd */
rcd=nco_inq_varid_flg(in_id,"pfts1d_lat",&pfts1d_lat_id);
if(pfts1d_lat_id != NC_MIN_INT) flg_s1d_pft=True;
if(flg_s1d_pft){
rcd=nco_inq_varid(in_id,"pfts1d_ixy",&pfts1d_ixy_id);
rcd=nco_inq_varid(in_id,"pfts1d_jxy",&pfts1d_jxy_id);
rcd=nco_inq_varid(in_id,"pfts1d_lon",&pfts1d_lon_id);
rcd=nco_inq_varid_flg(in_id,"pfts1d_column_index",&pfts1d_column_index_id);
rcd=nco_inq_varid_flg(in_id,"pfts1d_gridcell_index",&pfts1d_gridcell_index_id);
//if(flg_nm_hst) rcd=nco_inq_varid(in_id,"pfts1d_wtgcell",&pfts1d_wtgcell_id); else rcd=nco_inq_varid(in_id,"pfts1d_wtxy",&pfts1d_wtgcell_id);
if(flg_nm_hst) rcd=nco_inq_varid(in_id,"pfts1d_itype_lunit",&pfts1d_ityplun_id); else rcd=nco_inq_varid(in_id,"pfts1d_ityplun",&pfts1d_ityplun_id);
if(flg_nm_hst) rcd=nco_inq_varid(in_id,"pfts1d_itype_veg",&pfts1d_ityp_veg_id); else rcd=nco_inq_varid(in_id,"pfts1d_itypveg",&pfts1d_ityp_veg_id);
} /* !flg_s1d_pft */
if(!(flg_s1d_clm || flg_s1d_lnd || flg_s1d_pft)){
(void)fprintf(stderr,"%s: ERROR %s does not detect any of the key variables (currently cols1d_lat, land1d_lat, pfts1d_lat) used to indicate presence of sparse-packed (S1D) variables\nHINT: Be sure the target dataset (file) contains S1D variables---not all CLM/ELM history (as opposed to restart) files do\n",nco_prg_nm_get(),fnc_nm);
nco_exit(EXIT_FAILURE);
} /* !flg_s1d_clm... */
if(flg_s1d_clm) rcd=nco_inq_dimid(in_id,clm_nm_in,&dmn_id_clm_in);
if(flg_s1d_grd) rcd=nco_inq_dimid(in_id,grd_nm_in,&dmn_id_grd_in);
if(flg_s1d_lnd) rcd=nco_inq_dimid(in_id,lnd_nm_in,&dmn_id_lnd_in);
if(flg_s1d_pft) rcd=nco_inq_dimid(in_id,pft_nm_in,&dmn_id_pft_in);
if(nco_dbg_lvl_get() >= nco_dbg_std){
(void)fprintf(stderr,"%s: INFO %s necessary information to unpack cols1d variables\n",nco_prg_nm_get(),flg_s1d_clm ? "Found all" : "Could not find");
(void)fprintf(stderr,"%s: INFO %s necessary information to unpack land1d variables\n",nco_prg_nm_get(),flg_s1d_lnd ? "Found all" : "Could not find");
(void)fprintf(stderr,"%s: INFO %s necessary information to unpack pfts1d variables\n",nco_prg_nm_get(),flg_s1d_pft ? "Found all" : "Could not find");
} /* !dbg */
/* Collect other information from data and template files */
int dmn_nbr_in; /* [nbr] Number of dimensions in input file */
int dmn_nbr_out; /* [nbr] Number of dimensions in output file */
int var_nbr; /* [nbr] Number of variables in file */
rcd=nco_inq(in_id,&dmn_nbr_in,&var_nbr,(int *)NULL,(int *)NULL);
const unsigned int trv_nbr=trv_tbl->nbr; /* [idx] Number of traversal table entries */
int var_cpy_nbr=0; /* [nbr] Number of copied variables */
int var_rgr_nbr=0; /* [nbr] Number of unpacked variables */
int var_xcl_nbr=0; /* [nbr] Number of deleted variables */
int var_crt_nbr=0; /* [nbr] Number of created variables */
//long idx; /* [idx] Generic index */
unsigned int idx_tbl; /* [idx] Counter for traversal table */
char *dmn_nm_cp; /* [sng] Dimension name as char * to reduce indirection */
nco_bool has_clm; /* [flg] Contains column dimension */
nco_bool has_grd; /* [flg] Contains gridcell dimension */
nco_bool has_lnd; /* [flg] Contains landunit dimension */
nco_bool has_pft; /* [flg] Contains PFT dimension */
nco_bool need_clm=False; /* [flg] At least one variable to unpack needs column dimension */
nco_bool need_grd=False; /* [flg] At least one variable to unpack needs gridcell dimension */
nco_bool need_lnd=False; /* [flg] At least one variable to unpack needs landunit dimension */
// nco_bool need_mec=False; /* [flg] At least one variable to unpack needs MEC dimension */
nco_bool need_pft=False; /* [flg] At least one variable to unpack needs PFT dimension */
trv_sct trv; /* [sct] Traversal table object structure to reduce indirection */
/* Define unpacking flag for each variable */
for(idx_tbl=0;idx_tbl<trv_nbr;idx_tbl++){
trv=trv_tbl->lst[idx_tbl];
if(trv.nco_typ == nco_obj_typ_var && trv.flg_xtr){
dmn_nbr_in=trv_tbl->lst[idx_tbl].nbr_dmn;
has_clm=has_grd=has_lnd=has_pft=False;
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
/* Pre-determine flags necessary during next loop */
dmn_nm_cp=trv.var_dmn[dmn_idx].dmn_nm;
if(!has_clm && clm_nm_in) has_clm=!strcmp(dmn_nm_cp,clm_nm_in);
if(!has_grd && grd_nm_in) has_grd=!strcmp(dmn_nm_cp,grd_nm_in);
if(!has_lnd && lnd_nm_in) has_lnd=!strcmp(dmn_nm_cp,lnd_nm_in);
if(!has_pft && pft_nm_in) has_pft=!strcmp(dmn_nm_cp,pft_nm_in);
} /* !dmn_idx */
/* Unpack variables that contain a sparse-1D dimension */
if(has_clm || has_grd || has_lnd || has_pft){
trv_tbl->lst[idx_tbl].flg_rgr=True;
var_rgr_nbr++;
if(has_clm) need_clm=True;
if(has_grd) need_grd=True;
if(has_lnd) need_lnd=True;
if(has_pft) need_pft=True;
} /* endif */
/* Copy all variables that are not regridded or omitted */
if(!trv_tbl->lst[idx_tbl].flg_rgr) var_cpy_nbr++;
} /* end nco_obj_typ_var */
} /* end idx_tbl */
if(!var_rgr_nbr) (void)fprintf(stdout,"%s: WARNING %s reports no variables fit unpacking criteria. The sparse data unpacker expects at least one variable to unpack, and variables not unpacked are copied straight to output. HINT: If the name(s) of the input sparse-1D dimensions (e.g., \"column\", \"landunit\", and \"pft\") do not match NCO's preset defaults (case-insensitive unambiguous forms and abbreviations of \"column\", \"landunit\", and/or \"pft\", respectively) then change the dimension names that NCO looks for. Instructions are at http://nco.sf.net/nco.html#sparse. For CTSM/ELM sparse-1D coordinate grids, the \"column\", \"landunit\", and \"pft\" variable names can be set with, e.g., \"ncks --rgr column_nm=clm#landunit_nm=lnd#pft_nm=pft\" or \"ncremap -R '--rgr clm=clm#lnd=lnd#pft=pft'\".\n",nco_prg_nm_get(),fnc_nm);
if(nco_dbg_lvl_get() >= nco_dbg_fl){
for(idx_tbl=0;idx_tbl<trv_nbr;idx_tbl++){
trv=trv_tbl->lst[idx_tbl];
if(trv.nco_typ == nco_obj_typ_var && trv.flg_xtr) (void)fprintf(stderr,"Unpack %s? %s\n",trv.nm,trv.flg_rgr ? "Yes" : "No");
} /* end idx_tbl */
} /* end dbg */
long clm_nbr_in=NC_MIN_INT; /* [nbr] Number of columns in input data */
long grd_nbr_in=NC_MIN_INT; /* [nbr] Number of gridcells in input data */
long lnd_nbr_in=NC_MIN_INT; /* [nbr] Number of landunits in input data */
long pft_nbr_in=NC_MIN_INT; /* [nbr] Number of PFTs in input data */
long clm_nbr_out=NC_MIN_INT; /* [nbr] Number of columns in output data */
long grd_nbr_out=NC_MIN_INT; /* [nbr] Number of gridcells in output data */
long lnd_nbr_out=NC_MIN_INT; /* [nbr] Number of landunits in output data */
long mec_nbr_out=NC_MIN_INT; /* [nbr] Number of MECs in output data */
long pft_nbr_out=NC_MIN_INT; /* [nbr] Number of PFTs in output data */
if(need_clm) rcd=nco_inq_dimlen(in_id,dmn_id_clm_in,&clm_nbr_in);
if(need_grd) rcd=nco_inq_dimlen(in_id,dmn_id_grd_in,&grd_nbr_in);
if(need_lnd) rcd=nco_inq_dimlen(in_id,dmn_id_lnd_in,&lnd_nbr_in);
if(need_pft) rcd=nco_inq_dimlen(in_id,dmn_id_pft_in,&pft_nbr_in);
int hrz_id; /* [id] Horizontal grid netCDF file ID */
long bnd_nbr=int_CEWI; /* [nbr] Number of boundaries for output time and rectangular grid coordinates, and number of vertices for output non-rectangular grid coordinates */
long col_nbr; /* [nbr] Number of columns */
long lon_nbr; /* [nbr] Number of longitudes */
long lat_nbr; /* [nbr] Number of latitudes */
size_t grd_sz_in; /* [nbr] Number of elements in single layer of input grid */
size_t grd_sz_out; /* [nbr] Number of elements in single layer of output grid */
if(flg_grd_dat) hrz_id=in_id; else hrz_id=tpl_id;
/* Locate bounds dimension, if any, in file containing horizontal grid */
if(bnd_nm_in && (rcd=nco_inq_dimid_flg(hrz_id,bnd_nm_in,&dmn_id_bnd_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(hrz_id,"nv",&dmn_id_bnd_in)) == NC_NOERR) bnd_nm_in=strdup("nv"); /* fxm */
else if((rcd=nco_inq_dimid_flg(hrz_id,"nvertices",&dmn_id_bnd_in)) == NC_NOERR) bnd_nm_in=strdup("nvertices"); /* CICE */
else if((rcd=nco_inq_dimid_flg(hrz_id,"maxEdges",&dmn_id_bnd_in)) == NC_NOERR) bnd_nm_in=strdup("maxEdges"); /* MPAS */
if(flg_grd_1D) rcd=nco_inq_dimlen(hrz_id,dmn_id_col_in,&col_nbr);
if(flg_grd_2D){
rcd=nco_inq_dimlen(hrz_id,dmn_id_lat_in,&lat_nbr);
rcd=nco_inq_dimlen(hrz_id,dmn_id_lon_in,&lon_nbr);
} /* !flg_grd_2D */
if(dmn_id_bnd_in != NC_MIN_INT) rcd=nco_inq_dimlen(hrz_id,dmn_id_bnd_in,&bnd_nbr);
if(grd_nbr_in != NC_MIN_INT){
grd_sz_in=grd_nbr_in;
}else{
grd_sz_in= flg_grd_1D ? col_nbr : lat_nbr*lon_nbr;
} /* !grd_nbr_in */
grd_sz_out= flg_grd_1D ? col_nbr : lat_nbr*lon_nbr;
/* Lay-out unpacked file */
char *bnd_nm_out=NULL;
char *col_nm_out=NULL;
char *lat_nm_out=NULL;
char *lon_nm_out=NULL;
char *lat_dmn_nm_out;
char *lon_dmn_nm_out;
int dmn_id_bnd_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_col_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lat_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lon_out=NC_MIN_INT; /* [id] Dimension ID */
if(rgr->bnd_nm) bnd_nm_out=rgr->bnd_nm; else bnd_nm_out=bnd_nm_in;
if(rgr->col_nm_out) col_nm_out=rgr->col_nm_out; else col_nm_out=col_nm_in;
if(rgr->lat_dmn_nm) lat_dmn_nm_out=rgr->lat_dmn_nm; else lat_dmn_nm_out=lat_nm_in;
if(rgr->lon_dmn_nm) lon_dmn_nm_out=rgr->lon_dmn_nm; else lon_dmn_nm_out=lon_nm_in;
if(rgr->lat_nm_out) lat_nm_out=rgr->lat_nm_out; else lat_nm_out=lat_nm_in;
if(rgr->lon_nm_out) lon_nm_out=rgr->lon_nm_out; else lon_nm_out=lon_nm_in;
/* Define horizontal dimensions before all else */
if(flg_grd_1D){
rcd=nco_def_dim(out_id,col_nm_out,col_nbr,&dmn_id_col_out);
} /* !flg_grd_1D */
if(flg_grd_2D){
rcd=nco_def_dim(out_id,lat_nm_out,lat_nbr,&dmn_id_lat_out);
rcd=nco_def_dim(out_id,lon_nm_out,lon_nbr,&dmn_id_lon_out);
} /* !flg_grd_2D */
if(dmn_id_bnd_in != NC_MIN_INT) rcd=nco_def_dim(out_id,bnd_nm_out,bnd_nbr,&dmn_id_bnd_out);
char *clm_nm_out=NULL;
char *grd_nm_out=NULL;
char *lnd_nm_out=NULL;
char *pft_nm_out=NULL;
if(need_clm) clm_nm_out=(char *)strdup(clm_nm_in);
if(need_grd) grd_nm_out=(char *)strdup(grd_nm_in);
if(need_lnd) lnd_nm_out=(char *)strdup(lnd_nm_in);
if(need_pft) pft_nm_out=(char *)strdup(pft_nm_in);
int dmn_id_clm_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lnd_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_mec_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_pft_out=NC_MIN_INT; /* [id] Dimension ID */
/* fxm: make an ilun enumerated type? */
int ilun_vegetated_or_bare_soil; /* 1 [enm] */
int ilun_crop; /* 2 [enm] */
int ilun_landice; /* 3 [enm] */
int ilun_landice_multiple_elevation_classes; /* 4 [enm] */
int ilun_deep_lake; /* 5 [enm] */
int ilun_wetland; /* 6 [enm] */
int ilun_urban_tbd; /* 7 [enm] */
int ilun_urban_hd; /* 8 [enm] */
int ilun_urban_md; /* 9 [enm] */
if(flg_nm_hst){
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_vegetated_or_bare_soil",&ilun_vegetated_or_bare_soil,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_crop",&ilun_crop,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_landice",&ilun_landice,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_landice_multiple_elevation_classes",&ilun_landice_multiple_elevation_classes,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_deep_lake",&ilun_deep_lake,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_wetland",&ilun_wetland,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_urban_tbd",&ilun_urban_tbd,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_urban_hd",&ilun_urban_hd,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_urban_md",&ilun_urban_md,NC_INT);
}else{ /* !flg_nm_hst */
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_vegetated_or_bare_soil",&ilun_vegetated_or_bare_soil,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_crop",&ilun_crop,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_landice",&ilun_landice,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_landice_multiple_elevation_classes",&ilun_landice_multiple_elevation_classes,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_deep_lake",&ilun_deep_lake,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_wetland",&ilun_wetland,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_urban_tbd",&ilun_urban_tbd,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_urban_hd",&ilun_urban_hd,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_urban_md",&ilun_urban_md,NC_INT);
} /* !flg_nm_hst */
/* Determine output Column dimension if needed */
int *cols1d_ityp=NULL; /* [id] Column type */
int *cols1d_ityplun=NULL; /* [id] Column landunit type */
if(need_clm){
if(cols1d_ityp_id != NC_MIN_INT) cols1d_ityp=(int *)nco_malloc(clm_nbr_in*sizeof(int));
cols1d_ityplun=(int *)nco_malloc(clm_nbr_in*sizeof(int));
if(cols1d_ityp_id != NC_MIN_INT) rcd=nco_get_var(in_id,cols1d_ityp_id,cols1d_ityp,NC_INT);
rcd=nco_get_var(in_id,cols1d_ityplun_id,cols1d_ityplun,NC_INT);
mec_nbr_out=0;
for(clm_idx=0;clm_idx<clm_nbr_in;clm_idx++){
if(cols1d_ityplun[clm_idx] != ilun_landice_multiple_elevation_classes) continue;
while(cols1d_ityplun[clm_idx++] == ilun_landice_multiple_elevation_classes) mec_nbr_out++;
break;
} /* !clm_idx */
/* NB: landice_MEC (ilun=4, usually) landunits have 10 (always, AFAICT) glacier elevation classes */
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: INFO mec_nbr_out = %ld\n",nco_prg_nm_get(),mec_nbr_out);
} /* !need_clm */
/* Determine output Grid dimension if needed:
CLM/ELM 'gridcell' dimension counts each gridcell that contains land
Replace this dimension by horizontal dimension(s) in input data file */
if(need_clm){
if(flg_grd_1D) grd_nbr_out=col_nbr;
if(flg_grd_2D) grd_nbr_out=lat_nbr*lon_nbr;
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: INFO grd_nbr_out = %ld\n",nco_prg_nm_get(),grd_nbr_out);
} /* !need_grd */
/* Determine output Landunit dimension if needed */
if(need_lnd){
lnd_nbr_out=3; /* fxm: Based on TBUILD variable for 3 urban landunit types */
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: INFO lnd_nbr_out = %ld\n",nco_prg_nm_get(),lnd_nbr_out);
} /* !need_lnd */
/* Determine output PFT dimension if needed */
//double *pfts1d_wtgcell=NULL; /* [id] PFT weight relative to corresponding gridcell */
int *pfts1d_ityp_veg=NULL; /* [id] PFT vegetation type */
int *pfts1d_ityplun=NULL; /* [id] PFT landunit type */
int *pfts1d_ixy=NULL; /* [id] PFT 2D longitude index */
int *pfts1d_jxy=NULL; /* [id] PFT 2D latitude index */
int pft_typ; /* [enm] PFT type */
if(need_pft){
//pfts1d_wtgcell=(double *)nco_malloc(pft_nbr_in*sizeof(double));
pfts1d_ityp_veg=(int *)nco_malloc(pft_nbr_in*sizeof(int));
pfts1d_ityplun=(int *)nco_malloc(pft_nbr_in*sizeof(int));
//rcd=nco_get_var(in_id,pfts1d_wtgcell_id,pfts1d_wtgcell,NC_DOUBLE);
rcd=nco_get_var(in_id,pfts1d_ityp_veg_id,pfts1d_ityp_veg,NC_INT);
rcd=nco_get_var(in_id,pfts1d_ityplun_id,pfts1d_ityplun,NC_INT);
pft_nbr_out=0;
for(pft_idx=0;pft_idx<pft_nbr_in;pft_idx++){
if((pfts1d_ityplun[pft_idx] != ilun_vegetated_or_bare_soil) && (pfts1d_ityplun[pft_idx] != ilun_crop)) continue;
/* Skip bare ground */
while(pfts1d_ityp_veg[++pft_idx] != 0) pft_nbr_out++;
break;
} /* !pft_idx */
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: INFO pft_nbr_out = %ld\n",nco_prg_nm_get(),pft_nbr_out);
pfts1d_ixy=(int *)nco_malloc(pft_nbr_in*sizeof(int));
rcd=nco_get_var(in_id,pfts1d_ixy_id,pfts1d_ixy,NC_INT);
if(flg_grd_2D){
pfts1d_jxy=(int *)nco_malloc(pft_nbr_in*sizeof(int));
rcd=nco_get_var(in_id,pfts1d_jxy_id,pfts1d_jxy,NC_INT);
} /* !flg_grd_2D */
} /* !need_pft */
/* Define unpacked versions of needed dimensions before all else */
//(void)fprintf(stdout,"%s: DEBUG quark1\n",nco_prg_nm_get());
if(need_clm && clm_nbr_out > 0L) rcd=nco_def_dim(out_id,clm_nm_out,clm_nbr_out,&dmn_id_clm_out);
if(need_lnd && lnd_nbr_out > 0L) rcd=nco_def_dim(out_id,lnd_nm_out,lnd_nbr_out,&dmn_id_lnd_out);
if(need_pft && pft_nbr_out > 0L) rcd=nco_def_dim(out_id,pft_nm_out,pft_nbr_out,&dmn_id_pft_out);
/* Assume MECs are new output dimension if they are enumerated in input */
if(mec_nbr_out > 0L) rcd=nco_def_dim(out_id,mec_nm_out,mec_nbr_out,&dmn_id_mec_out);
/* Pre-allocate dimension ID and cnt/srt space */
char *var_nm; /* [sng] Variable name */
int *dmn_ids_in=NULL; /* [id] Dimension IDs */
int *dmn_ids_out=NULL; /* [id] Dimension IDs */
int dmn_nbr_max; /* [nbr] Maximum number of dimensions variable can have in input or output */
int var_id_in; /* [id] Variable ID */
int var_id_out; /* [id] Variable ID */
long *dmn_cnt_in=NULL;
long *dmn_cnt_out=NULL;
long *dmn_srt=NULL;
nc_type var_typ; /* [enm] Variable type (same for input and output variable) */
nco_bool PCK_ATT_CPY=True; /* [flg] Copy attributes "scale_factor", "add_offset" */
int dmn_in_fst; /* [idx] Offset of input- relative to output-dimension due to non-MRV dimension insertion */
int dmn_nbr_rec; /* [nbr] Number of unlimited dimensions */
int *dmn_ids_rec=NULL; /* [id] Unlimited dimension IDs */
rcd+=nco_inq_ndims(in_id,&dmn_nbr_max);
dmn_ids_in=(int *)nco_malloc(dmn_nbr_max*sizeof(int));
dmn_ids_out=(int *)nco_malloc(dmn_nbr_max*sizeof(int));
if(dmn_srt) dmn_srt=(long *)nco_free(dmn_srt);
dmn_srt=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
if(dmn_cnt_in) dmn_cnt_in=(long *)nco_free(dmn_cnt_in);
if(dmn_cnt_out) dmn_cnt_out=(long *)nco_free(dmn_cnt_out);
dmn_cnt_in=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
dmn_cnt_out=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
/* Obtain record dimension information from data file (restart files have no time dimension) */
rcd+=nco_inq_unlimdims(in_id,&dmn_nbr_rec,(int *)NULL);
if(dmn_nbr_rec > 0){
dmn_ids_rec=(int *)nco_malloc(dmn_nbr_rec*sizeof(int));
rcd=nco_inq_unlimdims(in_id,&dmn_nbr_rec,dmn_ids_rec);
} /* !dmn_nbr_rec */
dfl_lvl=rgr->dfl_lvl;
fl_out_fmt=rgr->fl_out_fmt;
//const int dmn_nbr_0D=0; /* [nbr] Rank of 0-D grid variables (scalars) */
const int dmn_nbr_1D=1; /* [nbr] Rank of 1-D grid variables */
const int dmn_nbr_2D=2; /* [nbr] Rank of 2-D grid variables */
nc_type crd_typ_in;
nc_type crd_typ_out;
/* Required grid variables */
int lat_in_id; /* [id] Variable ID for latitude */
int lat_out_id; /* [id] Variable ID for latitude */
int lon_in_id; /* [id] Variable ID for longitude */
int lon_out_id; /* [id] Variable ID for longitude */
rcd=nco_inq_varid(hrz_id,lat_nm_in,&lat_in_id);
rcd=nco_inq_varid(hrz_id,lon_nm_in,&lon_in_id);
rcd=nco_inq_vartype(hrz_id,lat_in_id,&crd_typ_in);
/* NB: ELM/CLM history files default to NC_FLOAT for most grid variables
To convert to NC_DOUBLE on output, also convert _FillValue attribute type consistently */
crd_typ_out=crd_typ_in;
/* Optional grid variables */
char *area_nm;
char *sgs_frc_nm;
char *lat_bnd_nm;
char *lon_bnd_nm;
char *sgs_msk_nm;
int area_in_id=NC_MIN_INT; /* [id] Variable ID for area */
int area_out_id=NC_MIN_INT; /* [id] Variable ID for area */
int sgs_frc_in_id=NC_MIN_INT; /* [id] Variable ID for fraction */
int sgs_frc_out_id=NC_MIN_INT; /* [id] Variable ID for fraction */
int lat_bnd_in_id=NC_MIN_INT; /* [id] Variable ID for latitude bounds */
int lat_bnd_out_id=NC_MIN_INT; /* [id] Variable ID for latitude bounds */
int lon_bnd_in_id=NC_MIN_INT; /* [id] Variable ID for longitude bounds */
int lon_bnd_out_id=NC_MIN_INT; /* [id] Variable ID for longitude bounds */
int sgs_msk_in_id=NC_MIN_INT; /* [id] Variable ID for mask */
int sgs_msk_out_id=NC_MIN_INT; /* [id] Variable ID for mask */
nco_bool flg_area_out=False; /* [flg] Add area to output */
nco_bool flg_lat_bnd_out=False; /* [flg] Add latitude bounds to output */
nco_bool flg_lon_bnd_out=False; /* [flg] Add longitude bounds to output */
nco_bool flg_sgs_frc_out=False; /* [flg] Add fraction to output */
nco_bool flg_sgs_msk_out=False; /* [flg] Add mask to output */
area_nm=rgr->area_nm ? rgr->area_nm : strdup("area");
lat_bnd_nm=rgr->lat_bnd_nm ? rgr->lat_bnd_nm : strdup("lat_bnd");
lon_bnd_nm=rgr->lon_bnd_nm ? rgr->lon_bnd_nm : strdup("lon_bnd");
sgs_frc_nm=rgr->sgs_frc_nm ? rgr->sgs_frc_nm : strdup("landfrac");
sgs_msk_nm=rgr->sgs_msk_nm ? rgr->sgs_msk_nm : strdup("landmask");
if((rcd=nco_inq_varid_flg(hrz_id,area_nm,&area_in_id)) == NC_NOERR) flg_area_out=True;
if((rcd=nco_inq_varid_flg(hrz_id,lat_bnd_nm,&lat_bnd_in_id)) == NC_NOERR) flg_lat_bnd_out=True;
if((rcd=nco_inq_varid_flg(hrz_id,lon_bnd_nm,&lon_bnd_in_id)) == NC_NOERR) flg_lon_bnd_out=True;
if((rcd=nco_inq_varid_flg(hrz_id,sgs_frc_nm,&sgs_frc_in_id)) == NC_NOERR) flg_sgs_frc_out=True;
if((rcd=nco_inq_varid_flg(hrz_id,sgs_msk_nm,&sgs_msk_in_id)) == NC_NOERR) flg_sgs_msk_out=True;
if(flg_grd_1D){
rcd+=nco_def_var(out_id,lat_nm_out,crd_typ_out,dmn_nbr_1D,&dmn_id_col_out,&lat_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,lat_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lat_in_id,lat_out_id,PCK_ATT_CPY);
var_crt_nbr++;
rcd+=nco_def_var(out_id,lon_nm_out,crd_typ_out,dmn_nbr_1D,&dmn_id_col_out,&lon_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,lon_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lon_in_id,lon_out_id,PCK_ATT_CPY);
var_crt_nbr++;
if(flg_lat_bnd_out){
dmn_ids_out[0]=dmn_id_col_out;
dmn_ids_out[1]=dmn_id_bnd_out;
rcd+=nco_def_var(out_id,lat_bnd_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&lat_bnd_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,lat_bnd_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lat_bnd_in_id,lat_bnd_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_lat_bnd_out */
if(flg_lon_bnd_out){
dmn_ids_out[0]=dmn_id_col_out;
dmn_ids_out[1]=dmn_id_bnd_out;
rcd+=nco_def_var(out_id,lon_bnd_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&lon_bnd_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,lon_bnd_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lon_bnd_in_id,lon_bnd_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_lon_bnd_out */
if(flg_area_out){
rcd+=nco_def_var(out_id,area_nm,crd_typ_out,dmn_nbr_1D,&dmn_id_col_out,&area_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,area_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,area_in_id,area_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_area_out */
if(flg_sgs_frc_out){
rcd+=nco_def_var(out_id,sgs_frc_nm,crd_typ_out,dmn_nbr_1D,&dmn_id_col_out,&sgs_frc_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,sgs_frc_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,sgs_frc_in_id,sgs_frc_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_sgs_frc_out */
if(flg_sgs_msk_out){
rcd+=nco_def_var(out_id,sgs_msk_nm,(nc_type)NC_INT,dmn_nbr_1D,&dmn_id_col_out,&sgs_msk_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,sgs_msk_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,sgs_msk_in_id,sgs_msk_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_sgs_msk_out */
} /* !flg_grd_1D */
if(flg_grd_2D){
rcd+=nco_def_var(out_id,lat_nm_out,crd_typ_out,dmn_nbr_1D,&dmn_id_lat_out,&lat_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,lat_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lat_in_id,lat_out_id,PCK_ATT_CPY);
var_crt_nbr++;
rcd+=nco_def_var(out_id,lon_nm_out,crd_typ_out,dmn_nbr_1D,&dmn_id_lon_out,&lon_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,lon_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lon_in_id,lon_out_id,PCK_ATT_CPY);
var_crt_nbr++;
if(flg_lat_bnd_out){
dmn_ids_out[0]=dmn_id_lat_out;
dmn_ids_out[1]=dmn_id_bnd_out;
rcd+=nco_def_var(out_id,lat_bnd_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&lat_bnd_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,lat_bnd_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lat_bnd_in_id,lat_bnd_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_lat_bnd_out */
if(flg_lon_bnd_out){
dmn_ids_out[0]=dmn_id_lon_out;
dmn_ids_out[1]=dmn_id_bnd_out;
rcd+=nco_def_var(out_id,lon_bnd_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&lon_bnd_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,lon_bnd_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lon_bnd_in_id,lon_bnd_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_lon_bnd_out */
dmn_ids_out[0]=dmn_id_lat_out;
dmn_ids_out[1]=dmn_id_lon_out;
if(flg_area_out){
rcd+=nco_def_var(out_id,area_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&area_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,area_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,area_in_id,area_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_area_out */
if(flg_sgs_frc_out){
rcd+=nco_def_var(out_id,sgs_frc_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&sgs_frc_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,sgs_frc_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,sgs_frc_in_id,sgs_frc_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_sgs_frc_out */
if(flg_sgs_msk_out){
rcd+=nco_def_var(out_id,sgs_msk_nm,(nc_type)NC_INT,dmn_nbr_2D,dmn_ids_out,&sgs_msk_out_id);
if(dfl_lvl > 0) rcd+=nco_flt_def_out(out_id,sgs_msk_out_id,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,sgs_msk_in_id,sgs_msk_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_sgs_msk_out */
} /* !flg_grd_2D */
int flg_pck; /* [flg] Variable is packed on disk */
nco_bool has_mss_val; /* [flg] Has numeric missing value attribute */
nco_bool flg_add_spc_crd; /* [flg] Add spatial coordinates to S1D variable */
float mss_val_flt;
double mss_val_dbl;
nco_s1d_typ_enm nco_s1d_typ; /* [enm] Sparse-1D type of input variable */
aed_sct aed_mtd_fll_val;
/* Define unpacked S1D and copied variables in output file */
for(idx_tbl=0;idx_tbl<trv_nbr;idx_tbl++){
trv=trv_tbl->lst[idx_tbl];
if(trv.nco_typ == nco_obj_typ_var && trv.flg_xtr){
var_nm=trv.nm;
/* Preserve input type in output type */
var_typ=trv.var_typ;
dmn_nbr_in=trv.nbr_dmn;
dmn_nbr_out=trv.nbr_dmn;
rcd=nco_inq_varid(in_id,var_nm,&var_id_in);
rcd=nco_inq_varid_flg(out_id,var_nm,&var_id_out);
/* If variable has not been defined, define it */
if(rcd != NC_NOERR){
if(trv.flg_rgr){
/* Unpack */
rcd=nco_inq_vardimid(in_id,var_id_in,dmn_ids_in);
dmn_in_fst=0;
flg_add_spc_crd=False;
rcd=nco_inq_var_packing(in_id,var_id_in,&flg_pck);
if(flg_pck) (void)fprintf(stdout,"%s: WARNING %s reports S1D variable \"%s\" is packed so results unpredictable. HINT: If regridded values seems weird, retry after unpacking input file with, e.g., \"ncpdq -U in.nc out.nc\"\n",nco_prg_nm_get(),fnc_nm,var_nm);
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
rcd=nco_inq_dimname(in_id,dmn_ids_in[dmn_idx],dmn_nm);
if(clm_nm_in && !strcmp(dmn_nm,clm_nm_in)){
if(mec_nbr_out > 0L){
/* Change input column dimension to MEC if present */
dmn_ids_out[dmn_idx]=dmn_id_mec_out;
dmn_cnt_out[dmn_idx]=mec_nbr_out;
dmn_in_fst++;
dmn_nbr_out++;
} /* !mec_nbr_out */
flg_add_spc_crd=True;
}else if(!strcmp(dmn_nm,grd_nm_in)){
/* Gridcell dimension disappears to become spatial dimension in output */
flg_add_spc_crd=True;
}else if(!strcmp(dmn_nm,lnd_nm_in)){
/* Change landunit dimension */
dmn_ids_out[dmn_idx]=dmn_id_lnd_out;
dmn_cnt_out[dmn_idx]=lnd_nbr_out;
flg_add_spc_crd=True;
}else if(!strcmp(dmn_nm,pft_nm_in)){
if(pft_nbr_out > 0L){
/* Change input PFT dimension to PFT if present */
dmn_ids_out[dmn_idx]=dmn_id_pft_out;
dmn_cnt_out[dmn_idx]=pft_nbr_out;
dmn_in_fst++;
dmn_nbr_out++;
} /* !pft_nbr_out */
flg_add_spc_crd=True;
}else{
/* Dimensions [clm/lnd/pft]_nm_in were pre-defined above as [clm/lnd/pft]_nm_out, replicate all other dimensions */
rcd=nco_inq_dimid_flg(out_id,dmn_nm,dmn_ids_out+dmn_idx);
} /* !clm */
if(rcd != NC_NOERR){
/* Current input dimension is not yet in output file */
rcd=nco_inq_dimlen(in_id,dmn_ids_in[dmn_idx],dmn_cnt_out+dmn_idx);
/* Check-for and, if found, retain record dimension property */
for(int dmn_rec_idx=0;dmn_rec_idx < dmn_nbr_rec;dmn_rec_idx++)
if(dmn_ids_in[dmn_idx] == dmn_ids_rec[dmn_rec_idx])
dmn_cnt_out[dmn_idx]=NC_UNLIMITED;
rcd=nco_def_dim(out_id,dmn_nm,dmn_cnt_out[dmn_idx],dmn_ids_out+dmn_idx);
} /* !rcd */
if(flg_add_spc_crd){
/* Follow by spatial dimension(s) */
if(flg_grd_1D){
dmn_ids_out[dmn_idx+dmn_in_fst]=dmn_id_col_out;
dmn_cnt_out[dmn_idx+dmn_in_fst]=col_nbr;
} /* !flg_grd_1D */
if(flg_grd_2D){
dmn_ids_out[dmn_idx+dmn_in_fst]=dmn_id_lat_out;
dmn_cnt_out[dmn_idx+dmn_in_fst]=lat_nbr;
dmn_in_fst++;
dmn_nbr_out++;
dmn_ids_out[dmn_idx+dmn_in_fst]=dmn_id_lon_out;
dmn_cnt_out[dmn_idx+dmn_in_fst]=lon_nbr;
} /* !flg_grd_2D */
} /* !flg_add_spc_crd */
} /* !dmn_idx */
}else{ /* !flg_rgr */
/* Replicate non-S1D variables */
rcd=nco_inq_vardimid(in_id,var_id_in,dmn_ids_in);
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
rcd=nco_inq_dimname(in_id,dmn_ids_in[dmn_idx],dmn_nm);
rcd=nco_inq_dimid_flg(out_id,dmn_nm,dmn_ids_out+dmn_idx);
if(rcd != NC_NOERR){
rcd=nco_inq_dimlen(in_id,dmn_ids_in[dmn_idx],dmn_cnt_out+dmn_idx);
/* Check-for and, if found, retain record dimension property */
for(int dmn_rec_idx=0;dmn_rec_idx < dmn_nbr_rec;dmn_rec_idx++)
if(dmn_ids_in[dmn_idx] == dmn_ids_rec[dmn_rec_idx])
dmn_cnt_out[dmn_idx]=NC_UNLIMITED;
rcd=nco_def_dim(out_id,dmn_nm,dmn_cnt_out[dmn_idx],dmn_ids_out+dmn_idx);
} /* !rcd */
} /* !dmn_idx */
} /* !flg_rgr */
rcd=nco_def_var(out_id,var_nm,var_typ,dmn_nbr_out,dmn_ids_out,&var_id_out);
/* Duplicate netCDF4 settings when possible */
if(fl_out_fmt == NC_FORMAT_NETCDF4 || fl_out_fmt == NC_FORMAT_NETCDF4_CLASSIC)
if(dmn_nbr_out > 0)
rcd=nco_flt_def_wrp(in_id,var_id_in,(char *)NULL,out_id,var_id_out,dfl_lvl);
(void)nco_att_cpy(in_id,out_id,var_id_in,var_id_out,PCK_ATT_CPY);
/* Variables with subterranean levels and missing-value extrapolation must have _FillValue attribute */
nco_bool flg_add_msv_att; /* [flg] Extrapolation requires _FillValue */
flg_add_msv_att=False;
if(flg_add_msv_att && trv.flg_rgr){
has_mss_val=nco_mss_val_get_dbl(in_id,var_id_in,&mss_val_dbl);
if(!has_mss_val){
nco_bool flg_att_chg; /* [flg] _FillValue attribute was written */
aed_mtd_fll_val.var_nm=var_nm;
aed_mtd_fll_val.id=var_id_out;
aed_mtd_fll_val.type=var_typ;
if(var_typ == NC_FLOAT) aed_mtd_fll_val.val.fp=&mss_val_flt;
else if(var_typ == NC_DOUBLE) aed_mtd_fll_val.val.dp=&mss_val_dbl;
flg_att_chg=nco_aed_prc(out_id,var_id_out,aed_mtd_fll_val);
if(!flg_att_chg && nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: WARNING %s reports unsuccessful attempt to create _FillValue attribute for variable %s\n",nco_prg_nm_get(),fnc_nm,var_nm);
} /* !has_mss_val */
} /* !flg_add_msv_att */
} /* !rcd */
} /* !var */
} /* !idx_tbl */
/* Turn-off default filling behavior to enhance efficiency */
nco_set_fill(out_id,NC_NOFILL,&fll_md_old);
/* Begin data mode */
(void)nco_enddef(out_id);
/* Copy coordinate system before closing template file
NB: nco_cpy_var_val() cannot be used here when coordinates are in fl_tpl not fl_in */
(void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,lat_nm_in,(lmt_sct *)NULL,(int)0);
(void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,lon_nm_in,(lmt_sct *)NULL,(int)0);
if(flg_lat_bnd_out) (void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,lat_bnd_nm,(lmt_sct *)NULL,(int)0);
if(flg_lon_bnd_out) (void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,lon_bnd_nm,(lmt_sct *)NULL,(int)0);
if(flg_sgs_frc_out) (void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,sgs_frc_nm,(lmt_sct *)NULL,(int)0);
if(flg_sgs_msk_out) (void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,sgs_msk_nm,(lmt_sct *)NULL,(int)0);
if(flg_grd_tpl){
nco_bool RM_RMT_FL_PST_PRC=True; /* Option R */
/* No further access to template file, close it */
nco_close(tpl_id);
/* Remove local copy of file */
if(FL_RTR_RMT_LCN && RM_RMT_FL_PST_PRC) (void)nco_fl_rm(fl_tpl);
} /* !flg_grd_tpl */
/* Free pre-allocated array space */
if(dmn_ids_in) dmn_ids_in=(int *)nco_free(dmn_ids_in);
if(dmn_ids_out) dmn_ids_out=(int *)nco_free(dmn_ids_out);
if(dmn_ids_rec) dmn_ids_rec=(int *)nco_free(dmn_ids_rec);
if(dmn_srt) dmn_srt=(long *)nco_free(dmn_srt);
if(dmn_cnt_in) dmn_cnt_in=(long *)nco_free(dmn_cnt_in);
if(dmn_cnt_out) dmn_cnt_out=(long *)nco_free(dmn_cnt_out);
/* Unpack and copy data from input file */
//int dmn_idx_col=int_CEWI; /* [idx] Index of column dimension */
//int dmn_idx_lat=int_CEWI; /* [idx] Index of latitude dimension */
//int dmn_idx_lon=int_CEWI; /* [idx] Index of longitude dimension */
int thr_idx; /* [idx] Thread index */
//int var_id; /* [id] Current variable ID */
size_t var_sz_in; /* [nbr] Number of elements in variable (will be self-multiplied) */
size_t var_sz_out; /* [nbr] Number of elements in variable (will be self-multiplied) */
ptr_unn var_val_in;
ptr_unn var_val_out;
/* Using naked stdin/stdout/stderr in parallel region generates warning
Copy appropriate filehandle to variable scoped as shared in parallel clause */
FILE * const fp_stdout=stdout; /* [fl] stdout filehandle CEWI */
#ifdef __GNUG__
# pragma omp parallel for firstprivate(var_val_in,var_val_out) private(dmn_cnt_in,dmn_cnt_out,dmn_ids_in,dmn_ids_out,dmn_idx,dmn_nbr_in,dmn_nbr_out,dmn_nbr_max,dmn_nm,dmn_srt,has_clm,has_grd,has_lnd,has_pft,has_mss_val,idx_out,idx_tbl,in_id,mss_val_dbl,rcd,thr_idx,trv,var_id_in,var_id_out,var_nm,var_sz_in,var_sz_out,var_typ) shared(dmn_id_clm_in,dmn_id_clm_out,dmn_id_col_in,dmn_id_col_out,dmn_id_lat_in,dmn_id_lat_out,dmn_id_lnd_in,dmn_id_lnd_out,dmn_id_lon_in,dmn_id_lon_out,dmn_id_pft_in,dmn_id_pft_out,flg_s1d_clm,flg_s1d_pft,clm_nbr_in,clm_nbr_out,col_nbr,lat_nbr,lnd_nbr_in,lnd_nbr_out,lon_nbr,pft_nbr_in,pft_nbr_out,out_id,pfts1d_ixy,pfts1d_jxy)
#endif /* !__GNUG__ */
for(idx_tbl=0;idx_tbl<trv_nbr;idx_tbl++){
trv=trv_tbl->lst[idx_tbl];
thr_idx=omp_get_thread_num();
in_id=trv_tbl->in_id_arr[thr_idx];
#ifdef _OPENMP
if(nco_dbg_lvl_get() >= nco_dbg_grp && !thr_idx && !idx_tbl) (void)fprintf(fp_stdout,"%s: INFO %s reports regrid loop uses %d thread%s\n",nco_prg_nm_get(),fnc_nm,omp_get_num_threads(),(omp_get_num_threads() > 1) ? "s" : "");
if(nco_dbg_lvl_get() >= nco_dbg_var) (void)fprintf(fp_stdout,"%s: INFO thread = %d, idx_tbl = %d, nm = %s\n",nco_prg_nm_get(),thr_idx,idx_tbl,trv.nm);
#endif /* !_OPENMP */
if(trv.nco_typ == nco_obj_typ_var && trv.flg_xtr){
if(nco_dbg_lvl_get() >= nco_dbg_var) (void)fprintf(fp_stdout,"%s%s ",trv.flg_rgr ? "#" : "~",trv.nm);
if(trv.flg_rgr){
/* Unpack variable */
var_nm=trv.nm;
var_typ=trv.var_typ; /* NB: Output type in file is same as input type */
var_sz_in=1L;
var_sz_out=1L;
rcd=nco_inq_varid(in_id,var_nm,&var_id_in);
rcd=nco_inq_varid(out_id,var_nm,&var_id_out);
rcd=nco_inq_varndims(in_id,var_id_in,&dmn_nbr_in);
rcd=nco_inq_varndims(out_id,var_id_out,&dmn_nbr_out);
dmn_nbr_max= dmn_nbr_in > dmn_nbr_out ? dmn_nbr_in : dmn_nbr_out;
dmn_ids_in=(int *)nco_malloc(dmn_nbr_in*sizeof(int));
dmn_ids_out=(int *)nco_malloc(dmn_nbr_out*sizeof(int));
dmn_srt=(long *)nco_malloc(dmn_nbr_max*sizeof(long)); /* max() for both input and output grids */
dmn_cnt_in=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
dmn_cnt_out=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
rcd=nco_inq_vardimid(in_id,var_id_in,dmn_ids_in);
rcd=nco_inq_vardimid(out_id,var_id_out,dmn_ids_out);
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
rcd=nco_inq_dimlen(in_id,dmn_ids_in[dmn_idx],dmn_cnt_in+dmn_idx);
var_sz_in*=dmn_cnt_in[dmn_idx];
dmn_srt[dmn_idx]=0L;
} /* !dmn_idx */
for(dmn_idx=0;dmn_idx<dmn_nbr_out;dmn_idx++){
rcd=nco_inq_dimlen(out_id,dmn_ids_out[dmn_idx],dmn_cnt_out+dmn_idx);
if(dmn_cnt_out[dmn_idx] == 0L){
/* No records have been written, so overwrite zero output record size with input record size */
char dmn_rec_nm[NC_MAX_NAME]; /* [sng] Record dimension name */
int dmn_rec_id_in;
rcd=nco_inq_dimname(out_id,dmn_ids_out[dmn_idx],dmn_rec_nm);
rcd=nco_inq_dimid(in_id,dmn_rec_nm,&dmn_rec_id_in);
rcd=nco_inq_dimlen(in_id,dmn_rec_id_in,dmn_cnt_out+dmn_idx);
} /* !dmn_cnt_out */
var_sz_out*=dmn_cnt_out[dmn_idx];
dmn_srt[dmn_idx]=0L;
} /* !dmn_idx */
var_val_in.vp=(void *)nco_malloc_dbg(var_sz_in*nco_typ_lng(var_typ),fnc_nm,"Unable to malloc() input value buffer");
var_val_out.vp=(void *)nco_malloc_dbg(var_sz_out*nco_typ_lng(var_typ),fnc_nm,"Unable to malloc() output value buffer");
/* Initialize output */
(void)memset(var_val_out.vp,0,var_sz_out*nco_typ_lng(var_typ));
/* Obtain input variable */
rcd=nco_get_vara(in_id,var_id_in,dmn_srt,dmn_cnt_in,var_val_in.vp,var_typ);
has_clm=has_grd=has_lnd=has_pft=False;
nco_s1d_typ=nco_s1d_nil;
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
dmn_nm_cp=trv.var_dmn[dmn_idx].dmn_nm;
if(!has_clm && clm_nm_in) has_clm=!strcmp(dmn_nm_cp,clm_nm_in);
if(!has_grd && grd_nm_in) has_grd=!strcmp(dmn_nm_cp,grd_nm_in);
if(!has_lnd && lnd_nm_in) has_lnd=!strcmp(dmn_nm_cp,lnd_nm_in);
if(!has_pft && pft_nm_in) has_pft=!strcmp(dmn_nm_cp,pft_nm_in);
} /* !dmn_idx */
if(has_clm) nco_s1d_typ=nco_s1d_clm;
else if(has_grd) nco_s1d_typ=nco_s1d_grd;
else if(has_lnd) nco_s1d_typ=nco_s1d_lnd;
else if(has_pft) nco_s1d_typ=nco_s1d_pft;
else{
(void)fprintf(stderr,"%s: ERROR %s reports variable %s does not appear to be sparse\n",nco_prg_nm_get(),fnc_nm,var_nm);
nco_exit(EXIT_FAILURE);
} /* !strstr() */
if(nco_dbg_lvl_get() >= nco_dbg_std){
(void)fprintf(stderr,"%s: INFO %s reports variable %s is sparse type %s\n",nco_prg_nm_get(),fnc_nm,var_nm,nco_s1d_sng(nco_s1d_typ));
} /* !dbg */
/* The Hard Work */
if(nco_s1d_typ == nco_s1d_pft){
/* Turn GPP(time,pft) into GPP(time,pft,lndgrid) */
for(pft_idx=0;pft_idx<pft_nbr_in;pft_idx++){
pft_typ=pfts1d_ityp_veg[pft_idx]; /* [1 <= pft_typ <= pft_nbr_out] */
/* Skip bare ground, output array contains only vegetated types */
if(!pft_typ) continue;
/* grd_idx is the index relative to the origin of the horizontal grid for a given level
[0 <= grd_idx_out <= col_nbr_out-1L], [1 <= pfts1d_ixy <= col_nbr_out] */
grd_idx_out= flg_grd_1D ? pfts1d_ixy[pft_idx]-1L : (pfts1d_ixy[pft_idx]-1L)*lat_nbr+(pfts1d_jxy[pft_idx]-1L);
idx_out=(pft_typ-1)*grd_sz_out+grd_idx_out;
/* memcpy() would allow next statement to work for generic types
However, memcpy() is a system call and could be expensive in an innermost loop */
switch(var_typ){
case NC_FLOAT: var_val_out.fp[idx_out]=var_val_in.fp[pft_idx]; break;
case NC_DOUBLE: var_val_out.dp[idx_out]=var_val_in.dp[pft_idx]; break;
case NC_INT: var_val_out.ip[idx_out]=var_val_in.ip[pft_idx]; break;
default:
(void)fprintf(fp_stdout,"%s: ERROR %s reports unsupported type\n",nco_prg_nm_get(),fnc_nm);
nco_dfl_case_nc_type_err();
break;
} /* !var_typ */
} /* !idx */
} /* !nco_s1d_typ */
#pragma omp critical
{ /* begin OpenMP critical */
rcd=nco_put_vara(out_id,var_id_out,dmn_srt,dmn_cnt_out,var_val_out.vp,var_typ);
} /* end OpenMP critical */
if(dmn_ids_in) dmn_ids_in=(int *)nco_free(dmn_ids_in);
if(dmn_ids_out) dmn_ids_out=(int *)nco_free(dmn_ids_out);
if(dmn_srt) dmn_srt=(long *)nco_free(dmn_srt);
if(dmn_cnt_in) dmn_cnt_in=(long *)nco_free(dmn_cnt_in);
if(dmn_cnt_out) dmn_cnt_out=(long *)nco_free(dmn_cnt_out);
if(var_val_in.vp) var_val_in.vp=(void *)nco_free(var_val_in.vp);
if(var_val_out.vp) var_val_out.vp=(void *)nco_free(var_val_out.vp);
}else{ /* !trv.flg_rgr */
/* Use standard NCO copy routine for variables that are not regridded
20190511: Copy them only once */
#pragma omp critical
{ /* begin OpenMP critical */
(void)nco_cpy_var_val(in_id,out_id,(FILE *)NULL,(md5_sct *)NULL,trv.nm,trv_tbl);
} /* end OpenMP critical */
} /* !flg_rgr */
} /* !xtr */
} /* end (OpenMP parallel for) loop over idx_tbl */
if(nco_dbg_lvl_get() >= nco_dbg_var) (void)fprintf(stdout,"\n");
if(nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(stdout,"%s: INFO %s completion report: Variables interpolated = %d, copied unmodified = %d, omitted = %d, created = %d\n",nco_prg_nm_get(),fnc_nm,var_rgr_nbr,var_cpy_nbr,var_xcl_nbr,var_crt_nbr);
/* Free output data memory */
if(cols1d_ityp) cols1d_ityp=(int *)nco_free(cols1d_ityp);
if(cols1d_ityplun) cols1d_ityplun=(int *)nco_free(cols1d_ityplun);
if(pfts1d_ityp_veg) pfts1d_ityp_veg=(int *)nco_free(pfts1d_ityp_veg);
if(pfts1d_ityplun) pfts1d_ityplun=(int *)nco_free(pfts1d_ityplun);
if(pfts1d_ixy) pfts1d_ixy=(int *)nco_free(pfts1d_ixy);
if(pfts1d_jxy) pfts1d_jxy=(int *)nco_free(pfts1d_jxy);
//if(pfts1d_wtgcell) pfts1d_wtgcell=(double *)nco_free(pfts1d_wtgcell);
if(clm_nm_in) clm_nm_in=(char *)nco_free(clm_nm_in);
if(grd_nm_in) grd_nm_in=(char *)nco_free(grd_nm_in);
if(lnd_nm_in) lnd_nm_in=(char *)nco_free(lnd_nm_in);
if(pft_nm_in) pft_nm_in=(char *)nco_free(pft_nm_in);
if(clm_nm_out) clm_nm_out=(char *)nco_free(clm_nm_out);
if(grd_nm_out) grd_nm_out=(char *)nco_free(grd_nm_out);
if(lnd_nm_out) lnd_nm_out=(char *)nco_free(lnd_nm_out);
if(pft_nm_out) pft_nm_out=(char *)nco_free(pft_nm_out);
return rcd;
} /* !nco_s1d_unpack() */
|
GB_unop__identity_int64_uint8.c | //------------------------------------------------------------------------------
// GB_unop: 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_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__identity_int64_uint8
// op(A') function: GB_unop_tran__identity_int64_uint8
// C type: int64_t
// A type: uint8_t
// cast: int64_t cij = (int64_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint8_t
#define GB_CTYPE \
int64_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_CAST(z, aij) \
int64_t z = (int64_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint8_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int64_t z = (int64_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_INT64 || GxB_NO_UINT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__identity_int64_uint8
(
int64_t *Cx, // Cx and Ax may be aliased
const 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++)
{
uint8_t aij = Ax [p] ;
int64_t z = (int64_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_int64_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_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
cpu_tune.h | //
// Created by frank on 18-12-7.
//
#ifndef CPU_TUNE_H
#define CPU_TUNE_H
#ifdef __ANDROID__
#include <vector>
#include <thread>
#include <sys/syscall.h>
#include <unistd.h>
#include <stdint.h>
#include <android/log.h>
#define LOG_TAG "CPU_TUNE"
#define LOGE(...) __android_log_print(ANDROID_LOG_ERROR, LOG_TAG, __VA_ARGS__)
static int g_cpucount = std::thread::hardware_concurrency();
#ifdef USE_POWERSDK
#include "power.hh"
static bool qspower_init_flag = qspower_init();;
#endif // END USE_POWERSDK
#ifdef DEBUG_CPU_TUNE
static bool debug_print = true;
#else
static bool debug_print = false;
#endif
#endif // END ANDROID
enum cpuCores{
ALL = 0, // all cores activated
LITTLE = 1, // excuted on LITTLE cores only
BIG = 2 // excuted on BIG cores only
};
enum cpuMode{
NORMAL = 0,
SAVER = 1,
EFFICIENT = 2,
PERFORMANCE = 3,
};
#ifdef __ANDROID__
static int get_max_freq_khz(int cpuid)
{
// first try, for all possible cpu
char path[256];
sprintf(path, "/sys/devices/system/cpu/cpufreq/stats/cpu%d/time_in_state", cpuid);
FILE* fp = fopen(path, "rb");
if (!fp)
{
// second try, for online cpu
sprintf(path, "/sys/devices/system/cpu/cpu%d/cpufreq/stats/time_in_state", cpuid);
fp = fopen(path, "rb");
if (!fp)
{
// third try, for online cpu
sprintf(path, "/sys/devices/system/cpu/cpu%d/cpufreq/cpuinfo_max_freq", cpuid);
fp = fopen(path, "rb");
if (!fp)
return -1;
int max_freq_khz = -1;
fscanf(fp, "%d", &max_freq_khz);
fclose(fp);
return max_freq_khz;
}
}
int max_freq_khz = 0;
while (!feof(fp))
{
int freq_khz = 0;
int nscan = fscanf(fp, "%d %*d", &freq_khz);
if (nscan != 1)
break;
if (freq_khz > max_freq_khz)
max_freq_khz = freq_khz;
}
fclose(fp);
return max_freq_khz;
}
static int set_sched_affinity(const std::vector<int>& cpuids)
{
// cpu_set_t definition
// ref http://stackoverflow.com/questions/16319725/android-set-thread-affinity
#define CPU_SETSIZE 1024
#define __NCPUBITS (8 * sizeof (unsigned long))
typedef struct
{
unsigned long __bits[CPU_SETSIZE / __NCPUBITS];
} cpu_set_t;
#define CPU_SET(cpu, cpusetp) \
((cpusetp)->__bits[(cpu)/__NCPUBITS] |= (1UL << ((cpu) % __NCPUBITS)))
#define CPU_ZERO(cpusetp) \
memset((cpusetp), 0, sizeof(cpu_set_t))
// set affinity for thread
#ifdef __GLIBC__
pid_t pid = syscall(SYS_gettid);
#else
#ifdef PI3
pid_t pid = getpid();
#else
pid_t pid = gettid();
#endif
#endif
cpu_set_t mask;
CPU_ZERO(&mask);
for (int i=0; i<(int)cpuids.size(); i++)
{
CPU_SET(cpuids[i], &mask);
}
int syscallret = syscall(__NR_sched_setaffinity, pid, sizeof(mask), &mask);
if (syscallret)
{
if (debug_print)
LOGE("CPU syscall error %d", syscallret);
return -1;
}
return 0;
}
static int sort_cpuid_by_max_frequency(std::vector<int>& cpuids, int* little_cluster_offset)
{
const int cpu_count = cpuids.size();
*little_cluster_offset = 0;
if (cpu_count == 0)
return 0;
std::vector<int> cpu_max_freq_khz;
cpu_max_freq_khz.resize(cpu_count);
for (int i=0; i<cpu_count; i++)
{
int max_freq_khz = get_max_freq_khz(i);
// printf("%d max freq = %d khz\n", i, max_freq_khz);
cpuids[i] = i;
cpu_max_freq_khz[i] = max_freq_khz;
}
// sort cpuid as big core first
// simple bubble sort
for (int i=0; i<cpu_count; i++)
{
for (int j=i+1; j<cpu_count; j++)
{
if (cpu_max_freq_khz[i] < cpu_max_freq_khz[j])
{
// swap
int tmp = cpuids[i];
cpuids[i] = cpuids[j];
cpuids[j] = tmp;
tmp = cpu_max_freq_khz[i];
cpu_max_freq_khz[i] = cpu_max_freq_khz[j];
cpu_max_freq_khz[j] = tmp;
}
}
}
// SMP
int mid_max_freq_khz = (cpu_max_freq_khz.front() + cpu_max_freq_khz.back()) / 2;
if (mid_max_freq_khz == cpu_max_freq_khz.back())
return 0;
for (int i=0; i<cpu_count; i++)
{
if (cpu_max_freq_khz[i] < mid_max_freq_khz)
{
*little_cluster_offset = i;
break;
}
}
return 0;
}
int set_cpuCores(cpuCores cores){
static std::vector<int> sorted_cpuids;
static int little_cluster_offset = 0;
if (sorted_cpuids.empty()) {
// 0 ~ g_cpucount
sorted_cpuids.resize(g_cpucount);
for (int i = 0; i < g_cpucount; i++) {
sorted_cpuids[i] = i;
}
// descent sort by max frequency
sort_cpuid_by_max_frequency(sorted_cpuids, &little_cluster_offset);
}
if (little_cluster_offset == 0 && cores != ALL) {
cores = ALL;
if (debug_print)
LOGE("CPU cores not supported");
}
// prepare affinity cpuid
std::vector<int> cpuids;
switch (cores)
{
case BIG:
cpuids = std::vector<int>(sorted_cpuids.begin(), sorted_cpuids.begin() + little_cluster_offset);
break;
case LITTLE:
cpuids = std::vector<int>(sorted_cpuids.begin() + little_cluster_offset, sorted_cpuids.end());
break;
case ALL:
cpuids = sorted_cpuids;
break;
default:
return -1;
}
#ifdef _OPENMP
// set affinity for each thread
int num_threads = cpuids.size();
omp_set_num_threads(num_threads);
std::vector<int> ssarets(num_threads, 0);
#pragma omp parallel for
for (int i=0; i<num_threads; i++)
{
ssarets[i] = set_sched_affinity(cpuids);
}
for (int i=0; i<num_threads; i++)
{
if (ssarets[i] != 0)
{
return -1;
}
}
#else
int ssaret = set_sched_affinity(cpuids);
if (ssaret != 0)
{
return -1;
}
#endif
}
#ifdef USE_POWERSDK
void terminateQspower(){
if (qspower_init_flag)
{
qspower::request_mode(qspower::mode::normal, qspower::device_set{ qspower::device_type::cpu});
qspower::terminate();
}
}
int set_cpuMode(cpuMode mode){
if (! qspower_init_flag)
return -1;
switch (mode){
case PERFORMANCE:
qspower::request_mode(qspower::mode::perf_burst, qspower::device_set{ qspower::device_type::cpu});
break;
case SAVER:
qspower::request_mode(qspower::mode::saver, qspower::device_set{ qspower::device_type::cpu});
break;
case EFFICIENT:
qspower::request_mode(qspower::mode::efficient, qspower::device_set{ qspower::device_type::cpu});
break;
case NORMAL:
qspower::request_mode(qspower::mode::normal, qspower::device_set{ qspower::device_type::cpu});
break;
default:
return -1;
}
return 1;
}
#endif
#endif // __ANDROID__
int set_cpuStatus(cpuCores cores, cpuMode mode) {
#ifdef __ANDROID__
int ret = 0;
#ifdef USE_POWERSDK
ret = set_cpuCores(cores);
if (-1 == ret)
{
if (debug_print)
LOGE("CPU set cores fail");
return -1;
}
ret = set_cpuMode(mode);
if (-1 == ret)
{
if (debug_print)
LOGE("CPU set cores done, but set mode fail");
return -2;
}
#else
ret = set_cpuCores(cores);
if (-1 == ret)
{
if (debug_print)
LOGE("CPU set mode fail");
return -1;
}
#endif // END USE_POWERSDK
return 1;
#elif __IOS__
// thread affinity not supported on ios
return -1;
#else
// TODO
(void) cores; // Avoid unused parameter warning.
return -1;
#endif
}
#endif //CPU_TUNE_H
|
linAlgAXPBY.c | /*
The MIT License (MIT)
Copyright (c) 2017 Tim Warburton, Noel Chalmers, Jesse Chan, Ali Karakus
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.
*/
extern "C"
void FUNC(axpby)(const dlong & N, const dlong & xOffset, const dlong& yOffset, const dfloat & alpha, const dfloat * __restrict__ cpu_a,
const dfloat &beta, dfloat * __restrict__ cpu_b){
#ifdef __NEKRS__OMP__
#pragma omp parallel for
#endif
for(dlong i=0;i<N;++i){
const dfloat ai = cpu_a[i + xOffset];
const dfloat bi = cpu_b[i + yOffset];
cpu_b[i + yOffset] = alpha*ai + beta*bi;
}
}
extern "C"
void FUNC(axpbyMany)(const dlong & N, const dlong & Nfields, const dlong & offset, const dfloat & alpha, const dfloat * __restrict__ cpu_a,
const dfloat & beta, dfloat * __restrict__ cpu_b){
#ifdef __NEKRS__OMP__
#pragma omp parallel for collapse(2)
#endif
for(int fld=0;fld<Nfields;fld++) {
for(dlong i=0;i<N;++i){
const dlong id = i + fld*offset;
const dfloat ai = cpu_a[id];
const dfloat bi = cpu_b[id];
cpu_b[id] = alpha*ai + beta*bi;
}
}
}
|
genopheno.h | /**
* CMA-ES, Covariance Matrix Adaptation Evolution Strategy
* Copyright (c) 2014 Inria
* Author: Emmanuel Benazera <emmanuel.benazera@lri.fr>
*
* This file is part of libcmaes.
*
* libcmaes 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.
*
* libcmaes 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 libcmaes. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef GENOPHENO_H
#define GENOPHENO_H
#include "noboundstrategy.h"
#include "pwq_bound_strategy.h"
#include "scaling.h"
#include <vector>
namespace libcmaes
{
typedef std::function<void (const double*, double*, const int&)> TransFunc;
template <class TBoundStrategy=NoBoundStrategy,class TScalingStrategy=NoScalingStrategy>
class GenoPheno
{
friend class CMASolutions;
public:
GenoPheno()
:_id(true)
{}
GenoPheno(TransFunc &genof, TransFunc &phenof)
:_genof(genof),_phenof(phenof),_id(false)
{}
GenoPheno(const double *lbounds, const double *ubounds, const int &dim)
:_boundstrategy(lbounds,ubounds,dim),_id(true),_scalingstrategy(lbounds,ubounds,dim)
{
if (_scalingstrategy._id)
_boundstrategy = TBoundStrategy(lbounds,ubounds,dim);
else
{
std::vector<double> lb(dim,_scalingstrategy._intmin);
std::vector<double> ub(dim,_scalingstrategy._intmax);
_boundstrategy = TBoundStrategy(&lb.front(),&ub.front(),lbounds,ubounds,dim);
}
}
GenoPheno(TransFunc &genof, TransFunc &phenof,
const double *lbounds, const double *ubounds, const int &dim)
:_boundstrategy(lbounds,ubounds,dim),_genof(genof),_phenof(phenof),_id(false),_scalingstrategy(lbounds,ubounds,dim)
{
if (_scalingstrategy._id)
_boundstrategy = TBoundStrategy(lbounds,ubounds,dim);
else
{
std::vector<double> lb(dim,_scalingstrategy._intmin);
std::vector<double> ub(dim,_scalingstrategy._intmax);
_boundstrategy = TBoundStrategy(&lb.front(),&ub.front(),lbounds,ubounds,dim);
}
}
/**
* \brief this is a dummy constructor to accomodate an easy to use
* linear scaling with pwq bounds from a given scaling vector.
* Outside the library, the proper way to re-specialize for other
* custom scaling classes would be to inherit GenoPheno and
* specialize constructors within the new class.
* @param scaling vector for linear scaling of input parameters.
*/
GenoPheno(const dVec &scaling,
const dVec &shift,
const double *lbounds=nullptr,
const double *ubounds=nullptr)
:_id(true)
{
(void)scaling;
(void)shift;
(void)lbounds;
(void)ubounds;
}
~GenoPheno() {}
private:
dMat pheno_candidates(const dMat &candidates) const
{
if (!_id)
{
dMat ncandidates = dMat(candidates.rows(),candidates.cols());
#pragma omp parallel for if (candidates.cols() >= 100)
for (int i=0;i<candidates.cols();i++)
{
dVec ext = dVec(candidates.rows());
_phenof(candidates.col(i).data(),ext.data(),candidates.rows());
ncandidates.col(i) = ext;
}
return ncandidates;
}
return candidates;
}
dMat geno_candidates(const dMat &candidates) const
{
if (!_id)
{
dMat ncandidates = dMat(candidates.rows(),candidates.cols());
#pragma omp parallel for if (candidates.cols() >= 100)
for (int i=0;i<candidates.cols();i++)
{
dVec in = dVec(candidates.rows());
_genof(candidates.col(i).data(),in.data(),candidates.rows());
ncandidates.col(i) = in;
}
return ncandidates;
}
return candidates;
}
public:
dMat pheno(const dMat &candidates) const
{
// apply custom pheno function.
dMat ncandidates = pheno_candidates(candidates);
// apply bounds.
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_boundstrategy.to_f_representation(ncandidates.col(i),ycoli);
ncandidates.col(i) = ycoli;
}
// apply scaling.
if (!_scalingstrategy._id)
{
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_scalingstrategy.scale_to_f(ncandidates.col(i),ycoli);
ncandidates.col(i) = ycoli;
}
}
return ncandidates;
}
dMat geno(const dMat &candidates) const
{
// reverse scaling.
dMat ncandidates = candidates;
if (!_scalingstrategy._id)
{
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_scalingstrategy.scale_to_internal(ycoli,ncandidates.col(i));
ncandidates.col(i) = ycoli;
}
}
// reverse bounds.
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_boundstrategy.to_internal_representation(ycoli,ncandidates.col(i));
ncandidates.col(i) = ycoli;
}
// apply custom geno function.
ncandidates = geno_candidates(ncandidates);
return ncandidates;
}
dVec pheno(const dVec &candidate) const
{
// apply custom pheno function.
dVec ncandidate;
if (!_id)
{
ncandidate = dVec(candidate.rows());
_phenof(candidate.data(),ncandidate.data(),candidate.rows());
}
// apply bounds.
dVec phen = dVec::Zero(candidate.rows());
if (_id)
_boundstrategy.to_f_representation(candidate,phen);
else _boundstrategy.to_f_representation(ncandidate,phen);
// apply scaling.
if (!_scalingstrategy._id)
{
dVec sphen = dVec::Zero(phen.rows());
_scalingstrategy.scale_to_f(phen,sphen);
phen = sphen;
}
return phen;
}
dVec geno(const dVec &candidate) const
{
dVec ccandidate = candidate;
dVec gen = dVec::Zero(candidate.rows());
// reverse scaling.
if (!_scalingstrategy._id)
{
_scalingstrategy.scale_to_internal(gen,candidate);
ccandidate = gen;
}
// reverse bounds.
_boundstrategy.to_internal_representation(gen,ccandidate);
// apply custom geno function.
if (!_id)
{
dVec ncandidate(gen.rows());
_genof(gen.data(),ncandidate.data(),gen.rows());
return ncandidate;
}
else return gen;
}
TBoundStrategy get_boundstrategy() const { return _boundstrategy; }
TBoundStrategy& get_boundstrategy_ref() { return _boundstrategy; }
TScalingStrategy get_scalingstrategy() const { return _scalingstrategy; }
void remove_dimensions(const std::vector<int> &k)
{
if (!_scalingstrategy.is_id())
_scalingstrategy.remove_dimensions(k);
if (!_boundstrategy.is_id())
_boundstrategy.remove_dimensions(k);
}
private:
TBoundStrategy _boundstrategy;
TransFunc _genof;
TransFunc _phenof;
bool _id = false; /**< geno/pheno transform is identity. */
TScalingStrategy _scalingstrategy;
};
// specialization when no bound strategy nor scaling applies.
template<> inline dMat GenoPheno<NoBoundStrategy,NoScalingStrategy>::pheno(const dMat &candidates) const
{
if (_id)
return candidates;
else return pheno_candidates(candidates);
}
template<> inline dVec GenoPheno<NoBoundStrategy,NoScalingStrategy>::pheno(const dVec &candidate) const
{
if (_id)
return candidate;
else
{
dVec ncandidate(candidate.rows());
_phenof(candidate.data(),ncandidate.data(),candidate.rows());
return ncandidate;
}
}
template<> inline dVec GenoPheno<NoBoundStrategy,NoScalingStrategy>::geno(const dVec &candidate) const
{
if (_id)
return candidate;
else
{
dVec ncandidate(candidate.rows());
_genof(candidate.data(),ncandidate.data(),candidate.rows());
return ncandidate;
}
}
template<> inline dVec GenoPheno<NoBoundStrategy,linScalingStrategy>::pheno(const dVec &candidate) const
{
dVec ncandidate(candidate.rows());
if (!_id)
_phenof(candidate.data(),ncandidate.data(),candidate.rows());
dVec sphen;
if (!_id)
_scalingstrategy.scale_to_f(ncandidate,sphen);
else _scalingstrategy.scale_to_f(candidate,sphen);
return sphen;
}
template<> inline dVec GenoPheno<NoBoundStrategy,linScalingStrategy>::geno(const dVec &candidate) const
{
dVec scand = dVec::Zero(candidate.rows());
_scalingstrategy.scale_to_internal(scand,candidate);
if (_id)
return scand;
else
{
dVec ncandidate(candidate.rows());
_genof(scand.data(),scand.data(),candidate.rows());
return ncandidate;
}
}
template<> inline dMat GenoPheno<NoBoundStrategy,linScalingStrategy>::pheno(const dMat &candidates) const
{
dMat ncandidates;
if (!_id)
ncandidates = pheno_candidates(candidates);
else ncandidates = candidates;
// apply scaling.
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_scalingstrategy.scale_to_f(ncandidates.col(i),ycoli);
ncandidates.col(i) = ycoli;
}
return ncandidates;
}
template<> inline GenoPheno<NoBoundStrategy,linScalingStrategy>::GenoPheno(const dVec &scaling,
const dVec &shift,
const double *lbounds,
const double *ubounds)
:_id(true)
{
(void)lbounds;
(void)ubounds;
_scalingstrategy = linScalingStrategy(scaling,shift);
}
template<> inline GenoPheno<pwqBoundStrategy,linScalingStrategy>::GenoPheno(const dVec &scaling,
const dVec &shift,
const double *lbounds,
const double *ubounds)
:_id(true)
{
_scalingstrategy = linScalingStrategy(scaling,shift);
if (lbounds == nullptr || ubounds == nullptr)
return;
dVec vlbounds = Eigen::Map<dVec>(const_cast<double*>(lbounds),scaling.size());
dVec vubounds = Eigen::Map<dVec>(const_cast<double*>(ubounds),scaling.size());
dVec nlbounds, nubounds;
_scalingstrategy.scale_to_internal(nlbounds,vlbounds);
_scalingstrategy.scale_to_internal(nubounds,vubounds);
_boundstrategy = pwqBoundStrategy(nlbounds.data(),nubounds.data(),scaling.size());
}
}
#endif
|
schur_eliminator_impl.h | // Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
// http://code.google.com/p/ceres-solver/
//
// 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 following disclaimer.
// * Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// * Neither the name of Google Inc. 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 THE COPYRIGHT OWNER 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.
//
// Author: sameeragarwal@google.com (Sameer Agarwal)
//
// TODO(sameeragarwal): row_block_counter can perhaps be replaced by
// Chunk::start ?
#ifndef CERES_INTERNAL_SCHUR_ELIMINATOR_IMPL_H_
#define CERES_INTERNAL_SCHUR_ELIMINATOR_IMPL_H_
// Eigen has an internal threshold switching between different matrix
// multiplication algorithms. In particular for matrices larger than
// EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD it uses a cache friendly
// matrix matrix product algorithm that has a higher setup cost. For
// matrix sizes close to this threshold, especially when the matrices
// are thin and long, the default choice may not be optimal. This is
// the case for us, as the default choice causes a 30% performance
// regression when we moved from Eigen2 to Eigen3.
#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 10
#ifdef CERES_USE_OPENMP
#include <omp.h>
#endif
#include <algorithm>
#include <map>
#include "ceres/block_random_access_matrix.h"
#include "ceres/block_sparse_matrix.h"
#include "ceres/block_structure.h"
#include "ceres/internal/eigen.h"
#include "ceres/internal/fixed_array.h"
#include "ceres/internal/scoped_ptr.h"
#include "ceres/map_util.h"
#include "ceres/schur_eliminator.h"
#include "ceres/small_blas.h"
#include "ceres/stl_util.h"
#include "Eigen/Dense"
#include "glog/logging.h"
namespace ceres {
namespace internal {
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::~SchurEliminator() {
STLDeleteElements(&rhs_locks_);
}
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
void
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::
Init(int num_eliminate_blocks, const CompressedRowBlockStructure* bs) {
CHECK_GT(num_eliminate_blocks, 0)
<< "SchurComplementSolver cannot be initialized with "
<< "num_eliminate_blocks = 0.";
num_eliminate_blocks_ = num_eliminate_blocks;
const int num_col_blocks = bs->cols.size();
const int num_row_blocks = bs->rows.size();
buffer_size_ = 1;
chunks_.clear();
lhs_row_layout_.clear();
int lhs_num_rows = 0;
// Add a map object for each block in the reduced linear system
// and build the row/column block structure of the reduced linear
// system.
lhs_row_layout_.resize(num_col_blocks - num_eliminate_blocks_);
for (int i = num_eliminate_blocks_; i < num_col_blocks; ++i) {
lhs_row_layout_[i - num_eliminate_blocks_] = lhs_num_rows;
lhs_num_rows += bs->cols[i].size;
}
int r = 0;
// Iterate over the row blocks of A, and detect the chunks. The
// matrix should already have been ordered so that all rows
// containing the same y block are vertically contiguous. Along
// the way also compute the amount of space each chunk will need
// to perform the elimination.
while (r < num_row_blocks) {
const int chunk_block_id = bs->rows[r].cells.front().block_id;
if (chunk_block_id >= num_eliminate_blocks_) {
break;
}
chunks_.push_back(Chunk());
Chunk& chunk = chunks_.back();
chunk.size = 0;
chunk.start = r;
int buffer_size = 0;
const int e_block_size = bs->cols[chunk_block_id].size;
// Add to the chunk until the first block in the row is
// different than the one in the first row for the chunk.
while (r + chunk.size < num_row_blocks) {
const CompressedRow& row = bs->rows[r + chunk.size];
if (row.cells.front().block_id != chunk_block_id) {
break;
}
// Iterate over the blocks in the row, ignoring the first
// block since it is the one to be eliminated.
for (int c = 1; c < row.cells.size(); ++c) {
const Cell& cell = row.cells[c];
if (InsertIfNotPresent(
&(chunk.buffer_layout), cell.block_id, buffer_size)) {
buffer_size += e_block_size * bs->cols[cell.block_id].size;
}
}
buffer_size_ = max(buffer_size, buffer_size_);
++chunk.size;
}
CHECK_GT(chunk.size, 0);
r += chunk.size;
}
const Chunk& chunk = chunks_.back();
uneliminated_row_begins_ = chunk.start + chunk.size;
if (num_threads_ > 1) {
random_shuffle(chunks_.begin(), chunks_.end());
}
buffer_.reset(new double[buffer_size_ * num_threads_]);
// chunk_outer_product_buffer_ only needs to store e_block_size *
// f_block_size, which is always less than buffer_size_, so we just
// allocate buffer_size_ per thread.
chunk_outer_product_buffer_.reset(new double[buffer_size_ * num_threads_]);
STLDeleteElements(&rhs_locks_);
rhs_locks_.resize(num_col_blocks - num_eliminate_blocks_);
for (int i = 0; i < num_col_blocks - num_eliminate_blocks_; ++i) {
rhs_locks_[i] = new Mutex;
}
}
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
void
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::
Eliminate(const BlockSparseMatrix* A,
const double* b,
const double* D,
BlockRandomAccessMatrix* lhs,
double* rhs) {
if (lhs->num_rows() > 0) {
lhs->SetZero();
VectorRef(rhs, lhs->num_rows()).setZero();
}
const CompressedRowBlockStructure* bs = A->block_structure();
const int num_col_blocks = bs->cols.size();
// Add the diagonal to the schur complement.
if (D != NULL) {
#pragma omp parallel for num_threads(num_threads_) schedule(dynamic)
for (int i = num_eliminate_blocks_; i < num_col_blocks; ++i) {
const int block_id = i - num_eliminate_blocks_;
int r, c, row_stride, col_stride;
CellInfo* cell_info = lhs->GetCell(block_id, block_id,
&r, &c,
&row_stride, &col_stride);
if (cell_info != NULL) {
const int block_size = bs->cols[i].size;
typename EigenTypes<kFBlockSize>::ConstVectorRef
diag(D + bs->cols[i].position, block_size);
CeresMutexLock l(&cell_info->m);
MatrixRef m(cell_info->values, row_stride, col_stride);
m.block(r, c, block_size, block_size).diagonal()
+= diag.array().square().matrix();
}
}
}
// Eliminate y blocks one chunk at a time. For each chunk,x3
// compute the entries of the normal equations and the gradient
// vector block corresponding to the y block and then apply
// Gaussian elimination to them. The matrix ete stores the normal
// matrix corresponding to the block being eliminated and array
// buffer_ contains the non-zero blocks in the row corresponding
// to this y block in the normal equations. This computation is
// done in ChunkDiagonalBlockAndGradient. UpdateRhs then applies
// gaussian elimination to the rhs of the normal equations,
// updating the rhs of the reduced linear system by modifying rhs
// blocks for all the z blocks that share a row block/residual
// term with the y block. EliminateRowOuterProduct does the
// corresponding operation for the lhs of the reduced linear
// system.
#pragma omp parallel for num_threads(num_threads_) schedule(dynamic)
for (int i = 0; i < chunks_.size(); ++i) {
#ifdef CERES_USE_OPENMP
int thread_id = omp_get_thread_num();
#else
int thread_id = 0;
#endif
double* buffer = buffer_.get() + thread_id * buffer_size_;
const Chunk& chunk = chunks_[i];
const int e_block_id = bs->rows[chunk.start].cells.front().block_id;
const int e_block_size = bs->cols[e_block_id].size;
VectorRef(buffer, buffer_size_).setZero();
typename EigenTypes<kEBlockSize, kEBlockSize>::Matrix
ete(e_block_size, e_block_size);
if (D != NULL) {
const typename EigenTypes<kEBlockSize>::ConstVectorRef
diag(D + bs->cols[e_block_id].position, e_block_size);
ete = diag.array().square().matrix().asDiagonal();
} else {
ete.setZero();
}
FixedArray<double, 8> g(e_block_size);
typename EigenTypes<kEBlockSize>::VectorRef gref(g.get(), e_block_size);
gref.setZero();
// We are going to be computing
//
// S += F'F - F'E(E'E)^{-1}E'F
//
// for each Chunk. The computation is broken down into a number of
// function calls as below.
// Compute the outer product of the e_blocks with themselves (ete
// = E'E). Compute the product of the e_blocks with the
// corresonding f_blocks (buffer = E'F), the gradient of the terms
// in this chunk (g) and add the outer product of the f_blocks to
// Schur complement (S += F'F).
ChunkDiagonalBlockAndGradient(
chunk, A, b, chunk.start, &ete, g.get(), buffer, lhs);
// Normally one wouldn't compute the inverse explicitly, but
// e_block_size will typically be a small number like 3, in
// which case its much faster to compute the inverse once and
// use it to multiply other matrices/vectors instead of doing a
// Solve call over and over again.
typename EigenTypes<kEBlockSize, kEBlockSize>::Matrix inverse_ete =
ete
.template selfadjointView<Eigen::Upper>()
.llt()
.solve(Matrix::Identity(e_block_size, e_block_size));
// For the current chunk compute and update the rhs of the reduced
// linear system.
//
// rhs = F'b - F'E(E'E)^(-1) E'b
FixedArray<double, 8> inverse_ete_g(e_block_size);
MatrixVectorMultiply<kEBlockSize, kEBlockSize, 0>(
inverse_ete.data(),
e_block_size,
e_block_size,
g.get(),
inverse_ete_g.get());
UpdateRhs(chunk, A, b, chunk.start, inverse_ete_g.get(), rhs);
// S -= F'E(E'E)^{-1}E'F
ChunkOuterProduct(bs, inverse_ete, buffer, chunk.buffer_layout, lhs);
}
// For rows with no e_blocks, the schur complement update reduces to
// S += F'F.
NoEBlockRowsUpdate(A, b, uneliminated_row_begins_, lhs, rhs);
}
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
void
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::
BackSubstitute(const BlockSparseMatrix* A,
const double* b,
const double* D,
const double* z,
double* y) {
const CompressedRowBlockStructure* bs = A->block_structure();
#pragma omp parallel for num_threads(num_threads_) schedule(dynamic)
for (int i = 0; i < chunks_.size(); ++i) {
const Chunk& chunk = chunks_[i];
const int e_block_id = bs->rows[chunk.start].cells.front().block_id;
const int e_block_size = bs->cols[e_block_id].size;
double* y_ptr = y + bs->cols[e_block_id].position;
typename EigenTypes<kEBlockSize>::VectorRef y_block(y_ptr, e_block_size);
typename EigenTypes<kEBlockSize, kEBlockSize>::Matrix
ete(e_block_size, e_block_size);
if (D != NULL) {
const typename EigenTypes<kEBlockSize>::ConstVectorRef
diag(D + bs->cols[e_block_id].position, e_block_size);
ete = diag.array().square().matrix().asDiagonal();
} else {
ete.setZero();
}
const double* values = A->values();
for (int j = 0; j < chunk.size; ++j) {
const CompressedRow& row = bs->rows[chunk.start + j];
const Cell& e_cell = row.cells.front();
DCHECK_EQ(e_block_id, e_cell.block_id);
FixedArray<double, 8> sj(row.block.size);
typename EigenTypes<kRowBlockSize>::VectorRef(sj.get(), row.block.size) =
typename EigenTypes<kRowBlockSize>::ConstVectorRef
(b + bs->rows[chunk.start + j].block.position, row.block.size);
for (int c = 1; c < row.cells.size(); ++c) {
const int f_block_id = row.cells[c].block_id;
const int f_block_size = bs->cols[f_block_id].size;
const int r_block = f_block_id - num_eliminate_blocks_;
MatrixVectorMultiply<kRowBlockSize, kFBlockSize, -1>(
values + row.cells[c].position, row.block.size, f_block_size,
z + lhs_row_layout_[r_block],
sj.get());
}
MatrixTransposeVectorMultiply<kRowBlockSize, kEBlockSize, 1>(
values + e_cell.position, row.block.size, e_block_size,
sj.get(),
y_ptr);
MatrixTransposeMatrixMultiply
<kRowBlockSize, kEBlockSize, kRowBlockSize, kEBlockSize, 1>(
values + e_cell.position, row.block.size, e_block_size,
values + e_cell.position, row.block.size, e_block_size,
ete.data(), 0, 0, e_block_size, e_block_size);
}
ete.llt().solveInPlace(y_block);
}
}
// Update the rhs of the reduced linear system. Compute
//
// F'b - F'E(E'E)^(-1) E'b
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
void
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::
UpdateRhs(const Chunk& chunk,
const BlockSparseMatrix* A,
const double* b,
int row_block_counter,
const double* inverse_ete_g,
double* rhs) {
const CompressedRowBlockStructure* bs = A->block_structure();
const int e_block_id = bs->rows[chunk.start].cells.front().block_id;
const int e_block_size = bs->cols[e_block_id].size;
int b_pos = bs->rows[row_block_counter].block.position;
const double* values = A->values();
for (int j = 0; j < chunk.size; ++j) {
const CompressedRow& row = bs->rows[row_block_counter + j];
const Cell& e_cell = row.cells.front();
typename EigenTypes<kRowBlockSize>::Vector sj =
typename EigenTypes<kRowBlockSize>::ConstVectorRef
(b + b_pos, row.block.size);
MatrixVectorMultiply<kRowBlockSize, kEBlockSize, -1>(
values + e_cell.position, row.block.size, e_block_size,
inverse_ete_g, sj.data());
for (int c = 1; c < row.cells.size(); ++c) {
const int block_id = row.cells[c].block_id;
const int block_size = bs->cols[block_id].size;
const int block = block_id - num_eliminate_blocks_;
CeresMutexLock l(rhs_locks_[block]);
MatrixTransposeVectorMultiply<kRowBlockSize, kFBlockSize, 1>(
values + row.cells[c].position,
row.block.size, block_size,
sj.data(), rhs + lhs_row_layout_[block]);
}
b_pos += row.block.size;
}
}
// Given a Chunk - set of rows with the same e_block, e.g. in the
// following Chunk with two rows.
//
// E F
// [ y11 0 0 0 | z11 0 0 0 z51]
// [ y12 0 0 0 | z12 z22 0 0 0]
//
// this function computes twp matrices. The diagonal block matrix
//
// ete = y11 * y11' + y12 * y12'
//
// and the off diagonal blocks in the Guass Newton Hessian.
//
// buffer = [y11'(z11 + z12), y12' * z22, y11' * z51]
//
// which are zero compressed versions of the block sparse matrices E'E
// and E'F.
//
// and the gradient of the e_block, E'b.
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
void
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::
ChunkDiagonalBlockAndGradient(
const Chunk& chunk,
const BlockSparseMatrix* A,
const double* b,
int row_block_counter,
typename EigenTypes<kEBlockSize, kEBlockSize>::Matrix* ete,
double* g,
double* buffer,
BlockRandomAccessMatrix* lhs) {
const CompressedRowBlockStructure* bs = A->block_structure();
int b_pos = bs->rows[row_block_counter].block.position;
const int e_block_size = ete->rows();
// Iterate over the rows in this chunk, for each row, compute the
// contribution of its F blocks to the Schur complement, the
// contribution of its E block to the matrix EE' (ete), and the
// corresponding block in the gradient vector.
const double* values = A->values();
for (int j = 0; j < chunk.size; ++j) {
const CompressedRow& row = bs->rows[row_block_counter + j];
if (row.cells.size() > 1) {
EBlockRowOuterProduct(A, row_block_counter + j, lhs);
}
// Extract the e_block, ETE += E_i' E_i
const Cell& e_cell = row.cells.front();
MatrixTransposeMatrixMultiply
<kRowBlockSize, kEBlockSize, kRowBlockSize, kEBlockSize, 1>(
values + e_cell.position, row.block.size, e_block_size,
values + e_cell.position, row.block.size, e_block_size,
ete->data(), 0, 0, e_block_size, e_block_size);
// g += E_i' b_i
MatrixTransposeVectorMultiply<kRowBlockSize, kEBlockSize, 1>(
values + e_cell.position, row.block.size, e_block_size,
b + b_pos,
g);
// buffer = E'F. This computation is done by iterating over the
// f_blocks for each row in the chunk.
for (int c = 1; c < row.cells.size(); ++c) {
const int f_block_id = row.cells[c].block_id;
const int f_block_size = bs->cols[f_block_id].size;
double* buffer_ptr =
buffer + FindOrDie(chunk.buffer_layout, f_block_id);
MatrixTransposeMatrixMultiply
<kRowBlockSize, kEBlockSize, kRowBlockSize, kFBlockSize, 1>(
values + e_cell.position, row.block.size, e_block_size,
values + row.cells[c].position, row.block.size, f_block_size,
buffer_ptr, 0, 0, e_block_size, f_block_size);
}
b_pos += row.block.size;
}
}
// Compute the outer product F'E(E'E)^{-1}E'F and subtract it from the
// Schur complement matrix, i.e
//
// S -= F'E(E'E)^{-1}E'F.
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
void
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::
ChunkOuterProduct(const CompressedRowBlockStructure* bs,
const Matrix& inverse_ete,
const double* buffer,
const BufferLayoutType& buffer_layout,
BlockRandomAccessMatrix* lhs) {
// This is the most computationally expensive part of this
// code. Profiling experiments reveal that the bottleneck is not the
// computation of the right-hand matrix product, but memory
// references to the left hand side.
const int e_block_size = inverse_ete.rows();
BufferLayoutType::const_iterator it1 = buffer_layout.begin();
#ifdef CERES_USE_OPENMP
int thread_id = omp_get_thread_num();
#else
int thread_id = 0;
#endif
double* b1_transpose_inverse_ete =
chunk_outer_product_buffer_.get() + thread_id * buffer_size_;
// S(i,j) -= bi' * ete^{-1} b_j
for (; it1 != buffer_layout.end(); ++it1) {
const int block1 = it1->first - num_eliminate_blocks_;
const int block1_size = bs->cols[it1->first].size;
MatrixTransposeMatrixMultiply
<kEBlockSize, kFBlockSize, kEBlockSize, kEBlockSize, 0>(
buffer + it1->second, e_block_size, block1_size,
inverse_ete.data(), e_block_size, e_block_size,
b1_transpose_inverse_ete, 0, 0, block1_size, e_block_size);
BufferLayoutType::const_iterator it2 = it1;
for (; it2 != buffer_layout.end(); ++it2) {
const int block2 = it2->first - num_eliminate_blocks_;
int r, c, row_stride, col_stride;
CellInfo* cell_info = lhs->GetCell(block1, block2,
&r, &c,
&row_stride, &col_stride);
if (cell_info != NULL) {
const int block2_size = bs->cols[it2->first].size;
CeresMutexLock l(&cell_info->m);
MatrixMatrixMultiply
<kFBlockSize, kEBlockSize, kEBlockSize, kFBlockSize, -1>(
b1_transpose_inverse_ete, block1_size, e_block_size,
buffer + it2->second, e_block_size, block2_size,
cell_info->values, r, c, row_stride, col_stride);
}
}
}
}
// For rows with no e_blocks, the schur complement update reduces to S
// += F'F. This function iterates over the rows of A with no e_block,
// and calls NoEBlockRowOuterProduct on each row.
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
void
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::
NoEBlockRowsUpdate(const BlockSparseMatrix* A,
const double* b,
int row_block_counter,
BlockRandomAccessMatrix* lhs,
double* rhs) {
const CompressedRowBlockStructure* bs = A->block_structure();
const double* values = A->values();
for (; row_block_counter < bs->rows.size(); ++row_block_counter) {
const CompressedRow& row = bs->rows[row_block_counter];
for (int c = 0; c < row.cells.size(); ++c) {
const int block_id = row.cells[c].block_id;
const int block_size = bs->cols[block_id].size;
const int block = block_id - num_eliminate_blocks_;
MatrixTransposeVectorMultiply<Eigen::Dynamic, Eigen::Dynamic, 1>(
values + row.cells[c].position, row.block.size, block_size,
b + row.block.position,
rhs + lhs_row_layout_[block]);
}
NoEBlockRowOuterProduct(A, row_block_counter, lhs);
}
}
// A row r of A, which has no e_blocks gets added to the Schur
// Complement as S += r r'. This function is responsible for computing
// the contribution of a single row r to the Schur complement. It is
// very similar in structure to EBlockRowOuterProduct except for
// one difference. It does not use any of the template
// parameters. This is because the algorithm used for detecting the
// static structure of the matrix A only pays attention to rows with
// e_blocks. This is becase rows without e_blocks are rare and
// typically arise from regularization terms in the original
// optimization problem, and have a very different structure than the
// rows with e_blocks. Including them in the static structure
// detection will lead to most template parameters being set to
// dynamic. Since the number of rows without e_blocks is small, the
// lack of templating is not an issue.
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
void
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::
NoEBlockRowOuterProduct(const BlockSparseMatrix* A,
int row_block_index,
BlockRandomAccessMatrix* lhs) {
const CompressedRowBlockStructure* bs = A->block_structure();
const CompressedRow& row = bs->rows[row_block_index];
const double* values = A->values();
for (int i = 0; i < row.cells.size(); ++i) {
const int block1 = row.cells[i].block_id - num_eliminate_blocks_;
DCHECK_GE(block1, 0);
const int block1_size = bs->cols[row.cells[i].block_id].size;
int r, c, row_stride, col_stride;
CellInfo* cell_info = lhs->GetCell(block1, block1,
&r, &c,
&row_stride, &col_stride);
if (cell_info != NULL) {
CeresMutexLock l(&cell_info->m);
// This multiply currently ignores the fact that this is a
// symmetric outer product.
MatrixTransposeMatrixMultiply
<Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic, 1>(
values + row.cells[i].position, row.block.size, block1_size,
values + row.cells[i].position, row.block.size, block1_size,
cell_info->values, r, c, row_stride, col_stride);
}
for (int j = i + 1; j < row.cells.size(); ++j) {
const int block2 = row.cells[j].block_id - num_eliminate_blocks_;
DCHECK_GE(block2, 0);
DCHECK_LT(block1, block2);
int r, c, row_stride, col_stride;
CellInfo* cell_info = lhs->GetCell(block1, block2,
&r, &c,
&row_stride, &col_stride);
if (cell_info != NULL) {
const int block2_size = bs->cols[row.cells[j].block_id].size;
CeresMutexLock l(&cell_info->m);
MatrixTransposeMatrixMultiply
<Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic, 1>(
values + row.cells[i].position, row.block.size, block1_size,
values + row.cells[j].position, row.block.size, block2_size,
cell_info->values, r, c, row_stride, col_stride);
}
}
}
}
// For a row with an e_block, compute the contribition S += F'F. This
// function has the same structure as NoEBlockRowOuterProduct, except
// that this function uses the template parameters.
template <int kRowBlockSize, int kEBlockSize, int kFBlockSize>
void
SchurEliminator<kRowBlockSize, kEBlockSize, kFBlockSize>::
EBlockRowOuterProduct(const BlockSparseMatrix* A,
int row_block_index,
BlockRandomAccessMatrix* lhs) {
const CompressedRowBlockStructure* bs = A->block_structure();
const CompressedRow& row = bs->rows[row_block_index];
const double* values = A->values();
for (int i = 1; i < row.cells.size(); ++i) {
const int block1 = row.cells[i].block_id - num_eliminate_blocks_;
DCHECK_GE(block1, 0);
const int block1_size = bs->cols[row.cells[i].block_id].size;
int r, c, row_stride, col_stride;
CellInfo* cell_info = lhs->GetCell(block1, block1,
&r, &c,
&row_stride, &col_stride);
if (cell_info != NULL) {
CeresMutexLock l(&cell_info->m);
// block += b1.transpose() * b1;
MatrixTransposeMatrixMultiply
<kRowBlockSize, kFBlockSize, kRowBlockSize, kFBlockSize, 1>(
values + row.cells[i].position, row.block.size, block1_size,
values + row.cells[i].position, row.block.size, block1_size,
cell_info->values, r, c, row_stride, col_stride);
}
for (int j = i + 1; j < row.cells.size(); ++j) {
const int block2 = row.cells[j].block_id - num_eliminate_blocks_;
DCHECK_GE(block2, 0);
DCHECK_LT(block1, block2);
const int block2_size = bs->cols[row.cells[j].block_id].size;
int r, c, row_stride, col_stride;
CellInfo* cell_info = lhs->GetCell(block1, block2,
&r, &c,
&row_stride, &col_stride);
if (cell_info != NULL) {
// block += b1.transpose() * b2;
CeresMutexLock l(&cell_info->m);
MatrixTransposeMatrixMultiply
<kRowBlockSize, kFBlockSize, kRowBlockSize, kFBlockSize, 1>(
values + row.cells[i].position, row.block.size, block1_size,
values + row.cells[j].position, row.block.size, block2_size,
cell_info->values, r, c, row_stride, col_stride);
}
}
}
}
} // namespace internal
} // namespace ceres
#endif // CERES_INTERNAL_SCHUR_ELIMINATOR_IMPL_H_
|
GB_binop__first_uint8.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__first_uint8)
// A.*B function (eWiseMult): GB (_AemultB_08__first_uint8)
// A.*B function (eWiseMult): GB (_AemultB_02__first_uint8)
// A.*B function (eWiseMult): GB (_AemultB_04__first_uint8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__first_uint8)
// A*D function (colscale): GB (_AxD__first_uint8)
// D*A function (rowscale): GB (_DxB__first_uint8)
// C+=B function (dense accum): GB (_Cdense_accumB__first_uint8)
// C+=b function (dense accum): GB (_Cdense_accumb__first_uint8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__first_uint8)
// C=scalar+B GB ((none))
// C=scalar+B' GB ((none))
// C=A+scalar GB ((none))
// C=A'+scalar GB ((none))
// C type: uint8_t
// A type: uint8_t
// A pattern? 0
// B type: uint8_t
// B pattern? 1
// BinaryOp: cij = aij
#define GB_ATYPE \
uint8_t
#define GB_BTYPE \
uint8_t
#define GB_CTYPE \
uint8_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) \
uint8_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) \
;
// true if values of B are not used
#define GB_B_IS_PATTERN \
1 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint8_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 = 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_FIRST || GxB_NO_UINT8 || GxB_NO_FIRST_UINT8)
//------------------------------------------------------------------------------
// 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__first_uint8)
(
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__first_uint8)
(
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__first_uint8)
(
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 uint8_t
uint8_t bwork = (*((uint8_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_uint8)
(
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
uint8_t *restrict Cx = (uint8_t *) 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__first_uint8)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_t *) 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__first_uint8)
(
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) ;
uint8_t alpha_scalar ;
uint8_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((uint8_t *) alpha_scalar_in)) ;
beta_scalar = (*((uint8_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__first_uint8)
(
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__first_uint8)
(
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__first_uint8)
(
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__first_uint8)
(
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
//------------------------------------------------------------------------------
#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
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t x = (*((uint8_t *) x_input)) ;
uint8_t *Bx = (uint8_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] = x ;
}
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 ;
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t *Ax = (uint8_t *) Ax_input ;
uint8_t y = (*((uint8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint8_t aij = GBX (Ax, p, false) ;
Cx [p] = aij ;
}
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] = x ; \
}
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 \
uint8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t x = (*((const uint8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint8_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) \
{ \
uint8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = aij ; \
}
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
uint8_t y = (*((const uint8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
#endif
|
matrix_mult.c | /******************************************************************************
* FILE: omp_mm.c
* DESCRIPTION:
* OpenMp Example - Matrix Multiply - C Version
* Demonstrates a matrix multiply using OpenMP. Threads share row iterations
* according to a predefined chunk size.
* AUTHOR: Blaise Barney
* LAST REVISED: 06/28/05
******************************************************************************/
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#define NRA 62 /* number of rows in matrix A */
#define NCA 15 /* number of columns in matrix A */
#define NCB 7 /* number of columns in matrix B */
int main (int argc, char *argv[])
{
int tid, nthreads, i, j, k, chunk;
double a[NRA][NCA], /* matrix A to be multiplied */
b[NCA][NCB], /* matrix B to be multiplied */
c[NRA][NCB]; /* result matrix C */
chunk = 10; /* set loop iteration chunk size */
double start = omp_get_wtime();
double elapsed;
/*** Spawn a parallel region explicitly scoping all variables ***/
#pragma omp parallel shared(a,b,c,nthreads,chunk) private(tid,i,j,k)
{
tid = omp_get_thread_num();
if (tid == 0)
{
nthreads = omp_get_num_threads();
printf("Starting matrix multiple example with %d threads\n",nthreads);
printf("Initializing matrices...\n");
}
/*** Initialize matrices ***/
#pragma omp for schedule (guided, chunk)
for (i=0; i<NRA; i++)
for (j=0; j<NCA; j++)
a[i][j]= i+j;
#pragma omp for schedule (guided, chunk)
for (i=0; i<NCA; i++)
for (j=0; j<NCB; j++)
b[i][j]= i*j;
#pragma omp for schedule (guided, chunk)
for (i=0; i<NRA; i++)
for (j=0; j<NCB; j++)
c[i][j]= 0;
/*** Do matrix multiply sharing iterations on outer loop ***/
/*** Display who does which iterations for demonstration purposes ***/
printf("Thread %d starting matrix multiply...\n",tid);
#pragma omp for schedule (guided, chunk)
for (i=0; i<NRA; i++)
{
printf("Thread=%d did row=%d\n",tid,i);
for(j=0; j<NCB; j++)
for (k=0; k<NCA; k++)
c[i][j] += a[i][k] * b[k][j];
}
} /*** End of parallel region ***/
double end = omp_get_wtime();
elapsed = end - start;
/*** Print results ***/
printf("******************************************************\n");
printf("Result Matrix:\n");
for (i=0; i<NRA; i++)
{
for (j=0; j<NCB; j++)
printf("%6.2f ", c[i][j]);
printf("\n");
}
printf("******************************************************\n");
printf ("Done.\n");
printf("The elapsed time is: %f\n", elapsed);
}
|
tensor_cpu-inl.h | /*!
* Copyright (c) 2014 by Contributors
* \file tensor_cpu-inl.h
* \brief implementation of CPU host code
* \author Bing Xu, Tianqi Chen
*/
#ifndef MSHADOW_TENSOR_CPU_INL_H_
#define MSHADOW_TENSOR_CPU_INL_H_
#include <cstring>
#include <functional>
#include <utility>
#include <vector>
#include "./base.h"
#include "./tensor.h"
#include "./packet-inl.h"
#include "./dot_engine-inl.h"
namespace mshadow {
template<>
inline void InitTensorEngine<cpu>(int dev_id) {
}
template<>
inline void ShutdownTensorEngine<cpu>(void) {
}
template<>
inline void SetDevice<cpu>(int devid) {
}
template<>
inline Stream<cpu> *NewStream<cpu>(bool create_blas_handle,
bool create_dnn_handle,
int dev_id) {
return new Stream<cpu>();
}
template<>
inline void DeleteStream<cpu>(Stream<cpu> *stream) {
delete stream;
}
template<int ndim>
inline std::ostream &operator<<(std::ostream &os, const Shape<ndim> &shape) { // NOLINT(*)
os << '(';
for (int i = 0; i < ndim; ++i) {
if (i != 0) os << ',';
os << shape[i];
}
// python style tuple
if (ndim == 1) os << ',';
os << ')';
return os;
}
template<typename xpu>
inline void *AllocHost_(size_t size);
template<typename xpu>
inline void FreeHost_(void * dptr);
#ifdef __CUDACC__
template<>
inline void *AllocHost_<gpu>(size_t size) {
void *dptr;
MSHADOW_CUDA_CALL(cudaMallocHost(&dptr, size, cudaHostAllocPortable));
return dptr;
}
template<>
inline void FreeHost_<gpu>(void *dptr) {
MSHADOW_CUDA_CALL(cudaFreeHost(dptr));
}
#endif
template<>
inline void *AllocHost_<cpu>(size_t size) {
size_t pitch;
return packet::AlignedMallocPitch(&pitch, size, 1);
}
template<>
inline void FreeHost_<cpu>(void *dptr) {
packet::AlignedFree(dptr);
}
template<typename xpu, int dim, typename DType>
inline void AllocHost(Tensor<cpu, dim, DType> *obj) {
obj->stride_ = obj->size(dim - 1);
CHECK_EQ(obj->CheckContiguous(), true) << "AllocHost";
void *dptr = AllocHost_<xpu>(obj->MSize() * sizeof(DType));
obj->dptr_ = reinterpret_cast<DType*>(dptr);
}
template<typename xpu, int dim, typename DType>
inline void FreeHost(Tensor<cpu, dim, DType> *obj) {
if (obj->dptr_ == NULL) {
LOG(FATAL) << "FreeHost:: double free";
}
FreeHost_<xpu>(obj->dptr_);
obj->dptr_ = NULL;
}
template<int dim, typename DType>
inline void AllocSpace(Tensor<cpu, dim, DType> *obj, bool pad) {
size_t pitch;
void *dptr;
if (pad) {
dptr = packet::AlignedMallocPitch
(&pitch, obj->size(dim - 1) * sizeof(DType), obj->shape_.FlatTo2D()[0]);
obj->stride_ = static_cast<index_t>(pitch / sizeof(DType));
} else {
obj->stride_ = obj->size(dim - 1);
dptr = packet::AlignedMallocPitch
(&pitch, obj->shape_.Size() * sizeof(DType), 1);
}
obj->dptr_ = reinterpret_cast<DType*>(dptr);
}
template<typename Device, typename DType, int dim>
inline Tensor<Device, dim, DType>
NewTensor(const Shape<dim> &shape, DType initv, bool pad, Stream<Device> *stream_) {
Tensor<Device, dim, DType> obj(shape);
obj.stream_ = stream_;
AllocSpace(&obj, pad);
MapExp<sv::saveto>(&obj, expr::ScalarExp<DType>(initv));
return obj;
}
template<int dim, typename DType>
inline void FreeSpace(Tensor<cpu, dim, DType> *obj) {
packet::AlignedFree(obj->dptr_);
obj->dptr_ = NULL;
}
template<int dim, typename DType>
inline void Copy(Tensor<cpu, dim, DType> _dst,
const Tensor<cpu, dim, DType> &_src,
Stream<cpu> *stream) {
CHECK_EQ(_dst.shape_, _src.shape_)
<< "Copy:shape mismatch:" << _dst.shape_ << " vs " << _src.shape_;
if (_dst.CheckContiguous() && _src.CheckContiguous()) {
memcpy(_dst.dptr_, _src.dptr_, sizeof(DType) * _dst.shape_.Size());
} else {
Tensor<cpu, 2, DType> dst = _dst.FlatTo2D();
Tensor<cpu, 2, DType> src = _src.FlatTo2D();
for (index_t y = 0; y < dst.size(0); ++y) {
memcpy(dst[y].dptr_, src[y].dptr_, sizeof(DType) * dst.size(1));
}
}
}
template<typename Saver, typename R, int dim,
typename DType, typename E>
inline void MapPlan(TRValue<R, cpu, dim, DType> *dst,
const expr::Plan<E, DType> &plan) {
Shape<2> shape = expr::ShapeCheck<dim, R>::Check(dst->self()).FlatTo2D();
expr::Plan<R, DType> dplan = expr::MakePlan(dst->self());
#ifndef __CUDACC__
#pragma omp parallel for
#endif
// temp remove openmp, as default setting throttles CPU
for (openmp_index_t y = 0; y < shape[0]; ++y) {
for (index_t x = 0; x < shape[1]; ++x) {
// trust your compiler! -_- they will optimize it
Saver::template Save<DType>(dplan.REval(y, x), plan.Eval(y, x));
}
}
}
// code to handle SSE optimization
template<bool pass_check, typename Saver,
typename R, int dim,
typename DType, typename E, int etype>
struct MapExpCPUEngine {
inline static void Map(TRValue<R, cpu, dim, DType> *dst,
const expr::Exp<E, DType, etype> &exp) {
MapPlan<Saver>(dst, MakePlan(exp.self()));
}
};
template<typename SV, int dim, typename DType, typename E, int etype>
struct MapExpCPUEngine<true, SV, Tensor<cpu, dim, DType>,
dim, DType, E, etype> {
inline static void Map(Tensor<cpu, dim, DType> *dst,
const expr::Exp<E, DType, etype> &exp) {
if (expr::PacketAlignCheck<dim, E, MSHADOW_DEFAULT_PACKET>::Check(exp.self()) &&
expr::PacketAlignCheck<dim, Tensor<cpu, dim, DType>, MSHADOW_DEFAULT_PACKET>::Check(*dst)) {
expr::MapPacketPlan<SV>(dst->self(),
expr::MakePacketPlan<MSHADOW_DEFAULT_PACKET>(exp.self()));
} else {
MapPlan<SV>(dst, MakePlan(exp.self()));
}
}
};
template<typename Saver, typename R, int dim,
typename DType, typename E, int etype>
inline void MapExp(TRValue<R, cpu, dim, DType> *dst,
const expr::Exp<E, DType, etype> &exp) {
expr::TypeCheckPass<expr::TypeCheck<cpu, dim, DType, E>::kMapPass>
::Error_All_Tensor_in_Exp_Must_Have_Same_Type();
Shape<dim> eshape = expr::ShapeCheck<dim, E>::Check(exp.self());
Shape<dim> dshape = expr::ShapeCheck<dim, R>::Check(dst->self());
CHECK(eshape[0] == 0 || eshape == dshape)
<< "Assignment: Shape of Tensors are not consistent with target, "
<< "eshape: " << eshape << " dshape:" << dshape;
MapExpCPUEngine<expr::PacketCheck<E, MSHADOW_DEFAULT_PACKET>::kPass,
Saver, R, dim, DType, E, etype>
::Map(dst->ptrself(), exp);
}
template<typename Saver, typename Reducer,
typename R, typename DType, typename E, int etype>
inline void MapReduceKeepLowest(TRValue<R, cpu, 1, DType> *dst,
const expr::Exp<E, DType, etype> &exp,
DType scale) {
expr::TypeCheckPass<expr::TypeCheck<cpu, 1, DType, E>::kRedPass>
::Error_TypeCheck_Not_Pass_For_Reduce_Exp();
Shape<2> eshape = expr::ShapeCheck<expr::ExpInfo<E>::kDim, E>
::Check(exp.self()).FlatTo2D();
Shape<1> dshape = expr::ShapeCheck<1, R>::Check(dst->self());
CHECK_EQ(eshape[1], dshape[0]) << "MapReduceKeepLowest::reduction dimension do not match";
CHECK_NE(eshape[0], 0U) << "can not reduce over empty tensor";
// execution
expr::Plan<R, DType> dplan = MakePlan(dst->self());
expr::Plan<E, DType> splan = MakePlan(exp.self());
#ifndef __CUDACC__
#pragma omp parallel for
#endif
for (openmp_index_t x = 0; x < eshape[1]; ++x) {
DType res = splan.Eval(0, x);
for (index_t y = 1; y < eshape[0]; ++y) {
Reducer::Reduce(res, splan.Eval(y, x));
}
Saver::template Save<DType>(dplan.REval(0, x), res * scale);
}
}
template<typename Saver, typename Reducer, int dimkeep,
typename R, typename DType, typename E, int etype>
inline void MapReduceKeepHighDim(TRValue<R, cpu, 1, DType> *dst,
const expr::Exp<E, DType, etype> &exp,
DType scale) {
expr::TypeCheckPass<expr::TypeCheck<cpu, dimkeep, DType, E>::kRedPass>
::Error_TypeCheck_Not_Pass_For_Reduce_Exp();
typedef Shape<expr::ExpInfo<E>::kDim> EShape;
EShape eshape = expr::ShapeCheck<expr::ExpInfo<E>::kDim, E>
::Check(exp.self());
Shape<1> dshape = expr::ShapeCheck<1, R>::Check(dst->self());
CHECK_EQ(eshape[dimkeep], dshape[0])
<< "MapReduceKeepHighDim::reduction dimension do not match";
// use equvalent form
Shape<4> pshape = Shape4(eshape.ProdShape(0, dimkeep),
eshape[dimkeep],
eshape.ProdShape(dimkeep + 1, EShape::kSubdim),
eshape[EShape::kSubdim]);
// execution
expr::Plan<R, DType> dplan = MakePlan(dst->self());
expr::Plan<E, DType> splan = MakePlan(exp.self());
#ifndef __CUDACC__
#pragma omp parallel for
#endif
for (openmp_index_t c = 0; c < pshape[1]; ++c) {
DType res; Reducer::SetInitValue(res);
for (index_t n = 0; n < pshape[0]; ++n) {
DType tres; Reducer::SetInitValue(tres);
for (index_t y = 0; y < pshape[2]; ++y) {
for (index_t x = 0; x < pshape[3]; ++x) {
Reducer::Reduce(tres,
splan.Eval((n * pshape[1] + c) * pshape[2] + y, x));
}
}
Reducer::Reduce(res, tres);
}
Saver::template Save<DType>(dplan.REval(0, c), DType(res * scale));
}
}
template<typename DType>
inline void Softmax(Tensor<cpu, 1, DType> dst,
const Tensor<cpu, 1, DType> &energy) {
DType mmax = energy[0];
for (index_t x = 1; x < dst.size(0); ++x) {
if (mmax < energy[x]) mmax = energy[x];
}
DType sum = DType(0.0f);
for (index_t x = 0; x < dst.size(0); ++x) {
dst[x] = std::exp(energy[x] - mmax);
sum += dst[x];
}
for (index_t x = 0; x < dst.size(0); ++x) {
dst[x] /= sum;
}
}
template<typename DType>
inline void SoftmaxGrad(Tensor<cpu, 2, DType> dst,
const Tensor<cpu, 2, DType> &src,
const Tensor<cpu, 1, DType> &label) {
#pragma omp parallel for
for (openmp_index_t y = 0; y < dst.size(0); ++y) {
const index_t k = static_cast<int>(label[y]);
for (index_t x = 0; x < dst.size(1); ++x) {
if (x == k) {
dst[y][k] = src[y][k] - 1.0f;
} else {
dst[y][x] = src[y][x];
}
}
}
}
template<typename DType>
inline void SmoothSoftmaxGrad(Tensor<cpu, 2, DType> dst,
const Tensor<cpu, 2, DType> &src,
const Tensor<cpu, 1, DType> &label,
const float alpha) {
const float smooth_grad = (alpha / (dst.size(1) - 1));
#pragma omp parallel for
for (openmp_index_t y = 0; y < dst.size(0); ++y) {
const index_t k = static_cast<int>(label[y]);
for (index_t x = 0; x < dst.size(1); ++x) {
if (x == k) {
dst[y][k] = src[y][k] - 1.0f + alpha;
} else {
dst[y][x] = src[y][x] - smooth_grad;
}
}
}
}
template<typename DType>
inline void SoftmaxGrad(Tensor<cpu, 2, DType> dst,
const Tensor<cpu, 2, DType> &src,
const Tensor<cpu, 1, DType> &label,
const DType &ignore_label) {
#pragma omp parallel for
for (openmp_index_t y = 0; y < dst.size(0); ++y) {
const int k = static_cast<int>(label[y]);
for (int x = 0; x < static_cast<int>(dst.size(1)); ++x) {
if (static_cast<int>(ignore_label) == k) {
dst[y][x] = 0.0f;
} else {
if (x == k) {
dst[y][k] = src[y][k] - 1.0f;
} else {
dst[y][x] = src[y][x];
}
}
}
}
}
template<typename DType>
inline void SmoothSoftmaxGrad(Tensor<cpu, 2, DType> dst,
const Tensor<cpu, 2, DType> &src,
const Tensor<cpu, 1, DType> &label,
const DType &ignore_label,
const float alpha) {
const float smooth_grad = (alpha / (dst.size(1) - 1));
#pragma omp parallel for
for (openmp_index_t y = 0; y < dst.size(0); ++y) {
const int k = static_cast<int>(label[y]);
for (int x = 0; x < static_cast<int>(dst.size(1)); ++x) {
if (static_cast<int>(ignore_label) == k) {
dst[y][x] = 0.0f;
} else {
if (x == k) {
dst[y][k] = src[y][k] - 1.0f + alpha;
} else {
dst[y][x] = src[y][x] - smooth_grad;
}
}
}
}
}
template<typename DType>
inline void SoftmaxGrad(Tensor<cpu, 3, DType> dst,
const Tensor<cpu, 3, DType> &src,
const Tensor<cpu, 2, DType> &label) {
#pragma omp parallel for
for (openmp_index_t n = 0; n < dst.size(2); ++n) {
for (index_t y = 0; y < dst.size(0); ++y) {
const int k = static_cast<int>(label[y][n]);
for (int x = 0; x < static_cast<int>(dst.size(1)); ++x) {
if (x == k) {
dst[y][k][n] = src[y][k][n] - 1.0f;
} else {
dst[y][x][n] = src[y][x][n];
}
}
}
}
}
template<typename DType>
inline void SmoothSoftmaxGrad(Tensor<cpu, 3, DType> dst,
const Tensor<cpu, 3, DType> &src,
const Tensor<cpu, 2, DType> &label,
const float alpha) {
const float smooth_grad = (alpha / (dst.size(1) - 1));
#pragma omp parallel for
for (openmp_index_t n = 0; n < dst.size(2); ++n) {
for (index_t y = 0; y < dst.size(0); ++y) {
const int k = static_cast<int>(label[y][n]);
for (int x = 0; x < static_cast<int>(dst.size(1)); ++x) {
if (x == k) {
dst[y][k][n] = src[y][k][n] - 1.0f + alpha;
} else {
dst[y][x][n] = src[y][x][n] - smooth_grad;
}
}
}
}
}
template<typename DType>
inline void SoftmaxGrad(Tensor<cpu, 3, DType> dst,
const Tensor<cpu, 3, DType> &src,
const Tensor<cpu, 2, DType> &label,
const DType &ignore_label) {
#pragma omp parallel for
for (openmp_index_t n = 0; n < dst.size(2); ++n) {
for (index_t y = 0; y < dst.size(0); ++y) {
const int k = static_cast<int>(label[y][n]);
if (k == static_cast<int>(ignore_label)) {
for (int x = 0; x < static_cast<int>(dst.size(1)); ++x) {
dst[y][x][n] = DType(0.0f);
}
} else {
for (int x = 0; x < static_cast<int>(dst.size(1)); ++x) {
if (x == k) {
dst[y][k][n] = src[y][k][n] - 1.0f;
} else {
dst[y][x][n] = src[y][x][n];
}
}
}
}
}
}
template<typename DType>
inline void SmoothSoftmaxGrad(Tensor<cpu, 3, DType> dst,
const Tensor<cpu, 3, DType> &src,
const Tensor<cpu, 2, DType> &label,
const DType &ignore_label,
const float alpha) {
const float smooth_grad = (alpha / (dst.size(1) - 1));
#pragma omp parallel for
for (openmp_index_t n = 0; n < dst.size(2); ++n) {
for (index_t y = 0; y < dst.size(0); ++y) {
const int k = static_cast<int>(label[y][n]);
if (k == static_cast<int>(ignore_label)) {
for (int x = 0; x < static_cast<int>(dst.size(1)); ++x) {
dst[y][x][n] = DType(0.0f);
}
} else {
for (int x = 0; x < static_cast<int>(dst.size(1)); ++x) {
if (x == k) {
dst[y][k][n] = src[y][k][n] - 1.0f + alpha;
} else {
dst[y][x][n] = src[y][x][n] - smooth_grad;
}
}
}
}
}
}
template<typename DType>
inline void Softmax(Tensor<cpu, 2, DType> dst,
const Tensor<cpu, 2, DType> &energy) {
CHECK_EQ(dst.shape_, energy.shape_) << "Softmax: shape mismatch";
#pragma omp parallel for
for (openmp_index_t y = 0; y < dst.size(0); ++y) {
Softmax(dst[y], energy[y]);
}
}
template<typename DType>
inline void Softmax(Tensor<cpu, 3, DType> dst,
const Tensor<cpu, 3, DType> &energy) {
CHECK_EQ(dst.shape_, energy.shape_) << "Softmax: shape mismatch";
#pragma omp parallel for
for (openmp_index_t y = 0; y < dst.size(0); ++y) {
for (index_t n = 0; n < dst.size(2); ++n) {
DType mmax = energy[y][0][n];
for (index_t x = 1; x < dst.size(1); ++x) {
if (mmax < energy[y][x][n]) mmax = energy[y][x][n];
}
DType sum = DType(0.0f);
for (index_t x = 0; x < dst.size(1); ++x) {
dst[y][x][n] = std::exp(energy[y][x][n] - mmax);
sum += dst[y][x][n];
}
for (index_t x = 0; x < dst.size(1); ++x) {
dst[y][x][n] /= sum;
}
}
}
}
template<typename IndexType, typename DType>
inline void AddTakeGrad(Tensor<cpu, 2, DType> dst,
const Tensor<cpu, 1, IndexType>& index,
const Tensor<cpu, 2, DType> &src) {
const int K = dst.shape_[0];
for (index_t y = 0; y < index.size(0); ++y) {
int j = index[y];
if (j <= 0) j = 0;
else if (j >= K) j = K - 1;
dst[j] += src[y];
}
}
template<typename IndexType, typename DType>
inline void AddTakeGradLargeBatch(Tensor<cpu, 2, DType> dst,
const Tensor<cpu, 1, IndexType>& sorted,
const Tensor<cpu, 1, IndexType>& index,
const Tensor<cpu, 2, DType> &src) {
for (index_t y = 0; y < sorted.size(0); ++y) {
dst[sorted[y]] += src[index[y]];
}
}
template<typename IndexType, typename DType>
inline void IndexFill(Tensor<cpu, 2, DType> dst,
const Tensor<cpu, 1, IndexType>& index,
const Tensor<cpu, 2, DType> &src) {
for (index_t y = 0; y < index.size(0); ++y) {
for (index_t j = 0; j < src.size(1); j++) {
dst[index[y]][j] = src[y][j];
}
}
}
template<typename KDType, typename VDType>
inline void SortByKey(Tensor<cpu, 1, KDType> keys, Tensor<cpu, 1, VDType> values,
bool is_ascend) {
CHECK_EQ(keys.CheckContiguous(), true);
CHECK_EQ(values.CheckContiguous(), true);
CHECK_EQ(keys.size(0), values.size(0))
<< "The sizes of key/value are not equal! keys_size: " << keys.size(0)
<< "values_size: " << values.size(0);
std::vector<size_t> idx(keys.size(0));
std::vector<KDType> keys_vec(keys.size(0));
std::vector<VDType> values_vec(values.size(0));
for (int i = 0; i < keys.size(0); i++) {
idx[i] = i;
keys_vec[i] = keys[i];
values_vec[i] = values[i];
}
if (is_ascend) {
std::stable_sort(idx.begin(), idx.end(),
[&keys_vec](size_t i1, size_t i2)
{return keys_vec[i1] < keys_vec[i2]; });
} else {
std::stable_sort(idx.begin(), idx.end(),
[&keys_vec](size_t i1, size_t i2)
{return keys_vec[i1] > keys_vec[i2]; });
}
for (index_t i = 0; i < values.size(0); i++) {
keys[i] = keys_vec[idx[i]];
values[i] = values_vec[idx[i]];
}
}
template<typename Device, typename VDType, typename SDType>
inline void VectorizedSort(Tensor<Device, 1, VDType> values, Tensor<Device, 1, SDType> segments) {
// We can sort each segments using two stable sorts
SortByKey(values, segments, true);
SortByKey(segments, values, true);
}
// blas related
template<typename Device, typename DType>
inline void VectorDot(Tensor<Device, 1, DType> dst,
const Tensor<Device, 1, DType> &lhs,
const Tensor<Device, 1, DType> &rhs) {
CHECK_EQ(lhs.size(0), rhs.size(0))
<< "VectorDot: Shape mismatch";
CHECK_EQ(dst.size(0), 1U)
<< "VectorDot: expect dst to be scalar";
expr::BLASEngine<Device, DType>::SetStream(lhs.stream_);
mshadow::expr::BLASEngine<Device, DType>::dot(
lhs.stream_, lhs.size(0), lhs.dptr_, 1, rhs.dptr_, 1, dst.dptr_);
}
template<bool transpose_left, bool transpose_right, typename Device, typename DType>
inline void BatchGEMM(Tensor<Device, 3, DType> dst,
const Tensor<Device, 3, DType> &lhs,
const Tensor<Device, 3, DType> &rhs,
DType alpha,
DType beta,
Tensor<Device, 1, DType*> workspace) {
index_t batch_size = dst.shape_[0];
expr::BLASEngine<Device, DType>::SetStream(dst.stream_);
Shape<3> sleft = transpose_left ? Shape3(lhs.shape_[0], lhs.shape_[2], lhs.shape_[1])
: lhs.shape_;
Shape<3> sright = transpose_right ? Shape3(rhs.shape_[0], rhs.shape_[2], rhs.shape_[1])
: rhs.shape_;
CHECK_EQ(dst.CheckContiguous(), true);
CHECK_EQ(lhs.CheckContiguous(), true);
CHECK_EQ(rhs.CheckContiguous(), true);
CHECK(sleft[0] == batch_size && sright[0] == batch_size)
<< "BatchGEMM: batchsize must be equal."
<< "dst: " << dst.shape_ << "\n"
<< "lhs: " << sleft << "\n"
<< "rhs: " << sright << "\n";
CHECK(dst.size(1) == sleft[1] && dst.size(2) == sright[2] && sleft[2] == sright[1])
<< "BatchGEMM: matrix shape mismatch"
<< "dst: " << dst.shape_ << "\n"
<< "lhs: " << sleft << "\n"
<< "rhs: " << sright << "\n";
CHECK(workspace.size(0) >= 3 * batch_size)
<< "Workspace Size must be bigger than " << 3 * batch_size;
CHECK_EQ(workspace.CheckContiguous(), true);
// use column major argument to compatible with most BLAS
expr::BLASEngine<Device, DType>::batched_gemm
(dst.stream_,
transpose_right, transpose_left,
transpose_right ? rhs.size(1) : rhs.size(2),
transpose_left ? lhs.size(2) : lhs.size(1),
transpose_right ? rhs.size(2) : rhs.size(1),
alpha,
rhs.dptr_, rhs.stride_,
lhs.dptr_, lhs.stride_,
beta,
dst.dptr_, dst.stride_, batch_size,
workspace.dptr_);
}
} // namespace mshadow
#endif // MSHADOW_TENSOR_CPU_INL_H_
|
convolution_3x3_pack4_bf16s.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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.
static void conv3x3s1_winograd63_pack4_bf16s_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel_tm, const Mat& bias, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
size_t elemsize = bottom_blob.elemsize;
int elempack = bottom_blob.elempack;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
// pad to 6n+2
Mat bottom_blob_bordered = bottom_blob;
outw = (outw + 5) / 6 * 6;
outh = (outh + 5) / 6 * 6;
w = outw + 2;
h = outh + 2;
copy_make_border(bottom_blob, bottom_blob_bordered, 0, h - bottom_blob.h, 0, w - bottom_blob.w, BORDER_CONSTANT, 0.f, opt);
// BEGIN transform input
Mat bottom_blob_tm;
{
int w_tiles = outw / 6;
int h_tiles = outh / 6;
const int tiles = w_tiles * h_tiles;
bottom_blob_tm.create(tiles, 64, inch, 16u, elempack, opt.workspace_allocator);
conv3x3s1_winograd63_transform_input_pack4_bf16s_neon(bottom_blob_bordered, bottom_blob_tm, opt);
}
bottom_blob_bordered = Mat();
// END transform input
// BEGIN dot
Mat top_blob_tm;
{
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
const int tiles = h_tm / 8 * w_tm / 8;
// permute
// bottom_blob_tm.create(tiles, 64, inch, elemsize, elempack, opt.workspace_allocator);
Mat bottom_blob_tm2;
#if __aarch64__
if (tiles >= 12)
bottom_blob_tm2.create(12 * inch, tiles / 12 + (tiles % 12) / 8 + (tiles % 12 % 8) / 4 + (tiles % 12 % 4) / 2 + tiles % 12 % 2, 64, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 8)
bottom_blob_tm2.create(8 * inch, tiles / 8 + (tiles % 8) / 4 + (tiles % 4) / 2 + tiles % 2, 64, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 4)
bottom_blob_tm2.create(4 * inch, tiles / 4 + (tiles % 4) / 2 + tiles % 2, 64, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 2)
bottom_blob_tm2.create(2 * inch, tiles / 2 + tiles % 2, 64, 4u * elempack, elempack, opt.workspace_allocator);
else // if (tiles >= 1)
bottom_blob_tm2.create(1 * inch, tiles, 64, 4u * elempack, elempack, opt.workspace_allocator);
#else
if (tiles >= 8)
bottom_blob_tm2.create(8 * inch, tiles / 8 + (tiles % 8) / 4 + (tiles % 4) / 2 + tiles % 2, 64, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 4)
bottom_blob_tm2.create(4 * inch, tiles / 4 + (tiles % 4) / 2 + tiles % 2, 64, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 2)
bottom_blob_tm2.create(2 * inch, tiles / 2 + tiles % 2, 64, 4u * elempack, elempack, opt.workspace_allocator);
else // if (tiles >= 1)
bottom_blob_tm2.create(1 * inch, tiles, 64, 4u * elempack, elempack, opt.workspace_allocator);
#endif
#pragma omp parallel for num_threads(opt.num_threads)
for (int r = 0; r < 64; r++)
{
Mat tm2 = bottom_blob_tm2.channel(r);
// tile
int i = 0;
#if __aarch64__
for (; i + 11 < tiles; i += 12)
{
float* tm2p = tm2.row(i / 12);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld4 {v0.4s, v1.4s, v2.4s, v3.4s}, [%0], #64 \n"
"prfm pldl1keep, [%0, #512] \n"
"ld4 {v4.4s, v5.4s, v6.4s, v7.4s}, [%0], #64 \n"
"prfm pldl1keep, [%0, #512] \n"
"ld4 {v8.4s, v9.4s, v10.4s, v11.4s}, [%0] \n"
"st1 {v0.4s}, [%1], #16 \n"
"st1 {v4.4s}, [%1], #16 \n"
"st1 {v8.4s}, [%1], #16 \n"
"sub %0, %0, #128 \n"
"st1 {v1.4s}, [%1], #16 \n"
"st1 {v5.4s}, [%1], #16 \n"
"st1 {v9.4s}, [%1], #16 \n"
"st1 {v2.4s}, [%1], #16 \n"
"st1 {v6.4s}, [%1], #16 \n"
"st1 {v10.4s}, [%1], #16 \n"
"st1 {v3.4s}, [%1], #16 \n"
"st1 {v7.4s}, [%1], #16 \n"
"st1 {v11.4s}, [%1], #16 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11");
r0 += bottom_blob_tm.cstep * 4;
}
}
#endif
for (; i + 7 < tiles; i += 8)
{
#if __aarch64__
float* tm2p = tm2.row(i / 12 + (i % 12) / 8);
#else
float* tm2p = tm2.row(i / 8);
#endif
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%0], #64 \n"
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%0] \n"
"st1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%1], #64 \n"
"sub %0, %0, #64 \n"
"st1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%1], #64 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7");
#else
asm volatile(
"pld [%0, #512] \n"
"vldm %0!, {d0-d7} \n"
"pld [%0, #512] \n"
"vldm %0, {d16-d23} \n"
// transpose 8x4
"vtrn.32 q0, q1 \n"
"vtrn.32 q2, q3 \n"
"vtrn.32 q8, q9 \n"
"vtrn.32 q10, q11 \n"
"vswp d1, d4 \n"
"vswp d3, d6 \n"
"vswp d17, d20 \n"
"vswp d19, d22 \n"
"vswp q1, q8 \n"
"vswp q3, q10 \n"
"vst1.f32 {d0-d3}, [%1 :128]! \n"
"vst1.f32 {d16-d19}, [%1 :128]! \n"
"sub %0, %0, #64 \n"
"vst1.f32 {d4-d7}, [%1 :128]! \n"
"vst1.f32 {d20-d23}, [%1 :128]! \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "q0", "q1", "q2", "q3", "q8", "q9", "q10", "q11");
#endif
r0 += bottom_blob_tm.cstep * 4;
}
}
for (; i + 3 < tiles; i += 4)
{
#if __aarch64__
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
#else
float* tm2p = tm2.row(i / 8 + (i % 8) / 4);
#endif
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%0] \n"
"st1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%1], #64 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0", "v1", "v2", "v3");
#else
asm volatile(
"pld [%0, #512] \n"
"vldm %0, {d0-d7} \n"
"vstm %1!, {d0-d7} \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "q0", "q1", "q2", "q3");
#endif // __aarch64__
r0 += bottom_blob_tm.cstep * 4;
}
}
for (; i + 1 < tiles; i += 2)
{
#if __aarch64__
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
#else
float* tm2p = tm2.row(i / 8 + (i % 8) / 4 + (i % 4) / 2);
#endif
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #256] \n"
"ld1 {v0.4s, v1.4s}, [%0] \n"
"st1 {v0.4s, v1.4s}, [%1], #32 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0", "v1");
#else
asm volatile(
"pld [%0, #256] \n"
"vld1.f32 {d0-d3}, [%0 :128] \n"
"vst1.f32 {d0-d3}, [%1 :128]! \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "q0", "q1");
#endif // __aarch64__
r0 += bottom_blob_tm.cstep * 4;
}
}
for (; i < tiles; i++)
{
#if __aarch64__
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
#else
float* tm2p = tm2.row(i / 8 + (i % 8) / 4 + (i % 4) / 2 + i % 2);
#endif
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #128] \n"
"ld1 {v0.4s}, [%0] \n"
"st1 {v0.4s}, [%1], #16 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0");
#else
asm volatile(
"pld [%0, #128] \n"
"vld1.f32 {d0-d1}, [%0 :128] \n"
"vst1.f32 {d0-d1}, [%1 :128]! \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "q0");
#endif // __aarch64__
r0 += bottom_blob_tm.cstep * 4;
}
}
}
bottom_blob_tm = Mat();
// permute end
top_blob_tm.create(tiles, 64, outch, 4u * elempack, elempack, opt.workspace_allocator);
int remain_outch_start = 0;
#if __ARM_NEON && __aarch64__
int nn_outch = 0;
nn_outch = outch >> 1;
remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp = 0; pp < nn_outch; pp++)
{
int p = pp * 2;
float* output0_tm = top_blob_tm.channel(p);
float* output1_tm = top_blob_tm.channel(p + 1);
const Mat kernel01_tm = kernel_tm.channel(pp);
for (int r = 0; r < 64; r++)
{
const Mat bb2 = bottom_blob_tm2.channel(r);
int i = 0;
for (; i + 11 < tiles; i += 12)
{
const float* r0 = bb2.row(i / 12);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v8.16b, v8.16b, v8.16b \n"
"eor v9.16b, v9.16b, v9.16b \n"
"eor v10.16b, v10.16b, v10.16b \n"
"eor v11.16b, v11.16b, v11.16b \n"
"eor v12.16b, v12.16b, v12.16b \n"
"eor v13.16b, v13.16b, v13.16b \n"
"eor v14.16b, v14.16b, v14.16b \n"
"eor v15.16b, v15.16b, v15.16b \n"
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"eor v24.16b, v24.16b, v24.16b \n"
"eor v25.16b, v25.16b, v25.16b \n"
"eor v26.16b, v26.16b, v26.16b \n"
"eor v27.16b, v27.16b, v27.16b \n"
"eor v28.16b, v28.16b, v28.16b \n"
"eor v29.16b, v29.16b, v29.16b \n"
"eor v30.16b, v30.16b, v30.16b \n"
"eor v31.16b, v31.16b, v31.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%4], #64 \n" // w0011_01
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v9.4s, v4.4s, v0.s[1] \n"
"fmla v10.4s, v4.4s, v0.s[2] \n"
"fmla v11.4s, v4.4s, v0.s[3] \n"
"fmla v12.4s, v4.4s, v1.s[0] \n"
"fmla v13.4s, v4.4s, v1.s[1] \n"
"fmla v14.4s, v4.4s, v1.s[2] \n"
"fmla v15.4s, v4.4s, v1.s[3] \n"
"fmla v16.4s, v4.4s, v2.s[0] \n"
"fmla v17.4s, v4.4s, v2.s[1] \n"
"fmla v18.4s, v4.4s, v2.s[2] \n"
"fmla v19.4s, v4.4s, v2.s[3] \n"
"fmla v20.4s, v5.4s, v0.s[0] \n"
"fmla v21.4s, v5.4s, v0.s[1] \n"
"fmla v22.4s, v5.4s, v0.s[2] \n"
"fmla v23.4s, v5.4s, v0.s[3] \n"
"fmla v24.4s, v5.4s, v1.s[0] \n"
"fmla v25.4s, v5.4s, v1.s[1] \n"
"fmla v26.4s, v5.4s, v1.s[2] \n"
"fmla v27.4s, v5.4s, v1.s[3] \n"
"fmla v28.4s, v5.4s, v2.s[0] \n"
"fmla v29.4s, v5.4s, v2.s[1] \n"
"fmla v30.4s, v5.4s, v2.s[2] \n"
"fmla v31.4s, v5.4s, v2.s[3] \n"
"fmla v8.4s, v6.4s, v3.s[0] \n"
"fmla v9.4s, v6.4s, v3.s[1] \n"
"fmla v10.4s, v6.4s, v3.s[2] \n"
"fmla v11.4s, v6.4s, v3.s[3] \n"
"fmla v20.4s, v7.4s, v3.s[0] \n"
"fmla v21.4s, v7.4s, v3.s[1] \n"
"fmla v22.4s, v7.4s, v3.s[2] \n"
"fmla v23.4s, v7.4s, v3.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n"
"fmla v12.4s, v6.4s, v0.s[0] \n"
"fmla v13.4s, v6.4s, v0.s[1] \n"
"fmla v14.4s, v6.4s, v0.s[2] \n"
"fmla v15.4s, v6.4s, v0.s[3] \n"
"fmla v16.4s, v6.4s, v1.s[0] \n"
"fmla v17.4s, v6.4s, v1.s[1] \n"
"fmla v18.4s, v6.4s, v1.s[2] \n"
"fmla v19.4s, v6.4s, v1.s[3] \n"
"fmla v24.4s, v7.4s, v0.s[0] \n"
"fmla v25.4s, v7.4s, v0.s[1] \n"
"fmla v26.4s, v7.4s, v0.s[2] \n"
"fmla v27.4s, v7.4s, v0.s[3] \n"
"fmla v28.4s, v7.4s, v1.s[0] \n"
"fmla v29.4s, v7.4s, v1.s[1] \n"
"fmla v30.4s, v7.4s, v1.s[2] \n"
"fmla v31.4s, v7.4s, v1.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%4], #64 \n" // w2233_01
"fmla v8.4s, v4.4s, v2.s[0] \n"
"fmla v9.4s, v4.4s, v2.s[1] \n"
"fmla v10.4s, v4.4s, v2.s[2] \n"
"fmla v11.4s, v4.4s, v2.s[3] \n"
"fmla v12.4s, v4.4s, v3.s[0] \n"
"fmla v13.4s, v4.4s, v3.s[1] \n"
"fmla v14.4s, v4.4s, v3.s[2] \n"
"fmla v15.4s, v4.4s, v3.s[3] \n"
"fmla v20.4s, v5.4s, v2.s[0] \n"
"fmla v21.4s, v5.4s, v2.s[1] \n"
"fmla v22.4s, v5.4s, v2.s[2] \n"
"fmla v23.4s, v5.4s, v2.s[3] \n"
"fmla v24.4s, v5.4s, v3.s[0] \n"
"fmla v25.4s, v5.4s, v3.s[1] \n"
"fmla v26.4s, v5.4s, v3.s[2] \n"
"fmla v27.4s, v5.4s, v3.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n"
"fmla v16.4s, v4.4s, v0.s[0] \n"
"fmla v17.4s, v4.4s, v0.s[1] \n"
"fmla v18.4s, v4.4s, v0.s[2] \n"
"fmla v19.4s, v4.4s, v0.s[3] \n"
"fmla v28.4s, v5.4s, v0.s[0] \n"
"fmla v29.4s, v5.4s, v0.s[1] \n"
"fmla v30.4s, v5.4s, v0.s[2] \n"
"fmla v31.4s, v5.4s, v0.s[3] \n"
"fmla v8.4s, v6.4s, v1.s[0] \n"
"fmla v9.4s, v6.4s, v1.s[1] \n"
"fmla v10.4s, v6.4s, v1.s[2] \n"
"fmla v11.4s, v6.4s, v1.s[3] \n"
"fmla v12.4s, v6.4s, v2.s[0] \n"
"fmla v13.4s, v6.4s, v2.s[1] \n"
"fmla v14.4s, v6.4s, v2.s[2] \n"
"fmla v15.4s, v6.4s, v2.s[3] \n"
"fmla v16.4s, v6.4s, v3.s[0] \n"
"fmla v17.4s, v6.4s, v3.s[1] \n"
"fmla v18.4s, v6.4s, v3.s[2] \n"
"fmla v19.4s, v6.4s, v3.s[3] \n"
"subs %w0, %w0, #1 \n"
"fmla v20.4s, v7.4s, v1.s[0] \n"
"fmla v21.4s, v7.4s, v1.s[1] \n"
"fmla v22.4s, v7.4s, v1.s[2] \n"
"fmla v23.4s, v7.4s, v1.s[3] \n"
"fmla v24.4s, v7.4s, v2.s[0] \n"
"fmla v25.4s, v7.4s, v2.s[1] \n"
"fmla v26.4s, v7.4s, v2.s[2] \n"
"fmla v27.4s, v7.4s, v2.s[3] \n"
"fmla v28.4s, v7.4s, v3.s[0] \n"
"fmla v29.4s, v7.4s, v3.s[1] \n"
"fmla v30.4s, v7.4s, v3.s[2] \n"
"fmla v31.4s, v7.4s, v3.s[3] \n"
"bne 0b \n"
"st1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%1], #64 \n"
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%2], #64 \n"
"st1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%1], #64 \n"
"st1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%2], #64 \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
"st1 {v28.4s, v29.4s, v30.4s, v31.4s}, [%2], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31");
}
for (; i + 7 < tiles; i += 8)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"eor v24.16b, v24.16b, v24.16b \n"
"eor v25.16b, v25.16b, v25.16b \n"
"eor v26.16b, v26.16b, v26.16b \n"
"eor v27.16b, v27.16b, v27.16b \n"
"eor v28.16b, v28.16b, v28.16b \n"
"eor v29.16b, v29.16b, v29.16b \n"
"eor v30.16b, v30.16b, v30.16b \n"
"eor v31.16b, v31.16b, v31.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n" // r0 r1 r2 r3
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%4], #64 \n" // w0011_01
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%3], #64 \n" // r4 r5 r6 r7
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v8.4s, v2.s[0] \n"
"fmla v19.4s, v8.4s, v3.s[0] \n"
"fmla v20.4s, v8.4s, v4.s[0] \n"
"fmla v21.4s, v8.4s, v5.s[0] \n"
"fmla v22.4s, v8.4s, v6.s[0] \n"
"fmla v23.4s, v8.4s, v7.s[0] \n"
"fmla v24.4s, v9.4s, v0.s[0] \n"
"fmla v25.4s, v9.4s, v1.s[0] \n"
"fmla v26.4s, v9.4s, v2.s[0] \n"
"fmla v27.4s, v9.4s, v3.s[0] \n"
"fmla v28.4s, v9.4s, v4.s[0] \n"
"fmla v29.4s, v9.4s, v5.s[0] \n"
"fmla v30.4s, v9.4s, v6.s[0] \n"
"fmla v31.4s, v9.4s, v7.s[0] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%4], #64 \n" // w2233_01
"fmla v16.4s, v10.4s, v0.s[1] \n"
"fmla v17.4s, v10.4s, v1.s[1] \n"
"fmla v18.4s, v10.4s, v2.s[1] \n"
"fmla v19.4s, v10.4s, v3.s[1] \n"
"fmla v20.4s, v10.4s, v4.s[1] \n"
"fmla v21.4s, v10.4s, v5.s[1] \n"
"fmla v22.4s, v10.4s, v6.s[1] \n"
"fmla v23.4s, v10.4s, v7.s[1] \n"
"fmla v24.4s, v11.4s, v0.s[1] \n"
"fmla v25.4s, v11.4s, v1.s[1] \n"
"fmla v26.4s, v11.4s, v2.s[1] \n"
"fmla v27.4s, v11.4s, v3.s[1] \n"
"fmla v28.4s, v11.4s, v4.s[1] \n"
"fmla v29.4s, v11.4s, v5.s[1] \n"
"fmla v30.4s, v11.4s, v6.s[1] \n"
"fmla v31.4s, v11.4s, v7.s[1] \n"
"fmla v16.4s, v12.4s, v0.s[2] \n"
"fmla v17.4s, v12.4s, v1.s[2] \n"
"fmla v18.4s, v12.4s, v2.s[2] \n"
"fmla v19.4s, v12.4s, v3.s[2] \n"
"fmla v20.4s, v12.4s, v4.s[2] \n"
"fmla v21.4s, v12.4s, v5.s[2] \n"
"fmla v22.4s, v12.4s, v6.s[2] \n"
"fmla v23.4s, v12.4s, v7.s[2] \n"
"fmla v24.4s, v13.4s, v0.s[2] \n"
"fmla v25.4s, v13.4s, v1.s[2] \n"
"fmla v26.4s, v13.4s, v2.s[2] \n"
"fmla v27.4s, v13.4s, v3.s[2] \n"
"fmla v28.4s, v13.4s, v4.s[2] \n"
"fmla v29.4s, v13.4s, v5.s[2] \n"
"fmla v30.4s, v13.4s, v6.s[2] \n"
"fmla v31.4s, v13.4s, v7.s[2] \n"
"fmla v16.4s, v14.4s, v0.s[3] \n"
"fmla v17.4s, v14.4s, v1.s[3] \n"
"fmla v18.4s, v14.4s, v2.s[3] \n"
"fmla v19.4s, v14.4s, v3.s[3] \n"
"fmla v20.4s, v14.4s, v4.s[3] \n"
"fmla v21.4s, v14.4s, v5.s[3] \n"
"fmla v22.4s, v14.4s, v6.s[3] \n"
"fmla v23.4s, v14.4s, v7.s[3] \n"
"subs %w0, %w0, #1 \n"
"fmla v24.4s, v15.4s, v0.s[3] \n"
"fmla v25.4s, v15.4s, v1.s[3] \n"
"fmla v26.4s, v15.4s, v2.s[3] \n"
"fmla v27.4s, v15.4s, v3.s[3] \n"
"fmla v28.4s, v15.4s, v4.s[3] \n"
"fmla v29.4s, v15.4s, v5.s[3] \n"
"fmla v30.4s, v15.4s, v6.s[3] \n"
"fmla v31.4s, v15.4s, v7.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
"st1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%2], #64 \n"
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%1], #64 \n"
"st1 {v28.4s, v29.4s, v30.4s, v31.4s}, [%2], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31");
}
for (; i + 3 < tiles; i += 4)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n" // r0 r1 r2 r3
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%4], #64 \n" // w0011_01
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v8.4s, v2.s[0] \n"
"fmla v19.4s, v8.4s, v3.s[0] \n"
"fmla v20.4s, v9.4s, v0.s[0] \n"
"fmla v21.4s, v9.4s, v1.s[0] \n"
"fmla v22.4s, v9.4s, v2.s[0] \n"
"fmla v23.4s, v9.4s, v3.s[0] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%4], #64 \n" // w2233_01
"fmla v16.4s, v10.4s, v0.s[1] \n"
"fmla v17.4s, v10.4s, v1.s[1] \n"
"fmla v18.4s, v10.4s, v2.s[1] \n"
"fmla v19.4s, v10.4s, v3.s[1] \n"
"fmla v20.4s, v11.4s, v0.s[1] \n"
"fmla v21.4s, v11.4s, v1.s[1] \n"
"fmla v22.4s, v11.4s, v2.s[1] \n"
"fmla v23.4s, v11.4s, v3.s[1] \n"
"fmla v16.4s, v12.4s, v0.s[2] \n"
"fmla v17.4s, v12.4s, v1.s[2] \n"
"fmla v18.4s, v12.4s, v2.s[2] \n"
"fmla v19.4s, v12.4s, v3.s[2] \n"
"fmla v20.4s, v13.4s, v0.s[2] \n"
"fmla v21.4s, v13.4s, v1.s[2] \n"
"fmla v22.4s, v13.4s, v2.s[2] \n"
"fmla v23.4s, v13.4s, v3.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v14.4s, v0.s[3] \n"
"fmla v17.4s, v14.4s, v1.s[3] \n"
"fmla v18.4s, v14.4s, v2.s[3] \n"
"fmla v19.4s, v14.4s, v3.s[3] \n"
"fmla v20.4s, v15.4s, v0.s[3] \n"
"fmla v21.4s, v15.4s, v1.s[3] \n"
"fmla v22.4s, v15.4s, v2.s[3] \n"
"fmla v23.4s, v15.4s, v3.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%2], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v1", "v2", "v3", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23");
}
for (; i + 1 < tiles; i += 2)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v0.4s, v1.4s}, [%3], #32 \n" // r0 r1
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%4], #64 \n" // w0011_01
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v9.4s, v0.s[0] \n"
"fmla v19.4s, v9.4s, v1.s[0] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%4], #64 \n" // w2233_01
"fmla v16.4s, v10.4s, v0.s[1] \n"
"fmla v17.4s, v10.4s, v1.s[1] \n"
"fmla v18.4s, v11.4s, v0.s[1] \n"
"fmla v19.4s, v11.4s, v1.s[1] \n"
"fmla v16.4s, v12.4s, v0.s[2] \n"
"fmla v17.4s, v12.4s, v1.s[2] \n"
"fmla v18.4s, v13.4s, v0.s[2] \n"
"fmla v19.4s, v13.4s, v1.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v14.4s, v0.s[3] \n"
"fmla v17.4s, v14.4s, v1.s[3] \n"
"fmla v18.4s, v15.4s, v0.s[3] \n"
"fmla v19.4s, v15.4s, v1.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s}, [%1], #32 \n"
"st1 {v18.4s, v19.4s}, [%2], #32 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v1", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19");
}
for (; i < tiles; i++)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v0.4s}, [%3], #16 \n" // r0
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%4], #64 \n" // w0011_01
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v9.4s, v0.s[0] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%4], #64 \n" // w2233_01
"fmla v16.4s, v10.4s, v0.s[1] \n"
"fmla v17.4s, v11.4s, v0.s[1] \n"
"fmla v16.4s, v12.4s, v0.s[2] \n"
"fmla v17.4s, v13.4s, v0.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v14.4s, v0.s[3] \n"
"fmla v17.4s, v15.4s, v0.s[3] \n"
"bne 0b \n"
"st1 {v16.4s}, [%1], #16 \n"
"st1 {v17.4s}, [%2], #16 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17");
}
}
}
#endif // __ARM_NEON && __aarch64__
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = remain_outch_start; p < outch; p++)
{
float* output0_tm = top_blob_tm.channel(p);
#if __aarch64__
const Mat kernel0_tm = kernel_tm.channel(p / 2 + p % 2);
#else
const Mat kernel0_tm = kernel_tm.channel(p);
#endif
for (int r = 0; r < 64; r++)
{
const Mat bb2 = bottom_blob_tm2.channel(r);
int i = 0;
#if __aarch64__
for (; i + 11 < tiles; i += 12)
{
const float* r0 = bb2.row(i / 12);
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v8.16b, v8.16b, v8.16b \n"
"eor v9.16b, v9.16b, v9.16b \n"
"eor v10.16b, v10.16b, v10.16b \n"
"eor v11.16b, v11.16b, v11.16b \n"
"eor v12.16b, v12.16b, v12.16b \n"
"eor v13.16b, v13.16b, v13.16b \n"
"eor v14.16b, v14.16b, v14.16b \n"
"eor v15.16b, v15.16b, v15.16b \n"
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%2], #64 \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%3], #64 \n" // w0123_0
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v9.4s, v4.4s, v0.s[1] \n"
"fmla v10.4s, v4.4s, v0.s[2] \n"
"fmla v11.4s, v4.4s, v0.s[3] \n"
"fmla v12.4s, v4.4s, v1.s[0] \n"
"fmla v13.4s, v4.4s, v1.s[1] \n"
"fmla v14.4s, v4.4s, v1.s[2] \n"
"fmla v15.4s, v4.4s, v1.s[3] \n"
"fmla v16.4s, v4.4s, v2.s[0] \n"
"fmla v17.4s, v4.4s, v2.s[1] \n"
"fmla v18.4s, v4.4s, v2.s[2] \n"
"fmla v19.4s, v4.4s, v2.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%2], #64 \n"
"fmla v8.4s, v5.4s, v3.s[0] \n"
"fmla v9.4s, v5.4s, v3.s[1] \n"
"fmla v10.4s, v5.4s, v3.s[2] \n"
"fmla v11.4s, v5.4s, v3.s[3] \n"
"fmla v12.4s, v5.4s, v20.s[0] \n"
"fmla v13.4s, v5.4s, v20.s[1] \n"
"fmla v14.4s, v5.4s, v20.s[2] \n"
"fmla v15.4s, v5.4s, v20.s[3] \n"
"fmla v16.4s, v5.4s, v21.s[0] \n"
"fmla v17.4s, v5.4s, v21.s[1] \n"
"fmla v18.4s, v5.4s, v21.s[2] \n"
"fmla v19.4s, v5.4s, v21.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%2], #64 \n"
"fmla v8.4s, v6.4s, v22.s[0] \n"
"fmla v9.4s, v6.4s, v22.s[1] \n"
"fmla v10.4s, v6.4s, v22.s[2] \n"
"fmla v11.4s, v6.4s, v22.s[3] \n"
"fmla v12.4s, v6.4s, v23.s[0] \n"
"fmla v13.4s, v6.4s, v23.s[1] \n"
"fmla v14.4s, v6.4s, v23.s[2] \n"
"fmla v15.4s, v6.4s, v23.s[3] \n"
"fmla v16.4s, v6.4s, v24.s[0] \n"
"fmla v17.4s, v6.4s, v24.s[1] \n"
"fmla v18.4s, v6.4s, v24.s[2] \n"
"fmla v19.4s, v6.4s, v24.s[3] \n"
"subs %w0, %w0, #1 \n"
"fmla v8.4s, v7.4s, v25.s[0] \n"
"fmla v9.4s, v7.4s, v25.s[1] \n"
"fmla v10.4s, v7.4s, v25.s[2] \n"
"fmla v11.4s, v7.4s, v25.s[3] \n"
"fmla v12.4s, v7.4s, v26.s[0] \n"
"fmla v13.4s, v7.4s, v26.s[1] \n"
"fmla v14.4s, v7.4s, v26.s[2] \n"
"fmla v15.4s, v7.4s, v26.s[3] \n"
"fmla v16.4s, v7.4s, v27.s[0] \n"
"fmla v17.4s, v7.4s, v27.s[1] \n"
"fmla v18.4s, v7.4s, v27.s[2] \n"
"fmla v19.4s, v7.4s, v27.s[3] \n"
"bne 0b \n"
"st1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%1], #64 \n"
"st1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%1], #64 \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27");
}
#endif
for (; i + 7 < tiles; i += 8)
{
#if __aarch64__
const float* r0 = bb2.row(i / 12 + (i % 12) / 8);
#else
const float* r0 = bb2.row(i / 8);
#endif
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
#if __aarch64__
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%2], #64 \n" // r0 r1 r2 r3
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%3], #64 \n" // w0123
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v8.4s, v2.s[0] \n"
"fmla v19.4s, v8.4s, v3.s[0] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%2], #64 \n" // r4 r5 r6 r7
"fmla v20.4s, v8.4s, v4.s[0] \n"
"fmla v21.4s, v8.4s, v5.s[0] \n"
"fmla v22.4s, v8.4s, v6.s[0] \n"
"fmla v23.4s, v8.4s, v7.s[0] \n"
"fmla v16.4s, v9.4s, v0.s[1] \n"
"fmla v17.4s, v9.4s, v1.s[1] \n"
"fmla v18.4s, v9.4s, v2.s[1] \n"
"fmla v19.4s, v9.4s, v3.s[1] \n"
"fmla v20.4s, v9.4s, v4.s[1] \n"
"fmla v21.4s, v9.4s, v5.s[1] \n"
"fmla v22.4s, v9.4s, v6.s[1] \n"
"fmla v23.4s, v9.4s, v7.s[1] \n"
"fmla v16.4s, v10.4s, v0.s[2] \n"
"fmla v17.4s, v10.4s, v1.s[2] \n"
"fmla v18.4s, v10.4s, v2.s[2] \n"
"fmla v19.4s, v10.4s, v3.s[2] \n"
"fmla v20.4s, v10.4s, v4.s[2] \n"
"fmla v21.4s, v10.4s, v5.s[2] \n"
"fmla v22.4s, v10.4s, v6.s[2] \n"
"fmla v23.4s, v10.4s, v7.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v11.4s, v0.s[3] \n"
"fmla v17.4s, v11.4s, v1.s[3] \n"
"fmla v18.4s, v11.4s, v2.s[3] \n"
"fmla v19.4s, v11.4s, v3.s[3] \n"
"fmla v20.4s, v11.4s, v4.s[3] \n"
"fmla v21.4s, v11.4s, v5.s[3] \n"
"fmla v22.4s, v11.4s, v6.s[3] \n"
"fmla v23.4s, v11.4s, v7.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%1], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23");
#else
asm volatile(
"veor q8, q8 \n"
"veor q9, q9 \n"
"veor q10, q10 \n"
"veor q11, q11 \n"
"veor q12, q12 \n"
"veor q13, q13 \n"
"veor q14, q14 \n"
"veor q15, q15 \n"
"0: \n"
"pld [%2, #512] \n"
"vldm %2!, {d0-d7} \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q9, q4, d0[1] \n"
"vmla.f32 q10, q4, d1[0] \n"
"vmla.f32 q11, q4, d1[1] \n"
"vmla.f32 q12, q4, d2[0] \n"
"vmla.f32 q13, q4, d2[1] \n"
"vmla.f32 q14, q4, d3[0] \n"
"vmla.f32 q15, q4, d3[1] \n"
"vmla.f32 q8, q5, d4[0] \n"
"vmla.f32 q9, q5, d4[1] \n"
"vmla.f32 q10, q5, d5[0] \n"
"vmla.f32 q11, q5, d5[1] \n"
"vmla.f32 q12, q5, d6[0] \n"
"vmla.f32 q13, q5, d6[1] \n"
"vmla.f32 q14, q5, d7[0] \n"
"vmla.f32 q15, q5, d7[1] \n"
"pld [%2, #512] \n"
"vldm %2!, {d0-d7} \n"
"vmla.f32 q8, q6, d0[0] \n"
"vmla.f32 q9, q6, d0[1] \n"
"vmla.f32 q10, q6, d1[0] \n"
"vmla.f32 q11, q6, d1[1] \n"
"vmla.f32 q12, q6, d2[0] \n"
"vmla.f32 q13, q6, d2[1] \n"
"vmla.f32 q14, q6, d3[0] \n"
"vmla.f32 q15, q6, d3[1] \n"
"subs %0, %0, #1 \n"
"vmla.f32 q8, q7, d4[0] \n"
"vmla.f32 q9, q7, d4[1] \n"
"vmla.f32 q10, q7, d5[0] \n"
"vmla.f32 q11, q7, d5[1] \n"
"vmla.f32 q12, q7, d6[0] \n"
"vmla.f32 q13, q7, d6[1] \n"
"vmla.f32 q14, q7, d7[0] \n"
"vmla.f32 q15, q7, d7[1] \n"
"bne 0b \n"
"vstm %1!, {d16-d23} \n"
"vstm %1!, {d24-d31} \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif
}
for (; i + 3 < tiles; i += 4)
{
#if __aarch64__
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
#else
const float* r0 = bb2.row(i / 8 + (i % 8) / 4);
#endif
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
#if __aarch64__
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%2], #64 \n" // r0 r1 r2 r3
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%3], #64 \n" // w0123
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v8.4s, v2.s[0] \n"
"fmla v19.4s, v8.4s, v3.s[0] \n"
"fmla v16.4s, v9.4s, v0.s[1] \n"
"fmla v17.4s, v9.4s, v1.s[1] \n"
"fmla v18.4s, v9.4s, v2.s[1] \n"
"fmla v19.4s, v9.4s, v3.s[1] \n"
"fmla v16.4s, v10.4s, v0.s[2] \n"
"fmla v17.4s, v10.4s, v1.s[2] \n"
"fmla v18.4s, v10.4s, v2.s[2] \n"
"fmla v19.4s, v10.4s, v3.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v11.4s, v0.s[3] \n"
"fmla v17.4s, v11.4s, v1.s[3] \n"
"fmla v18.4s, v11.4s, v2.s[3] \n"
"fmla v19.4s, v11.4s, v3.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v1", "v2", "v3", "v8", "v9", "v10", "v11", "v16", "v17", "v18", "v19");
#else
asm volatile(
"veor q8, q8 \n"
"veor q9, q9 \n"
"veor q10, q10 \n"
"veor q11, q11 \n"
"0: \n"
"pld [%2, #512] \n"
"vldm %2!, {d0-d7} \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q9, q4, d2[0] \n"
"vmla.f32 q10, q4, d4[0] \n"
"vmla.f32 q11, q4, d6[0] \n"
"vmla.f32 q8, q5, d0[1] \n"
"vmla.f32 q9, q5, d2[1] \n"
"vmla.f32 q10, q5, d4[1] \n"
"vmla.f32 q11, q5, d6[1] \n"
"vmla.f32 q8, q6, d1[0] \n"
"vmla.f32 q9, q6, d3[0] \n"
"vmla.f32 q10, q6, d5[0] \n"
"vmla.f32 q11, q6, d7[0] \n"
"subs %0, %0, #1 \n"
"vmla.f32 q8, q7, d1[1] \n"
"vmla.f32 q9, q7, d3[1] \n"
"vmla.f32 q10, q7, d5[1] \n"
"vmla.f32 q11, q7, d7[1] \n"
"bne 0b \n"
"vstm %1!, {d16-d23} \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11");
#endif
}
for (; i + 1 < tiles; i += 2)
{
#if __aarch64__
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
#else
const float* r0 = bb2.row(i / 8 + (i % 8) / 4 + (i % 4) / 2);
#endif
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
#if __aarch64__
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v0.4s, v1.4s}, [%2], #32 \n" // r0 r1
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%3], #64 \n" // w0123
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v16.4s, v9.4s, v0.s[1] \n"
"fmla v17.4s, v9.4s, v1.s[1] \n"
"fmla v16.4s, v10.4s, v0.s[2] \n"
"fmla v17.4s, v10.4s, v1.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v11.4s, v0.s[3] \n"
"fmla v17.4s, v11.4s, v1.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s}, [%1], #32 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v1", "v8", "v9", "v10", "v11", "v16", "v17");
#else
asm volatile(
"veor q8, q8 \n"
"veor q9, q9 \n"
"0: \n"
"pld [%2, #256] \n"
"vld1.f32 {d0-d3}, [%2 :128]! \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q9, q4, d2[0] \n"
"vmla.f32 q8, q5, d0[1] \n"
"vmla.f32 q9, q5, d2[1] \n"
"vmla.f32 q8, q6, d1[0] \n"
"vmla.f32 q9, q6, d3[0] \n"
"subs %0, %0, #1 \n"
"vmla.f32 q8, q7, d1[1] \n"
"vmla.f32 q9, q7, d3[1] \n"
"bne 0b \n"
"vst1.f32 {d16-d19}, [%1 :128]! \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "q0", "q1", "q4", "q5", "q6", "q7", "q8", "q9");
#endif
}
for (; i < tiles; i++)
{
#if __aarch64__
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
#else
const float* r0 = bb2.row(i / 8 + (i % 8) / 4 + (i % 4) / 2 + i % 2);
#endif
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
#if __aarch64__
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v0.4s}, [%2], #16 \n" // r0
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%3], #64 \n" // w0123
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v16.4s, v9.4s, v0.s[1] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v10.4s, v0.s[2] \n"
"fmla v16.4s, v11.4s, v0.s[3] \n"
"bne 0b \n"
"st1 {v16.4s}, [%1], #16 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v8", "v9", "v10", "v11", "v16");
#else
asm volatile(
"veor q8, q8 \n"
"0: \n"
"pld [%2, #128] \n"
"vld1.f32 {d0-d1}, [%2 :128]! \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q8, q5, d0[1] \n"
"subs %0, %0, #1 \n"
"vmla.f32 q8, q6, d1[0] \n"
"vmla.f32 q8, q7, d1[1] \n"
"bne 0b \n"
"vst1.f32 {d16-d17}, [%1 :128]! \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "q0", "q4", "q5", "q6", "q7", "q8");
#endif
}
}
}
}
bottom_blob_tm = Mat();
// END dot
// BEGIN transform output
Mat top_blob_bordered;
if (outw == top_blob.w && outh == top_blob.h)
{
top_blob_bordered = top_blob;
}
else
{
top_blob_bordered.create(outw, outh, outch, elemsize, elempack, opt.workspace_allocator);
}
{
conv3x3s1_winograd63_transform_output_pack4_bf16s_neon(top_blob_tm, top_blob_bordered, bias, opt);
}
// END transform output
// cut result pad
copy_cut_border(top_blob_bordered, top_blob, 0, top_blob_bordered.h - top_blob.h, 0, top_blob_bordered.w - top_blob.w, opt);
}
static void conv3x3s1_winograd43_pack4_bf16s_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel_tm, const Mat& bias, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
size_t elemsize = bottom_blob.elemsize;
int elempack = bottom_blob.elempack;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
// pad to 4n+2
Mat bottom_blob_bordered = bottom_blob;
outw = (outw + 3) / 4 * 4;
outh = (outh + 3) / 4 * 4;
w = outw + 2;
h = outh + 2;
copy_make_border(bottom_blob, bottom_blob_bordered, 0, h - bottom_blob.h, 0, w - bottom_blob.w, BORDER_CONSTANT, 0.f, opt);
// BEGIN transform input
Mat bottom_blob_tm;
{
int w_tiles = outw / 4;
int h_tiles = outh / 4;
const int tiles = w_tiles * h_tiles;
bottom_blob_tm.create(tiles, 36, inch, 16u, elempack, opt.workspace_allocator);
conv3x3s1_winograd43_transform_input_pack4_bf16s_neon(bottom_blob_bordered, bottom_blob_tm, opt);
}
bottom_blob_bordered = Mat();
// END transform input
// BEGIN dot
Mat top_blob_tm;
{
int w_tm = outw / 4 * 6;
int h_tm = outh / 4 * 6;
const int tiles = h_tm / 6 * w_tm / 6;
// permute
// bottom_blob_tm.create(tiles, 36, inch, 4u * elempack, elempack, opt.workspace_allocator);
Mat bottom_blob_tm2;
#if __aarch64__
if (tiles >= 12)
bottom_blob_tm2.create(12 * inch, tiles / 12 + (tiles % 12) / 8 + (tiles % 12 % 8) / 4 + (tiles % 12 % 4) / 2 + tiles % 12 % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 8)
bottom_blob_tm2.create(8 * inch, tiles / 8 + (tiles % 8) / 4 + (tiles % 4) / 2 + tiles % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 4)
bottom_blob_tm2.create(4 * inch, tiles / 4 + (tiles % 4) / 2 + tiles % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 2)
bottom_blob_tm2.create(2 * inch, tiles / 2 + tiles % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else // if (tiles >= 1)
bottom_blob_tm2.create(1 * inch, tiles, 36, 4u * elempack, elempack, opt.workspace_allocator);
#else
if (tiles >= 8)
bottom_blob_tm2.create(8 * inch, tiles / 8 + (tiles % 8) / 4 + (tiles % 4) / 2 + tiles % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 4)
bottom_blob_tm2.create(4 * inch, tiles / 4 + (tiles % 4) / 2 + tiles % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 2)
bottom_blob_tm2.create(2 * inch, tiles / 2 + tiles % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else // if (tiles >= 1)
bottom_blob_tm2.create(1 * inch, tiles, 36, 4u * elempack, elempack, opt.workspace_allocator);
#endif
#pragma omp parallel for num_threads(opt.num_threads)
for (int r = 0; r < 36; r++)
{
Mat tm2 = bottom_blob_tm2.channel(r);
// tile
int i = 0;
#if __aarch64__
for (; i + 11 < tiles; i += 12)
{
float* tm2p = tm2.row(i / 12);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld4 {v0.4s, v1.4s, v2.4s, v3.4s}, [%0], #64 \n"
"prfm pldl1keep, [%0, #512] \n"
"ld4 {v4.4s, v5.4s, v6.4s, v7.4s}, [%0], #64 \n"
"prfm pldl1keep, [%0, #512] \n"
"ld4 {v8.4s, v9.4s, v10.4s, v11.4s}, [%0] \n"
"st1 {v0.4s}, [%1], #16 \n"
"st1 {v4.4s}, [%1], #16 \n"
"st1 {v8.4s}, [%1], #16 \n"
"sub %0, %0, #128 \n"
"st1 {v1.4s}, [%1], #16 \n"
"st1 {v5.4s}, [%1], #16 \n"
"st1 {v9.4s}, [%1], #16 \n"
"st1 {v2.4s}, [%1], #16 \n"
"st1 {v6.4s}, [%1], #16 \n"
"st1 {v10.4s}, [%1], #16 \n"
"st1 {v3.4s}, [%1], #16 \n"
"st1 {v7.4s}, [%1], #16 \n"
"st1 {v11.4s}, [%1], #16 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11");
r0 += bottom_blob_tm.cstep * 4;
}
}
#endif
for (; i + 7 < tiles; i += 8)
{
#if __aarch64__
float* tm2p = tm2.row(i / 12 + (i % 12) / 8);
#else
float* tm2p = tm2.row(i / 8);
#endif
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%0], #64 \n"
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%0] \n"
"st1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%1], #64 \n"
"sub %0, %0, #64 \n"
"st1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%1], #64 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7");
#else
asm volatile(
"pld [%0, #512] \n"
"vldm %0!, {d0-d7} \n"
"pld [%0, #512] \n"
"vldm %0, {d16-d23} \n"
// transpose 8x4
"vtrn.32 q0, q1 \n"
"vtrn.32 q2, q3 \n"
"vtrn.32 q8, q9 \n"
"vtrn.32 q10, q11 \n"
"vswp d1, d4 \n"
"vswp d3, d6 \n"
"vswp d17, d20 \n"
"vswp d19, d22 \n"
"vswp q1, q8 \n"
"vswp q3, q10 \n"
"vst1.f32 {d0-d3}, [%1 :128]! \n"
"vst1.f32 {d16-d19}, [%1 :128]! \n"
"sub %0, %0, #64 \n"
"vst1.f32 {d4-d7}, [%1 :128]! \n"
"vst1.f32 {d20-d23}, [%1 :128]! \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "q0", "q1", "q2", "q3", "q8", "q9", "q10", "q11");
#endif
r0 += bottom_blob_tm.cstep * 4;
}
}
for (; i + 3 < tiles; i += 4)
{
#if __aarch64__
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
#else
float* tm2p = tm2.row(i / 8 + (i % 8) / 4);
#endif
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%0] \n"
"st1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%1], #64 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0", "v1", "v2", "v3");
#else
asm volatile(
"pld [%0, #512] \n"
"vldm %0, {d0-d7} \n"
"vstm %1!, {d0-d7} \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "q0", "q1", "q2", "q3");
#endif // __aarch64__
r0 += bottom_blob_tm.cstep * 4;
}
}
for (; i + 1 < tiles; i += 2)
{
#if __aarch64__
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
#else
float* tm2p = tm2.row(i / 8 + (i % 8) / 4 + (i % 4) / 2);
#endif
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #256] \n"
"ld1 {v0.4s, v1.4s}, [%0] \n"
"st1 {v0.4s, v1.4s}, [%1], #32 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0", "v1");
#else
asm volatile(
"pld [%0, #256] \n"
"vld1.f32 {d0-d3}, [%0 :128] \n"
"vst1.f32 {d0-d3}, [%1 :128]! \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "q0", "q1");
#endif // __aarch64__
r0 += bottom_blob_tm.cstep * 4;
}
}
for (; i < tiles; i++)
{
#if __aarch64__
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
#else
float* tm2p = tm2.row(i / 8 + (i % 8) / 4 + (i % 4) / 2 + i % 2);
#endif
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #128] \n"
"ld1 {v0.4s}, [%0] \n"
"st1 {v0.4s}, [%1], #16 \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "v0");
#else
asm volatile(
"pld [%0, #128] \n"
"vld1.f32 {d0-d1}, [%0 :128] \n"
"vst1.f32 {d0-d1}, [%1 :128]! \n"
: "=r"(r0), // %0
"=r"(tm2p) // %1
: "0"(r0),
"1"(tm2p)
: "memory", "q0");
#endif // __aarch64__
r0 += bottom_blob_tm.cstep * 4;
}
}
}
bottom_blob_tm = Mat();
// permute end
top_blob_tm.create(tiles, 36, outch, 4u * elempack, elempack, opt.workspace_allocator);
int remain_outch_start = 0;
#if __ARM_NEON && __aarch64__
int nn_outch = 0;
nn_outch = outch >> 1;
remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp = 0; pp < nn_outch; pp++)
{
int p = pp * 2;
float* output0_tm = top_blob_tm.channel(p);
float* output1_tm = top_blob_tm.channel(p + 1);
const Mat kernel01_tm = kernel_tm.channel(pp);
for (int r = 0; r < 36; r++)
{
const Mat bb2 = bottom_blob_tm2.channel(r);
int i = 0;
for (; i + 11 < tiles; i += 12)
{
const float* r0 = bb2.row(i / 12);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v8.16b, v8.16b, v8.16b \n"
"eor v9.16b, v9.16b, v9.16b \n"
"eor v10.16b, v10.16b, v10.16b \n"
"eor v11.16b, v11.16b, v11.16b \n"
"eor v12.16b, v12.16b, v12.16b \n"
"eor v13.16b, v13.16b, v13.16b \n"
"eor v14.16b, v14.16b, v14.16b \n"
"eor v15.16b, v15.16b, v15.16b \n"
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"eor v24.16b, v24.16b, v24.16b \n"
"eor v25.16b, v25.16b, v25.16b \n"
"eor v26.16b, v26.16b, v26.16b \n"
"eor v27.16b, v27.16b, v27.16b \n"
"eor v28.16b, v28.16b, v28.16b \n"
"eor v29.16b, v29.16b, v29.16b \n"
"eor v30.16b, v30.16b, v30.16b \n"
"eor v31.16b, v31.16b, v31.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%4], #64 \n" // w0011_01
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v9.4s, v4.4s, v0.s[1] \n"
"fmla v10.4s, v4.4s, v0.s[2] \n"
"fmla v11.4s, v4.4s, v0.s[3] \n"
"fmla v12.4s, v4.4s, v1.s[0] \n"
"fmla v13.4s, v4.4s, v1.s[1] \n"
"fmla v14.4s, v4.4s, v1.s[2] \n"
"fmla v15.4s, v4.4s, v1.s[3] \n"
"fmla v16.4s, v4.4s, v2.s[0] \n"
"fmla v17.4s, v4.4s, v2.s[1] \n"
"fmla v18.4s, v4.4s, v2.s[2] \n"
"fmla v19.4s, v4.4s, v2.s[3] \n"
"fmla v20.4s, v5.4s, v0.s[0] \n"
"fmla v21.4s, v5.4s, v0.s[1] \n"
"fmla v22.4s, v5.4s, v0.s[2] \n"
"fmla v23.4s, v5.4s, v0.s[3] \n"
"fmla v24.4s, v5.4s, v1.s[0] \n"
"fmla v25.4s, v5.4s, v1.s[1] \n"
"fmla v26.4s, v5.4s, v1.s[2] \n"
"fmla v27.4s, v5.4s, v1.s[3] \n"
"fmla v28.4s, v5.4s, v2.s[0] \n"
"fmla v29.4s, v5.4s, v2.s[1] \n"
"fmla v30.4s, v5.4s, v2.s[2] \n"
"fmla v31.4s, v5.4s, v2.s[3] \n"
"fmla v8.4s, v6.4s, v3.s[0] \n"
"fmla v9.4s, v6.4s, v3.s[1] \n"
"fmla v10.4s, v6.4s, v3.s[2] \n"
"fmla v11.4s, v6.4s, v3.s[3] \n"
"fmla v20.4s, v7.4s, v3.s[0] \n"
"fmla v21.4s, v7.4s, v3.s[1] \n"
"fmla v22.4s, v7.4s, v3.s[2] \n"
"fmla v23.4s, v7.4s, v3.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n"
"fmla v12.4s, v6.4s, v0.s[0] \n"
"fmla v13.4s, v6.4s, v0.s[1] \n"
"fmla v14.4s, v6.4s, v0.s[2] \n"
"fmla v15.4s, v6.4s, v0.s[3] \n"
"fmla v16.4s, v6.4s, v1.s[0] \n"
"fmla v17.4s, v6.4s, v1.s[1] \n"
"fmla v18.4s, v6.4s, v1.s[2] \n"
"fmla v19.4s, v6.4s, v1.s[3] \n"
"fmla v24.4s, v7.4s, v0.s[0] \n"
"fmla v25.4s, v7.4s, v0.s[1] \n"
"fmla v26.4s, v7.4s, v0.s[2] \n"
"fmla v27.4s, v7.4s, v0.s[3] \n"
"fmla v28.4s, v7.4s, v1.s[0] \n"
"fmla v29.4s, v7.4s, v1.s[1] \n"
"fmla v30.4s, v7.4s, v1.s[2] \n"
"fmla v31.4s, v7.4s, v1.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%4], #64 \n" // w2233_01
"fmla v8.4s, v4.4s, v2.s[0] \n"
"fmla v9.4s, v4.4s, v2.s[1] \n"
"fmla v10.4s, v4.4s, v2.s[2] \n"
"fmla v11.4s, v4.4s, v2.s[3] \n"
"fmla v12.4s, v4.4s, v3.s[0] \n"
"fmla v13.4s, v4.4s, v3.s[1] \n"
"fmla v14.4s, v4.4s, v3.s[2] \n"
"fmla v15.4s, v4.4s, v3.s[3] \n"
"fmla v20.4s, v5.4s, v2.s[0] \n"
"fmla v21.4s, v5.4s, v2.s[1] \n"
"fmla v22.4s, v5.4s, v2.s[2] \n"
"fmla v23.4s, v5.4s, v2.s[3] \n"
"fmla v24.4s, v5.4s, v3.s[0] \n"
"fmla v25.4s, v5.4s, v3.s[1] \n"
"fmla v26.4s, v5.4s, v3.s[2] \n"
"fmla v27.4s, v5.4s, v3.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n"
"fmla v16.4s, v4.4s, v0.s[0] \n"
"fmla v17.4s, v4.4s, v0.s[1] \n"
"fmla v18.4s, v4.4s, v0.s[2] \n"
"fmla v19.4s, v4.4s, v0.s[3] \n"
"fmla v28.4s, v5.4s, v0.s[0] \n"
"fmla v29.4s, v5.4s, v0.s[1] \n"
"fmla v30.4s, v5.4s, v0.s[2] \n"
"fmla v31.4s, v5.4s, v0.s[3] \n"
"fmla v8.4s, v6.4s, v1.s[0] \n"
"fmla v9.4s, v6.4s, v1.s[1] \n"
"fmla v10.4s, v6.4s, v1.s[2] \n"
"fmla v11.4s, v6.4s, v1.s[3] \n"
"fmla v12.4s, v6.4s, v2.s[0] \n"
"fmla v13.4s, v6.4s, v2.s[1] \n"
"fmla v14.4s, v6.4s, v2.s[2] \n"
"fmla v15.4s, v6.4s, v2.s[3] \n"
"fmla v16.4s, v6.4s, v3.s[0] \n"
"fmla v17.4s, v6.4s, v3.s[1] \n"
"fmla v18.4s, v6.4s, v3.s[2] \n"
"fmla v19.4s, v6.4s, v3.s[3] \n"
"subs %w0, %w0, #1 \n"
"fmla v20.4s, v7.4s, v1.s[0] \n"
"fmla v21.4s, v7.4s, v1.s[1] \n"
"fmla v22.4s, v7.4s, v1.s[2] \n"
"fmla v23.4s, v7.4s, v1.s[3] \n"
"fmla v24.4s, v7.4s, v2.s[0] \n"
"fmla v25.4s, v7.4s, v2.s[1] \n"
"fmla v26.4s, v7.4s, v2.s[2] \n"
"fmla v27.4s, v7.4s, v2.s[3] \n"
"fmla v28.4s, v7.4s, v3.s[0] \n"
"fmla v29.4s, v7.4s, v3.s[1] \n"
"fmla v30.4s, v7.4s, v3.s[2] \n"
"fmla v31.4s, v7.4s, v3.s[3] \n"
"bne 0b \n"
"st1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%1], #64 \n"
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%2], #64 \n"
"st1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%1], #64 \n"
"st1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%2], #64 \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
"st1 {v28.4s, v29.4s, v30.4s, v31.4s}, [%2], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31");
}
for (; i + 7 < tiles; i += 8)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"eor v24.16b, v24.16b, v24.16b \n"
"eor v25.16b, v25.16b, v25.16b \n"
"eor v26.16b, v26.16b, v26.16b \n"
"eor v27.16b, v27.16b, v27.16b \n"
"eor v28.16b, v28.16b, v28.16b \n"
"eor v29.16b, v29.16b, v29.16b \n"
"eor v30.16b, v30.16b, v30.16b \n"
"eor v31.16b, v31.16b, v31.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n" // r0 r1 r2 r3
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%4], #64 \n" // w0011_01
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%3], #64 \n" // r4 r5 r6 r7
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v8.4s, v2.s[0] \n"
"fmla v19.4s, v8.4s, v3.s[0] \n"
"fmla v20.4s, v8.4s, v4.s[0] \n"
"fmla v21.4s, v8.4s, v5.s[0] \n"
"fmla v22.4s, v8.4s, v6.s[0] \n"
"fmla v23.4s, v8.4s, v7.s[0] \n"
"fmla v24.4s, v9.4s, v0.s[0] \n"
"fmla v25.4s, v9.4s, v1.s[0] \n"
"fmla v26.4s, v9.4s, v2.s[0] \n"
"fmla v27.4s, v9.4s, v3.s[0] \n"
"fmla v28.4s, v9.4s, v4.s[0] \n"
"fmla v29.4s, v9.4s, v5.s[0] \n"
"fmla v30.4s, v9.4s, v6.s[0] \n"
"fmla v31.4s, v9.4s, v7.s[0] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%4], #64 \n" // w2233_01
"fmla v16.4s, v10.4s, v0.s[1] \n"
"fmla v17.4s, v10.4s, v1.s[1] \n"
"fmla v18.4s, v10.4s, v2.s[1] \n"
"fmla v19.4s, v10.4s, v3.s[1] \n"
"fmla v20.4s, v10.4s, v4.s[1] \n"
"fmla v21.4s, v10.4s, v5.s[1] \n"
"fmla v22.4s, v10.4s, v6.s[1] \n"
"fmla v23.4s, v10.4s, v7.s[1] \n"
"fmla v24.4s, v11.4s, v0.s[1] \n"
"fmla v25.4s, v11.4s, v1.s[1] \n"
"fmla v26.4s, v11.4s, v2.s[1] \n"
"fmla v27.4s, v11.4s, v3.s[1] \n"
"fmla v28.4s, v11.4s, v4.s[1] \n"
"fmla v29.4s, v11.4s, v5.s[1] \n"
"fmla v30.4s, v11.4s, v6.s[1] \n"
"fmla v31.4s, v11.4s, v7.s[1] \n"
"fmla v16.4s, v12.4s, v0.s[2] \n"
"fmla v17.4s, v12.4s, v1.s[2] \n"
"fmla v18.4s, v12.4s, v2.s[2] \n"
"fmla v19.4s, v12.4s, v3.s[2] \n"
"fmla v20.4s, v12.4s, v4.s[2] \n"
"fmla v21.4s, v12.4s, v5.s[2] \n"
"fmla v22.4s, v12.4s, v6.s[2] \n"
"fmla v23.4s, v12.4s, v7.s[2] \n"
"fmla v24.4s, v13.4s, v0.s[2] \n"
"fmla v25.4s, v13.4s, v1.s[2] \n"
"fmla v26.4s, v13.4s, v2.s[2] \n"
"fmla v27.4s, v13.4s, v3.s[2] \n"
"fmla v28.4s, v13.4s, v4.s[2] \n"
"fmla v29.4s, v13.4s, v5.s[2] \n"
"fmla v30.4s, v13.4s, v6.s[2] \n"
"fmla v31.4s, v13.4s, v7.s[2] \n"
"fmla v16.4s, v14.4s, v0.s[3] \n"
"fmla v17.4s, v14.4s, v1.s[3] \n"
"fmla v18.4s, v14.4s, v2.s[3] \n"
"fmla v19.4s, v14.4s, v3.s[3] \n"
"fmla v20.4s, v14.4s, v4.s[3] \n"
"fmla v21.4s, v14.4s, v5.s[3] \n"
"fmla v22.4s, v14.4s, v6.s[3] \n"
"fmla v23.4s, v14.4s, v7.s[3] \n"
"subs %w0, %w0, #1 \n"
"fmla v24.4s, v15.4s, v0.s[3] \n"
"fmla v25.4s, v15.4s, v1.s[3] \n"
"fmla v26.4s, v15.4s, v2.s[3] \n"
"fmla v27.4s, v15.4s, v3.s[3] \n"
"fmla v28.4s, v15.4s, v4.s[3] \n"
"fmla v29.4s, v15.4s, v5.s[3] \n"
"fmla v30.4s, v15.4s, v6.s[3] \n"
"fmla v31.4s, v15.4s, v7.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
"st1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%2], #64 \n"
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%1], #64 \n"
"st1 {v28.4s, v29.4s, v30.4s, v31.4s}, [%2], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31");
}
for (; i + 3 < tiles; i += 4)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n" // r0 r1 r2 r3
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%4], #64 \n" // w0011_01
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v8.4s, v2.s[0] \n"
"fmla v19.4s, v8.4s, v3.s[0] \n"
"fmla v20.4s, v9.4s, v0.s[0] \n"
"fmla v21.4s, v9.4s, v1.s[0] \n"
"fmla v22.4s, v9.4s, v2.s[0] \n"
"fmla v23.4s, v9.4s, v3.s[0] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%4], #64 \n" // w2233_01
"fmla v16.4s, v10.4s, v0.s[1] \n"
"fmla v17.4s, v10.4s, v1.s[1] \n"
"fmla v18.4s, v10.4s, v2.s[1] \n"
"fmla v19.4s, v10.4s, v3.s[1] \n"
"fmla v20.4s, v11.4s, v0.s[1] \n"
"fmla v21.4s, v11.4s, v1.s[1] \n"
"fmla v22.4s, v11.4s, v2.s[1] \n"
"fmla v23.4s, v11.4s, v3.s[1] \n"
"fmla v16.4s, v12.4s, v0.s[2] \n"
"fmla v17.4s, v12.4s, v1.s[2] \n"
"fmla v18.4s, v12.4s, v2.s[2] \n"
"fmla v19.4s, v12.4s, v3.s[2] \n"
"fmla v20.4s, v13.4s, v0.s[2] \n"
"fmla v21.4s, v13.4s, v1.s[2] \n"
"fmla v22.4s, v13.4s, v2.s[2] \n"
"fmla v23.4s, v13.4s, v3.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v14.4s, v0.s[3] \n"
"fmla v17.4s, v14.4s, v1.s[3] \n"
"fmla v18.4s, v14.4s, v2.s[3] \n"
"fmla v19.4s, v14.4s, v3.s[3] \n"
"fmla v20.4s, v15.4s, v0.s[3] \n"
"fmla v21.4s, v15.4s, v1.s[3] \n"
"fmla v22.4s, v15.4s, v2.s[3] \n"
"fmla v23.4s, v15.4s, v3.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%2], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v1", "v2", "v3", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23");
}
for (; i + 1 < tiles; i += 2)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v0.4s, v1.4s}, [%3], #32 \n" // r0 r1
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%4], #64 \n" // w0011_01
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v9.4s, v0.s[0] \n"
"fmla v19.4s, v9.4s, v1.s[0] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%4], #64 \n" // w2233_01
"fmla v16.4s, v10.4s, v0.s[1] \n"
"fmla v17.4s, v10.4s, v1.s[1] \n"
"fmla v18.4s, v11.4s, v0.s[1] \n"
"fmla v19.4s, v11.4s, v1.s[1] \n"
"fmla v16.4s, v12.4s, v0.s[2] \n"
"fmla v17.4s, v12.4s, v1.s[2] \n"
"fmla v18.4s, v13.4s, v0.s[2] \n"
"fmla v19.4s, v13.4s, v1.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v14.4s, v0.s[3] \n"
"fmla v17.4s, v14.4s, v1.s[3] \n"
"fmla v18.4s, v15.4s, v0.s[3] \n"
"fmla v19.4s, v15.4s, v1.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s}, [%1], #32 \n"
"st1 {v18.4s, v19.4s}, [%2], #32 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v1", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19");
}
for (; i < tiles; i++)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
const float* k01 = kernel01_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"0: \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v0.4s}, [%3], #16 \n" // r0
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%4], #64 \n" // w0011_01
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v9.4s, v0.s[0] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%4], #64 \n" // w2233_01
"fmla v16.4s, v10.4s, v0.s[1] \n"
"fmla v17.4s, v11.4s, v0.s[1] \n"
"fmla v16.4s, v12.4s, v0.s[2] \n"
"fmla v17.4s, v13.4s, v0.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v14.4s, v0.s[3] \n"
"fmla v17.4s, v15.4s, v0.s[3] \n"
"bne 0b \n"
"st1 {v16.4s}, [%1], #16 \n"
"st1 {v17.4s}, [%2], #16 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(output1_tm), // %2
"=r"(r0), // %3
"=r"(k01) // %4
: "0"(nn),
"1"(output0_tm),
"2"(output1_tm),
"3"(r0),
"4"(k01)
: "cc", "memory", "v0", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17");
}
}
}
#endif // __ARM_NEON && __aarch64__
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = remain_outch_start; p < outch; p++)
{
float* output0_tm = top_blob_tm.channel(p);
#if __aarch64__
const Mat kernel0_tm = kernel_tm.channel(p / 2 + p % 2);
#else
const Mat kernel0_tm = kernel_tm.channel(p);
#endif
for (int r = 0; r < 36; r++)
{
const Mat bb2 = bottom_blob_tm2.channel(r);
int i = 0;
#if __aarch64__
for (; i + 11 < tiles; i += 12)
{
const float* r0 = bb2.row(i / 12);
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
asm volatile(
"eor v8.16b, v8.16b, v8.16b \n"
"eor v9.16b, v9.16b, v9.16b \n"
"eor v10.16b, v10.16b, v10.16b \n"
"eor v11.16b, v11.16b, v11.16b \n"
"eor v12.16b, v12.16b, v12.16b \n"
"eor v13.16b, v13.16b, v13.16b \n"
"eor v14.16b, v14.16b, v14.16b \n"
"eor v15.16b, v15.16b, v15.16b \n"
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%2], #64 \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%3], #64 \n" // w0123_0
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v9.4s, v4.4s, v0.s[1] \n"
"fmla v10.4s, v4.4s, v0.s[2] \n"
"fmla v11.4s, v4.4s, v0.s[3] \n"
"fmla v12.4s, v4.4s, v1.s[0] \n"
"fmla v13.4s, v4.4s, v1.s[1] \n"
"fmla v14.4s, v4.4s, v1.s[2] \n"
"fmla v15.4s, v4.4s, v1.s[3] \n"
"fmla v16.4s, v4.4s, v2.s[0] \n"
"fmla v17.4s, v4.4s, v2.s[1] \n"
"fmla v18.4s, v4.4s, v2.s[2] \n"
"fmla v19.4s, v4.4s, v2.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%2], #64 \n"
"fmla v8.4s, v5.4s, v3.s[0] \n"
"fmla v9.4s, v5.4s, v3.s[1] \n"
"fmla v10.4s, v5.4s, v3.s[2] \n"
"fmla v11.4s, v5.4s, v3.s[3] \n"
"fmla v12.4s, v5.4s, v20.s[0] \n"
"fmla v13.4s, v5.4s, v20.s[1] \n"
"fmla v14.4s, v5.4s, v20.s[2] \n"
"fmla v15.4s, v5.4s, v20.s[3] \n"
"fmla v16.4s, v5.4s, v21.s[0] \n"
"fmla v17.4s, v5.4s, v21.s[1] \n"
"fmla v18.4s, v5.4s, v21.s[2] \n"
"fmla v19.4s, v5.4s, v21.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%2], #64 \n"
"fmla v8.4s, v6.4s, v22.s[0] \n"
"fmla v9.4s, v6.4s, v22.s[1] \n"
"fmla v10.4s, v6.4s, v22.s[2] \n"
"fmla v11.4s, v6.4s, v22.s[3] \n"
"fmla v12.4s, v6.4s, v23.s[0] \n"
"fmla v13.4s, v6.4s, v23.s[1] \n"
"fmla v14.4s, v6.4s, v23.s[2] \n"
"fmla v15.4s, v6.4s, v23.s[3] \n"
"fmla v16.4s, v6.4s, v24.s[0] \n"
"fmla v17.4s, v6.4s, v24.s[1] \n"
"fmla v18.4s, v6.4s, v24.s[2] \n"
"fmla v19.4s, v6.4s, v24.s[3] \n"
"subs %w0, %w0, #1 \n"
"fmla v8.4s, v7.4s, v25.s[0] \n"
"fmla v9.4s, v7.4s, v25.s[1] \n"
"fmla v10.4s, v7.4s, v25.s[2] \n"
"fmla v11.4s, v7.4s, v25.s[3] \n"
"fmla v12.4s, v7.4s, v26.s[0] \n"
"fmla v13.4s, v7.4s, v26.s[1] \n"
"fmla v14.4s, v7.4s, v26.s[2] \n"
"fmla v15.4s, v7.4s, v26.s[3] \n"
"fmla v16.4s, v7.4s, v27.s[0] \n"
"fmla v17.4s, v7.4s, v27.s[1] \n"
"fmla v18.4s, v7.4s, v27.s[2] \n"
"fmla v19.4s, v7.4s, v27.s[3] \n"
"bne 0b \n"
"st1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%1], #64 \n"
"st1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%1], #64 \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27");
}
#endif
for (; i + 7 < tiles; i += 8)
{
#if __aarch64__
const float* r0 = bb2.row(i / 12 + (i % 12) / 8);
#else
const float* r0 = bb2.row(i / 8);
#endif
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
#if __aarch64__
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%2], #64 \n" // r0 r1 r2 r3
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%3], #64 \n" // w0123
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v8.4s, v2.s[0] \n"
"fmla v19.4s, v8.4s, v3.s[0] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%2], #64 \n" // r4 r5 r6 r7
"fmla v20.4s, v8.4s, v4.s[0] \n"
"fmla v21.4s, v8.4s, v5.s[0] \n"
"fmla v22.4s, v8.4s, v6.s[0] \n"
"fmla v23.4s, v8.4s, v7.s[0] \n"
"fmla v16.4s, v9.4s, v0.s[1] \n"
"fmla v17.4s, v9.4s, v1.s[1] \n"
"fmla v18.4s, v9.4s, v2.s[1] \n"
"fmla v19.4s, v9.4s, v3.s[1] \n"
"fmla v20.4s, v9.4s, v4.s[1] \n"
"fmla v21.4s, v9.4s, v5.s[1] \n"
"fmla v22.4s, v9.4s, v6.s[1] \n"
"fmla v23.4s, v9.4s, v7.s[1] \n"
"fmla v16.4s, v10.4s, v0.s[2] \n"
"fmla v17.4s, v10.4s, v1.s[2] \n"
"fmla v18.4s, v10.4s, v2.s[2] \n"
"fmla v19.4s, v10.4s, v3.s[2] \n"
"fmla v20.4s, v10.4s, v4.s[2] \n"
"fmla v21.4s, v10.4s, v5.s[2] \n"
"fmla v22.4s, v10.4s, v6.s[2] \n"
"fmla v23.4s, v10.4s, v7.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v11.4s, v0.s[3] \n"
"fmla v17.4s, v11.4s, v1.s[3] \n"
"fmla v18.4s, v11.4s, v2.s[3] \n"
"fmla v19.4s, v11.4s, v3.s[3] \n"
"fmla v20.4s, v11.4s, v4.s[3] \n"
"fmla v21.4s, v11.4s, v5.s[3] \n"
"fmla v22.4s, v11.4s, v6.s[3] \n"
"fmla v23.4s, v11.4s, v7.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%1], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23");
#else
asm volatile(
"veor q8, q8 \n"
"veor q9, q9 \n"
"veor q10, q10 \n"
"veor q11, q11 \n"
"veor q12, q12 \n"
"veor q13, q13 \n"
"veor q14, q14 \n"
"veor q15, q15 \n"
"0: \n"
"pld [%2, #512] \n"
"vldm %2!, {d0-d7} \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q9, q4, d0[1] \n"
"vmla.f32 q10, q4, d1[0] \n"
"vmla.f32 q11, q4, d1[1] \n"
"vmla.f32 q12, q4, d2[0] \n"
"vmla.f32 q13, q4, d2[1] \n"
"vmla.f32 q14, q4, d3[0] \n"
"vmla.f32 q15, q4, d3[1] \n"
"vmla.f32 q8, q5, d4[0] \n"
"vmla.f32 q9, q5, d4[1] \n"
"vmla.f32 q10, q5, d5[0] \n"
"vmla.f32 q11, q5, d5[1] \n"
"vmla.f32 q12, q5, d6[0] \n"
"vmla.f32 q13, q5, d6[1] \n"
"vmla.f32 q14, q5, d7[0] \n"
"vmla.f32 q15, q5, d7[1] \n"
"pld [%2, #512] \n"
"vldm %2!, {d0-d7} \n"
"vmla.f32 q8, q6, d0[0] \n"
"vmla.f32 q9, q6, d0[1] \n"
"vmla.f32 q10, q6, d1[0] \n"
"vmla.f32 q11, q6, d1[1] \n"
"vmla.f32 q12, q6, d2[0] \n"
"vmla.f32 q13, q6, d2[1] \n"
"vmla.f32 q14, q6, d3[0] \n"
"vmla.f32 q15, q6, d3[1] \n"
"subs %0, %0, #1 \n"
"vmla.f32 q8, q7, d4[0] \n"
"vmla.f32 q9, q7, d4[1] \n"
"vmla.f32 q10, q7, d5[0] \n"
"vmla.f32 q11, q7, d5[1] \n"
"vmla.f32 q12, q7, d6[0] \n"
"vmla.f32 q13, q7, d6[1] \n"
"vmla.f32 q14, q7, d7[0] \n"
"vmla.f32 q15, q7, d7[1] \n"
"bne 0b \n"
"vstm %1!, {d16-d23} \n"
"vstm %1!, {d24-d31} \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif
}
for (; i + 3 < tiles; i += 4)
{
#if __aarch64__
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
#else
const float* r0 = bb2.row(i / 8 + (i % 8) / 4);
#endif
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
#if __aarch64__
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%2], #64 \n" // r0 r1 r2 r3
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%3], #64 \n" // w0123
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v18.4s, v8.4s, v2.s[0] \n"
"fmla v19.4s, v8.4s, v3.s[0] \n"
"fmla v16.4s, v9.4s, v0.s[1] \n"
"fmla v17.4s, v9.4s, v1.s[1] \n"
"fmla v18.4s, v9.4s, v2.s[1] \n"
"fmla v19.4s, v9.4s, v3.s[1] \n"
"fmla v16.4s, v10.4s, v0.s[2] \n"
"fmla v17.4s, v10.4s, v1.s[2] \n"
"fmla v18.4s, v10.4s, v2.s[2] \n"
"fmla v19.4s, v10.4s, v3.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v11.4s, v0.s[3] \n"
"fmla v17.4s, v11.4s, v1.s[3] \n"
"fmla v18.4s, v11.4s, v2.s[3] \n"
"fmla v19.4s, v11.4s, v3.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%1], #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v1", "v2", "v3", "v8", "v9", "v10", "v11", "v16", "v17", "v18", "v19");
#else
asm volatile(
"veor q8, q8 \n"
"veor q9, q9 \n"
"veor q10, q10 \n"
"veor q11, q11 \n"
"0: \n"
"pld [%2, #512] \n"
"vldm %2!, {d0-d7} \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q9, q4, d2[0] \n"
"vmla.f32 q10, q4, d4[0] \n"
"vmla.f32 q11, q4, d6[0] \n"
"vmla.f32 q8, q5, d0[1] \n"
"vmla.f32 q9, q5, d2[1] \n"
"vmla.f32 q10, q5, d4[1] \n"
"vmla.f32 q11, q5, d6[1] \n"
"vmla.f32 q8, q6, d1[0] \n"
"vmla.f32 q9, q6, d3[0] \n"
"vmla.f32 q10, q6, d5[0] \n"
"vmla.f32 q11, q6, d7[0] \n"
"subs %0, %0, #1 \n"
"vmla.f32 q8, q7, d1[1] \n"
"vmla.f32 q9, q7, d3[1] \n"
"vmla.f32 q10, q7, d5[1] \n"
"vmla.f32 q11, q7, d7[1] \n"
"bne 0b \n"
"vstm %1!, {d16-d23} \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11");
#endif
}
for (; i + 1 < tiles; i += 2)
{
#if __aarch64__
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
#else
const float* r0 = bb2.row(i / 8 + (i % 8) / 4 + (i % 4) / 2);
#endif
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
#if __aarch64__
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v0.4s, v1.4s}, [%2], #32 \n" // r0 r1
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%3], #64 \n" // w0123
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v1.s[0] \n"
"fmla v16.4s, v9.4s, v0.s[1] \n"
"fmla v17.4s, v9.4s, v1.s[1] \n"
"fmla v16.4s, v10.4s, v0.s[2] \n"
"fmla v17.4s, v10.4s, v1.s[2] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v11.4s, v0.s[3] \n"
"fmla v17.4s, v11.4s, v1.s[3] \n"
"bne 0b \n"
"st1 {v16.4s, v17.4s}, [%1], #32 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v1", "v8", "v9", "v10", "v11", "v16", "v17");
#else
asm volatile(
"veor q8, q8 \n"
"veor q9, q9 \n"
"0: \n"
"pld [%2, #256] \n"
"vld1.f32 {d0-d3}, [%2 :128]! \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q9, q4, d2[0] \n"
"vmla.f32 q8, q5, d0[1] \n"
"vmla.f32 q9, q5, d2[1] \n"
"vmla.f32 q8, q6, d1[0] \n"
"vmla.f32 q9, q6, d3[0] \n"
"subs %0, %0, #1 \n"
"vmla.f32 q8, q7, d1[1] \n"
"vmla.f32 q9, q7, d3[1] \n"
"bne 0b \n"
"vst1.f32 {d16-d19}, [%1 :128]! \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "q0", "q1", "q4", "q5", "q6", "q7", "q8", "q9");
#endif
}
for (; i < tiles; i++)
{
#if __aarch64__
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
#else
const float* r0 = bb2.row(i / 8 + (i % 8) / 4 + (i % 4) / 2 + i % 2);
#endif
const float* k0 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
#if __aarch64__
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v0.4s}, [%2], #16 \n" // r0
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%3], #64 \n" // w0123
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v16.4s, v9.4s, v0.s[1] \n"
"subs %w0, %w0, #1 \n"
"fmla v16.4s, v10.4s, v0.s[2] \n"
"fmla v16.4s, v11.4s, v0.s[3] \n"
"bne 0b \n"
"st1 {v16.4s}, [%1], #16 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "v0", "v8", "v9", "v10", "v11", "v16");
#else
asm volatile(
"veor q8, q8 \n"
"0: \n"
"pld [%2, #128] \n"
"vld1.f32 {d0-d1}, [%2 :128]! \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q8, q5, d0[1] \n"
"subs %0, %0, #1 \n"
"vmla.f32 q8, q6, d1[0] \n"
"vmla.f32 q8, q7, d1[1] \n"
"bne 0b \n"
"vst1.f32 {d16-d17}, [%1 :128]! \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(k0) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(k0)
: "cc", "memory", "q0", "q4", "q5", "q6", "q7", "q8");
#endif
}
}
}
}
bottom_blob_tm = Mat();
// END dot
// BEGIN transform output
Mat top_blob_bordered;
if (outw == top_blob.w && outh == top_blob.h)
{
top_blob_bordered = top_blob;
}
else
{
top_blob_bordered.create(outw, outh, outch, elemsize, elempack, opt.workspace_allocator);
}
{
conv3x3s1_winograd43_transform_output_pack4_bf16s_neon(top_blob_tm, top_blob_bordered, bias, opt);
}
// END transform output
// cut result pad
copy_cut_border(top_blob_bordered, top_blob, 0, top_blob_bordered.h - top_blob.h, 0, top_blob_bordered.w - top_blob.w, opt);
}
static void conv3x3s2_pack4_bf16s_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
Mat top_blob_fp32(outw, outh, opt.num_threads, (size_t)4u * 4, 4, opt.workspace_allocator);
const int tailstep = (w - 2 * outw + w) * 4;
const float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
Mat out0 = top_blob_fp32.channel(get_omp_thread_num());
float32x4_t _bias0 = bias ? vld1q_f32((const float*)bias + p * 4) : vdupq_n_f32(0.f);
out0.fill(_bias0);
int q = 0;
for (; q < inch - 1; q++)
{
float* outptr0 = out0.row(0);
const Mat img0 = bottom_blob.channel(q);
const unsigned short* r0 = img0.row<const unsigned short>(0);
const unsigned short* r1 = img0.row<const unsigned short>(1);
const unsigned short* r2 = img0.row<const unsigned short>(2);
const unsigned short* kptr = (const unsigned short*)kernel.channel(p).row<const unsigned short>(q);
#if __aarch64__
// 16 * 9
uint16x8_t _k00_01 = vld1q_u16(kptr);
uint16x8_t _k00_23 = vld1q_u16(kptr + 8);
uint16x8_t _k01_01 = vld1q_u16(kptr + 16);
uint16x8_t _k01_23 = vld1q_u16(kptr + 24);
uint16x8_t _k02_01 = vld1q_u16(kptr + 32);
uint16x8_t _k02_23 = vld1q_u16(kptr + 40);
uint16x8_t _k10_01 = vld1q_u16(kptr + 48);
uint16x8_t _k10_23 = vld1q_u16(kptr + 56);
uint16x8_t _k11_01 = vld1q_u16(kptr + 64);
uint16x8_t _k11_23 = vld1q_u16(kptr + 72);
uint16x8_t _k12_01 = vld1q_u16(kptr + 80);
uint16x8_t _k12_23 = vld1q_u16(kptr + 88);
uint16x8_t _k20_01 = vld1q_u16(kptr + 96);
uint16x8_t _k20_23 = vld1q_u16(kptr + 104);
uint16x8_t _k21_01 = vld1q_u16(kptr + 112);
uint16x8_t _k21_23 = vld1q_u16(kptr + 120);
uint16x8_t _k22_01 = vld1q_u16(kptr + 128);
uint16x8_t _k22_23 = vld1q_u16(kptr + 136);
#endif // __aarch64__
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v10.4s, v11.4s, v12.4s, v13.4s}, [%0] \n" // sum0 sum1 sum2 sum3
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%1], #64 \n" // r00 r01 r02 r03
"shll v0.4s, v4.4h, #16 \n"
"shll2 v1.4s, v4.8h, #16 \n"
"shll v2.4s, v5.4h, #16 \n"
"shll2 v3.4s, v5.8h, #16 \n"
"shll v4.4s, v6.4h, #16 \n"
"shll2 v5.4s, v6.8h, #16 \n"
"shll v6.4s, v7.4h, #16 \n"
"shll2 v7.4s, v7.8h, #16 \n"
"shll v8.4s, %8.4h, #16 \n"
"shll2 v9.4s, %8.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[0] \n"
"fmla v11.4s, v8.4s, v2.s[0] \n"
"fmla v12.4s, v8.4s, v4.s[0] \n"
"fmla v13.4s, v8.4s, v6.s[0] \n"
"fmla v10.4s, v9.4s, v0.s[1] \n"
"fmla v11.4s, v9.4s, v2.s[1] \n"
"fmla v12.4s, v9.4s, v4.s[1] \n"
"fmla v13.4s, v9.4s, v6.s[1] \n"
"shll v8.4s, %9.4h, #16 \n"
"shll2 v9.4s, %9.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v8.4s, v4.s[2] \n"
"fmla v13.4s, v8.4s, v6.s[2] \n"
"fmla v10.4s, v9.4s, v0.s[3] \n"
"fmla v11.4s, v9.4s, v2.s[3] \n"
"fmla v12.4s, v9.4s, v4.s[3] \n"
"fmla v13.4s, v9.4s, v6.s[3] \n"
"shll v8.4s, %10.4h, #16 \n"
"shll2 v9.4s, %10.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[0] \n"
"fmla v11.4s, v8.4s, v3.s[0] \n"
"fmla v12.4s, v8.4s, v5.s[0] \n"
"fmla v13.4s, v8.4s, v7.s[0] \n"
"fmla v10.4s, v9.4s, v1.s[1] \n"
"fmla v11.4s, v9.4s, v3.s[1] \n"
"fmla v12.4s, v9.4s, v5.s[1] \n"
"fmla v13.4s, v9.4s, v7.s[1] \n"
"shll v8.4s, %11.4h, #16 \n"
"shll2 v9.4s, %11.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v8.4s, v5.s[2] \n"
"fmla v13.4s, v8.4s, v7.s[2] \n"
"fmla v10.4s, v9.4s, v1.s[3] \n"
"fmla v11.4s, v9.4s, v3.s[3] \n"
"fmla v12.4s, v9.4s, v5.s[3] \n"
"fmla v13.4s, v9.4s, v7.s[3] \n"
"prfm pldl1keep, [%1, #64] \n"
"ld1 {v0.4h}, [%1] \n" // r08
"shll v0.4s, v0.4h, #16 \n"
"shll v8.4s, %12.4h, #16 \n"
"shll2 v9.4s, %12.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[0] \n"
"fmla v11.4s, v8.4s, v4.s[0] \n"
"fmla v12.4s, v8.4s, v6.s[0] \n"
"fmla v13.4s, v8.4s, v0.s[0] \n"
"fmla v10.4s, v9.4s, v2.s[1] \n"
"fmla v11.4s, v9.4s, v4.s[1] \n"
"fmla v12.4s, v9.4s, v6.s[1] \n"
"fmla v13.4s, v9.4s, v0.s[1] \n"
"shll v8.4s, %13.4h, #16 \n"
"shll2 v9.4s, %13.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v8.4s, v6.s[2] \n"
"fmla v13.4s, v8.4s, v0.s[2] \n"
"fmla v10.4s, v9.4s, v2.s[3] \n"
"fmla v11.4s, v9.4s, v4.s[3] \n"
"fmla v12.4s, v9.4s, v6.s[3] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%2], #64 \n" // r10 r11 r12 r13
"shll v0.4s, v4.4h, #16 \n"
"shll2 v1.4s, v4.8h, #16 \n"
"shll v2.4s, v5.4h, #16 \n"
"shll2 v3.4s, v5.8h, #16 \n"
"shll v4.4s, v6.4h, #16 \n"
"shll2 v5.4s, v6.8h, #16 \n"
"shll v6.4s, v7.4h, #16 \n"
"shll2 v7.4s, v7.8h, #16 \n"
"shll v8.4s, %14.4h, #16 \n"
"shll2 v9.4s, %14.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[0] \n"
"fmla v11.4s, v8.4s, v2.s[0] \n"
"fmla v12.4s, v8.4s, v4.s[0] \n"
"fmla v13.4s, v8.4s, v6.s[0] \n"
"fmla v10.4s, v9.4s, v0.s[1] \n"
"fmla v11.4s, v9.4s, v2.s[1] \n"
"fmla v12.4s, v9.4s, v4.s[1] \n"
"fmla v13.4s, v9.4s, v6.s[1] \n"
"shll v8.4s, %15.4h, #16 \n"
"shll2 v9.4s, %15.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v8.4s, v4.s[2] \n"
"fmla v13.4s, v8.4s, v6.s[2] \n"
"fmla v10.4s, v9.4s, v0.s[3] \n"
"fmla v11.4s, v9.4s, v2.s[3] \n"
"fmla v12.4s, v9.4s, v4.s[3] \n"
"fmla v13.4s, v9.4s, v6.s[3] \n"
"shll v8.4s, %16.4h, #16 \n"
"shll2 v9.4s, %16.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[0] \n"
"fmla v11.4s, v8.4s, v3.s[0] \n"
"fmla v12.4s, v8.4s, v5.s[0] \n"
"fmla v13.4s, v8.4s, v7.s[0] \n"
"fmla v10.4s, v9.4s, v1.s[1] \n"
"fmla v11.4s, v9.4s, v3.s[1] \n"
"fmla v12.4s, v9.4s, v5.s[1] \n"
"fmla v13.4s, v9.4s, v7.s[1] \n"
"shll v8.4s, %17.4h, #16 \n"
"shll2 v9.4s, %17.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v8.4s, v5.s[2] \n"
"fmla v13.4s, v8.4s, v7.s[2] \n"
"fmla v10.4s, v9.4s, v1.s[3] \n"
"fmla v11.4s, v9.4s, v3.s[3] \n"
"fmla v12.4s, v9.4s, v5.s[3] \n"
"fmla v13.4s, v9.4s, v7.s[3] \n"
"prfm pldl1keep, [%2, #64] \n"
"ld1 {v0.4h}, [%2] \n" // r18
"shll v0.4s, v0.4h, #16 \n"
"shll v8.4s, %18.4h, #16 \n"
"shll2 v9.4s, %18.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[0] \n"
"fmla v11.4s, v8.4s, v4.s[0] \n"
"fmla v12.4s, v8.4s, v6.s[0] \n"
"fmla v13.4s, v8.4s, v0.s[0] \n"
"fmla v10.4s, v9.4s, v2.s[1] \n"
"fmla v11.4s, v9.4s, v4.s[1] \n"
"fmla v12.4s, v9.4s, v6.s[1] \n"
"fmla v13.4s, v9.4s, v0.s[1] \n"
"shll v8.4s, %19.4h, #16 \n"
"shll2 v9.4s, %19.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v8.4s, v6.s[2] \n"
"fmla v13.4s, v8.4s, v0.s[2] \n"
"fmla v10.4s, v9.4s, v2.s[3] \n"
"fmla v11.4s, v9.4s, v4.s[3] \n"
"fmla v12.4s, v9.4s, v6.s[3] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%3], #64 \n" // r20 r21 r22 r23
"shll v0.4s, v4.4h, #16 \n"
"shll2 v1.4s, v4.8h, #16 \n"
"shll v2.4s, v5.4h, #16 \n"
"shll2 v3.4s, v5.8h, #16 \n"
"shll v4.4s, v6.4h, #16 \n"
"shll2 v5.4s, v6.8h, #16 \n"
"shll v6.4s, v7.4h, #16 \n"
"shll2 v7.4s, v7.8h, #16 \n"
"shll v8.4s, %20.4h, #16 \n"
"shll2 v9.4s, %20.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[0] \n"
"fmla v11.4s, v8.4s, v2.s[0] \n"
"fmla v12.4s, v8.4s, v4.s[0] \n"
"fmla v13.4s, v8.4s, v6.s[0] \n"
"fmla v10.4s, v9.4s, v0.s[1] \n"
"fmla v11.4s, v9.4s, v2.s[1] \n"
"fmla v12.4s, v9.4s, v4.s[1] \n"
"fmla v13.4s, v9.4s, v6.s[1] \n"
"shll v8.4s, %21.4h, #16 \n"
"shll2 v9.4s, %21.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v8.4s, v4.s[2] \n"
"fmla v13.4s, v8.4s, v6.s[2] \n"
"fmla v10.4s, v9.4s, v0.s[3] \n"
"fmla v11.4s, v9.4s, v2.s[3] \n"
"fmla v12.4s, v9.4s, v4.s[3] \n"
"fmla v13.4s, v9.4s, v6.s[3] \n"
"shll v8.4s, %22.4h, #16 \n"
"shll2 v9.4s, %22.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[0] \n"
"fmla v11.4s, v8.4s, v3.s[0] \n"
"fmla v12.4s, v8.4s, v5.s[0] \n"
"fmla v13.4s, v8.4s, v7.s[0] \n"
"fmla v10.4s, v9.4s, v1.s[1] \n"
"fmla v11.4s, v9.4s, v3.s[1] \n"
"fmla v12.4s, v9.4s, v5.s[1] \n"
"fmla v13.4s, v9.4s, v7.s[1] \n"
"shll v8.4s, %23.4h, #16 \n"
"shll2 v9.4s, %23.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v8.4s, v5.s[2] \n"
"fmla v13.4s, v8.4s, v7.s[2] \n"
"fmla v10.4s, v9.4s, v1.s[3] \n"
"fmla v11.4s, v9.4s, v3.s[3] \n"
"fmla v12.4s, v9.4s, v5.s[3] \n"
"fmla v13.4s, v9.4s, v7.s[3] \n"
"prfm pldl1keep, [%3, #64] \n"
"ld1 {v0.4h}, [%3] \n" // r28
"shll v0.4s, v0.4h, #16 \n"
"shll v8.4s, %24.4h, #16 \n"
"shll2 v9.4s, %24.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[0] \n"
"fmla v11.4s, v8.4s, v4.s[0] \n"
"fmla v12.4s, v8.4s, v6.s[0] \n"
"fmla v13.4s, v8.4s, v0.s[0] \n"
"fmla v10.4s, v9.4s, v2.s[1] \n"
"fmla v11.4s, v9.4s, v4.s[1] \n"
"fmla v12.4s, v9.4s, v6.s[1] \n"
"fmla v13.4s, v9.4s, v0.s[1] \n"
"shll v8.4s, %25.4h, #16 \n"
"shll2 v9.4s, %25.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v8.4s, v6.s[2] \n"
"fmla v13.4s, v8.4s, v0.s[2] \n"
"fmla v10.4s, v9.4s, v2.s[3] \n"
"fmla v11.4s, v9.4s, v4.s[3] \n"
"fmla v12.4s, v9.4s, v6.s[3] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"st1 {v10.4s, v11.4s, v12.4s, v13.4s}, [%0], #64 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00_01), // %8
"w"(_k00_23), // %9
"w"(_k01_01), // %10
"w"(_k01_23), // %11
"w"(_k02_01), // %12
"w"(_k02_23), // %13
"w"(_k10_01), // %14
"w"(_k10_23), // %15
"w"(_k11_01), // %16
"w"(_k11_23), // %17
"w"(_k12_01), // %18
"w"(_k12_23), // %19
"w"(_k20_01), // %20
"w"(_k20_23), // %21
"w"(_k21_01), // %22
"w"(_k21_23), // %23
"w"(_k22_01), // %24
"w"(_k22_23) // %25
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13");
#else // __aarch64__
asm volatile(
"pld [%0, #512] \n"
"vldm %0, {d24-d31} \n" // sum0 sum1 sum2 sum3
"pld [%1, #512] \n"
"vldm %1!, {d8-d15} \n" // r00 r01 r02 r03 r04 r05 r06 r07
"vshll.u16 q0, d8, #16 \n"
"vshll.u16 q1, d9, #16 \n"
"vshll.u16 q2, d10, #16 \n"
"vshll.u16 q3, d11, #16 \n"
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%1, #64] \n"
"vld1.f32 {d1}, [%1 :64] \n" // r08
"vshll.u16 q0, d1, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d0[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d0[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%2, #512] \n"
"vldm %2!, {d8-d15} \n" // r10 r11 r12 r13 r14 r15 r16 r17
"vshll.u16 q0, d8, #16 \n"
"vshll.u16 q1, d9, #16 \n"
"vshll.u16 q2, d10, #16 \n"
"vshll.u16 q3, d11, #16 \n"
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%2, #64] \n"
"vld1.f32 {d1}, [%2 :64] \n" // r18
"vshll.u16 q0, d1, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d0[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d0[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%3, #256] \n"
"vldm %3!, {d8-d15} \n" // r20 r21 r22 r23 r24 r25 r26 r27
"vshll.u16 q0, d8, #16 \n"
"vshll.u16 q1, d9, #16 \n"
"vshll.u16 q2, d10, #16 \n"
"vshll.u16 q3, d11, #16 \n"
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%3, #64] \n"
"vld1.f32 {d1}, [%3 :64] \n" // r28
"vshll.u16 q0, d1, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
// "pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128] \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d0[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d0[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d1[1] \n"
"sub %4, %4, #256 \n" // kptr -= 8 * 16;
"vstm %0!, {d24-d31} \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(kptr) // %4
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; j + 1 < outw; j += 2)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #256] \n"
"ld1 {v12.4s, v13.4s}, [%0] \n" // sum0 sum1
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v0.4h, v1.4h, v2.4h, v3.4h}, [%1], #32 \n" // r00 r01 r02 r03
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v3.4s, v3.4h, #16 \n"
"shll v6.4s, %8.4h, #16 \n"
"shll2 v7.4s, %8.8h, #16 \n"
"shll v8.4s, %9.4h, #16 \n"
"shll2 v9.4s, %9.8h, #16 \n"
"fmul v10.4s, v6.4s, v0.s[0] \n"
"fmul v11.4s, v6.4s, v2.s[0] \n"
"fmla v12.4s, v7.4s, v0.s[1] \n"
"fmla v13.4s, v7.4s, v2.s[1] \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v9.4s, v0.s[3] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"prfm pldl1keep, [%1, #64] \n"
"ld1 {v4.4h}, [%1] \n" // r04
"shll v4.4s, v4.4h, #16 \n"
"shll v6.4s, %10.4h, #16 \n"
"shll2 v7.4s, %10.8h, #16 \n"
"shll v8.4s, %11.4h, #16 \n"
"shll2 v9.4s, %11.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v6.4s, v3.s[0] \n"
"fmla v12.4s, v7.4s, v1.s[1] \n"
"fmla v13.4s, v7.4s, v3.s[1] \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v9.4s, v1.s[3] \n"
"fmla v13.4s, v9.4s, v3.s[3] \n"
"shll v6.4s, %12.4h, #16 \n"
"shll2 v7.4s, %12.8h, #16 \n"
"shll v8.4s, %13.4h, #16 \n"
"shll2 v9.4s, %13.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v6.4s, v4.s[0] \n"
"fmla v12.4s, v7.4s, v2.s[1] \n"
"fmla v13.4s, v7.4s, v4.s[1] \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v9.4s, v2.s[3] \n"
"fmla v13.4s, v9.4s, v4.s[3] \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v0.4h, v1.4h, v2.4h, v3.4h}, [%2], #32 \n" // r10 r11 r12 r13
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v3.4s, v3.4h, #16 \n"
"shll v6.4s, %14.4h, #16 \n"
"shll2 v7.4s, %14.8h, #16 \n"
"shll v8.4s, %15.4h, #16 \n"
"shll2 v9.4s, %15.8h, #16 \n"
"fmla v10.4s, v6.4s, v0.s[0] \n"
"fmla v11.4s, v6.4s, v2.s[0] \n"
"fmla v12.4s, v7.4s, v0.s[1] \n"
"fmla v13.4s, v7.4s, v2.s[1] \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v9.4s, v0.s[3] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"prfm pldl1keep, [%2, #64] \n"
"ld1 {v4.4h}, [%2] \n" // r14
"shll v4.4s, v4.4h, #16 \n"
"shll v6.4s, %16.4h, #16 \n"
"shll2 v7.4s, %16.8h, #16 \n"
"shll v8.4s, %17.4h, #16 \n"
"shll2 v9.4s, %17.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v6.4s, v3.s[0] \n"
"fmla v12.4s, v7.4s, v1.s[1] \n"
"fmla v13.4s, v7.4s, v3.s[1] \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v9.4s, v1.s[3] \n"
"fmla v13.4s, v9.4s, v3.s[3] \n"
"shll v6.4s, %18.4h, #16 \n"
"shll2 v7.4s, %18.8h, #16 \n"
"shll v8.4s, %19.4h, #16 \n"
"shll2 v9.4s, %19.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v6.4s, v4.s[0] \n"
"fmla v12.4s, v7.4s, v2.s[1] \n"
"fmla v13.4s, v7.4s, v4.s[1] \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v9.4s, v2.s[3] \n"
"fmla v13.4s, v9.4s, v4.s[3] \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v0.4h, v1.4h, v2.4h, v3.4h}, [%3], #32 \n" // r20 r21 r22 r23
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v3.4s, v3.4h, #16 \n"
"shll v6.4s, %20.4h, #16 \n"
"shll2 v7.4s, %20.8h, #16 \n"
"shll v8.4s, %21.4h, #16 \n"
"shll2 v9.4s, %21.8h, #16 \n"
"fmla v10.4s, v6.4s, v0.s[0] \n"
"fmla v11.4s, v6.4s, v2.s[0] \n"
"fmla v12.4s, v7.4s, v0.s[1] \n"
"fmla v13.4s, v7.4s, v2.s[1] \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v9.4s, v0.s[3] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"prfm pldl1keep, [%3, #64] \n"
"ld1 {v4.4h}, [%3] \n" // r24
"shll v4.4s, v4.4h, #16 \n"
"shll v6.4s, %22.4h, #16 \n"
"shll2 v7.4s, %22.8h, #16 \n"
"shll v8.4s, %23.4h, #16 \n"
"shll2 v9.4s, %23.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v6.4s, v3.s[0] \n"
"fmla v12.4s, v7.4s, v1.s[1] \n"
"fmla v13.4s, v7.4s, v3.s[1] \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v9.4s, v1.s[3] \n"
"fmla v13.4s, v9.4s, v3.s[3] \n"
"shll v6.4s, %24.4h, #16 \n"
"shll2 v7.4s, %24.8h, #16 \n"
"shll v8.4s, %25.4h, #16 \n"
"shll2 v9.4s, %25.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v6.4s, v4.s[0] \n"
"fmla v12.4s, v7.4s, v2.s[1] \n"
"fmla v13.4s, v7.4s, v4.s[1] \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v9.4s, v2.s[3] \n"
"fmla v13.4s, v9.4s, v4.s[3] \n"
"fadd v12.4s, v10.4s, v12.4s \n"
"fadd v13.4s, v11.4s, v13.4s \n"
"st1 {v12.4s, v13.4s}, [%0], #32 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00_01), // %8
"w"(_k00_23), // %9
"w"(_k01_01), // %10
"w"(_k01_23), // %11
"w"(_k02_01), // %12
"w"(_k02_23), // %13
"w"(_k10_01), // %14
"w"(_k10_23), // %15
"w"(_k11_01), // %16
"w"(_k11_23), // %17
"w"(_k12_01), // %18
"w"(_k12_23), // %19
"w"(_k20_01), // %20
"w"(_k20_23), // %21
"w"(_k21_01), // %22
"w"(_k21_23), // %23
"w"(_k22_01), // %24
"w"(_k22_23) // %25
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13");
#else // __aarch64__
asm volatile(
"pld [%0, #256] \n"
"vld1.f32 {d28-d31}, [%0 :128] \n" // sum0 sum1
"pld [%1, #256] \n"
"vld1.u16 {d4-d7}, [%1 :64]! \n" // r00 r01 r02 r03
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmul.f32 q12, q8, d0[0] \n"
"vmul.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%1, #64] \n"
"vld1.f32 {d9}, [%1 :64] \n" // r04
"vshll.u16 q4, d9, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q11, d3[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%2, #256] \n"
"vld1.u16 {d4-d7}, [%2 :64]! \n" // r10 r11 r12 r13
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%2, #64] \n"
"vld1.f32 {d9}, [%2 :64] \n" // r14
"vshll.u16 q4, d9, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q11, d3[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%3, #256] \n"
"vld1.u16 {d4-d7}, [%3 :64]! \n" // r20 r21 r22 r23
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%3, #64] \n"
"vld1.f32 {d9}, [%3 :64] \n" // r24
"vshll.u16 q4, d9, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q11, d3[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
// "pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128] \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"vadd.f32 q14, q12, q14 \n"
"vadd.f32 q15, q13, q15 \n"
"sub %4, %4, #256 \n" // kptr -= 8 * 16;
"vst1.f32 {d28-d31}, [%0 :128]! \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(kptr) // %4
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; j < outw; j++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #128] \n"
"ld1 {v13.4s}, [%0] \n" // sum0
"prfm pldl1keep, [%1, #192] \n"
"ld1 {v0.4h, v1.4h, v2.4h}, [%1] \n" // r00 r01 r02
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v6.4s, %8.4h, #16 \n"
"shll2 v7.4s, %8.8h, #16 \n"
"fmul v10.4s, v6.4s, v0.s[0] \n"
"fmul v11.4s, v7.4s, v0.s[1] \n"
"shll v8.4s, %9.4h, #16 \n"
"shll2 v9.4s, %9.8h, #16 \n"
"fmul v12.4s, v8.4s, v0.s[2] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"shll v6.4s, %10.4h, #16 \n"
"shll2 v7.4s, %10.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v7.4s, v1.s[1] \n"
"shll v8.4s, %11.4h, #16 \n"
"shll2 v9.4s, %11.8h, #16 \n"
"fmla v12.4s, v8.4s, v1.s[2] \n"
"fmla v13.4s, v9.4s, v1.s[3] \n"
"shll v6.4s, %12.4h, #16 \n"
"shll2 v7.4s, %12.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v7.4s, v2.s[1] \n"
"shll v8.4s, %13.4h, #16 \n"
"shll2 v9.4s, %13.8h, #16 \n"
"fmla v12.4s, v8.4s, v2.s[2] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"prfm pldl1keep, [%2, #192] \n"
"ld1 {v3.4h, v4.4h, v5.4h}, [%2] \n" // r10 r11 r12
"shll v3.4s, v3.4h, #16 \n"
"shll v4.4s, v4.4h, #16 \n"
"shll v5.4s, v5.4h, #16 \n"
"shll v6.4s, %14.4h, #16 \n"
"shll2 v7.4s, %14.8h, #16 \n"
"fmla v10.4s, v6.4s, v3.s[0] \n"
"fmla v11.4s, v7.4s, v3.s[1] \n"
"shll v8.4s, %15.4h, #16 \n"
"shll2 v9.4s, %15.8h, #16 \n"
"fmla v12.4s, v8.4s, v3.s[2] \n"
"fmla v13.4s, v9.4s, v3.s[3] \n"
"shll v6.4s, %16.4h, #16 \n"
"shll2 v7.4s, %16.8h, #16 \n"
"fmla v10.4s, v6.4s, v4.s[0] \n"
"fmla v11.4s, v7.4s, v4.s[1] \n"
"shll v8.4s, %17.4h, #16 \n"
"shll2 v9.4s, %17.8h, #16 \n"
"fmla v12.4s, v8.4s, v4.s[2] \n"
"fmla v13.4s, v9.4s, v4.s[3] \n"
"shll v6.4s, %18.4h, #16 \n"
"shll2 v7.4s, %18.8h, #16 \n"
"fmla v10.4s, v6.4s, v5.s[0] \n"
"fmla v11.4s, v7.4s, v5.s[1] \n"
"shll v8.4s, %19.4h, #16 \n"
"shll2 v9.4s, %19.8h, #16 \n"
"fmla v12.4s, v8.4s, v5.s[2] \n"
"fmla v13.4s, v9.4s, v5.s[3] \n"
"prfm pldl1keep, [%3, #192] \n"
"ld1 {v0.4h, v1.4h, v2.4h}, [%3] \n" // r20 r21 r22
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v6.4s, %20.4h, #16 \n"
"shll2 v7.4s, %20.8h, #16 \n"
"fmla v10.4s, v6.4s, v0.s[0] \n"
"fmla v11.4s, v7.4s, v0.s[1] \n"
"shll v8.4s, %21.4h, #16 \n"
"shll2 v9.4s, %21.8h, #16 \n"
"fmla v12.4s, v8.4s, v0.s[2] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"shll v6.4s, %22.4h, #16 \n"
"shll2 v7.4s, %22.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v7.4s, v1.s[1] \n"
"shll v8.4s, %23.4h, #16 \n"
"shll2 v9.4s, %23.8h, #16 \n"
"fmla v12.4s, v8.4s, v1.s[2] \n"
"fmla v13.4s, v9.4s, v1.s[3] \n"
"shll v6.4s, %24.4h, #16 \n"
"shll2 v7.4s, %24.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v7.4s, v2.s[1] \n"
"shll v8.4s, %25.4h, #16 \n"
"shll2 v9.4s, %25.8h, #16 \n"
"fmla v12.4s, v8.4s, v2.s[2] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"fadd v11.4s, v10.4s, v11.4s \n"
"add %1, %1, #16 \n"
"fadd v13.4s, v12.4s, v13.4s \n"
"add %2, %2, #16 \n"
"fadd v13.4s, v11.4s, v13.4s \n"
"add %3, %3, #16 \n"
"st1 {v13.4s}, [%0], #16 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00_01), // %8
"w"(_k00_23), // %9
"w"(_k01_01), // %10
"w"(_k01_23), // %11
"w"(_k02_01), // %12
"w"(_k02_23), // %13
"w"(_k10_01), // %14
"w"(_k10_23), // %15
"w"(_k11_01), // %16
"w"(_k11_23), // %17
"w"(_k12_01), // %18
"w"(_k12_23), // %19
"w"(_k20_01), // %20
"w"(_k20_23), // %21
"w"(_k21_01), // %22
"w"(_k21_23), // %23
"w"(_k22_01), // %24
"w"(_k22_23) // %25
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13");
#else // __aarch64__
asm volatile(
"pld [%0, #128] \n"
"vld1.f32 {d30-d31}, [%0 :128] \n" // sum0
"pld [%1, #192] \n"
"vld1.u16 {d2-d4}, [%1 :64] \n" // r00 r01 r02
"vshll.u16 q0, d2, #16 \n"
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q2, d4, #16 \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmul.f32 q12, q8, d0[0] \n"
"vmul.f32 q13, q9, d0[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmul.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q11, d3[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%2, #192] \n"
"vld1.u16 {d2-d4}, [%2 :64] \n" // r10 r11 r12
"vshll.u16 q0, d2, #16 \n"
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q2, d4, #16 \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q9, d0[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q11, d3[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%3, #192] \n"
"vld1.u16 {d2-d4}, [%3 :64] \n" // r20 r21 r22
"vshll.u16 q0, d2, #16 \n"
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q2, d4, #16 \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q9, d0[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q11, d3[1] \n"
// "pld [%4, #256] \n"
"vld1.u16 {d20-d23}, [%4 :128] \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q11, d5[1] \n"
"add %1, %1, #16 \n"
"vadd.f32 q13, q12, q13 \n"
"add %2, %2, #16 \n"
"vadd.f32 q15, q14, q15 \n"
"add %3, %3, #16 \n"
"vadd.f32 q15, q13, q15 \n"
"sub %4, %4, #256 \n" // kptr -= 8 * 16 * 2;
"vst1.f32 {d30-d31}, [%0 :128]! \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(kptr) // %4
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
}
for (; q < inch; q++)
{
unsigned short* outptr0_bf16 = top_blob.channel(p);
const float* outptr0 = out0.row(0);
const Mat img0 = bottom_blob.channel(q);
const unsigned short* r0 = img0.row<const unsigned short>(0);
const unsigned short* r1 = img0.row<const unsigned short>(1);
const unsigned short* r2 = img0.row<const unsigned short>(2);
const unsigned short* kptr = (const unsigned short*)kernel.channel(p).row<const unsigned short>(q);
#if __aarch64__
// 16 * 9
uint16x8_t _k00_01 = vld1q_u16(kptr);
uint16x8_t _k00_23 = vld1q_u16(kptr + 8);
uint16x8_t _k01_01 = vld1q_u16(kptr + 16);
uint16x8_t _k01_23 = vld1q_u16(kptr + 24);
uint16x8_t _k02_01 = vld1q_u16(kptr + 32);
uint16x8_t _k02_23 = vld1q_u16(kptr + 40);
uint16x8_t _k10_01 = vld1q_u16(kptr + 48);
uint16x8_t _k10_23 = vld1q_u16(kptr + 56);
uint16x8_t _k11_01 = vld1q_u16(kptr + 64);
uint16x8_t _k11_23 = vld1q_u16(kptr + 72);
uint16x8_t _k12_01 = vld1q_u16(kptr + 80);
uint16x8_t _k12_23 = vld1q_u16(kptr + 88);
uint16x8_t _k20_01 = vld1q_u16(kptr + 96);
uint16x8_t _k20_23 = vld1q_u16(kptr + 104);
uint16x8_t _k21_01 = vld1q_u16(kptr + 112);
uint16x8_t _k21_23 = vld1q_u16(kptr + 120);
uint16x8_t _k22_01 = vld1q_u16(kptr + 128);
uint16x8_t _k22_23 = vld1q_u16(kptr + 136);
#endif // __aarch64__
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v10.4s, v11.4s, v12.4s, v13.4s}, [%1], #64 \n" // sum0 sum1 sum2 sum3
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%2], #64 \n" // r00 r01 r02 r03
"shll v0.4s, v4.4h, #16 \n"
"shll2 v1.4s, v4.8h, #16 \n"
"shll v2.4s, v5.4h, #16 \n"
"shll2 v3.4s, v5.8h, #16 \n"
"shll v4.4s, v6.4h, #16 \n"
"shll2 v5.4s, v6.8h, #16 \n"
"shll v6.4s, v7.4h, #16 \n"
"shll2 v7.4s, v7.8h, #16 \n"
"shll v8.4s, %10.4h, #16 \n"
"shll2 v9.4s, %10.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[0] \n"
"fmla v11.4s, v8.4s, v2.s[0] \n"
"fmla v12.4s, v8.4s, v4.s[0] \n"
"fmla v13.4s, v8.4s, v6.s[0] \n"
"fmla v10.4s, v9.4s, v0.s[1] \n"
"fmla v11.4s, v9.4s, v2.s[1] \n"
"fmla v12.4s, v9.4s, v4.s[1] \n"
"fmla v13.4s, v9.4s, v6.s[1] \n"
"shll v8.4s, %11.4h, #16 \n"
"shll2 v9.4s, %11.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v8.4s, v4.s[2] \n"
"fmla v13.4s, v8.4s, v6.s[2] \n"
"fmla v10.4s, v9.4s, v0.s[3] \n"
"fmla v11.4s, v9.4s, v2.s[3] \n"
"fmla v12.4s, v9.4s, v4.s[3] \n"
"fmla v13.4s, v9.4s, v6.s[3] \n"
"shll v8.4s, %12.4h, #16 \n"
"shll2 v9.4s, %12.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[0] \n"
"fmla v11.4s, v8.4s, v3.s[0] \n"
"fmla v12.4s, v8.4s, v5.s[0] \n"
"fmla v13.4s, v8.4s, v7.s[0] \n"
"fmla v10.4s, v9.4s, v1.s[1] \n"
"fmla v11.4s, v9.4s, v3.s[1] \n"
"fmla v12.4s, v9.4s, v5.s[1] \n"
"fmla v13.4s, v9.4s, v7.s[1] \n"
"shll v8.4s, %13.4h, #16 \n"
"shll2 v9.4s, %13.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v8.4s, v5.s[2] \n"
"fmla v13.4s, v8.4s, v7.s[2] \n"
"fmla v10.4s, v9.4s, v1.s[3] \n"
"fmla v11.4s, v9.4s, v3.s[3] \n"
"fmla v12.4s, v9.4s, v5.s[3] \n"
"fmla v13.4s, v9.4s, v7.s[3] \n"
"prfm pldl1keep, [%2, #64] \n"
"ld1 {v0.4h}, [%2] \n" // r08
"shll v0.4s, v0.4h, #16 \n"
"shll v8.4s, %14.4h, #16 \n"
"shll2 v9.4s, %14.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[0] \n"
"fmla v11.4s, v8.4s, v4.s[0] \n"
"fmla v12.4s, v8.4s, v6.s[0] \n"
"fmla v13.4s, v8.4s, v0.s[0] \n"
"fmla v10.4s, v9.4s, v2.s[1] \n"
"fmla v11.4s, v9.4s, v4.s[1] \n"
"fmla v12.4s, v9.4s, v6.s[1] \n"
"fmla v13.4s, v9.4s, v0.s[1] \n"
"shll v8.4s, %15.4h, #16 \n"
"shll2 v9.4s, %15.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v8.4s, v6.s[2] \n"
"fmla v13.4s, v8.4s, v0.s[2] \n"
"fmla v10.4s, v9.4s, v2.s[3] \n"
"fmla v11.4s, v9.4s, v4.s[3] \n"
"fmla v12.4s, v9.4s, v6.s[3] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%3], #64 \n" // r10 r11 r12 r13
"shll v0.4s, v4.4h, #16 \n"
"shll2 v1.4s, v4.8h, #16 \n"
"shll v2.4s, v5.4h, #16 \n"
"shll2 v3.4s, v5.8h, #16 \n"
"shll v4.4s, v6.4h, #16 \n"
"shll2 v5.4s, v6.8h, #16 \n"
"shll v6.4s, v7.4h, #16 \n"
"shll2 v7.4s, v7.8h, #16 \n"
"shll v8.4s, %16.4h, #16 \n"
"shll2 v9.4s, %16.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[0] \n"
"fmla v11.4s, v8.4s, v2.s[0] \n"
"fmla v12.4s, v8.4s, v4.s[0] \n"
"fmla v13.4s, v8.4s, v6.s[0] \n"
"fmla v10.4s, v9.4s, v0.s[1] \n"
"fmla v11.4s, v9.4s, v2.s[1] \n"
"fmla v12.4s, v9.4s, v4.s[1] \n"
"fmla v13.4s, v9.4s, v6.s[1] \n"
"shll v8.4s, %17.4h, #16 \n"
"shll2 v9.4s, %17.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v8.4s, v4.s[2] \n"
"fmla v13.4s, v8.4s, v6.s[2] \n"
"fmla v10.4s, v9.4s, v0.s[3] \n"
"fmla v11.4s, v9.4s, v2.s[3] \n"
"fmla v12.4s, v9.4s, v4.s[3] \n"
"fmla v13.4s, v9.4s, v6.s[3] \n"
"shll v8.4s, %18.4h, #16 \n"
"shll2 v9.4s, %18.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[0] \n"
"fmla v11.4s, v8.4s, v3.s[0] \n"
"fmla v12.4s, v8.4s, v5.s[0] \n"
"fmla v13.4s, v8.4s, v7.s[0] \n"
"fmla v10.4s, v9.4s, v1.s[1] \n"
"fmla v11.4s, v9.4s, v3.s[1] \n"
"fmla v12.4s, v9.4s, v5.s[1] \n"
"fmla v13.4s, v9.4s, v7.s[1] \n"
"shll v8.4s, %19.4h, #16 \n"
"shll2 v9.4s, %19.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v8.4s, v5.s[2] \n"
"fmla v13.4s, v8.4s, v7.s[2] \n"
"fmla v10.4s, v9.4s, v1.s[3] \n"
"fmla v11.4s, v9.4s, v3.s[3] \n"
"fmla v12.4s, v9.4s, v5.s[3] \n"
"fmla v13.4s, v9.4s, v7.s[3] \n"
"prfm pldl1keep, [%3, #64] \n"
"ld1 {v0.4h}, [%3] \n" // r18
"shll v0.4s, v0.4h, #16 \n"
"shll v8.4s, %20.4h, #16 \n"
"shll2 v9.4s, %20.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[0] \n"
"fmla v11.4s, v8.4s, v4.s[0] \n"
"fmla v12.4s, v8.4s, v6.s[0] \n"
"fmla v13.4s, v8.4s, v0.s[0] \n"
"fmla v10.4s, v9.4s, v2.s[1] \n"
"fmla v11.4s, v9.4s, v4.s[1] \n"
"fmla v12.4s, v9.4s, v6.s[1] \n"
"fmla v13.4s, v9.4s, v0.s[1] \n"
"shll v8.4s, %21.4h, #16 \n"
"shll2 v9.4s, %21.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v8.4s, v6.s[2] \n"
"fmla v13.4s, v8.4s, v0.s[2] \n"
"fmla v10.4s, v9.4s, v2.s[3] \n"
"fmla v11.4s, v9.4s, v4.s[3] \n"
"fmla v12.4s, v9.4s, v6.s[3] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%4], #64 \n" // r20 r21 r22 r23
"shll v0.4s, v4.4h, #16 \n"
"shll2 v1.4s, v4.8h, #16 \n"
"shll v2.4s, v5.4h, #16 \n"
"shll2 v3.4s, v5.8h, #16 \n"
"shll v4.4s, v6.4h, #16 \n"
"shll2 v5.4s, v6.8h, #16 \n"
"shll v6.4s, v7.4h, #16 \n"
"shll2 v7.4s, v7.8h, #16 \n"
"shll v8.4s, %22.4h, #16 \n"
"shll2 v9.4s, %22.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[0] \n"
"fmla v11.4s, v8.4s, v2.s[0] \n"
"fmla v12.4s, v8.4s, v4.s[0] \n"
"fmla v13.4s, v8.4s, v6.s[0] \n"
"fmla v10.4s, v9.4s, v0.s[1] \n"
"fmla v11.4s, v9.4s, v2.s[1] \n"
"fmla v12.4s, v9.4s, v4.s[1] \n"
"fmla v13.4s, v9.4s, v6.s[1] \n"
"shll v8.4s, %23.4h, #16 \n"
"shll2 v9.4s, %23.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v8.4s, v4.s[2] \n"
"fmla v13.4s, v8.4s, v6.s[2] \n"
"fmla v10.4s, v9.4s, v0.s[3] \n"
"fmla v11.4s, v9.4s, v2.s[3] \n"
"fmla v12.4s, v9.4s, v4.s[3] \n"
"fmla v13.4s, v9.4s, v6.s[3] \n"
"shll v8.4s, %24.4h, #16 \n"
"shll2 v9.4s, %24.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[0] \n"
"fmla v11.4s, v8.4s, v3.s[0] \n"
"fmla v12.4s, v8.4s, v5.s[0] \n"
"fmla v13.4s, v8.4s, v7.s[0] \n"
"fmla v10.4s, v9.4s, v1.s[1] \n"
"fmla v11.4s, v9.4s, v3.s[1] \n"
"fmla v12.4s, v9.4s, v5.s[1] \n"
"fmla v13.4s, v9.4s, v7.s[1] \n"
"shll v8.4s, %25.4h, #16 \n"
"shll2 v9.4s, %25.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v8.4s, v5.s[2] \n"
"fmla v13.4s, v8.4s, v7.s[2] \n"
"fmla v10.4s, v9.4s, v1.s[3] \n"
"fmla v11.4s, v9.4s, v3.s[3] \n"
"fmla v12.4s, v9.4s, v5.s[3] \n"
"fmla v13.4s, v9.4s, v7.s[3] \n"
"prfm pldl1keep, [%4, #64] \n"
"ld1 {v0.4h}, [%4] \n" // r28
"shll v0.4s, v0.4h, #16 \n"
"shll v8.4s, %26.4h, #16 \n"
"shll2 v9.4s, %26.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[0] \n"
"fmla v11.4s, v8.4s, v4.s[0] \n"
"fmla v12.4s, v8.4s, v6.s[0] \n"
"fmla v13.4s, v8.4s, v0.s[0] \n"
"fmla v10.4s, v9.4s, v2.s[1] \n"
"fmla v11.4s, v9.4s, v4.s[1] \n"
"fmla v12.4s, v9.4s, v6.s[1] \n"
"fmla v13.4s, v9.4s, v0.s[1] \n"
"shll v8.4s, %27.4h, #16 \n"
"shll2 v9.4s, %27.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v8.4s, v6.s[2] \n"
"fmla v13.4s, v8.4s, v0.s[2] \n"
"fmla v10.4s, v9.4s, v2.s[3] \n"
"fmla v11.4s, v9.4s, v4.s[3] \n"
"fmla v12.4s, v9.4s, v6.s[3] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"shrn v10.4h, v10.4s, #16 \n"
"shrn v11.4h, v11.4s, #16 \n"
"shrn v12.4h, v12.4s, #16 \n"
"shrn v13.4h, v13.4s, #16 \n"
"st1 {v10.4h, v11.4h, v12.4h, v13.4h}, [%0], #32 \n"
: "=r"(outptr0_bf16), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(outptr0_bf16),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k00_01), // %10
"w"(_k00_23), // %11
"w"(_k01_01), // %12
"w"(_k01_23), // %13
"w"(_k02_01), // %14
"w"(_k02_23), // %15
"w"(_k10_01), // %16
"w"(_k10_23), // %17
"w"(_k11_01), // %18
"w"(_k11_23), // %19
"w"(_k12_01), // %20
"w"(_k12_23), // %21
"w"(_k20_01), // %22
"w"(_k20_23), // %23
"w"(_k21_01), // %24
"w"(_k21_23), // %25
"w"(_k22_01), // %26
"w"(_k22_23) // %27
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13");
#else // __aarch64__
asm volatile(
"pld [%1, #512] \n"
"vldm %1!, {d24-d31} \n" // sum0 sum1 sum2 sum3
"pld [%2, #512] \n"
"vldm %2!, {d8-d15} \n" // r00 r01 r02 r03 r04 r05 r06 r07
"vshll.u16 q0, d8, #16 \n"
"vshll.u16 q1, d9, #16 \n"
"vshll.u16 q2, d10, #16 \n"
"vshll.u16 q3, d11, #16 \n"
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%2, #64] \n"
"vld1.f32 {d1}, [%2 :64] \n" // r08
"vshll.u16 q0, d1, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d0[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d0[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n" // r10 r11 r12 r13 r14 r15 r16 r17
"vshll.u16 q0, d8, #16 \n"
"vshll.u16 q1, d9, #16 \n"
"vshll.u16 q2, d10, #16 \n"
"vshll.u16 q3, d11, #16 \n"
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%3, #64] \n"
"vld1.f32 {d1}, [%3 :64] \n" // r18
"vshll.u16 q0, d1, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d0[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d0[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%4, #256] \n"
"vldm %4!, {d8-d15} \n" // r20 r21 r22 r23 r24 r25 r26 r27
"vshll.u16 q0, d8, #16 \n"
"vshll.u16 q1, d9, #16 \n"
"vshll.u16 q2, d10, #16 \n"
"vshll.u16 q3, d11, #16 \n"
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%4, #64] \n"
"vld1.f32 {d1}, [%4 :64] \n" // r28
"vshll.u16 q0, d1, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
// "pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128] \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d0[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d0[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d1[1] \n"
"sub %5, %5, #256 \n" // kptr -= 8 * 16;
"vshrn.u32 d24, q12, #16 \n"
"vshrn.u32 d25, q13, #16 \n"
"vshrn.u32 d26, q14, #16 \n"
"vshrn.u32 d27, q15, #16 \n"
"vst1.f32 {d24-d27}, [%0 :64]! \n"
: "=r"(outptr0_bf16), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(kptr) // %5
: "0"(outptr0_bf16),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; j + 1 < outw; j += 2)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v12.4s, v13.4s}, [%1], #32 \n" // sum0 sum1
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v0.4h, v1.4h, v2.4h, v3.4h}, [%2], #32 \n" // r00 r01 r02 r03
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v3.4s, v3.4h, #16 \n"
"shll v6.4s, %10.4h, #16 \n"
"shll2 v7.4s, %10.8h, #16 \n"
"fmul v10.4s, v6.4s, v0.s[0] \n"
"fmul v11.4s, v6.4s, v2.s[0] \n"
"fmla v12.4s, v7.4s, v0.s[1] \n"
"fmla v13.4s, v7.4s, v2.s[1] \n"
"shll v8.4s, %11.4h, #16 \n"
"shll2 v9.4s, %11.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v9.4s, v0.s[3] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"prfm pldl1keep, [%2, #64] \n"
"ld1 {v4.4h}, [%2] \n" // r04
"shll v4.4s, v4.4h, #16 \n"
"shll v6.4s, %12.4h, #16 \n"
"shll2 v7.4s, %12.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v6.4s, v3.s[0] \n"
"fmla v12.4s, v7.4s, v1.s[1] \n"
"fmla v13.4s, v7.4s, v3.s[1] \n"
"shll v8.4s, %13.4h, #16 \n"
"shll2 v9.4s, %13.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v9.4s, v1.s[3] \n"
"fmla v13.4s, v9.4s, v3.s[3] \n"
"shll v6.4s, %14.4h, #16 \n"
"shll2 v7.4s, %14.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v6.4s, v4.s[0] \n"
"fmla v12.4s, v7.4s, v2.s[1] \n"
"fmla v13.4s, v7.4s, v4.s[1] \n"
"shll v8.4s, %15.4h, #16 \n"
"shll2 v9.4s, %15.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v9.4s, v2.s[3] \n"
"fmla v13.4s, v9.4s, v4.s[3] \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v0.4h, v1.4h, v2.4h, v3.4h}, [%3], #32 \n" // r10 r11 r12 r13
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v3.4s, v3.4h, #16 \n"
"shll v6.4s, %16.4h, #16 \n"
"shll2 v7.4s, %16.8h, #16 \n"
"fmla v10.4s, v6.4s, v0.s[0] \n"
"fmla v11.4s, v6.4s, v2.s[0] \n"
"fmla v12.4s, v7.4s, v0.s[1] \n"
"fmla v13.4s, v7.4s, v2.s[1] \n"
"shll v8.4s, %17.4h, #16 \n"
"shll2 v9.4s, %17.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v9.4s, v0.s[3] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"prfm pldl1keep, [%3, #64] \n"
"ld1 {v4.4h}, [%3] \n" // r14
"shll v4.4s, v4.4h, #16 \n"
"shll v6.4s, %18.4h, #16 \n"
"shll2 v7.4s, %18.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v6.4s, v3.s[0] \n"
"fmla v12.4s, v7.4s, v1.s[1] \n"
"fmla v13.4s, v7.4s, v3.s[1] \n"
"shll v8.4s, %19.4h, #16 \n"
"shll2 v9.4s, %19.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v9.4s, v1.s[3] \n"
"fmla v13.4s, v9.4s, v3.s[3] \n"
"shll v6.4s, %20.4h, #16 \n"
"shll2 v7.4s, %20.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v6.4s, v4.s[0] \n"
"fmla v12.4s, v7.4s, v2.s[1] \n"
"fmla v13.4s, v7.4s, v4.s[1] \n"
"shll v8.4s, %21.4h, #16 \n"
"shll2 v9.4s, %21.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v9.4s, v2.s[3] \n"
"fmla v13.4s, v9.4s, v4.s[3] \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v0.4h, v1.4h, v2.4h, v3.4h}, [%4], #32 \n" // r20 r21 r22 r23
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v3.4s, v3.4h, #16 \n"
"shll v6.4s, %22.4h, #16 \n"
"shll2 v7.4s, %22.8h, #16 \n"
"fmla v10.4s, v6.4s, v0.s[0] \n"
"fmla v11.4s, v6.4s, v2.s[0] \n"
"fmla v12.4s, v7.4s, v0.s[1] \n"
"fmla v13.4s, v7.4s, v2.s[1] \n"
"shll v8.4s, %23.4h, #16 \n"
"shll2 v9.4s, %23.8h, #16 \n"
"fmla v10.4s, v8.4s, v0.s[2] \n"
"fmla v11.4s, v8.4s, v2.s[2] \n"
"fmla v12.4s, v9.4s, v0.s[3] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"prfm pldl1keep, [%4, #64] \n"
"ld1 {v4.4h}, [%4] \n" // r24
"shll v4.4s, v4.4h, #16 \n"
"shll v6.4s, %24.4h, #16 \n"
"shll2 v7.4s, %24.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v6.4s, v3.s[0] \n"
"fmla v12.4s, v7.4s, v1.s[1] \n"
"fmla v13.4s, v7.4s, v3.s[1] \n"
"shll v8.4s, %25.4h, #16 \n"
"shll2 v9.4s, %25.8h, #16 \n"
"fmla v10.4s, v8.4s, v1.s[2] \n"
"fmla v11.4s, v8.4s, v3.s[2] \n"
"fmla v12.4s, v9.4s, v1.s[3] \n"
"fmla v13.4s, v9.4s, v3.s[3] \n"
"shll v6.4s, %26.4h, #16 \n"
"shll2 v7.4s, %26.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v6.4s, v4.s[0] \n"
"fmla v12.4s, v7.4s, v2.s[1] \n"
"fmla v13.4s, v7.4s, v4.s[1] \n"
"shll v8.4s, %27.4h, #16 \n"
"shll2 v9.4s, %27.8h, #16 \n"
"fmla v10.4s, v8.4s, v2.s[2] \n"
"fmla v11.4s, v8.4s, v4.s[2] \n"
"fmla v12.4s, v9.4s, v2.s[3] \n"
"fmla v13.4s, v9.4s, v4.s[3] \n"
"fadd v12.4s, v10.4s, v12.4s \n"
"fadd v13.4s, v11.4s, v13.4s \n"
"shrn v12.4h, v12.4s, #16 \n"
"shrn v13.4h, v13.4s, #16 \n"
"st1 {v12.4h, v13.4h}, [%0], #16 \n"
: "=r"(outptr0_bf16), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(outptr0_bf16),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k00_01), // %10
"w"(_k00_23), // %11
"w"(_k01_01), // %12
"w"(_k01_23), // %13
"w"(_k02_01), // %14
"w"(_k02_23), // %15
"w"(_k10_01), // %16
"w"(_k10_23), // %17
"w"(_k11_01), // %18
"w"(_k11_23), // %19
"w"(_k12_01), // %20
"w"(_k12_23), // %21
"w"(_k20_01), // %22
"w"(_k20_23), // %23
"w"(_k21_01), // %24
"w"(_k21_23), // %25
"w"(_k22_01), // %26
"w"(_k22_23) // %27
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13");
#else // __aarch64__
asm volatile(
"pld [%1, #256] \n"
"vld1.f32 {d28-d31}, [%1 :128]! \n" // sum0 sum1
"pld [%2, #256] \n"
"vld1.u16 {d4-d7}, [%2 :64]! \n" // r00 r01 r02 r03
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmul.f32 q12, q8, d0[0] \n"
"vmul.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%2, #64] \n"
"vld1.f32 {d9}, [%2 :64] \n" // r04
"vshll.u16 q4, d9, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q11, d3[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%3, #256] \n"
"vld1.u16 {d4-d7}, [%3 :64]! \n" // r10 r11 r12 r13
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%3, #64] \n"
"vld1.f32 {d9}, [%3 :64] \n" // r14
"vshll.u16 q4, d9, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q11, d3[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%4, #256] \n"
"vld1.u16 {d4-d7}, [%4 :64]! \n" // r20 r21 r22 r23
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"pld [%4, #64] \n"
"vld1.f32 {d9}, [%4 :64] \n" // r24
"vshll.u16 q4, d9, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q11, d3[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
// "pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128] \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"vadd.f32 q14, q12, q14 \n"
"vadd.f32 q15, q13, q15 \n"
"sub %5, %5, #256 \n" // kptr -= 8 * 16;
"vshrn.u32 d28, q14, #16 \n"
"vshrn.u32 d29, q15, #16 \n"
"vst1.f32 {d28-d29}, [%0 :64]! \n"
: "=r"(outptr0_bf16), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(kptr) // %5
: "0"(outptr0_bf16),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; j < outw; j++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v13.4s}, [%1], #16 \n" // sum0
"prfm pldl1keep, [%2, #192] \n"
"ld1 {v0.4h, v1.4h, v2.4h}, [%2] \n" // r00 r01 r02
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v6.4s, %10.4h, #16 \n"
"shll2 v7.4s, %10.8h, #16 \n"
"fmul v10.4s, v6.4s, v0.s[0] \n"
"fmul v11.4s, v7.4s, v0.s[1] \n"
"shll v8.4s, %11.4h, #16 \n"
"shll2 v9.4s, %11.8h, #16 \n"
"fmul v12.4s, v8.4s, v0.s[2] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"shll v6.4s, %12.4h, #16 \n"
"shll2 v7.4s, %12.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v7.4s, v1.s[1] \n"
"shll v8.4s, %13.4h, #16 \n"
"shll2 v9.4s, %13.8h, #16 \n"
"fmla v12.4s, v8.4s, v1.s[2] \n"
"fmla v13.4s, v9.4s, v1.s[3] \n"
"shll v6.4s, %14.4h, #16 \n"
"shll2 v7.4s, %14.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v7.4s, v2.s[1] \n"
"shll v8.4s, %15.4h, #16 \n"
"shll2 v9.4s, %15.8h, #16 \n"
"fmla v12.4s, v8.4s, v2.s[2] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"prfm pldl1keep, [%3, #192] \n"
"ld1 {v3.4h, v4.4h, v5.4h}, [%3] \n" // r10 r11 r12
"shll v3.4s, v3.4h, #16 \n"
"shll v4.4s, v4.4h, #16 \n"
"shll v5.4s, v5.4h, #16 \n"
"shll v6.4s, %16.4h, #16 \n"
"shll2 v7.4s, %16.8h, #16 \n"
"fmla v10.4s, v6.4s, v3.s[0] \n"
"fmla v11.4s, v7.4s, v3.s[1] \n"
"shll v8.4s, %17.4h, #16 \n"
"shll2 v9.4s, %17.8h, #16 \n"
"fmla v12.4s, v8.4s, v3.s[2] \n"
"fmla v13.4s, v9.4s, v3.s[3] \n"
"shll v6.4s, %18.4h, #16 \n"
"shll2 v7.4s, %18.8h, #16 \n"
"fmla v10.4s, v6.4s, v4.s[0] \n"
"fmla v11.4s, v7.4s, v4.s[1] \n"
"shll v8.4s, %19.4h, #16 \n"
"shll2 v9.4s, %19.8h, #16 \n"
"fmla v12.4s, v8.4s, v4.s[2] \n"
"fmla v13.4s, v9.4s, v4.s[3] \n"
"shll v6.4s, %20.4h, #16 \n"
"shll2 v7.4s, %20.8h, #16 \n"
"fmla v10.4s, v6.4s, v5.s[0] \n"
"fmla v11.4s, v7.4s, v5.s[1] \n"
"shll v8.4s, %21.4h, #16 \n"
"shll2 v9.4s, %21.8h, #16 \n"
"fmla v12.4s, v8.4s, v5.s[2] \n"
"fmla v13.4s, v9.4s, v5.s[3] \n"
"prfm pldl1keep, [%4, #192] \n"
"ld1 {v0.4h, v1.4h, v2.4h}, [%4] \n" // r20 r21 r22
"shll v0.4s, v0.4h, #16 \n"
"shll v1.4s, v1.4h, #16 \n"
"shll v2.4s, v2.4h, #16 \n"
"shll v6.4s, %22.4h, #16 \n"
"shll2 v7.4s, %22.8h, #16 \n"
"fmla v10.4s, v6.4s, v0.s[0] \n"
"fmla v11.4s, v7.4s, v0.s[1] \n"
"shll v8.4s, %23.4h, #16 \n"
"shll2 v9.4s, %23.8h, #16 \n"
"fmla v12.4s, v8.4s, v0.s[2] \n"
"fmla v13.4s, v9.4s, v0.s[3] \n"
"shll v6.4s, %24.4h, #16 \n"
"shll2 v7.4s, %24.8h, #16 \n"
"fmla v10.4s, v6.4s, v1.s[0] \n"
"fmla v11.4s, v7.4s, v1.s[1] \n"
"shll v8.4s, %25.4h, #16 \n"
"shll2 v9.4s, %25.8h, #16 \n"
"fmla v12.4s, v8.4s, v1.s[2] \n"
"fmla v13.4s, v9.4s, v1.s[3] \n"
"shll v6.4s, %26.4h, #16 \n"
"shll2 v7.4s, %26.8h, #16 \n"
"fmla v10.4s, v6.4s, v2.s[0] \n"
"fmla v11.4s, v7.4s, v2.s[1] \n"
"shll v8.4s, %27.4h, #16 \n"
"shll2 v9.4s, %27.8h, #16 \n"
"fmla v12.4s, v8.4s, v2.s[2] \n"
"fmla v13.4s, v9.4s, v2.s[3] \n"
"fadd v11.4s, v10.4s, v11.4s \n"
"add %2, %2, #16 \n"
"fadd v13.4s, v12.4s, v13.4s \n"
"add %3, %3, #16 \n"
"fadd v13.4s, v11.4s, v13.4s \n"
"add %4, %4, #16 \n"
"shrn v13.4h, v13.4s, #16 \n"
"st1 {v13.4h}, [%0], #8 \n"
: "=r"(outptr0_bf16), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(outptr0_bf16),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k00_01), // %10
"w"(_k00_23), // %11
"w"(_k01_01), // %12
"w"(_k01_23), // %13
"w"(_k02_01), // %14
"w"(_k02_23), // %15
"w"(_k10_01), // %16
"w"(_k10_23), // %17
"w"(_k11_01), // %18
"w"(_k11_23), // %19
"w"(_k12_01), // %20
"w"(_k12_23), // %21
"w"(_k20_01), // %22
"w"(_k20_23), // %23
"w"(_k21_01), // %24
"w"(_k21_23), // %25
"w"(_k22_01), // %26
"w"(_k22_23) // %27
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13");
#else // __aarch64__
asm volatile(
"pld [%1, #128] \n"
"vld1.f32 {d30-d31}, [%1 :128]! \n" // sum0
"pld [%2, #192] \n"
"vld1.u16 {d2-d4}, [%2 :64] \n" // r00 r01 r02
"vshll.u16 q0, d2, #16 \n"
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q2, d4, #16 \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmul.f32 q12, q8, d0[0] \n"
"vmul.f32 q13, q9, d0[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmul.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q11, d3[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%3, #192] \n"
"vld1.u16 {d2-d4}, [%3 :64] \n" // r10 r11 r12
"vshll.u16 q0, d2, #16 \n"
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q2, d4, #16 \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q9, d0[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q11, d3[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%4, #192] \n"
"vld1.u16 {d2-d4}, [%4 :64] \n" // r20 r21 r22
"vshll.u16 q0, d2, #16 \n"
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q2, d4, #16 \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q9, d0[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128]! \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q11, d3[1] \n"
// "pld [%5, #256] \n"
"vld1.u16 {d20-d23}, [%5 :128] \n"
"vshll.u16 q8, d20, #16 \n"
"vshll.u16 q9, d21, #16 \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vshll.u16 q10, d22, #16 \n"
"vshll.u16 q11, d23, #16 \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q11, d5[1] \n"
"add %2, %2, #16 \n"
"vadd.f32 q13, q12, q13 \n"
"add %3, %3, #16 \n"
"vadd.f32 q15, q14, q15 \n"
"add %4, %4, #16 \n"
"vadd.f32 q15, q13, q15 \n"
"sub %5, %5, #256 \n" // kptr -= 8 * 16 * 2;
"vshrn.u32 d31, q15, #16 \n"
"vst1.u16 {d31}, [%0 :64]! \n"
: "=r"(outptr0_bf16), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(kptr) // %5
: "0"(outptr0_bf16),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
}
}
}
|
teams_notarget_get_team_num.c | #include <stdlib.h>
#include <stdio.h>
#include <omp.h>
#define N 10000
#define TOTAL_TEAMS 16
int main() {
int n = N;
int team_id;
int team_counts[TOTAL_TEAMS];
int *a = (int *)malloc(n*sizeof(int));
for (int i = 0; i < TOTAL_TEAMS; i++)
team_counts[i] = 0;
#pragma omp teams distribute num_teams(TOTAL_TEAMS)
for(int i = 0; i < n; i++) {
team_id = omp_get_team_num();
a[i] = i;
team_counts[team_id]++;
}
int err = 0;
for(int i = 0; i < n; i++) {
if (a[i] != i) {
printf("Error at %d: a = %d, should be %d\n", i, a[i], i);
err++;
if (err > 10) break;
}
}
for (int i = 0; i < TOTAL_TEAMS; i++) {
if (team_counts[i] != N/TOTAL_TEAMS) {
printf("Team id : %d is not shared with equal work. It is shared"
" with %d iterations\n", i, team_counts[i]);
err++;
}
}
team_id = omp_get_team_num();
// omp_get_team_num() should return 0 when called outside of teams region.
if (team_id != 0) {
printf("omp_get_team_num() : %d expected 0 when omp_get_team_num()"
" called outside of teams region\n", team_id);
err++;
}
return err;
}
|
integral_sync.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;
sum += 4.0/(1.0+x*x);
}
#pragma omp critical
pi += sum*step;
}
finish_time = omp_get_wtime()-init_time;
printf("PI = %f\n", pi);
printf("Time = %f\n", finish_time);
}
|
convolution_1x1_packnto1.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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.
static void conv1x1s1_sgemm_packnto1_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
const int size = w * h;
Mat bottom_im2col = bottom_blob;
bottom_im2col.w = size;
bottom_im2col.h = 1;
im2col_sgemm_packnto1_rvv(bottom_im2col, top_blob, kernel, _bias, opt);
}
static void conv1x1s2_packnto1_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
const int packn = csrr_vlenb() / 4;
const word_type vl = vsetvl_e32m1(packn);
int w = bottom_blob.w;
int channels = bottom_blob.c;
size_t elemsize = bottom_blob.elemsize;
int elempack = bottom_blob.elempack;
int outw = top_blob.w;
int outh = top_blob.h;
const int tailstep = (w - 2 * outw + w) * packn;
Mat bottom_blob_shrinked;
bottom_blob_shrinked.create(outw, outh, channels, elemsize, elempack, opt.workspace_allocator);
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < channels; p++)
{
const float* r0 = bottom_blob.channel(p);
float* outptr = bottom_blob_shrinked.channel(p);
for (int i = 0; i < outh; i++)
{
for (int j = 0; j < outw; j++)
{
vfloat32m1_t _val = vle32_v_f32m1(r0, vl);
vse32_v_f32m1(outptr, _val, vl);
r0 += packn * 2;
outptr += packn;
}
r0 += tailstep;
}
}
conv1x1s1_sgemm_packnto1_rvv(bottom_blob_shrinked, top_blob, kernel, _bias, opt);
}
|
constitute.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC OOO N N SSSSS TTTTT IIIII TTTTT U U TTTTT EEEEE %
% C O O NN N SS T I T U U T E %
% C O O N N N ESSS T I T U U T EEE %
% C O O N NN SS T I T U U T E %
% CCCC OOO N N SSSSS T IIIII T UUU T EEEEE %
% %
% %
% MagickCore Methods to Consitute an Image %
% %
% Software Design %
% Cristy %
% October 1998 %
% %
% %
% Copyright 1999-2020 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/attribute.h"
#include "MagickCore/blob.h"
#include "MagickCore/blob-private.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/cache.h"
#include "MagickCore/client.h"
#include "MagickCore/coder-private.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/constitute.h"
#include "MagickCore/constitute-private.h"
#include "MagickCore/delegate.h"
#include "MagickCore/geometry.h"
#include "MagickCore/identify.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/magick.h"
#include "MagickCore/memory_.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/policy.h"
#include "MagickCore/profile.h"
#include "MagickCore/profile-private.h"
#include "MagickCore/property.h"
#include "MagickCore/quantum.h"
#include "MagickCore/resize.h"
#include "MagickCore/resource_.h"
#include "MagickCore/semaphore.h"
#include "MagickCore/statistic.h"
#include "MagickCore/stream.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/timer.h"
#include "MagickCore/token.h"
#include "MagickCore/transform.h"
#include "MagickCore/utility.h"
#include "MagickCore/utility-private.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n s t i t u t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConstituteImage() returns an image from the pixel data you supply.
% The pixel data must be in scanline order top-to-bottom. The data can be
% char, short int, int, float, or double. Float and double require the
% pixels to be normalized [0..1], otherwise [0..QuantumRange]. For example, to
% create a 640x480 image from unsigned red-green-blue character data, use:
%
% image = ConstituteImage(640,480,"RGB",CharPixel,pixels,&exception);
%
% The format of the ConstituteImage method is:
%
% Image *ConstituteImage(const size_t columns,const size_t rows,
% const char *map,const StorageType storage,const void *pixels,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o columns: width in pixels of the image.
%
% o rows: height in pixels of the image.
%
% o map: This string reflects the expected ordering of the pixel array.
% It can be any combination or order of R = red, G = green, B = blue,
% A = alpha (0 is transparent), O = opacity (0 is opaque), C = cyan,
% Y = yellow, M = magenta, K = black, I = intensity (for grayscale),
% P = pad.
%
% o storage: Define the data type of the pixels. Float and double types are
% expected to be normalized [0..1] otherwise [0..QuantumRange]. Choose
% from these types: CharPixel, DoublePixel, FloatPixel, IntegerPixel,
% LongPixel, QuantumPixel, or ShortPixel.
%
% o pixels: This array of values contain the pixel components as defined by
% map and type. You must preallocate this array where the expected
% length varies depending on the values of width, height, map, and type.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ConstituteImage(const size_t columns,const size_t rows,
const char *map,const StorageType storage,const void *pixels,
ExceptionInfo *exception)
{
Image
*image;
MagickBooleanType
status;
register ssize_t
i;
size_t
length;
/*
Allocate image structure.
*/
assert(map != (const char *) NULL);
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",map);
assert(pixels != (void *) NULL);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=AcquireImage((ImageInfo *) NULL,exception);
if (image == (Image *) NULL)
return((Image *) NULL);
length=strlen(map);
for (i=0; i < (ssize_t) length; i++)
{
switch (map[i])
{
case 'a':
case 'A':
case 'O':
case 'o':
{
image->alpha_trait=BlendPixelTrait;
break;
}
case 'C':
case 'c':
case 'm':
case 'M':
case 'Y':
case 'y':
case 'K':
case 'k':
{
image->colorspace=CMYKColorspace;
break;
}
case 'I':
case 'i':
{
image->colorspace=GRAYColorspace;
break;
}
default:
{
if (length == 1)
image->colorspace=GRAYColorspace;
break;
}
}
}
status=SetImageExtent(image,columns,rows,exception);
if (status == MagickFalse)
return(DestroyImageList(image));
status=ResetImagePixels(image,exception);
if (status == MagickFalse)
return(DestroyImageList(image));
status=ImportImagePixels(image,0,0,columns,rows,map,storage,pixels,exception);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P i n g I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PingImage() returns all the properties of an image or image sequence
% except for the pixels. It is much faster and consumes far less memory
% than ReadImage(). On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% The format of the PingImage method is:
%
% Image *PingImage(const ImageInfo *image_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: Ping the image defined by the file or filename members of
% this structure.
%
% o exception: return any errors or warnings in this structure.
%
*/
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static size_t PingStream(const Image *magick_unused(image),
const void *magick_unused(pixels),const size_t columns)
{
magick_unreferenced(image);
magick_unreferenced(pixels);
return(columns);
}
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
MagickExport Image *PingImage(const ImageInfo *image_info,
ExceptionInfo *exception)
{
Image
*image;
ImageInfo
*ping_info;
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
ping_info=CloneImageInfo(image_info);
ping_info->ping=MagickTrue;
image=ReadStream(ping_info,&PingStream,exception);
if (image != (Image *) NULL)
{
ResetTimer(&image->timer);
if (ping_info->verbose != MagickFalse)
(void) IdentifyImage(image,stdout,MagickFalse,exception);
}
ping_info=DestroyImageInfo(ping_info);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P i n g I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PingImages() pings one or more images and returns them as an image list.
%
% The format of the PingImage method is:
%
% Image *PingImages(ImageInfo *image_info,const char *filename,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o filename: the image filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PingImages(ImageInfo *image_info,const char *filename,
ExceptionInfo *exception)
{
char
ping_filename[MagickPathExtent];
Image
*image,
*images;
ImageInfo
*read_info;
/*
Ping image list from a file.
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
(void) SetImageOption(image_info,"filename",filename);
(void) CopyMagickString(image_info->filename,filename,MagickPathExtent);
(void) InterpretImageFilename(image_info,(Image *) NULL,image_info->filename,
(int) image_info->scene,ping_filename,exception);
if (LocaleCompare(ping_filename,image_info->filename) != 0)
{
ExceptionInfo
*sans;
ssize_t
extent,
scene;
/*
Images of the form image-%d.png[1-5].
*/
read_info=CloneImageInfo(image_info);
sans=AcquireExceptionInfo();
(void) SetImageInfo(read_info,0,sans);
sans=DestroyExceptionInfo(sans);
if (read_info->number_scenes == 0)
{
read_info=DestroyImageInfo(read_info);
return(PingImage(image_info,exception));
}
(void) CopyMagickString(ping_filename,read_info->filename,
MagickPathExtent);
images=NewImageList();
extent=(ssize_t) (read_info->scene+read_info->number_scenes);
for (scene=(ssize_t) read_info->scene; scene < (ssize_t) extent; scene++)
{
(void) InterpretImageFilename(image_info,(Image *) NULL,ping_filename,
(int) scene,read_info->filename,exception);
image=PingImage(read_info,exception);
if (image == (Image *) NULL)
continue;
AppendImageToList(&images,image);
}
read_info=DestroyImageInfo(read_info);
return(images);
}
return(PingImage(image_info,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e a d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadImage() reads an image or image sequence from a file or file handle.
% The method returns a NULL if there is a memory shortage or if the image
% cannot be read. On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% The format of the ReadImage method is:
%
% Image *ReadImage(const ImageInfo *image_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: Read the image defined by the file or filename members of
% this structure.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType IsCoderAuthorized(const char *coder,
const PolicyRights rights,ExceptionInfo *exception)
{
if (IsRightsAuthorized(CoderPolicyDomain,rights,coder) == MagickFalse)
{
errno=EPERM;
(void) ThrowMagickException(exception,GetMagickModule(),PolicyError,
"NotAuthorized","`%s'",coder);
return(MagickFalse);
}
return(MagickTrue);
}
MagickExport Image *ReadImage(const ImageInfo *image_info,
ExceptionInfo *exception)
{
char
filename[MagickPathExtent],
magick[MagickPathExtent],
magick_filename[MagickPathExtent];
const char
*value;
const DelegateInfo
*delegate_info;
const MagickInfo
*magick_info;
DecodeImageHandler
*decoder;
ExceptionInfo
*sans_exception;
GeometryInfo
geometry_info;
Image
*image,
*next;
ImageInfo
*read_info;
MagickBooleanType
status;
MagickStatusType
flags;
/*
Determine image type from filename prefix or suffix (e.g. image.jpg).
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image_info->filename != (char *) NULL);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
read_info=CloneImageInfo(image_info);
(void) CopyMagickString(magick_filename,read_info->filename,MagickPathExtent);
(void) SetImageInfo(read_info,0,exception);
(void) CopyMagickString(filename,read_info->filename,MagickPathExtent);
(void) CopyMagickString(magick,read_info->magick,MagickPathExtent);
/*
Call appropriate image reader based on image type.
*/
sans_exception=AcquireExceptionInfo();
magick_info=GetMagickInfo(read_info->magick,sans_exception);
if (sans_exception->severity == PolicyError)
magick_info=GetMagickInfo(read_info->magick,exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if (magick_info != (const MagickInfo *) NULL)
{
if (GetMagickEndianSupport(magick_info) == MagickFalse)
read_info->endian=UndefinedEndian;
else
if ((image_info->endian == UndefinedEndian) &&
(GetMagickRawSupport(magick_info) != MagickFalse))
{
unsigned long
lsb_first;
lsb_first=1;
read_info->endian=(*(char *) &lsb_first) == 1 ? LSBEndian :
MSBEndian;
}
}
if ((magick_info != (const MagickInfo *) NULL) &&
(GetMagickDecoderSeekableStream(magick_info) != MagickFalse))
{
image=AcquireImage(read_info,exception);
(void) CopyMagickString(image->filename,read_info->filename,
MagickPathExtent);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
read_info=DestroyImageInfo(read_info);
image=DestroyImage(image);
return((Image *) NULL);
}
if (IsBlobSeekable(image) == MagickFalse)
{
/*
Coder requires a seekable stream.
*/
*read_info->filename='\0';
status=ImageToFile(image,read_info->filename,exception);
if (status == MagickFalse)
{
(void) CloseBlob(image);
read_info=DestroyImageInfo(read_info);
image=DestroyImage(image);
return((Image *) NULL);
}
read_info->temporary=MagickTrue;
}
(void) CloseBlob(image);
image=DestroyImage(image);
}
image=NewImageList();
decoder=GetImageDecoder(magick_info);
if (decoder == (DecodeImageHandler *) NULL)
{
delegate_info=GetDelegateInfo(read_info->magick,(char *) NULL,exception);
if (delegate_info == (const DelegateInfo *) NULL)
{
(void) SetImageInfo(read_info,0,exception);
(void) CopyMagickString(read_info->filename,filename,
MagickPathExtent);
magick_info=GetMagickInfo(read_info->magick,exception);
decoder=GetImageDecoder(magick_info);
}
}
if (decoder != (DecodeImageHandler *) NULL)
{
/*
Call appropriate image reader based on image type.
*/
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(read_info->magick,ReadPolicyRights,exception);
image=(Image *) NULL;
if (status != MagickFalse)
image=decoder(read_info,exception);
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
else
{
delegate_info=GetDelegateInfo(read_info->magick,(char *) NULL,exception);
if (delegate_info == (const DelegateInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"NoDecodeDelegateForThisImageFormat","`%s'",
read_info->magick);
if (read_info->temporary != MagickFalse)
(void) RelinquishUniqueFileResource(read_info->filename);
read_info=DestroyImageInfo(read_info);
return((Image *) NULL);
}
/*
Let our decoding delegate process the image.
*/
image=AcquireImage(read_info,exception);
if (image == (Image *) NULL)
{
read_info=DestroyImageInfo(read_info);
return((Image *) NULL);
}
(void) CopyMagickString(image->filename,read_info->filename,
MagickPathExtent);
*read_info->filename='\0';
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
LockSemaphoreInfo(delegate_info->semaphore);
status=InvokeDelegate(read_info,image,read_info->magick,(char *) NULL,
exception);
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
UnlockSemaphoreInfo(delegate_info->semaphore);
image=DestroyImageList(image);
read_info->temporary=MagickTrue;
if (status != MagickFalse)
(void) SetImageInfo(read_info,0,exception);
magick_info=GetMagickInfo(read_info->magick,exception);
decoder=GetImageDecoder(magick_info);
if (decoder == (DecodeImageHandler *) NULL)
{
if (IsPathAccessible(read_info->filename) != MagickFalse)
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"NoDecodeDelegateForThisImageFormat","`%s'",
read_info->magick);
else
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
read_info->filename);
read_info=DestroyImageInfo(read_info);
return((Image *) NULL);
}
/*
Call appropriate image reader based on image type.
*/
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(read_info->magick,ReadPolicyRights,exception);
image=(Image *) NULL;
if (status != MagickFalse)
image=(decoder)(read_info,exception);
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
if (read_info->temporary != MagickFalse)
{
(void) RelinquishUniqueFileResource(read_info->filename);
read_info->temporary=MagickFalse;
if (image != (Image *) NULL)
(void) CopyMagickString(image->filename,filename,MagickPathExtent);
}
if (image == (Image *) NULL)
{
read_info=DestroyImageInfo(read_info);
return(image);
}
if (exception->severity >= ErrorException)
(void) LogMagickEvent(ExceptionEvent,GetMagickModule(),
"Coder (%s) generated an image despite an error (%d), "
"notify the developers",image->magick,exception->severity);
if (IsBlobTemporary(image) != MagickFalse)
(void) RelinquishUniqueFileResource(read_info->filename);
if ((IsSceneGeometry(read_info->scenes,MagickFalse) != MagickFalse) &&
(GetImageListLength(image) != 1))
{
Image
*clones;
clones=CloneImages(image,read_info->scenes,exception);
if (clones != (Image *) NULL)
{
image=DestroyImageList(image);
image=GetFirstImageInList(clones);
}
}
for (next=image; next != (Image *) NULL; next=GetNextImageInList(next))
{
char
magick_path[MagickPathExtent],
*property,
timestamp[MagickPathExtent];
const char
*option;
const StringInfo
*profile;
ssize_t
option_type;
next->taint=MagickFalse;
GetPathComponent(magick_filename,MagickPath,magick_path);
if (*magick_path == '\0' && *next->magick == '\0')
(void) CopyMagickString(next->magick,magick,MagickPathExtent);
(void) CopyMagickString(next->magick_filename,magick_filename,
MagickPathExtent);
if (IsBlobTemporary(image) != MagickFalse)
(void) CopyMagickString(next->filename,filename,MagickPathExtent);
if (next->magick_columns == 0)
next->magick_columns=next->columns;
if (next->magick_rows == 0)
next->magick_rows=next->rows;
(void) GetImageProperty(next,"exif:*",exception);
(void) GetImageProperty(next,"icc:*",exception);
(void) GetImageProperty(next,"iptc:*",exception);
(void) GetImageProperty(next,"xmp:*",exception);
value=GetImageProperty(next,"exif:Orientation",exception);
if (value == (char *) NULL)
value=GetImageProperty(next,"tiff:Orientation",exception);
if (value != (char *) NULL)
{
next->orientation=(OrientationType) StringToLong(value);
(void) DeleteImageProperty(next,"tiff:Orientation");
(void) DeleteImageProperty(next,"exif:Orientation");
}
value=GetImageProperty(next,"exif:XResolution",exception);
if (value != (char *) NULL)
{
geometry_info.rho=next->resolution.x;
geometry_info.sigma=1.0;
flags=ParseGeometry(value,&geometry_info);
if (geometry_info.sigma != 0)
next->resolution.x=geometry_info.rho/geometry_info.sigma;
if (strchr(value,',') != (char *) NULL)
next->resolution.x=geometry_info.rho+geometry_info.sigma/1000.0;
(void) DeleteImageProperty(next,"exif:XResolution");
}
value=GetImageProperty(next,"exif:YResolution",exception);
if (value != (char *) NULL)
{
geometry_info.rho=next->resolution.y;
geometry_info.sigma=1.0;
flags=ParseGeometry(value,&geometry_info);
if (geometry_info.sigma != 0)
next->resolution.y=geometry_info.rho/geometry_info.sigma;
if (strchr(value,',') != (char *) NULL)
next->resolution.y=geometry_info.rho+geometry_info.sigma/1000.0;
(void) DeleteImageProperty(next,"exif:YResolution");
}
value=GetImageProperty(next,"exif:ResolutionUnit",exception);
if (value == (char *) NULL)
value=GetImageProperty(next,"tiff:ResolutionUnit",exception);
if (value != (char *) NULL)
{
option_type=ParseCommandOption(MagickResolutionOptions,MagickFalse,
value);
if (option_type >= 0)
next->units=(ResolutionType) option_type;
(void) DeleteImageProperty(next,"exif:ResolutionUnit");
(void) DeleteImageProperty(next,"tiff:ResolutionUnit");
}
if (next->page.width == 0)
next->page.width=next->columns;
if (next->page.height == 0)
next->page.height=next->rows;
option=GetImageOption(read_info,"caption");
if (option != (const char *) NULL)
{
property=InterpretImageProperties(read_info,next,option,exception);
(void) SetImageProperty(next,"caption",property,exception);
property=DestroyString(property);
}
option=GetImageOption(read_info,"comment");
if (option != (const char *) NULL)
{
property=InterpretImageProperties(read_info,next,option,exception);
(void) SetImageProperty(next,"comment",property,exception);
property=DestroyString(property);
}
option=GetImageOption(read_info,"label");
if (option != (const char *) NULL)
{
property=InterpretImageProperties(read_info,next,option,exception);
(void) SetImageProperty(next,"label",property,exception);
property=DestroyString(property);
}
if (LocaleCompare(next->magick,"TEXT") == 0)
(void) ParseAbsoluteGeometry("0x0+0+0",&next->page);
if ((read_info->extract != (char *) NULL) &&
(read_info->stream == (StreamHandler) NULL))
{
RectangleInfo
geometry;
SetGeometry(next,&geometry);
flags=ParseAbsoluteGeometry(read_info->extract,&geometry);
if ((next->columns != geometry.width) ||
(next->rows != geometry.height))
{
if (((flags & XValue) != 0) || ((flags & YValue) != 0))
{
Image
*crop_image;
crop_image=CropImage(next,&geometry,exception);
if (crop_image != (Image *) NULL)
ReplaceImageInList(&next,crop_image);
}
else
if (((flags & WidthValue) != 0) || ((flags & HeightValue) != 0))
{
Image
*size_image;
flags=ParseRegionGeometry(next,read_info->extract,&geometry,
exception);
size_image=ResizeImage(next,geometry.width,geometry.height,
next->filter,exception);
if (size_image != (Image *) NULL)
ReplaceImageInList(&next,size_image);
}
}
}
profile=GetImageProfile(next,"icc");
if (profile == (const StringInfo *) NULL)
profile=GetImageProfile(next,"icm");
profile=GetImageProfile(next,"iptc");
if (profile == (const StringInfo *) NULL)
profile=GetImageProfile(next,"8bim");
(void) FormatMagickTime((time_t) GetBlobProperties(next)->st_mtime,
MagickPathExtent,timestamp);
(void) SetImageProperty(next,"date:modify",timestamp,exception);
(void) FormatMagickTime((time_t) GetBlobProperties(next)->st_ctime,
MagickPathExtent,timestamp);
(void) SetImageProperty(next,"date:create",timestamp,exception);
option=GetImageOption(image_info,"delay");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
if ((flags & GreaterValue) != 0)
{
if (next->delay > (size_t) floor(geometry_info.rho+0.5))
next->delay=(size_t) floor(geometry_info.rho+0.5);
}
else
if ((flags & LessValue) != 0)
{
if (next->delay < (size_t) floor(geometry_info.rho+0.5))
next->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
}
else
next->delay=(size_t) floor(geometry_info.rho+0.5);
if ((flags & SigmaValue) != 0)
next->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
}
option=GetImageOption(image_info,"dispose");
if (option != (const char *) NULL)
{
option_type=ParseCommandOption(MagickDisposeOptions,MagickFalse,
option);
if (option_type >= 0)
next->dispose=(DisposeType) option_type;
}
if (read_info->verbose != MagickFalse)
(void) IdentifyImage(next,stderr,MagickFalse,exception);
image=next;
}
read_info=DestroyImageInfo(read_info);
return(GetFirstImageInList(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e a d I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadImages() reads one or more images and returns them as an image list.
%
% The format of the ReadImage method is:
%
% Image *ReadImages(ImageInfo *image_info,const char *filename,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o filename: the image filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ReadImages(ImageInfo *image_info,const char *filename,
ExceptionInfo *exception)
{
char
read_filename[MagickPathExtent];
Image
*image,
*images;
ImageInfo
*read_info;
/*
Read image list from a file.
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
read_info=CloneImageInfo(image_info);
*read_info->magick='\0';
(void) SetImageOption(read_info,"filename",filename);
(void) CopyMagickString(read_info->filename,filename,MagickPathExtent);
(void) InterpretImageFilename(read_info,(Image *) NULL,filename,
(int) read_info->scene,read_filename,exception);
if (LocaleCompare(read_filename,read_info->filename) != 0)
{
ExceptionInfo
*sans;
ssize_t
extent,
scene;
/*
Images of the form image-%d.png[1-5].
*/
sans=AcquireExceptionInfo();
(void) SetImageInfo(read_info,0,sans);
sans=DestroyExceptionInfo(sans);
if (read_info->number_scenes != 0)
{
(void) CopyMagickString(read_filename,read_info->filename,
MagickPathExtent);
images=NewImageList();
extent=(ssize_t) (read_info->scene+read_info->number_scenes);
scene=(ssize_t) read_info->scene;
for ( ; scene < (ssize_t) extent; scene++)
{
(void) InterpretImageFilename(image_info,(Image *) NULL,
read_filename,(int) scene,read_info->filename,exception);
image=ReadImage(read_info,exception);
if (image == (Image *) NULL)
continue;
AppendImageToList(&images,image);
}
read_info=DestroyImageInfo(read_info);
return(images);
}
}
(void) CopyMagickString(read_info->filename,filename,MagickPathExtent);
image=ReadImage(read_info,exception);
read_info=DestroyImageInfo(read_info);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e a d I n l i n e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadInlineImage() reads a Base64-encoded inline image or image sequence.
% The method returns a NULL if there is a memory shortage or if the image
% cannot be read. On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% The format of the ReadInlineImage method is:
%
% Image *ReadInlineImage(const ImageInfo *image_info,const char *content,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o content: the image encoded in Base64.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ReadInlineImage(const ImageInfo *image_info,
const char *content,ExceptionInfo *exception)
{
Image
*image;
ImageInfo
*read_info;
unsigned char
*blob;
size_t
length;
register const char
*p;
/*
Skip over header (e.g. data:image/gif;base64,).
*/
image=NewImageList();
for (p=content; (*p != ',') && (*p != '\0'); p++) ;
if (*p == '\0')
ThrowReaderException(CorruptImageError,"CorruptImage");
p++;
length=0;
blob=Base64Decode(p,&length);
if (length == 0)
{
blob=(unsigned char *) RelinquishMagickMemory(blob);
ThrowReaderException(CorruptImageError,"CorruptImage");
}
read_info=CloneImageInfo(image_info);
(void) SetImageInfoProgressMonitor(read_info,(MagickProgressMonitor) NULL,
(void *) NULL);
*read_info->filename='\0';
*read_info->magick='\0';
image=BlobToImage(read_info,blob,length,exception);
blob=(unsigned char *) RelinquishMagickMemory(blob);
read_info=DestroyImageInfo(read_info);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W r i t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WriteImage() writes an image or an image sequence to a file or file handle.
% If writing to a file is on disk, the name is defined by the filename member
% of the image structure. WriteImage() returns MagickFalse is there is a
% memory shortage or if the image cannot be written. Check the exception
% member of image to determine the cause for any failure.
%
% The format of the WriteImage method is:
%
% MagickBooleanType WriteImage(const ImageInfo *image_info,Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType WriteImage(const ImageInfo *image_info,
Image *image,ExceptionInfo *exception)
{
char
filename[MagickPathExtent];
const char
*option;
const DelegateInfo
*delegate_info;
const MagickInfo
*magick_info;
EncodeImageHandler
*encoder;
ExceptionInfo
*sans_exception;
ImageInfo
*write_info;
MagickBooleanType
status,
temporary;
/*
Determine image type from filename prefix or suffix (e.g. image.jpg).
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
sans_exception=AcquireExceptionInfo();
write_info=CloneImageInfo(image_info);
(void) CopyMagickString(write_info->filename,image->filename,
MagickPathExtent);
(void) SetImageInfo(write_info,1,sans_exception);
if (*write_info->magick == '\0')
(void) CopyMagickString(write_info->magick,image->magick,MagickPathExtent);
(void) CopyMagickString(filename,image->filename,MagickPathExtent);
(void) CopyMagickString(image->filename,write_info->filename,
MagickPathExtent);
/*
Call appropriate image writer based on image type.
*/
magick_info=GetMagickInfo(write_info->magick,sans_exception);
if (sans_exception->severity == PolicyError)
magick_info=GetMagickInfo(write_info->magick,exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if (magick_info != (const MagickInfo *) NULL)
{
if (GetMagickEndianSupport(magick_info) == MagickFalse)
image->endian=UndefinedEndian;
else
if ((image_info->endian == UndefinedEndian) &&
(GetMagickRawSupport(magick_info) != MagickFalse))
{
unsigned long
lsb_first;
lsb_first=1;
image->endian=(*(char *) &lsb_first) == 1 ? LSBEndian : MSBEndian;
}
}
(void) SyncImageProfiles(image);
DisassociateImageStream(image);
option=GetImageOption(image_info,"delegate:bimodal");
if ((IsStringTrue(option) != MagickFalse) &&
(write_info->page == (char *) NULL) &&
(GetPreviousImageInList(image) == (Image *) NULL) &&
(GetNextImageInList(image) == (Image *) NULL) &&
(IsTaintImage(image) == MagickFalse) )
{
delegate_info=GetDelegateInfo(image->magick,write_info->magick,exception);
if ((delegate_info != (const DelegateInfo *) NULL) &&
(GetDelegateMode(delegate_info) == 0) &&
(IsPathAccessible(image->magick_filename) != MagickFalse))
{
/*
Process image with bi-modal delegate.
*/
(void) CopyMagickString(image->filename,image->magick_filename,
MagickPathExtent);
status=InvokeDelegate(write_info,image,image->magick,
write_info->magick,exception);
write_info=DestroyImageInfo(write_info);
(void) CopyMagickString(image->filename,filename,MagickPathExtent);
return(status);
}
}
status=MagickFalse;
temporary=MagickFalse;
if ((magick_info != (const MagickInfo *) NULL) &&
(GetMagickEncoderSeekableStream(magick_info) != MagickFalse))
{
char
image_filename[MagickPathExtent];
(void) CopyMagickString(image_filename,image->filename,MagickPathExtent);
status=OpenBlob(image_info,image,WriteBinaryBlobMode,exception);
(void) CopyMagickString(image->filename, image_filename,MagickPathExtent);
if (status != MagickFalse)
{
if (IsBlobSeekable(image) == MagickFalse)
{
/*
A seekable stream is required by the encoder.
*/
write_info->adjoin=MagickTrue;
(void) CopyMagickString(write_info->filename,image->filename,
MagickPathExtent);
(void) AcquireUniqueFilename(image->filename);
temporary=MagickTrue;
}
(void) CloseBlob(image);
}
}
encoder=GetImageEncoder(magick_info);
if (encoder != (EncodeImageHandler *) NULL)
{
/*
Call appropriate image writer based on image type.
*/
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(write_info->magick,WritePolicyRights,exception);
if (status != MagickFalse)
status=encoder(write_info,image,exception);
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
else
{
delegate_info=GetDelegateInfo((char *) NULL,write_info->magick,exception);
if (delegate_info != (DelegateInfo *) NULL)
{
/*
Process the image with delegate.
*/
*write_info->filename='\0';
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
LockSemaphoreInfo(delegate_info->semaphore);
status=InvokeDelegate(write_info,image,(char *) NULL,
write_info->magick,exception);
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
UnlockSemaphoreInfo(delegate_info->semaphore);
(void) CopyMagickString(image->filename,filename,MagickPathExtent);
}
else
{
sans_exception=AcquireExceptionInfo();
magick_info=GetMagickInfo(write_info->magick,sans_exception);
if (sans_exception->severity == PolicyError)
magick_info=GetMagickInfo(write_info->magick,exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if ((write_info->affirm == MagickFalse) &&
(magick_info == (const MagickInfo *) NULL))
{
(void) CopyMagickString(write_info->magick,image->magick,
MagickPathExtent);
magick_info=GetMagickInfo(write_info->magick,exception);
}
encoder=GetImageEncoder(magick_info);
if (encoder == (EncodeImageHandler *) NULL)
{
char
extension[MagickPathExtent];
GetPathComponent(image->filename,ExtensionPath,extension);
if (*extension != '\0')
magick_info=GetMagickInfo(extension,exception);
else
magick_info=GetMagickInfo(image->magick,exception);
(void) CopyMagickString(image->filename,filename,
MagickPathExtent);
encoder=GetImageEncoder(magick_info);
}
if (encoder == (EncodeImageHandler *) NULL)
{
magick_info=GetMagickInfo(image->magick,exception);
encoder=GetImageEncoder(magick_info);
if (encoder == (EncodeImageHandler *) NULL)
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"NoEncodeDelegateForThisImageFormat",
"`%s'",write_info->magick);
}
if (encoder != (EncodeImageHandler *) NULL)
{
/*
Call appropriate image writer based on image type.
*/
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(write_info->magick,WritePolicyRights,
exception);
if (status != MagickFalse)
status=encoder(write_info,image,exception);
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
}
}
if (temporary != MagickFalse)
{
/*
Copy temporary image file to permanent.
*/
status=OpenBlob(write_info,image,ReadBinaryBlobMode,exception);
if (status != MagickFalse)
{
(void) RelinquishUniqueFileResource(write_info->filename);
status=ImageToFile(image,write_info->filename,exception);
}
(void) CloseBlob(image);
(void) RelinquishUniqueFileResource(image->filename);
(void) CopyMagickString(image->filename,write_info->filename,
MagickPathExtent);
}
if ((LocaleCompare(write_info->magick,"info") != 0) &&
(write_info->verbose != MagickFalse))
(void) IdentifyImage(image,stdout,MagickFalse,exception);
write_info=DestroyImageInfo(write_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W r i t e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WriteImages() writes an image sequence into one or more files. While
% WriteImage() can write an image sequence, it is limited to writing
% the sequence into a single file using a format which supports multiple
% frames. WriteImages(), however, does not have this limitation, instead it
% generates multiple output files if necessary (or when requested). When
% ImageInfo's adjoin flag is set to MagickFalse, the file name is expected
% to include a printf-style formatting string for the frame number (e.g.
% "image%02d.png").
%
% The format of the WriteImages method is:
%
% MagickBooleanType WriteImages(const ImageInfo *image_info,Image *images,
% const char *filename,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o images: the image list.
%
% o filename: the image filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType WriteImages(const ImageInfo *image_info,
Image *images,const char *filename,ExceptionInfo *exception)
{
#define WriteImageTag "Write/Image"
ExceptionInfo
*sans_exception;
ImageInfo
*write_info;
MagickBooleanType
proceed;
MagickOffsetType
progress;
MagickProgressMonitor
progress_monitor;
MagickSizeType
number_images;
MagickStatusType
status;
register Image
*p;
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
write_info=CloneImageInfo(image_info);
*write_info->magick='\0';
images=GetFirstImageInList(images);
if (filename != (const char *) NULL)
for (p=images; p != (Image *) NULL; p=GetNextImageInList(p))
(void) CopyMagickString(p->filename,filename,MagickPathExtent);
(void) CopyMagickString(write_info->filename,images->filename,
MagickPathExtent);
sans_exception=AcquireExceptionInfo();
(void) SetImageInfo(write_info,(unsigned int) GetImageListLength(images),
sans_exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if (*write_info->magick == '\0')
(void) CopyMagickString(write_info->magick,images->magick,MagickPathExtent);
p=images;
for ( ; GetNextImageInList(p) != (Image *) NULL; p=GetNextImageInList(p))
{
register Image
*next;
next=GetNextImageInList(p);
if (next == (Image *) NULL)
break;
if (p->scene >= next->scene)
{
register ssize_t
i;
/*
Generate consistent scene numbers.
*/
i=(ssize_t) images->scene;
for (p=images; p != (Image *) NULL; p=GetNextImageInList(p))
p->scene=(size_t) i++;
break;
}
}
/*
Write images.
*/
status=MagickTrue;
progress_monitor=(MagickProgressMonitor) NULL;
progress=0;
number_images=GetImageListLength(images);
for (p=images; p != (Image *) NULL; p=GetNextImageInList(p))
{
if (number_images != 1)
progress_monitor=SetImageProgressMonitor(p,(MagickProgressMonitor) NULL,
p->client_data);
status&=WriteImage(write_info,p,exception);
if (number_images != 1)
(void) SetImageProgressMonitor(p,progress_monitor,p->client_data);
if (write_info->adjoin != MagickFalse)
break;
if (number_images != 1)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(p,WriteImageTag,progress,number_images);
if (proceed == MagickFalse)
break;
}
}
write_info=DestroyImageInfo(write_info);
return(status != 0 ? MagickTrue : MagickFalse);
}
|
tetrahedron_method.c | /* tetrahedron_method.c */
/* Copyright (C) 2014 Atsushi Togo */
#include "mathfunc.h"
#include "kpoint.h"
#ifdef THMWARNING
#include <stdio.h>
#define warning_print(...) fprintf(stderr,__VA_ARGS__)
#else
#define warning_print(...)
#endif
/* 6-------7 */
/* /| /| */
/* / | / | */
/* 4-------5 | */
/* | 2----|--3 */
/* | / | / */
/* |/ |/ */
/* 0-------1 */
/* */
/* i: vec neighbours */
/* 0: O 1, 2, 4 */
/* 1: a 0, 3, 5 */
/* 2: b 0, 3, 6 */
/* 3: a + b 1, 2, 7 */
/* 4: c 0, 5, 6 */
/* 5: c + a 1, 4, 7 */
/* 6: c + b 2, 4, 7 */
/* 7: c + a + b 3, 5, 6 */
static int main_diagonals[4][3] = {{ 1, 1, 1}, /* 0-7 */
{-1, 1, 1}, /* 1-6 */
{ 1,-1, 1}, /* 2-5 */
{ 1, 1,-1}}; /* 3-4 */
static int db_relative_grid_address[4][24][4][3] = {
{
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 1, 0}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 0, 1}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 1, 1, 0}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 1, 1}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 1, 0, 1}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 0, 1, 1}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 1, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 0, 1, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 0, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 1, 0, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, 1}, {-1, -1, 0}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, 1}, {-1, -1, 0}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 1, 0}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 1, 1, 0}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 0, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 0, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, -1, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, -1, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, -1}, { 0, -1, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, {-1, -1, -1}, { 0, -1, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, -1}, {-1, 0, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, {-1, -1, -1}, {-1, 0, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, -1, -1}, {-1, -1, 0}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, -1}, {-1, -1, 0}, {-1, 0, 0}, },
},
{
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 1, 0}, { 0, 1, 1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 0, 1}, { 0, 1, 1}, },
{ { 0, 0, 0}, {-1, 1, 0}, {-1, 1, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 0, 1}, {-1, 1, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 1, 0}, {-1, 1, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 1, 1}, { 0, 1, 1}, },
{ { 0, 0, 0}, {-1, 0, 1}, { 0, 0, 1}, {-1, 1, 1}, },
{ { 0, 0, 0}, { 0, 0, 1}, {-1, 1, 1}, { 0, 1, 1}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 0, -1, 0}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 0, 1}, { 1, -1, 0}, },
{ { 0, 0, 0}, {-1, 0, 1}, { 0, -1, 0}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 0, 1}, { 0, 0, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 0, -1}, { 1, 0, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 1, 0}, { 1, 0, -1}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 0, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 1, 0}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, -1, -1}, { 1, -1, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, -1, -1}, { 1, -1, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 1, -1, -1}, { 0, 0, -1}, { 1, 0, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, -1, -1}, { 1, 0, -1}, },
{ { 0, 0, 0}, { 1, -1, -1}, { 0, -1, 0}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, -1, -1}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 0, -1, -1}, { 0, 0, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, -1, -1}, { 0, -1, 0}, {-1, 0, 0}, },
},
{
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 1, 0}, { 1, 0, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 0, 1}, { 1, 0, 1}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 0, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 1, 0}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 1, -1, 1}, { 0, -1, 0}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 0, -1, 1}, { 1, -1, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, -1, 1}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, -1, 1}, { 1, 0, 1}, },
{ { 0, 0, 0}, { 0, -1, 1}, { 1, -1, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 1, -1, 1}, { 0, 0, 1}, { 1, 0, 1}, },
{ { 0, 0, 0}, { 0, -1, 1}, { 0, -1, 0}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, -1, 1}, { 0, 0, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 0, -1}, { 0, 1, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 1, 0}, { 0, 1, -1}, },
{ { 0, 0, 0}, {-1, 0, -1}, { 0, 0, -1}, {-1, 1, -1}, },
{ { 0, 0, 0}, {-1, 0, -1}, {-1, 1, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 0, -1}, {-1, 1, -1}, { 0, 1, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 1, -1}, { 0, 1, -1}, },
{ { 0, 0, 0}, {-1, 1, 0}, {-1, 1, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 1, 0}, {-1, 1, -1}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 0, -1, 0}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 0, -1}, { 1, -1, 0}, },
{ { 0, 0, 0}, {-1, 0, -1}, { 0, 0, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, 0, -1}, { 0, -1, 0}, {-1, 0, 0}, },
},
{
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 1, 0}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 1, 1, 0}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 0, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 0, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, -1, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, -1, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, {-1, -1, 1}, {-1, -1, 0}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, 1}, {-1, -1, 0}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, -1, 1}, { 0, -1, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, 1}, {-1, 0, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, -1, 1}, { 0, -1, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, {-1, -1, 1}, {-1, 0, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 1, 0, -1}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 0, 1, -1}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 0, -1}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 1, -1}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 1, 0}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 1, 1, 0}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 0, 1, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 1, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 1, 0, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 0, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, -1}, {-1, -1, 0}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, -1}, {-1, -1, 0}, {-1, 0, 0}, },
},
};
static void
get_integration_weight_at_omegas(double *integration_weights,
const int num_omegas,
const double *omegas,
SPGCONST double tetrahedra_omegas[24][4],
double (*gn)(const int,
const double,
const double[4]),
double (*IJ)(const int,
const int,
const double,
const double[4]));
static double
get_integration_weight(const double omega,
SPGCONST double tetrahedra_omegas[24][4],
double (*gn)(const int,
const double,
const double[4]),
double (*IJ)(const int,
const int,
const double,
const double[4]));
static int get_main_diagonal(SPGCONST double rec_lattice[3][3]);
static int sort_omegas(double v[4]);
static double _f(const int n,
const int m,
const double omega,
const double vertices_omegas[4]);
static double _J(const int i,
const int ci,
const double omega,
const double vertices_omegas[4]);
static double _I(const int i,
const int ci,
const double omega,
const double vertices_omegas[4]);
static double _n(const int i,
const double omega,
const double vertices_omegas[4]);
static double _g(const int i,
const double omega,
const double vertices_omegas[4]);
static double _n_0(void);
static double _n_1(const double omega,
const double vertices_omegas[4]);
static double _n_2(const double omega,
const double vertices_omegas[4]);
static double _n_3(const double omega,
const double vertices_omegas[4]);
static double _n_4(void);
static double _g_0(void);
static double _g_1(const double omega,
const double vertices_omegas[4]);
static double _g_2(const double omega,
const double vertices_omegas[4]);
static double _g_3(const double omega,
const double vertices_omegas[4]);
static double _g_4(void);
static double _J_0(void);
static double _J_10(const double omega,
const double vertices_omegas[4]);
static double _J_11(const double omega,
const double vertices_omegas[4]);
static double _J_12(const double omega,
const double vertices_omegas[4]);
static double _J_13(const double omega,
const double vertices_omegas[4]);
static double _J_20(const double omega,
const double vertices_omegas[4]);
static double _J_21(const double omega,
const double vertices_omegas[4]);
static double _J_22(const double omega,
const double vertices_omegas[4]);
static double _J_23(const double omega,
const double vertices_omegas[4]);
static double _J_30(const double omega,
const double vertices_omegas[4]);
static double _J_31(const double omega,
const double vertices_omegas[4]);
static double _J_32(const double omega,
const double vertices_omegas[4]);
static double _J_33(const double omega,
const double vertices_omegas[4]);
static double _J_4(void);
static double _I_0(void);
static double _I_10(const double omega,
const double vertices_omegas[4]);
static double _I_11(const double omega,
const double vertices_omegas[4]);
static double _I_12(const double omega,
const double vertices_omegas[4]);
static double _I_13(const double omega,
const double vertices_omegas[4]);
static double _I_20(const double omega,
const double vertices_omegas[4]);
static double _I_21(const double omega,
const double vertices_omegas[4]);
static double _I_22(const double omega,
const double vertices_omegas[4]);
static double _I_23(const double omega,
const double vertices_omegas[4]);
static double _I_30(const double omega,
const double vertices_omegas[4]);
static double _I_31(const double omega,
const double vertices_omegas[4]);
static double _I_32(const double omega,
const double vertices_omegas[4]);
static double _I_33(const double omega,
const double vertices_omegas[4]);
static double _I_4(void);
void thm_get_relative_grid_address(int relative_grid_address[24][4][3],
SPGCONST double rec_lattice[3][3])
{
int i, j, k, main_diag_index;
main_diag_index = get_main_diagonal(rec_lattice);
for (i = 0; i < 24; i++) {
for (j = 0; j < 4; j++) {
for (k = 0; k < 3; k++) {
relative_grid_address[i][j][k] =
db_relative_grid_address[main_diag_index][i][j][k];
}
}
}
}
void thm_get_all_relative_grid_address(int relative_grid_address[4][24][4][3])
{
int i, j, k, main_diag_index;
for (main_diag_index = 0; main_diag_index < 4; main_diag_index++) {
for (i = 0; i < 24; i++) {
for (j = 0; j < 4; j++) {
for (k = 0; k < 3; k++) {
relative_grid_address[main_diag_index][i][j][k] =
db_relative_grid_address[main_diag_index][i][j][k];
}
}
}
}
}
double thm_get_integration_weight(const double omega,
SPGCONST double tetrahedra_omegas[24][4],
const char function)
{
if (function == 'I') {
return get_integration_weight(omega,
tetrahedra_omegas,
_g, _I);
} else {
return get_integration_weight(omega,
tetrahedra_omegas,
_n, _J);
}
}
void
thm_get_integration_weight_at_omegas(double *integration_weights,
const int num_omegas,
const double *omegas,
SPGCONST double tetrahedra_omegas[24][4],
const char function)
{
if (function == 'I') {
get_integration_weight_at_omegas(integration_weights,
num_omegas,
omegas,
tetrahedra_omegas,
_g, _I);
} else {
get_integration_weight_at_omegas(integration_weights,
num_omegas,
omegas,
tetrahedra_omegas,
_n, _J);
}
}
void thm_get_neighboring_grid_points(int neighboring_grid_points[],
const int grid_point,
SPGCONST int relative_grid_address[][3],
const int num_relative_grid_address,
const int mesh[3],
SPGCONST int bz_grid_address[][3],
const int bz_map[])
{
int bzmesh[3], address_double[3], bz_address_double[3];
int i, j, bz_gp;
for (i = 0; i < 3; i++) {
bzmesh[i] = mesh[i] * 2;
}
for (i = 0; i < num_relative_grid_address; i++) {
for (j = 0; j < 3; j++) {
address_double[j] = (bz_grid_address[grid_point][j] +
relative_grid_address[i][j]) * 2;
bz_address_double[j] = address_double[j];
}
bz_gp = bz_map[kpt_get_grid_point_double_mesh(bz_address_double, bzmesh)];
if (bz_gp == -1) {
neighboring_grid_points[i] =
kpt_get_grid_point_double_mesh(address_double, mesh);
} else {
neighboring_grid_points[i] = bz_gp;
}
}
}
static void
get_integration_weight_at_omegas(double *integration_weights,
const int num_omegas,
const double *omegas,
SPGCONST double tetrahedra_omegas[24][4],
double (*gn)(const int,
const double,
const double[4]),
double (*IJ)(const int,
const int,
const double,
const double[4]))
{
int i;
#pragma omp parallel for
for (i = 0; i < num_omegas; i++) {
integration_weights[i] = get_integration_weight(omegas[i],
tetrahedra_omegas,
gn, IJ);
}
}
static double
get_integration_weight(const double omega,
SPGCONST double tetrahedra_omegas[24][4],
double (*gn)(const int,
const double,
const double[4]),
double (*IJ)(const int,
const int,
const double,
const double[4]))
{
int i, j, ci;
double sum;
double v[4];
sum = 0;
for (i = 0; i < 24; i++) {
for (j = 0; j < 4; j++) {
v[j] = tetrahedra_omegas[i][j];
}
ci = sort_omegas(v);
if (omega < v[0]) {
sum += IJ(0, ci, omega, v) * gn(0, omega, v);
} else {
if (v[0] < omega && omega < v[1]) {
sum += IJ(1, ci, omega, v) * gn(1, omega, v);
} else {
if (v[1] < omega && omega < v[2]) {
sum += IJ(2, ci, omega, v) * gn(2, omega, v);
} else {
if (v[2] < omega && omega < v[3]) {
sum += IJ(3, ci, omega, v) * gn(3, omega, v);
} else {
if (v[3] < omega) {
sum += IJ(4, ci, omega, v) * gn(4, omega, v);
}
}
}
}
}
}
return sum / 6;
}
static int sort_omegas(double v[4])
{
int i;
double w[4];
i = 0;
if (v[0] > v[1]) {
w[0] = v[1];
w[1] = v[0];
i = 1;
} else {
w[0] = v[0];
w[1] = v[1];
}
if (v[2] > v[3]) {
w[2] = v[3];
w[3] = v[2];
} else {
w[2] = v[2];
w[3] = v[3];
}
if (w[0] > w[2]) {
v[0] = w[2];
v[1] = w[0];
if (i == 0) {
i = 4;
}
} else {
v[0] = w[0];
v[1] = w[2];
}
if (w[1] > w[3]) {
v[3] = w[1];
v[2] = w[3];
if (i == 1) {
i = 3;
}
} else {
v[3] = w[3];
v[2] = w[1];
if (i == 1) {
i = 5;
}
}
if (v[1] > v[2]) {
w[1] = v[1];
v[1] = v[2];
v[2] = w[1];
if (i == 4) {
i = 2;
}
if (i == 5) {
i = 1;
}
} else {
if (i == 4) {
i = 1;
}
if (i == 5) {
i = 2;
}
}
return i;
}
static int get_main_diagonal(SPGCONST double rec_lattice[3][3])
{
int i, shortest;
double length, min_length;
double main_diag[3];
shortest = 0;
mat_multiply_matrix_vector_di3(main_diag, rec_lattice, main_diagonals[0]);
min_length = mat_norm_squared_d3(main_diag);
for (i = 1; i < 4; i++) {
mat_multiply_matrix_vector_di3(main_diag, rec_lattice, main_diagonals[i]);
length = mat_norm_squared_d3(main_diag);
if (min_length > length) {
min_length = length;
shortest = i;
}
}
return shortest;
}
static double _f(const int n,
const int m,
const double omega,
const double vertices_omegas[4])
{
return ((omega - vertices_omegas[m]) /
(vertices_omegas[n] - vertices_omegas[m]));
}
static double _J(const int i,
const int ci,
const double omega,
const double vertices_omegas[4])
{
switch (i) {
case 0:
return _J_0();
case 1:
switch (ci) {
case 0:
return _J_10(omega, vertices_omegas);
case 1:
return _J_11(omega, vertices_omegas);
case 2:
return _J_12(omega, vertices_omegas);
case 3:
return _J_13(omega, vertices_omegas);
}
case 2:
switch (ci) {
case 0:
return _J_20(omega, vertices_omegas);
case 1:
return _J_21(omega, vertices_omegas);
case 2:
return _J_22(omega, vertices_omegas);
case 3:
return _J_23(omega, vertices_omegas);
}
case 3:
switch (ci) {
case 0:
return _J_30(omega, vertices_omegas);
case 1:
return _J_31(omega, vertices_omegas);
case 2:
return _J_32(omega, vertices_omegas);
case 3:
return _J_33(omega, vertices_omegas);
}
case 4:
return _J_4();
}
warning_print("******* Warning *******\n");
warning_print(" J is something wrong. \n");
warning_print("******* Warning *******\n");
warning_print("(line %d, %s).\n", __LINE__, __FILE__);
return 0;
}
static double _I(const int i,
const int ci,
const double omega,
const double vertices_omegas[4])
{
switch (i) {
case 0:
return _I_0();
case 1:
switch (ci) {
case 0:
return _I_10(omega, vertices_omegas);
case 1:
return _I_11(omega, vertices_omegas);
case 2:
return _I_12(omega, vertices_omegas);
case 3:
return _I_13(omega, vertices_omegas);
}
case 2:
switch (ci) {
case 0:
return _I_20(omega, vertices_omegas);
case 1:
return _I_21(omega, vertices_omegas);
case 2:
return _I_22(omega, vertices_omegas);
case 3:
return _I_23(omega, vertices_omegas);
}
case 3:
switch (ci) {
case 0:
return _I_30(omega, vertices_omegas);
case 1:
return _I_31(omega, vertices_omegas);
case 2:
return _I_32(omega, vertices_omegas);
case 3:
return _I_33(omega, vertices_omegas);
}
case 4:
return _I_4();
}
warning_print("******* Warning *******\n");
warning_print(" I is something wrong. \n");
warning_print("******* Warning *******\n");
warning_print("(line %d, %s).\n", __LINE__, __FILE__);
return 0;
}
static double _n(const int i,
const double omega,
const double vertices_omegas[4])
{
switch (i) {
case 0:
return _n_0();
case 1:
return _n_1(omega, vertices_omegas);
case 2:
return _n_2(omega, vertices_omegas);
case 3:
return _n_3(omega, vertices_omegas);
case 4:
return _n_4();
}
warning_print("******* Warning *******\n");
warning_print(" n is something wrong. \n");
warning_print("******* Warning *******\n");
warning_print("(line %d, %s).\n", __LINE__, __FILE__);
return 0;
}
static double _g(const int i,
const double omega,
const double vertices_omegas[4])
{
switch (i) {
case 0:
return _g_0();
case 1:
return _g_1(omega, vertices_omegas);
case 2:
return _g_2(omega, vertices_omegas);
case 3:
return _g_3(omega, vertices_omegas);
case 4:
return _g_4();
}
warning_print("******* Warning *******\n");
warning_print(" g is something wrong. \n");
warning_print("******* Warning *******\n");
warning_print("(line %d, %s).\n", __LINE__, __FILE__);
return 0;
}
/* omega < omega1 */
static double _n_0(void)
{
return 0.0;
}
/* omega1 < omega < omega2 */
static double _n_1(const double omega,
const double vertices_omegas[4])
{
return (_f(1, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(3, 0, omega, vertices_omegas));
}
/* omega2 < omega < omega3 */
static double _n_2(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas));
}
/* omega2 < omega < omega3 */
static double _n_3(const double omega,
const double vertices_omegas[4])
{
return (1.0 -
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas));
}
/* omega4 < omega */
static double _n_4(void)
{
return 1.0;
}
/* omega < omega1 */
static double _g_0(void)
{
return 0.0;
}
/* omega1 < omega < omega2 */
static double _g_1(const double omega,
const double vertices_omegas[4])
{
return (3 *
_f(1, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) /
(vertices_omegas[3] - vertices_omegas[0]));
}
/* omega2 < omega < omega3 */
static double _g_2(const double omega,
const double vertices_omegas[4])
{
return (3 /
(vertices_omegas[3] - vertices_omegas[0]) *
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas)));
}
/* omega3 < omega < omega4 */
static double _g_3(const double omega,
const double vertices_omegas[4])
{
return (3 *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas) /
(vertices_omegas[3] - vertices_omegas[0]));
}
/* omega4 < omega */
static double _g_4(void)
{
return 0.0;
}
static double _J_0(void)
{
return 0.0;
}
static double _J_10(const double omega,
const double vertices_omegas[4])
{
return (1.0 +
_f(0, 1, omega, vertices_omegas) +
_f(0, 2, omega, vertices_omegas) +
_f(0, 3, omega, vertices_omegas)) / 4;
}
static double _J_11(const double omega,
const double vertices_omegas[4])
{
return _f(1, 0, omega, vertices_omegas) / 4;
}
static double _J_12(const double omega,
const double vertices_omegas[4])
{
return _f(2, 0, omega, vertices_omegas) / 4;
}
static double _J_13(const double omega,
const double vertices_omegas[4])
{
return _f(3, 0, omega, vertices_omegas) / 4;
}
static double _J_20(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
(1.0 +
_f(0, 3, omega, vertices_omegas)) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) *
(1.0 +
_f(0, 3, omega, vertices_omegas) +
_f(0, 2, omega, vertices_omegas))) / 4 / _n_2(omega, vertices_omegas);
}
static double _J_21(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
(1.0 +
_f(1, 3, omega, vertices_omegas) +
_f(1, 2, omega, vertices_omegas)) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
(_f(1, 3, omega, vertices_omegas) +
_f(1, 2, omega, vertices_omegas)) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas)) / 4 / _n_2(omega, vertices_omegas);
}
static double _J_22(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) *
(_f(2, 1, omega, vertices_omegas) +
_f(2, 0, omega, vertices_omegas))) / 4 / _n_2(omega, vertices_omegas);
}
static double _J_23(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
_f(3, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
(_f(3, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas)) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) *
_f(3, 0, omega, vertices_omegas)) / 4 / _n_2(omega, vertices_omegas);
}
static double _J_30(const double omega,
const double vertices_omegas[4])
{
return (1.0 -
_f(0, 3, omega, vertices_omegas) *
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas)) / 4 / _n_3(omega, vertices_omegas);
}
static double _J_31(const double omega,
const double vertices_omegas[4])
{
return (1.0 -
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas)) / 4 / _n_3(omega, vertices_omegas);
}
static double _J_32(const double omega,
const double vertices_omegas[4])
{
return (1.0 +
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas)) / 4 / _n_3(omega, vertices_omegas);
}
static double _J_33(const double omega,
const double vertices_omegas[4])
{
return (1.0 -
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas) *
(1.0 +
_f(3, 0, omega, vertices_omegas) +
_f(3, 1, omega, vertices_omegas) +
_f(3, 2, omega, vertices_omegas))) / 4 / _n_3(omega, vertices_omegas);
}
static double _J_4(void)
{
return 0.25;
}
static double _I_0(void)
{
return 0.0;
}
static double _I_10(const double omega,
const double vertices_omegas[4])
{
return (_f(0, 1, omega, vertices_omegas) +
_f(0, 2, omega, vertices_omegas) +
_f(0, 3, omega, vertices_omegas)) / 3;
}
static double _I_11(const double omega,
const double vertices_omegas[4])
{
return _f(1, 0, omega, vertices_omegas) / 3;
}
static double _I_12(const double omega,
const double vertices_omegas[4])
{
return _f(2, 0, omega, vertices_omegas) / 3;
}
static double _I_13(const double omega,
const double vertices_omegas[4])
{
return _f(3, 0, omega, vertices_omegas) / 3;
}
static double _I_20(const double omega,
const double vertices_omegas[4])
{
return (_f(0, 3, omega, vertices_omegas) +
_f(0, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) /
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas))) / 3;
}
static double _I_21(const double omega,
const double vertices_omegas[4])
{
return (_f(1, 2, omega, vertices_omegas) +
_f(1, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) /
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas))) / 3;
}
static double _I_22(const double omega,
const double vertices_omegas[4])
{
return (_f(2, 1, omega, vertices_omegas) +
_f(2, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) /
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas))) / 3;
}
static double _I_23(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 0, omega, vertices_omegas) +
_f(3, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) /
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas))) / 3;
}
static double _I_30(const double omega,
const double vertices_omegas[4])
{
return _f(0, 3, omega, vertices_omegas) / 3;
}
static double _I_31(const double omega,
const double vertices_omegas[4])
{
return _f(1, 3, omega, vertices_omegas) / 3;
}
static double _I_32(const double omega,
const double vertices_omegas[4])
{
return _f(2, 3, omega, vertices_omegas) / 3;
}
static double _I_33(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 0, omega, vertices_omegas) +
_f(3, 1, omega, vertices_omegas) +
_f(3, 2, omega, vertices_omegas)) / 3;
}
static double _I_4(void)
{
return 0.0;
}
|
jacobi.c | #include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <math.h>
//#define _OPENACCM
#ifdef _OPENACCM
#include <openacc.h>
#endif
#ifndef VERIFICATION
#define VERIFICATION 0
#endif
#if VERIFICATION == 1
#define RUN_CPUVERSION 1
#endif
#define ITER 10
#define CHECK_RESULT
#ifndef SIZE
//#define SIZE 2048 //128 * 16
//#define SIZE 4096 //256 * 16
//#define SIZE 8192 //256 * 32
#define SIZE 8192 //256 * 48
#endif
#ifdef _OPENARC_
#if SIZE == 4096
#pragma openarc #define SIZE 4096
#elif SIZE == 8192
#pragma openarc #define SIZE 8192
#elif SIZE == 12288
#pragma openarc #define SIZE 12288
#elif SIZE == 16384
#pragma openarc #define SIZE 16384
#endif
#pragma openarc #define SIZE_2 (2+\SIZE)
#endif
#define SIZE_1 (SIZE+1)
#define SIZE_2 (SIZE+2)
double my_timer ()
{
struct timeval time;
gettimeofday (&time, 0);
return time.tv_sec + time.tv_usec / 1000000.0;
}
int m_size = SIZE;
int main (int argc, char *argv[])
{
int i, j, k;
//int c;
float sum = 0.0f;
#if RUN_CPUVERSION == 1
float (*a_CPU)[SIZE_2];
float (*b_CPU)[SIZE_2];
#endif
double strt_time, done_time;
float (*a)[SIZE_2] = (float (*)[SIZE_2])malloc(sizeof(float) * (m_size+2) * (m_size+2));
float (*b)[SIZE_2] = (float (*)[SIZE_2])malloc(sizeof(float) * (m_size+2) * (m_size+2));
//while ((c = getopt (argc, argv, "")) != -1);
for (i = 0; i < m_size+2; i++)
{
for (j = 0; j < m_size+2; j++)
{
b[i][j] = 0;
}
}
for (j = 0; j <= SIZE_1; j++)
{
b[j][0] = 1.0;
b[j][SIZE_1] = 1.0;
}
for (i = 1; i <= SIZE; i++)
{
b[0][i] = 1.0;
b[SIZE_1][i] = 1.0;
}
printf ("Performing %d iterations on a %d by %d array\n", ITER, SIZE, SIZE);
/* -- Timing starts before the main loop -- */
printf("-------------------------------------------------------------\n");
strt_time = my_timer ();
#pragma aspen enter modelregion
#ifdef _OPENACCM
acc_init(acc_device_default);
#endif
#pragma acc data copy(b[0:m_size+2][0:m_size+2]), create(a[0:m_size+2][0:m_size+2])
for (k = 0; k < ITER; k++)
{
#pragma acc kernels loop gang, worker
#pragma openarc transform permute(j,i)
for (i = 1; i <= m_size; i++)
{
for (j = 1; j <= m_size; j++)
{
a[i][j] = (b[i - 1][j] + b[i + 1][j] + b[i][j - 1] + b[i][j + 1]) / 4.0f;
}
}
#pragma acc kernels loop gang worker
#pragma openarc transform permute(j,i)
for (i = 1; i <= m_size; i++)
{
for (j = 1; j <= m_size; j++)
{
b[i][j] = a[i][j];
}
}
}
#ifdef _OPENACCM
acc_shutdown(acc_device_default);
#endif
#pragma aspen exit modelregion
done_time = my_timer ();
printf ("Accelerator Elapsed time = %lf sec\n", done_time - strt_time);
#ifdef CHECK_RESULT
for (i = 1; i <= SIZE; i++)
{
sum += b[i][i];
}
printf("Diagonal sum = %.10E\n", sum);
#endif
#if RUN_CPUVERSION == 1
#if VERIFICATION != 1
printf("free a and b\n");
free(a);
free(b);
#endif
a_CPU = (float (*)[SIZE_2])malloc(sizeof(float) * (m_size+2) * (m_size+2));
b_CPU = (float (*)[SIZE_2])malloc(sizeof(float) * (m_size+2) * (m_size+2));
for (i = 0; i < m_size+2; i++)
{
for (j = 0; j < m_size+2; j++)
{
b_CPU[i][j] = 0;
}
}
for (j = 0; j <= SIZE_1; j++)
{
b_CPU[j][0] = 1.0;
b_CPU[j][SIZE_1] = 1.0;
}
for (i = 1; i <= SIZE; i++)
{
b_CPU[0][i] = 1.0;
b_CPU[SIZE_1][i] = 1.0;
}
strt_time = my_timer ();
for (k = 0; k < ITER; k++)
{
#pragma omp parallel for private(i,j)
for (i = 1; i <= m_size; i++)
{
for (j = 1; j <= m_size; j++)
{
a_CPU[i][j] = (b_CPU[i - 1][j] + b_CPU[i + 1][j] + b_CPU[i][j - 1] + b_CPU[i][j + 1]) / 4.0f;
}
}
#pragma omp parallel for private(i,j)
for (i = 1; i <= m_size; i++)
{
for (j = 1; j <= m_size; j++)
{
b_CPU[i][j] = a_CPU[i][j];
}
}
}
done_time = my_timer ();
printf ("CPU Elapsed time = %lf sec\n", done_time - strt_time);
#if VERIFICATION == 1
{
double cpu_sum = 0.0;
double gpu_sum = 0.0;
double rel_err = 0.0;
for (i = 1; i <= SIZE; i++)
{
cpu_sum += b_CPU[i][i]*b_CPU[i][i];
gpu_sum += b[i][i]*b[i][i];
}
cpu_sum = sqrt(cpu_sum);
gpu_sum = sqrt(gpu_sum);
rel_err = (cpu_sum-gpu_sum)/cpu_sum;
if(rel_err < 1e-6)
{
printf("Verification Successful err = %e\n", rel_err);
}
else
{
printf("Verification Fail err = %e\n", rel_err);
}
}
#endif
#ifdef CHECK_RESULT
sum = 0.0;
for (i = 1; i <= SIZE; i++)
{
sum += b_CPU[i][i];
}
printf("Diagonal sum = %.10E\n", sum);
#endif
#endif
//printf ("done_time = %lf\n", done_time);
return 0;
}
|
DRB070-simd1-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 with a vetorization directive
*/
int a[100], b[100], c[100];
int main()
{
int i;
#pragma omp simd
for (i=0;i<100;i++)
a[i]=b[i]*c[i];
return 0;
}
|
fc.c | #include<stdio.h>
#include "gdal.h"
#include<omp.h>
#include "cpl_string.h"
void usage()
{
printf( "-----------------------------------------\n");
printf( "--Modis Processing chain--OpenMP code----\n");
printf( "-----------------------------------------\n");
printf( "./fc inVI outFC\n");
printf( "-----------------------------------------\n");
printf( "inVI\t\tModis Veg Index of your choice\n");
printf( "outFC\t\t\tFraction Veg Cover output [-x100]\n");
return;
}
int main( int argc, char *argv[] )
{
if( argc < 3 ) {
usage();
return 1;
}
//Loading the input files names
//-----------------------------
char *inB2 = argv[1]; //VI
char *fcF = argv[2];
//Loading the input files
//-----------------------
GDALAllRegister();
GDALDatasetH hD2 = GDALOpen(inB2,GA_ReadOnly);//VI
if(hD2==NULL){
printf("Input file ");
printf("could not be loaded\n");
exit(EXIT_FAILURE);
}
//Loading the file infos
//----------------------
GDALDriverH hDr2 = GDALGetDatasetDriver(hD2);
char **options = NULL;
options = CSLSetNameValue( options, "TILED", "YES" );
options = CSLSetNameValue( options, "COMPRESS", "DEFLATE" );
options = CSLSetNameValue( options, "PREDICTOR", "2" );
GDALDatasetH hDOut = GDALCreateCopy(hDr2,fcF,hD2,FALSE,options,NULL,NULL);
GDALRasterBandH hBOut = GDALGetRasterBand(hDOut,1);
GDALRasterBandH hB2 = GDALGetRasterBand(hD2,1);//VI
int nX = GDALGetRasterBandXSize(hB2);
int nY = GDALGetRasterBandYSize(hB2);
int N = nX*nY;
float *l2 = (float *) malloc(sizeof(float)*N);
float *lOut = (float *) malloc(sizeof(float)*N);
int rowcol;
float tempval, minval=100, maxval=0;
int err=0;
err=GDALRasterIO(hB2,GF_Read,0,0,nX,nY,l2,nX,nY,GDT_Float32,0,0);
#pragma omp parallel for default(none) \
private (rowcol, tempval) shared (N, minval, maxval, l2)
for(rowcol=0;rowcol<N;rowcol++){
if( l2[rowcol] == -28768) {}
else
{
tempval = 0.0001 * l2[rowcol];
if( tempval < minval ) minval = tempval;
else if ( tempval > maxval && tempval < 1.0 ) maxval = tempval;
}
}
#pragma omp barrier
printf("\t\tminval=%.3f\tmaxval=%.3f\n",minval,maxval);
#pragma omp parallel for default(none) \
private (rowcol, tempval) shared (N, minval, maxval, l2, lOut)
for(rowcol=0;rowcol<N;rowcol++){
if( l2[rowcol] == -28768){
lOut[rowcol] = 0;
}
else
{
tempval = 0.0001 * l2[rowcol];
if( tempval < minval ) lOut[rowcol] = 0;
else if ( tempval > maxval ) lOut[rowcol] = 0;
else lOut[rowcol] = 100.0 * (float) (tempval-minval)/(maxval-minval);
}
}
#pragma omp barrier
err=GDALRasterIO(hBOut,GF_Write,0,0,nX,nY,lOut,nX,nY,GDT_Float32,0,0);
if( l2 != NULL ) free( l2 );
GDALClose(hD2);
GDALClose(hDOut);
return(EXIT_SUCCESS);
}
|
pfspecifier_str.c | #include <stdio.h>
#include <string.h>
#include <omp.h>
#pragma omp declare target
int f(int a)
{
return a/10;
}
#pragma omp end declare target
int main()
{
int i;
i=f(2200);
char *str_begin = "<<<";
char *str_end = ">>>";
char *str_alt = "67890_XYZxyz?!";
char *str = "12345_ABCDEFGabcdegf?!";
printf("String on host: %s\n", "12345_ABCDEFGabcdegf?!");
#pragma omp target map(to: str_begin[0:strlen(str_begin)+1],\
str_end[0:strlen(str_end)+1], str[0:strlen(str)+1],\
str_alt[0:strlen(str_alt)+1])
{
char *fmt = "String on device: %s\n";
printf("String on device: %s\n", "12345_ABCDEFGabcdegf?!");
printf("String on device: %s\n", str);
printf(fmt, str);
// Choose string to print
printf(fmt, f(1) ? str_alt : str);
printf(fmt, f(10) ? str_alt : str);
// Choose string format size using variable, string will be right aligned
printf("String on device: %*s\n", f(220), f(10) ? str_alt : str);
// Choose maximium string format size using variable
// Currently doesn't work on Nvidia
// printf ("String on device: %.*s\n", f(70), f(1) ? str_alt : str);
printf("Data on device: %2d %s%*s%s %2d%*d\n", f(i), str_begin, f(i),
f(10) ? str_alt : str, str_end, f(i), f(50), f(i));
}
printf("Data on host: %2d %s%*s%s %2d%*d\n", f(i), str_begin, f(i),
f(10) ? str_alt : str, str_end, f(i), f(50), f(i));
return 0;
}
|
GB_binop__rdiv_int64.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 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__rdiv_int64)
// A.*B function (eWiseMult): GB (_AemultB_08__rdiv_int64)
// A.*B function (eWiseMult): GB (_AemultB_02__rdiv_int64)
// A.*B function (eWiseMult): GB (_AemultB_04__rdiv_int64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__rdiv_int64)
// A*D function (colscale): GB (_AxD__rdiv_int64)
// D*A function (rowscale): GB (_DxB__rdiv_int64)
// C+=B function (dense accum): GB (_Cdense_accumB__rdiv_int64)
// C+=b function (dense accum): GB (_Cdense_accumb__rdiv_int64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__rdiv_int64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__rdiv_int64)
// C=scalar+B GB (_bind1st__rdiv_int64)
// C=scalar+B' GB (_bind1st_tran__rdiv_int64)
// C=A+scalar GB (_bind2nd__rdiv_int64)
// C=A'+scalar GB (_bind2nd_tran__rdiv_int64)
// C type: int64_t
// A type: int64_t
// A pattern? 0
// B type: int64_t
// B pattern? 0
// BinaryOp: cij = GB_IDIV_SIGNED (bij, aij, 64)
#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,A_iso) \
int64_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) \
int64_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) \
int64_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 = GB_IDIV_SIGNED (y, x, 64) ;
// 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_RDIV || GxB_NO_INT64 || GxB_NO_RDIV_INT64)
//------------------------------------------------------------------------------
// 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__rdiv_int64)
(
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
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__rdiv_int64)
(
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__rdiv_int64)
(
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__rdiv_int64)
(
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 int64_t
int64_t bwork = (*((int64_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__rdiv_int64)
(
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
int64_t *restrict Cx = (int64_t *) 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__rdiv_int64)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *restrict Cx = (int64_t *) 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__rdiv_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 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) ;
int64_t alpha_scalar ;
int64_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int64_t *) alpha_scalar_in)) ;
beta_scalar = (*((int64_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__rdiv_int64)
(
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__rdiv_int64)
(
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__rdiv_int64)
(
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__rdiv_int64)
(
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__rdiv_int64)
(
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
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 < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int64_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_IDIV_SIGNED (bij, x, 64) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__rdiv_int64)
(
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 ;
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 = GBX (Ax, p, false) ;
Cx [p] = GB_IDIV_SIGNED (y, aij, 64) ;
}
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) \
{ \
int64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IDIV_SIGNED (aij, x, 64) ; \
}
GrB_Info GB (_bind1st_tran__rdiv_int64)
(
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 \
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
//------------------------------------------------------------------------------
// 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 = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IDIV_SIGNED (y, aij, 64) ; \
}
GrB_Info GB (_bind2nd_tran__rdiv_int64)
(
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
int64_t y = (*((const int64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
gost_fmt_plug.c | /*
* GOST 3411 cracker patch for JtR. Hacked together during
* May of 2012 by Dhiru Kholia <dhiru.kholia at gmail.com>,
* Sergey V. <sftp.mtuci at gmail com>, and JimF
*
* This software is Copyright (c) 2012, Dhiru Kholia <dhiru.kholia at gmail.com>,
* Sergey V. <sftp.mtuci at gmail com>, and JimF
* 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.
*
* Input Format => user:gost-hash;
* user:$gost$gost-hash;
* user:$gost-cp$gost-cryptopro-hash;
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_gost;
#elif FMT_REGISTERS_H
john_register_one(&fmt_gost);
#else
#include <string.h>
#include <assert.h>
#include <errno.h>
#include "arch.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#include "gost.h"
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 512 // tuned K8-dual HT
#endif
#endif
#include "memdbg.h"
#define FORMAT_LABEL "gost"
#define FORMAT_NAME "GOST R 34.11-94"
#define FORMAT_TAG "$gost$"
#define TAG_LENGTH (sizeof(FORMAT_TAG)-1)
#define FORMAT_TAG_CP "$gost-cp$"
#define TAG_CP_LENGTH (sizeof(FORMAT_TAG_CP)-1)
#if !defined(USE_GCC_ASM_IA32) && defined(USE_GCC_ASM_X64)
#define ALGORITHM_NAME "64/64"
#else
#define ALGORITHM_NAME "32/" ARCH_BITS_STR
#endif
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1
#define PLAINTEXT_LENGTH 125
#define CIPHERTEXT_LENGTH 64
#define BINARY_SIZE 32
#define SALT_SIZE 1
#define SALT_ALIGN 1
#define BINARY_ALIGN sizeof(ARCH_WORD_32)
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
static struct fmt_tests gost_tests[] = {
{"ce85b99cc46752fffee35cab9a7b0278abb4c2d2055cff685af4912c49490f8d", ""},
{"d42c539e367c66e9c88a801f6649349c21871b4344c6a573f849fdce62f314dd", "a"},
{FORMAT_TAG "ce85b99cc46752fffee35cab9a7b0278abb4c2d2055cff685af4912c49490f8d", ""},
{FORMAT_TAG "d42c539e367c66e9c88a801f6649349c21871b4344c6a573f849fdce62f314dd", "a"},
{FORMAT_TAG "ad4434ecb18f2c99b60cbe59ec3d2469582b65273f48de72db2fde16a4889a4d", "message digest"},
{FORMAT_TAG "0886f91e7fcaff65eb2635a1a4c9f203003e0ce5ea74b72fc6462cc72649694e",
"This is very very long pass phrase for test gost hash function."},
{FORMAT_TAG_CP "981e5f3ca30c841487830f84fb433e13ac1101569b9c13584ac483234cd656c0", ""},
{FORMAT_TAG_CP "e74c52dd282183bf37af0079c9f78055715a103f17e3133ceff1aacf2f403011", "a"},
{FORMAT_TAG_CP "bc6041dd2aa401ebfa6e9886734174febdb4729aa972d60f549ac39b29721ba0", "message digest"},
{FORMAT_TAG_CP "5394adfacb65a9ac5781c3080b244c955a9bf03befd51582c3850b8935f80762",
"This is very very long pass phrase for test gost hash function."},
{NULL}
};
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static ARCH_WORD_32 (*crypt_out)[8];
static int is_cryptopro; /* non 0 for CryptoPro hashes */
static void init(struct fmt_main *self)
{
#ifdef _OPENMP
int omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
gost_init_table();
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
crypt_out = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*crypt_out));
}
static void done(void)
{
MEM_FREE(crypt_out);
MEM_FREE(saved_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *p, *q;
p = ciphertext;
if (!strncmp(p, FORMAT_TAG, TAG_LENGTH))
p += TAG_LENGTH;
else if (!strncmp(p, FORMAT_TAG_CP, TAG_CP_LENGTH))
p += TAG_CP_LENGTH;
q = p;
while (atoi16[ARCH_INDEX(*q)] != 0x7F)
q++;
return !*q && q - p == CIPHERTEXT_LENGTH;
}
static char *split(char *ciphertext, int index, struct fmt_main *self)
{
static char out[TAG_CP_LENGTH + CIPHERTEXT_LENGTH + 1];
char *cp=&out[TAG_LENGTH];
strcpy(out, FORMAT_TAG);
if (!strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
ciphertext += TAG_LENGTH;
else if (!strncmp(ciphertext, FORMAT_TAG_CP, TAG_CP_LENGTH)) {
ciphertext += TAG_CP_LENGTH;
strcpy(out, FORMAT_TAG_CP);
cp=&out[TAG_CP_LENGTH];
}
memcpy(cp, ciphertext, CIPHERTEXT_LENGTH + 1);
strlwr(cp);
return out;
}
static void *get_salt(char *ciphertext)
{
static char i;
if (!strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
i=0;
else
i=1;
return &i;
}
static void set_salt(void *salt)
{
is_cryptopro = *(char*)salt;
}
static void *get_binary(char *ciphertext)
{
static unsigned char *out;
char *p;
int i;
if (!out) out = mem_alloc_tiny(BINARY_SIZE, MEM_ALIGN_WORD);
if (!strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
p = ciphertext + TAG_LENGTH;
else
p = ciphertext + TAG_CP_LENGTH;
for (i = 0; i < BINARY_SIZE; i++) {
out[i] =
(atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out;
}
static int get_hash_0(int index) { return crypt_out[index][0] & PH_MASK_0; }
static int get_hash_1(int index) { return crypt_out[index][0] & PH_MASK_1; }
static int get_hash_2(int index) { return crypt_out[index][0] & PH_MASK_2; }
static int get_hash_3(int index) { return crypt_out[index][0] & PH_MASK_3; }
static int get_hash_4(int index) { return crypt_out[index][0] & PH_MASK_4; }
static int get_hash_5(int index) { return crypt_out[index][0] & PH_MASK_5; }
static int get_hash_6(int index) { return crypt_out[index][0] & PH_MASK_6; }
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
for (index = 0; index < count; index++)
#endif
{
gost_ctx ctx;
if (is_cryptopro)
john_gost_cryptopro_init(&ctx);
else
john_gost_init(&ctx);
john_gost_update(&ctx, (const unsigned char*)saved_key[index],
strlen(saved_key[index]));
john_gost_final(&ctx, (unsigned char *)crypt_out[index]);
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
for (; index < count; index++)
if (crypt_out[index][0] == *(ARCH_WORD_32*)binary)
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;
}
static void set_key(char *key, int index)
{
int saved_len = strlen(key);
if (saved_len > PLAINTEXT_LENGTH)
saved_len = PLAINTEXT_LENGTH;
memcpy(saved_key[index], key, saved_len);
saved_key[index][saved_len] = 0;
}
static char *get_key(int index)
{
return saved_key[index];
}
struct fmt_main fmt_gost = {
{
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 | FMT_SPLIT_UNIFIES_CASE,
{ NULL },
{ FORMAT_TAG, FORMAT_TAG_CP },
gost_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
split,
get_binary,
get_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
fmt_default_salt_hash,
NULL,
set_salt,
set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
get_hash_0,
get_hash_1,
get_hash_2,
get_hash_3,
get_hash_4,
get_hash_5,
get_hash_6
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
dct_lee_cpu.h | /*
* @Author: Jake Gu
* @Date: 2019-04-02 16:34:45
* @LastEditTime: 2019-04-15 18:01:42
*/
/**
* @file dct_lee_cpu.h
* @author Yibo Lin
* @date Oct 2018
*/
#ifndef GPUPLACE_DCT_LEE_CPU_H
#define GPUPLACE_DCT_LEE_CPU_H
#include <vector>
#include <cmath>
#include <stdexcept>
namespace lee
{
constexpr double PI = 3.14159265358979323846;
/// Return true if a number is power of 2
template <typename T = unsigned>
inline bool isPowerOf2(T val)
{
return val && (val & (val - 1)) == 0;
}
/// Transpose a row-major matrix with M rows and N columns using block transpose method
template <typename TValue, typename TIndex = unsigned>
inline void transpose(const TValue *in, TValue *out, TIndex M, TIndex N, TIndex blockSize = 16)
{
//#pragma omp parallel for collapse(2) schedule(static)
for (TIndex j = 0; j < N; j += blockSize)
{
for (TIndex i = 0; i < M; i += blockSize)
{
// Transpose the block beginning at [i, j]
TIndex xend = std::min(M, i + blockSize);
TIndex yend = std::min(N, j + blockSize);
for (TIndex y = j; y < yend; ++y)
{
for (TIndex x = i; x < xend; ++x)
{
out[x + y * M] = in[y + x * N];
}
}
}
}
}
/// Negate values in odd position of a vector
template <typename TValue, typename TIndex = unsigned>
inline void negateOddEntries(TValue *vec, TIndex N)
{
for (TIndex i = 1; i < N; i += 2)
{
vec[i] = -vec[i];
}
}
/// Precompute cosine values needed for N-point dct
/// @param cos size N - 1 buffer, contains the result after function call
/// @param N the length of target dct, must be power of 2
template <typename TValue, typename TIndex = unsigned>
void precompute_dct_cos(TValue *cos, TIndex N)
{
// The input length must be power of 2
if (! isPowerOf2<TIndex>(N))
{
throw std::domain_error("Input length is not power of 2.");
}
TIndex offset = 0;
TIndex halfLen = N / 2;
while (halfLen)
{
TValue phaseStep = 0.5 * PI / halfLen;
TValue phase = 0.5 * phaseStep;
for (TIndex i = 0; i < halfLen; ++i)
{
cos[offset + i] = 0.5 / std::cos(phase);
phase += phaseStep;
}
offset += halfLen;
halfLen /= 2;
}
}
/// Precompute cosine values needed for N-point idct
/// @param cos size N - 1 buffer, contains the result after function call
/// @param N the length of target idct, must be power of 2
template <typename TValue, typename TIndex = unsigned>
void precompute_idct_cos(TValue *cos, TIndex N)
{
// The input length must be power of 2
if (! isPowerOf2<TIndex>(N))
{
throw std::domain_error("Input length is not power of 2.");
}
TIndex offset = 0;
TIndex halfLen = 1;
while(halfLen < N)
{
TValue phaseStep = 0.5 * PI / halfLen;
TValue phase = 0.5 * phaseStep;
for (TIndex i = 0; i < halfLen; ++i)
{
cos[offset + i] = 0.5 / std::cos(phase);
phase += phaseStep;
}
offset += halfLen;
halfLen *= 2;
}
}
/// The implementation of fast Discrete Cosine Transform (DCT) algorithm and its inverse (IDCT) are Lee's algorithms
/// Algorithm reference: A New Algorithm to Compute the Discrete Cosine Transform, by Byeong Gi Lee, 1984
///
/// Lee's algorithm has a recursive structure in nature.
/// Here is a sample recursive implementation: https://www.nayuki.io/page/fast-discrete-cosine-transform-algorithms
///
/// My implementation here is iterative, which is more efficient than the recursive version.
/// Here is a sample iterative implementation: https://www.codeproject.com/Articles/151043/Iterative-Fast-1D-Forvard-DCT
/// Compute y[k] = sum_n=0..N-1 (x[n] * cos((n + 0.5) * k * PI / N)), for k = 0..N-1
///
/// @param vec length N sequence to be transformed
/// @param temp length 2 * N helping buffer
/// @param cos length N - 1, stores cosine values precomputed by function 'precompute_dct_cos'
/// @param N length of vec, must be power of 2
template <typename TValue, typename TIndex = unsigned>
inline void dct(TValue *vec, TValue *out, TValue *buf, const TValue *cos, TIndex N)
{
// The input length must be power of 2
if (! isPowerOf2<TIndex>(N))
{
throw std::domain_error("Input length is not power of 2.");
}
// Pointers point to the beginning indices of two adjacent iterations
TValue *curr = out;
TValue *next = buf;
// 'temp' is used to store data of two adjacent iterations
// Copy 'vec' to the first N element in 'temp'
std::copy(vec, vec + N, curr);
// Current bufferfly length and half length
TIndex len = N;
TIndex halfLen = len / 2;
// Iteratively bi-partition sequences into sub-sequences
TIndex cosOffset = 0;
while (halfLen)
{
TIndex offset = 0;
TIndex steps = N / len;
for (TIndex k = 0; k < steps; ++k)
{
for (TIndex i = 0; i < halfLen; ++i)
{
next[offset + i] = curr[offset + i] + curr[offset + len - i - 1];
next[offset + halfLen + i] = (curr[offset + i] - curr[offset + len -i - 1]) * cos[cosOffset + i];
}
offset += len;
}
std::swap(curr, next);
cosOffset += halfLen;
len = halfLen;
halfLen /= 2;
}
// Bottom-up form the final DCT solution
// Note that the case len = 2 will do nothing, so we start from len = 4
len = 4;
halfLen = 2;
while(halfLen < N)
{
TIndex offset = 0;
TIndex steps = N / len;
for(TIndex k = 0; k < steps; ++k)
{
for(TIndex i = 0; i < halfLen - 1; ++i)
{
next[offset + i * 2] = curr[offset + i];
next[offset + i * 2 + 1] = curr[offset + halfLen + i] + curr[offset + halfLen + i + 1];
}
next[offset + len - 2] = curr[offset + halfLen - 1];
next[offset + len - 1] = curr[offset + len - 1];
offset += len;
}
std::swap(curr, next);
halfLen = len;
len *= 2;
}
// Populate the final results into 'out'
if (curr != out)
{
std::copy(curr, curr+N, out);
}
}
/// Compute y[k] = 0.5 * x[0] + sum_n=1..N-1 (x[n] * cos(n * (k + 0.5) * PI / N)), for k = 0..N-1
/// @param vec length N sequence to be transformed
/// @param temp length 2 * N helping buffer
/// @param cos length N - 1, stores cosine values precomputed by function 'precompute_idct_cos'
/// @param N length of vec, must be power of 2
template <typename TValue, typename TIndex = unsigned>
inline void idct(TValue *vec, TValue *out, TValue* buf, const TValue *cos, TIndex N)
{
// The input length must be power of 2
if (! isPowerOf2<TIndex>(N))
{
throw std::domain_error("Input length is not power of 2.");
}
// Pointers point to the beginning indices of two adjacent iterations
TValue *curr = out;
TValue *next = buf;
// This array is used to store date of two adjacent iterations
// Copy 'vec' to the first N element in 'temp'
std::copy(vec, vec + N, curr);
curr[0] /= 2;
// Current bufferfly length and half length
TIndex len = N;
TIndex halfLen = len / 2;
// Iteratively bi-partition sequences into sub-sequences
while (halfLen)
{
TIndex offset = 0;
TIndex steps = N / len;
for (TIndex k = 0; k < steps; ++k)
{
next[offset] = curr[offset];
next[offset + halfLen] = curr[offset + 1];
for (TIndex i = 1; i < halfLen; ++i)
{
next[offset + i] = curr[offset + i * 2];
next[offset + halfLen + i] = curr[offset + i * 2 - 1] + curr[offset + i * 2 + 1];
}
offset += len;
}
std::swap(curr, next);
len = halfLen;
halfLen /= 2;
}
// Bottom-up form the final IDCT solution
len = 2;
halfLen = 1;
TIndex cosOffset = 0;
while(halfLen < N)
{
TIndex offset = 0;
TIndex steps = N / len;
for(TIndex k = 0; k < steps; ++k)
{
for(TIndex i = 0; i < halfLen; ++i)
{
TValue g = curr[offset + i];
TValue h = curr[offset + halfLen + i] * cos[cosOffset + i];
next[offset + i] = g + h;
next[offset + len - 1 - i] = g - h;
}
offset += len;
}
std::swap(curr, next);
cosOffset += halfLen;
halfLen = len;
len *= 2;
}
// Populate the final results into 'out'
if (curr != out)
{
std::copy(curr, curr+N, out);
}
}
/// Compute batch dct
/// @param mtx size M * N row-major matrix to be transformed
/// @param temp length 3 * M * N helping buffer, first 2 * M * N is for dct, the last M * N is for matrix transpose
/// @param cosM length M - 1, stores cosine values precomputed by function 'precompute_dct_cos' for M-point dct
/// @param cosN length N - 1, stores cosine values precomputed by function 'precompute_dct_cos' for N-point dct
/// @param M number of rows
/// @param N number of columns
template <typename TValue, typename TIndex = unsigned>
inline void dct(TValue *mtx, TValue *out, TValue* buf, const TValue *cos, TIndex M, TIndex N)
{
//#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < M; ++i)
{
dct<TValue, TIndex>(mtx + i * N, out + i * N, buf + i*N, cos, N);
}
}
/// Compute batch idct
/// @param mtx size M * N row-major matrix to be transformed
/// @param temp length 3 * M * N helping buffer, first 2 * M * N is for dct, the last M * N is for matrix transpose
/// @param cosM length M - 1, stores cosine values precomputed by function 'precompute_dct_cos' for M-point dct
/// @param cosN length N - 1, stores cosine values precomputed by function 'precompute_dct_cos' for N-point dct
/// @param M number of rows
/// @param N number of columns
template <typename TValue, typename TIndex = unsigned>
inline void idct(TValue *mtx, TValue *out, TValue* buf, const TValue *cos, TIndex M, TIndex N)
{
//#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < M; ++i)
{
idct<TValue, TIndex>(mtx + i * N, out + i * N, buf + i*N, cos, N);
}
}
} // End of namespace lee
#endif
|
comm.h | /*
* 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) 2015 by Contributors
*/
#ifndef MXNET_KVSTORE_COMM_H_
#define MXNET_KVSTORE_COMM_H_
#include <dmlc/omp.h>
#include <string>
#include <algorithm>
#include <utility>
#include <limits>
#include <vector>
#include <tuple>
#include <thread>
#include "mxnet/ndarray.h"
#include "gradient_compression.h"
#include "../ndarray/ndarray_function.h"
#include "../operator/tensor/sparse_retain-inl.h"
#include "../profiler/profiler.h"
#include "./kvstore_utils.h"
namespace mxnet {
namespace kvstore {
/**
* \brief multiple device commmunication
*/
class Comm {
public:
Comm() {
pinned_ctx_ = Context::CPUPinned(0);
}
virtual ~Comm() {}
/**
* \brief init key with the data shape and storage shape
*/
virtual void Init(int key,
const NDArrayStorageType stype,
const mxnet::TShape& shape,
int dtype = mshadow::kFloat32) = 0;
/**
* \brief returns src[0] + .. + src[src.size()-1]
*/
virtual const NDArray& Reduce(int key, const std::vector<NDArray>& src, int priority) = 0;
/**
* \brief copy from src to dst[i] for every i
*/
virtual void Broadcast(int key,
const NDArray& src,
const std::vector<NDArray*> dst,
int priority) = 0;
/**
* \brief broadcast src to dst[i] with target row_ids for every i
* \param key the identifier key for the stored ndarray
* \param src the source row_sparse ndarray to broadcast
* \param dst a list of destination row_sparse NDArray and its target row_ids to broadcast,
where the row_ids are expected to be unique and sorted in row_id.data()
* \param priority the priority of the operation
*/
virtual void BroadcastRowSparse(int key,
const NDArray& src,
const std::vector<std::pair<NDArray*, NDArray>>& dst,
const int priority) = 0;
/**
* \brief return a pinned contex
*/
Context pinned_ctx() const {
return pinned_ctx_;
}
/**
* \brief Sets gradient compression parameters to be able to
* perform reduce with compressed gradients
*/
void SetGradientCompression(std::shared_ptr<GradientCompression> gc) {
gc_ = gc;
}
protected:
Context pinned_ctx_;
std::shared_ptr<GradientCompression> gc_;
};
/**
* \brief an implemention of Comm that first copy data to CPU memeory, and then
* reduce there
*/
class CommCPU : public Comm {
public:
CommCPU() {
nthread_reduction_ = dmlc::GetEnv("MXNET_KVSTORE_REDUCTION_NTHREADS", 4);
bigarray_bound_ = dmlc::GetEnv("MXNET_KVSTORE_BIGARRAY_BOUND", 1000 * 1000);
// TODO(junwu) delete the following data member, now for benchmark only
is_serial_push_ = dmlc::GetEnv("MXNET_KVSTORE_SERIAL_PUSH", 0);
}
virtual ~CommCPU() {}
void Init(int key,
const NDArrayStorageType stype,
const mxnet::TShape& shape,
int type = mshadow::kFloat32) override {
// Delayed allocation - the dense merged buffer might not be used at all if push()
// only sees sparse arrays
bool delay_alloc = true;
merge_buf_[key].merged = NDArray(shape, pinned_ctx_, delay_alloc, type);
}
const NDArray& Reduce(int key, const std::vector<NDArray>& src, int priority) override {
auto& buf = merge_buf_[key];
const auto stype = src[0].storage_type();
// avoid extra copy for single device, but it may bring problems for
// abnormal usage of kvstore
if (src.size() == 1) {
if (stype == kDefaultStorage) {
return src[0];
} else {
// With 'local' kvstore, we could store the weight on CPU while compute
// the gradient on GPU when the weight is extremely large.
// To avoiding copying the weight to the same context of the gradient,
// we always copy the gradient to merged buf.
NDArray& merged = buf.merged_buf(stype);
CopyFromTo(src[0], &merged, priority);
return merged;
}
}
NDArray& buf_merged = buf.merged_buf(stype);
// normal dense reduce
if (stype == kDefaultStorage) {
std::vector<Engine::VarHandle> const_vars(src.size() - 1);
std::vector<NDArray> reduce(src.size());
CopyFromTo(src[0], &buf_merged, priority);
reduce[0] = buf_merged;
if (buf.copy_buf.empty()) {
buf.copy_buf.resize(src.size() - 1);
for (size_t j = 0; j < src.size() - 1; ++j) {
// allocate copy buffer
buf.copy_buf[j] = NDArray(src[0].shape(), pinned_ctx_, false, src[0].dtype());
}
}
CHECK(stype == buf.copy_buf[0].storage_type())
<< "Storage type mismatch detected. " << stype << "(src) vs. "
<< buf.copy_buf[0].storage_type() << "(buf.copy_buf)";
for (size_t i = 1; i < src.size(); ++i) {
CopyFromTo(src[i], &(buf.copy_buf[i - 1]), priority);
reduce[i] = buf.copy_buf[i - 1];
const_vars[i - 1] = reduce[i].var();
}
Engine::Get()->PushAsync(
[reduce, this](RunContext rctx, Engine::CallbackOnComplete on_complete) {
ReduceSumCPU(reduce);
on_complete();
},
Context::CPU(),
const_vars,
{reduce[0].var()},
FnProperty::kCPUPrioritized,
priority,
"KVStoreReduce");
} else {
// sparse reduce
std::vector<Engine::VarHandle> const_vars(src.size());
std::vector<NDArray> reduce(src.size());
if (buf.copy_buf.empty()) {
buf.copy_buf.resize(src.size());
for (size_t j = 0; j < src.size(); ++j) {
buf.copy_buf[j] =
NDArray(src[0].storage_type(), src[0].shape(), pinned_ctx_, true, src[0].dtype());
}
}
CHECK(stype == buf.copy_buf[0].storage_type())
<< "Storage type mismatch detected. " << stype << "(src) vs. "
<< buf.copy_buf[0].storage_type() << "(buf.copy_buf)";
for (size_t i = 0; i < src.size(); ++i) {
CopyFromTo(src[i], &(buf.copy_buf[i]), priority);
reduce[i] = buf.copy_buf[i];
const_vars[i] = reduce[i].var();
}
Resource rsc = ResourceManager::Get()->Request(buf_merged.ctx(),
ResourceRequest(ResourceRequest::kTempSpace));
Engine::Get()->PushAsync(
[reduce, buf_merged, rsc, this](RunContext rctx, Engine::CallbackOnComplete on_complete) {
NDArray out = buf_merged;
is_serial_push_
? ReduceSumCPUExSerial(reduce, &out)
: mxnet::ndarray::ElementwiseSum(rctx.get_stream<cpu>(), rsc, reduce, &out);
on_complete();
},
Context::CPU(),
const_vars,
{buf_merged.var(), rsc.var},
FnProperty::kCPUPrioritized,
priority,
"KVStoreReduce");
}
return buf_merged;
}
void Broadcast(int key,
const NDArray& src,
const std::vector<NDArray*> dst,
int priority) override {
int mask = src.ctx().dev_mask();
if (mask == Context::kCPU) {
for (auto d : dst)
CopyFromTo(src, d, priority);
} else {
// First copy data to pinned_ctx, then broadcast.
// Note that kv.init initializes the data on pinned_ctx.
// This branch indicates push() with ndarrays on gpus were called,
// and the source is copied to gpu ctx.
// Also indicates that buffers are already initialized during push().
auto& buf = merge_buf_[key].merged_buf(src.storage_type());
CopyFromTo(src, &buf, priority);
for (auto d : dst)
CopyFromTo(buf, d, priority);
}
}
void BroadcastRowSparse(int key,
const NDArray& src,
const std::vector<std::pair<NDArray*, NDArray>>& dst,
const int priority) override {
using namespace mshadow;
CHECK_EQ(src.storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row-sparse src NDArray";
CHECK_EQ(src.ctx().dev_mask(), Context::kCPU)
<< "BroadcastRowSparse with src on gpu context not supported";
for (const auto& dst_kv : dst) {
NDArray* out = dst_kv.first;
NDArray row_id = dst_kv.second;
CHECK_EQ(out->storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row_sparse dst NDArray";
CHECK_EQ(row_id.ctx().dev_mask(), Context::kCPU)
<< "BroadcastRowSparse with row_indices on gpu context not supported";
// retain according to unique indices
const bool is_same_ctx = out->ctx() == src.ctx();
const bool is_diff_var = out->var() != src.var();
NDArray retained_cpu =
(is_same_ctx && is_diff_var)
? *out
: NDArray(
kRowSparseStorage, src.shape(), src.ctx(), true, src.dtype(), src.aux_types());
if (!is_diff_var) {
common::LogOnce("The output of row_sparse_pull() on key " + std::to_string(key) +
"refers to the same NDArray as the one stored in KVStore."
"Performing row_sparse_pull() with such output is going to change the "
"data stored in KVStore. Incorrect result may be generated "
"next time row_sparse_pull() is called. To avoid such an issue,"
"consider create a new NDArray buffer to store the output.");
}
Engine::Get()->PushAsync(
[=](RunContext rctx, Engine::CallbackOnComplete on_complete) {
const TBlob& indices = row_id.data();
NDArray temp = retained_cpu; // get rid the of const qualifier
op::SparseRetainOpForwardRspImpl<cpu>(
rctx.get_stream<cpu>(), src, indices, kWriteTo, &temp);
on_complete();
},
Context::CPU(),
{src.var(), row_id.var()},
{retained_cpu.var()},
FnProperty::kNormal,
priority,
"KVStoreSparseRetain");
// if retained_cpu == out, CopyFromTo will ignore the copy operation
CopyFromTo(retained_cpu, out, priority);
}
}
private:
// reduce sum into val[0]
inline void ReduceSumCPU(const std::vector<NDArray>& in_data) {
MSHADOW_TYPE_SWITCH(in_data[0].dtype(), DType, {
std::vector<DType*> dptr(in_data.size());
for (size_t i = 0; i < in_data.size(); ++i) {
TBlob data = in_data[i].data();
CHECK(data.CheckContiguous());
dptr[i] = data.FlatTo2D<cpu, DType>().dptr_;
}
size_t total = in_data[0].shape().Size();
ReduceSumCPUImpl(dptr, total);
});
}
// serial implementation of reduce sum for row sparse NDArray.
inline void ReduceSumCPUExSerial(const std::vector<NDArray>& in, NDArray* out) {
using namespace rowsparse;
using namespace mshadow;
auto stype = out->storage_type();
CHECK_EQ(stype, kRowSparseStorage) << "Unexpected storage type " << stype;
size_t total_num_rows = 0;
size_t num_in = in.size();
// skip the ones with empty indices and values
std::vector<bool> skip(num_in, false);
// the values tensor of the inputs
MSHADOW_TYPE_SWITCH(out->dtype(), DType, {
MSHADOW_IDX_TYPE_SWITCH(out->aux_type(kIdx), IType, {
std::vector<Tensor<cpu, 2, DType>> in_vals(num_in);
std::vector<Tensor<cpu, 1, IType>> in_indices(num_in);
// offset to the values tensor of all inputs
std::vector<size_t> offsets(num_in, 0);
std::vector<size_t> num_rows(num_in, 0);
for (size_t i = 0; i < num_in; i++) {
if (!in[i].storage_initialized()) {
skip[i] = true;
continue;
}
auto size = in[i].aux_shape(kIdx).Size();
num_rows[i] = size;
total_num_rows += size;
in_vals[i] = in[i].data().FlatTo2D<cpu, DType>();
in_indices[i] = in[i].aux_data(kIdx).FlatTo1D<cpu, IType>();
}
std::vector<IType> indices;
indices.reserve(total_num_rows);
// gather indices from all inputs
for (size_t i = 0; i < num_in; i++) {
for (size_t j = 0; j < num_rows[i]; j++) {
indices.emplace_back(in_indices[i][j]);
}
}
CHECK_EQ(indices.size(), total_num_rows);
// dedup indices
std::sort(indices.begin(), indices.end());
indices.resize(std::unique(indices.begin(), indices.end()) - indices.begin());
// the one left are unique non-zero rows
size_t nnr = indices.size();
// allocate memory for output
out->CheckAndAlloc({Shape1(nnr)});
auto idx_data = out->aux_data(kIdx).FlatTo1D<cpu, IType>();
auto val_data = out->data().FlatTo2D<cpu, DType>();
for (size_t i = 0; i < nnr; i++) {
// copy indices back
idx_data[i] = indices[i];
bool zeros = true;
for (size_t j = 0; j < num_in; j++) {
if (skip[j])
continue;
size_t offset = offsets[j];
if (offset < num_rows[j]) {
if (indices[i] == in_indices[j][offset]) {
if (zeros) {
Copy(val_data[i], in_vals[j][offset], nullptr);
zeros = false;
} else {
val_data[i] += in_vals[j][offset];
}
offsets[j] += 1;
}
}
}
}
});
});
}
template <typename DType>
inline static void ReduceSumCPU(const std::vector<DType*>& dptr, size_t offset, index_t size) {
using namespace mshadow; // NOLINT(*)
Tensor<cpu, 1, DType> in_0(dptr[0] + offset, Shape1(size));
for (size_t i = 1; i < dptr.size(); i += 4) {
switch (dptr.size() - i) {
case 1: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
in_0 += in_1;
break;
}
case 2: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_2(dptr[i + 1] + offset, Shape1(size));
in_0 += in_1 + in_2;
break;
}
case 3: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_2(dptr[i + 1] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_3(dptr[i + 2] + offset, Shape1(size));
in_0 += in_1 + in_2 + in_3;
break;
}
default: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_2(dptr[i + 1] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_3(dptr[i + 2] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_4(dptr[i + 3] + offset, Shape1(size));
in_0 += in_1 + in_2 + in_3 + in_4;
break;
}
}
}
}
template <typename DType>
inline void ReduceSumCPUImpl(std::vector<DType*> dptr, size_t total) {
const size_t step = std::min(bigarray_bound_, static_cast<size_t>(4 << 10));
long ntask = (total + step - 1) / step; // NOLINT(*)
if (total < bigarray_bound_ || nthread_reduction_ <= 1) {
ReduceSumCPU(dptr, 0, total);
} else {
#pragma omp parallel for schedule(static) num_threads(nthread_reduction_)
for (long j = 0; j < ntask; ++j) { // NOLINT(*)
size_t k = static_cast<size_t>(j);
size_t begin = std::min(k * step, total);
size_t end = std::min((k + 1) * step, total);
if (j == ntask - 1)
CHECK_EQ(end, total);
ReduceSumCPU(dptr, begin, static_cast<index_t>(end - begin));
}
}
}
/// \brief temporal space for pushing and pulling
struct BufferEntry {
/// \brief the merged value
NDArray merged;
/// \brief the cpu buffer for gpu data
std::vector<NDArray> copy_buf;
/// \brief the merged buffer for the given storage type
inline NDArray& merged_buf(NDArrayStorageType stype) {
if (stype == kDefaultStorage) {
return merged;
}
CHECK(stype == kRowSparseStorage) << "unexpected storage type " << stype;
// check if sparse_merged is initialized
if (sparse_merged.is_none()) {
CHECK(!merged.is_none());
sparse_merged =
NDArray(kRowSparseStorage, merged.shape(), merged.ctx(), true, merged.dtype());
}
return sparse_merged;
}
private:
/// \brief the sparse merged value
NDArray sparse_merged;
};
std::unordered_map<int, BufferEntry> merge_buf_;
size_t bigarray_bound_;
int nthread_reduction_;
bool is_serial_push_;
};
/**
* \brief an implementation of Comm that performs reduction on device
* directly.
*
* It is faster if the total device-to-device bandwidths is larger than
* device-to-cpu, which is often true for 4 or 8 GPUs. But it uses more device
* memory.
*/
class CommDevice : public Comm {
public:
CommDevice() {
inited_ = false;
}
virtual ~CommDevice() {}
void Init(int key,
const NDArrayStorageType stype,
const mxnet::TShape& shape,
int dtype = mshadow::kFloat32) override {
sorted_key_attrs_.emplace_back(key, shape, dtype);
inited_ = false;
}
void InitBuffersAndComm(const std::vector<NDArray>& src) {
if (!inited_) {
std::vector<Context> devs;
for (const auto& a : src) {
devs.push_back(a.ctx());
}
InitMergeBuffer(devs);
if (dmlc::GetEnv("MXNET_ENABLE_GPU_P2P", 1)) {
EnableP2P(devs);
}
}
}
const NDArray& ReduceRowSparse(int key, const std::vector<NDArray>& src, int priority) {
auto& buf = merge_buf_[key];
std::vector<NDArray> reduce(src.size());
const NDArrayStorageType stype = src[0].storage_type();
NDArray& buf_merged = buf.merged_buf(stype);
if (buf.copy_buf.empty()) {
// initialize buffer for copying during reduce
buf.copy_buf.resize(src.size());
for (size_t j = 0; j < src.size(); ++j) {
buf.copy_buf[j] = NDArray(stype, src[0].shape(), buf_merged.ctx(), true, src[0].dtype());
}
}
CHECK(src[0].storage_type() == buf.copy_buf[0].storage_type())
<< "Storage type mismatch detected. " << src[0].storage_type() << "(src) vs. "
<< buf.copy_buf[0].storage_type() << "(buf.copy_buf)";
for (size_t i = 0; i < src.size(); ++i) {
CopyFromTo(src[i], &(buf.copy_buf[i]), priority);
reduce[i] = buf.copy_buf[i];
}
ElementwiseSum(reduce, &buf_merged, priority);
return buf_merged;
}
const NDArray& Reduce(int key, const std::vector<NDArray>& src, int priority) override {
// when this reduce is called from kvstore_dist, gc is not set
// we don't do compression twice in dist_sync_device
if ((gc_ != nullptr) && (gc_->get_type() != CompressionType::kNone)) {
return ReduceCompressed(key, src, priority);
}
// avoid extra copy for single device, but it may bring problems for
// abnormal usage of kvstore
if (src.size() == 1) {
return src[0];
}
InitBuffersAndComm(src);
auto& buf = merge_buf_[key];
const NDArrayStorageType stype = src[0].storage_type();
NDArray& buf_merged = buf.merged_buf(stype);
// normal dense reduce
if (stype == kDefaultStorage) {
CopyFromTo(src[0], &buf_merged, priority);
std::vector<NDArray> reduce(src.size());
reduce[0] = buf_merged;
if (buf.copy_buf.empty()) {
// TODO(mli) this results in large device memory usage for huge ndarray,
// such as the largest fullc in VGG. consider to do segment reduce with
// NDArray.Slice or gpu direct memory access. for the latter, we need to
// remove some ctx check, and also it reduces 20% perf
buf.copy_buf.resize(src.size() - 1);
const std::string profiler_scope =
profiler::ProfilerScope::Get()->GetCurrentProfilerScope() + "comm_dev:";
for (size_t i = 0; i < src.size() - 1; ++i) {
buf.copy_buf[i] =
NDArray(buf_merged.shape(), buf_merged.ctx(), false, buf_merged.dtype());
buf.copy_buf[i].AssignStorageInfo(profiler_scope, "copy_buf");
}
}
for (size_t i = 0; i < src.size() - 1; ++i) {
CopyFromTo(src[i + 1], &(buf.copy_buf[i]), priority);
reduce[i + 1] = buf.copy_buf[i];
}
ElementwiseSum(reduce, &buf_merged, priority);
} else {
// sparse reduce
buf_merged = ReduceRowSparse(key, src, priority);
}
return buf_merged;
}
const NDArray& ReduceCompressed(int key, const std::vector<NDArray>& src, int priority) {
InitBuffersAndComm(src);
auto& buf = merge_buf_[key];
std::vector<NDArray> reduce(src.size());
if (buf.copy_buf.empty()) {
// one buf for each context
buf.copy_buf.resize(src.size());
buf.compressed_recv_buf.resize(src.size());
buf.compressed_send_buf.resize(src.size());
buf.residual.resize(src.size());
const std::string profiler_scope =
profiler::ProfilerScope::Get()->GetCurrentProfilerScope() + "comm_dev:";
for (size_t i = 0; i < src.size(); ++i) {
buf.copy_buf[i] = NDArray(buf.merged.shape(), buf.merged.ctx(), false, buf.merged.dtype());
buf.copy_buf[i].AssignStorageInfo(profiler_scope, "copy_buf");
buf.residual[i] = NDArray(buf.merged.shape(), src[i].ctx(), false, buf.merged.dtype());
buf.residual[i].AssignStorageInfo(profiler_scope, "residual");
buf.residual[i] = 0;
int64_t small_size = gc_->GetCompressedSize(buf.merged.shape().Size());
buf.compressed_recv_buf[i] =
NDArray(mxnet::TShape{small_size}, buf.merged.ctx(), false, buf.merged.dtype());
buf.compressed_recv_buf[i].AssignStorageInfo(profiler_scope, "compressed_recv_buf");
buf.compressed_send_buf[i] =
NDArray(mxnet::TShape{small_size}, src[i].ctx(), false, buf.merged.dtype());
buf.compressed_send_buf[i].AssignStorageInfo(profiler_scope, "compressed_send_buf");
}
}
for (size_t i = 0; i < src.size(); ++i) {
// compress before copy
// this is done even if the data is on same context as copy_buf because
// we don't want the training to be biased towards data on this GPU
gc_->Quantize(src[i], &(buf.compressed_send_buf[i]), &(buf.residual[i]), priority);
if (buf.compressed_send_buf[i].ctx() != buf.compressed_recv_buf[i].ctx()) {
CopyFromTo(buf.compressed_send_buf[i], &(buf.compressed_recv_buf[i]), priority);
} else {
// avoid memory copy when they are on same context
buf.compressed_recv_buf[i] = buf.compressed_send_buf[i];
}
gc_->Dequantize(buf.compressed_recv_buf[i], &(buf.copy_buf[i]), priority);
reduce[i] = buf.copy_buf[i];
}
ElementwiseSum(reduce, &buf.merged);
return buf.merged;
}
void Broadcast(int key,
const NDArray& src,
const std::vector<NDArray*> dst,
int priority) override {
if (!inited_) {
// copy to a random device first
int dev_id = key % dst.size();
CopyFromTo(src, dst[dev_id], priority);
for (size_t i = 0; i < dst.size(); ++i) {
if (i != static_cast<size_t>(dev_id)) {
CopyFromTo(*dst[dev_id], dst[i], priority);
}
}
} else {
auto& buf_merged = merge_buf_[key].merged_buf(src.storage_type());
CopyFromTo(src, &buf_merged, priority);
for (auto d : dst) {
CopyFromTo(buf_merged, d, priority);
}
}
}
void BroadcastRowSparse(int key,
const NDArray& src,
const std::vector<std::pair<NDArray*, NDArray>>& dst,
const int priority) override {
CHECK_EQ(src.storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row-sparse src NDArray";
for (const auto& dst_kv : dst) {
NDArray* out = dst_kv.first;
NDArray row_id = dst_kv.second;
CHECK_EQ(out->storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row_sparse dst NDArray";
CHECK_EQ(row_id.ctx(), src.ctx()) << "row_id and src are expected to be on the same context";
// retain according to indices
const bool is_same_ctx = out->ctx() == src.ctx();
const bool is_diff_var = out->var() != src.var();
NDArray retained_gpu = (is_same_ctx && is_diff_var) ? *out
: NDArray(kRowSparseStorage,
out->shape(),
src.ctx(),
true,
out->dtype(),
out->aux_types());
if (!is_diff_var) {
common::LogOnce("The output of row_sparse_pull() on key " + std::to_string(key) +
"refers to the same NDArray as the one stored in KVStore."
"Performing row_sparse_pull() with such output is going to change the "
"data stored in KVStore. Incorrect result may be generated "
"next time row_sparse_pull() is called. To avoid such an issue,"
"consider create a new NDArray buffer to store the output.");
}
bool is_gpu = retained_gpu.ctx().dev_mask() == gpu::kDevMask;
Engine::Get()->PushAsync(
[=](RunContext rctx, Engine::CallbackOnComplete on_complete) {
const TBlob& indices = row_id.data();
using namespace mxnet::common;
NDArray temp = retained_gpu;
switch (temp.ctx().dev_mask()) {
case cpu::kDevMask: {
SparseRetainOpForwardRspWrapper<cpu>(
rctx.get_stream<cpu>(), src, indices, kWriteTo, &temp);
break;
}
#if MXNET_USE_CUDA
case gpu::kDevMask: {
SparseRetainOpForwardRspWrapper<gpu>(
rctx.get_stream<gpu>(), src, indices, kWriteTo, &temp);
// wait for GPU operations to complete
rctx.get_stream<gpu>()->Wait();
break;
}
#endif
default:
LOG(FATAL) << MXNET_GPU_NOT_ENABLED_ERROR;
}
on_complete();
},
retained_gpu.ctx(),
{src.var(), row_id.var()},
{retained_gpu.var()},
is_gpu ? FnProperty::kGPUPrioritized : FnProperty::kCPUPrioritized,
priority,
"KVStoreSparseRetain");
CopyFromTo(retained_gpu, out, priority);
}
}
using KeyAttrs = std::tuple<int, mxnet::TShape, int>;
// try to allocate buff on device evenly
void InitMergeBuffer(const std::vector<Context>& devs) {
std::sort(sorted_key_attrs_.begin(),
sorted_key_attrs_.end(),
[](const KeyAttrs& a, const KeyAttrs& b) {
return std::get<1>(a).Size() > std::get<1>(b).Size();
});
std::unordered_map<int, std::pair<Context, size_t>> ctx_info;
for (auto d : devs) {
ctx_info[d.dev_id] = std::make_pair(d, 0);
}
const std::string profiler_scope =
profiler::ProfilerScope::Get()->GetCurrentProfilerScope() + "kvstore:comm_dev:";
for (auto& sorted_key_attr : sorted_key_attrs_) {
const int key = std::get<0>(sorted_key_attr);
const mxnet::TShape& shape = std::get<1>(sorted_key_attr);
const int type = std::get<2>(sorted_key_attr);
auto& buf = merge_buf_[key];
Context ctx;
size_t min_size = std::numeric_limits<size_t>::max();
for (auto& ctx_info_kv : ctx_info) {
size_t size = ctx_info_kv.second.second;
if (size <= min_size) {
ctx = ctx_info_kv.second.first;
min_size = size;
}
}
// Delayed allocation - as the dense merged buffer might not be used at all if push()
// only sees sparse arrays
if (buf.merged.is_none()) {
bool delay_alloc = true;
buf.merged = NDArray(shape, ctx, delay_alloc, type);
buf.merged.AssignStorageInfo(profiler_scope, "merge_buf_" + std::to_string(key));
}
ctx_info[ctx.dev_id].second += shape.Size();
}
inited_ = true;
}
private:
void EnableP2P(const std::vector<Context>& devs) {
#if MXNET_USE_CUDA
std::vector<int> gpus;
for (const auto& d : devs) {
if (d.dev_mask() == gpu::kDevMask) {
gpus.push_back(d.dev_id);
}
}
int n = static_cast<int>(gpus.size());
int enabled = 0;
std::vector<int> p2p(n * n);
for (int i = 0; i < n; ++i) {
// Restores active device to what it was before EnableP2P
mxnet::common::cuda::DeviceStore device_store(gpus[i]);
for (int j = 0; j < n; j++) {
int access;
cudaDeviceCanAccessPeer(&access, gpus[i], gpus[j]);
if (access) {
cudaError_t e = cudaDeviceEnablePeerAccess(gpus[j], 0);
if (e == cudaSuccess || e == cudaErrorPeerAccessAlreadyEnabled) {
++enabled;
p2p[i * n + j] = 1;
}
}
}
}
if (enabled != n * (n - 1)) {
// print warning info if not fully enabled
LOG(WARNING) << "only " << enabled << " out of " << n * (n - 1)
<< " GPU pairs are enabled direct access. "
<< "It may affect the performance. "
<< "You can set MXNET_ENABLE_GPU_P2P=0 to turn it off";
std::string access(n, '.');
for (int i = 0; i < n; ++i) {
for (int j = 0; j < n; ++j) {
access[j] = p2p[i * n + j] ? 'v' : '.';
}
LOG(WARNING) << access;
}
}
#endif
}
/// \brief temporal space for pushing and pulling
struct BufferEntry {
/// \brief the dense merged value for reduce and broadcast operations
NDArray merged;
/// \brief the gpu buffer for copy during reduce operation
std::vector<NDArray> copy_buf;
/// \brief the residual buffer for gradient compression
std::vector<NDArray> residual;
/// \brief the small buffer for compressed data in sender
std::vector<NDArray> compressed_send_buf;
/// \brief the small buffer for compressed data in receiver
std::vector<NDArray> compressed_recv_buf;
/// \brief the merged buffer for the given storage type (could be either dense or row_sparse)
inline NDArray& merged_buf(NDArrayStorageType stype) {
if (stype == kDefaultStorage) {
CHECK(!merged.is_none()) << "unintialized merge buffer detected";
return merged;
}
CHECK(stype == kRowSparseStorage) << "unexpected storage type " << stype;
// check if sparse_merged is initialized
if (sparse_merged.is_none()) {
CHECK(!merged.is_none());
sparse_merged =
NDArray(kRowSparseStorage, merged.shape(), merged.ctx(), true, merged.dtype());
}
return sparse_merged;
}
private:
/// \brief the sparse merged value for reduce and rowsparse broadcast operations
NDArray sparse_merged;
};
std::unordered_map<int, BufferEntry> merge_buf_;
public:
bool inited_;
std::vector<KeyAttrs> sorted_key_attrs_;
};
} // namespace kvstore
} // namespace mxnet
#endif // MXNET_KVSTORE_COMM_H_
|
libperf.c | /**
* Copyright (C) Mellanox Technologies Ltd. 2001-2019. ALL RIGHTS RESERVED.
* Copyright (C) UT-Battelle, LLC. 2015. ALL RIGHTS RESERVED.
* Copyright (C) The University of Tennessee and The University
* of Tennessee Research Foundation. 2015-2016. ALL RIGHTS RESERVED.
* Copyright (C) ARM Ltd. 2017. ALL RIGHTS RESERVED.
* See file LICENSE for terms.
*/
#include <ucs/debug/log.h>
#include <ucs/arch/bitops.h>
#include <ucs/sys/module.h>
#include <string.h>
#include <malloc.h>
#include <tools/perf/lib/libperf_int.h>
#include <unistd.h>
#define ATOMIC_OP_CONFIG(_size, _op32, _op64, _op, _msg, _params, _status) \
_status = __get_atomic_flag((_size), (_op32), (_op64), (_op)); \
if (_status != UCS_OK) { \
ucs_error("%s/%s does not support atomic %s for message size %zu bytes", \
(_params)->uct.tl_name, (_params)->uct.dev_name, \
(_msg)[_op], (_size)); \
return _status; \
}
#define ATOMIC_OP_CHECK(_size, _attr, _required, _params, _msg) \
if (!ucs_test_all_flags(_attr, _required)) { \
if ((_params)->flags & UCX_PERF_TEST_FLAG_VERBOSE) { \
ucs_error("%s/%s does not support required "#_size"-bit atomic: %s", \
(_params)->uct.tl_name, (_params)->uct.dev_name, \
(_msg)[ucs_ffs64(~(_attr) & (_required))]); \
} \
return UCS_ERR_UNSUPPORTED; \
}
typedef struct {
union {
struct {
size_t dev_addr_len;
size_t iface_addr_len;
size_t ep_addr_len;
} uct;
struct {
size_t addr_len;
} ucp;
};
size_t rkey_size;
unsigned long recv_buffer;
} ucx_perf_ep_info_t;
const ucx_perf_allocator_t* ucx_perf_mem_type_allocators[UCT_MD_MEM_TYPE_LAST];
static const char *perf_iface_ops[] = {
[ucs_ilog2(UCT_IFACE_FLAG_AM_SHORT)] = "am short",
[ucs_ilog2(UCT_IFACE_FLAG_AM_BCOPY)] = "am bcopy",
[ucs_ilog2(UCT_IFACE_FLAG_AM_ZCOPY)] = "am zcopy",
[ucs_ilog2(UCT_IFACE_FLAG_PUT_SHORT)] = "put short",
[ucs_ilog2(UCT_IFACE_FLAG_PUT_BCOPY)] = "put bcopy",
[ucs_ilog2(UCT_IFACE_FLAG_PUT_ZCOPY)] = "put zcopy",
[ucs_ilog2(UCT_IFACE_FLAG_GET_SHORT)] = "get short",
[ucs_ilog2(UCT_IFACE_FLAG_GET_BCOPY)] = "get bcopy",
[ucs_ilog2(UCT_IFACE_FLAG_GET_ZCOPY)] = "get zcopy",
[ucs_ilog2(UCT_IFACE_FLAG_ERRHANDLE_PEER_FAILURE)] = "peer failure handler",
[ucs_ilog2(UCT_IFACE_FLAG_CONNECT_TO_IFACE)] = "connect to iface",
[ucs_ilog2(UCT_IFACE_FLAG_CONNECT_TO_EP)] = "connect to ep",
[ucs_ilog2(UCT_IFACE_FLAG_AM_DUP)] = "full reliability",
[ucs_ilog2(UCT_IFACE_FLAG_CB_SYNC)] = "sync callback",
[ucs_ilog2(UCT_IFACE_FLAG_CB_ASYNC)] = "async callback",
[ucs_ilog2(UCT_IFACE_FLAG_EVENT_SEND_COMP)] = "send completion event",
[ucs_ilog2(UCT_IFACE_FLAG_EVENT_RECV)] = "tag or active message event",
[ucs_ilog2(UCT_IFACE_FLAG_EVENT_RECV_SIG)] = "signaled message event",
[ucs_ilog2(UCT_IFACE_FLAG_PENDING)] = "pending",
[ucs_ilog2(UCT_IFACE_FLAG_TAG_EAGER_SHORT)] = "tag eager short",
[ucs_ilog2(UCT_IFACE_FLAG_TAG_EAGER_BCOPY)] = "tag eager bcopy",
[ucs_ilog2(UCT_IFACE_FLAG_TAG_EAGER_ZCOPY)] = "tag eager zcopy",
[ucs_ilog2(UCT_IFACE_FLAG_TAG_RNDV_ZCOPY)] = "tag rndv zcopy"
};
static const char *perf_atomic_op[] = {
[UCT_ATOMIC_OP_ADD] = "add",
[UCT_ATOMIC_OP_AND] = "and",
[UCT_ATOMIC_OP_OR] = "or" ,
[UCT_ATOMIC_OP_XOR] = "xor"
};
static const char *perf_atomic_fop[] = {
[UCT_ATOMIC_OP_ADD] = "fetch-add",
[UCT_ATOMIC_OP_AND] = "fetch-and",
[UCT_ATOMIC_OP_OR] = "fetch-or",
[UCT_ATOMIC_OP_XOR] = "fetch-xor",
[UCT_ATOMIC_OP_SWAP] = "swap",
[UCT_ATOMIC_OP_CSWAP] = "cswap"
};
/*
* This Quickselect routine is based on the algorithm described in
* "Numerical recipes in C", Second Edition,
* Cambridge University Press, 1992, Section 8.5, ISBN 0-521-43108-5
* This code by Nicolas Devillard - 1998. Public domain.
*/
static ucs_time_t __find_median_quick_select(ucs_time_t arr[], int n)
{
int low, high ;
int median;
int middle, ll, hh;
#define ELEM_SWAP(a,b) { register ucs_time_t t=(a);(a)=(b);(b)=t; }
low = 0 ; high = n-1 ; median = (low + high) / 2;
for (;;) {
if (high <= low) /* One element only */
return arr[median] ;
if (high == low + 1) { /* Two elements only */
if (arr[low] > arr[high])
ELEM_SWAP(arr[low], arr[high]) ;
return arr[median] ;
}
/* Find median of low, middle and high items; swap into position low */
middle = (low + high) / 2;
if (arr[middle] > arr[high]) ELEM_SWAP(arr[middle], arr[high]) ;
if (arr[low] > arr[high]) ELEM_SWAP(arr[low], arr[high]) ;
if (arr[middle] > arr[low]) ELEM_SWAP(arr[middle], arr[low]) ;
/* Swap low item (now in position middle) into position (low+1) */
ELEM_SWAP(arr[middle], arr[low+1]) ;
/* Nibble from each end towards middle, swapping items when stuck */
ll = low + 1;
hh = high;
for (;;) {
do ll++; while (arr[low] > arr[ll]) ;
do hh--; while (arr[hh] > arr[low]) ;
if (hh < ll)
break;
ELEM_SWAP(arr[ll], arr[hh]) ;
}
/* Swap middle item (in position low) back into correct position */
ELEM_SWAP(arr[low], arr[hh]) ;
/* Re-set active partition */
if (hh <= median)
low = ll;
if (hh >= median)
high = hh - 1;
}
}
static ucs_status_t uct_perf_test_alloc_mem(ucx_perf_context_t *perf)
{
ucx_perf_params_t *params = &perf->params;
ucs_status_t status;
unsigned flags;
size_t buffer_size;
if ((UCT_PERF_DATA_LAYOUT_ZCOPY == params->uct.data_layout) && params->iov_stride) {
buffer_size = params->msg_size_cnt * params->iov_stride;
} else {
buffer_size = ucx_perf_get_message_size(params);
}
/* TODO use params->alignment */
flags = (params->flags & UCX_PERF_TEST_FLAG_MAP_NONBLOCK) ?
UCT_MD_MEM_FLAG_NONBLOCK : 0;
flags |= UCT_MD_MEM_ACCESS_ALL;
/* Allocate send buffer memory */
status = uct_iface_mem_alloc(perf->uct.iface,
buffer_size * params->thread_count,
flags, "perftest", &perf->uct.send_mem);
if (status != UCS_OK) {
ucs_error("Failed allocate send buffer: %s", ucs_status_string(status));
goto err;
}
ucs_assert(perf->uct.send_mem.md == perf->uct.md);
perf->send_buffer = perf->uct.send_mem.address;
/* Allocate receive buffer memory */
status = uct_iface_mem_alloc(perf->uct.iface,
buffer_size * params->thread_count,
flags, "perftest", &perf->uct.recv_mem);
if (status != UCS_OK) {
ucs_error("Failed allocate receive buffer: %s", ucs_status_string(status));
goto err_free_send;
}
ucs_assert(perf->uct.recv_mem.md == perf->uct.md);
perf->recv_buffer = perf->uct.recv_mem.address;
/* Allocate IOV datatype memory */
perf->params.msg_size_cnt = params->msg_size_cnt;
perf->uct.iov = malloc(sizeof(*perf->uct.iov) *
perf->params.msg_size_cnt *
params->thread_count);
if (NULL == perf->uct.iov) {
status = UCS_ERR_NO_MEMORY;
ucs_error("Failed allocate send IOV(%lu) buffer: %s",
perf->params.msg_size_cnt, ucs_status_string(status));
goto err_free_send;
}
perf->offset = 0;
ucs_debug("allocated memory. Send buffer %p, Recv buffer %p",
perf->send_buffer, perf->recv_buffer);
return UCS_OK;
err_free_send:
uct_iface_mem_free(&perf->uct.send_mem);
err:
return status;
}
static void uct_perf_test_free_mem(ucx_perf_context_t *perf)
{
uct_iface_mem_free(&perf->uct.send_mem);
uct_iface_mem_free(&perf->uct.recv_mem);
free(perf->uct.iov);
}
void ucx_perf_test_start_clock(ucx_perf_context_t *perf)
{
ucs_time_t start_time = ucs_get_time();
perf->start_time_acc = ucs_get_accurate_time();
perf->end_time = (perf->params.max_time == 0.0) ? UINT64_MAX :
ucs_time_from_sec(perf->params.max_time) + start_time;
perf->prev_time = start_time;
perf->prev.time = start_time;
perf->prev.time_acc = perf->start_time_acc;
perf->current.time_acc = perf->start_time_acc;
}
static void ucx_perf_test_reset(ucx_perf_context_t *perf,
ucx_perf_params_t *params)
{
unsigned i;
perf->params = *params;
perf->max_iter = (perf->params.max_iter == 0) ? UINT64_MAX :
perf->params.max_iter;
perf->report_interval = ucs_time_from_sec(perf->params.report_interval);
perf->current.time = 0;
perf->current.msgs = 0;
perf->current.bytes = 0;
perf->current.iters = 0;
perf->prev.msgs = 0;
perf->prev.bytes = 0;
perf->prev.iters = 0;
perf->timing_queue_head = 0;
perf->offset = 0;
perf->allocator = ucx_perf_mem_type_allocators[params->mem_type];
for (i = 0; i < TIMING_QUEUE_SIZE; ++i) {
perf->timing_queue[i] = 0;
}
ucx_perf_test_start_clock(perf);
}
void ucx_perf_calc_result(ucx_perf_context_t *perf, ucx_perf_result_t *result)
{
ucs_time_t median;
double factor;
if (perf->params.test_type == UCX_PERF_TEST_TYPE_PINGPONG) {
factor = 2.0;
} else {
factor = 1.0;
}
result->iters = perf->current.iters;
result->bytes = perf->current.bytes;
result->elapsed_time = perf->current.time_acc - perf->start_time_acc;
/* Latency */
median = __find_median_quick_select(perf->timing_queue, TIMING_QUEUE_SIZE);
result->latency.typical = ucs_time_to_sec(median) / factor;
result->latency.moment_average =
(perf->current.time_acc - perf->prev.time_acc)
/ (perf->current.iters - perf->prev.iters)
/ factor;
result->latency.total_average =
(perf->current.time_acc - perf->start_time_acc)
/ perf->current.iters
/ factor;
/* Bandwidth */
result->bandwidth.typical = 0.0; // Undefined
result->bandwidth.moment_average =
(perf->current.bytes - perf->prev.bytes) /
(perf->current.time_acc - perf->prev.time_acc) * factor;
result->bandwidth.total_average =
perf->current.bytes /
(perf->current.time_acc - perf->start_time_acc) * factor;
/* Packet rate */
result->msgrate.typical = 0.0; // Undefined
result->msgrate.moment_average =
(perf->current.msgs - perf->prev.msgs) /
(perf->current.time_acc - perf->prev.time_acc) * factor;
result->msgrate.total_average =
perf->current.msgs /
(perf->current.time_acc - perf->start_time_acc) * factor;
}
static ucs_status_t ucx_perf_test_check_params(ucx_perf_params_t *params)
{
size_t it;
if (ucx_perf_get_message_size(params) < 1) {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("Message size too small, need to be at least 1");
}
return UCS_ERR_INVALID_PARAM;
}
if (params->max_outstanding < 1) {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("max_outstanding, need to be at least 1");
}
return UCS_ERR_INVALID_PARAM;
}
/* check if particular message size fit into stride size */
if (params->iov_stride) {
for (it = 0; it < params->msg_size_cnt; ++it) {
if (params->msg_size_list[it] > params->iov_stride) {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("Buffer size %lu bigger than stride %lu",
params->msg_size_list[it], params->iov_stride);
}
return UCS_ERR_INVALID_PARAM;
}
}
}
return UCS_OK;
}
void uct_perf_iface_flush_b(ucx_perf_context_t *perf)
{
ucs_status_t status;
do {
status = uct_iface_flush(perf->uct.iface, 0, NULL);
uct_worker_progress(perf->uct.worker);
} while (status == UCS_INPROGRESS);
}
static inline uint64_t __get_flag(uct_perf_data_layout_t layout, uint64_t short_f,
uint64_t bcopy_f, uint64_t zcopy_f)
{
return (layout == UCT_PERF_DATA_LAYOUT_SHORT) ? short_f :
(layout == UCT_PERF_DATA_LAYOUT_BCOPY) ? bcopy_f :
(layout == UCT_PERF_DATA_LAYOUT_ZCOPY) ? zcopy_f :
0;
}
static inline ucs_status_t __get_atomic_flag(size_t size, uint64_t *op32,
uint64_t *op64, uint64_t op)
{
if (size == sizeof(uint32_t)) {
*op32 = UCS_BIT(op);
return UCS_OK;
} else if (size == sizeof(uint64_t)) {
*op64 = UCS_BIT(op);
return UCS_OK;
}
return UCS_ERR_UNSUPPORTED;
}
static inline size_t __get_max_size(uct_perf_data_layout_t layout, size_t short_m,
size_t bcopy_m, uint64_t zcopy_m)
{
return (layout == UCT_PERF_DATA_LAYOUT_SHORT) ? short_m :
(layout == UCT_PERF_DATA_LAYOUT_BCOPY) ? bcopy_m :
(layout == UCT_PERF_DATA_LAYOUT_ZCOPY) ? zcopy_m :
0;
}
static ucs_status_t uct_perf_test_check_capabilities(ucx_perf_params_t *params,
uct_iface_h iface)
{
uint64_t required_flags = 0;
uint64_t atomic_op32 = 0;
uint64_t atomic_op64 = 0;
uint64_t atomic_fop32 = 0;
uint64_t atomic_fop64 = 0;
uct_iface_attr_t attr;
ucs_status_t status;
size_t min_size, max_size, max_iov, message_size;
status = uct_iface_query(iface, &attr);
if (status != UCS_OK) {
return status;
}
min_size = 0;
max_iov = 1;
message_size = ucx_perf_get_message_size(params);
switch (params->command) {
case UCX_PERF_CMD_AM:
required_flags = __get_flag(params->uct.data_layout, UCT_IFACE_FLAG_AM_SHORT,
UCT_IFACE_FLAG_AM_BCOPY, UCT_IFACE_FLAG_AM_ZCOPY);
required_flags |= UCT_IFACE_FLAG_CB_SYNC;
min_size = __get_max_size(params->uct.data_layout, 0, 0,
attr.cap.am.min_zcopy);
max_size = __get_max_size(params->uct.data_layout, attr.cap.am.max_short,
attr.cap.am.max_bcopy, attr.cap.am.max_zcopy);
max_iov = attr.cap.am.max_iov;
break;
case UCX_PERF_CMD_PUT:
required_flags = __get_flag(params->uct.data_layout, UCT_IFACE_FLAG_PUT_SHORT,
UCT_IFACE_FLAG_PUT_BCOPY, UCT_IFACE_FLAG_PUT_ZCOPY);
min_size = __get_max_size(params->uct.data_layout, 0, 0,
attr.cap.put.min_zcopy);
max_size = __get_max_size(params->uct.data_layout, attr.cap.put.max_short,
attr.cap.put.max_bcopy, attr.cap.put.max_zcopy);
max_iov = attr.cap.put.max_iov;
break;
case UCX_PERF_CMD_GET:
required_flags = __get_flag(params->uct.data_layout, UCT_IFACE_FLAG_GET_SHORT,
UCT_IFACE_FLAG_GET_BCOPY, UCT_IFACE_FLAG_GET_ZCOPY);
min_size = __get_max_size(params->uct.data_layout, 0, 0,
attr.cap.get.min_zcopy);
max_size = __get_max_size(params->uct.data_layout, attr.cap.get.max_short,
attr.cap.get.max_bcopy, attr.cap.get.max_zcopy);
max_iov = attr.cap.get.max_iov;
break;
case UCX_PERF_CMD_ADD:
ATOMIC_OP_CONFIG(message_size, &atomic_op32, &atomic_op64, UCT_ATOMIC_OP_ADD,
perf_atomic_op, params, status);
max_size = 8;
break;
case UCX_PERF_CMD_FADD:
ATOMIC_OP_CONFIG(message_size, &atomic_fop32, &atomic_fop64, UCT_ATOMIC_OP_ADD,
perf_atomic_fop, params, status);
max_size = 8;
break;
case UCX_PERF_CMD_SWAP:
ATOMIC_OP_CONFIG(message_size, &atomic_fop32, &atomic_fop64, UCT_ATOMIC_OP_SWAP,
perf_atomic_fop, params, status);
max_size = 8;
break;
case UCX_PERF_CMD_CSWAP:
ATOMIC_OP_CONFIG(message_size, &atomic_fop32, &atomic_fop64, UCT_ATOMIC_OP_CSWAP,
perf_atomic_fop, params, status);
max_size = 8;
break;
default:
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("Invalid test command");
}
return UCS_ERR_INVALID_PARAM;
}
status = ucx_perf_test_check_params(params);
if (status != UCS_OK) {
return status;
}
/* check atomics first */
ATOMIC_OP_CHECK(32, attr.cap.atomic32.op_flags, atomic_op32, params, perf_atomic_op);
ATOMIC_OP_CHECK(64, attr.cap.atomic64.op_flags, atomic_op64, params, perf_atomic_op);
ATOMIC_OP_CHECK(32, attr.cap.atomic32.fop_flags, atomic_fop32, params, perf_atomic_fop);
ATOMIC_OP_CHECK(64, attr.cap.atomic64.fop_flags, atomic_fop64, params, perf_atomic_fop);
/* check iface flags */
if (!(atomic_op32 | atomic_op64 | atomic_fop32 | atomic_fop64) &&
(!ucs_test_all_flags(attr.cap.flags, required_flags) || !required_flags)) {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("%s/%s does not support operation %s",
params->uct.tl_name, params->uct.dev_name,
perf_iface_ops[ucs_ffs64(~attr.cap.flags & required_flags)]);
}
return UCS_ERR_UNSUPPORTED;
}
if (message_size < min_size) {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("Message size (%zu) is smaller than min supported (%zu)",
message_size, min_size);
}
return UCS_ERR_UNSUPPORTED;
}
if (message_size > max_size) {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("Message size (%zu) is larger than max supported (%zu)",
message_size, max_size);
}
return UCS_ERR_UNSUPPORTED;
}
if (params->command == UCX_PERF_CMD_AM) {
if ((params->uct.data_layout == UCT_PERF_DATA_LAYOUT_SHORT) &&
(params->am_hdr_size != sizeof(uint64_t)))
{
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("Short AM header size must be 8 bytes");
}
return UCS_ERR_INVALID_PARAM;
}
if ((params->uct.data_layout == UCT_PERF_DATA_LAYOUT_ZCOPY) &&
(params->am_hdr_size > attr.cap.am.max_hdr))
{
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("AM header size (%zu) is larger than max supported (%zu)",
params->am_hdr_size, attr.cap.am.max_hdr);
}
return UCS_ERR_UNSUPPORTED;
}
if (params->am_hdr_size > message_size) {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("AM header size (%zu) is larger than message size (%zu)",
params->am_hdr_size, message_size);
}
return UCS_ERR_INVALID_PARAM;
}
if (params->uct.fc_window > UCT_PERF_TEST_MAX_FC_WINDOW) {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("AM flow-control window (%d) too large (should be <= %d)",
params->uct.fc_window, UCT_PERF_TEST_MAX_FC_WINDOW);
}
return UCS_ERR_INVALID_PARAM;
}
if ((params->flags & UCX_PERF_TEST_FLAG_ONE_SIDED) &&
(params->flags & UCX_PERF_TEST_FLAG_VERBOSE))
{
ucs_warn("Running active-message test with on-sided progress");
}
}
if (UCT_PERF_DATA_LAYOUT_ZCOPY == params->uct.data_layout) {
if (params->msg_size_cnt > max_iov) {
if ((params->flags & UCX_PERF_TEST_FLAG_VERBOSE) ||
!params->msg_size_cnt) {
ucs_error("Wrong number of IOV entries. Requested is %lu, "
"should be in the range 1...%lu", params->msg_size_cnt,
max_iov);
}
return UCS_ERR_UNSUPPORTED;
}
/* if msg_size_cnt == 1 the message size checked above */
if ((UCX_PERF_CMD_AM == params->command) && (params->msg_size_cnt > 1)) {
if (params->am_hdr_size > params->msg_size_list[0]) {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("AM header size (%lu) larger than the first IOV "
"message size (%lu)", params->am_hdr_size,
params->msg_size_list[0]);
}
return UCS_ERR_INVALID_PARAM;
}
}
}
return UCS_OK;
}
static ucs_status_t uct_perf_test_setup_endpoints(ucx_perf_context_t *perf)
{
const size_t buffer_size = 2048;
ucx_perf_ep_info_t info, *remote_info;
unsigned group_size, i, group_index;
uct_device_addr_t *dev_addr;
uct_iface_addr_t *iface_addr;
uct_ep_addr_t *ep_addr;
uct_iface_attr_t iface_attr;
uct_md_attr_t md_attr;
uct_ep_params_t ep_params;
void *rkey_buffer;
ucs_status_t status;
struct iovec vec[5];
void *buffer;
void *req;
buffer = malloc(buffer_size);
if (buffer == NULL) {
ucs_error("Failed to allocate RTE buffer");
status = UCS_ERR_NO_MEMORY;
goto err;
}
status = uct_iface_query(perf->uct.iface, &iface_attr);
if (status != UCS_OK) {
ucs_error("Failed to uct_iface_query: %s", ucs_status_string(status));
goto err_free;
}
status = uct_md_query(perf->uct.md, &md_attr);
if (status != UCS_OK) {
ucs_error("Failed to uct_md_query: %s", ucs_status_string(status));
goto err_free;
}
if (md_attr.cap.flags & (UCT_MD_FLAG_ALLOC|UCT_MD_FLAG_REG)) {
info.rkey_size = md_attr.rkey_packed_size;
} else {
info.rkey_size = 0;
}
info.uct.dev_addr_len = iface_attr.device_addr_len;
info.uct.iface_addr_len = iface_attr.iface_addr_len;
info.uct.ep_addr_len = iface_attr.ep_addr_len;
info.recv_buffer = (uintptr_t)perf->recv_buffer;
rkey_buffer = buffer;
dev_addr = (void*)rkey_buffer + info.rkey_size;
iface_addr = (void*)dev_addr + info.uct.dev_addr_len;
ep_addr = (void*)iface_addr + info.uct.iface_addr_len;
ucs_assert_always((void*)ep_addr + info.uct.ep_addr_len <= buffer + buffer_size);
status = uct_iface_get_device_address(perf->uct.iface, dev_addr);
if (status != UCS_OK) {
ucs_error("Failed to uct_iface_get_device_address: %s",
ucs_status_string(status));
goto err_free;
}
status = uct_iface_get_address(perf->uct.iface, iface_addr);
if (status != UCS_OK) {
ucs_error("Failed to uct_iface_get_address: %s", ucs_status_string(status));
goto err_free;
}
if (info.rkey_size > 0) {
memset(rkey_buffer, 0, info.rkey_size);
status = uct_md_mkey_pack(perf->uct.md, perf->uct.recv_mem.memh, rkey_buffer);
if (status != UCS_OK) {
ucs_error("Failed to uct_rkey_pack: %s", ucs_status_string(status));
goto err_free;
}
}
group_size = rte_call(perf, group_size);
group_index = rte_call(perf, group_index);
perf->uct.peers = calloc(group_size, sizeof(*perf->uct.peers));
if (perf->uct.peers == NULL) {
goto err_free;
}
ep_params.field_mask = UCT_EP_PARAM_FIELD_IFACE;
ep_params.iface = perf->uct.iface;
if (iface_attr.cap.flags & UCT_IFACE_FLAG_CONNECT_TO_EP) {
for (i = 0; i < group_size; ++i) {
if (i == group_index) {
continue;
}
status = uct_ep_create(&ep_params, &perf->uct.peers[i].ep);
if (status != UCS_OK) {
ucs_error("Failed to uct_ep_create: %s", ucs_status_string(status));
goto err_destroy_eps;
}
status = uct_ep_get_address(perf->uct.peers[i].ep, ep_addr);
if (status != UCS_OK) {
ucs_error("Failed to uct_ep_get_address: %s", ucs_status_string(status));
goto err_destroy_eps;
}
}
} else if (iface_attr.cap.flags & UCT_IFACE_FLAG_CONNECT_TO_IFACE) {
ep_params.field_mask |= UCT_EP_PARAM_FIELD_DEV_ADDR |
UCT_EP_PARAM_FIELD_IFACE_ADDR;
}
vec[0].iov_base = &info;
vec[0].iov_len = sizeof(info);
vec[1].iov_base = buffer;
vec[1].iov_len = info.rkey_size + info.uct.dev_addr_len +
info.uct.iface_addr_len + info.uct.ep_addr_len;
rte_call(perf, post_vec, vec, 2, &req);
rte_call(perf, exchange_vec, req);
for (i = 0; i < group_size; ++i) {
if (i == group_index) {
continue;
}
rte_call(perf, recv, i, buffer, buffer_size, req);
remote_info = buffer;
rkey_buffer = remote_info + 1;
dev_addr = (void*)rkey_buffer + remote_info->rkey_size;
iface_addr = (void*)dev_addr + remote_info->uct.dev_addr_len;
ep_addr = (void*)iface_addr + remote_info->uct.iface_addr_len;
perf->uct.peers[i].remote_addr = remote_info->recv_buffer;
if (!uct_iface_is_reachable(perf->uct.iface, dev_addr,
remote_info->uct.iface_addr_len ?
iface_addr : NULL)) {
ucs_error("Destination is unreachable");
status = UCS_ERR_UNREACHABLE;
goto err_destroy_eps;
}
if (remote_info->rkey_size > 0) {
status = uct_rkey_unpack(rkey_buffer, &perf->uct.peers[i].rkey);
if (status != UCS_OK) {
ucs_error("Failed to uct_rkey_unpack: %s", ucs_status_string(status));
goto err_destroy_eps;
}
} else {
perf->uct.peers[i].rkey.handle = NULL;
perf->uct.peers[i].rkey.type = NULL;
perf->uct.peers[i].rkey.rkey = UCT_INVALID_RKEY;
}
if (iface_attr.cap.flags & UCT_IFACE_FLAG_CONNECT_TO_EP) {
status = uct_ep_connect_to_ep(perf->uct.peers[i].ep, dev_addr, ep_addr);
} else if (iface_attr.cap.flags & UCT_IFACE_FLAG_CONNECT_TO_IFACE) {
ep_params.dev_addr = dev_addr;
ep_params.iface_addr = iface_addr;
status = uct_ep_create(&ep_params, &perf->uct.peers[i].ep);
} else {
status = UCS_ERR_UNSUPPORTED;
}
if (status != UCS_OK) {
ucs_error("Failed to connect endpoint: %s", ucs_status_string(status));
goto err_destroy_eps;
}
}
uct_perf_iface_flush_b(perf);
free(buffer);
uct_perf_barrier(perf);
return UCS_OK;
err_destroy_eps:
for (i = 0; i < group_size; ++i) {
if (perf->uct.peers[i].rkey.type != NULL) {
uct_rkey_release(&perf->uct.peers[i].rkey);
}
if (perf->uct.peers[i].ep != NULL) {
uct_ep_destroy(perf->uct.peers[i].ep);
}
}
free(perf->uct.peers);
err_free:
free(buffer);
err:
return status;
}
static void uct_perf_test_cleanup_endpoints(ucx_perf_context_t *perf)
{
unsigned group_size, group_index, i;
uct_perf_barrier(perf);
uct_iface_set_am_handler(perf->uct.iface, UCT_PERF_TEST_AM_ID, NULL, NULL, 0);
group_size = rte_call(perf, group_size);
group_index = rte_call(perf, group_index);
for (i = 0; i < group_size; ++i) {
if (i != group_index) {
if (perf->uct.peers[i].rkey.rkey != UCT_INVALID_RKEY) {
uct_rkey_release(&perf->uct.peers[i].rkey);
}
if (perf->uct.peers[i].ep) {
uct_ep_destroy(perf->uct.peers[i].ep);
}
}
}
free(perf->uct.peers);
}
static ucs_status_t ucp_perf_test_fill_params(ucx_perf_params_t *params,
ucp_params_t *ucp_params)
{
ucs_status_t status, message_size;
message_size = ucx_perf_get_message_size(params);
switch (params->command) {
case UCX_PERF_CMD_PUT:
case UCX_PERF_CMD_GET:
ucp_params->features |= UCP_FEATURE_RMA;
break;
case UCX_PERF_CMD_ADD:
case UCX_PERF_CMD_FADD:
case UCX_PERF_CMD_SWAP:
case UCX_PERF_CMD_CSWAP:
if (message_size == sizeof(uint32_t)) {
ucp_params->features |= UCP_FEATURE_AMO32;
} else if (message_size == sizeof(uint64_t)) {
ucp_params->features |= UCP_FEATURE_AMO64;
} else {
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("Atomic size should be either 32 or 64 bit");
}
return UCS_ERR_INVALID_PARAM;
}
break;
case UCX_PERF_CMD_TAG:
case UCX_PERF_CMD_TAG_SYNC:
ucp_params->features |= UCP_FEATURE_TAG;
ucp_params->field_mask |= UCP_PARAM_FIELD_REQUEST_SIZE;
ucp_params->request_size = sizeof(ucp_perf_request_t);
break;
case UCX_PERF_CMD_STREAM:
ucp_params->features |= UCP_FEATURE_STREAM;
ucp_params->field_mask |= UCP_PARAM_FIELD_REQUEST_SIZE;
ucp_params->request_size = sizeof(ucp_perf_request_t);
break;
default:
if (params->flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("Invalid test command");
}
return UCS_ERR_INVALID_PARAM;
}
status = ucx_perf_test_check_params(params);
if (status != UCS_OK) {
return status;
}
return UCS_OK;
}
static ucs_status_t ucp_perf_test_alloc_iov_mem(ucp_perf_datatype_t datatype,
size_t iovcnt, unsigned thread_count,
ucp_dt_iov_t **iov_p)
{
ucp_dt_iov_t *iov;
if (UCP_PERF_DATATYPE_IOV == datatype) {
iov = malloc(sizeof(*iov) * iovcnt * thread_count);
if (NULL == iov) {
ucs_error("Failed allocate IOV buffer with iovcnt=%lu", iovcnt);
return UCS_ERR_NO_MEMORY;
}
*iov_p = iov;
}
return UCS_OK;
}
static ucs_status_t
ucp_perf_test_alloc_host(ucx_perf_context_t *perf, size_t length,
void **address_p, ucp_mem_h *memh, int non_blk_flag)
{
ucp_mem_map_params_t mem_map_params;
ucp_mem_attr_t mem_attr;
ucs_status_t status;
mem_map_params.field_mask = UCP_MEM_MAP_PARAM_FIELD_ADDRESS |
UCP_MEM_MAP_PARAM_FIELD_LENGTH |
UCP_MEM_MAP_PARAM_FIELD_FLAGS;
mem_map_params.address = *address_p;
mem_map_params.length = length;
mem_map_params.flags = UCP_MEM_MAP_ALLOCATE;
if (perf->params.flags & UCX_PERF_TEST_FLAG_MAP_NONBLOCK) {
mem_map_params.flags |= non_blk_flag;
}
status = ucp_mem_map(perf->ucp.context, &mem_map_params, memh);
if (status != UCS_OK) {
goto err;
}
mem_attr.field_mask = UCP_MEM_ATTR_FIELD_ADDRESS;
status = ucp_mem_query(*memh, &mem_attr);
if (status != UCS_OK) {
goto err;
}
*address_p = mem_attr.address;
return UCS_OK;
err:
return status;
}
static void ucp_perf_test_free_host(ucx_perf_context_t *perf, void *address,
ucp_mem_h memh)
{
ucs_status_t status;
status = ucp_mem_unmap(perf->ucp.context, memh);
if (status != UCS_OK) {
ucs_warn("ucp_mem_unmap() failed: %s", ucs_status_string(status));
}
}
static ucs_status_t ucp_perf_test_alloc_mem(ucx_perf_context_t *perf)
{
ucx_perf_params_t *params = &perf->params;
ucs_status_t status;
size_t buffer_size;
if (params->iov_stride) {
buffer_size = params->msg_size_cnt * params->iov_stride;
} else {
buffer_size = ucx_perf_get_message_size(params);
}
/* Allocate send buffer memory */
perf->send_buffer = NULL;
status = perf->allocator->ucp_alloc(perf, buffer_size * params->thread_count,
&perf->send_buffer, &perf->ucp.send_memh,
UCP_MEM_MAP_NONBLOCK);
if (status != UCS_OK) {
goto err;
}
/* Allocate receive buffer memory */
perf->recv_buffer = NULL;
status = perf->allocator->ucp_alloc(perf, buffer_size * params->thread_count,
&perf->recv_buffer, &perf->ucp.recv_memh,
0);
if (status != UCS_OK) {
goto err_free_send_buffer;
}
/* Allocate IOV datatype memory */
perf->ucp.send_iov = NULL;
status = ucp_perf_test_alloc_iov_mem(params->ucp.send_datatype,
perf->params.msg_size_cnt,
params->thread_count,
&perf->ucp.send_iov);
if (UCS_OK != status) {
goto err_free_buffers;
}
perf->ucp.recv_iov = NULL;
status = ucp_perf_test_alloc_iov_mem(params->ucp.recv_datatype,
perf->params.msg_size_cnt,
params->thread_count,
&perf->ucp.recv_iov);
if (UCS_OK != status) {
goto err_free_send_iov_buffers;
}
return UCS_OK;
err_free_send_iov_buffers:
free(perf->ucp.send_iov);
err_free_buffers:
perf->allocator->ucp_free(perf, perf->recv_buffer, perf->ucp.recv_memh);
err_free_send_buffer:
perf->allocator->ucp_free(perf, perf->send_buffer, perf->ucp.send_memh);
err:
return UCS_ERR_NO_MEMORY;
}
static void ucp_perf_test_free_mem(ucx_perf_context_t *perf)
{
free(perf->ucp.recv_iov);
free(perf->ucp.send_iov);
perf->allocator->ucp_free(perf, perf->recv_buffer, perf->ucp.recv_memh);
perf->allocator->ucp_free(perf, perf->send_buffer, perf->ucp.send_memh);
}
static void ucp_perf_test_destroy_eps(ucx_perf_context_t* perf,
unsigned group_size)
{
ucs_status_ptr_t *reqs;
ucp_tag_recv_info_t info;
ucs_status_t status;
unsigned i;
reqs = calloc(sizeof(*reqs), group_size);
for (i = 0; i < group_size; ++i) {
if (perf->ucp.peers[i].rkey != NULL) {
ucp_rkey_destroy(perf->ucp.peers[i].rkey);
}
if (perf->ucp.peers[i].ep != NULL) {
reqs[i] = ucp_disconnect_nb(perf->ucp.peers[i].ep);
}
}
for (i = 0; i < group_size; ++i) {
if (!UCS_PTR_IS_PTR(reqs[i])) {
continue;
}
do {
ucp_worker_progress(perf->ucp.worker);
status = ucp_request_test(reqs[i], &info);
} while (status == UCS_INPROGRESS);
ucp_request_release(reqs[i]);
}
free(reqs);
free(perf->ucp.peers);
}
static ucs_status_t ucp_perf_test_exchange_status(ucx_perf_context_t *perf,
ucs_status_t status)
{
unsigned group_size = rte_call(perf, group_size);
ucs_status_t collective_status = status;
struct iovec vec;
void *req = NULL;
unsigned i;
vec.iov_base = &status;
vec.iov_len = sizeof(status);
rte_call(perf, post_vec, &vec, 1, &req);
rte_call(perf, exchange_vec, req);
for (i = 0; i < group_size; ++i) {
rte_call(perf, recv, i, &status, sizeof(status), req);
if (status != UCS_OK) {
collective_status = status;
}
}
return collective_status;
}
static ucs_status_t ucp_perf_test_setup_endpoints(ucx_perf_context_t *perf,
uint64_t features)
{
const size_t buffer_size = 2048;
ucx_perf_ep_info_t info, *remote_info;
unsigned group_size, i, group_index;
ucp_address_t *address;
size_t address_length = 0;
ucp_ep_params_t ep_params;
ucs_status_t status;
struct iovec vec[3];
void *rkey_buffer;
void *req = NULL;
void *buffer;
group_size = rte_call(perf, group_size);
group_index = rte_call(perf, group_index);
status = ucp_worker_get_address(perf->ucp.worker, &address, &address_length);
if (status != UCS_OK) {
if (perf->params.flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("ucp_worker_get_address() failed: %s", ucs_status_string(status));
}
goto err;
}
info.ucp.addr_len = address_length;
info.recv_buffer = (uintptr_t)perf->recv_buffer;
vec[0].iov_base = &info;
vec[0].iov_len = sizeof(info);
vec[1].iov_base = address;
vec[1].iov_len = address_length;
if (features & (UCP_FEATURE_RMA|UCP_FEATURE_AMO32|UCP_FEATURE_AMO64)) {
status = ucp_rkey_pack(perf->ucp.context, perf->ucp.recv_memh,
&rkey_buffer, &info.rkey_size);
if (status != UCS_OK) {
if (perf->params.flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("ucp_rkey_pack() failed: %s", ucs_status_string(status));
}
ucp_worker_release_address(perf->ucp.worker, address);
goto err;
}
vec[2].iov_base = rkey_buffer;
vec[2].iov_len = info.rkey_size;
rte_call(perf, post_vec, vec, 3, &req);
ucp_rkey_buffer_release(rkey_buffer);
} else {
info.rkey_size = 0;
rte_call(perf, post_vec, vec, 2, &req);
}
ucp_worker_release_address(perf->ucp.worker, address);
rte_call(perf, exchange_vec, req);
perf->ucp.peers = calloc(group_size, sizeof(*perf->uct.peers));
if (perf->ucp.peers == NULL) {
goto err;
}
buffer = malloc(buffer_size);
if (buffer == NULL) {
ucs_error("Failed to allocate RTE receive buffer");
status = UCS_ERR_NO_MEMORY;
goto err_destroy_eps;
}
for (i = 0; i < group_size; ++i) {
if (i == group_index) {
continue;
}
rte_call(perf, recv, i, buffer, buffer_size, req);
remote_info = buffer;
address = (void*)(remote_info + 1);
rkey_buffer = (void*)address + remote_info->ucp.addr_len;
perf->ucp.peers[i].remote_addr = remote_info->recv_buffer;
ep_params.field_mask = UCP_EP_PARAM_FIELD_REMOTE_ADDRESS;
ep_params.address = address;
status = ucp_ep_create(perf->ucp.worker, &ep_params, &perf->ucp.peers[i].ep);
if (status != UCS_OK) {
if (perf->params.flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("ucp_ep_create() failed: %s", ucs_status_string(status));
}
goto err_free_buffer;
}
if (remote_info->rkey_size > 0) {
status = ucp_ep_rkey_unpack(perf->ucp.peers[i].ep, rkey_buffer,
&perf->ucp.peers[i].rkey);
if (status != UCS_OK) {
if (perf->params.flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_fatal("ucp_rkey_unpack() failed: %s", ucs_status_string(status));
}
goto err_free_buffer;
}
} else {
perf->ucp.peers[i].rkey = NULL;
}
}
free(buffer);
status = ucp_perf_test_exchange_status(perf, UCS_OK);
if (status != UCS_OK) {
ucp_perf_test_destroy_eps(perf, group_size);
}
/* force wireup completion */
status = ucp_worker_flush(perf->ucp.worker);
if (status != UCS_OK) {
ucs_warn("ucp_worker_flush() failed: %s", ucs_status_string(status));
}
return status;
err_free_buffer:
free(buffer);
err_destroy_eps:
ucp_perf_test_destroy_eps(perf, group_size);
err:
(void)ucp_perf_test_exchange_status(perf, status);
return status;
}
static void ucp_perf_test_cleanup_endpoints(ucx_perf_context_t *perf)
{
unsigned group_size;
ucp_perf_barrier(perf);
group_size = rte_call(perf, group_size);
ucp_perf_test_destroy_eps(perf, group_size);
}
static void ucx_perf_set_warmup(ucx_perf_context_t* perf, ucx_perf_params_t* params)
{
perf->max_iter = ucs_min(params->warmup_iter, params->max_iter / 10);
perf->report_interval = -1;
}
static ucs_status_t uct_perf_create_md(ucx_perf_context_t *perf)
{
uct_md_resource_desc_t *md_resources;
uct_tl_resource_desc_t *tl_resources;
unsigned i, num_md_resources;
unsigned j, num_tl_resources;
ucs_status_t status;
uct_md_h md;
uct_md_config_t *md_config;
status = uct_query_md_resources(&md_resources, &num_md_resources);
if (status != UCS_OK) {
goto out;
}
for (i = 0; i < num_md_resources; ++i) {
status = uct_md_config_read(md_resources[i].md_name, NULL, NULL, &md_config);
if (status != UCS_OK) {
goto out_release_md_resources;
}
status = uct_md_open(md_resources[i].md_name, md_config, &md);
uct_config_release(md_config);
if (status != UCS_OK) {
goto out_release_md_resources;
}
status = uct_md_query_tl_resources(md, &tl_resources, &num_tl_resources);
if (status != UCS_OK) {
uct_md_close(md);
goto out_release_md_resources;
}
for (j = 0; j < num_tl_resources; ++j) {
if (!strcmp(perf->params.uct.tl_name, tl_resources[j].tl_name) &&
!strcmp(perf->params.uct.dev_name, tl_resources[j].dev_name))
{
uct_release_tl_resource_list(tl_resources);
perf->uct.md = md;
status = UCS_OK;
goto out_release_md_resources;
}
}
uct_md_close(md);
uct_release_tl_resource_list(tl_resources);
}
ucs_error("Cannot use transport %s on device %s", perf->params.uct.tl_name,
perf->params.uct.dev_name);
status = UCS_ERR_NO_DEVICE;
out_release_md_resources:
uct_release_md_resource_list(md_resources);
out:
return status;
}
void uct_perf_barrier(ucx_perf_context_t *perf)
{
rte_call(perf, barrier, (void(*)(void*))uct_worker_progress,
(void*)perf->uct.worker);
}
void ucp_perf_barrier(ucx_perf_context_t *perf)
{
rte_call(perf, barrier, (void(*)(void*))ucp_worker_progress,
(void*)perf->ucp.worker);
}
static ucs_status_t uct_perf_setup(ucx_perf_context_t *perf)
{
ucx_perf_params_t *params = &perf->params;
uct_iface_config_t *iface_config;
ucs_status_t status;
uct_iface_params_t iface_params = {
.field_mask = UCT_IFACE_PARAM_FIELD_OPEN_MODE |
UCT_IFACE_PARAM_FIELD_STATS_ROOT |
UCT_IFACE_PARAM_FIELD_RX_HEADROOM |
UCT_IFACE_PARAM_FIELD_CPU_MASK,
.open_mode = UCT_IFACE_OPEN_MODE_DEVICE,
.mode.device.tl_name = params->uct.tl_name,
.mode.device.dev_name = params->uct.dev_name,
.stats_root = ucs_stats_get_root(),
.rx_headroom = 0
};
UCS_CPU_ZERO(&iface_params.cpu_mask);
status = ucs_async_context_init(&perf->uct.async, params->async_mode);
if (status != UCS_OK) {
goto out;
}
status = uct_worker_create(&perf->uct.async, params->thread_mode,
&perf->uct.worker);
if (status != UCS_OK) {
goto out_cleanup_async;
}
status = uct_perf_create_md(perf);
if (status != UCS_OK) {
goto out_destroy_worker;
}
status = uct_md_iface_config_read(perf->uct.md, params->uct.tl_name, NULL,
NULL, &iface_config);
if (status != UCS_OK) {
goto out_destroy_md;
}
status = uct_iface_open(perf->uct.md, perf->uct.worker, &iface_params,
iface_config, &perf->uct.iface);
uct_config_release(iface_config);
if (status != UCS_OK) {
ucs_error("Failed to open iface: %s", ucs_status_string(status));
goto out_destroy_md;
}
status = uct_perf_test_check_capabilities(params, perf->uct.iface);
/* sync status across all processes */
status = ucp_perf_test_exchange_status(perf, status);
if (status != UCS_OK) {
goto out_iface_close;
}
status = uct_perf_test_alloc_mem(perf);
if (status != UCS_OK) {
goto out_iface_close;
}
status = uct_perf_test_setup_endpoints(perf);
if (status != UCS_OK) {
ucs_error("Failed to setup endpoints: %s", ucs_status_string(status));
goto out_free_mem;
}
uct_iface_progress_enable(perf->uct.iface,
UCT_PROGRESS_SEND | UCT_PROGRESS_RECV);
return UCS_OK;
out_free_mem:
uct_perf_test_free_mem(perf);
out_iface_close:
uct_iface_close(perf->uct.iface);
out_destroy_md:
uct_md_close(perf->uct.md);
out_destroy_worker:
uct_worker_destroy(perf->uct.worker);
out_cleanup_async:
ucs_async_context_cleanup(&perf->uct.async);
out:
return status;
}
static void uct_perf_cleanup(ucx_perf_context_t *perf)
{
uct_perf_test_cleanup_endpoints(perf);
uct_perf_test_free_mem(perf);
uct_iface_close(perf->uct.iface);
uct_md_close(perf->uct.md);
uct_worker_destroy(perf->uct.worker);
ucs_async_context_cleanup(&perf->uct.async);
}
static ucs_status_t ucp_perf_setup(ucx_perf_context_t *perf)
{
ucp_params_t ucp_params;
ucp_worker_params_t worker_params;
ucp_config_t *config;
ucs_status_t status;
ucp_params.field_mask = UCP_PARAM_FIELD_FEATURES;
ucp_params.features = 0;
status = ucp_perf_test_fill_params(&perf->params, &ucp_params);
if (status != UCS_OK) {
goto err;
}
status = ucp_config_read(NULL, NULL, &config);
if (status != UCS_OK) {
goto err;
}
status = ucp_init(&ucp_params, config, &perf->ucp.context);
ucp_config_release(config);
if (status != UCS_OK) {
goto err;
}
worker_params.field_mask = UCP_WORKER_PARAM_FIELD_THREAD_MODE;
worker_params.thread_mode = perf->params.thread_mode;
status = ucp_worker_create(perf->ucp.context, &worker_params,
&perf->ucp.worker);
if (status != UCS_OK) {
goto err_cleanup;
}
status = ucp_perf_test_alloc_mem(perf);
if (status != UCS_OK) {
ucs_warn("ucp test failed to alocate memory");
goto err_destroy_worker;
}
status = ucp_perf_test_setup_endpoints(perf, ucp_params.features);
if (status != UCS_OK) {
if (perf->params.flags & UCX_PERF_TEST_FLAG_VERBOSE) {
ucs_error("Failed to setup endpoints: %s", ucs_status_string(status));
}
goto err_free_mem;
}
return UCS_OK;
err_free_mem:
ucp_perf_test_free_mem(perf);
err_destroy_worker:
ucp_worker_destroy(perf->ucp.worker);
err_cleanup:
ucp_cleanup(perf->ucp.context);
err:
return status;
}
static void ucp_perf_cleanup(ucx_perf_context_t *perf)
{
ucp_perf_test_cleanup_endpoints(perf);
ucp_perf_barrier(perf);
ucp_perf_test_free_mem(perf);
ucp_worker_destroy(perf->ucp.worker);
ucp_cleanup(perf->ucp.context);
}
static struct {
ucs_status_t (*setup)(ucx_perf_context_t *perf);
void (*cleanup)(ucx_perf_context_t *perf);
ucs_status_t (*run)(ucx_perf_context_t *perf);
void (*barrier)(ucx_perf_context_t *perf);
} ucx_perf_funcs[] = {
[UCX_PERF_API_UCT] = {uct_perf_setup, uct_perf_cleanup,
uct_perf_test_dispatch, uct_perf_barrier},
[UCX_PERF_API_UCP] = {ucp_perf_setup, ucp_perf_cleanup,
ucp_perf_test_dispatch, ucp_perf_barrier}
};
static int ucx_perf_thread_spawn(ucx_perf_context_t *perf,
ucx_perf_result_t* result);
ucs_status_t ucx_perf_run(ucx_perf_params_t *params, ucx_perf_result_t *result)
{
ucx_perf_context_t *perf;
ucs_status_t status;
ucx_perf_global_init();
if (params->command == UCX_PERF_CMD_LAST) {
ucs_error("Test is not selected");
status = UCS_ERR_INVALID_PARAM;
goto out;
}
if ((params->api != UCX_PERF_API_UCT) && (params->api != UCX_PERF_API_UCP)) {
ucs_error("Invalid test API parameter (should be UCT or UCP)");
status = UCS_ERR_INVALID_PARAM;
goto out;
}
perf = malloc(sizeof(*perf));
if (perf == NULL) {
status = UCS_ERR_NO_MEMORY;
goto out;
}
ucx_perf_test_reset(perf, params);
if (perf->allocator == NULL) {
ucs_error("Unsupported memory type");
status = UCS_ERR_UNSUPPORTED;
goto out_free;
}
status = perf->allocator->init(perf);
if (status != UCS_OK) {
goto out_free;
}
status = ucx_perf_funcs[params->api].setup(perf);
if (status != UCS_OK) {
goto out_free;
}
if (UCS_THREAD_MODE_SINGLE == params->thread_mode) {
if (params->warmup_iter > 0) {
ucx_perf_set_warmup(perf, params);
status = ucx_perf_funcs[params->api].run(perf);
if (status != UCS_OK) {
goto out_cleanup;
}
ucx_perf_funcs[params->api].barrier(perf);
ucx_perf_test_reset(perf, params);
}
/* Run test */
status = ucx_perf_funcs[params->api].run(perf);
ucx_perf_funcs[params->api].barrier(perf);
if (status == UCS_OK) {
ucx_perf_calc_result(perf, result);
rte_call(perf, report, result, perf->params.report_arg, 1);
}
} else {
status = ucx_perf_thread_spawn(perf, result);
}
out_cleanup:
ucx_perf_funcs[params->api].cleanup(perf);
out_free:
free(perf);
out:
return status;
}
#if _OPENMP
/* multiple threads sharing the same worker/iface */
#include <omp.h>
typedef struct {
pthread_t pt;
int tid;
int ntid;
ucs_status_t* statuses;
ucx_perf_context_t perf;
ucx_perf_result_t result;
} ucx_perf_thread_context_t;
static void* ucx_perf_thread_run_test(void* arg)
{
ucx_perf_thread_context_t* tctx = (ucx_perf_thread_context_t*) arg;
ucx_perf_result_t* result = &tctx->result;
ucx_perf_context_t* perf = &tctx->perf;
ucx_perf_params_t* params = &perf->params;
ucs_status_t* statuses = tctx->statuses;
int tid = tctx->tid;
int i;
if (params->warmup_iter > 0) {
ucx_perf_set_warmup(perf, params);
statuses[tid] = ucx_perf_funcs[params->api].run(perf);
ucx_perf_funcs[params->api].barrier(perf);
for (i = 0; i < tctx->ntid; i++) {
if (UCS_OK != statuses[i]) {
goto out;
}
}
#pragma omp master
ucx_perf_test_reset(perf, params);
}
/* Run test */
#pragma omp barrier
statuses[tid] = ucx_perf_funcs[params->api].run(perf);
ucx_perf_funcs[params->api].barrier(perf);
for (i = 0; i < tctx->ntid; i++) {
if (UCS_OK != statuses[i]) {
goto out;
}
}
#pragma omp master
{
/* Assuming all threads are fairly treated, reporting only tid==0
TODO: aggregate reports */
ucx_perf_calc_result(perf, result);
rte_call(perf, report, result, perf->params.report_arg, 1);
}
out:
return &statuses[tid];
}
static int ucx_perf_thread_spawn(ucx_perf_context_t *perf,
ucx_perf_result_t* result)
{
ucx_perf_thread_context_t* tctx;
ucs_status_t* statuses;
size_t message_size;
ucs_status_t status;
int ti, nti;
message_size = ucx_perf_get_message_size(&perf->params);
omp_set_num_threads(perf->params.thread_count);
nti = perf->params.thread_count;
tctx = calloc(nti, sizeof(ucx_perf_thread_context_t));
statuses = calloc(nti, sizeof(ucs_status_t));
if ((tctx == NULL) || (statuses == NULL)) {
status = UCS_ERR_NO_MEMORY;
goto out_free;
}
#pragma omp parallel private(ti)
{
ti = omp_get_thread_num();
tctx[ti].tid = ti;
tctx[ti].ntid = nti;
tctx[ti].statuses = statuses;
tctx[ti].perf = *perf;
/* Doctor the src and dst buffers to make them thread specific */
tctx[ti].perf.send_buffer += ti * message_size;
tctx[ti].perf.recv_buffer += ti * message_size;
tctx[ti].perf.offset = ti * message_size;
ucx_perf_thread_run_test((void*)&tctx[ti]);
}
status = UCS_OK;
for (ti = 0; ti < nti; ti++) {
if (UCS_OK != statuses[ti]) {
ucs_error("Thread %d failed to run test: %s", tctx[ti].tid,
ucs_status_string(statuses[ti]));
status = statuses[ti];
}
}
out_free:
free(statuses);
free(tctx);
return status;
}
#else
static int ucx_perf_thread_spawn(ucx_perf_context_t *perf,
ucx_perf_result_t* result) {
ucs_error("Invalid test parameter (thread mode requested without OpenMP capabilities)");
return UCS_ERR_INVALID_PARAM;
}
#endif /* _OPENMP */
void ucx_perf_global_init()
{
static ucx_perf_allocator_t host_allocator = {
.init = ucs_empty_function_return_success,
.ucp_alloc = ucp_perf_test_alloc_host,
.ucp_free = ucp_perf_test_free_host,
.memset = memset
};
UCS_MODULE_FRAMEWORK_DECLARE(ucx_perftest);
ucx_perf_mem_type_allocators[UCT_MD_MEM_TYPE_HOST] = &host_allocator;
UCS_MODULE_FRAMEWORK_LOAD(ucx_perftest, 0);
}
|
DiracMatrix.h | //////////////////////////////////////////////////////////////////////////////////////
// This file is distributed under the University of Illinois/NCSA Open Source License.
// See LICENSE file in top directory for details.
//
// Copyright (c) 2019 QMCPACK developers.
//
// File developed by: Ye Luo, yeluo@anl.gov, Argonne National Laboratory
//
// File created by: Jeongnim Kim, jeongnim.kim@intel.com, Intel Corp.
//////////////////////////////////////////////////////////////////////////////////////
#ifndef QMCPLUSPLUS_DIRAC_MATRIX_H
#define QMCPLUSPLUS_DIRAC_MATRIX_H
#include "CPU/Blasf.h"
#include "CPU/BlasThreadingEnv.h"
#include "OhmmsPETE/OhmmsMatrix.h"
#include "type_traits/scalar_traits.h"
#include "Message/OpenMP.h"
#include "CPU/SIMD/simd.hpp"
namespace qmcplusplus
{
inline int Xgetrf(int n, int m, float* restrict a, int lda, int* restrict piv)
{
int status;
sgetrf(n, m, a, lda, piv, status);
return status;
}
inline int Xgetri(int n, float* restrict a, int lda, int* restrict piv, float* restrict work, int& lwork)
{
int status;
sgetri(n, a, lda, piv, work, lwork, status);
return status;
}
inline int Xgetrf(int n, int m, std::complex<float>* restrict a, int lda, int* restrict piv)
{
int status;
cgetrf(n, m, a, lda, piv, status);
return status;
}
/** inversion of a float matrix after lu factorization*/
inline int Xgetri(int n,
std::complex<float>* restrict a,
int lda,
int* restrict piv,
std::complex<float>* restrict work,
int& lwork)
{
int status;
cgetri(n, a, lda, piv, work, lwork, status);
return status;
}
inline int Xgetrf(int n, int m, double* restrict a, int lda, int* restrict piv)
{
int status;
dgetrf(n, m, a, lda, piv, status);
return status;
}
inline int Xgetri(int n, double* restrict a, int lda, int* restrict piv, double* restrict work, int& lwork)
{
int status;
dgetri(n, a, lda, piv, work, lwork, status);
return status;
}
inline int Xgetrf(int n, int m, std::complex<double>* restrict a, int lda, int* restrict piv)
{
int status;
zgetrf(n, m, a, lda, piv, status);
return status;
}
/** inversion of a std::complex<double> matrix after lu factorization*/
inline int Xgetri(int n,
std::complex<double>* restrict a,
int lda,
int* restrict piv,
std::complex<double>* restrict work,
int& lwork)
{
int status;
zgetri(n, a, lda, piv, work, lwork, status);
return status;
}
template<typename TIN, typename TOUT>
inline void TansposeSquare(const TIN* restrict in, TOUT* restrict out, size_t n, size_t lda)
{
#pragma omp simd
for (size_t i = 0; i < n; ++i)
for (size_t j = 0; j < n; ++j)
out[i * lda + j] = in[i + j * lda];
}
template<typename T, typename T_FP>
inline void computeLogDet(const T* restrict diag, int n, const int* restrict pivot, std::complex<T_FP>& logdet)
{
logdet = std::complex<T_FP>();
for (size_t i = 0; i < n; i++)
logdet += std::log(std::complex<T_FP>((pivot[i] == i + 1) ? diag[i] : -diag[i]));
}
/** helper class to compute matrix inversion and the log value of determinant
* @tparam T_FP the datatype used in the actual computation of matrix inversion
*/
template<typename T_FP>
class DiracMatrix
{
typedef typename scalar_traits<T_FP>::real_type real_type_fp;
aligned_vector<T_FP> m_work;
aligned_vector<int> m_pivot;
int Lwork;
/// scratch space used for mixed precision
Matrix<T_FP> psiM_fp;
/// LU diagonal elements
aligned_vector<T_FP> LU_diag;
/// reset internal work space
inline void reset(T_FP* invMat_ptr, const int lda)
{
m_pivot.resize(lda);
Lwork = -1;
T_FP tmp;
real_type_fp lw;
Xgetri(lda, invMat_ptr, lda, m_pivot.data(), &tmp, Lwork);
convert(tmp, lw);
Lwork = static_cast<int>(lw);
m_work.resize(Lwork);
LU_diag.resize(lda);
}
/** compute the inverse of invMat (in place) and the log value of determinant
* @tparam TREAL real type
* @param n invMat is n x n matrix
* @param lda the first dimension of invMat
* @param LogDet log determinant value of invMat before inversion
*/
template<typename TREAL>
inline void computeInvertAndLog(T_FP* invMat, const int n, const int lda, std::complex<TREAL>& LogDet)
{
BlasThreadingEnv knob(getNextLevelNumThreads());
if (Lwork < lda)
reset(invMat, lda);
int status = Xgetrf(n, n, invMat, lda, m_pivot.data());
if (status != 0)
{
std::ostringstream msg;
msg << "Xgetrf failed with error " << status << std::endl;
throw std::runtime_error(msg.str());
}
for (int i = 0; i < n; i++)
LU_diag[i] = invMat[i * lda + i];
computeLogDet(LU_diag.data(), n, m_pivot.data(), LogDet);
status = Xgetri(n, invMat, lda, m_pivot.data(), m_work.data(), Lwork);
if (status != 0)
{
std::ostringstream msg;
msg << "Xgetri failed with error " << status << std::endl;
throw std::runtime_error(msg.str());
}
}
public:
DiracMatrix() : Lwork(0) {}
/** compute the inverse of the transpose of matrix A and its determinant value in log
* when T_FP and TMAT are the same
* @tparam TMAT matrix value type
* @tparam TREAL real type
*/
template<typename TMAT, typename TREAL>
inline std::enable_if_t<std::is_same<T_FP, TMAT>::value> invert_transpose(const Matrix<TMAT>& amat,
Matrix<TMAT>& invMat,
std::complex<TREAL>& LogDet)
{
const int n = invMat.rows();
const int lda = invMat.cols();
simd::transpose(amat.data(), n, amat.cols(), invMat.data(), n, lda);
computeInvertAndLog(invMat.data(), n, lda, LogDet);
}
/** compute the inverse of the transpose of matrix A and its determinant value in log
* when T_FP and TMAT are not the same and need scratch space psiM_fp
* @tparam TMAT matrix value type
* @tparam TREAL real type
*/
template<typename TMAT, typename TREAL>
inline std::enable_if_t<!std::is_same<T_FP, TMAT>::value> invert_transpose(const Matrix<TMAT>& amat,
Matrix<TMAT>& invMat,
std::complex<TREAL>& LogDet)
{
const int n = invMat.rows();
const int lda = invMat.cols();
psiM_fp.resize(n, lda);
simd::transpose(amat.data(), n, amat.cols(), psiM_fp.data(), n, lda);
computeInvertAndLog(psiM_fp.data(), n, lda, LogDet);
invMat = psiM_fp;
}
};
} // namespace qmcplusplus
#endif // QMCPLUSPLUS_DIRAC_MATRIX_H
|
FRICP.h | #ifndef FRICP_H
#define FRICP_H
#include "ICP.h"
#include <AndersonAcceleration.h>
#include <eigen/unsupported/Eigen/MatrixFunctions>
#include "median.h"
#include <limits>
#define SAME_THRESHOLD 1e-6
#include <type_traits>
template<class T>
typename std::enable_if<!std::numeric_limits<T>::is_integer, bool>::type
almost_equal(T x, T y, int ulp)
{
// the machine epsilon has to be scaled to the magnitude of the values used
// and multiplied by the desired precision in ULPs (units in the last place)
return std::fabs(x-y) <= std::numeric_limits<T>::epsilon() * std::fabs(x+y) * ulp
// unless the result is subnormal
|| std::fabs(x-y) < std::numeric_limits<T>::min();
}
template<int N>
class FRICP
{
public:
typedef double Scalar;
typedef Eigen::Matrix<Scalar, N, Eigen::Dynamic> MatrixNX;
typedef Eigen::Matrix<Scalar, N, N> MatrixNN;
typedef Eigen::Matrix<Scalar, N+1, N+1> AffineMatrixN;
typedef Eigen::Transform<Scalar, N, Eigen::Affine> AffineNd;
typedef Eigen::Matrix<Scalar, N, 1> VectorN;
typedef nanoflann::KDTreeAdaptor<MatrixNX, N, nanoflann::metric_L2_Simple> KDtree;
typedef Eigen::Matrix<Scalar, 6, 1> Vector6;
double test_total_construct_time=.0;
double test_total_solve_time=.0;
int test_total_iters=0;
FRICP(){};
~FRICP(){};
private:
AffineMatrixN LogMatrix(const AffineMatrixN& T)
{
Eigen::RealSchur<AffineMatrixN> schur(T);
AffineMatrixN U = schur.matrixU();
AffineMatrixN R = schur.matrixT();
std::vector<bool> selected(N, true);
MatrixNN mat_B = MatrixNN::Zero(N, N);
MatrixNN mat_V = MatrixNN::Identity(N, N);
for (int i = 0; i < N; i++)
{
if (selected[i] && fabs(R(i, i) - 1)> SAME_THRESHOLD)
{
int pair_second = -1;
for (int j = i + 1; j <N; j++)
{
if (fabs(R(j, j) - R(i, i)) < SAME_THRESHOLD)
{
pair_second = j;
selected[j] = false;
break;
}
}
if (pair_second > 0)
{
selected[i] = false;
R(i, i) = R(i, i) < -1 ? -1 : R(i, i);
double theta = acos(R(i, i));
if (R(i, pair_second) < 0)
{
theta = -theta;
}
mat_B(i, pair_second) += theta;
mat_B(pair_second, i) += -theta;
mat_V(i, pair_second) += -theta / 2;
mat_V(pair_second, i) += theta / 2;
double coeff = 1 - (theta * R(i, pair_second)) / (2 * (1 - R(i, i)));
mat_V(i, i) += -coeff;
mat_V(pair_second, pair_second) += -coeff;
}
}
}
AffineMatrixN LogTrim = AffineMatrixN::Zero();
LogTrim.block(0, 0, N, N) = mat_B;
LogTrim.block(0, N, N, 1) = mat_V * R.block(0, N, N, 1);
AffineMatrixN res = U * LogTrim * U.transpose();
return res;
}
inline Vector6 RotToEuler(const AffineNd& T)
{
Vector6 res;
res.head(3) = T.rotation().eulerAngles(0,1,2);
res.tail(3) = T.translation();
return res;
}
inline AffineMatrixN EulerToRot(const Vector6& v)
{
MatrixNN s (Eigen::AngleAxis<Scalar>(v(0), Vector3::UnitX())
* Eigen::AngleAxis<Scalar>(v(1), Vector3::UnitY())
* Eigen::AngleAxis<Scalar>(v(2), Vector3::UnitZ()));
AffineMatrixN m = AffineMatrixN::Zero();
m.block(0,0,3,3) = s;
m(3,3) = 1;
m.col(3).head(3) = v.tail(3);
return m;
}
inline Vector6 LogToVec(const Eigen::Matrix4d& LogT)
{
Vector6 res;
res[0] = -LogT(1, 2);
res[1] = LogT(0, 2);
res[2] = -LogT(0, 1);
res[3] = LogT(0, 3);
res[4] = LogT(1, 3);
res[5] = LogT(2, 3);
return res;
}
inline AffineMatrixN VecToLog(const Vector6& v)
{
AffineMatrixN m = AffineMatrixN::Zero();
m << 0, -v[2], v[1], v[3],
v[2], 0, -v[0], v[4],
-v[1], v[0], 0, v[5],
0, 0, 0, 0;
return m;
}
double FindKnearestMed(const KDtree& kdtree,
const MatrixNX& X, int nk)
{
Eigen::VectorXd X_nearest(X.cols());
#pragma omp parallel for
for(int i = 0; i<X.cols(); i++)
{
int* id = new int[nk];
double *dist = new double[nk];
kdtree.query(X.col(i).data(), nk, id, dist);
Eigen::VectorXd k_dist = Eigen::Map<Eigen::VectorXd>(dist, nk);
igl::median(k_dist.tail(nk-1), X_nearest[i]);
delete[]id;
delete[]dist;
}
double med;
igl::median(X_nearest, med);
return sqrt(med);
}
/// Find self normal edge median of point cloud
double FindKnearestNormMed(const KDtree& kdtree, const Eigen::Matrix3Xd & X, int nk, const Eigen::Matrix3Xd & norm_x)
{
Eigen::VectorXd X_nearest(X.cols());
#pragma omp parallel for
for(int i = 0; i<X.cols(); i++)
{
int* id = new int[nk];
double *dist = new double[nk];
kdtree.query(X.col(i).data(), nk, id, dist);
Eigen::VectorXd k_dist = Eigen::Map<Eigen::VectorXd>(dist, nk);
for(int s = 1; s<nk; s++)
{
k_dist[s] = std::abs((X.col(id[s]) - X.col(id[0])).dot(norm_x.col(id[0])));
}
igl::median(k_dist.tail(nk-1), X_nearest[i]);
delete[]id;
delete[]dist;
}
double med;
igl::median(X_nearest, med);
return med;
}
template <typename Derived1, typename Derived2, typename Derived3>
AffineNd point_to_point(Eigen::MatrixBase<Derived1>& X,
Eigen::MatrixBase<Derived2>& Y,
const Eigen::MatrixBase<Derived3>& w) {
int dim = X.rows();
/// Normalize weight vector
Eigen::VectorXd w_normalized = w / w.sum();
/// De-mean
Eigen::VectorXd X_mean(dim), Y_mean(dim);
for (int i = 0; i<dim; ++i) {
X_mean(i) = (X.row(i).array()*w_normalized.transpose().array()).sum();
Y_mean(i) = (Y.row(i).array()*w_normalized.transpose().array()).sum();
}
X.colwise() -= X_mean;
Y.colwise() -= Y_mean;
/// Compute transformation
AffineNd transformation;
MatrixXX sigma = X * w_normalized.asDiagonal() * Y.transpose();
Eigen::JacobiSVD<MatrixXX> svd(sigma, Eigen::ComputeFullU | Eigen::ComputeFullV);
if (svd.matrixU().determinant()*svd.matrixV().determinant() < 0.0) {
VectorN S = VectorN::Ones(dim); S(dim-1) = -1.0;
transformation.linear() = svd.matrixV()*S.asDiagonal()*svd.matrixU().transpose();
}
else {
transformation.linear() = svd.matrixV()*svd.matrixU().transpose();
}
transformation.translation() = Y_mean - transformation.linear()*X_mean;
/// Re-apply mean
X.colwise() += X_mean;
Y.colwise() += Y_mean;
/// Return transformation
return transformation;
}
template <typename Derived1, typename Derived2, typename Derived3, typename Derived4, typename Derived5>
Eigen::Affine3d point_to_plane(Eigen::MatrixBase<Derived1>& X,
Eigen::MatrixBase<Derived2>& Y,
const Eigen::MatrixBase<Derived3>& Norm,
const Eigen::MatrixBase<Derived4>& w,
const Eigen::MatrixBase<Derived5>& u) {
typedef Eigen::Matrix<double, 6, 6> Matrix66;
typedef Eigen::Matrix<double, 6, 1> Vector6;
typedef Eigen::Block<Matrix66, 3, 3> Block33;
/// Normalize weight vector
Eigen::VectorXd w_normalized = w / w.sum();
/// De-mean
Eigen::Vector3d X_mean;
for (int i = 0; i<3; ++i)
X_mean(i) = (X.row(i).array()*w_normalized.transpose().array()).sum();
X.colwise() -= X_mean;
Y.colwise() -= X_mean;
/// Prepare LHS and RHS
Matrix66 LHS = Matrix66::Zero();
Vector6 RHS = Vector6::Zero();
Block33 TL = LHS.topLeftCorner<3, 3>();
Block33 TR = LHS.topRightCorner<3, 3>();
Block33 BR = LHS.bottomRightCorner<3, 3>();
Eigen::MatrixXd C = Eigen::MatrixXd::Zero(3, X.cols());
#pragma omp parallel
{
#pragma omp for
for (int i = 0; i<X.cols(); i++) {
C.col(i) = X.col(i).cross(Norm.col(i));
}
#pragma omp sections nowait
{
#pragma omp section
for (int i = 0; i<X.cols(); i++) TL.selfadjointView<Eigen::Upper>().rankUpdate(C.col(i), w(i));
#pragma omp section
for (int i = 0; i<X.cols(); i++) TR += (C.col(i)*Norm.col(i).transpose())*w(i);
#pragma omp section
for (int i = 0; i<X.cols(); i++) BR.selfadjointView<Eigen::Upper>().rankUpdate(Norm.col(i), w(i));
#pragma omp section
for (int i = 0; i<C.cols(); i++) {
double dist_to_plane = -((X.col(i) - Y.col(i)).dot(Norm.col(i)) - u(i))*w(i);
RHS.head<3>() += C.col(i)*dist_to_plane;
RHS.tail<3>() += Norm.col(i)*dist_to_plane;
}
}
}
LHS = LHS.selfadjointView<Eigen::Upper>();
/// Compute transformation
Eigen::Affine3d transformation;
Eigen::LDLT<Matrix66> ldlt(LHS);
RHS = ldlt.solve(RHS);
transformation = Eigen::AngleAxisd(RHS(0), Eigen::Vector3d::UnitX()) *
Eigen::AngleAxisd(RHS(1), Eigen::Vector3d::UnitY()) *
Eigen::AngleAxisd(RHS(2), Eigen::Vector3d::UnitZ());
transformation.translation() = RHS.tail<3>();
/// Apply transformation
/// Re-apply mean
X.colwise() += X_mean;
Y.colwise() += X_mean;
transformation.translation() += X_mean - transformation.linear()*X_mean;
/// Return transformation
return transformation;
}
template <typename Derived1, typename Derived2, typename Derived3, typename Derived4>
double point_to_plane_gaussnewton(const Eigen::MatrixBase<Derived1>& X,
const Eigen::MatrixBase<Derived2>& Y,
const Eigen::MatrixBase<Derived3>& norm_y,
const Eigen::MatrixBase<Derived4>& w,
Matrix44 Tk, Vector6& dir) {
typedef Eigen::Matrix<double, 6, 6> Matrix66;
typedef Eigen::Matrix<double, 12, 6> Matrix126;
typedef Eigen::Matrix<double, 9, 3> Matrix93;
typedef Eigen::Block<Matrix126, 9, 3> Block93;
typedef Eigen::Block<Matrix126, 3, 3> Block33;
typedef Eigen::Matrix<double, 12, 1> Vector12;
typedef Eigen::Matrix<double, 9, 1> Vector9;
typedef Eigen::Matrix<double, 4, 2> Matrix42;
/// Normalize weight vector
Eigen::VectorXd w_normalized = w / w.sum();
/// Prepare LHS and RHS
Matrix66 LHS = Matrix66::Zero();
Vector6 RHS = Vector6::Zero();
Vector6 log_T = LogToVec(LogMatrix(Tk));
Matrix33 B = VecToLog(log_T).block(0, 0, 3, 3);
double a = log_T[0];
double b = log_T[1];
double c = log_T[2];
Matrix33 R = Tk.block(0, 0, 3, 3);
Vector3 t = Tk.block(0, 3, 3, 1);
Vector3 u = log_T.tail(3);
Matrix93 dbdw = Matrix93::Zero();
dbdw(1, 2) = dbdw(5, 0) = dbdw(6, 1) = -1;
dbdw(2, 1) = dbdw(3, 2) = dbdw(7, 0) = 1;
Matrix93 db2dw = Matrix93::Zero();
db2dw(3, 1) = db2dw(4, 0) = db2dw(6, 2) = db2dw(8, 0) = a;
db2dw(0, 1) = db2dw(1, 0) = db2dw(7, 2) = db2dw(8, 1) = b;
db2dw(0, 2) = db2dw(2, 0) = db2dw(4, 2) = db2dw(5, 1) = c;
db2dw(1, 1) = db2dw(2, 2) = -2 * a;
db2dw(3, 0) = db2dw(5, 2) = -2 * b;
db2dw(6, 0) = db2dw(7, 1) = -2 * c;
double theta = std::sqrt(a*a + b*b + c*c);
double st = sin(theta), ct = cos(theta);
Matrix42 coeff = Matrix42::Zero();
if (theta>SAME_THRESHOLD)
{
coeff << st / theta, (1 - ct) / (theta*theta),
(theta*ct - st) / (theta*theta*theta), (theta*st - 2 * (1 - ct)) / pow(theta, 4),
(1 - ct) / (theta*theta), (theta - st) / pow(theta, 3),
(theta*st - 2 * (1 - ct)) / pow(theta, 4), (theta*(1 - ct) - 3 * (theta - st)) / pow(theta, 5);
}
else
coeff(0, 0) = 1;
Matrix93 tempB3;
tempB3.block<3, 3>(0, 0) = a*B;
tempB3.block<3, 3>(3, 0) = b*B;
tempB3.block<3, 3>(6, 0) = c*B;
Matrix33 B2 = B*B;
Matrix93 temp2B3;
temp2B3.block<3, 3>(0, 0) = a*B2;
temp2B3.block<3, 3>(3, 0) = b*B2;
temp2B3.block<3, 3>(6, 0) = c*B2;
Matrix93 dRdw = coeff(0, 0)*dbdw + coeff(1, 0)*tempB3
+ coeff(2, 0)*db2dw + coeff(3, 0)*temp2B3;
Vector9 dtdw = coeff(0, 1) * dbdw*u + coeff(1, 1) * tempB3*u
+ coeff(2, 1) * db2dw*u + coeff(3, 1)*temp2B3*u;
Matrix33 dtdu = Matrix33::Identity() + coeff(2, 0)*B + coeff(2, 1) * B2;
Eigen::VectorXd rk(X.cols());
Eigen::MatrixXd Jk(X.cols(), 6);
#pragma omp for
for (int i = 0; i < X.cols(); i++)
{
Vector3 xi = X.col(i);
Vector3 yi = Y.col(i);
Vector3 ni = norm_y.col(i);
double wi = sqrt(w_normalized[i]);
Matrix33 dedR = wi*ni * xi.transpose();
Vector3 dedt = wi*ni;
Vector6 dedx;
dedx(0) = (dedR.cwiseProduct(dRdw.block(0, 0, 3, 3))).sum()
+ dedt.dot(dtdw.head<3>());
dedx(1) = (dedR.cwiseProduct(dRdw.block(3, 0, 3, 3))).sum()
+ dedt.dot(dtdw.segment<3>(3));
dedx(2) = (dedR.cwiseProduct(dRdw.block(6, 0, 3, 3))).sum()
+ dedt.dot(dtdw.tail<3>());
dedx(3) = dedt.dot(dtdu.col(0));
dedx(4) = dedt.dot(dtdu.col(1));
dedx(5) = dedt.dot(dtdu.col(2));
Jk.row(i) = dedx.transpose();
rk[i] = wi * ni.dot(R*xi-yi+t);
}
LHS = Jk.transpose() * Jk;
RHS = -Jk.transpose() * rk;
Eigen::CompleteOrthogonalDecomposition<Matrix66> cod_(LHS);
dir = cod_.solve(RHS);
double gTd = -RHS.dot(dir);
return gTd;
}
public:
void point_to_point(MatrixNX& X, MatrixNX& Y, VectorN& source_mean,
VectorN& target_mean, ICP::Parameters& par){
/// Build kd-tree
KDtree kdtree(Y);
/// Buffers
MatrixNX Q = MatrixNX::Zero(N, X.cols());
VectorX W = VectorX::Zero(X.cols());
AffineNd T;
if (par.use_init) T.matrix() = par.init_trans;
else T = AffineNd::Identity();
MatrixXX To1 = T.matrix();
MatrixXX To2 = T.matrix();
int nPoints = X.cols();
//Anderson Acc para
AndersonAcceleration accelerator_;
AffineNd SVD_T = T;
double energy = .0, last_energy = std::numeric_limits<double>::max();
//ground truth point clouds
MatrixNX X_gt = X;
if(par.has_groundtruth)
{
VectorN temp_trans = par.gt_trans.col(N).head(N);
X_gt.colwise() += source_mean;
X_gt = par.gt_trans.block(0, 0, N, N) * X_gt;
X_gt.colwise() += temp_trans - target_mean;
}
//output para
std::string file_out = par.out_path;
std::vector<double> times, energys, gt_mses;
double begin_time, end_time, run_time;
double gt_mse = 0.0;
// dynamic welsch paras
double nu1 = 1, nu2 = 1;
double begin_init = omp_get_wtime();
//Find initial closest point
#pragma omp parallel for
for (int i = 0; i<nPoints; ++i) {
VectorN cur_p = T * X.col(i);
Q.col(i) = Y.col(kdtree.closest(cur_p.data()));
W[i] = (cur_p - Q.col(i)).norm();
}
if(par.f == ICP::WELSCH)
{
//dynamic welsch, calc k-nearest points with itself;
nu2 = par.nu_end_k * FindKnearestMed(kdtree, Y, 7);
double med1;
igl::median(W, med1);
nu1 = par.nu_begin_k * med1;
}
double end_init = omp_get_wtime();
double init_time = end_init - begin_init;
//AA init
accelerator_.init(par.anderson_m, (N + 1) * (N + 1), LogMatrix(T.matrix()).data());
begin_time = omp_get_wtime();
bool stop1 = false;
while(!stop1)
{
/// run ICP
int icp = 0;
for (; icp<par.max_icp; ++icp)
{
bool accept_aa = false;
energy = get_energy(par.f, W, nu1);
if (par.use_AA)
{
if (energy < last_energy) {
last_energy = energy;
accept_aa = true;
}
else{
accelerator_.replace(LogMatrix(SVD_T.matrix()).data());
//Re-find the closest point
#pragma omp parallel for
for (int i = 0; i<nPoints; ++i) {
VectorN cur_p = SVD_T * X.col(i);
Q.col(i) = Y.col(kdtree.closest(cur_p.data()));
W[i] = (cur_p - Q.col(i)).norm();
}
last_energy = get_energy(par.f, W, nu1);
}
}
else
last_energy = energy;
end_time = omp_get_wtime();
run_time = end_time - begin_time;
if(par.has_groundtruth)
{
gt_mse = (T*X - X_gt).squaredNorm()/nPoints;
}
// save results
energys.push_back(last_energy);
times.push_back(run_time);
gt_mses.push_back(gt_mse);
if (par.print_energy)
std::cout << "icp iter = " << icp << ", Energy = " << last_energy
<< ", time = " << run_time << std::endl;
robust_weight(par.f, W, nu1);
// Rotation and translation update
T = point_to_point(X, Q, W);
//Anderson Acc
SVD_T = T;
if (par.use_AA)
{
AffineMatrixN Trans = (Eigen::Map<const AffineMatrixN>(accelerator_.compute(LogMatrix(T.matrix()).data()).data(), N+1, N+1)).exp();
T.linear() = Trans.block(0,0,N,N);
T.translation() = Trans.block(0,N,N,1);
}
// Find closest point
#pragma omp parallel for
for (int i = 0; i<nPoints; ++i) {
VectorN cur_p = T * X.col(i) ;
Q.col(i) = Y.col(kdtree.closest(cur_p.data()));
W[i] = (cur_p - Q.col(i)).norm();
}
/// Stopping criteria
double stop2 = (T.matrix() - To2).norm();
To2 = T.matrix();
if(stop2 < par.stop)
{
break;
}
}
if(par.f!= ICP::WELSCH)
stop1 = true;
else
{
stop1 = fabs(nu1 - nu2)<SAME_THRESHOLD? true: false;
nu1 = nu1*par.nu_alpha > nu2? nu1*par.nu_alpha : nu2;
if(par.use_AA)
{
accelerator_.reset(LogMatrix(T.matrix()).data());
last_energy = std::numeric_limits<double>::max();
}
}
}
///calc convergence energy
last_energy = get_energy(par.f, W, nu1);
X = T * X;
gt_mse = (X-X_gt).squaredNorm()/nPoints;
T.translation() += - T.rotation() * source_mean + target_mean;
X.colwise() += target_mean;
///save convergence result
par.convergence_energy = last_energy;
par.convergence_gt_mse = gt_mse;
par.res_trans = T.matrix();
///output
if (par.print_output)
{
std::ofstream out_res(par.out_path);
if (!out_res.is_open())
{
std::cout << "Can't open out file " << par.out_path << std::endl;
}
//output time and energy
out_res.precision(16);
for (int i = 0; i<times.size(); i++)
{
out_res << times[i] << " "<< energys[i] << " " << gt_mses[i] << std::endl;
}
out_res.close();
std::cout << " write res to " << par.out_path << std::endl;
}
}
/// Reweighted ICP with point to plane
/// @param Source (one 3D point per column)
/// @param Target (one 3D point per column)
/// @param Target normals (one 3D normal per column)
/// @param Parameters
// template <typename Derived1, typename Derived2, typename Derived3>
void point_to_plane(Eigen::Matrix3Xd& X,
Eigen::Matrix3Xd& Y, Eigen::Matrix3Xd& norm_x, Eigen::Matrix3Xd& norm_y,
Eigen::Vector3d& source_mean, Eigen::Vector3d& target_mean,
ICP::Parameters &par) {
/// Build kd-tree
KDtree kdtree(Y);
/// Buffers
Eigen::Matrix3Xd Qp = Eigen::Matrix3Xd::Zero(3, X.cols());
Eigen::Matrix3Xd Qn = Eigen::Matrix3Xd::Zero(3, X.cols());
Eigen::VectorXd W = Eigen::VectorXd::Zero(X.cols());
Eigen::Matrix3Xd ori_X = X;
AffineNd T;
if (par.use_init) T.matrix() = par.init_trans;
else T = AffineNd::Identity();
AffineMatrixN To1 = T.matrix();
X = T*X;
Eigen::Matrix3Xd X_gt = X;
if(par.has_groundtruth)
{
Eigen::Vector3d temp_trans = par.gt_trans.block(0, 3, 3, 1);
X_gt = ori_X;
X_gt.colwise() += source_mean;
X_gt = par.gt_trans.block(0, 0, 3, 3) * X_gt;
X_gt.colwise() += temp_trans - target_mean;
}
std::vector<double> times, energys, gt_mses;
double begin_time, end_time, run_time;
double gt_mse = 0.0;
///dynamic welsch, calc k-nearest points with itself;
double begin_init = omp_get_wtime();
//Anderson Acc para
AndersonAcceleration accelerator_;
AffineNd LG_T = T;
double energy = 0.0, prev_res = std::numeric_limits<double>::max(), res = 0.0;
// Find closest point
#pragma omp parallel for
for (int i = 0; i<X.cols(); ++i) {
int id = kdtree.closest(X.col(i).data());
Qp.col(i) = Y.col(id);
Qn.col(i) = norm_y.col(id);
W[i] = std::abs(Qn.col(i).transpose() * (X.col(i) - Qp.col(i)));
}
double end_init = omp_get_wtime();
double init_time = end_init - begin_init;
begin_time = omp_get_wtime();
int total_iter = 0;
double test_total_time = 0.0;
bool stop1 = false;
while(!stop1)
{
/// ICP
for(int icp=0; icp<par.max_icp; ++icp) {
total_iter++;
bool accept_aa = false;
energy = get_energy(par.f, W, par.p);
end_time = omp_get_wtime();
run_time = end_time - begin_time;
energys.push_back(energy);
times.push_back(run_time);
Eigen::VectorXd test_w = (X-Qp).colwise().norm();
if(par.has_groundtruth)
{
gt_mse = (X - X_gt).squaredNorm()/X.cols();
}
gt_mses.push_back(gt_mse);
/// Compute weights
robust_weight(par.f, W, par.p);
/// Rotation and translation update
T = point_to_plane(X, Qp, Qn, W, Eigen::VectorXd::Zero(X.cols()))*T;
/// Find closest point
#pragma omp parallel for
for(int i=0; i<X.cols(); i++) {
X.col(i) = T * ori_X.col(i);
int id = kdtree.closest(X.col(i).data());
Qp.col(i) = Y.col(id);
Qn.col(i) = norm_y.col(id);
W[i] = std::abs(Qn.col(i).transpose() * (X.col(i) - Qp.col(i)));
}
if(par.print_energy)
std::cout << "icp iter = " << total_iter << ", gt_mse = " << gt_mse
<< ", energy = " << energy << std::endl;
/// Stopping criteria
double stop2 = (T.matrix() - To1).norm();
To1 = T.matrix();
if(stop2 < par.stop) break;
}
stop1 = true;
}
par.res_trans = T.matrix();
///calc convergence energy
W = (Qn.array()*(X - Qp).array()).colwise().sum().abs().transpose();
energy = get_energy(par.f, W, par.p);
gt_mse = (X - X_gt).squaredNorm() / X.cols();
T.translation().noalias() += -T.rotation()*source_mean + target_mean;
X.colwise() += target_mean;
norm_x = T.rotation()*norm_x;
///save convergence result
par.convergence_energy = energy;
par.convergence_gt_mse = gt_mse;
par.res_trans = T.matrix();
///output
if (par.print_output)
{
std::ofstream out_res(par.out_path);
if (!out_res.is_open())
{
std::cout << "Can't open out file " << par.out_path << std::endl;
}
///output time and energy
out_res.precision(16);
for (int i = 0; i<total_iter; i++)
{
out_res << times[i] << " "<< energys[i] << " " << gt_mses[i] << std::endl;
}
out_res.close();
std::cout << " write res to " << par.out_path << std::endl;
}
}
/// Reweighted ICP with point to plane
/// @param Source (one 3D point per column)
/// @param Target (one 3D point per column)
/// @param Target normals (one 3D normal per column)
/// @param Parameters
// template <typename Derived1, typename Derived2, typename Derived3>
void point_to_plane_GN(Eigen::Matrix3Xd& X,
Eigen::Matrix3Xd& Y, Eigen::Matrix3Xd& norm_x, Eigen::Matrix3Xd& norm_y,
Eigen::Vector3d& source_mean, Eigen::Vector3d& target_mean,
ICP::Parameters &par) {
/// Build kd-tree
KDtree kdtree(Y);
/// Buffers
Eigen::Matrix3Xd Qp = Eigen::Matrix3Xd::Zero(3, X.cols());
Eigen::Matrix3Xd Qn = Eigen::Matrix3Xd::Zero(3, X.cols());
Eigen::VectorXd W = Eigen::VectorXd::Zero(X.cols());
Eigen::Matrix3Xd ori_X = X;
AffineNd T;
if (par.use_init) T.matrix() = par.init_trans;
else T = AffineNd::Identity();
AffineMatrixN To1 = T.matrix();
X = T*X;
Eigen::Matrix3Xd X_gt = X;
if(par.has_groundtruth)
{
Eigen::Vector3d temp_trans = par.gt_trans.block(0, 3, 3, 1);
X_gt = ori_X;
X_gt.colwise() += source_mean;
X_gt = par.gt_trans.block(0, 0, 3, 3) * X_gt;
X_gt.colwise() += temp_trans - target_mean;
}
std::vector<double> times, energys, gt_mses;
double begin_time, end_time, run_time;
double gt_mse;
///dynamic welsch, calc k-nearest points with itself;
double nu1 = 1, nu2 = 1;
double begin_init = omp_get_wtime();
//Anderson Acc para
AndersonAcceleration accelerator_;
Vector6 LG_T;
Vector6 Dir;
//add time test
double energy = 0.0, prev_energy = std::numeric_limits<double>::max();
if(par.use_AA)
{
Eigen::Matrix4d log_T = LogMatrix(T.matrix());
LG_T = LogToVec(log_T);
accelerator_.init(par.anderson_m, 6, LG_T.data());
}
// Find closest point
#pragma omp parallel for
for (int i = 0; i<X.cols(); ++i) {
int id = kdtree.closest(X.col(i).data());
Qp.col(i) = Y.col(id);
Qn.col(i) = norm_y.col(id);
W[i] = std::abs(Qn.col(i).transpose() * (X.col(i) - Qp.col(i)));
}
if(par.f == ICP::WELSCH)
{
double med1;
igl::median(W, med1);
nu1 =par.nu_begin_k * med1;
nu2 = par.nu_end_k * FindKnearestNormMed(kdtree, Y, 7, norm_y);
}
double end_init = omp_get_wtime();
double init_time = end_init - begin_init;
begin_time = omp_get_wtime();
int total_iter = 0;
double test_total_time = 0.0;
bool stop1 = false;
par.max_icp = 6;
while(!stop1)
{
par.max_icp = std::min(par.max_icp+1, 10);
/// ICP
for(int icp=0; icp<par.max_icp; ++icp) {
total_iter++;
int n_linsearch = 0;
energy = get_energy(par.f, W, nu1);
if(par.use_AA)
{
if(energy < prev_energy)
{
prev_energy = energy;
}
else
{
// line search
double alpha = 0.0;
Vector6 new_t = LG_T;
Eigen::VectorXd lowest_W = W;
Eigen::Matrix3Xd lowest_Qp = Qp;
Eigen::Matrix3Xd lowest_Qn = Qn;
Eigen::Affine3d lowest_T = T;
n_linsearch++;
alpha = 1;
new_t = LG_T + alpha * Dir;
T.matrix() = VecToLog(new_t).exp();
/// Find closest point
#pragma omp parallel for
for(int i=0; i<X.cols(); i++) {
X.col(i) = T * ori_X.col(i);
int id = kdtree.closest(X.col(i).data());
Qp.col(i) = Y.col(id);
Qn.col(i) = norm_y.col(id);
W[i] = std::abs(Qn.col(i).transpose() * (X.col(i) - Qp.col(i)));
}
double test_energy = get_energy(par.f, W, nu1);
if(test_energy < energy)
{
accelerator_.reset(new_t.data());
energy = test_energy;
}
else
{
Qp = lowest_Qp;
Qn = lowest_Qn;
W = lowest_W;
T = lowest_T;
}
prev_energy = energy;
}
}
else
{
prev_energy = energy;
}
end_time = omp_get_wtime();
run_time = end_time - begin_time;
energys.push_back(prev_energy);
times.push_back(run_time);
if(par.has_groundtruth)
{
gt_mse = (X - X_gt).squaredNorm()/X.cols();
}
gt_mses.push_back(gt_mse);
/// Compute weights
robust_weight(par.f, W, nu1);
/// Rotation and translation update
point_to_plane_gaussnewton(ori_X, Qp, Qn, W, T.matrix(), Dir);
LG_T = LogToVec(LogMatrix(T.matrix()));
LG_T += Dir;
T.matrix() = VecToLog(LG_T).exp();
// Anderson acc
if(par.use_AA)
{
Vector6 AA_t;
AA_t = accelerator_.compute(LG_T.data());
T.matrix() = VecToLog(AA_t).exp();
}
if(par.print_energy)
std::cout << "icp iter = " << total_iter << ", gt_mse = " << gt_mse
<< ", nu1 = " << nu1 << ", acept_aa= " << n_linsearch
<< ", energy = " << prev_energy << std::endl;
/// Find closest point
#pragma omp parallel for
for(int i=0; i<X.cols(); i++) {
X.col(i) = T * ori_X.col(i);
int id = kdtree.closest(X.col(i).data());
Qp.col(i) = Y.col(id);
Qn.col(i) = norm_y.col(id);
W[i] = std::abs(Qn.col(i).transpose() * (X.col(i) - Qp.col(i)));
}
/// Stopping criteria
double stop2 = (T.matrix() - To1).norm();
To1 = T.matrix();
if(stop2 < par.stop) break;
}
if(par.f == ICP::WELSCH)
{
stop1 = fabs(nu1 - nu2)<SAME_THRESHOLD? true: false;
nu1 = nu1*par.nu_alpha > nu2 ? nu1*par.nu_alpha : nu2;
if(par.use_AA)
{
accelerator_.reset(LogToVec(LogMatrix(T.matrix())).data());
prev_energy = std::numeric_limits<double>::max();
}
}
else
stop1 = true;
}
par.res_trans = T.matrix();
///calc convergence energy
W = (Qn.array()*(X - Qp).array()).colwise().sum().abs().transpose();
energy = get_energy(par.f, W, nu1);
gt_mse = (X - X_gt).squaredNorm() / X.cols();
T.translation().noalias() += -T.rotation()*source_mean + target_mean;
X.colwise() += target_mean;
norm_x = T.rotation()*norm_x;
///save convergence result
par.convergence_energy = energy;
par.convergence_gt_mse = gt_mse;
par.res_trans = T.matrix();
///output
if (par.print_output)
{
std::ofstream out_res(par.out_path);
if (!out_res.is_open())
{
std::cout << "Can't open out file " << par.out_path << std::endl;
}
///output time and energy
out_res.precision(16);
for (int i = 0; i<total_iter; i++)
{
out_res << times[i] << " "<< energys[i] << " " << gt_mses[i] << std::endl;
}
out_res.close();
std::cout << " write res to " << par.out_path << std::endl;
}
}
};
#endif
|
libperf_int.h | /**
* Copyright (C) Mellanox Technologies Ltd. 2001-2015. ALL RIGHTS RESERVED.
* Copyright (C) The University of Tennessee and The University
* of Tennessee Research Foundation. 2016. ALL RIGHTS RESERVED.
*
* See file LICENSE for terms.
*/
#ifndef LIBPERF_INT_H_
#define LIBPERF_INT_H_
#include <tools/perf/api/libperf.h>
BEGIN_C_DECLS
/** @file libperf_int.h */
#include <ucs/async/async.h>
#include <ucs/time/time.h>
#include <ucs/sys/math.h>
#if _OPENMP
#include <omp.h>
#endif
#define TIMING_QUEUE_SIZE 2048
#define UCT_PERF_TEST_AM_ID 5
#define ADDR_BUF_SIZE 2048
#define EXTRA_INFO_SIZE 256
#define UCX_PERF_TEST_FOREACH(perf) \
while (!ucx_perf_context_done(perf))
#define rte_call(_perf, _func, ...) \
((_perf)->params.rte->_func((_perf)->params.rte_group, ## __VA_ARGS__))
typedef struct ucx_perf_context ucx_perf_context_t;
typedef struct uct_peer uct_peer_t;
typedef struct ucp_perf_request ucp_perf_request_t;
typedef struct ucx_perf_thread_context ucx_perf_thread_context_t;
struct ucx_perf_allocator {
ucs_memory_type_t mem_type;
ucs_status_t (*init)(ucx_perf_context_t *perf);
ucs_status_t (*uct_alloc)(const ucx_perf_context_t *perf, size_t length,
unsigned flags, uct_allocated_memory_t *alloc_mem);
void (*uct_free)(const ucx_perf_context_t *perf,
uct_allocated_memory_t *alloc_mem);
void (*memcpy)(void *dst, ucs_memory_type_t dst_mem_type,
const void *src, ucs_memory_type_t src_mem_type,
size_t count);
void* (*memset)(void *dst, int value, size_t count);
};
struct ucx_perf_context {
ucx_perf_params_t params;
/* Buffers */
void *send_buffer;
void *recv_buffer;
/* Measurements */
double start_time_acc; /* accurate start time */
ucs_time_t end_time; /* inaccurate end time (upper bound) */
ucs_time_t prev_time; /* time of previous iteration */
ucs_time_t report_interval; /* interval of showing report */
ucx_perf_counter_t max_iter;
/* Measurements of current/previous **report** */
struct {
ucx_perf_counter_t msgs; /* number of messages */
ucx_perf_counter_t bytes; /* number of bytes */
ucx_perf_counter_t iters; /* number of iterations */
ucs_time_t time; /* inaccurate time (for median and report interval) */
double time_acc; /* accurate time (for avg latency/bw/msgrate) */
} current, prev;
ucs_time_t timing_queue[TIMING_QUEUE_SIZE];
unsigned timing_queue_head;
const ucx_perf_allocator_t *allocator;
char extra_info[EXTRA_INFO_SIZE];
union {
struct {
ucs_async_context_t async;
uct_component_h cmpt;
uct_md_h md;
uct_worker_h worker;
uct_iface_h iface;
uct_peer_t *peers;
uct_allocated_memory_t send_mem;
uct_allocated_memory_t recv_mem;
uct_iov_t *iov;
} uct;
struct {
ucp_context_h context;
ucx_perf_thread_context_t* tctx;
ucp_worker_h worker;
ucp_ep_h ep;
ucp_rkey_h rkey;
unsigned long remote_addr;
ucp_mem_h send_memh;
ucp_mem_h recv_memh;
ucp_dt_iov_t *send_iov;
ucp_dt_iov_t *recv_iov;
void *am_hdr;
} ucp;
};
};
struct ucx_perf_thread_context {
pthread_t pt;
int tid;
ucs_status_t status;
ucx_perf_context_t perf;
ucx_perf_result_t result;
};
struct uct_peer {
uct_ep_h ep;
unsigned long remote_addr;
uct_rkey_bundle_t rkey;
};
struct ucp_perf_request {
void *context;
};
typedef struct {
ucs_status_t (*setup)(ucx_perf_context_t *perf);
void (*cleanup)(ucx_perf_context_t *perf);
ucs_status_t (*run)(ucx_perf_context_t *perf);
void (*barrier)(ucx_perf_context_t *perf);
} ucx_perf_funcs_t;
extern ucx_perf_funcs_t ucx_perf_funcs[];
unsigned rte_peer_index(unsigned group_size, unsigned group_index);
void ucx_perf_test_start_clock(ucx_perf_context_t *perf);
void uct_perf_ep_flush_b(ucx_perf_context_t *perf, int peer_index);
void uct_perf_iface_flush_b(ucx_perf_context_t *perf);
ucs_status_t uct_perf_test_dispatch(ucx_perf_context_t *perf);
ucs_status_t ucp_perf_test_dispatch(ucx_perf_context_t *perf);
void ucx_perf_calc_result(ucx_perf_context_t *perf, ucx_perf_result_t *result);
void uct_perf_barrier(ucx_perf_context_t *perf);
void ucp_perf_thread_barrier(ucx_perf_context_t *perf);
void ucp_perf_barrier(ucx_perf_context_t *perf);
ucs_status_t ucp_perf_test_alloc_mem(ucx_perf_context_t *perf);
void ucp_perf_test_free_mem(ucx_perf_context_t *perf);
ucs_status_t uct_perf_test_alloc_mem(ucx_perf_context_t *perf);
void uct_perf_test_free_mem(ucx_perf_context_t *perf);
ucs_status_t ucx_perf_thread_spawn(ucx_perf_context_t *perf,
ucx_perf_result_t* result);
void ucx_perf_test_prepare_new_run(ucx_perf_context_t *perf,
const ucx_perf_params_t *params);
void ucx_perf_set_warmup(ucx_perf_context_t* perf,
const ucx_perf_params_t* params);
/**
* Get the total length of the message size given by parameters
*/
size_t ucx_perf_get_message_size(const ucx_perf_params_t *params);
void ucx_perf_report(ucx_perf_context_t *perf);
static UCS_F_ALWAYS_INLINE int ucx_perf_context_done(ucx_perf_context_t *perf)
{
return ucs_unlikely((perf->current.iters >= perf->max_iter) ||
(perf->current.time > perf->end_time));
}
static inline void ucx_perf_get_time(ucx_perf_context_t *perf)
{
perf->current.time_acc = ucs_get_accurate_time();
}
static inline void ucx_perf_omp_barrier(ucx_perf_context_t *perf)
{
#if _OPENMP
if (perf->params.thread_count > 1) {
#pragma omp barrier
}
#endif
}
static UCS_F_ALWAYS_INLINE void ucx_perf_update(ucx_perf_context_t *perf,
ucx_perf_counter_t iters,
size_t bytes)
{
perf->current.time = ucs_get_time();
perf->current.iters += iters;
perf->current.bytes += bytes;
perf->current.msgs += 1;
perf->timing_queue[perf->timing_queue_head] =
perf->current.time - perf->prev_time;
++perf->timing_queue_head;
if (perf->timing_queue_head == TIMING_QUEUE_SIZE) {
perf->timing_queue_head = 0;
}
perf->prev_time = perf->current.time;
if (ucs_unlikely((perf->current.time - perf->prev.time) >=
perf->report_interval)) {
ucx_perf_report(perf);
}
}
END_C_DECLS
#endif
|
Example_tasking.9.c | /*
* @@name: tasking.9c
* @@type: C
* @@compilable: yes
* @@linkable: no
* @@expect: rt-error
* @@version: omp_3.0
*/
void work()
{
#pragma omp task
{ //Task 1
#pragma omp task
{ //Task 2
#pragma omp critical //Critical region 1
{/*do work here */ }
}
#pragma omp critical //Critical Region 2
{
//Capture data for the following task
#pragma omp task
{ /* do work here */ } //Task 3
}
}
}
|
prob2.c | #include <omp.h>
#include <stdio.h>
#define N 8
int main(int argc, char** argv)
{
int arr[32];
int i;
omp_set_num_threads(N);
#pragma omp parallel shared(arr) private(i)
{
#pragma omp for
for (i = 0; i < 32; i++)
{
arr[i] = 5*i;
}
}
for (i = 0; i < 32; i++)
{
printf("arr[%d] = %d\n", i, arr[i], 5*i);
}
return 0;
}
|
sum_gpu.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main()
{
double sum = 0;
int width = 40000000;
#pragma omp target teams distribute parallel for simd map(tofrom:sum) map(to:width) reduction(+:sum)
for(int i = 0; i < width; i++)
{
sum += i;
}
printf("\nSum = %lf\n",sum);
} |
3d_simple_v1.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main()
{
int*** M = (int***) malloc(sizeof(int**)*2);
M[0] = (int**)malloc(sizeof(int**)*2);
M[1] = (int**)malloc(sizeof(int**)*2);
M[0][0] = (int*)malloc(sizeof(int*)*2);
M[0][1] = (int*)malloc(sizeof(int*)*2);
M[1][0] = (int*)malloc(sizeof(int*)*2);
M[1][1] = (int*)malloc(sizeof(int*)*2);
#pragma omp parallel
{
M[0][0][0] = 42;
M[0][0][1] = 42;
M[0][1][0] = 42;
M[0][1][1] = 42;
M[1][0][0] = 46;
M[1][0][1] = 46;
M[1][1][0] = 46;
M[1][1][1] = 46;
#pragma omp barrier
printf("[\n[[%d,%d]\n[%d,%d]]\n[[%d,%d]\n[%d,%d]\n]\n", M[0][0][0],M[0][0][1],M[0][1][0],M[0][1][1],M[1][0][0],M[1][0][1],M[1][1][0],M[1][1][1]);
}
free(M[0][0]);
free(M[0][1]);
free(M[1][0]);
free(M[1][1]);
free(M[0]);
free(M[1]);
free(M);
}
|
DRB002-antidep1-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.
*/
/*
A loop with loop-carried anti-dependence.
Data race pair: a[i+1]@67:10 vs. a[i]@67:5
*/
#include <stdlib.h>
#include <stdio.h>
#include <omp.h>
int main(int argc,char *argv[])
{
int i;
int len = 1000;
if (argc > 1)
len = atoi(argv[1]);
int a[len];
#pragma omp parallel for private (i)
for (i = 0; i <= len - 1; i += 1) {
a[i] = i;
}
for (i = 0; i <= len - 1 - 1; i += 1) {
a[i] = a[i + 1] + 1;
}
for (i = 0; i <= len - 1; i += 1) {
printf("%d\n",a[i]);
}
return 0;
}
|
GB_binop__div_fc64.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 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__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_08__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_02__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_04__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__div_fc64)
// A*D function (colscale): GB (_AxD__div_fc64)
// D*A function (rowscale): GB (_DxB__div_fc64)
// C+=B function (dense accum): GB (_Cdense_accumB__div_fc64)
// C+=b function (dense accum): GB (_Cdense_accumb__div_fc64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__div_fc64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__div_fc64)
// C=scalar+B GB (_bind1st__div_fc64)
// C=scalar+B' GB (_bind1st_tran__div_fc64)
// C=A+scalar GB (_bind2nd__div_fc64)
// C=A'+scalar GB (_bind2nd_tran__div_fc64)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// A pattern? 0
// B type: GxB_FC64_t
// B pattern? 0
// BinaryOp: cij = GB_FC64_div (aij, bij)
#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) \
GxB_FC64_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) \
GxB_FC64_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) \
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 = GB_FC64_div (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_DIV || GxB_NO_FC64 || GxB_NO_DIV_FC64)
//------------------------------------------------------------------------------
// 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__div_fc64)
(
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
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__div_fc64)
(
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__div_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__div_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
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__div_fc64)
(
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
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) 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__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
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
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__div_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 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) ;
GxB_FC64_t alpha_scalar ;
GxB_FC64_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((GxB_FC64_t *) alpha_scalar_in)) ;
beta_scalar = (*((GxB_FC64_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__div_fc64)
(
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__div_fc64)
(
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__div_fc64)
(
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__div_fc64)
(
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__div_fc64)
(
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 ;
GxB_FC64_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_FC64_div (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__div_fc64)
(
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 ;
GxB_FC64_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_FC64_div (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_FC64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_FC64_div (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__div_fc64)
(
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
}
//------------------------------------------------------------------------------
// 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_FC64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_FC64_div (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__div_fc64)
(
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
|
GB_ijproperties.c | //------------------------------------------------------------------------------
// GB_ijproperties: check I and determine its properties
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// check a list of indices I and determine its properties
#include "GB_ij.h"
// FUTURE:: if limit=0, print a different message. see also setEl, extractEl.
#define GB_ICHECK(i,limit) \
{ \
if ((i) < 0 || (i) >= (limit)) \
{ \
GB_ERROR (GrB_INDEX_OUT_OF_BOUNDS, \
"index " GBd " out of bounds, must be < " GBd , (i), (limit)) ; \
} \
}
GrB_Info GB_ijproperties // check I and determine its properties
(
// input:
const GrB_Index *I, // list of indices, or special
const int64_t ni, // length I, or special
const int64_t nI, // actual length from GB_ijlength
const int64_t limit, // I must be in the range 0 to limit-1
// input/output:
int *Ikind, // kind of I, from GB_ijlength
int64_t Icolon [3], // begin:inc:end from GB_ijlength
// output:
bool *I_is_unsorted, // true if I is out of order
bool *I_has_dupl, // true if I has a duplicate entry (undefined
// if I is unsorted)
bool *I_is_contig, // true if I is a contiguous list, imin:imax
int64_t *imin_result, // min (I)
int64_t *imax_result, // max (I)
GB_Context Context
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
// inputs:
// I: a list of indices if Ikind is GB_LIST
// limit: the matrix dimension (# of rows or # of columns)
// ni: only used if Ikind is GB_LIST: the length of the array I
// nI: the length of the list I, either actual or implicit
// input/output: these can be modified
// Ikind: GB_ALL, GB_RANGE, GB_STRIDE (both +/- inc), or GB_LIST
// Icolon: begin:inc:end for all but GB_LIST
// outputs:
// I_is_unsorted: true if Ikind == GB_LIST and not in ascending order
// I_is_contig: true if I has the form I = begin:end
// imin, imax: min (I) and max (I), but only including actual indices
// in the sequence. The end value of I=begin:inc:end may not be
// reached. For example if I=1:2:10 then max(I)=9, not 10.
ASSERT (I != NULL) ;
ASSERT (limit >= 0) ;
ASSERT (limit < GB_NMAX) ;
int64_t imin, imax ;
//--------------------------------------------------------------------------
// scan I
//--------------------------------------------------------------------------
// scan the list of indices: check if OK, determine if they are
// unsorted, or contiguous, their min and max index, and actual length
bool I_unsorted = false ;
bool I_has_duplicates = false ;
bool I_contig = true ;
if ((*Ikind) == GB_ALL)
{
//----------------------------------------------------------------------
// I = 0:limit-1
//----------------------------------------------------------------------
imin = 0 ;
imax = limit-1 ;
ASSERT (Icolon [GxB_BEGIN] == imin) ;
ASSERT (Icolon [GxB_INC ] == 1) ;
ASSERT (Icolon [GxB_END ] == imax) ;
}
else if ((*Ikind) == GB_RANGE)
{
//----------------------------------------------------------------------
// I = imin:imax
//----------------------------------------------------------------------
imin = Icolon [GxB_BEGIN] ;
ASSERT (Icolon [GxB_INC] == 1) ;
imax = Icolon [GxB_END ] ;
if (imin > imax)
{
// imin > imax: list is empty
imin = limit ;
imax = -1 ;
}
else
{
// check the limits
GB_ICHECK (imin, limit) ;
GB_ICHECK (imax, limit) ;
}
}
else if ((*Ikind) == GB_STRIDE)
{
//----------------------------------------------------------------------
// I = imin:iinc:imax
//----------------------------------------------------------------------
// int64_t ibegin = Icolon [GxB_BEGIN] ;
int64_t iinc = Icolon [GxB_INC ] ;
// int64_t iend = Icolon [GxB_END ] ;
// if iinc == 1 on input, the kind has been changed to GB_RANGE
ASSERT (iinc != 1) ;
if (iinc == 0)
{
// stride is zero: list is empty, contiguous, and sorted
imin = limit ;
imax = -1 ;
}
else if (iinc > 0)
{
// stride is positive, get the first and last indices
imin = GB_ijlist (I, 0, GB_STRIDE, Icolon) ;
imax = GB_ijlist (I, nI-1, GB_STRIDE, Icolon) ;
}
else
{
// stride is negative, get the first and last indices
imin = GB_ijlist (I, nI-1, GB_STRIDE, Icolon) ;
imax = GB_ijlist (I, 0, GB_STRIDE, Icolon) ;
}
if (imin > imax)
{
// list is empty: so it is contiguous and sorted
imin = limit ;
imax = -1 ;
// change this to an empty GB_RANGE
(*Ikind) = GB_RANGE ;
Icolon [GxB_BEGIN] = imin ;
Icolon [GxB_INC ] = 1 ;
Icolon [GxB_END ] = imax ;
}
else
{
// list is contiguous if the stride is 1, not contiguous otherwise
I_contig = false ;
// check the limits
GB_ICHECK (imin, limit) ;
GB_ICHECK (imax, limit) ;
}
}
else // (*Ikind) == GB_LIST
{
//----------------------------------------------------------------------
// determine the number of threads to use
//----------------------------------------------------------------------
GB_GET_NTHREADS_MAX (nthreads_max, chunk, Context) ;
int nthreads = GB_nthreads (ni, chunk, nthreads_max) ;
int ntasks = (nthreads == 1) ? 1 : (8 * nthreads) ;
ntasks = GB_IMIN (ntasks, ni) ;
ntasks = GB_IMAX (ntasks, 0) ;
//----------------------------------------------------------------------
// I is an array of indices
//----------------------------------------------------------------------
// scan I to find imin and imax, and validate the list. Also determine
// if it is sorted or not, and contiguous or not.
imin = limit ;
imax = -1 ;
// allocate workspace for imin and imax
GB_WERK_DECLARE (Work_imin, int64_t) ;
GB_WERK_DECLARE (Work_imax, int64_t) ;
GB_WERK_PUSH (Work_imin, ntasks, int64_t) ;
GB_WERK_PUSH (Work_imax, ntasks, int64_t) ;
if (Work_imin == NULL || Work_imax == NULL)
{
// out of memory
GB_WERK_POP (Work_imax, int64_t) ;
GB_WERK_POP (Work_imin, int64_t) ;
return (GrB_OUT_OF_MEMORY) ;
}
int tid ;
#pragma omp parallel for num_threads(nthreads) schedule(dynamic,1) \
reduction(||:I_unsorted) reduction(&&:I_contig) \
reduction(||:I_has_duplicates)
for (tid = 0 ; tid < ntasks ; tid++)
{
int64_t my_imin = limit ;
int64_t my_imax = -1 ;
int64_t istart, iend ;
GB_PARTITION (istart, iend, ni, tid, ntasks) ;
int64_t ilast = (istart == 0) ? -1 : I [istart-1] ;
for (int64_t inew = istart ; inew < iend ; inew++)
{
int64_t i = I [inew] ;
if (inew > 0)
{
if (i < ilast)
{
// The list I of row indices is out of order, and
// C=A(I,J) will need to use qsort to sort each column.
// If C=A(I,J)' is computed, however, this flag will be
// set back to false, since qsort is not needed if the
// result is transposed.
I_unsorted = true ;
}
else if (i == ilast)
{
// I has at least one duplicate entry. If I is
// unsorted, then it is not known if I has duplicates
// or not. But if I is sorted, but with duplicates,
// then this flag will be true.
I_has_duplicates = true ;
}
if (i != ilast + 1)
{
I_contig = false ;
}
}
my_imin = GB_IMIN (my_imin, i) ;
my_imax = GB_IMAX (my_imax, i) ;
ilast = i ;
}
Work_imin [tid] = my_imin ;
Work_imax [tid] = my_imax ;
}
// wrapup
for (tid = 0 ; tid < ntasks ; tid++)
{
imin = GB_IMIN (imin, Work_imin [tid]) ;
imax = GB_IMAX (imax, Work_imax [tid]) ;
}
// free workspace
GB_WERK_POP (Work_imax, int64_t) ;
GB_WERK_POP (Work_imin, int64_t) ;
#ifdef GB_DEBUG
{
// check result with one thread
bool I_unsorted2 = false ;
bool I_has_dupl2 = false ;
bool I_contig2 = true ;
int64_t imin2 = limit ;
int64_t imax2 = -1 ;
int64_t ilast = -1 ;
for (int64_t inew = 0 ; inew < ni ; inew++)
{
int64_t i = I [inew] ;
if (inew > 0)
{
if (i < ilast) I_unsorted2 = true ;
else if (i == ilast) I_has_dupl2 = true ;
if (i != ilast + 1) I_contig2 = false ;
}
imin2 = GB_IMIN (imin2, i) ;
imax2 = GB_IMAX (imax2, i) ;
ilast = i ;
}
ASSERT (I_unsorted == I_unsorted2) ;
ASSERT (I_has_duplicates == I_has_dupl2) ;
ASSERT (I_contig == I_contig2) ;
ASSERT (imin == imin2) ;
ASSERT (imax == imax2) ;
}
#endif
if (ni > 0)
{
// check the limits
GB_ICHECK (imin, limit) ;
GB_ICHECK (imax, limit) ;
}
if (ni == 1)
{
// a single entry does not need to be sorted
ASSERT (I [0] == imin) ;
ASSERT (I [0] == imax) ;
ASSERT (I_unsorted == false) ;
ASSERT (I_contig == true) ;
}
if (ni == 0)
{
// the list is empty
ASSERT (imin == limit && imax == -1) ;
}
//----------------------------------------------------------------------
// change I if it is an explicit contiguous list of stride 1
//----------------------------------------------------------------------
if (I_contig)
{
// I is a contigous list of stride 1, imin:imax.
// change Ikind to GB_ALL if 0:limit-1, or GB_RANGE otherwise
if (imin == 0 && imax == limit-1)
{
(*Ikind) = GB_ALL ;
}
else
{
(*Ikind) = GB_RANGE ;
}
Icolon [GxB_BEGIN] = imin ;
Icolon [GxB_INC ] = 1 ;
Icolon [GxB_END ] = imax ;
}
}
//--------------------------------------------------------------------------
// return result
//--------------------------------------------------------------------------
ASSERT (GB_IMPLIES (I_contig, !I_unsorted)) ;
ASSERT (((*Ikind) == GB_ALL || (*Ikind) == GB_RANGE) == I_contig) ;
// I_is_contig is true if the list of row indices is a contiguous list,
// imin:imax. This is an important special case.
// I_is_unsorted is true if I is an explicit list, the list is non-empty,
// and the indices are not sorted in ascending order.
(*I_is_contig) = I_contig ;
(*I_is_unsorted) = I_unsorted ;
(*I_has_dupl) = I_has_duplicates ;
(*imin_result) = imin ;
(*imax_result) = imax ;
return (GrB_SUCCESS) ;
}
|
special_accumulation_ops.h | /*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#ifndef LIBND4J_SPECIAL_ACCUMULATION_OPS_H
#define LIBND4J_SPECIAL_ACCUMULATION_OPS_H
#include <templatemath.h>
#include <helpers/TAD.h>
//#include <ops/ops.h>
//#include <loops/reduce.h>
namespace simdOps {
template<typename T>
class LogSumExp {
public:
static const bool requiresSpecialAccumulation = true;
op_def static T startingValue(const T *input) {
return (T) 0.0f;
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_exp<T>(d1 - d2);
}
op_def static T op(T d1, T* extraParams) {
return nd4j::math::nd4j_exp<T>(d1 - extraParams[0]);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return extraParams[0] + nd4j::math::nd4j_log<T>(reduction);
}
#ifdef __CUDACC__
__device__ static inline void aggregatePartials(T *sPartials, int tid, int numItems, T *extraParams) {
// start the shared memory loop on the next power of 2 less
// than the block size. If block size is not a power of 2,
// accumulate the intermediate sums in the remainder range.
int floorPow2 = numItems;
if (floorPow2 & (floorPow2 - 1)) {
while (floorPow2 & (floorPow2 - 1)) {
floorPow2 &= floorPow2 - 1;
}
if (tid >= floorPow2) {
sPartials[tid - floorPow2] = update(sPartials[tid - floorPow2], sPartials[tid], extraParams);
}
__syncthreads();
}
for (int activeThreads = floorPow2 >> 1; activeThreads; activeThreads >>= 1) {
if (tid < activeThreads && tid + activeThreads < numItems) {
sPartials[tid] = update(sPartials[tid], sPartials[tid + activeThreads], extraParams);
}
__syncthreads();
}
}
static inline __device__ void execSpecialCuda(
T *dx,
Nd4jLong *xShapeInfo,
T *extraParams,
T *result,
Nd4jLong *resultShapeInfo,
int *dimension,
int dimensionLength,
T *reductionBuffer,
UnifiedSharedMemory *manager,
Nd4jLong *tadOnlyShapeInfo,
Nd4jLong *tadOffsets) {
// we assume that RESULT already holds max values
//shared memory space for storing intermediate results
__shared__ T *sPartials;
// __shared__ shape::TAD *tad;
__shared__ Nd4jLong tadLength;
__shared__ Nd4jLong tadRank;
__shared__ Nd4jLong numTads;
__shared__ Nd4jLong *tadShape;
__shared__ Nd4jLong *tadStride;
if (threadIdx.x == 0) {
extern __shared__ unsigned char shmem[];
sPartials = (T *) shmem;
tadLength = shape::tadLength(xShapeInfo, dimension, dimensionLength);
tadRank = shape::rank(tadOnlyShapeInfo);
numTads = shape::length(xShapeInfo) / tadLength;
tadShape = shape::shapeOf(tadOnlyShapeInfo);
tadStride = shape::stride(tadOnlyShapeInfo);
}
__syncthreads();
Nd4jLong xCoord[MAX_RANK];
for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
auto tadOffsetForBlock = tadOffsets[r];
sPartials[threadIdx.x] = startingValue(dx + tadOffsetForBlock);
for (int i = threadIdx.x; i < tadLength; i += blockDim.x) {
shape::ind2subC(tadRank, tadShape, i, xCoord);
auto xOffset = shape::getOffset(tadOffsetForBlock, tadShape, tadStride, xCoord, tadRank);
sPartials[threadIdx.x] = update(sPartials[threadIdx.x], op(dx[xOffset], result[r]), extraParams);
}
__syncthreads();
// aggregate. do NOT reduce for elements > tadLength
aggregatePartials(sPartials, threadIdx.x, nd4j::math::nd4j_min<int>(blockDim.x, tadLength), &result[r]);
__syncthreads();
if (threadIdx.x == 0)
result[r] = postProcess(sPartials[threadIdx.x], tadLength, &result[r]);
}
}
#endif
static void execSpecial(T *x,
Nd4jLong *xShapeInfo,
T *extraParams,
T *result,
Nd4jLong *resultShapeInfoBuffer,
int *dimension,
int dimensionLength,
Nd4jLong *tadShapeInfo,
Nd4jLong *tadOffset) {
Nd4jLong resultLength = shape::length(resultShapeInfoBuffer);
auto tadOnlyShapeInfo = tadShapeInfo;
auto tadOffsets = tadOffset;
shape::TAD *tad = nullptr;
if (tadOnlyShapeInfo == nullptr || tadOffsets == nullptr) {
tad = new shape::TAD(xShapeInfo, dimension, dimensionLength);
tad->createTadOnlyShapeInfo();
tad->createOffsets();
if (tad->dimensionLength < 1) {
delete tad;
return;
}
tadOnlyShapeInfo = tad->tadOnlyShapeInfo;
tadOffsets = tad->tadOffsets;
}
const Nd4jLong tadLength = shape::tadLength(xShapeInfo, dimension, dimensionLength);
auto numTads = shape::length(xShapeInfo) / tadLength;
auto tadEWS = shape::elementWiseStride(tadOnlyShapeInfo);
int tadsPerThread = resultLength / TAD_THRESHOLD;
int num_threads = nd4j::math::nd4j_max<int>(1, tadsPerThread);
num_threads = nd4j::math::nd4j_min<int>(num_threads, omp_get_max_threads());
if (tadEWS > 0 && (numTads == 1 || shape::isVector(tadOnlyShapeInfo) || shape::isScalar(tadOnlyShapeInfo))) {
#pragma omp parallel for schedule(guided) num_threads(num_threads) if (num_threads > 1) proc_bind(AFFINITY) default(shared)
for (int i = 0; i < resultLength; i++) {
T *iter = x + tadOffsets[i];
T start = startingValue(iter);
if (tadEWS == 1) {
for (int j = 0; j < tadLength; j++) {
start = update(start, op(iter[j], result[i]), extraParams);
}
}
else {
for (int j = 0; j < tadLength; j++) {
start = update(start, op(iter[j * tadEWS], result[i]), extraParams);
}
}
result[i] = postProcess(start, tadLength, &result[i]);
}
}
else {
auto tadShape = shape::shapeOf(tadOnlyShapeInfo);
auto tadStride = shape::stride(tadOnlyShapeInfo);
auto tadRank = shape::rank(tadOnlyShapeInfo);
#pragma omp parallel for schedule(guided) num_threads(num_threads) if (num_threads > 1) proc_bind(AFFINITY) default(shared)
for (int i = 0; i < resultLength; i++) {
auto offset = tadOffsets[i];
Nd4jLong xCoord[MAX_RANK];
T start = startingValue(x + offset);
for (int j = 0; j < tadLength; j++) {
shape::ind2subC(tadRank, tadShape, j, xCoord);
auto xOffset = shape::getOffset(offset, tadShape, tadStride, xCoord, tadRank);
start = update(start, op(x[xOffset], result[i]), extraParams);
}
result[i] = postProcess(start, tadLength, &result[i]);;
}
}
if (tad != nullptr)
delete tad;
}
};
}
#endif //LIBND4J_SPECIAL_ACCUMULATION_OPS_H
|
FourierTransform.h | #pragma once
#include <omp.h>
#include "ScalarField.h"
#include "Grid.h"
#ifdef __USE_FFT__
#include "fftw3.h"
#endif
namespace pfc
{
enum Field {
E, B, J
};
enum Coordinate {
x, y, z
};
enum FourierTransformDirection {
RtoC, CtoR
};
class FourierTransformGrid {
#ifdef __USE_FFT__
Int3 size;
fftw_plan plans[2][3][3]; // RtoC/CtoR, field, coordinate
ScalarField<FP>* realFields[3][3];
ScalarField<complexFP>* complexFields[3][3];
#endif
public:
#ifdef __USE_FFT__
FourierTransformGrid()
{
for (int f = 0; f < 3; f++)
for (int d = 0; d < 3; d++) {
plans[FourierTransformDirection::RtoC][f][d] = 0;
plans[FourierTransformDirection::CtoR][f][d] = 0;
}
}
template<typename GridTypes gridType>
void initialize(Grid<FP, gridType>* gridFP, Grid<complexFP, gridType>* gridCFP)
{
size = gridFP->numCells;
realFields[E][x] = &(gridFP->Ex), realFields[E][y] = &(gridFP->Ey), realFields[E][z] = &(gridFP->Ez);
realFields[B][x] = &(gridFP->Bx), realFields[B][y] = &(gridFP->By), realFields[B][z] = &(gridFP->Bz);
realFields[J][x] = &(gridFP->Jx), realFields[J][y] = &(gridFP->Jy), realFields[J][z] = &(gridFP->Jz);
complexFields[E][x] = &(gridCFP->Ex), complexFields[E][y] = &(gridCFP->Ey), complexFields[E][z] = &(gridCFP->Ez);
complexFields[B][x] = &(gridCFP->Bx), complexFields[B][y] = &(gridCFP->By), complexFields[B][z] = &(gridCFP->Bz);
complexFields[J][x] = &(gridCFP->Jx), complexFields[J][y] = &(gridCFP->Jy), complexFields[J][z] = &(gridCFP->Jz);
createPlans();
}
~FourierTransformGrid() {
destroyPlans();
}
void doDirectFourierTransform(Field field, Coordinate coord)
{
fftw_execute(plans[FourierTransformDirection::RtoC][field][coord]);
}
void doInverseFourierTransform(Field field, Coordinate coord)
{
fftw_execute(plans[FourierTransformDirection::CtoR][field][coord]);
ScalarField<FP>& res = *realFields[field][coord];
#pragma omp parallel for
for (int i = 0; i < size.x; i++)
for (int j = 0; j < size.y; j++)
//#pragma omp simd
for (int k = 0; k < size.z; k++)
res(i, j, k) /= (FP)size.x*size.y*size.z;
}
#else
FourierTransformGrid() {}
template<typename GridTypes gridType>
FourierTransformGrid(Grid<FP, gridType>* gridFP, Grid<complexFP, gridType>* gridCFP) {}
void doDirectFourierTransform(Field field, Coordinate coord) {}
void doInverseFourierTransform(Field field, Coordinate coord) {}
#endif
void doFourierTransform(Field field, Coordinate coord,
FourierTransformDirection direction)
{
switch (direction) {
case RtoC:
doDirectFourierTransform(field, coord);
break;
case CtoR:
doInverseFourierTransform(field, coord);
break;
default:
break;
}
}
private:
#ifdef __USE_FFT__
void createPlans()
{
int Nx = size.x, Ny = size.y, Nz = size.z;
for (int f = 0; f < 3; f++)
for (int d = 0; d < 3; d++) {
ScalarField<FP>& arrD = *(realFields[f][d]);
ScalarField<complexFP>& arrC = *(complexFields[f][d]);
#ifdef __USE_OMP__
fftw_plan_with_nthreads(omp_get_max_threads());
#endif
plans[FourierTransformDirection::RtoC][f][d] = fftw_plan_dft_r2c_3d(Nx, Ny, Nz,
&(arrD(0, 0, 0)), (fftw_complex*)&(arrC(0, 0, 0)), FFTW_ESTIMATE);
#ifdef __USE_OMP__
fftw_plan_with_nthreads(omp_get_max_threads());
#endif
plans[FourierTransformDirection::CtoR][f][d] = fftw_plan_dft_c2r_3d(Nx, Ny, Nz,
(fftw_complex*)&(arrC(0, 0, 0)), &(arrD(0, 0, 0)), FFTW_ESTIMATE);
}
}
void destroyPlans()
{
for (int f = 0; f < 3; f++)
for (int d = 0; d < 3; d++) {
if (plans[FourierTransformDirection::RtoC][f][d] != 0)
fftw_destroy_plan(plans[FourierTransformDirection::RtoC][f][d]);
if (plans[FourierTransformDirection::CtoR][f][d] != 0)
fftw_destroy_plan(plans[FourierTransformDirection::CtoR][f][d]);
}
}
#endif
};
class FourierTransform {
public:
#ifdef __USE_FFT__
static void doDirectFourierTransform(ScalarField<FP>& data, ScalarField<complexFP>& result)
{
fftw_plan plan = 0;
#ifdef __USE_OMP__
fftw_plan_with_nthreads(omp_get_max_threads());
#endif
plan = fftw_plan_dft_r2c_3d(data.getSize().x, data.getSize().y, data.getSize().z,
(FP*)&(data(0, 0, 0)), (fftw_complex*)&(result(0, 0, 0)), FFTW_ESTIMATE);
fftw_execute(plan);
fftw_destroy_plan(plan);
}
static void doInverseFourierTransform(ScalarField<complexFP>& data, ScalarField<FP>& result)
{
fftw_plan plan = 0;
#ifdef __USE_OMP__
fftw_plan_with_nthreads(omp_get_max_threads());
#endif
plan = fftw_plan_dft_c2r_3d(result.getSize().x, result.getSize().y, result.getSize().z,
(fftw_complex*)&(data(0, 0, 0)), (FP*)&(result(0, 0, 0)), FFTW_ESTIMATE);
fftw_execute(plan);
fftw_destroy_plan(plan);
#pragma omp parallel for
for (int i = 0; i < result.getSize().x; i++)
for (int j = 0; j < result.getSize().y; j++)
//#pragma omp simd
for (int k = 0; k < result.getSize().z; k++)
result(i, j, k) /= (FP)result.getSize().x*result.getSize().y*result.getSize().z;
}
#else
static void doDirectFourierTransform(ScalarField<FP>& data, ScalarField<complexFP>& result) {}
static void doInverseFourierTransform(ScalarField<complexFP>& data, ScalarField<FP>& result) {}
#endif
static void doFourierTransform(ScalarField<FP>& field1, ScalarField<complexFP>& field2,
FourierTransformDirection direction)
{
switch (direction) {
case RtoC:
doDirectFourierTransform(field1, field2);
break;
case CtoR:
doInverseFourierTransform(field2, field1);
break;
default:
break;
}
}
static Int3 getSizeOfComplex(const Int3& sizeOfFP)
{
return Int3(sizeOfFP.x, sizeOfFP.y, sizeOfFP.z / 2 + 1);
}
};
} |
optim_info.h | #ifndef OPTIM_INFO_H
#define OPTIM_INFO_H
#include <fstream>
#ifdef WINDOWS
#include <string>
#else
#include <cstring>
#endif
#include "../declare_structures.h"
/// Class OptimInfo
template<typename floating_type> class OptimInfo {
public:
typedef floating_type value_type;
typedef Vector<floating_type> col_type;
typedef INTM index_type;
typedef Vector<floating_type> element;
/// Constructor with existing data X of an nclass x m x n matrix
OptimInfo(floating_type* X, INTM nclass, INTM m, INTM n);
/// Constructor for a new m x n matrix
OptimInfo(INTM nclass, INTM m, INTM n);
/// Empty constructor
OptimInfo();
/// Destructor
virtual ~OptimInfo();
/// Accessors
/// Number of class
inline INTM nclass() const { return _nclass; };
/// Number of rows
inline INTM m() const { return _m; };
/// Number of columns
inline INTM n() const { return _n; };
/// size
inline INTM size() const { return _nclass*_n*_m; };
/// Return a modifiable reference to X(i,j,k)
inline floating_type& operator()(const INTM i, const INTM j, const INTM k);
/// Return the value X(i,j,k)
inline floating_type operator()(const INTM i, const INTM j, const INTM k) const;
/// Return a modifiable reference to X(i) (1D indexing)
inline floating_type& operator[](const INTM index) { return _X[index]; };
/// Return the value X(i) (1D indexing)
inline floating_type operator[](const INTM index) const { return _X[index]; };
/// Copy the column i into x
inline void copyCol(const INTM i, Vector<floating_type>& x) const;
/// make a copy of the OptimInfo optim in the current OptimInfo
inline void copy(const OptimInfo<floating_type>& optim);
/// Set all the values to zero
inline void setZeros();
/// Resize the optiminfo
inline void resize(INTM nclass,INTM m, INTM n, const bool set_zeros = true);
/// add alpha*optimInfo to the current matrix
inline void add(const OptimInfo<floating_type>& mat, const int index, const floating_type alpha = 1.0);
/// Change the data in the optimInfo
inline void setData(floating_type* X, INTM nclass, INTM m, INTM n);
/// Debugging function
/// Print the matrix to std::cout
inline void print(const std::string& name) const;
inline void dump(const std::string& name) const;
/// clear the vector
inline void clear();
typedef Vector<floating_type> col;
typedef Matrix<floating_type> mat;
static const bool is_sparse = false;
protected:
/// Forbid lazy copies
explicit OptimInfo<floating_type>(const OptimInfo<floating_type>& matrix);
/// Forbid lazy copies
OptimInfo<floating_type>& operator=(const OptimInfo<floating_type>& matrix);
/// is the data allocation external or not
bool _externAlloc;
/// pointer to the data
floating_type* _X;
/// number of class
INTM _nclass;
/// number of rows
INTM _m;
/// number of columns
INTM _n;
};
/* ************************************
* Implementation of the class OptimInfo
* ************************************/
/// Constructor with existing data X of an m x n OptimInfo
template <typename floating_type> OptimInfo<floating_type>::OptimInfo(floating_type* X, INTM nclass, INTM m, INTM n) :
_externAlloc(true), _X(X), _nclass(nclass), _m(m), _n(n) { };
/// Constructor for a new m x n OptimInfo
template <typename floating_type> OptimInfo<floating_type>::OptimInfo(INTM nclass, INTM m, INTM n) :
_externAlloc(false), _nclass(nclass), _m(m), _n(n) {
#pragma omp critical
{
_X= new floating_type[_nclass*_n*_m];
}
};
/// Empty constructor
template <typename floating_type> OptimInfo<floating_type>::OptimInfo() :
_externAlloc(false), _X(NULL), _nclass(0), _m(0), _n(0) { };
/// Destructor
template <typename floating_type> OptimInfo<floating_type>::~OptimInfo() {
clear();
};
/// Return a modifiable reference to X(i,j,k)
template <typename floating_type> inline floating_type& OptimInfo<floating_type>::operator()(const INTM i, const INTM j, const INTM k) {
return _X[i*_m*_n + k*_m+j];
};
/// Return the value X(i,j,k)
template <typename floating_type> inline floating_type OptimInfo<floating_type>::operator()(const INTM i, const INTM j, const INTM k) const {
return _X[i*_m*_n + k*_m+j];
};
/// Print the OptimInfo to std::cout
template <typename floating_type> inline void OptimInfo<floating_type>::print(const std::string& name) const {
logging(logERROR) << name;
logging(logERROR) << _m << " x " << _n;
for (INTM i = 0; i<_m; ++i) {
for (INTM j = 0; j<_n; ++j) {
for (INTM k = 0; k<_nclass; ++k) {
printf("%10.5g ",static_cast<double>(_X[i*_m*_n + k*_m+j]));
}
printf("\n ");
}
printf("\n ");
}
printf("\n ");
};
/// Print the OptimInfo to std::cout
template <typename floating_type> inline void OptimInfo<floating_type>::dump(const std::string& name) const {
std::ofstream f;
const char * cname = name.c_str();
f.open(cname);
f.precision(20);
logging(logERROR) << name;
f << _m << " x " << _n << std::endl;
for (INTM i = 0; i<_m; ++i) {
for (INTM j = 0; j<_n; ++j) {
for (INTM k = 0; k<_nclass; ++k) {
f << static_cast<double>(_X[i*_m*_n + k*_m+j]) << " ";
}
f << std::endl;
}
f << std::endl;
}
f << std::endl;
f.close();
};
/// Set all the values to zero
template <typename floating_type> inline void OptimInfo<floating_type>::setZeros() {
memset(_X,0,_nclass*_n*_m*sizeof(floating_type));
};
/// Resize the optimInfo
template <typename floating_type> inline void OptimInfo<floating_type>::resize(INTM nclass, INTM m, INTM n, const bool set_zeros) {
if (_nclass==nclass && _n==n && _m==m) return;
clear();
_nclass=nclass;
_n=n;
_m=m;
_externAlloc=false;
#pragma omp critical
{
_X=new floating_type[_nclass*_n*_m];
}
if (set_zeros)
setZeros();
};
/// Clear the optimInfo
template <typename floating_type> inline void OptimInfo<floating_type>::clear() {
if (!_externAlloc) delete[](_X);
_nclass=0;
_n=0;
_m=0;
_X=NULL;
_externAlloc=true;
};
/// make a copy of the optimInfo optim in the current optim
template <typename floating_type> inline void OptimInfo<floating_type>::copy(const OptimInfo<floating_type>& optim) {
if (_X != optim._X) {
resize(optim._nclass, optim._m,optim._n);
memcpy(_X,optim._X,_nclass*_m*_n*sizeof(floating_type));
}
};
/// Change the data in the optimInfo
template <typename floating_type> inline void OptimInfo<floating_type>::setData(floating_type* X, INTM nclass, INTM m, INTM n) {
clear();
_X=X;
_nclass=nclass;
_m=m;
_n=n;
_externAlloc=true;
};
/// add alpha*optim to the current optim info at a given index
template <typename floating_type> inline void OptimInfo<floating_type>::add(const OptimInfo<floating_type>& optim, const int index, const floating_type alpha) {
assert(optim._m == _m && optim._n == _n);
for (INTT i = 0; i<_m * _n; ++i){
//FIXME maybe slow
_X[index * _m * _n + i] += alpha*optim[i];
}
};
#endif |
GB_binop__rminus_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_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_fc32
// A.*B function (eWiseMult): GB_AemultB__rminus_fc32
// A*D function (colscale): GB_AxD__rminus_fc32
// D*A function (rowscale): GB_DxB__rminus_fc32
// C+=B function (dense accum): GB_Cdense_accumB__rminus_fc32
// C+=b function (dense accum): GB_Cdense_accumb__rminus_fc32
// C+=A+B function (dense ewise3): GB_Cdense_ewise3_accum__rminus_fc32
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__rminus_fc32
// C=scalar+B GB_bind1st__rminus_fc32
// C=scalar+B' GB_bind1st_tran__rminus_fc32
// C=A+scalar GB_bind2nd__rminus_fc32
// C=A'+scalar GB_bind2nd_tran__rminus_fc32
// C type: GxB_FC32_t
// A type: GxB_FC32_t
// B,b type: GxB_FC32_t
// BinaryOp: cij = GB_FC32_minus (bij, aij)
#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_FC32_minus (y, 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_RMINUS || GxB_NO_FC32 || GxB_NO_RMINUS_FC32)
//------------------------------------------------------------------------------
// 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_fc32
(
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_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__rminus_fc32
(
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__rminus_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
//------------------------------------------------------------------------------
GrB_Info GB_AxD__rminus_fc32
(
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
GxB_FC32_t *GB_RESTRICT Cx = (GxB_FC32_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_fc32
(
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 *GB_RESTRICT Cx = (GxB_FC32_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__rminus_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 *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__rminus_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 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__rminus_fc32
(
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
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_FC32_minus (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_fc32
(
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 ;
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_FC32_minus (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) \
{ \
GxB_FC32_t aij = Ax [pA] ; \
Cx [pC] = GB_FC32_minus (aij, x) ; \
}
GrB_Info GB_bind1st_tran__rminus_fc32
(
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 \
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_FC32_minus (y, aij) ; \
}
GrB_Info GB_bind2nd_tran__rminus_fc32
(
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
GxB_FC32_t y = (*((const GxB_FC32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
TriOP.h | #ifndef TRIOP_H_
#define TRIOP_H_
/*
* TriOP.h:
* a simple feed forward neural operation, triple input.
*
* Created on: June 11, 2017
* Author: mszhang
*/
#include "Param.h"
#include "MyLib.h"
#include "Node.h"
#include "Graph.h"
class TriParams {
public:
Param W1;
Param W2;
Param W3;
Param b;
bool bUseB;
public:
TriParams() {
bUseB = true;
}
inline void exportAdaParams(ModelUpdate& ada) {
ada.addParam(&W1);
ada.addParam(&W2);
ada.addParam(&W3);
if (bUseB) {
ada.addParam(&b);
}
}
inline void initial(int nOSize, int nISize1, int nISize2, int nISize3, bool useB = true) {
W1.initial(nOSize, nISize1);
W2.initial(nOSize, nISize2);
W3.initial(nOSize, nISize3);
bUseB = useB;
if (bUseB) {
b.initial(nOSize, 1);
}
}
inline void save(std::ofstream &os) const {
os << bUseB << std::endl;
W1.save(os);
W2.save(os);
W3.save(os);
if (bUseB) {
b.save(os);
}
}
inline void load(std::ifstream &is) {
is >> bUseB;
W1.load(is);
W2.load(is);
W3.load(is);
if (bUseB) {
b.load(is);
}
}
};
// non-linear feed-forward node
// input nodes should be specified by forward function
// for input variables, we exploit column vector,
// which means a concrete input vector x_i is represented by x(0, i), x(1, i), ..., x(n, i)
class TriNode : public Node {
public:
PNode in1, in2, in3;
TriParams* param;
dtype(*activate)(const dtype&); // activation function
dtype(*derivate)(const dtype&, const dtype&); // derivation function of activation function
Tensor1D ty, lty;
public:
TriNode() : Node() {
in1 = in2 = in3 = NULL;
activate = ftanh;
derivate = dtanh;
param = NULL;
node_type = "tri";
}
~TriNode() {
in1 = in2 = in3 = NULL;
}
inline void init(int ndim, dtype dropout) {
Node::init(ndim, dropout);
ty.init(ndim);
lty.init(ndim);
}
inline void setParam(TriParams* paramInit) {
param = paramInit;
}
inline void clearValue() {
Node::clearValue();
in1 = in2 = in3 = NULL;
ty = 0;
lty = 0;
}
// define the activate function and its derivation form
inline void setFunctions(dtype(*f)(const dtype&), dtype(*f_deri)(const dtype&, const dtype&)) {
activate = f;
derivate = f_deri;
}
public:
void forward(Graph *cg, PNode x1, PNode x2, PNode x3) {
in1 = x1;
in2 = x2;
in3 = x3;
degree = 0;
in1->addParent(this);
in2->addParent(this);
in3->addParent(this);
cg->addNode(this);
}
public:
inline void compute() {
ty.mat() = param->W1.val.mat() * in1->val.mat() + param->W2.val.mat() * in2->val.mat() + param->W3.val.mat() * in3->val.mat();
if (param->bUseB) {
ty.vec() += param->b.val.vec();
}
val.vec() = ty.vec().unaryExpr(ptr_fun(activate));
}
inline void backward() {
lty.vec() = loss.vec() * ty.vec().binaryExpr(val.vec(), ptr_fun(derivate));
param->W1.grad.mat() += lty.mat() * in1->val.tmat();
param->W2.grad.mat() += lty.mat() * in2->val.tmat();
param->W3.grad.mat() += lty.mat() * in3->val.tmat();
if (param->bUseB) {
param->b.grad.vec() += lty.vec();
}
in1->loss.mat() += param->W1.val.mat().transpose() * lty.mat();
in2->loss.mat() += param->W2.val.mat().transpose() * lty.mat();
in3->loss.mat() += param->W3.val.mat().transpose() * lty.mat();
}
public:
inline PExecute generate(bool bTrain, dtype cur_drop_factor);
// better to rewrite for deep understanding
inline bool typeEqual(PNode other) {
bool result = Node::typeEqual(other);
if (!result) return false;
TriNode* conv_other = (TriNode*)other;
if (param != conv_other->param) {
return false;
}
if (activate != conv_other->activate || derivate != conv_other->derivate) {
return false;
}
return true;
}
};
// non-linear feed-forward node
// input nodes should be specified by forward function
// for input variables, we exploit column vector,
// which means a concrete input vector x_i is represented by x(0, i), x(1, i), ..., x(n, i)
class LinearTriNode : public Node {
public:
PNode in1, in2, in3;
TriParams* param;
public:
LinearTriNode() : Node() {
in1 = in2 = in3 = NULL;
param = NULL;
node_type = "linear_tri";
}
inline void setParam(TriParams* paramInit) {
param = paramInit;
}
inline void clearValue() {
Node::clearValue();
in1 = in2 = in3 = NULL;
}
public:
void forward(Graph *cg, PNode x1, PNode x2, PNode x3) {
in1 = x1;
in2 = x2;
in3 = x3;
degree = 0;
in1->addParent(this);
in2->addParent(this);
in3->addParent(this);
cg->addNode(this);
}
public:
inline void compute() {
val.mat() = param->W1.val.mat() * in1->val.mat() + param->W2.val.mat() * in2->val.mat() + param->W3.val.mat() * in3->val.mat();
if (param->bUseB) {
val.vec() += param->b.val.vec();
}
}
inline void backward() {
param->W1.grad.mat() += loss.mat() * in1->val.tmat();
param->W2.grad.mat() += loss.mat() * in2->val.tmat();
param->W3.grad.mat() += loss.mat() * in3->val.tmat();
if (param->bUseB) {
param->b.grad.vec() += loss.vec();
}
in1->loss.mat() += param->W1.val.mat().transpose() * loss.mat();
in2->loss.mat() += param->W2.val.mat().transpose() * loss.mat();
in3->loss.mat() += param->W3.val.mat().transpose() * loss.mat();
}
public:
inline PExecute generate(bool bTrain, dtype cur_drop_factor);
// better to rewrite for deep understanding
inline bool typeEqual(PNode other) {
bool result = Node::typeEqual(other);
if (!result) return false;
LinearTriNode* conv_other = (LinearTriNode*)other;
if (param != conv_other->param) {
return false;
}
return true;
}
};
class TriExecute :public Execute {
public:
bool bTrain;
public:
inline void forward() {
int count = batch.size();
//#pragma omp parallel for
for (int idx = 0; idx < count; idx++) {
batch[idx]->compute();
batch[idx]->forward_drop(bTrain, drop_factor);
}
}
inline void backward() {
int count = batch.size();
//#pragma omp parallel for
for (int idx = 0; idx < count; idx++) {
batch[idx]->backward_drop();
batch[idx]->backward();
}
}
};
inline PExecute TriNode::generate(bool bTrain, dtype cur_drop_factor) {
TriExecute* exec = new TriExecute();
exec->batch.push_back(this);
exec->bTrain = bTrain;
exec->drop_factor = cur_drop_factor;
return exec;
};
class LinearTriExecute :public Execute {
public:
bool bTrain;
public:
inline void forward() {
int count = batch.size();
//#pragma omp parallel for
for (int idx = 0; idx < count; idx++) {
batch[idx]->compute();
batch[idx]->forward_drop(bTrain, drop_factor);
}
}
inline void backward() {
int count = batch.size();
//#pragma omp parallel for
for (int idx = 0; idx < count; idx++) {
batch[idx]->backward_drop();
batch[idx]->backward();
}
}
};
inline PExecute LinearTriNode::generate(bool bTrain, dtype cur_drop_factor) {
LinearTriExecute* exec = new LinearTriExecute();
exec->batch.push_back(this);
exec->bTrain = bTrain;
exec->drop_factor = cur_drop_factor;
return exec;
};
#endif /* TRIOP_H_ */
|
testrun_tools.c | /***
------------------------------------------------------------------------
Copyright 2018 Markus Toepfer
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.
------------------------------------------------------------------------
*//**
@file testrun_tools.c
@author Markus Toepfer
@date 2018-07-10
@ingroup testrun_lib
@brief Standard implementation of all required testrun tools.
------------------------------------------------------------------------
*/
#include "../include/testrun_tools.h"
/*
* ------------------------------------------------------------------------
*
* SHELL header
*
* this constant string will be used to generate the default SHELL header
* of the testrun scripts.
*
* ------------------------------------------------------------------------
*/
static const char *bash_header =
"#!/usr/bin/env bash\n"
"#\n"
"# Copyright 2017 Markus Toepfer\n"
"#\n"
"# Licensed under the Apache License, Version 2.0 (the \"License\");\n"
"# you may not use this file except in compliance with the License.\n"
"# You may obtain a copy of the License at\n"
"#\n"
"# http://www.apache.org/licenses/LICENSE-2.0\n"
"#\n"
"# Unless required by applicable law or agreed to in writing, software\n"
"# distributed under the License is distributed on an \"AS IS\" BASIS,\n"
"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n"
"# See the License for the specific language governing permissions and\n"
"# limitations under the License.\n"
"#\n"
"# ------------------------------------------------------------------------\n";
/*
* ------------------------------------------------------------------------
*
* C header file #TESRUN_HEADER
*
* this constant string will be used to generate
* testrun.h
*
* ------------------------------------------------------------------------
*/
static const char *testrun_header =
"/***\n"
" ------------------------------------------------------------------------\n"
"\n"
" Copyright 2017 Markus Toepfer\n"
"\n"
" Licensed under the Apache License, Version 2.0 (the \"License\");\n"
" you may not use this file except in compliance with the License.\n"
" You may obtain a copy of the License at\n"
"\n"
" http://www.apache.org/licenses/LICENSE-2.0\n"
"\n"
" Unless required by applicable law or agreed to in writing, software\n"
" distributed under the License is distributed on an \"AS IS\" BASIS,\n"
" WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n"
" See the License for the specific language governing permissions and\n"
" limitations under the License.\n"
"\n"
" This file is part of the testrun project. http://testrun.info\n"
"\n"
" ------------------------------------------------------------------------\n"
"*//**\n"
"\n"
" @file testrun.h\n"
" @author Markus Toepfer\n"
" @date 2017-11-24\n"
"\n"
" @brief Simple serial test execution framework.\n"
"\n"
" NOTE This framework uses an alternative to assert based\n"
" testing, which is compatible with parallel\n"
" test execution of @see testrun2.h. So this header is\n"
" replacable with testrun2.h for parallel test setup,\n"
" without replacing any written testcase.\n"
"\n"
" (Assert.h is not included, to force to write testrun2.h\n"
" compatible tests by default)\n"
"\n"
" ------------------------------------------------------------------------\n"
"*/\n"
"\n"
"#ifndef testrun_h\n"
"#define testrun_h\n"
"\n"
"#include <unistd.h> /* C89/C90 */\n"
"#include <stdlib.h> /* C89/C90 */\n"
"#include <stdio.h> /* C89/C90 */\n"
"#include <string.h> /* C89/C90 */\n"
"#include <errno.h> /* C89/C90 */\n"
"#include <time.h> /* C89/C90 */\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" String error initialization of no error.\n"
"*/\n"
"#define testrun_errno() \\\n"
" (errno == 0 ? \"NONE\" : strerror(errno))\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Log a failure. Failure: Inability to perform a function as expected.\n"
"*/\n"
"#define testrun_log_failure(msg, ...) \\\n"
" fprintf(stderr, \"\\t[FAIL]\\t%s line:%d errno:%s message: \" msg \"\\n\",\\\n"
" __FUNCTION__, __LINE__, testrun_errno(), ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Log an error. Error: Difference between expected and actual result.\n"
"*/\n"
"#define testrun_log_error(msg, ...) \\\n"
" fprintf(stderr, \"\\t[ERROR]\\t%s line:%d errno:%s message: \" msg \"\\n\",\\\n"
" __FUNCTION__, __LINE__, testrun_errno(), ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_log_success(msg, ...) \\\n"
" fprintf(stdout, \"\\t[OK] \\t%s \" msg \"\\n\", __FUNCTION__, ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_log(msg, ...) \\\n"
" fprintf(stdout, \"\\t\" msg \"\\n\", ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_log_function_info(msg, ...) \\\n"
" fprintf(stdout, \"\\t[INFO] \\t%s line:%d message: \" msg \"\\n\", \\\n"
" __FUNCTION__, __LINE__, ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_log_clock(start, end) \\\n"
" fprintf(stdout, \"\\tClock ticks function: ( %s ) | %f s | %.0f ms \\n\", \\\n"
" __func__, \\\n"
" ((double)(end - start)) / CLOCKS_PER_SEC, \\\n"
" (((double)(end - start)) / CLOCKS_PER_SEC ) * 1000)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_init() \\\n"
" int result = 0; \\\n"
" int testrun_counter = 0;\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Run a single atomar test. Return the surrounding block on error.\n"
" This function will leave the context block running on error. The\n"
" Mindset is a defused assert. LEAVE THE FUNCTION NOT THE PROGRAM.\n"
"\n"
" @param test boolean decision input.\n"
" @returns the calling function on error with -1\n"
"*/\n"
"#define testrun_check(test, ... )\\\n"
" if (!(test)) { testrun_log_error(__VA_ARGS__); return -1;}\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Alias to @see testrun_check.\n"
"*/\n"
"#define testrun(test, ...)\\\n"
" testrun_check(test, __VA_ARGS__ )\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/*--------------- For EXAMPLE code check http://testrun.info -----------------*/\n"
"/**\n"
" Run a single test (execute a function pointer. Runs a test function.\n"
" On non negative return value of the function run, a testrun_counter\n"
" is increased, on negative result, the negative result will be returned.\n"
"\n"
" @param test function pointer of the test to run\n"
" @NOTE The surrounding block is left on negative result of the\n"
" function pointer execution.\n"
"*/\n"
"#define testrun_test(test)\\\n"
" result = test(); testrun_counter++; if (result < 0) return result;\n"
"\n"
"/**\n"
" Runs a function pointer, which SHALL contain the test function pointers\n"
" to run. The function pointer is wrapped in a main procedure, which and\n"
" allows indepentent testruns of the input testcluster over external\n"
" execution.\n"
"\n"
" A clock will be started, as soon as the main is executed and the the\n"
" time is stopped again, at the end of the execution. The difference\n"
" will be printed and is the runtime of the whole input testcluster.\n"
"\n"
" A run will fail, as soon as one of the tests in the testcluster fails.\n"
" (Fail on first) or will run all functions dependent on the testsetup.\n"
"\n"
" @param testcluster function pointer to be executed.\n"
"*/\n"
"#define testrun_run(testcluster) int main(int argc, char *argv[]) {\\\n"
" argc = argc;\\\n"
" clock_t start1_t, end1_t; \\\n"
" start1_t = clock(); \\\n"
" testrun_log(\"\\ntestrun\\t%s\", argv[0]);\\\n"
" int64_t result = testcluster();\\\n"
" if (result > 0) \\\n"
" testrun_log(\"ALL TESTS RUN (%jd tests)\", result);\\\n"
" end1_t = clock(); \\\n"
" testrun_log_clock(start1_t, end1_t); \\\n"
" testrun_log(\"\");\\\n"
" result >=0 ? exit(EXIT_SUCCESS) : exit(EXIT_FAILURE); \\\n"
"}\n"
"\n"
"/** -----------------------------------------------------------------------\n"
"\n"
" @example testrun_base_example.c\n"
" @author Markus Toepfer\n"
" @date 2017-11-24\n"
"\n"
" @brief Example test file using testrun.h\n"
"\n"
" This example shows the test style for testing with testrun.h and is\n"
" build around the testrun_test() macro, which increases a counter which\n"
" MUST be initialized in a testcluster function.\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" @code\n"
" #include \"../tools/testrun.h\"\n"
"\n"
" int example_function() {\n"
" return 1;\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int test_function1() {\n"
"\n"
" // use of testrun_check() for evaluation\n"
" testrun_check(1 == 1);\n"
" testrun_check(1 == 1, \"some additional information\");\n"
"\n"
" // use of testrun() for evaluation\n"
" testrun(1 == 1);\n"
" testrun(1 == 1, \"some additional information\");\n"
"\n"
" // use of manual evaluation and logging\n"
" if (1 != example_function()){\n"
" testrun_log_error(\"some additional information.\");\n"
" return -1;\n"
" }\n"
"\n"
" // will not be reached in case of error\n"
" return testrun_log_success();\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int test_function2() {\n"
"\n"
" testrun_check(1 == 1);\n"
" return testrun_log_success();\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int test_function3() {\n"
"\n"
" testrun_check(1 == 1);\n"
" return testrun_log_success();\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int testcase_cluster() {\n"
"\n"
" testrun_init();\n"
"\n"
" testrun_test(test_function1);\n"
" testrun_test(test_function2);\n"
" testrun_test(test_function3);\n"
"\n"
" return testrun_counter;\n"
"\n"
" }\n"
"\n"
" testrun_run(testcase_cluster);\n"
" @endcode\n"
"\n"
"*/\n"
"\n"
"#endif /* testrun_h */\n";
/*
* ------------------------------------------------------------------------
*
* C header file #OPENMP_HEADER
*
* this constant string will be used to generate
* the testrun_openmp.h
*
* ------------------------------------------------------------------------
*/
static const char *testrun_header_openmp =
"/***\n"
" ------------------------------------------------------------------------\n"
"\n"
" Copyright 2017 Markus Toepfer\n"
"\n"
" Licensed under the Apache License, Version 2.0 (the \"License\");\n"
" you may not use this file except in compliance with the License.\n"
" You may obtain a copy of the License at\n"
"\n"
" http://www.apache.org/licenses/LICENSE-2.0\n"
"\n"
" Unless required by applicable law or agreed to in writing, software\n"
" distributed under the License is distributed on an \"AS IS\" BASIS,\n"
" WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n"
" See the License for the specific language governing permissions and\n"
" limitations under the License.\n"
"\n"
" This file is part of the testrun project. http://testrun.info\n"
"\n"
" ------------------------------------------------------------------------\n"
" *//**\n"
"\n"
" @file testrun_openmp.h\n"
" @author Markus Toepfer\n"
" @date 2017-11-17\n"
"\n"
" @brief Serial and parallel test executing framework with or\n"
" without assertion based testing.\n"
"\n"
" This is an enhanced and compatible version of the initial idea of an\n"
" small and simple C89 compatible C unittest header (@see testrun.h)\n"
"\n"
" For parallel test runs, this framework makes use of OpenMP. Therefore\n"
" the code MUST be compiled with -fopenmp, otherwise the code will stay\n"
" unparallel and execution sequential.\n"
"\n"
" @NOTE to use all provided functionality of the header, tests SHOULD be\n"
" compiled using:\n"
"\n"
" -fopenmp (parallel execution) and\n"
" -rdynamic (function name backtracing)\n"
"\n"
" @NOTE Valgrind based file execution in libomp based OpenMP scenarios\n"
" may not work, @see docs/valgrind/openMP/README.MD for additional\n"
" information.\n"
"\n"
" ------------------------------------------------------------------------\n"
" */\n"
"\n"
"#ifndef testrun_openmp_h\n"
"#define testrun_openmp_h\n"
"\n"
"#include <omp.h> /* OpenMP parallel (part of GCC, Clang/LLVM) */\n"
"\n"
"#include <stdbool.h> /* C99 */\n"
"#include <stdint.h> /* C99 */\n"
"\n"
"#include <unistd.h> /* C89/C90 */\n"
"#include <stdlib.h> /* C89/C90 */\n"
"#include <stdio.h> /* C89/C90 */\n"
"#include <string.h> /* C89/C90 */\n"
"#include <errno.h> /* C89/C90 */\n"
"#include <time.h> /* C89/C90 */\n"
"#include <assert.h> /* C89/C90 */\n"
"\n"
"#if defined(__GLIBC__)\n"
"#include <execinfo.h> /* Gnulib backtrace of function pointer names */\n"
"#endif\n"
"\n"
"#define TESTRUN_DEFAULT_CLUSTER_MAX 1000\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Error initialization of none error.\n"
"*/\n"
"#define testrun_errno() \\\n"
" (errno == 0 ? \"NONE\" : strerror(errno))\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Log a failure. Failure: Inability to perform a function as expected.\n"
"*/\n"
"#define testrun_log_failure(msg, ...) \\\n"
" fprintf(stderr, \"\\t[FAIL]\\t%s line:%d errno:%s message: \" msg \"\\n\",\\\n"
" __FUNCTION__, __LINE__, testrun_errno(), ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Log an error. Error: Difference between expected and actual result.\n"
"*/\n"
"#define testrun_log_error(msg, ...) \\\n"
" fprintf(stderr, \"\\t[ERROR]\\t%s line:%d errno:%s message: \" msg \"\\n\",\\\n"
" __FUNCTION__, __LINE__, testrun_errno(), ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_log_success(msg, ...) \\\n"
" fprintf(stdout, \"\\t[OK] \\t%s \" msg \"\\n\", __FUNCTION__, ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_log(msg, ...) \\\n"
" fprintf(stdout, \"\\t\" msg \"\\n\", ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_log_function_info(msg, ...) \\\n"
" fprintf(stdout, \"\\t[INFO] \\t%s line:%d message: \" msg \"\\n\", \\\n"
" __FUNCTION__, __LINE__, ##__VA_ARGS__)\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_log_clock(start, end) \\\n"
" fprintf(stdout, \"\\tClock ticks function: ( %s ) | %f | %.0f ms \\n\",\\\n"
" __func__, \\\n"
" ((double)(end - start)) / CLOCKS_PER_SEC, \\\n"
" (((double)(end - start)) / CLOCKS_PER_SEC ) * 1000)\n"
"\n"
"/*----------------------------------------------------------------------------\n"
" *\n"
" * Block of supporting MACROS for assert based testing.\n"
" *\n"
" * Assert based testing is build around the principle to bundle and\n"
" * define some testcases, which will be run in series.\n"
" * Within the testcases testrun_assert(), or assert() may be used to\n"
" * stop testing.\n"
" *\n"
" * -----------------------------------------------------------------\n"
" *\n"
" * Example usage:\n"
" *\n"
" * int testcase1_function(){\n"
" * assert(true);\n"
" * return testrun_log_success();\n"
" * }\n"
" *\n"
" * int testcase1_function(){\n"
" * testrun_assert(true, \"additional info an failure.\");\n"
" * return testrun_log_success();\n"
" * }\n"
" *\n"
" * int testseries() {\n"
" *\n"
" * testrun_init();\n"
" *\n"
" * testrun_test(testcase1_function);\n"
" * testrun_test(testcase2_function);\n"
" *\n"
" * return testrun_counter;\n"
" * }\n"
" *\n"
" * testrun_run(testseries);\n"
" *\n"
" *----------------------------------------------------------------------------*/\n"
"\n"
"#define testrun_init() \\\n"
" int result = 0; \\\n"
" int testrun_counter = 0;\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Wrapper around assert, which adds a message level to assert, to provide\n"
" additional and related information e.g. a failure description.\n"
"\n"
" @param test an actual test case e.g. (1 == 0)\n"
" @param message additional message to log e.g. \"Failure: 1 is not one\"\n"
"*/\n"
"#define testrun_assert(test, ... )\\\n"
" if (!(test)) { testrun_log_error(__VA_ARGS__); assert(test); }\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Run a single test (execute a function pointer. Runs a test function.\n"
" On non negative return value of the function run, a testrun_counter\n"
" is increased, on negative result, the negative result will be returned.\n"
"\n"
" @param test function pointer of the test to run\n"
" @NOTE The surrounding block is left on negative result of the\n"
" function pointer execution.\n"
"*/\n"
"#define testrun_test(test)\\\n"
" result = test(); testrun_counter++; if (result < 0) return result;\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Runs a function pointer, which SHALL contain the test function pointers\n"
" to run. The function pointer is wrapped in a main procedure, which and\n"
" allows indepentent testruns of the input testcluster over external\n"
" execution.\n"
"\n"
" A clock will be started, as soon as the main is executed and the the\n"
" time is stopped again, at the end of the execution. The difference\n"
" will be printed and is the runtime of the whole input testcluster.\n"
"\n"
" A run will fail, as soon as one of the tests in the testcluster fails.\n"
" (Fail on first) or will run all functions dependent on the testsetup.\n"
"\n"
" @param testcluster function pointer to be executed.\n"
"*/\n"
"#define testrun_run(testcluster) int main(int argc, char *argv[]) {\\\n"
" argc = argc;\\\n"
" clock_t start1_t, end1_t; \\\n"
" start1_t = clock(); \\\n"
" testrun_log(\"\\ntestrun\\t%s\", argv[0]);\\\n"
" int64_t result = testcluster();\\\n"
" if (result > 0) \\\n"
" testrun_log(\"ALL TESTS RUN (%jd tests)\", result);\\\n"
" end1_t = clock(); \\\n"
" testrun_log_clock(start1_t, end1_t); \\\n"
" testrun_log(\"\");\\\n"
" result >= 0 ? exit(EXIT_SUCCESS) : exit(EXIT_FAILURE); \\\n"
"}\n"
"\n"
"/*----------------------------------------------------------------------------\n"
" *\n"
" * Block of supporting MACROS an inline functions for sequntial and\n"
" * parallel testing. Most of the functionality is realted to configure\n"
" * testseries for parallel and/or sequential runs. Which functions may\n"
" * be run as parallel tests or sequential tests, is up to the test\n"
" * developer.\n"
" *\n"
" * This type of testing is highly customizable and may be adapted\n"
" * and customized by each test module implementation.\n"
" *\n"
" * -----------------------------------------------------------------\n"
" *\n"
" * An implementation MUST to support the testrun_fun_tests() function\n"
" * is the implementation of the configure functions. These functions\n"
" * define, which testseries may be run in parallel and which sequential.\n"
" *\n"
" * bool testrun_configure_parallel(\n"
" * int (*testcases[])(),\n"
" * size_t * const start,\n"
" * size_t const * const max);\n"
" *\n"
" * as well as\n"
" *\n"
" * bool testrun_configure_sequential(\n"
" * int (*testcases[])(),\n"
" * size_t * const start,\n"
" * size_t const * const max);\n"
" *\n"
" * -----------------------------------------------------------------\n"
" *\n"
" * Example usage:\n"
" *\n"
" * int testcase1_function(){\n"
" * testrun(true);\n"
" * return testrun_log_success();\n"
" * }\n"
" *\n"
" * int testcase1_function(){\n"
" * testrun(true, \"additional info an failure.\");\n"
" * return testrun_log_success();\n"
" * }\n"
" *\n"
" * int64_t testseries(int(*tests[])(), size_t slot, size_t max) {\n"
" *\n"
" * testrun_init();\n"
" *\n"
" * testrun_add(testcase1_function);\n"
" * testrun_add(testcase2_function);\n"
" *\n"
" * return testrun_counter;\n"
" * }\n"
" *\n"
" * -----------------------------------------------------------------\n"
" *\n"
" * NOTE: Here we configure a testseries to be run sequential and parallel\n"
" *\n"
" * bool testrun_configure_parallel(\n"
" * int (*testcases[])(),\n"
" * size_t * const start,\n"
" * size_t const * const max){\n"
" *\n"
" * if (testrun_add_testcases(testcases,start,end,testseries) < 0)\n"
" * return false;\n"
" *\n"
" * return true;\n"
" *\n"
" * bool testrun_configure_sequential(\n"
" * int (*testcases[])(),\n"
" * size_t * const start,\n"
" * size_t const * const max){\n"
" *\n"
" * if (testrun_add_testcases(testcases,start,end,testseries) < 0)\n"
" * return false;\n"
" *\n"
" * return true;\n"
" *\n"
" * -----------------------------------------------------------------\n"
" *\n"
" * NOTE: This last function definition is needed to configure the\n"
" * maximum amount of parallel and sequential tests as parameters\n"
" * instead of a predefinition.\n"
" *\n"
" * int64_t run_tests(){\n"
" * return testrun_run_tests(1000,1000,false);\n"
" * }\n"
" *\n"
" * testrun_run(run_tests);\n"
" *\n"
" *----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" MUST be implemented to configure parallel tests.\n"
"\n"
" @param testcases array of function pointers\n"
" @param start first slot the be used in testcases\n"
" @param max maximum slots of testcases (last slot to be set)\n"
" @returns true on success, false on errror\n"
"*/\n"
"bool testrun_configure_parallel(\n"
" int (*testcases[])(),\n"
" size_t * const start,\n"
" size_t const * const max);\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" MUST be implemented to configure sequential tests.\n"
"\n"
" @param testcases array of function pointers\n"
" @param start first slot the be used in testcases\n"
" @param max maximum slots of testcases (last slot to be set)\n"
" @returns true on success, false on errror\n"
"*/\n"
"bool testrun_configure_sequential(\n"
" int (*testcases[])(),\n"
" size_t * const start,\n"
" size_t const * const max);\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Run a single atomar test. Return the surrounding block on error.\n"
" This function will leave the context block running on error. The\n"
" Mindset is a defused assert. LEAVE THE FUNCTION NOT THE PROGRAM.\n"
"\n"
" @param test Boolean decision input.\n"
"*/\n"
"#define testrun_check(test, ... )\\\n"
" if (!(test)) { testrun_log_error(__VA_ARGS__); return -1;}\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Alias to @see testrun_check.\n"
"*/\n"
"#define testrun(test, ...)\\\n"
" testrun_check(test, __VA_ARGS__ )\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Add a new test to the tests array. This is a convinience function\n"
" to add a function pointer to the array tests[]. This MACRO uses\n"
" block variables **slot**, **testrun_counter**, **max** and **tests[]**.\n"
"\n"
" @param test function pointer to a new test to be added.\n"
"*/\n"
"#define testrun_add(test) \\\n"
" if (slot + testrun_counter == max) { \\\n"
" testrun_log_failure(\"All test slots filled, \" \\\n"
" \"check config TESTS[MAX].\"); \\\n"
" if (testrun_counter == 0) \\\n"
" return -1; \\\n"
" return -testrun_counter; \\\n"
" } else { \\\n"
" tests[slot + testrun_counter] = test; \\\n"
" testrun_counter++; \\\n"
" }\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Array initialization to point to NULL.\n"
"\n"
" @param array array to be initialized\n"
" @param start first item to set to NULL\n"
" @param end last item to set to NULL\n"
"*/\n"
"#define testrun_init_testcases(array, start, end, ...) \\\n"
" for (size_t i = start; i < end; i++ ) { array[i] = NULL; }\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Add some test cases to a testcase function pointer array, using\n"
" a user provided function to add the testcases.\n"
"\n"
" Function will log the result of testcases added.\n"
"\n"
" @param tests pointer to function pointer array\n"
" @param last pointer to counter of last set item\n"
" @param max pointer to value of max items\n"
" @param function function to add the tests to the array\n"
"\n"
" @returns negative count of testcases to add\n"
" positive count of added testcases\n"
" */\n"
"static inline int64_t testrun_add_testcases(\n"
" int (*tests[])(),\n"
" size_t * const last,\n"
" size_t const * const max,\n"
" int64_t (*function)(int (*tests[])(), size_t, size_t)){\n"
"\n"
" if (!tests || !function || !last || !max)\n"
" return -1;\n"
"\n"
" if (*last > *max)\n"
" return -1;\n"
"\n"
" int64_t r = 0;\n"
"\n"
" r = function(tests, *last, *max);\n"
"\n"
" if (r < 0) {\n"
"\n"
" // reinit all from last to end to NULL\n"
" testrun_init_testcases(tests, *last, *max);\n"
"\n"
" testrun_log_failure(\n"
" \"Failed to add tests to TESTS[] \"\n"
" \"(usage %jd/%jd)\",\n"
" *last, *max);\n"
"\n"
" return -1;\n"
"\n"
" } else {\n"
"\n"
" *last += r;\n"
" testrun_log_function_info(\n"
" \"added %jd tests to TESTS[]\"\n"
" \"(usage %jd/%jd)\",\n"
" r, *last, *max);\n"
" }\n"
"\n"
" return r;\n"
"\n"
"}\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Dumb the test cases to stdout.\n"
"\n"
" To enable a backtrace with names, the file MUST be compiled with\n"
" MODCFLAGS += -rdynamic\n"
"\n"
" @param function pointer to function pointer array\n"
" @param items amount of items in functions\n"
" @param names bool to try to backtrace names\n"
" @returns negative count of failed tests\n"
" positive count of run tests otherwise\n"
" */\n"
"static inline bool testrun_dump_testcases(\n"
" int (*functions[])(),\n"
" size_t max,\n"
" bool names) {\n"
"\n"
" if (!functions || max < 1)\n"
" return false;\n"
"\n"
" void *pointer = NULL;\n"
"\n"
" // dump is formated to fit to standard header log and to dump 20 digits\n"
" fprintf(stdout, \"\\t[DUMP]\\ttestcases tests[%jd]\\n\", max);\n"
" if (names){\n"
" #if defined(__GLIBC__)\n"
" fprintf(stdout, \"\\t[DUMP]\\t ... try to backtrace\\n\");\n"
" #else\n"
" fprintf(stdout, \"\\t[DUMP]\\t ... names not implemented\\n\");\n"
" #endif\n"
" }\n"
"\n"
" for (size_t i = 0; i < max; i++) {\n"
"\n"
" pointer = (void*) functions[i];\n"
"\n"
" if (names) {\n"
" #if defined(__GLIBC__)\n"
" backtrace_symbols_fd(&pointer, 1, STDOUT_FILENO);\n"
" #else\n"
" // fallback to printf\n"
" fprintf(stdout, \"%20jd %p \\n\", i, pointer);\n"
" #endif\n"
" } else {\n"
" fprintf(stdout, \" %20jd %p \\n\", i, pointer);\n"
" }\n"
"\n"
" }\n"
"\n"
" return true;\n"
"}\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Run a bunch of tests in parallel. This will run all configured\n"
" tests independently and return the result of the test batch,\n"
" once all tests are done.\n"
"\n"
" A clock of the batch runtime will be logged in addition to the\n"
" result of the testrun.\n"
"\n"
" @param function pointer to function pointer array\n"
" @param items amount of items in functions\n"
" @returns negative count of failed tests\n"
" positive count of run tests otherwise\n"
" */\n"
"static inline int64_t testrun_parallel(\n"
" int (*functions[])(),\n"
" size_t items) {\n"
"\n"
" if (!functions || items < 1)\n"
" return 0;\n"
"\n"
" if (items > INT64_MAX )\n"
" return 0;\n"
"\n"
" int64_t c_OK = 0;\n"
" int64_t c_NOK = 0;\n"
"\n"
" clock_t start, end;\n"
" start = clock();\n"
"\n"
" int nthreads = 0, tid = 0;\n"
"\n"
"\n"
" /*\n"
" * Use this if you want to reduce or set the number of threads\n"
" *\n"
" * omp_set_dynamic(0);\n"
" * omp_set_num_threads(1);\n"
" */\n"
"\n"
" #pragma omp parallel for\n"
" for (size_t i = 0; i < items; i++){\n"
"\n"
" if (nthreads == 0){\n"
" tid = omp_get_thread_num();\n"
" if (tid == 0)\n"
" nthreads = omp_get_num_threads();\n"
" }\n"
"\n"
" if (functions[i] != 0) {\n"
"\n"
" if (functions[i]() < 0){\n"
" #pragma omp atomic\n"
" c_NOK++;\n"
" } else {\n"
" #pragma omp atomic\n"
" c_OK++;\n"
" }\n"
" }\n"
" }\n"
"\n"
" testrun_log(\"---------------------------------------------------------\");\n"
" testrun_log(\"NOTE PARALLEL TESTING\");\n"
" testrun_log(\"\");\n"
" testrun_log(\"This version is using OpenMP. Using GCC for compilation \");\n"
" testrun_log(\"may produce false valgrind output due to use of libomp.\");\n"
" testrun_log(\"More information is included in docs/valgrind/openMP.\");\n"
" testrun_log(\"---------------------------------------------------------\");\n"
"\n"
"\n"
" testrun_log(\"Parallel RUN (%jd) TESTS in %d threads: \"\n"
" \"success %jd error %jd)\",\n"
" c_OK + c_NOK, nthreads,\n"
" c_OK, c_NOK);\n"
"\n"
" end = clock();\n"
" testrun_log_clock(start, end);\n"
" testrun_log(\"\");\n"
"\n"
" if (c_NOK > 0)\n"
" return -c_NOK;\n"
"\n"
" return c_OK;\n"
"}\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Run a bunch of tests serial. This will run all configured\n"
" tests independently and return the result of the test batch,\n"
" once all tests are done or the first tests fails, if break_on_error\n"
" is set.\n"
"\n"
" A clock of the batch runtime will be logged in addition to the\n"
" result of the testrun.\n"
"\n"
" @param function pointer to function pointer array\n"
" @param items amount of items in function\n"
" @param break_on_error (true) fail test batch on first error\n"
" (false) run all tests before error return\n"
" @returns negative count of failed tests\n"
" positive count of run tests otherwise\n"
" */\n"
"static inline int64_t testrun_sequential(\n"
" int (*functions[])(),\n"
" size_t items,\n"
" bool break_on_error) {\n"
"\n"
" if (!functions || items < 1)\n"
" return 0;\n"
"\n"
" if (items > INT64_MAX )\n"
" return 0;\n"
"\n"
" int64_t c_OK = 0;\n"
" int64_t c_NOK = 0;\n"
"\n"
" clock_t start, end;\n"
" start = clock();\n"
"\n"
" for (size_t i = 0; i < items; i++){\n"
"\n"
" if (functions[i] != 0) {\n"
"\n"
" if (functions[i]() < 0) {\n"
"\n"
" c_NOK++;\n"
" if (break_on_error)\n"
" break;\n"
"\n"
" } else {\n"
"\n"
" c_OK++;\n"
"\n"
" }\n"
" }\n"
" }\n"
"\n"
" testrun_log(\"Serial RUN (%jd) TESTS: success %jd error %jd)\",\n"
" c_OK + c_NOK,\n"
" c_OK, c_NOK);\n"
"\n"
" end = clock();\n"
" testrun_log_clock(start, end);\n"
" testrun_log(\"\");\n"
"\n"
" if (c_NOK > 0)\n"
" return -c_NOK;\n"
"\n"
" return c_OK;\n"
"}\n"
"\n"
"/*----------------------------------------------------------------------------*/\n"
"\n"
"/**\n"
" Run a bunch of configurable parallel and sequential tests serial.\n"
"\n"
" @param max_parallel maximum test cases parallel\n"
" @param max_sequential maximum test cases sequential\n"
" @param break_on_error (true) fail sequential test batch on first error\n"
" (false) run all sequential tests\n"
" @returns negative count of run tests cased on error\n"
" positive count of run tests\n"
" */\n"
"static inline int64_t testrun_run_tests(\n"
" size_t max_parallel,\n"
" size_t max_sequential,\n"
" bool break_on_error) {\n"
"\n"
" int64_t result_parallel = 0;\n"
" int64_t result_sequential = 0;\n"
" size_t counter_parallel = 0;\n"
" size_t counter_sequential = 0;\n"
"\n"
" if ( (max_parallel == 0) && (max_sequential == 0))\n"
" return -1;\n"
"\n"
" // LOAD & RUN test cases\n"
"\n"
" if (max_parallel > 0) {\n"
"\n"
" int (*testcases[max_parallel])();\n"
" testrun_init_testcases(testcases, 0, max_parallel);\n"
"\n"
" if (!testrun_configure_parallel(\n"
" testcases, &counter_parallel, &max_parallel)){\n"
" testrun_log_failure(\"Failure configure parallel.\");\n"
" return -1;\n"
" }\n"
"\n"
" result_parallel = testrun_parallel(testcases, counter_parallel);\n"
"\n"
" if (result_parallel < 0)\n"
" testrun_log(\"Failure testrun parallel run\");\n"
"\n"
" }\n"
"\n"
" if (max_sequential > 0) {\n"
"\n"
" int (*testcases[max_sequential])();\n"
" testrun_init_testcases(testcases, 0, max_sequential);\n"
"\n"
" if (!testrun_configure_sequential(\n"
" testcases, &counter_sequential, &max_sequential)){\n"
" testrun_log_failure(\"Failure configure sequential.\");\n"
" return -1;\n"
" }\n"
"\n"
" result_sequential = testrun_sequential(\n"
" testcases, counter_sequential, break_on_error);\n"
"\n"
" if (result_sequential < 0)\n"
" testrun_log(\"Failure testrun sequential run\");\n"
"\n"
" }\n"
"\n"
" if ( (result_parallel < 0) || (result_sequential < 0)) {\n"
" if ( (counter_parallel + counter_sequential) == 0)\n"
" return -1;\n"
" return ( -1 * (counter_parallel + counter_sequential));\n"
" }\n"
"\n"
" return (counter_parallel + counter_sequential);\n"
"}\n"
"\n"
"/** -----------------------------------------------------------------------\n"
"\n"
" @example testrun_assert_example.c\n"
" @author Markus Toepfer\n"
" @date 2017-10-31\n"
"\n"
" @brief Example test file using testrun.h\n"
"\n"
" This example shows assert() style based testing with testrun.h and is\n"
" build around the testrun_test() macro, which increases a counter which\n"
" MUST be initialized in a testcluster function.\n"
"\n"
" -----------------------------------------------------------------------\n"
"\n"
" @code\n"
" #include \"../tools/testrun_parallel.h\"\n"
"\n"
" bool example_function() {\n"
" return true;\n"
" }\n"
" -----------------------------------------------------------------------\n"
"\n"
" int test_with_assert_function() {\n"
"\n"
" // Fail on first testing\n"
" //\n"
" // Fail on first can be implemented using assert,\n"
" // or by returning a negative result of the testrun_test\n"
" // The following examples do all the same, the will stop\n"
" // the whole testrun and report a failure.\n"
"\n"
" testrun_assert(\n"
" example_function() == true, \\\n"
" \"Failure: NOK result is true.\"\n"
" );\n"
"\n"
" assert(true == example_function());\n"
" assert(example_function());\n"
"\n"
" if (!example_function())\n"
" return -1;\n"
"\n"
" // will not be reached in case of error\n"
" return testrun_log_success();\n"
" }\n"
"\n"
" -----------------------------------------------------------------------\n"
"\n"
" int test_whatever_OK() {\n"
"\n"
" bool failure = false;\n"
"\n"
" // Positive result logging\n"
"\n"
" if (!failure)\n"
" return testrun_log_success();\n"
"\n"
" // will be reached in case of error\n"
" return testrun_log_error();\n"
" }\n"
"\n"
" -----------------------------------------------------------------------\n"
"\n"
" int test_whatever_NOK() {\n"
"\n"
" // Failure logging (Don't fail the testrun, just log a failure)\n"
"\n"
" if (failure)\n"
" return testrun_log_error();\n"
"\n"
" // will not be reached in case of error\n"
" return testrun_log_success();\n"
"\n"
" }\n"
"\n"
" -----------------------------------------------------------------------\n"
"\n"
" int assert_based_testing() {\n"
"\n"
" testrun_init();\n"
"\n"
" testrun_test(test_with_assert_function);\n"
" testrun_test(test_whatever_OK);\n"
" testrun_test(test_whatever_NOK);\n"
"\n"
" return testrun_counter;\n"
"\n"
" }\n"
"\n"
" testrun_run(assert_based_testing);\n"
" @endcode\n"
"\n"
"**/\n"
"/** -----------------------------------------------------------------------\n"
"\n"
" @example testrun_example.c\n"
" @author Markus Toepfer\n"
" @date 2017-11-22\n"
"\n"
" @brief Example test file using testrun.h\n"
"\n"
" This example shows parallel and sequential style based testing\n"
" with testrun.h and is build around a MACRO set to execute tests in\n"
" parallel or seqentuial run.\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" @code\n"
" #include \"../tools/testrun_parallel.h\"\n"
"\n"
" bool example_function() {\n"
" return true;\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int testcase_block1(){\n"
"\n"
" testrun(example_function());\n"
" testrun(true);\n"
" testrun(example_function(), \"second run of function.\");\n"
"\n"
" return testrun_log_success();\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int testcase_block2(){\n"
"\n"
" return testrun_log_success();\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int testcase_block3(){\n"
"\n"
" return testrun_log_success();\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" Int testcase_block4(){\n"
"\n"
" return testrun_log_success();\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int64_t cluster_tests1(int(*tests[])(), size_t slot, size_t max) {\n"
"\n"
" testrun_init(); // create local variables\n"
" testrun_add(testcase_block1); // adds block1 to tests[]\n"
" testrun_add(testcase_block2); // adds block2 to tests[]\n"
"\n"
" return testrun_counter;\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int64_t cluster_tests2(int(*tests[])(), size_t slot, size_t max) {\n"
"\n"
" testrun_init(); // create local variables\n"
" testrun_add(testcase_block3); // adds block3 to tests[]\n"
" testrun_add(testcase_block4); // adds block4 to tests[]\n"
"\n"
" return testrun_counter;\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" bool testrun_configure_parallel(\n"
" int (*testcases[])(),\n"
" size_t * const start,\n"
" size_t const * const max){\n"
"\n"
" if (!testcases || !start || !max)\n"
" return false;\n"
"\n"
" if(testrun_add_testcases(\n"
" testcases,start, max, cluster_tests1) < 0)\n"
" return false;\n"
"\n"
" return true;\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
"\n"
" bool testrun_configure_sequential(\n"
" int (*testcases[])(),\n"
" size_t *const start,\n"
" size_t const * const max){\n"
"\n"
" if (!testcases || !start || !max)\n"
" return false;\n"
"\n"
" if(testrun_add_testcases(\n"
" testcases,start, max, cluster_tests1) < 0)\n"
" return false;\n"
"\n"
" if(testrun_add_testcases(\n"
" testcases,start, max, cluster_tests2) < 0)\n"
" return false;\n"
"\n"
" return true;\n"
"\n"
" }\n"
"\n"
" //---------------------------------------------------------------------\n"
"\n"
" int64_t run_tests() {\n"
"\n"
" return testrun_run_tests(1000,1000,false);\n"
" }\n"
"\n"
" testrun_run(run_tests);\n"
" @endcode\n"
"\n"
"**/\n"
"\n"
"#endif /* testrun_openmp_h */\n";
/*
* ------------------------------------------------------------------------
*
* Gitignore file #GITRIGNORE
*
* this constant string will be used to generate
* the default gitignore content.
*
* ------------------------------------------------------------------------
*/
static const char *testrun_gitignore =
"# Prerequisites\n"
"*.d\n"
"\n"
"# Object files\n"
"*.o\n"
"*.so\n"
"*.ko\n"
"*.obj\n"
"*.elf\n"
"\n"
"# Linker output\n"
"*.ilk\n"
"*.map\n"
"*.exp\n"
"\n"
"# Precompiled Headers\n"
"*.gch\n"
"*.pch\n"
"\n"
"# Libraries\n"
"*.lib\n"
"*.a\n"
"*.la\n"
"*.lo\n"
"\n"
"# Shared objects (inc. Windows DLLs)\n"
"*.dll\n"
"*.so\n"
"*.so.*\n"
"*.dylib\n"
"\n"
"# Executables\n"
"*.exe\n"
"*.out\n"
"*.app\n"
"*.i*86\n"
"*.x86_64\n"
"*.hex\n"
"\n"
"# Debug files\n"
"*.dSYM/\n"
"*.su\n"
"*.idb\n"
"*.pdb\n"
"\n"
"# Kernel Module Compile Results\n"
"*.mod*\n"
"*.cmd\n"
".tmp_versions/\n"
"modules.order\n"
"Module.symvers\n"
"Mkfile.old\n"
"dkms.conf\n"
"\n"
"# Local files\n"
"**/local\n"
"**/bin/\n"
"**/gen/\n"
"**/build/\n"
"**/docs/doxygen/\n"
"**/doxygen/documentation/\n"
"\n"
"# vagrant (if used)\n"
".vagrant\n"
"\n"
"# subprojects (if used)\n"
"*.git\n"
"\n"
"# generated package config\n"
"*.pc\n"
"\n"
"# ctags\n"
".tags\n"
"tags\n"
"functions\n"
"\n"
"# IDE\n"
"\n"
"## IntelliJ\n"
".idea\n"
"\n"
"## Sublime\n"
"*.sublime-workspace\n"
"*.sublime-project\n"
"\n"
"## VIM\n"
"[._]*.s[a-w][a-z]\n"
"[._]s[a-w][a-z]\n"
"*.un~\n"
"Session.vim\n"
".netrwhist\n"
"*~\n";
/*----------------------------------------------------------------------------*/
char *testrun_generate_header(){
return strdup(testrun_header);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_header_openmp(){
return strdup(testrun_header_openmp);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_gitignore(){
return strdup(testrun_gitignore);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_readme(
const char *projectname,
const char *description,
const char *copyright_string){
size_t size = 5000;
char buffer[size];
memset(buffer, 0, size);
snprintf(buffer, size,
"# Project %s\n"
"\n"
"This module is self supported and may be build, tested, installed and\n"
"run independently.\n"
"\n"
"## Overview\n"
"\n"
"* [Description](#description)\n"
"* [Usage](#usage)\n"
"* [Installation](#installation)\n"
"* [Requirements](#requirements)\n"
"* [Structure](#structure)\n"
"* [Tests](#tests)\n"
"* [Tips](#tips)\n"
"* [Copyright](#copyright)\n"
"\n"
"## Description\n"
"\n"
"%s\n"
"\n"
"## Usage\n"
"\n"
"...\n"
"\n"
"## Installation\n"
"\n"
"...\n"
"""\n"
"### build sources\n"
"\n"
"\\`\\`\\`bash\n"
"make\n"
"\\`\\`\\`\n"
"\n"
"### build documentation\n"
"\n"
"\\`\\`\\`bash\n"
"make documentation\n"
"\\`\\`\\`\n"
"\n"
"### test sources\n"
"\n"
"\\`\\`\\`bash\n"
"make tested\n"
"\\`\\`\\`\n"
"\n"
"### install binaries\n"
"\n"
"\\`\\`\\`bash\n"
"sudo make install\n"
"\\`\\`\\`\n"
"\n"
"### uninstall binaries\n"
"\n"
"\\`\\`\\`bash\n"
"sudo make uninstall\n"
"\\`\\`\\`\n"
"\n"
"## Requirements\n"
"\n"
"## Structure\n"
"\n"
"### Default structure of the folder:\n"
"\n"
"\\`\\`\\`\n"
"<pre>\n"
".\n"
"├── README.MD\n"
"├── .gitignore\n"
"├── makefile\n"
"├── makefile_common.mk\n"
"│\n"
"├── copyright\n"
"│ └── ... \n"
"│\n"
"├── doxygen\n"
"│ ├── documentation\n"
"│ └── doxygen.config\n"
"│\n"
"├── docs\n"
"│ ├── CHANGELOG.MD\n"
"│ └── ...\n"
"│\n"
"├── include\n"
"│ ├── %s.h\n"
"│ └── ...\n"
"│\n"
"├── src\n"
"│ ├── %s.c\n"
"│ └── ...\n"
"│\n"
"└── tests\n"
" ├── resources\n"
" ├── tools\n"
" │ ├── testrun.h\n"
" │ ├── testrun_runner.sh\n"
" │ ├── testrun_gcov.sh\n"
" │ ├── testrun_gprof.sh\n"
" │ ├── testrun_simple_coverage_tests.sh\n"
" │ ├── testrun_simple_unit_tests.sh\n"
" │ ├── testrun_simple_acceptance_tests.sh\n"
" │ └── testrun_simple_loc.sh\n"
" │\n"
" ├── acceptance\n"
" │ ├── ...\n"
" │ └── ...\n"
" │\n"
" └── unit\n"
" ├── %s_test.c\n"
" └── ...\n"
"\n"
"</pre>\n"
"\\`\\`\\`\n"
"\n"
"## Tests\n"
"\n"
"All test sources will be recompiled on each make run. That means,\n"
"all module tests will be created new on any change in any source file.\n"
"\n"
"### Test a project (all files contained in tests/unit)\n"
"\n"
"Test compile and run\n"
"~~~\n"
"make tested\n"
"~~~\n"
"\n"
"## Tips\n"
"\n"
"## Copyright\n"
"\n"
"%s\n",
projectname,
description,
projectname,
projectname,
projectname,
copyright_string);
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_doxygen(
const char *project_name,
const char *path_doxygen,
const char *path_mainfile,
const char *input){
size_t size = 5000;
char buffer[size];
memset(buffer, 0, size);
if (snprintf(buffer, size,
"DOXYFILE_ENCODING = UTF-8\n"
"PROJECT_NAME = %s\n"
"PROJECT_NUMBER = 0.0.1\n"
"PROJECT_LOGO = %s/logo.png\n"
"PROJECT_BRIEF = %s\n"
"OUTPUT_DIRECTORY = %s/documentation\n"
"CREATE_SUBDIRS = NO\n"
"ALLOW_UNICODE_NAMES = NO\n"
"OUTPUT_LANGUAGE = English\n"
"MARKDOWN_SUPPORT = YES\n"
"AUTOLINK_SUPPORT = YES\n"
"USE_MDFILE_AS_MAINPAGE = %s\n"
"INPUT = %s\n"
"INPUT_ENCODING = UTF-8\n"
"FILE_PATTERNS = *.h *.c *.js *.py *.sh\n"
"RECURSIVE = YES\n"
"EXCLUDE_SYMLINKS = YES\n",
project_name, path_doxygen, project_name, path_doxygen, path_mainfile, input)< 0)
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_service_file(
const char *project_name,
const char *install_path){
size_t size = 5000;
char buffer[size];
memset(buffer, 0, size);
if (snprintf(buffer, size,
"[Unit]\n"
"Description= %s service\n"
"\n"
"[Service]\n"
"ExecStart=%s\n"
"NonBlocking=True\n"
"\n"
"[Install]\n"
"WantedBy=multi-user.target\n"
, project_name, install_path)< 0)
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_socket_file(
const char *project_name){
size_t size = 5000;
char buffer[size];
memset(buffer, 0, size);
if (snprintf(buffer, size,
"[Unit]\n"
"Description= %s socket\n"
"\n"
"[Socket]\n"
"\n"
"# example interface bound\n"
"# ListenStream=10.0.0.100:12345\n"
"\n"
"# example localhost\n"
"# ListenStream=127.0.0.1:12345\n"
"\n"
"# example listen on all\n"
"# ListenStream=0.0.0.0:12345\n"
"\n"
"# example listen on UDP\n"
"# ListenDatagram=0.0.0.0:12345\n"
"\n"
"# Maximum parallel connections for the socket\n"
"Backlog=2048\n"
"\n"
"# TCP Keepalive (1h)\n"
"KeepAlive=false\n"
"\n"
"[Install]\n"
"WantedBy=multi-user.target\n"
, project_name)< 0)
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_script_simple_tests(
const char *type,
const char *project,
const char *file_name,
const char *runner_script,
const char *path_logfile,
const char *path_tests,
const char *path_tools
){
if ( !type ||
!project ||
!file_name ||
!runner_script ||
!path_logfile ||
!path_tests ||
!path_tools)
return NULL;
size_t size = 5000;
char buffer[size];
memset(buffer, 0, size);
if (0 > snprintf(buffer, size,
"%s"
"#\n"
"# File %s\n"
"# Authors Markus Toepfer\n"
"# Date 2017-11-30\n"
"#\n"
"# Project %s\n"
"#\n"
"# Description Run all test executables [PATH_TESTS]/*.test\n"
"# Run the whole folder, until an error occurs.\n"
"#\n"
"# MODE FAIL ON ERROR (Fail on first test error)\n"
"#\n"
"# LOGFILE [PATH_LOGFILE]/%s.<time>.log\n"
"#\n"
"#\n"
"# Usage ./%s /path/to/project\n"
"#\n"
"# Dependencies bash, touch, chmod, ls, wc, date\n"
"#\n"
"# Last changed 2018-07-11\n"
"# ------------------------------------------------------------------------\n"
"\n"
"TEST_TYPE=\"%s\"\n"
"FOLDER_LOGFILE=\"%s\"\n"
"FOLDER_TESTS=\"%s\"\n"
"RUNNER_SCRIPT=\"./%s/%s\"\n"
"\n"
"echo \"-------------------------------------------------------\"\n"
"echo \" SIMPLE $TEST_TYPE TESTING\"\n"
"echo \"-------------------------------------------------------\"\n"
"\n"
"start_time=$(date \"+%%Y.%%m.%%d-%%H.%%M.%%S.%%N\")\n"
"\n"
"# SET A LOGFILE\n"
"LOGFILE=\"$FOLDER_LOGFILE/$TEST_TYPE.$start_time.log\"\n"
"echo \" (log) $start_time\" > $LOGFILE\n"
"touch $LOGFILE\n"
"chmod a+w $LOGFILE\n"
"\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"echo \" REPORT $TEST_TYPE TESTING\" >> $LOGFILE\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"\n"
"# RUN THE RUNNER\n"
"sh $RUNNER_SCRIPT $LOGFILE $FOLDER_TESTS FAIL_ON_ERROR\n"
"RESULT=$?\n"
"\n"
"end_time=$(date \"+%%Y.%%m.%%d-%%H.%%M.%%S.%%N\")\n"
"\n"
"# FINISH THE REPORT\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"echo \"DONE \\t $TEST_TYPE TEST RUN\" >> $LOGFILE\n"
"if [ $RESULT -eq 0 ]; then\n"
" echo \"RESULT\\t SUCCESS\" >> $LOGFILE\n"
"else\n"
" echo \"RESULT\\t FAILURE\" >> $LOGFILE\n"
"fi\n"
"echo \"START \\t $start_time\" >> $LOGFILE\n"
"echo \"END \\t $end_time\" >> $LOGFILE\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"\n"
"# DUMP THE REPORT ON SUCCESS\n"
"if [ $RESULT -eq 0 ]; then\n"
" cat $LOGFILE\n"
" echo \"\"\n"
"else\n"
" echo \"\"\n"
" echo \"$TEST_TYPE TEST FAILED\"\n"
" echo \"Logfile dump stopped to point to last error.\"\n"
"fi\n"
"exit $RESULT\n",
bash_header,
file_name,
project,
type,
file_name,
type,
path_logfile,
path_tests,
path_tools,
runner_script
))
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_script_runner(
const char *project,
const char *file_name){
if ( !project ||
!file_name)
return NULL;
size_t size = 5000;
char buffer[size];
memset(buffer, 0, size);
if (0 > snprintf(buffer, size,
"%s"
"#\n"
"# File %s\n"
"# Authors Markus Toepfer\n"
"# Date 2017-11-30\n"
"#\n"
"# Project %s\n"
"#\n"
"# Description Run each TEST.test of a folder and log Ok or NOK\n"
"# for each executed testfile of the folder.\n"
"#\n"
"# EXAMPLE OUTPUT\n"
"#\n"
"# [OK] 1/5 filename1.test\n"
"# [NOK] 2/5 filename2.test\n"
"#\n"
"# MODES\n"
"#\n"
"# (1) RUN ALL TESTS (log but ignore errors)\n"
"# use script with 2 parameters\n"
"# e.g. ./testrun_runner.sh logfile /path\n"
"#\n"
"# This mode will not return a test failure and\n"
"# may be used to run all tests and return success\n"
"# if all tests was run. (test results are logged)\n"
"#\n"
"# (2) FAIL ON ERROR (Fail on first error)\n"
"# use script with 3 parameters\n"
"# e.g. ./testrun_runner.sh logfile /path 1\n"
"#\n"
"# This mode returns -1 on the first test failure.\n"
"#\n"
"# PARAMETER\n"
"#\n"
"# (1) path to logfile destination\n"
"# (2) path to folder with test cases\n"
"#\n"
"#\n"
"# Usage ./testrun_runner.sh /path/to/logfile /path/to/test/dir\n"
"#\n"
"# Dependencies bash, tail, ls, grep, wc\n"
"#\n"
"# Last changed 2017-11-30\n"
"# ------------------------------------------------------------------------\n"
"\n"
"if [ -z $1 ]; then\n"
" echo \"ERROR ... NO LOGFILE INPUT TO SRCIPT\"\n"
" exit 1\n"
"fi\n"
"LOGFILE=$1\n"
"\n"
"if [ -z $2 ]; then\n"
" echo \"ERROR ... FOLDER INPUT TO SRCIPT\"\n"
" exit 1\n"
"fi\n"
"FOLDER=$2\n"
"\n"
"FAIL_ON_ERROR=0\n"
"if [ ! -z $3 ]; then\n"
" FAIL_ON_ERROR=1\n"
"fi\n"
"\n"
"if [ ! -w $LOGFILE ]; then\n"
" echo \"ERROR ... LOGFILE NOT WRITABLE\"\n"
" exit 1\n"
"fi\n"
"\n"
"# ------------------------------------------------------------------------\n"
"# PERFORM TESTRUN\n"
"# ------------------------------------------------------------------------\n"
"\n"
"FILES=`ls $FOLDER/ | grep \"\\.test\" | wc -l`\n"
"if [ $? -ne 0 ]; then\n"
" echo \"ERROR ... could not count files of $FOLDER\"\n"
" exit 1\n"
"fi\n"
"c=0\n"
"\n"
"if [ $FILES -eq 0 ]; then\n"
" exit 0\n"
"fi\n"
"\n"
"for i in $FOLDER/*.test\n"
"do\n"
" c=$((c+1))\n"
"\n"
" # RUN EXECUTABLE\n"
" $i 2>&1 >> $LOGFILE\n"
"\n"
" # CHECK RETURN OF EXECUTABLE\n"
" if [ $? -ne 0 ]; then\n"
"\n"
" echo \"NOK\\t(\"$c\"/\"$FILES\")\\t\"$i\n"
"\n"
" if [ $FAIL_ON_ERROR -eq 1 ]; then\n"
" exit 1\n"
" fi\n"
" else\n"
" echo \"OK\\t(\"$c\"/\"$FILES\")\\t\"$i\n"
" fi\n"
"done\n"
"exit 0\n",
bash_header,
file_name,
project))
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_script_loc(
const char *project,
const char *file_name,
const char *path_header,
const char *path_source,
const char *path_tests){
if ( !project ||
!file_name ||
!path_header ||
!path_source ||
!path_tests)
return NULL;
size_t size = 5000;
char buffer[size];
memset(buffer, 0, size);
if (0 > snprintf(buffer, size,
"%s"
"#\n"
"# File %s\n"
"# Authors Markus Toepfer\n"
"# Date 2017-11-30\n"
"#\n"
"# Project %s\n"
"#\n"
"# Description Count the lines of header, src and tests.\n"
"# This file uses no error checking.\n"
"#\n"
"# Usage ./%s /path/to/project\n"
"#\n"
"# Dependencies bash, find, xargs, wc\n"
"#\n"
"# Last changed 2018-07-11\n"
"# ------------------------------------------------------------------------\n"
"\n"
"FOLDER_INC=\"%s\"\n"
"FOLDER_SRC=\"%s\"\n"
"FOLDER_TST=\"%s\"\n"
"echo \"-------------------------------------------------------\"\n"
"echo \" SIMPLE LOC COUNTER\"\n"
"echo \"-------------------------------------------------------\"\n"
"echo \"\"\n"
"echo \"(LOC) HEADER\"\n"
"find $1/$FOLDER_INC -name '*.h' | xargs wc -l\n"
"echo \"\"\n"
"echo \"(LOC) SOURCE\"\n"
"find $1/$FOLDER_SRC -name '*.c' | xargs wc -l\n"
"echo \"\"\n"
"echo \"(LOC) TESTS\"\n"
"find $1/$FOLDER_TST -name '*.c' | xargs wc -l\n"
"echo \"\"\n"
"echo \"-------------------------------------------------------\"\n"
"echo \"\"\n",
bash_header,
file_name,
project,
file_name,
path_header,
path_source,
path_tests
))
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_script_coverage(
const char *project,
const char *file_name,
const char *src_prefix,
const char *test_prefix,
const char *path_logfile,
const char *path_source,
const char *path_tests){
if ( !project ||
!file_name ||
!test_prefix ||
!path_logfile ||
!path_source ||
!path_tests)
return NULL;
size_t size = 10000;
char buffer[size];
memset(buffer, 0, size);
if (!src_prefix)
src_prefix = "src_";
if (0 > snprintf(buffer, size,
"%s"
"#\n"
"# File %s\n"
"# Authors Markus Toepfer\n"
"# Date 2017-11-30\n"
"#\n"
"# Project %s\n"
"#\n"
"# Description Count functions of folder src vs unit test functions.\n"
"#\n"
"# CONVENTION\n"
"#\n"
"# Each function in any file of the source folder located\n"
"# \"%s\"\n"
"# will have a corresponding test function,\n"
"# using the same name in a file of the unit tests located at\n"
"# \"%s\",\n"
"# with a function name prefix of\n"
"# \"%s\".\n"
"#\n"
"# EXAMPLE function | test_function\n"
"#\n"
"# NOTE This simple coverage test just covers the\n"
"# observance of the given coding convention.\n"
"#\n"
"#\n"
"# Usage ./%s /path/to/project\n"
"#\n"
"# Dependencies bash, ctags, awk, sed, grep\n"
"#\n"
"# Last changed 2018-07-11\n"
"# ------------------------------------------------------------------------\n"
"\n"
"start_time=$(date \"+%%Y.%%m.%%d-%%H.%%M.%%S.%%N\")\n"
"SRC_PREFIX=\"%s\"\n"
"TEST_PREFIX=\"%s\"\n"
"\n"
"SRCDIR=\"$1/%s\"\n"
"TESTDIR=\"$1/%s\"\n"
"FOLDER_LOGFILE=\"$1/%s\"\n"
""
"\n"
"# SET A LOGFILE\n"
"LOGFILE=\"$FOLDER_LOGFILE/coverage.$start_time.log\"\n"
"touch $LOGFILE\n"
"chmod a+w $LOGFILE\n"
"\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"echo \" REPORT COVERAGE TESTING\" >> $LOGFILE\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"echo \" TIME \t $start_time\" >> $LOGFILE\n"
"echo \"\" >> $LOGFILE\n"
"\n"
"# GENERATE CTAGS SOURCE\n"
"cd $SRCDIR\n"
"if [ $? -ne 0 ]; then\n"
" exit 1\n"
"fi\n"
"ctags --c-types=f -R\n"
"# remove the ctags stuff, to leave just the function lines\n"
"sed -e '/[ ]*m$/d' -e '/TAG/d' <tags>functions\n"
"# remove anything but the function names\n"
"awk '{print $1 }' $SRCDIR/functions > $SRCDIR/functionNamesAll\n"
"\n"
"# CUSTOMIZATION delete everything, which is not prefixed with custom src prefixes\n"
"#cat $SRCDIR/functionNamesAll | sed -ne '/^$SRC_PREFIX_.*/p' > $SRCDIR/functionNames\n"
"#cat $SRCDIR/functionNamesAll | sed -ne '/^impl_.*/p' >> $SRCDIR/functionNames\n"
"cat $SRCDIR/functionNamesAll >> $SRCDIR/functionNames\n"
"\n"
"# count the lines\n"
"sourceFkt=\"$(cat functions | wc -l)\"\n"
"echo \" count source\\t\" $sourceFkt >> $LOGFILE\n"
"\n"
"# GENERATE CTAGS TESTS\n"
"cd $TESTDIR\n"
"if [ $? -ne 0 ]; then\n"
" exit 1\n"
"fi\n"
"ctags --c-types=f -R\n"
"# remove the ctags stuff, to leave just the function lines\n"
"sed -e '/[ ]*m$/d' -e '/TAG/d' <tags>functions\n"
"# remove anything but the function names\n"
"awk '{print $1 }' $TESTDIR/functions > $TESTDIR/functionNames\n"
"\n"
"# count the lines\n"
"testFkt=\"$(cat functions | grep -i ^$TEST_PREFIX | wc -l)\"\n"
"echo \" count tests\\t\" $testFkt >> $LOGFILE\n"
"\n"
"echo \"\nUNTESTED: \" >> $LOGFILE\n"
"# Found functions:\n"
"while read line;\n"
"do\n"
" grep -n '^'$TEST_PREFIX$line'$' $TESTDIR/functionNames > \\\n"
" /dev/null || echo $line >> $LOGFILE\n"
"done < $SRCDIR/functionNames\n"
"\n"
"if [ $sourceFkt != 0 ]; then\n"
" echo \"............................................\" >> $LOGFILE\n"
" echo \"COVERAGE: $sourceFkt $testFkt\" | \\\n"
" awk '{ printf $1 \" %%.2f %%%% \\n\", $3/$2*100}' >> $LOGFILE\n"
"fi\n"
"\n"
"cat $LOGFILE\n"
"echo \"-------------------------------------------------------\"\n"
"echo \"\"\n"
"\n"
"# cleanup remove the files we created\n"
"rm $SRCDIR/tags\n"
"rm $SRCDIR/functions\n"
"rm $SRCDIR/functionNames\n"
"rm $TESTDIR/tags\n"
"rm $TESTDIR/functions\n"
"rm $TESTDIR/functionNames\n",
bash_header,
file_name,
project,
path_source,
path_tests,
test_prefix,
file_name,
src_prefix,
test_prefix,
path_source,
path_tests,
path_logfile
))
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_script_gcov(
const char *project,
const char *file_name,
const char *path_logfile,
const char *path_tests_exec,
const char *path_tests_source,
const char *exec_suffix,
const char *src_suffix
){
if ( !project ||
!file_name ||
!path_logfile ||
!path_tests_exec ||
!path_tests_source)
return NULL;
size_t size = 5000;
char buffer[size];
memset(buffer, 0, size);
if (0 > snprintf(buffer, size,
"%s"
"#\n"
"# File %s\n"
"# Authors Markus Toepfer\n"
"# Date 2018-02-09\n"
"#\n"
"# Project %s\n"
"#\n"
"# Description Run gcov based coverage tests on all test cases.\n"
"#\n"
"# Usage ./%s /path/to/project\n"
"#\n"
"# Dependencies bash, gcov\n"
"#\n"
"# Last changed 2018-07-11\n"
"# ------------------------------------------------------------------------\n"
"\n"
"start_time=$(date \"+%%Y.%%m.%%d-%%H.%%M.%%S.%%N\")\n"
"\n"
"FOLDER_TEST_EXEC=\"%s\"\n"
"FOLDER_TEST_SRC=\"%s\"\n"
"FOLDER_LOGFILE=\"%s\"\n"
"TEST_EXEC_SUFFIX=\"%s\"\n"
"TEST_SRC_SUFFIX=\"%s\"\n"
""
"\n"
"# SET A LOGFILE\n"
"LOGFILE=\"$FOLDER_LOGFILE/gcov.$start_time.log\"\n"
"touch $LOGFILE\n"
"chmod a+w $LOGFILE\n"
"echo \" (log) $start_time\" > $LOGFILE\n"
"\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"echo \" GCOV RUNNER\" >> $LOGFILE\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"\n"
"for test in $FOLDER_TEST_EXEC/*$TEST_EXEC_SUFFIX; do\n"
" $test\n"
"done\n"
"\n"
"FILES=`ls $FOLDER_TEST_EXEC/ | grep $TEST_EXEC_SUFFIX | wc -l`\n"
"if [ $? -ne 0 ]; then\n"
" echo \"ERROR ... could not count files of $FOLDER_TEST_EXEC\"\n"
" exit 1\n"
"fi\n"
"c=0\n"
"\n"
"if [ $FILES -eq 0 ]; then\n"
" exit 0\n"
"fi\n"
"\n"
"for i in $FOLDER_TEST_SRC/*$TEST_SRC_SUFFIX.c\n"
"do\n"
" # RUN GCOV\n"
" echo $i\n"
" gcov $i\n"
"done\n"
"\n"
"# move coverage output to log folder\n"
"mv *.gcov $FOLDER_LOGFILE\n"
"exit 0\n",
bash_header,
file_name,
project,
file_name,
path_tests_exec,
path_tests_source,
path_logfile,
exec_suffix,
src_suffix
))
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_script_gprof(
const char *project,
const char *file_name,
const char *path_logfile,
const char *path_tests_exec,
const char *exec_suffix
){
if ( !project ||
!file_name ||
!path_logfile ||
!path_tests_exec)
return NULL;
size_t size = 5000;
char buffer[size];
memset(buffer, 0, size);
if (0 > snprintf(buffer, size,
"%s"
"#\n"
"# File %s\n"
"# Authors Markus Toepfer\n"
"# Date 2018-02-09\n"
"#\n"
"# Project %s\n"
"#\n"
"# Description Run gprof based analysis tests on all test cases.\n"
"#\n"
"# Usage ./%s /path/to/project\n"
"#\n"
"# Dependencies bash, gprof\n"
"#\n"
"# Last changed 2018-07-11\n"
"# ------------------------------------------------------------------------\n"
"\n"
"start_time=$(date \"+%%Y.%%m.%%d-%%H.%%M.%%S.%%N\")\n"
"\n"
"FOLDER_TEST_EXEC=\"%s\"\n"
"FOLDER_LOGFILE=\"%s\"\n"
"TEST_EXEC_SUFFIX=\"%s\"\n"
""
"\n"
"# SET A LOGFILE\n"
"LOGFILE=\"$FOLDER_LOGFILE/gprof.$start_time.log\"\n"
"touch $LOGFILE\n"
"chmod a+w $LOGFILE\n"
"echo \" (log) $start_time\" > $LOGFILE\n"
"\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"echo \" GPROF RUNNER\" >> $LOGFILE\n"
"echo \"-------------------------------------------------------\" >> $LOGFILE\n"
"\n"
"# Execute the test once and profile the execution\n"
"for test in $FOLDER_TEST_EXEC/*$TEST_EXEC_SUFFIX; do\n"
" name=${test##*/}"
" echo \"Profiling\" $name\n"
" $test\n"
" gprof $test gmon.out > $name.profile\n"
"done\n"
"\n"
"# move profile to build/tests/logs\n"
"mv *.profile $FOLDER_LOGFILE\n"
"exit 0\n",
bash_header,
file_name,
project,
file_name,
path_tests_exec,
path_logfile,
exec_suffix
))
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_makefile_common(
const char *project,
const char *file_name,
const char *path_bin,
const char *path_build,
const char *path_include,
const char *path_source,
const char *path_tests,
const char *path_tools,
const char *path_doxygen,
const char *suffix_test_source,
const char *suffix_test_exec,
const char *script_unit_tests,
const char *script_acceptance_tests,
const char *script_coverage_tests,
const char *script_loc,
const char *script_gcov,
const char *script_gprof,
testrun_makefile_target target
){
if ( !project ||
!file_name ||
!path_bin ||
!path_build ||
!path_include ||
!path_source ||
!path_tests ||
!path_doxygen ||
!suffix_test_source ||
!suffix_test_exec ||
!script_unit_tests ||
!script_acceptance_tests ||
!script_coverage_tests ||
!script_loc ||
!script_gcov ||
!script_gprof)
return NULL;
char *target_all = NULL;
char *target_install = NULL;
char *target_uninstall = NULL;
switch (target) {
case LIB:
target_all = "all_lib";
target_install = "install_lib";
target_uninstall = "uninstall_lib";
break;
case EXEC:
target_all = "all_exec";
target_install = "install_exec";
target_uninstall = "uninstall_exec";
break;
case SERVICE:
target_all = "all_service";
target_install = "install_service";
target_uninstall = "uninstall_service";
break;
default:
return NULL;
}
size_t size = 20000;
char buffer[size];
memset(buffer, 0, size);
if (0 > snprintf(buffer, size,
"%s"
"#\n"
"# File %s\n"
"# Authors Markus Toepfer\n"
"# Date 2018-02-18\n"
"#\n"
"# Project %s\n"
"#\n"
"# Description Generic makefile for testrun based projects.\n"
"#\n"
"# Target of this makefile is an independent library\n"
"# or executable to be installed at either PREFIX/lib\n"
"# or PREFIX/bin.\n"
"#\n"
"# The TESTING part contains all required functionality\n"
"# to use the testrun tools via a makefile. It may be\n"
"# seen as a makefile integrated testrunner framework.\n"
"#\n"
"# in particular:\n"
"#\n"
"# \"make clean && make tested\"\n"
"#\n"
"# may be used to build all sources as well as tests from\n"
"# scratch and perform an integrated testrun over all after\n"
"# compilation.\n"
"#\n"
"# \"make gcov\"\n"
"#\n"
"# may be used to rebuild the whole project with gcov\n"
"# coverage testing flag enabled.\n"
"#\n"
"# \"make gprof\"\n"
"#\n"
"# may be used to rebuild the whole project with gprof\n"
"# profiling flags enabled.\n"
"#\n"
"# Following folder structure is required\n"
"#\n"
"# bin MUST be located at %s\n"
"# build MUST be located at %s\n"
"# inludes MUST be located at %s\n"
"# sources MUST be located at %s\n"
"# tests MUST be located at %s\n"
"#\n"
"# ALL TEST SCRIPTS MAY BE EXCHANGED WITH CUSTOM RUNNERS\n"
"#\n"
"# Usage SHOULD be used included by parent makefile\n"
"#\n"
"# NOTE aligned with tab width 4\n"
"#\n"
"# Dependencies testrun (makefile & service scripts), doxygen (if used)\n"
"#\n"
"# Last changed 2018-07-12\n"
"# ------------------------------------------------------------------------\n"
"\n"
"# Switch on colors\n"
"GCC_COLORS ?= 'gcc colors available, use them!'\n"
"export GCC_COLORS\n"
"\n"
"# ----- Compiler flags -----------------------------------------------------\n"
"\n"
"CFLAGS\t\t\t= -Wall -Wextra -fPIC -Iinclude\n"
"\n"
"CFLAGS\t\t\t+= $(MODCFLAGS)\n"
"LFLAGS\t\t\t+= $(MODLFLAGS)\n"
"\n"
"# ----- Project path calculation (if used included) ------------------------\n"
"\n"
"PROJECTPATH\t\t:= $(abspath $(dir $(PROJECTMK)))\n"
"DIRNAME\t\t\t:= $(notdir $(patsubst %%/,%%,$(dir $(PROJECTMK))))\n"
"\n"
"# ----- Package config setup -----------------------------------------------\n"
"\n"
"LIBNAME\t\t\t:= lib$(DIRNAME)\n"
"LIBNAMEPC\t\t:= $(LIBNAME).pc\n"
"\n"
"INCDIR\t\t\t:= $(PREFIX)/usr/local/include/$(DIRNAME)\n"
"LIBDIR\t\t\t:= $(PREFIX)/usr/local/lib\n"
"EXECDIR\t\t\t:= $(PREFIX)/usr/local/bin\n"
"CONFDIR\t\t\t:= $(PREFIX)/etc/$(DIRNAME)\n"
"SOCKDIR\t\t\t:= $(PREFIX)/etc/systemd/system\n"
"\n"
"# ----- TARGETS ------------------------------------------------------------\n"
"\n"
"INSTALL\t\t\t:= install\n"
"\n"
"EXECUTABLE\t\t= %s/$(DIRNAME)\n"
"\n"
"STATIC\t\t\t= %s/lib$(DIRNAME).a\n"
"SHARED\t\t\t= $(patsubst %%.a,%%.so,$(STATIC))\n"
"\n"
"# Source and object files to compile\n"
"HEADERS\t\t\t= $(wildcard %s/*.h)\n"
"SOURCES\t\t\t= $(wildcard %s/**/*.c %s/*.c)\n"
"OBJECTS\t\t\t= $(patsubst %%.c,%%.o,$(SOURCES))\n"
"\n"
"# Test sources and targets\n"
"TESTS_SOURCES = $(wildcard %s/**/*%s.c %s/*%s.c)\n"
"TESTS_TARGET = $(patsubst %s/%%.c, %s/tests/%%%s, $(TESTS_SOURCES))\n"
"\n"
"# GCOV support\n"
"GCOV_FILES\t\t= $(patsubst %%.c,%%.gcno,$(SOURCES))\n"
"GCOV_FILES\t\t+= $(patsubst %%.c,%%.gcov,$(SOURCES))\n"
"GCOV_FILES\t\t+= $(patsubst %%.c,%%.gcda,$(SOURCES))\n"
"GCOV_FILES\t\t+= $(patsubst %%.c,%%.gcno,$(TESTS_SOURCES))\n"
"GCOV_FILES\t\t+= $(patsubst %%.c,%%.gcda,$(TESTS_SOURCES))\n"
"\n"
"ifdef USE_GCOV\n"
"CFLAGS += -fprofile-arcs -ftest-coverage\n"
"LFLAGS += -lgcov --coverage\n"
"endif\n"
"\n"
"ifdef USE_GPROF\n"
"CFLAGS += -pg\n"
"endif\n"
"\n"
"# ----- TEST_SCRIPTS -------------------------------------------------------\n"
"\n"
"TEST_TOOLS_FOLDER\t\t=%s\n"
"TEST_SCRIPT_UNIT\t\t= $(TEST_TOOLS_FOLDER)/%s\n"
"TEST_SCRIPT_ACCEPTANCE\t= $(TEST_TOOLS_FOLDER)/%s\n"
"TEST_SCRIPT_COVERAGE\t=$(TEST_TOOLS_FOLDER)/%s\n"
"TEST_SCRIPT_LOC\t\t\t= $(TEST_TOOLS_FOLDER)/%s\n"
"TEST_SCRIPT_GCOV\t\t= $(TEST_TOOLS_FOLDER)/%s\n"
"TEST_SCRIPT_GPROF\t\t= $(TEST_TOOLS_FOLDER)/%s\n"
"\n"
"# ----- DEFAULT MAKE RULES -------------------------------------------------\n"
"\n"
"%%.o : %%.c $(HEADERS)\n"
"\t@echo \" (CC) $@\"\n"
"\t@$(CC) $(CFLAGS) -o $@ -c $< $(LIBS)\n"
"\n"
"%%%s.o : %%%s.c\n"
"\t@echo \" (CC) $@\"\n"
"\t@$(CC) $(CFLAGS) -o $@ -c $< $(LIBS)\n"
"\n"
"all:\t\t\t%s\n"
"install:\t\t%s\n"
"uninstall:\t\t%s\n"
"\n"
"all_lib:\t\tstart lib tests pkgconfig done\n"
"all_exec:\t\tstart lib tests $(EXECUTABLE) done\n"
"all_service:\tall_exec\n"
"\n"
"lib:\t\t\tbuild sources\n"
"sources:\t\tbuild $(STATIC) $(SHARED)\n"
"tests:\t\t\ttests-resources $(TESTS_TARGET)\n"
"\n"
"$(STATIC): $(OBJECTS)\n"
"\t@echo \" (AR) $@ $(OBJECTS)\"\n"
"\t@ar rcs $@ $(OBJECTS)\n"
"\t@ranlib $@\n"
"\n"
"$(SHARED): $(STATIC) $(OBJECTS)\n"
"\t@echo \" (CC) $@ $(OBJECTS)\"\n"
"\t@$(CC) -shared -o $@ $(OBJECTS) $(LIBS) $(LFLAGS)\n"
"\n"
"$(EXECUTABLE): $(OBJECTS)\n"
"\t@echo \" (CC) $@ $(OBJECTS)\"\n"
"\t$(CC) -o $@ $(STATIC) $(LIBS) $(LFLAGS)\n"
"\n"
"# ----- BUILD & CLEANUP ----------------------------------------------------\n"
"\n"
"build:\n"
"\t@mkdir -p %s\n"
"\t@mkdir -p %s\n"
"\t@mkdir -p %s/tests\n"
"\t@mkdir -p %s/tests/unit\n"
"\t@mkdir -p %s/tests/acceptance\n"
"\t@mkdir -p %s/tests/log\n"
"\t@echo \" (MK) directories for build\"\n"
"\n"
".PHONY: clean\n"
"clean:\n"
"\t@echo \" (CLEAN) $(LIBNAME)\"\n"
"\t@rm -rf %s %s %s/documentation $(OBJECTS) $(TESTS_OBJECTS) \\\n"
"\t$(LIBNAMEPC) $(TESTS_TMP_FILES) $(GCOV_FILES) *.gcov *.profile *.pc *.out\n"
"\n"
"\n"
"# ----- DOCUMENATION -------------------------------------------------------\n"
"\n"
"#NOTE requires doxygen.PHONY: documentation\n"
"documentation:\n"
"\tdoxygen %s/doxygen.config\n"
"\n"
"# ----- INFORMATION PRINTING -----------------------------------------------\n"
"\n"
"# print out a variable of the make file (e.g. \"make print-PROJECTPATH\")\n"
".PHONY: print\n"
"print-%% : ; @echo $* = $($*)\n"
"\n"
".PHONY: start\n"
"start:\n"
"\t@echo \"\\n (HINT) $(PROJECT) ==> running make\\n\"\n"
"\n"
".PHONY: done\n"
"done:\n"
"\t@echo\n"
"\t@echo \" (DONE) make $(PROJECT)\"\n"
"\t@echo \" (HINT) with unit testing ==> 'make tested'\"\n"
"\t@echo \" (HINT) perform installation ==> 'sudo make install\"\n"
"\t@echo \" (HINT) generate documentation ==> 'make documentation\"\n"
"\n"
"# ----- TESTING ------------------------------------------------------------\n"
"\n"
"# ALL IN ONE CALL (compile source, test and run test)\n"
"tested: all testrun done\n"
"\n"
"# copy test resources to build\n"
"tests-resources:\n"
"\t@echo \" (CP) tests/resources\"\n"
"\t@cp -r %s/resources %s/tests\n"
"\n"
"%s/tests/acceptance/%%%s%s: %s/acceptance/%%%s.o\n"
"\t@echo \" (CC) $(@)\"\n"
"\t@$(CC) $(CFLAGS) $(LFLAGS) $^ -ldl $(STATIC) -Wl,-rpath=$(RPATH) -o $(@) $(LIBS)\n"
"\n"
"%s/tests/unit/%%%s%s: %s/unit/%%%s.o\n"
"\t@echo \" (CC) $(@)\"\n"
"\t@$(CC) $(CFLAGS) $(LFLAGS) $^ -ldl $(STATIC) -Wl,-rpath=$(RPATH) -o $(@) $(LIBS)\n"
"\n"
"# TESTRUN runners ----------------------------------------------------------\n"
"\n"
"# ACCEPTANCE TEST script invocation\n"
".PHONY: testrun-acceptance\n"
"testrun-acceptance:\n"
"\tsh $(TEST_SCRIPT_ACCEPTANCE)\n"
"\n"
"# UNIT TEST script invocation\n"
".PHONY: testrun-unit\n"
"testrun-unit:\n"
"\tsh $(TEST_SCRIPT_UNIT)\n"
"\n"
"# COVERAGE TEST script invocation\n"
".PHONY: testrun-coverage\n"
"testrun-coverage:\n"
"\tsh $(TEST_SCRIPT_COVERAGE) $(PROJECTPATH)\n"
"\n"
"# LOC TEST script invocation\n"
".PHONY: testrun-loc\n"
"testrun-loc:\n"
"\tsh $(TEST_SCRIPT_LOC) $(PROJECTPATH)\n"
"\n"
"# TESTRUN all scripts\n"
".PHONY: testrun\n"
"testrun:\n"
"\t@echo \" (HINT) $(PROJECT) \\t\\t\\t==> running tests\\n\"\n"
"\tsh $(TEST_SCRIPT_UNIT)\n"
"\tsh $(TEST_SCRIPT_ACCEPTANCE)\n"
"\tsh $(TEST_SCRIPT_COVERAGE) $(PROJECTPATH)\n"
"\tsh $(TEST_SCRIPT_LOC) $(PROJECTPATH)\n"
"\n"
"# TESTRUN gcov -------------------------------------------------------------\n"
"\n"
".PHONY: testrun-gcov\n"
"testrun-gcov: clean\n"
"\tmake USE_GCOV=1 all\n"
"\tsh $(TEST_SCRIPT_GCOV) $(PROJECTPATH)\n"
"\n"
"# TESTRUN gprof ------------------------------------------------------------\n"
"\n"
".PHONY: testrun-gprof\n"
"testrun-gprof: clean\n"
"\tmake USE_GPROF=1 all\n"
"\tsh $(TEST_SCRIPT_PROF) $(PROJECTPATH)\n"
"\n"
"# ----- PKGCONFIG LIBRARY BUILD --------------------------------------------\n"
"\n"
".PHONY: pkgconfig\n"
"pkgconfig:\n"
"\t@echo 'prefix='$(PREFIX)'/usr/local/' > $(LIBNAMEPC)\n"
"\t@echo 'exec_prefix=$${prefix}' >> $(LIBNAMEPC)\n"
"\t@echo 'libdir=$${prefix}/lib' >> $(LIBNAMEPC)\n"
"\t@echo 'includedir=$${prefix}/include' >> $(LIBNAMEPC)\n"
"\t@echo '' >> $(LIBNAMEPC)\n"
"\t@echo 'Name: '$(LIBNAME) >> $(LIBNAMEPC)\n"
"\t@echo 'Description: '$(PROJECT_DESC) >> $(LIBNAMEPC)\n"
"\t@echo 'Version: '$(VERSION) >> $(LIBNAMEPC)\n"
"\t@echo 'URL: ' $(PROJECT_URL) >> $(LIBNAMEPC)\n"
"\t@echo 'Libs: -L$${libdir} -l'$(DIRNAME) >> $(LIBNAMEPC)\n"
"\t@echo 'Cflags: -I$${includedir}' >> $(LIBNAMEPC)\n"
"\n"
"# ----- INSTALLATION -------------------------------------------------------\n"
"\n"
"# Installation as a library ------------------------------------------------\n"
"\n"
".PHONY: install_lib\n"
"install_lib: $(SHARED) $(STATIC)\n"
"\t@echo \" (OK) installed $(LIBNAME) to $(LIBDIR)\"\n"
"\t@mkdir -p $(LIBDIR)/pkgconfig\n"
"\t@mkdir -p $(INCDIR)\n"
"\t@$(INSTALL) -m 0644 -t $(INCDIR) $(shell find include -name \"*.h\")\n"
"\t@$(INSTALL) -m 0755 $(SHARED) $(LIBDIR)\n"
"\t@$(INSTALL) -m 0755 $(STATIC) $(LIBDIR)\n"
"\t@$(INSTALL) -m 0644 $(LIBNAMEPC) $(LIBDIR)/pkgconfig\n"
"\t@ldconfig\n"
"\n"
".PHONY: uninstall_lib\n"
"uninstall_lib:\n"
"\t@echo \" (OK) uninstalled $(LIBNAME) from $(LIBDIR)\"\n"
"\t@rm -rf $(INCDIR)\n"
"\t@rm -rf $(LIBDIR)/$(LIBNAME).a\n"
"\t@rm -rf $(LIBDIR)/$(LIBNAME).so\n"
"\t@rm -rf $(LIBDIR)/pkgconfig/$(LIBNAMEPC)\n"
"\n"
"# Installation as an executable --------------------------------------------\n"
"\n"
".PHONY: install_exec\n"
"install_exec: $(SHARED) $(STATIC)\n"
"\t@echo \" (OK) installed $(DIRNAME) to $(EXECDIR)\"\n"
"\t@$(INSTALL) -m 0755 bin/$(DIRNAME) $(EXECDIR)\n"
"\n"
".PHONY: uninstall_exec\n"
"uninstall_exec:\n"
"\t@echo \" (OK) uninstalled $(DIRNAME) from $(EXECDIR)\"\n"
"\t@rm -rf $(EXECDIR)/$(DIRNAME)\n"
"\n"
"# Installation as a service ------------------------------------------------\n"
".PHONY: install_service\n"
"install_service: copy_service_files enable_service\n"
"\t@echo \" (OK) installed $(DIRNAME) to $(EXECDIR)\"\n"
"\n"
".PHONY: copy_service_files\n"
"copy_service_files: $(EXECUTABLE) \n"
"\t@echo \" (OK) copied service files\"\n"
"\t@mkdir -p $(SOCKDIR)\n"
"\t@$(INSTALL) -m 0755 bin/$(DIRNAME) $(EXECDIR)\n"
"\t@$(INSTALL) -m 0755 -d $(SERVICE_DATA)/etc $(CONFDIR)\n"
"\t@$(INSTALL) -m 0644 $(SERVICE_DATA)/*.service $(SOCKDIR)\n"
"\t@$(INSTALL) -m 0644 $(SERVICE_DATA)/*.socket $(SOCKDIR)\n"
"\n"
".PHONY: enable_service\n"
"enable_service:\n"
"\t@# IF INSTALLATION IS DONE UNPREFIXED TO /etc, the service will be enabled \n"
"\t@ifndef ($(PREFIX)) \\\n"
"\t\t@echo \" (OK) enable service\" \\\n"
"\t\t$(shell systemctl enable $(DIRNAME).socket) \\\n"
"\t\t$(shell systemctl start $(DIRNAME).socket) \\\n"
"\t\t$(shell systemctl enable $(DIRNAME).service) \\\n"
"\t\t$(shell systemctl start $(DIRNAME).service) \\\n"
"\t\t$(shell systemctl daemon-reload) \\\n"
"\t@endif\n"
"\n"
".PHONY: delete_service_files\n"
"delete_service_files: \n"
"\t@echo \" (OK) delete service files\"\n"
"\t@rm -rf $(EXECDIR)/$(DIRNAME)\n"
"\t@rm -rf $(CONFDIR)\n"
"\t@rm -rf $(SOCKDIR)/$(DIRNAME)*\n"
"\n"
".PHONY: disable_service\n"
"disable_service:\n"
"\t@# IF INSTALLATION WAS DONE UNPREFIXED TO /etc, the service will be disabled \n"
"\t@ifndef ($(PREFIX)) \\\n"
"\t\t@echo \" (OK) disable service\" \\\n"
"\t\t$(shell systemctl stop $(DIRNAME).service) \\\n"
"\t\t$(shell systemctl disable $(DIRNAME).service) \\\n"
"\t\t$(shell systemctl stop $(DIRNAME).socket) \\\n"
"\t\t$(shell systemctl disable $(DIRNAME).socket) \\\n"
"\t\t$(shell systemctl daemon-reload) \\\n"
"\t@endif\n"
"\n"
".PHONY: uninstall_service\n"
"uninstall_service: disable_service delete_service_files\n"
"\t@echo \" (OK) uninstalled $(DIRNAME) from $(EXECDIR)\"\n"
,
bash_header,
file_name,
project,
path_bin,
path_build,
path_include,
path_source,
path_tests,
path_bin,
path_build,
path_include,
path_source,
path_source,
path_tests,
suffix_test_source,
path_tests,
suffix_test_source,
path_tests,
path_build,
suffix_test_exec,
path_tools,
script_unit_tests,
script_acceptance_tests,
script_coverage_tests,
script_loc,
script_gcov,
script_gprof,
suffix_test_source,
suffix_test_source,
target_all,
target_install,
target_uninstall,
path_bin,
path_build,
path_build,
path_build,
path_build,
path_build,
path_bin,
path_build,
path_doxygen,
path_doxygen,
path_tests,
path_build,
path_build,
suffix_test_source,
suffix_test_exec,
path_tests,
suffix_test_source,
path_build,
suffix_test_source,
suffix_test_exec,
path_tests,
suffix_test_source))
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
char *testrun_generate_makefile(
const char *project,
const char *file_name,
const char *version,
const char *cflags,
const char *project_url,
const char *project_desc,
const char *path_service,
const char *makefile_common
){
if ( !project ||
!file_name ||
!version ||
!path_service ||
!makefile_common)
return NULL;
size_t size = 20000;
char buffer[size];
memset(buffer, 0, size);
if (0 > snprintf(buffer, size,
"%s"
"#\n"
"# File %s\n"
"# Authors Markus Toepfer\n"
"# Authors ...\n"
"# Date 2018-02-18\n"
"#\n"
"# Project %s\n"
"#\n"
"# Description This makefile defines project specific parameter.\n"
"#\n"
"# These parameter are:\n"
"# (1) used compiler and special flags\n"
"# (2) name and version\n"
"# (3) installation prefix\n"
"# (4) used libraries\n"
"# (5) general makefiles used\n"
"#\n"
"# Usage make\n"
"#\n"
"# Dependencies make & compiler\n"
"#\n"
"# Last changed 2018-07-12\n"
"# ------------------------------------------------------------------------\n"
"\n"
"CC = gcc\n"
"\n"
"PROJECT\t\t\t:= %s\n"
"VERSION\t\t\t:= %s\n"
"\n"
"# project path recalculation (if used included from a parent make)\n"
"PROJECTMK\t\t:= $(abspath $(lastword $(MAKEFILE_LIST)))\n"
"\n"
"# prefix for base directory for installation (default is /)\n"
"#PREFIX\t\t\t:= some_path\n"
"\n"
"# include all pkgconfig files available at PREFIX\n"
"export PKG_CONFIG_PATH = $(PREFIX)/usr/local/lib/pkgconfig\n"
"\n"
"# LIBS USED (uncommented example includes)\n"
"# ... will allow to include libs installed under PREFIX\n"
"#LIBS\t\t\t+= `pkg-config --cflags --libs libtestrun.info`\n"
"#LIBS\t\t\t+= `pkg-config --libs libsystemd`\n"
"#LIBS\t\t\t+= `pkg-config --libs uuid`\n"
"#LIBS\t\t\t+= `pkg-config --libs openssl`\n"
"\n"
"# MODULE BASED CFLAGS (example)\n"
"MODCFLAGS\t\t+= %s\n"
"\n"
"# EXTRA CFLAGS (example parallel or other GCC custom flags)\n"
"#MODCFLAGS\t\t+= -fopenmp\n"
"#MODCFLAGS\t\t+= -rdynamic\n"
"\n"
"# EXTRA LFLAGS (example)\n"
"#MODLFLAGS\t\t+= -pthread\n"
"\n"
"# PKG_CONFIG_DATA (used during LIBRARY install)\n"
"PROJECT_URL\t\t= \"%s\"\n"
"PROJECT_DESC\t= \"%s\"\n"
"\n"
"# SERVICE_CONFIG_DATA (used during SERVICE install)\n"
"SERVICE_DATA\t= \"%s\"\n"
"\n"
"# TMP FILE DEFINITION\n"
"TESTS_TMP_FILES\t= $(wildcard /tmp/test_*)\n"
"\n"
"# INCLUDE BASE MAKEFILE\n"
"include %s\n"
,
bash_header,
file_name,
project,
project,
version,
cflags,
project_url,
project_desc,
path_service,
makefile_common
))
return NULL;
return strdup(buffer);
}
/*----------------------------------------------------------------------------*/
testrun_tools testrun_tools_default(){
struct testrun_tools tools = {
.testrun_header = testrun_generate_header,
.testrun_header_openmp = testrun_generate_header_openmp,
.testrun_simple_tests = testrun_generate_script_simple_tests,
.testrun_runner = testrun_generate_script_runner,
.testrun_loc = testrun_generate_script_loc,
.testrun_simple_coverage = testrun_generate_script_coverage,
.testrun_gcov = testrun_generate_script_gcov,
.testrun_gprof = testrun_generate_script_gprof,
.makefile_configurable = testrun_generate_makefile,
.makefile_common = testrun_generate_makefile_common,
.gitignore = testrun_generate_gitignore,
.readme = testrun_generate_readme,
.doxygen = testrun_generate_doxygen,
.service_file = testrun_generate_service_file,
.socket_file = testrun_generate_socket_file
};
return tools;
}
/*----------------------------------------------------------------------------*/
bool testrun_tools_validate(const testrun_tools *self){
if ( !self ||
!self->testrun_header ||
!self->testrun_header_openmp ||
!self->testrun_simple_tests ||
!self->testrun_runner ||
!self->testrun_loc ||
!self->testrun_simple_coverage ||
!self->testrun_gcov ||
!self->testrun_gprof ||
!self->makefile_configurable ||
!self->makefile_common ||
!self->gitignore ||
!self->readme ||
!self->doxygen ||
!self->service_file ||
!self->socket_file)
return false;
return true;
}
|
matmul.c | //------------------------------------------------------------------------------------------------------------------------------
// Samuel Williams
// SWWilliams@lbl.gov
// Lawrence Berkeley National Lab
//------------------------------------------------------------------------------------------------------------------------------
#include <stdint.h>
#include "../timer.h"
//------------------------------------------------------------------------------------------------------------------------------
void matmul_grids(domain_type * domain, int level, double *C, int * id_A, int * id_B, int rows, int cols, int A_equals_B_transpose){
// *id_A = m grid_id's (conceptually pointers to the rows of a m x domain->subdomains_per_rank*volume matrix)
// *id_B = n grid_id's (conceptually pointers to the columns of a domain->subdomains_per_rank*volume matrix x n)
// *C is a mxn matrix where C[rows][cols] = dot(id_A[rows],id_B[cols])
// FIX, id_A and id_B are likely the same and thus C[][] will be symmetric (modulo missing row?)
// if(A_equals_B_transpose && (cols>=rows)) then use id_B and only run for nn>=mm // common case for s-step Krylov methods
// C_is_symmetric && cols< rows (use id_A)
int omp_across_matrix = 1;
int omp_within_a_box = 0;
int mm,nn;
uint64_t _timeStart = CycleTime();
#pragma omp parallel for private(mm,nn) if(omp_across_matrix) collapse(2) schedule(static,1)
for(mm=0;mm<rows;mm++){
for(nn=0;nn<cols;nn++){
if(nn>=mm){ // upper triangular
int box;
double a_dot_b_domain = 0.0;
for(box=0;box<domain->subdomains_per_rank;box++){
int i,j,k;
int pencil = domain->subdomains[box].levels[level].pencil;
int plane = domain->subdomains[box].levels[level].plane;
int ghosts = domain->subdomains[box].levels[level].ghosts;
int dim_k = domain->subdomains[box].levels[level].dim.k;
int dim_j = domain->subdomains[box].levels[level].dim.j;
int dim_i = domain->subdomains[box].levels[level].dim.i;
double * __restrict__ grid_a = domain->subdomains[box].levels[level].grids[id_A[mm]] + ghosts*(1+pencil+plane); // i.e. [0] = first non ghost zone point
double * __restrict__ grid_b = domain->subdomains[box].levels[level].grids[id_B[nn]] + ghosts*(1+pencil+plane);
double a_dot_b_box = 0.0;
#pragma omp parallel for private(i,j,k) if(omp_within_a_box) collapse(2) reduction(+:a_dot_b_box)
for(k=0;k<dim_k;k++){
for(j=0;j<dim_j;j++){
for(i=0;i<dim_i;i++){
int ijk = i + j*pencil + k*plane;
a_dot_b_box += grid_a[ijk]*grid_b[ijk];
}}}
a_dot_b_domain+=a_dot_b_box;
}
C[mm*cols + nn] = a_dot_b_domain; // C[mm][nn]
if((mm<cols)&&(nn<rows)){C[nn*cols + mm] = a_dot_b_domain;}// C[nn][mm]
}
}}
domain->cycles.blas3[level] += (uint64_t)(CycleTime()-_timeStart);
#ifdef __MPI
double *send_buffer = (double*)malloc(rows*cols*sizeof(double));
for(mm=0;mm<rows;mm++){
for(nn=0;nn<cols;nn++){
send_buffer[mm*cols + nn] = C[mm*cols + nn];
}}
uint64_t _timeStartAllReduce = CycleTime();
MPI_Allreduce(send_buffer,C,rows*cols,MPI_DOUBLE,MPI_SUM,MPI_COMM_WORLD);
uint64_t _timeEndAllReduce = CycleTime();
domain->cycles.collectives[level] += (uint64_t)(_timeEndAllReduce-_timeStartAllReduce);
domain->cycles.communication[level] += (uint64_t)(_timeEndAllReduce-_timeStartAllReduce);
free(send_buffer);
#endif
}
|
par_rap_communication.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)
******************************************************************************/
#include "_hypre_parcsr_ls.h"
HYPRE_Int
hypre_GetCommPkgRTFromCommPkgA( hypre_ParCSRMatrix *RT,
hypre_ParCSRMatrix *A,
HYPRE_Int *fine_to_coarse,
HYPRE_Int *tmp_map_offd)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(RT);
hypre_ParCSRCommPkg *comm_pkg_A = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
HYPRE_Int num_recvs_A = hypre_ParCSRCommPkgNumRecvs(comm_pkg_A);
HYPRE_Int *recv_procs_A = hypre_ParCSRCommPkgRecvProcs(comm_pkg_A);
HYPRE_Int *recv_vec_starts_A = hypre_ParCSRCommPkgRecvVecStarts(comm_pkg_A);
HYPRE_Int num_sends_A = hypre_ParCSRCommPkgNumSends(comm_pkg_A);
HYPRE_Int *send_procs_A = hypre_ParCSRCommPkgSendProcs(comm_pkg_A);
HYPRE_Int *send_map_starts_A = hypre_ParCSRCommPkgSendMapStarts(comm_pkg_A);
hypre_ParCSRCommPkg *comm_pkg;
HYPRE_Int num_recvs_RT;
HYPRE_Int *recv_procs_RT;
HYPRE_Int *recv_vec_starts_RT;
HYPRE_Int num_sends_RT;
HYPRE_Int *send_procs_RT;
HYPRE_Int *send_map_starts_RT;
HYPRE_Int *send_map_elmts_RT;
HYPRE_BigInt *col_map_offd_RT = hypre_ParCSRMatrixColMapOffd(RT);
HYPRE_Int num_cols_offd_RT = hypre_CSRMatrixNumCols( hypre_ParCSRMatrixOffd(RT));
HYPRE_BigInt first_col_diag = hypre_ParCSRMatrixFirstColDiag(RT);
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(A));
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(hypre_ParCSRMatrixOffd(A));
HYPRE_BigInt *fine_to_coarse_offd = NULL;
HYPRE_BigInt *big_buf_data = NULL;
HYPRE_BigInt *send_big_elmts = NULL;
HYPRE_BigInt my_first_cpt;
HYPRE_Int i, j;
HYPRE_Int vec_len, vec_start;
HYPRE_Int num_procs, my_id;
HYPRE_Int ierr = 0;
HYPRE_Int num_requests;
HYPRE_Int offd_col, proc_num;
HYPRE_Int num_threads = hypre_NumThreads();
HYPRE_Int size, rest, ns, ne, start;
HYPRE_Int index;
HYPRE_Int *proc_mark;
HYPRE_Int *change_array;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
hypre_MPI_Request *requests;
hypre_MPI_Status *status;
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
/*--------------------------------------------------------------------------
* determine num_recvs, recv_procs and recv_vec_starts for RT
*--------------------------------------------------------------------------*/
proc_mark = hypre_CTAlloc(HYPRE_Int, num_recvs_A, HYPRE_MEMORY_HOST);
for (i=0; i < num_recvs_A; i++)
proc_mark[i] = 0;
proc_num = 0;
num_recvs_RT = 0;
if (num_cols_offd_RT)
{
for (i=0; i < num_recvs_A; i++)
{
for (j=recv_vec_starts_A[i]; j<recv_vec_starts_A[i+1]; j++)
{
offd_col = tmp_map_offd[proc_num];
if (offd_col == j)
{
proc_mark[i]++;
proc_num++;
if (proc_num == num_cols_offd_RT) break;
}
}
if (proc_mark[i]) num_recvs_RT++;
if (proc_num == num_cols_offd_RT) break;
}
}
fine_to_coarse_offd = hypre_CTAlloc(HYPRE_BigInt, num_cols_A_offd, HYPRE_MEMORY_HOST);
big_buf_data = hypre_CTAlloc(HYPRE_BigInt, send_map_starts_A[num_sends_A], HYPRE_MEMORY_HOST);
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
#ifdef HYPRE_NO_GLOBAL_PARTITION
my_first_cpt = hypre_ParCSRMatrixColStarts(RT)[0];
#else
my_first_cpt = hypre_ParCSRMatrixColStarts(RT)[my_id];
#endif
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) coarse_shift = coarse_counter[j-1];
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
fine_to_coarse[i] += coarse_shift;
}
index = 0;
for (i = 0; i < num_sends_A; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg_A, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg_A, i+1); j++)
big_buf_data[index++] = my_first_cpt+
(HYPRE_BigInt)fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg_A,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 21, comm_pkg_A, big_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
for (i=0; i < num_cols_offd_RT; i++)
col_map_offd_RT[i] = fine_to_coarse_offd[tmp_map_offd[i]];
hypre_TFree(big_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
//hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
recv_procs_RT = hypre_CTAlloc(HYPRE_Int, num_recvs_RT, HYPRE_MEMORY_HOST);
recv_vec_starts_RT = hypre_CTAlloc(HYPRE_Int, num_recvs_RT+1, HYPRE_MEMORY_HOST);
j = 0;
recv_vec_starts_RT[0] = 0;
for (i=0; i < num_recvs_A; i++)
{
if (proc_mark[i])
{
recv_procs_RT[j] = recv_procs_A[i];
recv_vec_starts_RT[j+1] = recv_vec_starts_RT[j]+proc_mark[i];
j++;
}
}
/*--------------------------------------------------------------------------
* send num_changes to recv_procs_A and receive change_array from send_procs_A
*--------------------------------------------------------------------------*/
num_requests = num_recvs_A+num_sends_A;
requests = hypre_CTAlloc(hypre_MPI_Request, num_requests, HYPRE_MEMORY_HOST);
status = hypre_CTAlloc(hypre_MPI_Status, num_requests, HYPRE_MEMORY_HOST);
change_array = hypre_CTAlloc(HYPRE_Int, num_sends_A, HYPRE_MEMORY_HOST);
j = 0;
for (i=0; i < num_sends_A; i++)
hypre_MPI_Irecv(&change_array[i],1,HYPRE_MPI_INT,send_procs_A[i],0,comm,
&requests[j++]);
for (i=0; i < num_recvs_A; i++)
hypre_MPI_Isend(&proc_mark[i],1,HYPRE_MPI_INT,recv_procs_A[i],0,comm,
&requests[j++]);
hypre_MPI_Waitall(num_requests,requests,status);
hypre_TFree(proc_mark, HYPRE_MEMORY_HOST);
/*--------------------------------------------------------------------------
* if change_array[i] is 0 , omit send_procs_A[i] in send_procs_RT
*--------------------------------------------------------------------------*/
num_sends_RT = 0;
for (i=0; i < num_sends_A; i++)
if (change_array[i])
{
num_sends_RT++;
}
send_procs_RT = hypre_CTAlloc(HYPRE_Int, num_sends_RT, HYPRE_MEMORY_HOST);
send_map_starts_RT = hypre_CTAlloc(HYPRE_Int, num_sends_RT+1, HYPRE_MEMORY_HOST);
j = 0;
send_map_starts_RT[0] = 0;
for (i=0; i < num_sends_A; i++)
{
if (change_array[i])
{
send_procs_RT[j] = send_procs_A[i];
send_map_starts_RT[j+1] = send_map_starts_RT[j]+change_array[i];
j++;
}
}
/*--------------------------------------------------------------------------
* generate send_map_elmts
*--------------------------------------------------------------------------*/
send_map_elmts_RT = hypre_CTAlloc(HYPRE_Int, send_map_starts_RT[num_sends_RT], HYPRE_MEMORY_HOST);
send_big_elmts = hypre_CTAlloc(HYPRE_BigInt, send_map_starts_RT[num_sends_RT], HYPRE_MEMORY_HOST);
j = 0;
for (i=0; i < num_sends_RT; i++)
{
vec_start = send_map_starts_RT[i];
vec_len = send_map_starts_RT[i+1]-vec_start;
hypre_MPI_Irecv(&send_big_elmts[vec_start],vec_len,HYPRE_MPI_BIG_INT,
send_procs_RT[i],0,comm,&requests[j++]);
}
for (i=0; i < num_recvs_RT; i++)
{
vec_start = recv_vec_starts_RT[i];
vec_len = recv_vec_starts_RT[i+1] - vec_start;
hypre_MPI_Isend(&col_map_offd_RT[vec_start],vec_len,HYPRE_MPI_BIG_INT,
recv_procs_RT[i],0,comm,&requests[j++]);
}
hypre_MPI_Waitall(j,requests,status);
for (i=0; i < send_map_starts_RT[num_sends_RT]; i++)
send_map_elmts_RT[i] = (HYPRE_Int)(send_big_elmts[i]-first_col_diag);
comm_pkg = hypre_CTAlloc(hypre_ParCSRCommPkg, 1, HYPRE_MEMORY_HOST);
hypre_ParCSRCommPkgComm(comm_pkg) = comm;
hypre_ParCSRCommPkgNumSends(comm_pkg) = num_sends_RT;
hypre_ParCSRCommPkgNumRecvs(comm_pkg) = num_recvs_RT;
hypre_ParCSRCommPkgSendProcs(comm_pkg) = send_procs_RT;
hypre_ParCSRCommPkgRecvProcs(comm_pkg) = recv_procs_RT;
hypre_ParCSRCommPkgRecvVecStarts(comm_pkg) = recv_vec_starts_RT;
hypre_ParCSRCommPkgSendMapStarts(comm_pkg) = send_map_starts_RT;
hypre_ParCSRCommPkgSendMapElmts(comm_pkg) = send_map_elmts_RT;
hypre_TFree(status, HYPRE_MEMORY_HOST);
hypre_TFree(requests, HYPRE_MEMORY_HOST);
hypre_TFree(send_big_elmts, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixCommPkg(RT) = comm_pkg;
hypre_TFree(change_array, HYPRE_MEMORY_HOST);
return ierr;
}
HYPRE_Int
hypre_GenerateSendMapAndCommPkg(MPI_Comm comm, HYPRE_Int num_sends, HYPRE_Int num_recvs,
HYPRE_Int *recv_procs, HYPRE_Int *send_procs,
HYPRE_Int *recv_vec_starts, hypre_ParCSRMatrix *A)
{
HYPRE_Int *send_map_starts;
HYPRE_Int *send_map_elmts;
HYPRE_Int i, j;
HYPRE_Int num_requests = num_sends+num_recvs;
hypre_MPI_Request *requests;
hypre_MPI_Status *status;
HYPRE_Int vec_len, vec_start;
hypre_ParCSRCommPkg *comm_pkg;
HYPRE_BigInt *col_map_offd = hypre_ParCSRMatrixColMapOffd(A);
HYPRE_BigInt first_col_diag = hypre_ParCSRMatrixFirstColDiag(A);
HYPRE_BigInt *send_big_elmts = NULL;
/*--------------------------------------------------------------------------
* generate send_map_starts and send_map_elmts
*--------------------------------------------------------------------------*/
requests = hypre_CTAlloc(hypre_MPI_Request, num_requests, HYPRE_MEMORY_HOST);
status = hypre_CTAlloc(hypre_MPI_Status, num_requests, HYPRE_MEMORY_HOST);
send_map_starts = hypre_CTAlloc(HYPRE_Int, num_sends+1, HYPRE_MEMORY_HOST);
j = 0;
for (i=0; i < num_sends; i++)
hypre_MPI_Irecv(&send_map_starts[i+1],1,HYPRE_MPI_INT,send_procs[i],0,comm,
&requests[j++]);
for (i=0; i < num_recvs; i++)
{
vec_len = recv_vec_starts[i+1] - recv_vec_starts[i];
hypre_MPI_Isend(&vec_len,1,HYPRE_MPI_INT, recv_procs[i],0,comm,&requests[j++]);
}
hypre_MPI_Waitall(j,requests,status);
send_map_starts[0] = 0;
for (i=0; i < num_sends; i++)
send_map_starts[i+1] += send_map_starts[i];
send_map_elmts = hypre_CTAlloc(HYPRE_Int, send_map_starts[num_sends], HYPRE_MEMORY_HOST);
send_big_elmts = hypre_CTAlloc(HYPRE_BigInt, send_map_starts[num_sends], HYPRE_MEMORY_HOST);
j = 0;
for (i=0; i < num_sends; i++)
{
vec_start = send_map_starts[i];
vec_len = send_map_starts[i+1]-vec_start;
hypre_MPI_Irecv(&send_big_elmts[vec_start],vec_len,HYPRE_MPI_BIG_INT,
send_procs[i],0,comm,&requests[j++]);
}
for (i=0; i < num_recvs; i++)
{
vec_start = recv_vec_starts[i];
vec_len = recv_vec_starts[i+1] - vec_start;
hypre_MPI_Isend(&col_map_offd[vec_start],vec_len,HYPRE_MPI_BIG_INT,
recv_procs[i],0,comm,&requests[j++]);
}
hypre_MPI_Waitall(j,requests,status);
for (i=0; i < send_map_starts[num_sends]; i++)
send_map_elmts[i] = (HYPRE_Int)(send_big_elmts[i]-first_col_diag);
comm_pkg = hypre_CTAlloc(hypre_ParCSRCommPkg, 1, HYPRE_MEMORY_HOST);
hypre_ParCSRCommPkgComm(comm_pkg) = comm;
hypre_ParCSRCommPkgNumSends(comm_pkg) = num_sends;
hypre_ParCSRCommPkgNumRecvs(comm_pkg) = num_recvs;
hypre_ParCSRCommPkgSendProcs(comm_pkg) = send_procs;
hypre_ParCSRCommPkgRecvProcs(comm_pkg) = recv_procs;
hypre_ParCSRCommPkgRecvVecStarts(comm_pkg) = recv_vec_starts;
hypre_ParCSRCommPkgSendMapStarts(comm_pkg) = send_map_starts;
hypre_ParCSRCommPkgSendMapElmts(comm_pkg) = send_map_elmts;
hypre_TFree(status, HYPRE_MEMORY_HOST);
hypre_TFree(requests, HYPRE_MEMORY_HOST);
hypre_TFree(send_big_elmts, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixCommPkg(A) = comm_pkg;
return 0;
}
|
Euclid_apply.c | /******************************************************************************
* Copyright (c) 1998 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)
******************************************************************************/
#include "_hypre_Euclid.h"
/* #include "Euclid_dh.h" */
/* #include "Mat_dh.h" */
/* #include "Factor_dh.h" */
/* #include "Parser_dh.h" */
/* #include "TimeLog_dh.h" */
/* #include "SubdomainGraph_dh.h" */
static void scale_rhs_private(Euclid_dh ctx, HYPRE_Real *rhs);
static void permute_vec_n2o_private(Euclid_dh ctx, HYPRE_Real *xIN, HYPRE_Real *xOUT);
static void permute_vec_o2n_private(Euclid_dh ctx, HYPRE_Real *xIN, HYPRE_Real *xOUT);
#undef __FUNC__
#define __FUNC__ "Euclid_dhApply"
void Euclid_dhApply(Euclid_dh ctx, HYPRE_Real *rhs, HYPRE_Real *lhs)
{
START_FUNC_DH
HYPRE_Real *rhs_, *lhs_;
HYPRE_Real t1, t2;
t1 = hypre_MPI_Wtime();
/* default settings; for everything except PILU */
ctx->from = 0;
ctx->to = ctx->m;
/* case 1: no preconditioning */
if (! strcmp(ctx->algo_ilu, "none") || ! strcmp(ctx->algo_par, "none")) {
HYPRE_Int i, m = ctx->m;
for (i=0; i<m; ++i) lhs[i] = rhs[i];
goto END_OF_FUNCTION;
}
/*----------------------------------------------------------------
* permute and scale rhs vector
*----------------------------------------------------------------*/
/* permute rhs vector */
if (ctx->sg != NULL) {
/* hypre_printf("@@@@@@@@@@@@@@@@@ permute_vec_n2o_private\n"); */
permute_vec_n2o_private(ctx, rhs, lhs); CHECK_V_ERROR;
rhs_ = lhs;
lhs_ = ctx->work2;
} else {
rhs_ = rhs;
lhs_ = lhs;
}
/* scale rhs vector */
if (ctx->isScaled) {
/* hypre_printf("@@@@@@@@@@@@@@@@@ scale_rhs_private\n"); */
scale_rhs_private(ctx, rhs_); CHECK_V_ERROR;
}
/* note: rhs_ is permuted, scaled; the input, "rhs" vector has
not been disturbed.
*/
/*----------------------------------------------------------------
* big switch to choose the appropriate triangular solve
*----------------------------------------------------------------*/
/* sequential and mpi block jacobi cases */
if (np_dh == 1 ||
! strcmp(ctx->algo_par, "bj") ) {
Factor_dhSolveSeq(rhs_, lhs_, ctx); CHECK_V_ERROR;
}
/* pilu case */
else {
Factor_dhSolve(rhs_, lhs_, ctx); CHECK_V_ERROR;
}
/*----------------------------------------------------------------
* unpermute lhs vector
* (note: don't need to unscale, because we were clever)
*----------------------------------------------------------------*/
if (ctx->sg != NULL) {
permute_vec_o2n_private(ctx, lhs_, lhs); CHECK_V_ERROR;
}
END_OF_FUNCTION: ;
t2 = hypre_MPI_Wtime();
/* collective timing for triangular solves */
ctx->timing[TRI_SOLVE_T] += (t2 - t1);
/* collective timing for setup+krylov+triSolves
(intent is to time linear solve, but this is
at best probelematical!)
*/
ctx->timing[TOTAL_SOLVE_TEMP_T] = t2 - ctx->timing[SOLVE_START_T];
/* total triangular solve count */
ctx->its += 1;
ctx->itsTotal += 1;
END_FUNC_DH
}
#undef __FUNC__
#define __FUNC__ "scale_rhs_private"
void scale_rhs_private(Euclid_dh ctx, HYPRE_Real *rhs)
{
START_FUNC_DH
HYPRE_Int i, m = ctx->m;
REAL_DH *scale = ctx->scale;
/* if matrix was scaled, must scale the rhs */
if (scale != NULL) {
#ifdef USING_OPENMP_DH
#pragma omp for schedule(static)
#endif
for (i=0; i<m; ++i) { rhs[i] *= scale[i]; }
}
END_FUNC_DH
}
#undef __FUNC__
#define __FUNC__ "permute_vec_o2n_private"
void permute_vec_o2n_private(Euclid_dh ctx, HYPRE_Real *xIN, HYPRE_Real *xOUT)
{
START_FUNC_DH
HYPRE_Int i, m = ctx->m;
HYPRE_Int *o2n = ctx->sg->o2n_col;
for (i=0; i<m; ++i) xOUT[i] = xIN[o2n[i]];
END_FUNC_DH
}
#undef __FUNC__
#define __FUNC__ "permute_vec_n2o_private"
void permute_vec_n2o_private(Euclid_dh ctx, HYPRE_Real *xIN, HYPRE_Real *xOUT)
{
START_FUNC_DH
HYPRE_Int i, m = ctx->m;
HYPRE_Int *n2o = ctx->sg->n2o_row;
for (i=0; i<m; ++i) xOUT[i] = xIN[n2o[i]];
END_FUNC_DH
}
|
jacobi-omp4.c | /*
* BSD 2-Clause License
*
* Copyright (c) 2020, Alessandro Capotondi
* All rights reserved.
*
* 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 following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* 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 THE COPYRIGHT HOLDER 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.
*/
/**
* @file jacobi.c
* @author Alessandro Capotondi
* @date 27 Mar 2020
* @brief This code solves the steady state heat equation on a rectangular region.
* This code solves the steady state heat equation on a rectangular region.
* The sequential version of this program needs approximately
* 18/epsilon iterations to complete.
* The physical region, and the boundary conditions, are suggested
* by this diagram;
* W = 0
* +------------------+
* | |
* W = 100 | | W = 100
* | |
* +------------------+
* W = 100
* The region is covered with a grid of M by N nodes, and an N by N
* array W is used to record the temperature. The correspondence between
* array indices and locations in the region is suggested by giving the
* indices of the four corners:
* I = 0
* [0][0]-------------[0][N-1]
* | |
* J = 0 | | J = N-1
* | |
* [M-1][0]-----------[M-1][N-1]
* I = M-1
* The steady state solution to the discrete heat equation satisfies the
* following condition at an interior grid point:
* W[Central] = (1/4) * ( W[North] + W[South] + W[East] + W[West] )
* where "Central" is the index of the grid point, "North" is the index
* of its immediate neighbor to the "north", and so on.
*
* Given an approximate solution of the steady state heat equation, a
* "better" solution is given by replacing each interior point by the
* average of its 4 neighbors - in other words, by using the condition
* as an ASSIGNMENT statement:
* W[Central] <= (1/4) * ( W[North] + W[South] + W[East] + W[West] )
* If this process is repeated often enough, the difference between successive
* estimates of the solution will go to zero.
* This program carries out such an iteration, using a tolerance specified by
* the user, and writes the final estimate of the solution to a file that can
* be used for graphic processing.
* icensing:
* This code is distributed under the GNU LGPL license.
* odified:
* 18 October 2011
* uthor:
* Original C version by Michael Quinn.
* This C version by John Burkardt.
* eference:
* Michael Quinn,
* Parallel Programming in C with MPI and OpenMP,
* McGraw-Hill, 2004,
* ISBN13: 978-0071232654,
* LC: QA76.73.C15.Q55.
* ocal parameters:
* Local, double DIFF, the norm of the change in the solution from one iteration
* to the next.
* Local, double MEAN, the average of the boundary values, used to initialize
* the values of the solution in the interior.
* Local, double U[M][N], the solution at the previous iteration.
* Local, double W[M][N], the solution computed at the latest iteration.
*
*
* @see https://en.wikipedia.org/wiki/Jacobi_method
* @see http://algo.ing.unimo.it/people/andrea/Didattica/HPC/index.html
*/
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/time.h>
#include "utils.h"
static int N;
static int MAX_ITERATIONS;
static int SEED;
static double CONVERGENCE_THRESHOLD;
static FILE *data;
#define SEPARATOR "------------------------------------\n"
// Return the current time in seconds since the Epoch
double get_timestamp();
// Parse command line arguments to set solver parameters
void parse_arguments(int argc, char *argv[]);
// Run the Jacobi solver
// Returns the number of iterations performed
int run(double *restrict A, double *restrict xtmp)
{
int iter = 0, iterations_print = 1;
double err = 0.0;
#pragma omp target enter data map(to \
: A [0:N * N]) map(alloc \
: xtmp [0:N * N])
do
{
err = 0.0;
#pragma omp target teams num_teams(N / NTHREADS_GPU) thread_limit(NTHREADS_GPU) map(tofrom \
: err)
#pragma omp distribute parallel for collapse(2) num_threads(NTHREADS_GPU) dist_schedule(static, NTHREADS_GPU) reduction(max \
: err)
for (int i = 1; i < N - 1; i++)
{
for (int j = 1; j < N - 1; j++)
{
xtmp[i * N + j] = 0.25 * (A[(i - 1) * N + j] + A[(i + 1) * N + j] + A[i * N + j - 1] + A[i * N + j + 1]);
double diff = fabs(xtmp[i * N + j] - A[i * N + j]);
int swap = diff > err;
err = diff * swap + err * !swap;
}
}
#pragma omp target teams num_teams(N / NTHREADS_GPU) thread_limit(NTHREADS_GPU)
#pragma omp distribute parallel for collapse(2) num_threads(NTHREADS_GPU) dist_schedule(static, NTHREADS_GPU)
for (int i = 0; i < N; i++)
{
for (int j = 0; j < N; j++)
{
A[i * N + j] = xtmp[i * N + j];
}
}
iter++;
#ifdef DEBUG
if (iter == iterations_print)
{
printf(" %8d %f\n", iter, err);
iterations_print = 2 * iterations_print;
}
#endif
} while (err > CONVERGENCE_THRESHOLD && iter < MAX_ITERATIONS);
#pragma omp target exit data map(from \
: A [0:N * N]) map(release \
: xtmp)
return iter;
}
int main(int argc, char *argv[])
{
parse_arguments(argc, argv);
double *A = malloc(N * N * sizeof(double));
double *xtmp = malloc(N * N * sizeof(double));
printf(SEPARATOR);
printf("Matrix size: %dx%d\n", N, N);
printf("Maximum iterations: %d\n", MAX_ITERATIONS);
printf("Convergence threshold: %lf\n", CONVERGENCE_THRESHOLD);
printf(SEPARATOR);
for (int ii = 0; ii < N; ii++)
{
for (int jj = 0; jj < N; jj++)
{
double f;
fread(&f, sizeof(double), 1, data);
A[ii * N + jj] = f;
}
}
// Run Jacobi solver
start_timer();
int itr = run(A, xtmp);
stop_timer();
printf("Iterations = %d\n", itr);
printf("Solver runtime = %lf ms\n", elapsed_ns() / 1E6);
if (itr == MAX_ITERATIONS)
printf("WARNING: solution did not converge\n");
printf(SEPARATOR);
free(A);
free(xtmp);
fclose(data);
return 0;
}
int parse_int(const char *str)
{
char *next;
int value = strtoul(str, &next, 10);
return strlen(next) ? -1 : value;
}
double parse_double(const char *str)
{
char *next;
double value = strtod(str, &next);
return strlen(next) ? -1 : value;
}
void parse_arguments(int argc, char *argv[])
{
// Set default values
N = 500;
MAX_ITERATIONS = 2000;
CONVERGENCE_THRESHOLD = 0.001;
SEED = 0;
for (int i = 1; i < argc; i++)
{
if (!strcmp(argv[i], "--convergence") || !strcmp(argv[i], "-c"))
{
if (++i >= argc || (CONVERGENCE_THRESHOLD = parse_double(argv[i])) < 0)
{
printf("Invalid convergence threshold\n");
exit(1);
}
}
else if (!strcmp(argv[i], "--iterations") || !strcmp(argv[i], "-i"))
{
if (++i >= argc || (MAX_ITERATIONS = parse_int(argv[i])) < 0)
{
printf("Invalid number of iterations\n");
exit(1);
}
}
else if (!strcmp(argv[i], "--norder") || !strcmp(argv[i], "-n"))
{
if (++i >= argc || (N = parse_int(argv[i])) < 0)
{
printf("Invalid matrix order\n");
exit(1);
}
}
else if (!strcmp(argv[i], "--help") || !strcmp(argv[i], "-h"))
{
printf("\n");
printf("Usage: ./jacobi [OPTIONS]\n\n");
printf("Options:\n");
printf(" -h --help Print this message\n");
printf(" -c --convergence C Set convergence threshold\n");
printf(" -i --iterations I Set maximum number of iterations\n");
printf(" -n --norder N Set maxtrix order (500 or 1000)\n");
printf("\n");
exit(0);
}
else
{
printf("Unrecognized argument '%s' (try '--help')\n", argv[i]);
exit(1);
}
}
if (N == 1000)
data = fopen("data/jacobi-1000.bin", "rb");
else if (N == 500)
data = fopen("data/jacobi-500.bin", "rb");
else
{
printf("Invalid matrix order\n");
exit(1);
}
}
|
search.h | // -*- C++ -*-
// Copyright (C) 2007, 2008, 2009 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library 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.
// 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
// General Public License for more details.
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
/** @file parallel/search.h
* @brief Parallel implementation base for std::search() and
* std::search_n().
* This file is a GNU parallel extension to the Standard C++ Library.
*/
// Written by Felix Putze.
#ifndef _GLIBCXX_PARALLEL_SEARCH_H
#define _GLIBCXX_PARALLEL_SEARCH_H 1
#include <bits/stl_algobase.h>
#include <parallel/parallel.h>
#include <parallel/equally_split.h>
namespace __gnu_parallel
{
/**
* @brief Precalculate advances for Knuth-Morris-Pratt algorithm.
* @param elements Begin iterator of sequence to search for.
* @param length Length of sequence to search for.
* @param advances Returned offsets.
*/
template<typename RandomAccessIterator, typename _DifferenceTp>
void
calc_borders(RandomAccessIterator elements, _DifferenceTp length,
_DifferenceTp* off)
{
typedef _DifferenceTp difference_type;
off[0] = -1;
if (length > 1)
off[1] = 0;
difference_type k = 0;
for (difference_type j = 2; j <= length; j++)
{
while ((k >= 0) && !(elements[k] == elements[j-1]))
k = off[k];
off[j] = ++k;
}
}
// Generic parallel find algorithm (requires random access iterator).
/** @brief Parallel std::search.
* @param begin1 Begin iterator of first sequence.
* @param end1 End iterator of first sequence.
* @param begin2 Begin iterator of second sequence.
* @param end2 End iterator of second sequence.
* @param pred Find predicate.
* @return Place of finding in first sequences. */
template<typename _RandomAccessIterator1,
typename _RandomAccessIterator2,
typename Pred>
_RandomAccessIterator1
search_template(_RandomAccessIterator1 begin1, _RandomAccessIterator1 end1,
_RandomAccessIterator2 begin2, _RandomAccessIterator2 end2,
Pred pred)
{
typedef std::iterator_traits<_RandomAccessIterator1> traits_type;
typedef typename traits_type::difference_type difference_type;
_GLIBCXX_CALL((end1 - begin1) + (end2 - begin2));
difference_type pattern_length = end2 - begin2;
// Pattern too short.
if(pattern_length <= 0)
return end1;
// Last point to start search.
difference_type input_length = (end1 - begin1) - pattern_length;
// Where is first occurrence of pattern? defaults to end.
difference_type result = (end1 - begin1);
difference_type *splitters;
// Pattern too long.
if (input_length < 0)
return end1;
omp_lock_t result_lock;
omp_init_lock(&result_lock);
thread_index_t num_threads =
std::max<difference_type>(1,
std::min<difference_type>(input_length, get_max_threads()));
difference_type advances[pattern_length];
calc_borders(begin2, pattern_length, advances);
# pragma omp parallel num_threads(num_threads)
{
# pragma omp single
{
num_threads = omp_get_num_threads();
splitters = new difference_type[num_threads + 1];
equally_split(input_length, num_threads, splitters);
}
thread_index_t iam = omp_get_thread_num();
difference_type start = splitters[iam], stop = splitters[iam + 1];
difference_type pos_in_pattern = 0;
bool found_pattern = false;
while (start <= stop && !found_pattern)
{
// Get new value of result.
#pragma omp flush(result)
// No chance for this thread to find first occurrence.
if (result < start)
break;
while (pred(begin1[start + pos_in_pattern],
begin2[pos_in_pattern]))
{
++pos_in_pattern;
if (pos_in_pattern == pattern_length)
{
// Found new candidate for result.
omp_set_lock(&result_lock);
result = std::min(result, start);
omp_unset_lock(&result_lock);
found_pattern = true;
break;
}
}
// Make safe jump.
start += (pos_in_pattern - advances[pos_in_pattern]);
pos_in_pattern =
(advances[pos_in_pattern] < 0) ? 0 : advances[pos_in_pattern];
}
} //parallel
omp_destroy_lock(&result_lock);
delete[] splitters;
// Return iterator on found element.
return (begin1 + result);
}
} // end namespace
#endif /* _GLIBCXX_PARALLEL_SEARCH_H */
|
resize.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% RRRR EEEEE SSSSS IIIII ZZZZZ EEEEE %
% R R E SS I ZZ E %
% RRRR EEE SSS I ZZZ EEE %
% R R E SS I ZZ E %
% R R EEEEE SSSSS IIIII ZZZZZ EEEEE %
% %
% %
% MagickCore Image Resize Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% 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/accelerate-private.h"
#include "MagickCore/artifact.h"
#include "MagickCore/blob.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/draw.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/gem.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/magick.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/property.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/nt-base-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/resample.h"
#include "MagickCore/resample-private.h"
#include "MagickCore/resize.h"
#include "MagickCore/resize-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/token.h"
#include "MagickCore/utility.h"
#include "MagickCore/utility-private.h"
#include "MagickCore/version.h"
#if defined(MAGICKCORE_LQR_DELEGATE)
#include <lqr.h>
#endif
/*
Typedef declarations.
*/
struct _ResizeFilter
{
double
(*filter)(const double,const ResizeFilter *),
(*window)(const double,const ResizeFilter *),
support, /* filter region of support - the filter support limit */
window_support, /* window support, usally equal to support (expert only) */
scale, /* dimension scaling to fit window support (usally 1.0) */
blur, /* x-scale (blur-sharpen) */
coefficient[7]; /* cubic coefficents for BC-cubic filters */
ResizeWeightingFunctionType
filterWeightingType,
windowWeightingType;
size_t
signature;
};
/*
Forward declaractions.
*/
static double
I0(double x),
BesselOrderOne(double),
Sinc(const double, const ResizeFilter *),
SincFast(const double, const ResizeFilter *);
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ F i l t e r F u n c t i o n s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% These are the various filter and windowing functions that are provided.
%
% They are internal to this module only. See AcquireResizeFilterInfo() for
% details of the access to these functions, via the GetResizeFilterSupport()
% and GetResizeFilterWeight() API interface.
%
% The individual filter functions have this format...
%
% static MagickRealtype *FilterName(const double x,const double support)
%
% A description of each parameter follows:
%
% o x: the distance from the sampling point generally in the range of 0 to
% support. The GetResizeFilterWeight() ensures this a positive value.
%
% o resize_filter: current filter information. This allows function to
% access support, and possibly other pre-calculated information defining
% the functions.
%
*/
static double Blackman(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
/*
Blackman: 2nd order cosine windowing function:
0.42 + 0.5 cos(pi x) + 0.08 cos(2pi x)
Refactored by Chantal Racette and Nicolas Robidoux to one trig call and
five flops.
*/
const double cosine = cos((double) (MagickPI*x));
magick_unreferenced(resize_filter);
return(0.34+cosine*(0.5+cosine*0.16));
}
static double Bohman(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
/*
Bohman: 2rd Order cosine windowing function:
(1-x) cos(pi x) + sin(pi x) / pi.
Refactored by Nicolas Robidoux to one trig call, one sqrt call, and 7 flops,
taking advantage of the fact that the support of Bohman is 1.0 (so that we
know that sin(pi x) >= 0).
*/
const double cosine = cos((double) (MagickPI*x));
const double sine=sqrt(1.0-cosine*cosine);
magick_unreferenced(resize_filter);
return((1.0-x)*cosine+(1.0/MagickPI)*sine);
}
static double Box(const double magick_unused(x),
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(x);
magick_unreferenced(resize_filter);
/*
A Box filter is a equal weighting function (all weights equal).
DO NOT LIMIT results by support or resize point sampling will work
as it requests points beyond its normal 0.0 support size.
*/
return(1.0);
}
static double Cosine(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
Cosine window function:
cos((pi/2)*x).
*/
return(cos((double) (MagickPI2*x)));
}
static double CubicBC(const double x,const ResizeFilter *resize_filter)
{
/*
Cubic Filters using B,C determined values:
Mitchell-Netravali B = 1/3 C = 1/3 "Balanced" cubic spline filter
Catmull-Rom B = 0 C = 1/2 Interpolatory and exact on linears
Spline B = 1 C = 0 B-Spline Gaussian approximation
Hermite B = 0 C = 0 B-Spline interpolator
See paper by Mitchell and Netravali, Reconstruction Filters in Computer
Graphics Computer Graphics, Volume 22, Number 4, August 1988
http://www.cs.utexas.edu/users/fussell/courses/cs384g/lectures/mitchell/
Mitchell.pdf.
Coefficents are determined from B,C values:
P0 = ( 6 - 2*B )/6 = coeff[0]
P1 = 0
P2 = (-18 +12*B + 6*C )/6 = coeff[1]
P3 = ( 12 - 9*B - 6*C )/6 = coeff[2]
Q0 = ( 8*B +24*C )/6 = coeff[3]
Q1 = ( -12*B -48*C )/6 = coeff[4]
Q2 = ( 6*B +30*C )/6 = coeff[5]
Q3 = ( - 1*B - 6*C )/6 = coeff[6]
which are used to define the filter:
P0 + P1*x + P2*x^2 + P3*x^3 0 <= x < 1
Q0 + Q1*x + Q2*x^2 + Q3*x^3 1 <= x < 2
which ensures function is continuous in value and derivative (slope).
*/
if (x < 1.0)
return(resize_filter->coefficient[0]+x*(x*
(resize_filter->coefficient[1]+x*resize_filter->coefficient[2])));
if (x < 2.0)
return(resize_filter->coefficient[3]+x*(resize_filter->coefficient[4]+x*
(resize_filter->coefficient[5]+x*resize_filter->coefficient[6])));
return(0.0);
}
static double CubicSpline(const double x,const ResizeFilter *resize_filter)
{
if (resize_filter->support <= 2.0)
{
/*
2-lobe Spline filter.
*/
if (x < 1.0)
return(((x-9.0/5.0)*x-1.0/5.0)*x+1.0);
if (x < 2.0)
return(((-1.0/3.0*(x-1.0)+4.0/5.0)*(x-1.0)-7.0/15.0)*(x-1.0));
return(0.0);
}
if (resize_filter->support <= 3.0)
{
/*
3-lobe Spline filter.
*/
if (x < 1.0)
return(((13.0/11.0*x-453.0/209.0)*x-3.0/209.0)*x+1.0);
if (x < 2.0)
return(((-6.0/11.0*(x-1.0)+270.0/209.0)*(x-1.0)-156.0/209.0)*(x-1.0));
if (x < 3.0)
return(((1.0/11.0*(x-2.0)-45.0/209.0)*(x-2.0)+26.0/209.0)*(x-2.0));
return(0.0);
}
/*
4-lobe Spline filter.
*/
if (x < 1.0)
return(((49.0/41.0*x-6387.0/2911.0)*x-3.0/2911.0)*x+1.0);
if (x < 2.0)
return(((-24.0/41.0*(x-1.0)+4032.0/2911.0)*(x-1.0)-2328.0/2911.0)*(x-1.0));
if (x < 3.0)
return(((6.0/41.0*(x-2.0)-1008.0/2911.0)*(x-2.0)+582.0/2911.0)*(x-2.0));
if (x < 4.0)
return(((-1.0/41.0*(x-3.0)+168.0/2911.0)*(x-3.0)-97.0/2911.0)*(x-3.0));
return(0.0);
}
static double Gaussian(const double x,const ResizeFilter *resize_filter)
{
/*
Gaussian with a sigma = 1/2 (or as user specified)
Gaussian Formula (1D) ...
exp( -(x^2)/((2.0*sigma^2) ) / (sqrt(2*PI)*sigma^2))
Gaussian Formula (2D) ...
exp( -(x^2+y^2)/(2.0*sigma^2) ) / (PI*sigma^2) )
or for radius
exp( -(r^2)/(2.0*sigma^2) ) / (PI*sigma^2) )
Note that it is only a change from 1-d to radial form is in the
normalization multiplier which is not needed or used when Gaussian is used
as a filter.
The constants are pre-calculated...
coeff[0]=sigma;
coeff[1]=1.0/(2.0*sigma^2);
coeff[2]=1.0/(sqrt(2*PI)*sigma^2);
exp( -coeff[1]*(x^2)) ) * coeff[2];
However the multiplier coeff[1] is need, the others are informative only.
This separates the gaussian 'sigma' value from the 'blur/support'
settings allowing for its use in special 'small sigma' gaussians,
without the filter 'missing' pixels because the support becomes too
small.
*/
return(exp((double)(-resize_filter->coefficient[1]*x*x)));
}
static double Hann(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
/*
Cosine window function:
0.5+0.5*cos(pi*x).
*/
const double cosine = cos((double) (MagickPI*x));
magick_unreferenced(resize_filter);
return(0.5+0.5*cosine);
}
static double Hamming(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
/*
Offset cosine window function:
.54 + .46 cos(pi x).
*/
const double cosine = cos((double) (MagickPI*x));
magick_unreferenced(resize_filter);
return(0.54+0.46*cosine);
}
static double Jinc(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
See Pratt "Digital Image Processing" p.97 for Jinc/Bessel functions.
http://mathworld.wolfram.com/JincFunction.html and page 11 of
http://www.ph.ed.ac.uk/%7ewjh/teaching/mo/slides/lens/lens.pdf
The original "zoom" program by Paul Heckbert called this "Bessel". But
really it is more accurately named "Jinc".
*/
if (x == 0.0)
return(0.5*MagickPI);
return(BesselOrderOne(MagickPI*x)/x);
}
static double Kaiser(const double x,const ResizeFilter *resize_filter)
{
/*
Kaiser Windowing Function (bessel windowing)
I0( beta * sqrt( 1-x^2) ) / IO(0)
Beta (coeff[0]) is a free value from 5 to 8 (defaults to 6.5).
However it is typically defined in terms of Alpha*PI
The normalization factor (coeff[1]) is not actually needed,
but without it the filters has a large value at x=0 making it
difficult to compare the function with other windowing functions.
*/
return(resize_filter->coefficient[1]*I0(resize_filter->coefficient[0]*
sqrt((double) (1.0-x*x))));
}
static double Lagrange(const double x,const ResizeFilter *resize_filter)
{
double
value;
ssize_t
i;
ssize_t
n,
order;
/*
Lagrange piecewise polynomial fit of sinc: N is the 'order' of the lagrange
function and depends on the overall support window size of the filter. That
is: for a support of 2, it gives a lagrange-4 (piecewise cubic function).
"n" identifies the piece of the piecewise polynomial.
See Survey: Interpolation Methods, IEEE Transactions on Medical Imaging,
Vol 18, No 11, November 1999, p1049-1075, -- Equation 27 on p1064.
*/
if (x > resize_filter->support)
return(0.0);
order=(ssize_t) (2.0*resize_filter->window_support); /* number of pieces */
n=(ssize_t) (resize_filter->window_support+x);
value=1.0f;
for (i=0; i < order; i++)
if (i != n)
value*=(n-i-x)/(n-i);
return(value);
}
static double Quadratic(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
2rd order (quadratic) B-Spline approximation of Gaussian.
*/
if (x < 0.5)
return(0.75-x*x);
if (x < 1.5)
return(0.5*(x-1.5)*(x-1.5));
return(0.0);
}
static double Sinc(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
Scaled sinc(x) function using a trig call:
sinc(x) == sin(pi x)/(pi x).
*/
if (x != 0.0)
{
const double alpha=(double) (MagickPI*x);
return(sin((double) alpha)/alpha);
}
return((double) 1.0);
}
static double SincFast(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
Approximations of the sinc function sin(pi x)/(pi x) over the interval
[-4,4] constructed by Nicolas Robidoux and Chantal Racette with funding
from the Natural Sciences and Engineering Research Council of Canada.
Although the approximations are polynomials (for low order of
approximation) and quotients of polynomials (for higher order of
approximation) and consequently are similar in form to Taylor polynomials /
Pade approximants, the approximations are computed with a completely
different technique.
Summary: These approximations are "the best" in terms of bang (accuracy)
for the buck (flops). More specifically: Among the polynomial quotients
that can be computed using a fixed number of flops (with a given "+ - * /
budget"), the chosen polynomial quotient is the one closest to the
approximated function with respect to maximum absolute relative error over
the given interval.
The Remez algorithm, as implemented in the boost library's minimax package,
is the key to the construction: http://www.boost.org/doc/libs/1_36_0/libs/
math/doc/sf_and_dist/html/math_toolkit/backgrounders/remez.html
If outside of the interval of approximation, use the standard trig formula.
*/
if (x > 4.0)
{
const double alpha=(double) (MagickPI*x);
return(sin((double) alpha)/alpha);
}
{
/*
The approximations only depend on x^2 (sinc is an even function).
*/
const double xx = x*x;
#if MAGICKCORE_QUANTUM_DEPTH <= 8
/*
Maximum absolute relative error 6.3e-6 < 1/2^17.
*/
const double c0 = 0.173610016489197553621906385078711564924e-2L;
const double c1 = -0.384186115075660162081071290162149315834e-3L;
const double c2 = 0.393684603287860108352720146121813443561e-4L;
const double c3 = -0.248947210682259168029030370205389323899e-5L;
const double c4 = 0.107791837839662283066379987646635416692e-6L;
const double c5 = -0.324874073895735800961260474028013982211e-8L;
const double c6 = 0.628155216606695311524920882748052490116e-10L;
const double c7 = -0.586110644039348333520104379959307242711e-12L;
const double p =
c0+xx*(c1+xx*(c2+xx*(c3+xx*(c4+xx*(c5+xx*(c6+xx*c7))))));
return((xx-1.0)*(xx-4.0)*(xx-9.0)*(xx-16.0)*p);
#elif MAGICKCORE_QUANTUM_DEPTH <= 16
/*
Max. abs. rel. error 2.2e-8 < 1/2^25.
*/
const double c0 = 0.173611107357320220183368594093166520811e-2L;
const double c1 = -0.384240921114946632192116762889211361285e-3L;
const double c2 = 0.394201182359318128221229891724947048771e-4L;
const double c3 = -0.250963301609117217660068889165550534856e-5L;
const double c4 = 0.111902032818095784414237782071368805120e-6L;
const double c5 = -0.372895101408779549368465614321137048875e-8L;
const double c6 = 0.957694196677572570319816780188718518330e-10L;
const double c7 = -0.187208577776590710853865174371617338991e-11L;
const double c8 = 0.253524321426864752676094495396308636823e-13L;
const double c9 = -0.177084805010701112639035485248501049364e-15L;
const double p =
c0+xx*(c1+xx*(c2+xx*(c3+xx*(c4+xx*(c5+xx*(c6+xx*(c7+xx*(c8+xx*c9))))))));
return((xx-1.0)*(xx-4.0)*(xx-9.0)*(xx-16.0)*p);
#else
/*
Max. abs. rel. error 1.2e-12 < 1/2^39.
*/
const double c0 = 0.173611111110910715186413700076827593074e-2L;
const double c1 = -0.289105544717893415815859968653611245425e-3L;
const double c2 = 0.206952161241815727624413291940849294025e-4L;
const double c3 = -0.834446180169727178193268528095341741698e-6L;
const double c4 = 0.207010104171026718629622453275917944941e-7L;
const double c5 = -0.319724784938507108101517564300855542655e-9L;
const double c6 = 0.288101675249103266147006509214934493930e-11L;
const double c7 = -0.118218971804934245819960233886876537953e-13L;
const double p =
c0+xx*(c1+xx*(c2+xx*(c3+xx*(c4+xx*(c5+xx*(c6+xx*c7))))));
const double d0 = 1.0L;
const double d1 = 0.547981619622284827495856984100563583948e-1L;
const double d2 = 0.134226268835357312626304688047086921806e-2L;
const double d3 = 0.178994697503371051002463656833597608689e-4L;
const double d4 = 0.114633394140438168641246022557689759090e-6L;
const double q = d0+xx*(d1+xx*(d2+xx*(d3+xx*d4)));
return((xx-1.0)*(xx-4.0)*(xx-9.0)*(xx-16.0)/q*p);
#endif
}
}
static double Triangle(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
1st order (linear) B-Spline, bilinear interpolation, Tent 1D filter, or
a Bartlett 2D Cone filter. Also used as a Bartlett Windowing function
for Sinc().
*/
if (x < 1.0)
return(1.0-x);
return(0.0);
}
static double Welch(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
Welch parabolic windowing filter.
*/
if (x < 1.0)
return(1.0-x*x);
return(0.0);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ A c q u i r e R e s i z e F i l t e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireResizeFilter() allocates the ResizeFilter structure. Choose from
% these filters:
%
% FIR (Finite impulse Response) Filters
% Box Triangle Quadratic
% Spline Hermite Catrom
% Mitchell
%
% IIR (Infinite impulse Response) Filters
% Gaussian Sinc Jinc (Bessel)
%
% Windowed Sinc/Jinc Filters
% Blackman Bohman Lanczos
% Hann Hamming Cosine
% Kaiser Welch Parzen
% Bartlett
%
% Special Purpose Filters
% Cubic SincFast LanczosSharp Lanczos2 Lanczos2Sharp
% Robidoux RobidouxSharp
%
% The users "-filter" selection is used to lookup the default 'expert'
% settings for that filter from a internal table. However any provided
% 'expert' settings (see below) may override this selection.
%
% FIR filters are used as is, and are limited to that filters support window
% (unless over-ridden). 'Gaussian' while classed as an IIR filter, is also
% simply clipped by its support size (currently 1.5 or approximately 3*sigma
% as recommended by many references)
%
% The special a 'cylindrical' filter flag will promote the default 4-lobed
% Windowed Sinc filter to a 3-lobed Windowed Jinc equivalent, which is better
% suited to this style of image resampling. This typically happens when using
% such a filter for images distortions.
%
% SPECIFIC FILTERS:
%
% Directly requesting 'Sinc', 'Jinc' function as a filter will force the use
% of function without any windowing, or promotion for cylindrical usage. This
% is not recommended, except by image processing experts, especially as part
% of expert option filter function selection.
%
% Two forms of the 'Sinc' function are available: Sinc and SincFast. Sinc is
% computed using the traditional sin(pi*x)/(pi*x); it is selected if the user
% specifically specifies the use of a Sinc filter. SincFast uses highly
% accurate (and fast) polynomial (low Q) and rational (high Q) approximations,
% and will be used by default in most cases.
%
% The Lanczos filter is a special 3-lobed Sinc-windowed Sinc filter (promoted
% to Jinc-windowed Jinc for cylindrical (Elliptical Weighted Average) use).
% The Sinc version is the most popular windowed filter.
%
% LanczosSharp is a slightly sharpened (blur=0.9812505644269356 < 1) form of
% the Lanczos filter, specifically designed for EWA distortion (as a
% Jinc-Jinc); it can also be used as a slightly sharper orthogonal Lanczos
% (Sinc-Sinc) filter. The chosen blur value comes as close as possible to
% satisfying the following condition without changing the character of the
% corresponding EWA filter:
%
% 'No-Op' Vertical and Horizontal Line Preservation Condition: Images with
% only vertical or horizontal features are preserved when performing 'no-op"
% with EWA distortion.
%
% The Lanczos2 and Lanczos2Sharp filters are 2-lobe versions of the Lanczos
% filters. The 'sharp' version uses a blur factor of 0.9549963639785485,
% again chosen because the resulting EWA filter comes as close as possible to
% satisfying the above condition.
%
% Robidoux is another filter tuned for EWA. It is the Keys cubic filter
% defined by B=(228 - 108 sqrt(2))/199. Robidoux satisfies the "'No-Op'
% Vertical and Horizontal Line Preservation Condition" exactly, and it
% moderately blurs high frequency 'pixel-hash' patterns under no-op. It turns
% out to be close to both Mitchell and Lanczos2Sharp. For example, its first
% crossing is at (36 sqrt(2) + 123)/(72 sqrt(2) + 47), almost the same as the
% first crossing of Mitchell and Lanczos2Sharp.
%
% RobidouxSharp is a slightly sharper version of Robidoux, some believe it
% is too sharp. It is designed to minimize the maximum possible change in
% a pixel value which is at one of the extremes (e.g., 0 or 255) under no-op
% conditions. Amazingly Mitchell falls roughly between Robidoux and
% RobidouxSharp, though this seems to have been pure coincidence.
%
% 'EXPERT' OPTIONS:
%
% These artifact "defines" are not recommended for production use without
% expert knowledge of resampling, filtering, and the effects they have on the
% resulting resampled (resized or distorted) image.
%
% They can be used to override any and all filter default, and it is
% recommended you make good use of "filter:verbose" to make sure that the
% overall effect of your selection (before and after) is as expected.
%
% "filter:verbose" controls whether to output the exact results of the
% filter selections made, as well as plotting data for graphing the
% resulting filter over the filters support range.
%
% "filter:filter" select the main function associated with this filter
% name, as the weighting function of the filter. This can be used to
% set a windowing function as a weighting function, for special
% purposes, such as graphing.
%
% If a "filter:window" operation has not been provided, a 'Box'
% windowing function will be set to denote that no windowing function is
% being used.
%
% "filter:window" Select this windowing function for the filter. While any
% filter could be used as a windowing function, using the 'first lobe' of
% that filter over the whole support window, using a non-windowing
% function is not advisible. If no weighting filter function is specified
% a 'SincFast' filter is used.
%
% "filter:lobes" Number of lobes to use for the Sinc/Jinc filter. This a
% simpler method of setting filter support size that will correctly
% handle the Sinc/Jinc switch for an operators filtering requirements.
% Only integers should be given.
%
% "filter:support" Set the support size for filtering to the size given.
% This not recommended for Sinc/Jinc windowed filters (lobes should be
% used instead). This will override any 'filter:lobes' option.
%
% "filter:win-support" Scale windowing function to this size instead. This
% causes the windowing (or self-windowing Lagrange filter) to act is if
% the support window it much much larger than what is actually supplied
% to the calling operator. The filter however is still clipped to the
% real support size given, by the support range supplied to the caller.
% If unset this will equal the normal filter support size.
%
% "filter:blur" Scale the filter and support window by this amount. A value
% of > 1 will generally result in a more blurred image with more ringing
% effects, while a value <1 will sharpen the resulting image with more
% aliasing effects.
%
% "filter:sigma" The sigma value to use for the Gaussian filter only.
% Defaults to '1/2'. Using a different sigma effectively provides a
% method of using the filter as a 'blur' convolution. Particularly when
% using it for Distort.
%
% "filter:b"
% "filter:c" Override the preset B,C values for a Cubic filter.
% If only one of these are given it is assumes to be a 'Keys' type of
% filter such that B+2C=1, where Keys 'alpha' value = C.
%
% Examples:
%
% Set a true un-windowed Sinc filter with 10 lobes (very slow):
% -define filter:filter=Sinc
% -define filter:lobes=8
%
% Set an 8 lobe Lanczos (Sinc or Jinc) filter:
% -filter Lanczos
% -define filter:lobes=8
%
% The format of the AcquireResizeFilter method is:
%
% ResizeFilter *AcquireResizeFilter(const Image *image,
% const FilterType filter_type,const MagickBooleanType cylindrical,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o filter: the filter type, defining a preset filter, window and support.
% The artifact settings listed above will override those selections.
%
% o blur: blur the filter by this amount, use 1.0 if unknown. Image
% artifact "filter:blur" will override this API call usage, including any
% internal change (such as for cylindrical usage).
%
% o radial: use a 1D orthogonal filter (Sinc) or 2D cylindrical (radial)
% filter (Jinc).
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate ResizeFilter *AcquireResizeFilter(const Image *image,
const FilterType filter,const MagickBooleanType cylindrical,
ExceptionInfo *exception)
{
const char
*artifact;
FilterType
filter_type,
window_type;
double
B,
C,
value;
ResizeFilter
*resize_filter;
/*
Table Mapping given Filter, into Weighting and Windowing functions.
A 'Box' windowing function means its a simble non-windowed filter.
An 'SincFast' filter function could be upgraded to a 'Jinc' filter if a
"cylindrical" is requested, unless a 'Sinc' or 'SincFast' filter was
specifically requested by the user.
WARNING: The order of this table must match the order of the FilterType
enumeration specified in "resample.h", or the filter names will not match
the filter being setup.
You can check filter setups with the "filter:verbose" expert setting.
*/
static struct
{
FilterType
filter,
window;
} const mapping[SentinelFilter] =
{
{ UndefinedFilter, BoxFilter }, /* Undefined (default to Box) */
{ PointFilter, BoxFilter }, /* SPECIAL: Nearest neighbour */
{ BoxFilter, BoxFilter }, /* Box averaging filter */
{ TriangleFilter, BoxFilter }, /* Linear interpolation filter */
{ HermiteFilter, BoxFilter }, /* Hermite interpolation filter */
{ SincFastFilter, HannFilter }, /* Hann -- cosine-sinc */
{ SincFastFilter, HammingFilter }, /* Hamming -- '' variation */
{ SincFastFilter, BlackmanFilter }, /* Blackman -- 2*cosine-sinc */
{ GaussianFilter, BoxFilter }, /* Gaussian blur filter */
{ QuadraticFilter, BoxFilter }, /* Quadratic Gaussian approx */
{ CubicFilter, BoxFilter }, /* General Cubic Filter, Spline */
{ CatromFilter, BoxFilter }, /* Cubic-Keys interpolator */
{ MitchellFilter, BoxFilter }, /* 'Ideal' Cubic-Keys filter */
{ JincFilter, BoxFilter }, /* Raw 3-lobed Jinc function */
{ SincFilter, BoxFilter }, /* Raw 4-lobed Sinc function */
{ SincFastFilter, BoxFilter }, /* Raw fast sinc ("Pade"-type) */
{ SincFastFilter, KaiserFilter }, /* Kaiser -- square root-sinc */
{ LanczosFilter, WelchFilter }, /* Welch -- parabolic (3 lobe) */
{ SincFastFilter, CubicFilter }, /* Parzen -- cubic-sinc */
{ SincFastFilter, BohmanFilter }, /* Bohman -- 2*cosine-sinc */
{ SincFastFilter, TriangleFilter }, /* Bartlett -- triangle-sinc */
{ LagrangeFilter, BoxFilter }, /* Lagrange self-windowing */
{ LanczosFilter, LanczosFilter }, /* Lanczos Sinc-Sinc filters */
{ LanczosSharpFilter, LanczosSharpFilter }, /* | these require */
{ Lanczos2Filter, Lanczos2Filter }, /* | special handling */
{ Lanczos2SharpFilter, Lanczos2SharpFilter },
{ RobidouxFilter, BoxFilter }, /* Cubic Keys tuned for EWA */
{ RobidouxSharpFilter, BoxFilter }, /* Sharper Cubic Keys for EWA */
{ LanczosFilter, CosineFilter }, /* Cosine window (3 lobes) */
{ SplineFilter, BoxFilter }, /* Spline Cubic Filter */
{ LanczosRadiusFilter, LanczosFilter }, /* Lanczos with integer radius */
{ CubicSplineFilter, BoxFilter }, /* CubicSpline (2/3/4 lobes) */
};
/*
Table mapping the filter/window from the above table to an actual function.
The default support size for that filter as a weighting function, the range
to scale with to use that function as a sinc windowing function, (typ 1.0).
Note that the filter_type -> function is 1 to 1 except for Sinc(),
SincFast(), and CubicBC() functions, which may have multiple filter to
function associations.
See "filter:verbose" handling below for the function -> filter mapping.
*/
static struct
{
double
(*function)(const double,const ResizeFilter*),
support, /* Default lobes/support size of the weighting filter. */
scale, /* Support when function used as a windowing function
Typically equal to the location of the first zero crossing. */
B,C; /* BC-spline coefficients, ignored if not a CubicBC filter. */
ResizeWeightingFunctionType weightingFunctionType;
} const filters[SentinelFilter] =
{
/* .--- support window (if used as a Weighting Function)
| .--- first crossing (if used as a Windowing Function)
| | .--- B value for Cubic Function
| | | .---- C value for Cubic Function
| | | | */
{ Box, 0.5, 0.5, 0.0, 0.0, BoxWeightingFunction }, /* Undefined (default to Box) */
{ Box, 0.0, 0.5, 0.0, 0.0, BoxWeightingFunction }, /* Point (special handling) */
{ Box, 0.5, 0.5, 0.0, 0.0, BoxWeightingFunction }, /* Box */
{ Triangle, 1.0, 1.0, 0.0, 0.0, TriangleWeightingFunction }, /* Triangle */
{ CubicBC, 1.0, 1.0, 0.0, 0.0, CubicBCWeightingFunction }, /* Hermite (cubic B=C=0) */
{ Hann, 1.0, 1.0, 0.0, 0.0, HannWeightingFunction }, /* Hann, cosine window */
{ Hamming, 1.0, 1.0, 0.0, 0.0, HammingWeightingFunction }, /* Hamming, '' variation */
{ Blackman, 1.0, 1.0, 0.0, 0.0, BlackmanWeightingFunction }, /* Blackman, 2*cosine window */
{ Gaussian, 2.0, 1.5, 0.0, 0.0, GaussianWeightingFunction }, /* Gaussian */
{ Quadratic, 1.5, 1.5, 0.0, 0.0, QuadraticWeightingFunction },/* Quadratic gaussian */
{ CubicBC, 2.0, 2.0, 1.0, 0.0, CubicBCWeightingFunction }, /* General Cubic Filter */
{ CubicBC, 2.0, 1.0, 0.0, 0.5, CubicBCWeightingFunction }, /* Catmull-Rom (B=0,C=1/2) */
{ CubicBC, 2.0, 8.0/7.0, 1./3., 1./3., CubicBCWeightingFunction }, /* Mitchell (B=C=1/3) */
{ Jinc, 3.0, 1.2196698912665045, 0.0, 0.0, JincWeightingFunction }, /* Raw 3-lobed Jinc */
{ Sinc, 4.0, 1.0, 0.0, 0.0, SincWeightingFunction }, /* Raw 4-lobed Sinc */
{ SincFast, 4.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Raw fast sinc ("Pade"-type) */
{ Kaiser, 1.0, 1.0, 0.0, 0.0, KaiserWeightingFunction }, /* Kaiser (square root window) */
{ Welch, 1.0, 1.0, 0.0, 0.0, WelchWeightingFunction }, /* Welch (parabolic window) */
{ CubicBC, 2.0, 2.0, 1.0, 0.0, CubicBCWeightingFunction }, /* Parzen (B-Spline window) */
{ Bohman, 1.0, 1.0, 0.0, 0.0, BohmanWeightingFunction }, /* Bohman, 2*Cosine window */
{ Triangle, 1.0, 1.0, 0.0, 0.0, TriangleWeightingFunction }, /* Bartlett (triangle window) */
{ Lagrange, 2.0, 1.0, 0.0, 0.0, LagrangeWeightingFunction }, /* Lagrange sinc approximation */
{ SincFast, 3.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos, 3-lobed Sinc-Sinc */
{ SincFast, 3.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos, Sharpened */
{ SincFast, 2.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos, 2-lobed */
{ SincFast, 2.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos2, sharpened */
/* Robidoux: Keys cubic close to Lanczos2D sharpened */
{ CubicBC, 2.0, 1.1685777620836932,
0.37821575509399867, 0.31089212245300067, CubicBCWeightingFunction },
/* RobidouxSharp: Sharper version of Robidoux */
{ CubicBC, 2.0, 1.105822933719019,
0.2620145123990142, 0.3689927438004929, CubicBCWeightingFunction },
{ Cosine, 1.0, 1.0, 0.0, 0.0, CosineWeightingFunction }, /* Low level cosine window */
{ CubicBC, 2.0, 2.0, 1.0, 0.0, CubicBCWeightingFunction }, /* Cubic B-Spline (B=1,C=0) */
{ SincFast, 3.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos, Interger Radius */
{ CubicSpline,2.0, 0.5, 0.0, 0.0, BoxWeightingFunction }, /* Spline Lobes 2-lobed */
};
/*
The known zero crossings of the Jinc() or more accurately the Jinc(x*PI)
function being used as a filter. It is used by the "filter:lobes" expert
setting and for 'lobes' for Jinc functions in the previous table. This way
users do not have to deal with the highly irrational lobe sizes of the Jinc
filter.
Values taken from
http://cose.math.bas.bg/webMathematica/webComputing/BesselZeros.jsp
using Jv-function with v=1, then dividing by PI.
*/
static double
jinc_zeros[16] =
{
1.2196698912665045,
2.2331305943815286,
3.2383154841662362,
4.2410628637960699,
5.2427643768701817,
6.2439216898644877,
7.2447598687199570,
8.2453949139520427,
9.2458926849494673,
10.246293348754916,
11.246622794877883,
12.246898461138105,
13.247132522181061,
14.247333735806849,
15.247508563037300,
16.247661874700962
};
/*
Allocate resize filter.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(UndefinedFilter < filter && filter < SentinelFilter);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
(void) exception;
resize_filter=(ResizeFilter *) AcquireCriticalMemory(sizeof(*resize_filter));
(void) memset(resize_filter,0,sizeof(*resize_filter));
/*
Defaults for the requested filter.
*/
filter_type=mapping[filter].filter;
window_type=mapping[filter].window;
resize_filter->blur=1.0;
/* Promote 1D Windowed Sinc Filters to a 2D Windowed Jinc filters */
if ((cylindrical != MagickFalse) && (filter_type == SincFastFilter) &&
(filter != SincFastFilter))
filter_type=JincFilter; /* 1D Windowed Sinc => 2D Windowed Jinc filters */
/* Expert filter setting override */
artifact=GetImageArtifact(image,"filter:filter");
if (IsStringTrue(artifact) != MagickFalse)
{
ssize_t
option;
option=ParseCommandOption(MagickFilterOptions,MagickFalse,artifact);
if ((UndefinedFilter < option) && (option < SentinelFilter))
{ /* Raw filter request - no window function. */
filter_type=(FilterType) option;
window_type=BoxFilter;
}
/* Filter override with a specific window function. */
artifact=GetImageArtifact(image,"filter:window");
if (artifact != (const char *) NULL)
{
option=ParseCommandOption(MagickFilterOptions,MagickFalse,artifact);
if ((UndefinedFilter < option) && (option < SentinelFilter))
window_type=(FilterType) option;
}
}
else
{
/* Window specified, but no filter function? Assume Sinc/Jinc. */
artifact=GetImageArtifact(image,"filter:window");
if (artifact != (const char *) NULL)
{
ssize_t
option;
option=ParseCommandOption(MagickFilterOptions,MagickFalse,artifact);
if ((UndefinedFilter < option) && (option < SentinelFilter))
{
filter_type= cylindrical != MagickFalse ? JincFilter
: SincFastFilter;
window_type=(FilterType) option;
}
}
}
/* Assign the real functions to use for the filters selected. */
resize_filter->filter=filters[filter_type].function;
resize_filter->support=filters[filter_type].support;
resize_filter->filterWeightingType=filters[filter_type].weightingFunctionType;
resize_filter->window=filters[window_type].function;
resize_filter->windowWeightingType=filters[window_type].weightingFunctionType;
resize_filter->scale=filters[window_type].scale;
resize_filter->signature=MagickCoreSignature;
/* Filter Modifications for orthogonal/cylindrical usage */
if (cylindrical != MagickFalse)
switch (filter_type)
{
case BoxFilter:
/* Support for Cylindrical Box should be sqrt(2)/2 */
resize_filter->support=(double) MagickSQ1_2;
break;
case LanczosFilter:
case LanczosSharpFilter:
case Lanczos2Filter:
case Lanczos2SharpFilter:
case LanczosRadiusFilter:
resize_filter->filter=filters[JincFilter].function;
resize_filter->window=filters[JincFilter].function;
resize_filter->scale=filters[JincFilter].scale;
/* number of lobes (support window size) remain unchanged */
break;
default:
break;
}
/* Global Sharpening (regardless of orthoginal/cylindrical) */
switch (filter_type)
{
case LanczosSharpFilter:
resize_filter->blur *= 0.9812505644269356;
break;
case Lanczos2SharpFilter:
resize_filter->blur *= 0.9549963639785485;
break;
/* case LanczosRadius: blur adjust is done after lobes */
default:
break;
}
/*
Expert Option Modifications.
*/
/* User Gaussian Sigma Override - no support change */
if ((resize_filter->filter == Gaussian) ||
(resize_filter->window == Gaussian) ) {
value=0.5; /* guassian sigma default, half pixel */
artifact=GetImageArtifact(image,"filter:sigma");
if (artifact != (const char *) NULL)
value=StringToDouble(artifact,(char **) NULL);
/* Define coefficents for Gaussian */
resize_filter->coefficient[0]=value; /* note sigma too */
resize_filter->coefficient[1]=PerceptibleReciprocal(2.0*value*value); /* sigma scaling */
resize_filter->coefficient[2]=PerceptibleReciprocal(Magick2PI*value*value);
/* normalization - not actually needed or used! */
if ( value > 0.5 )
resize_filter->support *= 2*value; /* increase support linearly */
}
/* User Kaiser Alpha Override - no support change */
if ((resize_filter->filter == Kaiser) ||
(resize_filter->window == Kaiser) ) {
value=6.5; /* default beta value for Kaiser bessel windowing function */
artifact=GetImageArtifact(image,"filter:alpha"); /* FUTURE: depreciate */
if (artifact != (const char *) NULL)
value=StringToDouble(artifact,(char **) NULL);
artifact=GetImageArtifact(image,"filter:kaiser-beta");
if (artifact != (const char *) NULL)
value=StringToDouble(artifact,(char **) NULL);
artifact=GetImageArtifact(image,"filter:kaiser-alpha");
if (artifact != (const char *) NULL)
value=StringToDouble(artifact,(char **) NULL)*MagickPI;
/* Define coefficents for Kaiser Windowing Function */
resize_filter->coefficient[0]=value; /* alpha */
resize_filter->coefficient[1]=PerceptibleReciprocal(I0(value));
/* normalization */
}
/* Support Overrides */
artifact=GetImageArtifact(image,"filter:lobes");
if (artifact != (const char *) NULL)
{
ssize_t
lobes;
lobes=(ssize_t) StringToLong(artifact);
if (lobes < 1)
lobes=1;
resize_filter->support=(double) lobes;
}
if (resize_filter->filter == Jinc)
{
/*
Convert a Jinc function lobes value to a real support value.
*/
if (resize_filter->support > 16)
resize_filter->support=jinc_zeros[15]; /* largest entry in table */
else
resize_filter->support=jinc_zeros[((long) resize_filter->support)-1];
/*
Blur this filter so support is a integer value (lobes dependant).
*/
if (filter_type == LanczosRadiusFilter)
resize_filter->blur*=floor(resize_filter->support)/
resize_filter->support;
}
/*
Expert blur override.
*/
artifact=GetImageArtifact(image,"filter:blur");
if (artifact != (const char *) NULL)
resize_filter->blur*=StringToDouble(artifact,(char **) NULL);
if (resize_filter->blur < MagickEpsilon)
resize_filter->blur=(double) MagickEpsilon;
/*
Expert override of the support setting.
*/
artifact=GetImageArtifact(image,"filter:support");
if (artifact != (const char *) NULL)
resize_filter->support=fabs(StringToDouble(artifact,(char **) NULL));
/*
Scale windowing function separately to the support 'clipping' window
that calling operator is planning to actually use. (Expert override)
*/
resize_filter->window_support=resize_filter->support; /* default */
artifact=GetImageArtifact(image,"filter:win-support");
if (artifact != (const char *) NULL)
resize_filter->window_support=fabs(StringToDouble(artifact,(char **) NULL));
/*
Adjust window function scaling to match windowing support for weighting
function. This avoids a division on every filter call.
*/
resize_filter->scale*=PerceptibleReciprocal(resize_filter->window_support);
/*
Set Cubic Spline B,C values, calculate Cubic coefficients.
*/
B=0.0;
C=0.0;
if ((resize_filter->filter == CubicBC) ||
(resize_filter->window == CubicBC) )
{
B=filters[filter_type].B;
C=filters[filter_type].C;
if (filters[window_type].function == CubicBC)
{
B=filters[window_type].B;
C=filters[window_type].C;
}
artifact=GetImageArtifact(image,"filter:b");
if (artifact != (const char *) NULL)
{
B=StringToDouble(artifact,(char **) NULL);
C=(1.0-B)/2.0; /* Calculate C to get a Keys cubic filter. */
artifact=GetImageArtifact(image,"filter:c"); /* user C override */
if (artifact != (const char *) NULL)
C=StringToDouble(artifact,(char **) NULL);
}
else
{
artifact=GetImageArtifact(image,"filter:c");
if (artifact != (const char *) NULL)
{
C=StringToDouble(artifact,(char **) NULL);
B=1.0-2.0*C; /* Calculate B to get a Keys cubic filter. */
}
}
{
const double
twoB = B+B;
/*
Convert B,C values into Cubic Coefficents. See CubicBC().
*/
resize_filter->coefficient[0]=1.0-(1.0/3.0)*B;
resize_filter->coefficient[1]=-3.0+twoB+C;
resize_filter->coefficient[2]=2.0-1.5*B-C;
resize_filter->coefficient[3]=(4.0/3.0)*B+4.0*C;
resize_filter->coefficient[4]=-8.0*C-twoB;
resize_filter->coefficient[5]=B+5.0*C;
resize_filter->coefficient[6]=(-1.0/6.0)*B-C;
}
}
/*
Expert Option Request for verbose details of the resulting filter.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp master
{
#endif
if (IsStringTrue(GetImageArtifact(image,"filter:verbose")) != MagickFalse)
{
double
support,
x;
/*
Set the weighting function properly when the weighting function
may not exactly match the filter of the same name. EG: a Point
filter is really uses a Box weighting function with a different
support than is typically used.
*/
if (resize_filter->filter == Box) filter_type=BoxFilter;
if (resize_filter->filter == Sinc) filter_type=SincFilter;
if (resize_filter->filter == SincFast) filter_type=SincFastFilter;
if (resize_filter->filter == Jinc) filter_type=JincFilter;
if (resize_filter->filter == CubicBC) filter_type=CubicFilter;
if (resize_filter->window == Box) window_type=BoxFilter;
if (resize_filter->window == Sinc) window_type=SincFilter;
if (resize_filter->window == SincFast) window_type=SincFastFilter;
if (resize_filter->window == Jinc) window_type=JincFilter;
if (resize_filter->window == CubicBC) window_type=CubicFilter;
/*
Report Filter Details.
*/
support=GetResizeFilterSupport(resize_filter); /* practical_support */
(void) FormatLocaleFile(stdout,
"# Resampling Filter (for graphing)\n#\n");
(void) FormatLocaleFile(stdout,"# filter = %s\n",
CommandOptionToMnemonic(MagickFilterOptions,filter_type));
(void) FormatLocaleFile(stdout,"# window = %s\n",
CommandOptionToMnemonic(MagickFilterOptions,window_type));
(void) FormatLocaleFile(stdout,"# support = %.*g\n",
GetMagickPrecision(),(double) resize_filter->support);
(void) FormatLocaleFile(stdout,"# window-support = %.*g\n",
GetMagickPrecision(),(double) resize_filter->window_support);
(void) FormatLocaleFile(stdout,"# scale-blur = %.*g\n",
GetMagickPrecision(),(double) resize_filter->blur);
if ((filter_type == GaussianFilter) || (window_type == GaussianFilter))
(void) FormatLocaleFile(stdout,"# gaussian-sigma = %.*g\n",
GetMagickPrecision(),(double) resize_filter->coefficient[0]);
if ( filter_type == KaiserFilter || window_type == KaiserFilter )
(void) FormatLocaleFile(stdout,"# kaiser-beta = %.*g\n",
GetMagickPrecision(),(double) resize_filter->coefficient[0]);
(void) FormatLocaleFile(stdout,"# practical-support = %.*g\n",
GetMagickPrecision(), (double) support);
if ((filter_type == CubicFilter) || (window_type == CubicFilter))
(void) FormatLocaleFile(stdout,"# B,C = %.*g,%.*g\n",
GetMagickPrecision(),(double) B,GetMagickPrecision(),(double) C);
(void) FormatLocaleFile(stdout,"\n");
/*
Output values of resulting filter graph -- for graphing filter result.
*/
for (x=0.0; x <= support; x+=0.01f)
(void) FormatLocaleFile(stdout,"%5.2lf\t%.*g\n",x,
GetMagickPrecision(),(double)
GetResizeFilterWeight(resize_filter,x));
/*
A final value so gnuplot can graph the 'stop' properly.
*/
(void) FormatLocaleFile(stdout,"%5.2lf\t%.*g\n",support,
GetMagickPrecision(),0.0);
}
/* Output the above once only for each image - remove setting */
(void) DeleteImageArtifact((Image *) image,"filter:verbose");
#if defined(MAGICKCORE_OPENMP_SUPPORT)
}
#endif
return(resize_filter);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A d a p t i v e R e s i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AdaptiveResizeImage() adaptively resize image with pixel resampling.
%
% This is shortcut function for a fast interpolative resize using mesh
% interpolation. It works well for small resizes of less than +/- 50%
% of the original image size. For larger resizing on images a full
% filtered and slower resize function should be used instead.
%
% The format of the AdaptiveResizeImage method is:
%
% Image *AdaptiveResizeImage(const Image *image,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the resized image.
%
% o rows: the number of rows in the resized image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AdaptiveResizeImage(const Image *image,
const size_t columns,const size_t rows,ExceptionInfo *exception)
{
Image
*resize_image;
resize_image=InterpolativeResizeImage(image,columns,rows,MeshInterpolatePixel,
exception);
return(resize_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ B e s s e l O r d e r O n e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BesselOrderOne() computes the Bessel function of x of the first kind of
% order 0. This is used to create the Jinc() filter function below.
%
% Reduce x to |x| since j1(x)= -j1(-x), and for x in (0,8]
%
% j1(x) = x*j1(x);
%
% For x in (8,inf)
%
% j1(x) = sqrt(2/(pi*x))*(p1(x)*cos(x1)-q1(x)*sin(x1))
%
% where x1 = x-3*pi/4. Compute sin(x1) and cos(x1) as follow:
%
% cos(x1) = cos(x)cos(3pi/4)+sin(x)sin(3pi/4)
% = 1/sqrt(2) * (sin(x) - cos(x))
% sin(x1) = sin(x)cos(3pi/4)-cos(x)sin(3pi/4)
% = -1/sqrt(2) * (sin(x) + cos(x))
%
% The format of the BesselOrderOne method is:
%
% double BesselOrderOne(double x)
%
% A description of each parameter follows:
%
% o x: double value.
%
*/
#undef I0
static double I0(double x)
{
double
sum,
t,
y;
ssize_t
i;
/*
Zeroth order Bessel function of the first kind.
*/
sum=1.0;
y=x*x/4.0;
t=y;
for (i=2; t > MagickEpsilon; i++)
{
sum+=t;
t*=y/((double) i*i);
}
return(sum);
}
#undef J1
static double J1(double x)
{
double
p,
q;
ssize_t
i;
static const double
Pone[] =
{
0.581199354001606143928050809e+21,
-0.6672106568924916298020941484e+20,
0.2316433580634002297931815435e+19,
-0.3588817569910106050743641413e+17,
0.2908795263834775409737601689e+15,
-0.1322983480332126453125473247e+13,
0.3413234182301700539091292655e+10,
-0.4695753530642995859767162166e+7,
0.270112271089232341485679099e+4
},
Qone[] =
{
0.11623987080032122878585294e+22,
0.1185770712190320999837113348e+20,
0.6092061398917521746105196863e+17,
0.2081661221307607351240184229e+15,
0.5243710262167649715406728642e+12,
0.1013863514358673989967045588e+10,
0.1501793594998585505921097578e+7,
0.1606931573481487801970916749e+4,
0.1e+1
};
p=Pone[8];
q=Qone[8];
for (i=7; i >= 0; i--)
{
p=p*x*x+Pone[i];
q=q*x*x+Qone[i];
}
return(p/q);
}
#undef P1
static double P1(double x)
{
double
p,
q;
ssize_t
i;
static const double
Pone[] =
{
0.352246649133679798341724373e+5,
0.62758845247161281269005675e+5,
0.313539631109159574238669888e+5,
0.49854832060594338434500455e+4,
0.2111529182853962382105718e+3,
0.12571716929145341558495e+1
},
Qone[] =
{
0.352246649133679798068390431e+5,
0.626943469593560511888833731e+5,
0.312404063819041039923015703e+5,
0.4930396490181088979386097e+4,
0.2030775189134759322293574e+3,
0.1e+1
};
p=Pone[5];
q=Qone[5];
for (i=4; i >= 0; i--)
{
p=p*(8.0/x)*(8.0/x)+Pone[i];
q=q*(8.0/x)*(8.0/x)+Qone[i];
}
return(p/q);
}
#undef Q1
static double Q1(double x)
{
double
p,
q;
ssize_t
i;
static const double
Pone[] =
{
0.3511751914303552822533318e+3,
0.7210391804904475039280863e+3,
0.4259873011654442389886993e+3,
0.831898957673850827325226e+2,
0.45681716295512267064405e+1,
0.3532840052740123642735e-1
},
Qone[] =
{
0.74917374171809127714519505e+4,
0.154141773392650970499848051e+5,
0.91522317015169922705904727e+4,
0.18111867005523513506724158e+4,
0.1038187585462133728776636e+3,
0.1e+1
};
p=Pone[5];
q=Qone[5];
for (i=4; i >= 0; i--)
{
p=p*(8.0/x)*(8.0/x)+Pone[i];
q=q*(8.0/x)*(8.0/x)+Qone[i];
}
return(p/q);
}
static double BesselOrderOne(double x)
{
double
p,
q;
if (x == 0.0)
return(0.0);
p=x;
if (x < 0.0)
x=(-x);
if (x < 8.0)
return(p*J1(x));
q=sqrt((double) (2.0/(MagickPI*x)))*(P1(x)*(1.0/sqrt(2.0)*(sin(x)-
cos(x)))-8.0/x*Q1(x)*(-1.0/sqrt(2.0)*(sin(x)+cos(x))));
if (p < 0.0)
q=(-q);
return(q);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y R e s i z e F i l t e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyResizeFilter() destroy the resize filter.
%
% The format of the DestroyResizeFilter method is:
%
% ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
%
% A description of each parameter follows:
%
% o resize_filter: the resize filter.
%
*/
MagickPrivate ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
resize_filter->signature=(~MagickCoreSignature);
resize_filter=(ResizeFilter *) RelinquishMagickMemory(resize_filter);
return(resize_filter);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t R e s i z e F i l t e r S u p p o r t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetResizeFilterSupport() return the current support window size for this
% filter. Note that this may have been enlarged by filter:blur factor.
%
% The format of the GetResizeFilterSupport method is:
%
% double GetResizeFilterSupport(const ResizeFilter *resize_filter)
%
% A description of each parameter follows:
%
% o filter: Image filter to use.
%
*/
MagickPrivate double *GetResizeFilterCoefficient(
const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return((double *) resize_filter->coefficient);
}
MagickPrivate double GetResizeFilterBlur(const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->blur);
}
MagickPrivate double GetResizeFilterScale(const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->scale);
}
MagickPrivate double GetResizeFilterWindowSupport(
const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->window_support);
}
MagickPrivate ResizeWeightingFunctionType GetResizeFilterWeightingType(
const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->filterWeightingType);
}
MagickPrivate ResizeWeightingFunctionType GetResizeFilterWindowWeightingType(
const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->windowWeightingType);
}
MagickPrivate double GetResizeFilterSupport(const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->support*resize_filter->blur);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t R e s i z e F i l t e r W e i g h t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetResizeFilterWeight evaluates the specified resize filter at the point x
% which usally lies between zero and the filters current 'support' and
% returns the weight of the filter function at that point.
%
% The format of the GetResizeFilterWeight method is:
%
% double GetResizeFilterWeight(const ResizeFilter *resize_filter,
% const double x)
%
% A description of each parameter follows:
%
% o filter: the filter type.
%
% o x: the point.
%
*/
MagickPrivate double GetResizeFilterWeight(const ResizeFilter *resize_filter,
const double x)
{
double
scale,
weight,
x_blur;
/*
Windowing function - scale the weighting filter by this amount.
*/
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
x_blur=fabs((double) x)*PerceptibleReciprocal(resize_filter->blur); /* X offset with blur scaling */
if ((resize_filter->window_support < MagickEpsilon) ||
(resize_filter->window == Box))
scale=1.0; /* Point or Box Filter -- avoid division by zero */
else
{
scale=resize_filter->scale;
scale=resize_filter->window(x_blur*scale,resize_filter);
}
weight=scale*resize_filter->filter(x_blur,resize_filter);
return(weight);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I n t e r p o l a t i v e R e s i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InterpolativeResizeImage() resizes an image using the specified
% interpolation method.
%
% The format of the InterpolativeResizeImage method is:
%
% Image *InterpolativeResizeImage(const Image *image,const size_t columns,
% const size_t rows,const PixelInterpolateMethod method,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the resized image.
%
% o rows: the number of rows in the resized image.
%
% o method: the pixel interpolation method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *InterpolativeResizeImage(const Image *image,
const size_t columns,const size_t rows,const PixelInterpolateMethod method,
ExceptionInfo *exception)
{
#define InterpolativeResizeImageTag "Resize/Image"
CacheView
*image_view,
*resize_view;
Image
*resize_image;
MagickBooleanType
status;
MagickOffsetType
progress;
PointInfo
scale;
ssize_t
y;
/*
Interpolatively resize image.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows))
return(CloneImage(image,0,0,MagickTrue,exception));
resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (resize_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(resize_image,DirectClass,exception) == MagickFalse)
{
resize_image=DestroyImage(resize_image);
return((Image *) NULL);
}
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
resize_view=AcquireAuthenticCacheView(resize_image,exception);
scale.x=(double) image->columns/resize_image->columns;
scale.y=(double) image->rows/resize_image->rows;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,resize_image,resize_image->rows,1)
#endif
for (y=0; y < (ssize_t) resize_image->rows; y++)
{
PointInfo
offset;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
exception);
if (q == (Quantum *) NULL)
continue;
offset.y=((double) y+0.5)*scale.y-0.5;
for (x=0; x < (ssize_t) resize_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel
channel;
PixelTrait
resize_traits,
traits;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
resize_traits=GetPixelChannelTraits(resize_image,channel);
if ((traits == UndefinedPixelTrait) ||
(resize_traits == UndefinedPixelTrait))
continue;
offset.x=((double) x+0.5)*scale.x-0.5;
status=InterpolatePixelChannels(image,image_view,resize_image,method,
offset.x,offset.y,q,exception);
if (status == MagickFalse)
break;
}
q+=GetPixelChannels(resize_image);
}
if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,InterpolativeResizeImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
resize_view=DestroyCacheView(resize_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
resize_image=DestroyImage(resize_image);
return(resize_image);
}
#if defined(MAGICKCORE_LQR_DELEGATE)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L i q u i d R e s c a l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LiquidRescaleImage() rescales image with seam carving.
%
% The format of the LiquidRescaleImage method is:
%
% Image *LiquidRescaleImage(const Image *image,const size_t columns,
% const size_t rows,const double delta_x,const double rigidity,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the rescaled image.
%
% o rows: the number of rows in the rescaled image.
%
% o delta_x: maximum seam transversal step (0 means straight seams).
%
% o rigidity: introduce a bias for non-straight seams (typically 0).
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *LiquidRescaleImage(const Image *image,const size_t columns,
const size_t rows,const double delta_x,const double rigidity,
ExceptionInfo *exception)
{
#define LiquidRescaleImageTag "Rescale/Image"
CacheView
*image_view,
*rescale_view;
gfloat
*packet,
*pixels;
Image
*rescale_image;
int
x_offset,
y_offset;
LqrCarver
*carver;
LqrRetVal
lqr_status;
MagickBooleanType
status;
MemoryInfo
*pixel_info;
gfloat
*q;
ssize_t
y;
/*
Liquid rescale image.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows))
return(CloneImage(image,0,0,MagickTrue,exception));
if ((columns <= 2) || (rows <= 2))
return(ResizeImage(image,columns,rows,image->filter,exception));
pixel_info=AcquireVirtualMemory(image->columns,image->rows*MaxPixelChannels*
sizeof(*pixels));
if (pixel_info == (MemoryInfo *) NULL)
return((Image *) NULL);
pixels=(gfloat *) GetVirtualMemoryBlob(pixel_info);
status=MagickTrue;
q=pixels;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
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)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
*q++=QuantumScale*p[i];
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
carver=lqr_carver_new_ext(pixels,(int) image->columns,(int) image->rows,
(int) GetPixelChannels(image),LQR_COLDEPTH_32F);
if (carver == (LqrCarver *) NULL)
{
pixel_info=RelinquishVirtualMemory(pixel_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
lqr_carver_set_preserve_input_image(carver);
lqr_status=lqr_carver_init(carver,(int) delta_x,rigidity);
lqr_status=lqr_carver_resize(carver,(int) columns,(int) rows);
(void) lqr_status;
rescale_image=CloneImage(image,lqr_carver_get_width(carver),
lqr_carver_get_height(carver),MagickTrue,exception);
if (rescale_image == (Image *) NULL)
{
pixel_info=RelinquishVirtualMemory(pixel_info);
return((Image *) NULL);
}
if (SetImageStorageClass(rescale_image,DirectClass,exception) == MagickFalse)
{
pixel_info=RelinquishVirtualMemory(pixel_info);
rescale_image=DestroyImage(rescale_image);
return((Image *) NULL);
}
rescale_view=AcquireAuthenticCacheView(rescale_image,exception);
(void) lqr_carver_scan_reset(carver);
while (lqr_carver_scan_ext(carver,&x_offset,&y_offset,(void **) &packet) != 0)
{
Quantum
*magick_restrict p;
ssize_t
i;
p=QueueCacheViewAuthenticPixels(rescale_view,x_offset,y_offset,1,1,
exception);
if (p == (Quantum *) NULL)
break;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel
channel;
PixelTrait
rescale_traits,
traits;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
rescale_traits=GetPixelChannelTraits(rescale_image,channel);
if ((traits == UndefinedPixelTrait) ||
(rescale_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(rescale_image,channel,ClampToQuantum(QuantumRange*
packet[i]),p);
}
if (SyncCacheViewAuthenticPixels(rescale_view,exception) == MagickFalse)
break;
}
rescale_view=DestroyCacheView(rescale_view);
pixel_info=RelinquishVirtualMemory(pixel_info);
lqr_carver_destroy(carver);
return(rescale_image);
}
#else
MagickExport Image *LiquidRescaleImage(const Image *image,
const size_t magick_unused(columns),const size_t magick_unused(rows),
const double magick_unused(delta_x),const double magick_unused(rigidity),
ExceptionInfo *exception)
{
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
(void) ThrowMagickException(exception,GetMagickModule(),MissingDelegateError,
"DelegateLibrarySupportNotBuiltIn","'%s' (LQR)",image->filename);
return((Image *) NULL);
}
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M a g n i f y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MagnifyImage() doubles the size of the image with a pixel art scaling
% algorithm.
%
% The format of the MagnifyImage method is:
%
% Image *MagnifyImage(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.
%
*/
static inline void CopyPixels(const Quantum *source,const ssize_t source_offset,
Quantum *destination,const ssize_t destination_offset,const size_t channels)
{
ssize_t
i;
for (i=0; i < (ssize_t) channels; i++)
destination[channels*destination_offset+i]=source[source_offset*channels+i];
}
static inline void MixPixels(const Quantum *source,const ssize_t *source_offset,
const size_t source_size,Quantum *destination,
const ssize_t destination_offset,const size_t channels)
{
ssize_t
sum;
ssize_t
i;
for (i=0; i < (ssize_t) channels; i++)
{
ssize_t
j;
sum=0;
for (j=0; j < (ssize_t) source_size; j++)
sum+=source[source_offset[j]*channels+i];
destination[channels*destination_offset+i]=(Quantum) (sum/source_size);
}
}
static inline void Mix2Pixels(const Quantum *source,
const ssize_t source_offset1,const ssize_t source_offset2,
Quantum *destination,const ssize_t destination_offset,const size_t channels)
{
const ssize_t
offsets[2] = { source_offset1, source_offset2 };
MixPixels(source,offsets,2,destination,destination_offset,channels);
}
static inline int PixelsEqual(const Quantum *source1,ssize_t offset1,
const Quantum *source2,ssize_t offset2,const size_t channels)
{
ssize_t
i;
offset1*=channels;
offset2*=channels;
for (i=0; i < (ssize_t) channels; i++)
if (source1[offset1+i] != source2[offset2+i])
return(0);
return(1);
}
static inline void Eagle2X(const Image *source,const Quantum *pixels,
Quantum *result,const size_t channels)
{
ssize_t
i;
(void) source;
for (i=0; i < 4; i++)
CopyPixels(pixels,4,result,i,channels);
if (PixelsEqual(pixels,0,pixels,1,channels) &&
PixelsEqual(pixels,1,pixels,3,channels))
CopyPixels(pixels,0,result,0,channels);
if (PixelsEqual(pixels,1,pixels,2,channels) &&
PixelsEqual(pixels,2,pixels,5,channels))
CopyPixels(pixels,2,result,1,channels);
if (PixelsEqual(pixels,3,pixels,6,channels) &&
PixelsEqual(pixels,6,pixels,7,channels))
CopyPixels(pixels,6,result,2,channels);
if (PixelsEqual(pixels,5,pixels,8,channels) &&
PixelsEqual(pixels,8,pixels,7,channels))
CopyPixels(pixels,8,result,3,channels);
}
static void Hq2XHelper(const unsigned int rule,const Quantum *source,
Quantum *destination,const ssize_t destination_offset,const size_t channels,
const ssize_t e,const ssize_t a,const ssize_t b,const ssize_t d,
const ssize_t f,const ssize_t h)
{
#define caseA(N,A,B,C,D) \
case N: \
{ \
const ssize_t \
offsets[4] = { A, B, C, D }; \
\
MixPixels(source,offsets,4,destination,destination_offset,channels);\
break; \
}
#define caseB(N,A,B,C,D,E,F,G,H) \
case N: \
{ \
const ssize_t \
offsets[8] = { A, B, C, D, E, F, G, H }; \
\
MixPixels(source,offsets,8,destination,destination_offset,channels);\
break; \
}
switch (rule)
{
case 0:
{
CopyPixels(source,e,destination,destination_offset,channels);
break;
}
caseA(1,e,e,e,a)
caseA(2,e,e,e,d)
caseA(3,e,e,e,b)
caseA(4,e,e,d,b)
caseA(5,e,e,a,b)
caseA(6,e,e,a,d)
caseB(7,e,e,e,e,e,b,b,d)
caseB(8,e,e,e,e,e,d,d,b)
caseB(9,e,e,e,e,e,e,d,b)
caseB(10,e,e,d,d,d,b,b,b)
case 11:
{
const ssize_t
offsets[16] = { e, e, e, e, e, e, e, e, e, e, e, e, e, e, d, b };
MixPixels(source,offsets,16,destination,destination_offset,channels);
break;
}
case 12:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[4] = { e, e, d, b };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
else
CopyPixels(source,e,destination,destination_offset,channels);
break;
}
case 13:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[8] = { e, e, d, d, d, b, b, b };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
CopyPixels(source,e,destination,destination_offset,channels);
break;
}
case 14:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[16] = { e, e, e, e, e, e, e, e, e, e, e, e, e, e, d, b };
MixPixels(source,offsets,16,destination,destination_offset,channels);
}
else
CopyPixels(source,e,destination,destination_offset,channels);
break;
}
case 15:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[4] = { e, e, d, b };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, a };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
case 16:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[8] = { e, e, e, e, e, e, d, b };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, a };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
case 17:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[8] = { e, e, d, d, d, b, b, b };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, a };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
case 18:
{
if (PixelsEqual(source,b,source,f,channels))
{
const ssize_t
offsets[8] = { e, e, e, e, e, b, b, d };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, d };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
default:
{
if (PixelsEqual(source,d,source,h,channels))
{
const ssize_t
offsets[8] = { e, e, e, e, e, d, d, b };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, b };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
}
#undef caseA
#undef caseB
}
static inline unsigned int Hq2XPatternToNumber(const int *pattern)
{
ssize_t
i;
unsigned int
result,
order;
result=0;
order=1;
for (i=7; i >= 0; i--)
{
result+=order*pattern[i];
order*=2;
}
return(result);
}
static inline void Hq2X(const Image *source,const Quantum *pixels,
Quantum *result,const size_t channels)
{
static const unsigned int
Hq2XTable[] =
{
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 15, 12, 5, 3, 17, 13,
4, 4, 6, 18, 4, 4, 6, 18, 5, 3, 12, 12, 5, 3, 1, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 17, 13, 5, 3, 16, 14,
4, 4, 6, 18, 4, 4, 6, 18, 5, 3, 16, 12, 5, 3, 1, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 19, 12, 12, 5, 19, 16, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 16, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 19, 1, 12, 5, 19, 1, 14,
4, 4, 6, 2, 4, 4, 6, 18, 5, 3, 16, 12, 5, 19, 1, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 15, 12, 5, 3, 17, 13,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 16, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 17, 13, 5, 3, 16, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 13, 5, 3, 1, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 16, 13,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 1, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 1, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 1, 12, 5, 3, 1, 14
};
const int
pattern1[] =
{
!PixelsEqual(pixels,4,pixels,8,channels),
!PixelsEqual(pixels,4,pixels,7,channels),
!PixelsEqual(pixels,4,pixels,6,channels),
!PixelsEqual(pixels,4,pixels,5,channels),
!PixelsEqual(pixels,4,pixels,3,channels),
!PixelsEqual(pixels,4,pixels,2,channels),
!PixelsEqual(pixels,4,pixels,1,channels),
!PixelsEqual(pixels,4,pixels,0,channels)
};
#define Rotated(p) p[2], p[4], p[7], p[1], p[6], p[0], p[3], p[5]
const int pattern2[] = { Rotated(pattern1) };
const int pattern3[] = { Rotated(pattern2) };
const int pattern4[] = { Rotated(pattern3) };
#undef Rotated
(void) source;
Hq2XHelper(Hq2XTable[Hq2XPatternToNumber(pattern1)],pixels,result,0,
channels,4,0,1,3,5,7);
Hq2XHelper(Hq2XTable[Hq2XPatternToNumber(pattern2)],pixels,result,1,
channels,4,2,5,1,7,3);
Hq2XHelper(Hq2XTable[Hq2XPatternToNumber(pattern3)],pixels,result,3,
channels,4,8,7,5,3,1);
Hq2XHelper(Hq2XTable[Hq2XPatternToNumber(pattern4)],pixels,result,2,
channels,4,6,3,7,1,5);
}
static void Fish2X(const Image *source,const Quantum *pixels,Quantum *result,
const size_t channels)
{
#define Corner(A,B,C,D) \
{ \
if (intensities[B] > intensities[A]) \
{ \
const ssize_t \
offsets[3] = { B, C, D }; \
\
MixPixels(pixels,offsets,3,result,3,channels); \
} \
else \
{ \
const ssize_t \
offsets[3] = { A, B, C }; \
\
MixPixels(pixels,offsets,3,result,3,channels); \
} \
}
#define Line(A,B,C,D) \
{ \
if (intensities[C] > intensities[A]) \
Mix2Pixels(pixels,C,D,result,3,channels); \
else \
Mix2Pixels(pixels,A,B,result,3,channels); \
}
const ssize_t
pixels_offsets[4] = { 0, 1, 3, 4 };
MagickFloatType
intensities[9];
int
ae,
bd,
ab,
ad,
be,
de;
ssize_t
i;
for (i=0; i < 9; i++)
intensities[i]=GetPixelIntensity(source,pixels + i*channels);
CopyPixels(pixels,0,result,0,channels);
CopyPixels(pixels,(ssize_t) (intensities[0] > intensities[1] ? 0 : 1),result,
1,channels);
CopyPixels(pixels,(ssize_t) (intensities[0] > intensities[3] ? 0 : 3),result,
2,channels);
ae=PixelsEqual(pixels,0,pixels,4,channels);
bd=PixelsEqual(pixels,1,pixels,3,channels);
ab=PixelsEqual(pixels,0,pixels,1,channels);
de=PixelsEqual(pixels,3,pixels,4,channels);
ad=PixelsEqual(pixels,0,pixels,3,channels);
be=PixelsEqual(pixels,1,pixels,4,channels);
if (ae && bd && ab)
{
CopyPixels(pixels,0,result,3,channels);
return;
}
if (ad && de && !ab)
{
Corner(1,0,4,3)
return;
}
if (be && de && !ab)
{
Corner(0,1,3,4)
return;
}
if (ad && ab && !be)
{
Corner(4,3,1,0)
return;
}
if (ab && be && !ad)
{
Corner(3,0,4,1)
return;
}
if (ae && (!bd || intensities[1] > intensities[0]))
{
Mix2Pixels(pixels,0,4,result,3,channels);
return;
}
if (bd && (!ae || intensities[0] > intensities[1]))
{
Mix2Pixels(pixels,1,3,result,3,channels);
return;
}
if (ab)
{
Line(0,1,3,4)
return;
}
if (de)
{
Line(3,4,0,1)
return;
}
if (ad)
{
Line(0,3,1,4)
return;
}
if (be)
{
Line(1,4,0,3)
return;
}
MixPixels(pixels,pixels_offsets,4,result,3,channels);
#undef Corner
#undef Line
}
static void Xbr2X(const Image *magick_unused(source),const Quantum *pixels,
Quantum *result,const size_t channels)
{
#define WeightVar(M,N) const int w_##M##_##N = \
PixelsEqual(pixels,M,pixels,N,channels) ? 0 : 1;
WeightVar(12,11)
WeightVar(12,7)
WeightVar(12,13)
WeightVar(12,17)
WeightVar(12,16)
WeightVar(12,8)
WeightVar(6,10)
WeightVar(6,2)
WeightVar(11,7)
WeightVar(11,17)
WeightVar(11,5)
WeightVar(7,13)
WeightVar(7,1)
WeightVar(12,6)
WeightVar(12,18)
WeightVar(8,14)
WeightVar(8,2)
WeightVar(13,17)
WeightVar(13,9)
WeightVar(7,3)
WeightVar(16,10)
WeightVar(16,22)
WeightVar(17,21)
WeightVar(11,15)
WeightVar(18,14)
WeightVar(18,22)
WeightVar(17,23)
WeightVar(17,19)
#undef WeightVar
magick_unreferenced(source);
if (
w_12_16 + w_12_8 + w_6_10 + w_6_2 + (4 * w_11_7) <
w_11_17 + w_11_5 + w_7_13 + w_7_1 + (4 * w_12_6)
)
Mix2Pixels(pixels,(ssize_t) (w_12_11 <= w_12_7 ? 11 : 7),12,result,0,
channels);
else
CopyPixels(pixels,12,result,0,channels);
if (
w_12_18 + w_12_6 + w_8_14 + w_8_2 + (4 * w_7_13) <
w_13_17 + w_13_9 + w_11_7 + w_7_3 + (4 * w_12_8)
)
Mix2Pixels(pixels,(ssize_t) (w_12_7 <= w_12_13 ? 7 : 13),12,result,1,
channels);
else
CopyPixels(pixels,12,result,1,channels);
if (
w_12_6 + w_12_18 + w_16_10 + w_16_22 + (4 * w_11_17) <
w_11_7 + w_11_15 + w_13_17 + w_17_21 + (4 * w_12_16)
)
Mix2Pixels(pixels,(ssize_t) (w_12_11 <= w_12_17 ? 11 : 17),12,result,2,
channels);
else
CopyPixels(pixels,12,result,2,channels);
if (
w_12_8 + w_12_16 + w_18_14 + w_18_22 + (4 * w_13_17) <
w_11_17 + w_17_23 + w_17_19 + w_7_13 + (4 * w_12_18)
)
Mix2Pixels(pixels,(ssize_t) (w_12_13 <= w_12_17 ? 13 : 17),12,result,3,
channels);
else
CopyPixels(pixels,12,result,3,channels);
}
static void Scale2X(const Image *magick_unused(source),const Quantum *pixels,
Quantum *result,const size_t channels)
{
magick_unreferenced(source);
if (PixelsEqual(pixels,1,pixels,7,channels) ||
PixelsEqual(pixels,3,pixels,5,channels))
{
ssize_t
i;
for (i=0; i < 4; i++)
CopyPixels(pixels,4,result,i,channels);
return;
}
if (PixelsEqual(pixels,1,pixels,3,channels))
CopyPixels(pixels,3,result,0,channels);
else
CopyPixels(pixels,4,result,0,channels);
if (PixelsEqual(pixels,1,pixels,5,channels))
CopyPixels(pixels,5,result,1,channels);
else
CopyPixels(pixels,4,result,1,channels);
if (PixelsEqual(pixels,3,pixels,7,channels))
CopyPixels(pixels,3,result,2,channels);
else
CopyPixels(pixels,4,result,2,channels);
if (PixelsEqual(pixels,5,pixels,7,channels))
CopyPixels(pixels,5,result,3,channels);
else
CopyPixels(pixels,4,result,3,channels);
}
static void Epbx2X(const Image *magick_unused(source),const Quantum *pixels,
Quantum *result,const size_t channels)
{
#define HelperCond(a,b,c,d,e,f,g) ( \
PixelsEqual(pixels,a,pixels,b,channels) && ( \
PixelsEqual(pixels,c,pixels,d,channels) || \
PixelsEqual(pixels,c,pixels,e,channels) || \
PixelsEqual(pixels,a,pixels,f,channels) || \
PixelsEqual(pixels,b,pixels,g,channels) \
) \
)
ssize_t
i;
magick_unreferenced(source);
for (i=0; i < 4; i++)
CopyPixels(pixels,4,result,i,channels);
if (
!PixelsEqual(pixels,3,pixels,5,channels) &&
!PixelsEqual(pixels,1,pixels,7,channels) &&
(
PixelsEqual(pixels,4,pixels,3,channels) ||
PixelsEqual(pixels,4,pixels,7,channels) ||
PixelsEqual(pixels,4,pixels,5,channels) ||
PixelsEqual(pixels,4,pixels,1,channels) ||
(
(
!PixelsEqual(pixels,0,pixels,8,channels) ||
PixelsEqual(pixels,4,pixels,6,channels) ||
PixelsEqual(pixels,3,pixels,2,channels)
) &&
(
!PixelsEqual(pixels,6,pixels,2,channels) ||
PixelsEqual(pixels,4,pixels,0,channels) ||
PixelsEqual(pixels,4,pixels,8,channels)
)
)
)
)
{
if (HelperCond(1,3,4,0,8,2,6))
Mix2Pixels(pixels,1,3,result,0,channels);
if (HelperCond(5,1,4,2,6,8,0))
Mix2Pixels(pixels,5,1,result,1,channels);
if (HelperCond(3,7,4,6,2,0,8))
Mix2Pixels(pixels,3,7,result,2,channels);
if (HelperCond(7,5,4,8,0,6,2))
Mix2Pixels(pixels,7,5,result,3,channels);
}
#undef HelperCond
}
static inline void Eagle3X(const Image *magick_unused(source),
const Quantum *pixels,Quantum *result,const size_t channels)
{
ssize_t
corner_tl,
corner_tr,
corner_bl,
corner_br;
magick_unreferenced(source);
corner_tl=PixelsEqual(pixels,0,pixels,1,channels) &&
PixelsEqual(pixels,0,pixels,3,channels);
corner_tr=PixelsEqual(pixels,1,pixels,2,channels) &&
PixelsEqual(pixels,2,pixels,5,channels);
corner_bl=PixelsEqual(pixels,3,pixels,6,channels) &&
PixelsEqual(pixels,6,pixels,7,channels);
corner_br=PixelsEqual(pixels,5,pixels,7,channels) &&
PixelsEqual(pixels,7,pixels,8,channels);
CopyPixels(pixels,(ssize_t) (corner_tl ? 0 : 4),result,0,channels);
if (corner_tl && corner_tr)
Mix2Pixels(pixels,0,2,result,1,channels);
else
CopyPixels(pixels,4,result,1,channels);
CopyPixels(pixels,(ssize_t) (corner_tr ? 1 : 4),result,2,channels);
if (corner_tl && corner_bl)
Mix2Pixels(pixels,0,6,result,3,channels);
else
CopyPixels(pixels,4,result,3,channels);
CopyPixels(pixels,4,result,4,channels);
if (corner_tr && corner_br)
Mix2Pixels(pixels,2,8,result,5,channels);
else
CopyPixels(pixels,4,result,5,channels);
CopyPixels(pixels,(ssize_t) (corner_bl ? 3 : 4),result,6,channels);
if (corner_bl && corner_br)
Mix2Pixels(pixels,6,8,result,7,channels);
else
CopyPixels(pixels,4,result,7,channels);
CopyPixels(pixels,(ssize_t) (corner_br ? 5 : 4),result,8,channels);
}
static inline void Eagle3XB(const Image *magick_unused(source),
const Quantum *pixels,Quantum *result,const size_t channels)
{
ssize_t
corner_tl,
corner_tr,
corner_bl,
corner_br;
magick_unreferenced(source);
corner_tl=PixelsEqual(pixels,0,pixels,1,channels) &&
PixelsEqual(pixels,0,pixels,3,channels);
corner_tr=PixelsEqual(pixels,1,pixels,2,channels) &&
PixelsEqual(pixels,2,pixels,5,channels);
corner_bl=PixelsEqual(pixels,3,pixels,6,channels) &&
PixelsEqual(pixels,6,pixels,7,channels);
corner_br=PixelsEqual(pixels,5,pixels,7,channels) &&
PixelsEqual(pixels,7,pixels,8,channels);
CopyPixels(pixels,(ssize_t) (corner_tl ? 0 : 4),result,0,channels);
CopyPixels(pixels,4,result,1,channels);
CopyPixels(pixels,(ssize_t) (corner_tr ? 1 : 4),result,2,channels);
CopyPixels(pixels,4,result,3,channels);
CopyPixels(pixels,4,result,4,channels);
CopyPixels(pixels,4,result,5,channels);
CopyPixels(pixels,(ssize_t) (corner_bl ? 3 : 4),result,6,channels);
CopyPixels(pixels,4,result,7,channels);
CopyPixels(pixels,(ssize_t) (corner_br ? 5 : 4),result,8,channels);
}
static inline void Scale3X(const Image *magick_unused(source),
const Quantum *pixels,Quantum *result,const size_t channels)
{
magick_unreferenced(source);
if (!PixelsEqual(pixels,1,pixels,7,channels) &&
!PixelsEqual(pixels,3,pixels,5,channels))
{
if (PixelsEqual(pixels,3,pixels,1,channels))
CopyPixels(pixels,3,result,0,channels);
else
CopyPixels(pixels,4,result,0,channels);
if (
(
PixelsEqual(pixels,3,pixels,1,channels) &&
!PixelsEqual(pixels,4,pixels,2,channels)
) ||
(
PixelsEqual(pixels,5,pixels,1,channels) &&
!PixelsEqual(pixels,4,pixels,0,channels)
)
)
CopyPixels(pixels,1,result,1,channels);
else
CopyPixels(pixels,4,result,1,channels);
if (PixelsEqual(pixels,5,pixels,1,channels))
CopyPixels(pixels,5,result,2,channels);
else
CopyPixels(pixels,4,result,2,channels);
if (
(
PixelsEqual(pixels,3,pixels,1,channels) &&
!PixelsEqual(pixels,4,pixels,6,channels)
) ||
(
PixelsEqual(pixels,3,pixels,7,channels) &&
!PixelsEqual(pixels,4,pixels,0,channels)
)
)
CopyPixels(pixels,3,result,3,channels);
else
CopyPixels(pixels,4,result,3,channels);
CopyPixels(pixels,4,result,4,channels);
if (
(
PixelsEqual(pixels,5,pixels,1,channels) &&
!PixelsEqual(pixels,4,pixels,8,channels)
) ||
(
PixelsEqual(pixels,5,pixels,7,channels) &&
!PixelsEqual(pixels,4,pixels,2,channels)
)
)
CopyPixels(pixels,5,result,5,channels);
else
CopyPixels(pixels,4,result,5,channels);
if (PixelsEqual(pixels,3,pixels,7,channels))
CopyPixels(pixels,3,result,6,channels);
else
CopyPixels(pixels,4,result,6,channels);
if (
(
PixelsEqual(pixels,3,pixels,7,channels) &&
!PixelsEqual(pixels,4,pixels,8,channels)
) ||
(
PixelsEqual(pixels,5,pixels,7,channels) &&
!PixelsEqual(pixels,4,pixels,6,channels)
)
)
CopyPixels(pixels,7,result,7,channels);
else
CopyPixels(pixels,4,result,7,channels);
if (PixelsEqual(pixels,5,pixels,7,channels))
CopyPixels(pixels,5,result,8,channels);
else
CopyPixels(pixels,4,result,8,channels);
}
else
{
ssize_t
i;
for (i=0; i < 9; i++)
CopyPixels(pixels,4,result,i,channels);
}
}
MagickExport Image *MagnifyImage(const Image *image,ExceptionInfo *exception)
{
#define MagnifyImageTag "Magnify/Image"
CacheView
*image_view,
*magnify_view;
const char
*option;
Image
*source_image,
*magnify_image;
MagickBooleanType
status;
MagickOffsetType
progress;
OffsetInfo
offset;
RectangleInfo
rectangle;
ssize_t
y;
unsigned char
magnification,
width;
void
(*scaling_method)(const Image *,const Quantum *,Quantum *,size_t);
/*
Initialize magnified image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
option=GetImageOption(image->image_info,"magnify:method");
if (option == (char *) NULL)
option="scale2x";
scaling_method=Scale2X;
magnification=1;
width=1;
switch (*option)
{
case 'e':
{
if (LocaleCompare(option,"eagle2x") == 0)
{
scaling_method=Eagle2X;
magnification=2;
width=3;
break;
}
if (LocaleCompare(option,"eagle3x") == 0)
{
scaling_method=Eagle3X;
magnification=3;
width=3;
break;
}
if (LocaleCompare(option,"eagle3xb") == 0)
{
scaling_method=Eagle3XB;
magnification=3;
width=3;
break;
}
if (LocaleCompare(option,"epbx2x") == 0)
{
scaling_method=Epbx2X;
magnification=2;
width=3;
break;
}
break;
}
case 'f':
{
if (LocaleCompare(option,"fish2x") == 0)
{
scaling_method=Fish2X;
magnification=2;
width=3;
break;
}
break;
}
case 'h':
{
if (LocaleCompare(option,"hq2x") == 0)
{
scaling_method=Hq2X;
magnification=2;
width=3;
break;
}
break;
}
case 's':
{
if (LocaleCompare(option,"scale2x") == 0)
{
scaling_method=Scale2X;
magnification=2;
width=3;
break;
}
if (LocaleCompare(option,"scale3x") == 0)
{
scaling_method=Scale3X;
magnification=3;
width=3;
break;
}
break;
}
case 'x':
{
if (LocaleCompare(option,"xbr2x") == 0)
{
scaling_method=Xbr2X;
magnification=2;
width=5;
}
break;
}
default:
break;
}
/*
Make a working copy of the source image and convert it to RGB colorspace.
*/
source_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (source_image == (Image *) NULL)
return((Image *) NULL);
offset.x=0;
offset.y=0;
rectangle.x=0;
rectangle.y=0;
rectangle.width=image->columns;
rectangle.height=image->rows;
(void) CopyImagePixels(source_image,image,&rectangle,&offset,exception);
(void) SetImageColorspace(source_image,RGBColorspace,exception);
magnify_image=CloneImage(source_image,magnification*source_image->columns,
magnification*source_image->rows,MagickTrue,exception);
if (magnify_image == (Image *) NULL)
{
source_image=DestroyImage(source_image);
return((Image *) NULL);
}
/*
Magnify the image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(source_image,exception);
magnify_view=AcquireAuthenticCacheView(magnify_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,magnify_image,source_image->rows,1)
#endif
for (y=0; y < (ssize_t) source_image->rows; y++)
{
Quantum
r[128]; /* to hold result pixels */
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(magnify_view,0,magnification*y,
magnify_image->columns,magnification,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
/*
Magnify this row of pixels.
*/
for (x=0; x < (ssize_t) source_image->columns; x++)
{
const Quantum
*magick_restrict p;
size_t
channels;
ssize_t
i;
ssize_t
j;
p=GetCacheViewVirtualPixels(image_view,x-width/2,y-width/2,width,width,
exception);
channels=GetPixelChannels(source_image);
scaling_method(source_image,p,r,channels);
/*
Copy the result pixels into the final image.
*/
for (j=0; j < (ssize_t) magnification; j++)
for (i=0; i < (ssize_t) (channels*magnification); i++)
q[j*channels*magnify_image->columns+i]=r[j*magnification*channels+i];
q+=magnification*GetPixelChannels(magnify_image);
}
if (SyncCacheViewAuthenticPixels(magnify_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,MagnifyImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
magnify_view=DestroyCacheView(magnify_view);
image_view=DestroyCacheView(image_view);
source_image=DestroyImage(source_image);
if (status == MagickFalse)
magnify_image=DestroyImage(magnify_image);
return(magnify_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M i n i f y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MinifyImage() is a convenience method that scales an image proportionally to
% half its size.
%
% The format of the MinifyImage method is:
%
% Image *MinifyImage(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 *MinifyImage(const Image *image,ExceptionInfo *exception)
{
Image
*minify_image;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
minify_image=ResizeImage(image,image->columns/2,image->rows/2,SplineFilter,
exception);
return(minify_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s a m p l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResampleImage() resize image in terms of its pixel size, so that when
% displayed at the given resolution it will be the same size in terms of
% real world units as the original image at the original resolution.
%
% The format of the ResampleImage method is:
%
% Image *ResampleImage(Image *image,const double x_resolution,
% const double y_resolution,const FilterType filter,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image to be resized to fit the given resolution.
%
% o x_resolution: the new image x resolution.
%
% o y_resolution: the new image y resolution.
%
% o filter: Image filter to use.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ResampleImage(const Image *image,const double x_resolution,
const double y_resolution,const FilterType filter,ExceptionInfo *exception)
{
#define ResampleImageTag "Resample/Image"
Image
*resample_image;
size_t
height,
width;
/*
Initialize sampled image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
width=(size_t) (x_resolution*image->columns/(image->resolution.x == 0.0 ?
DefaultResolution : image->resolution.x)+0.5);
height=(size_t) (y_resolution*image->rows/(image->resolution.y == 0.0 ?
DefaultResolution : image->resolution.y)+0.5);
resample_image=ResizeImage(image,width,height,filter,exception);
if (resample_image != (Image *) NULL)
{
resample_image->resolution.x=x_resolution;
resample_image->resolution.y=y_resolution;
}
return(resample_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResizeImage() scales an image to the desired dimensions, using the given
% filter (see AcquireFilterInfo()).
%
% If an undefined filter is given the filter defaults to Mitchell for a
% colormapped image, a image with a matte channel, or if the image is
% enlarged. Otherwise the filter defaults to a Lanczos.
%
% ResizeImage() was inspired by Paul Heckbert's "zoom" program.
%
% The format of the ResizeImage method is:
%
% Image *ResizeImage(Image *image,const size_t columns,const size_t rows,
% const FilterType filter,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the scaled image.
%
% o rows: the number of rows in the scaled image.
%
% o filter: Image filter to use.
%
% o exception: return any errors or warnings in this structure.
%
*/
typedef struct _ContributionInfo
{
double
weight;
ssize_t
pixel;
} ContributionInfo;
static ContributionInfo **DestroyContributionThreadSet(
ContributionInfo **contribution)
{
ssize_t
i;
assert(contribution != (ContributionInfo **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (contribution[i] != (ContributionInfo *) NULL)
contribution[i]=(ContributionInfo *) RelinquishAlignedMemory(
contribution[i]);
contribution=(ContributionInfo **) RelinquishMagickMemory(contribution);
return(contribution);
}
static ContributionInfo **AcquireContributionThreadSet(const size_t count)
{
ssize_t
i;
ContributionInfo
**contribution;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
contribution=(ContributionInfo **) AcquireQuantumMemory(number_threads,
sizeof(*contribution));
if (contribution == (ContributionInfo **) NULL)
return((ContributionInfo **) NULL);
(void) memset(contribution,0,number_threads*sizeof(*contribution));
for (i=0; i < (ssize_t) number_threads; i++)
{
contribution[i]=(ContributionInfo *) MagickAssumeAligned(
AcquireAlignedMemory(count,sizeof(**contribution)));
if (contribution[i] == (ContributionInfo *) NULL)
return(DestroyContributionThreadSet(contribution));
}
return(contribution);
}
static MagickBooleanType HorizontalFilter(
const ResizeFilter *magick_restrict resize_filter,
const Image *magick_restrict image,Image *magick_restrict resize_image,
const double x_factor,const MagickSizeType span,
MagickOffsetType *magick_restrict progress,ExceptionInfo *exception)
{
#define ResizeImageTag "Resize/Image"
CacheView
*image_view,
*resize_view;
ClassType
storage_class;
ContributionInfo
**magick_restrict contributions;
MagickBooleanType
status;
double
scale,
support;
ssize_t
x;
/*
Apply filter to resize horizontally from image to resize image.
*/
scale=MagickMax(1.0/x_factor+MagickEpsilon,1.0);
support=scale*GetResizeFilterSupport(resize_filter);
storage_class=support > 0.5 ? DirectClass : image->storage_class;
if (SetImageStorageClass(resize_image,storage_class,exception) == MagickFalse)
return(MagickFalse);
if (support < 0.5)
{
/*
Support too small even for nearest neighbour: Reduce to point sampling.
*/
support=(double) 0.5;
scale=1.0;
}
contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
if (contributions == (ContributionInfo **) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
status=MagickTrue;
scale=PerceptibleReciprocal(scale);
image_view=AcquireVirtualCacheView(image,exception);
resize_view=AcquireAuthenticCacheView(resize_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,resize_image,resize_image->columns,1)
#endif
for (x=0; x < (ssize_t) resize_image->columns; x++)
{
const int
id = GetOpenMPThreadId();
double
bisect,
density;
const Quantum
*magick_restrict p;
ContributionInfo
*magick_restrict contribution;
Quantum
*magick_restrict q;
ssize_t
y;
ssize_t
n,
start,
stop;
if (status == MagickFalse)
continue;
bisect=(double) (x+0.5)/x_factor+MagickEpsilon;
start=(ssize_t) MagickMax(bisect-support+0.5,0.0);
stop=(ssize_t) MagickMin(bisect+support+0.5,(double) image->columns);
density=0.0;
contribution=contributions[id];
for (n=0; n < (stop-start); n++)
{
contribution[n].pixel=start+n;
contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
((double) (start+n)-bisect+0.5));
density+=contribution[n].weight;
}
if (n == 0)
continue;
if ((density != 0.0) && (density != 1.0))
{
ssize_t
i;
/*
Normalize.
*/
density=PerceptibleReciprocal(density);
for (i=0; i < n; i++)
contribution[i].weight*=density;
}
p=GetCacheViewVirtualPixels(image_view,contribution[0].pixel,0,(size_t)
(contribution[n-1].pixel-contribution[0].pixel+1),image->rows,exception);
q=QueueCacheViewAuthenticPixels(resize_view,x,0,1,resize_image->rows,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (y=0; y < (ssize_t) resize_image->rows; y++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha,
gamma,
pixel;
PixelChannel
channel;
PixelTrait
resize_traits,
traits;
ssize_t
j;
ssize_t
k;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
resize_traits=GetPixelChannelTraits(resize_image,channel);
if ((traits == UndefinedPixelTrait) ||
(resize_traits == UndefinedPixelTrait))
continue;
if (((resize_traits & CopyPixelTrait) != 0) ||
(GetPixelWriteMask(resize_image,q) <= (QuantumRange/2)))
{
j=(ssize_t) (MagickMin(MagickMax(bisect,(double) start),(double)
stop-1.0)+0.5);
k=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
(contribution[j-start].pixel-contribution[0].pixel);
SetPixelChannel(resize_image,channel,p[k*GetPixelChannels(image)+i],
q);
continue;
}
pixel=0.0;
if ((resize_traits & BlendPixelTrait) == 0)
{
/*
No alpha blending.
*/
for (j=0; j < n; j++)
{
k=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
(contribution[j].pixel-contribution[0].pixel);
alpha=contribution[j].weight;
pixel+=alpha*p[k*GetPixelChannels(image)+i];
}
SetPixelChannel(resize_image,channel,ClampToQuantum(pixel),q);
continue;
}
/*
Alpha blending.
*/
gamma=0.0;
for (j=0; j < n; j++)
{
k=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
(contribution[j].pixel-contribution[0].pixel);
alpha=contribution[j].weight*QuantumScale*
GetPixelAlpha(image,p+k*GetPixelChannels(image));
pixel+=alpha*p[k*GetPixelChannels(image)+i];
gamma+=alpha;
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(resize_image,channel,ClampToQuantum(gamma*pixel),q);
}
q+=GetPixelChannels(resize_image);
}
if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
(*progress)++;
proceed=SetImageProgress(image,ResizeImageTag,*progress,span);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
resize_view=DestroyCacheView(resize_view);
image_view=DestroyCacheView(image_view);
contributions=DestroyContributionThreadSet(contributions);
return(status);
}
static MagickBooleanType VerticalFilter(
const ResizeFilter *magick_restrict resize_filter,
const Image *magick_restrict image,Image *magick_restrict resize_image,
const double y_factor,const MagickSizeType span,
MagickOffsetType *magick_restrict progress,ExceptionInfo *exception)
{
CacheView
*image_view,
*resize_view;
ClassType
storage_class;
ContributionInfo
**magick_restrict contributions;
double
scale,
support;
MagickBooleanType
status;
ssize_t
y;
/*
Apply filter to resize vertically from image to resize image.
*/
scale=MagickMax(1.0/y_factor+MagickEpsilon,1.0);
support=scale*GetResizeFilterSupport(resize_filter);
storage_class=support > 0.5 ? DirectClass : image->storage_class;
if (SetImageStorageClass(resize_image,storage_class,exception) == MagickFalse)
return(MagickFalse);
if (support < 0.5)
{
/*
Support too small even for nearest neighbour: Reduce to point sampling.
*/
support=(double) 0.5;
scale=1.0;
}
contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
if (contributions == (ContributionInfo **) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
status=MagickTrue;
scale=PerceptibleReciprocal(scale);
image_view=AcquireVirtualCacheView(image,exception);
resize_view=AcquireAuthenticCacheView(resize_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,resize_image,resize_image->rows,1)
#endif
for (y=0; y < (ssize_t) resize_image->rows; y++)
{
const int
id = GetOpenMPThreadId();
double
bisect,
density;
const Quantum
*magick_restrict p;
ContributionInfo
*magick_restrict contribution;
Quantum
*magick_restrict q;
ssize_t
x;
ssize_t
n,
start,
stop;
if (status == MagickFalse)
continue;
bisect=(double) (y+0.5)/y_factor+MagickEpsilon;
start=(ssize_t) MagickMax(bisect-support+0.5,0.0);
stop=(ssize_t) MagickMin(bisect+support+0.5,(double) image->rows);
density=0.0;
contribution=contributions[id];
for (n=0; n < (stop-start); n++)
{
contribution[n].pixel=start+n;
contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
((double) (start+n)-bisect+0.5));
density+=contribution[n].weight;
}
if (n == 0)
continue;
if ((density != 0.0) && (density != 1.0))
{
ssize_t
i;
/*
Normalize.
*/
density=PerceptibleReciprocal(density);
for (i=0; i < n; i++)
contribution[i].weight*=density;
}
p=GetCacheViewVirtualPixels(image_view,0,contribution[0].pixel,
image->columns,(size_t) (contribution[n-1].pixel-contribution[0].pixel+1),
exception);
q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) resize_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha,
gamma,
pixel;
PixelChannel
channel;
PixelTrait
resize_traits,
traits;
ssize_t
j;
ssize_t
k;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
resize_traits=GetPixelChannelTraits(resize_image,channel);
if ((traits == UndefinedPixelTrait) ||
(resize_traits == UndefinedPixelTrait))
continue;
if (((resize_traits & CopyPixelTrait) != 0) ||
(GetPixelWriteMask(resize_image,q) <= (QuantumRange/2)))
{
j=(ssize_t) (MagickMin(MagickMax(bisect,(double) start),(double)
stop-1.0)+0.5);
k=(ssize_t) ((contribution[j-start].pixel-contribution[0].pixel)*
image->columns+x);
SetPixelChannel(resize_image,channel,p[k*GetPixelChannels(image)+i],
q);
continue;
}
pixel=0.0;
if ((resize_traits & BlendPixelTrait) == 0)
{
/*
No alpha blending.
*/
for (j=0; j < n; j++)
{
k=(ssize_t) ((contribution[j].pixel-contribution[0].pixel)*
image->columns+x);
alpha=contribution[j].weight;
pixel+=alpha*p[k*GetPixelChannels(image)+i];
}
SetPixelChannel(resize_image,channel,ClampToQuantum(pixel),q);
continue;
}
gamma=0.0;
for (j=0; j < n; j++)
{
k=(ssize_t) ((contribution[j].pixel-contribution[0].pixel)*
image->columns+x);
alpha=contribution[j].weight*QuantumScale*GetPixelAlpha(image,p+k*
GetPixelChannels(image));
pixel+=alpha*p[k*GetPixelChannels(image)+i];
gamma+=alpha;
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(resize_image,channel,ClampToQuantum(gamma*pixel),q);
}
q+=GetPixelChannels(resize_image);
}
if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
(*progress)++;
proceed=SetImageProgress(image,ResizeImageTag,*progress,span);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
resize_view=DestroyCacheView(resize_view);
image_view=DestroyCacheView(image_view);
contributions=DestroyContributionThreadSet(contributions);
return(status);
}
MagickExport Image *ResizeImage(const Image *image,const size_t columns,
const size_t rows,const FilterType filter,ExceptionInfo *exception)
{
double
x_factor,
y_factor;
FilterType
filter_type;
Image
*filter_image,
*resize_image;
MagickOffsetType
offset;
MagickSizeType
span;
MagickStatusType
status;
ResizeFilter
*resize_filter;
/*
Acquire resize image.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows) &&
(filter == UndefinedFilter))
return(CloneImage(image,0,0,MagickTrue,exception));
/*
Acquire resize filter.
*/
x_factor=(double) columns/(double) image->columns;
y_factor=(double) rows/(double) image->rows;
filter_type=LanczosFilter;
if (filter != UndefinedFilter)
filter_type=filter;
else
if ((x_factor == 1.0) && (y_factor == 1.0))
filter_type=PointFilter;
else
if ((image->storage_class == PseudoClass) ||
(image->alpha_trait != UndefinedPixelTrait) ||
((x_factor*y_factor) > 1.0))
filter_type=MitchellFilter;
resize_filter=AcquireResizeFilter(image,filter_type,MagickFalse,exception);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
resize_image=AccelerateResizeImage(image,columns,rows,resize_filter,
exception);
if (resize_image != (Image *) NULL)
{
resize_filter=DestroyResizeFilter(resize_filter);
return(resize_image);
}
#endif
resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (resize_image == (Image *) NULL)
{
resize_filter=DestroyResizeFilter(resize_filter);
return(resize_image);
}
if (x_factor > y_factor)
filter_image=CloneImage(image,columns,image->rows,MagickTrue,exception);
else
filter_image=CloneImage(image,image->columns,rows,MagickTrue,exception);
if (filter_image == (Image *) NULL)
{
resize_filter=DestroyResizeFilter(resize_filter);
return(DestroyImage(resize_image));
}
/*
Resize image.
*/
offset=0;
if (x_factor > y_factor)
{
span=(MagickSizeType) (filter_image->columns+rows);
status=HorizontalFilter(resize_filter,image,filter_image,x_factor,span,
&offset,exception);
status&=VerticalFilter(resize_filter,filter_image,resize_image,y_factor,
span,&offset,exception);
}
else
{
span=(MagickSizeType) (filter_image->rows+columns);
status=VerticalFilter(resize_filter,image,filter_image,y_factor,span,
&offset,exception);
status&=HorizontalFilter(resize_filter,filter_image,resize_image,x_factor,
span,&offset,exception);
}
/*
Free resources.
*/
filter_image=DestroyImage(filter_image);
resize_filter=DestroyResizeFilter(resize_filter);
if (status == MagickFalse)
{
resize_image=DestroyImage(resize_image);
return((Image *) NULL);
}
resize_image->type=image->type;
return(resize_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S a m p l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SampleImage() scales an image to the desired dimensions with pixel
% sampling. Unlike other scaling methods, this method does not introduce
% any additional color into the scaled image.
%
% The format of the SampleImage method is:
%
% Image *SampleImage(const Image *image,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the sampled image.
%
% o rows: the number of rows in the sampled image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SampleImage(const Image *image,const size_t columns,
const size_t rows,ExceptionInfo *exception)
{
#define SampleImageTag "Sample/Image"
CacheView
*image_view,
*sample_view;
Image
*sample_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
x1;
ssize_t
*x_offset,
y;
PointInfo
sample_offset;
/*
Initialize sampled image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows))
return(CloneImage(image,0,0,MagickTrue,exception));
sample_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (sample_image == (Image *) NULL)
return((Image *) NULL);
/*
Set the sampling offset, default is in the mid-point of sample regions.
*/
sample_offset.x=sample_offset.y=0.5-MagickEpsilon;
{
const char
*value;
value=GetImageArtifact(image,"sample:offset");
if (value != (char *) NULL)
{
GeometryInfo
geometry_info;
MagickStatusType
flags;
(void) ParseGeometry(value,&geometry_info);
flags=ParseGeometry(value,&geometry_info);
sample_offset.x=sample_offset.y=geometry_info.rho/100.0-MagickEpsilon;
if ((flags & SigmaValue) != 0)
sample_offset.y=geometry_info.sigma/100.0-MagickEpsilon;
}
}
/*
Allocate scan line buffer and column offset buffers.
*/
x_offset=(ssize_t *) AcquireQuantumMemory((size_t) sample_image->columns,
sizeof(*x_offset));
if (x_offset == (ssize_t *) NULL)
{
sample_image=DestroyImage(sample_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
for (x1=0; x1 < (ssize_t) sample_image->columns; x1++)
x_offset[x1]=(ssize_t) ((((double) x1+sample_offset.x)*image->columns)/
sample_image->columns);
/*
Sample each row.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
sample_view=AcquireAuthenticCacheView(sample_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,sample_image,sample_image->rows,1)
#endif
for (y=0; y < (ssize_t) sample_image->rows; y++)
{
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
ssize_t
y_offset;
if (status == MagickFalse)
continue;
y_offset=(ssize_t) ((((double) y+sample_offset.y)*image->rows)/
sample_image->rows);
p=GetCacheViewVirtualPixels(image_view,0,y_offset,image->columns,1,
exception);
q=QueueCacheViewAuthenticPixels(sample_view,0,y,sample_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
/*
Sample each column.
*/
for (x=0; x < (ssize_t) sample_image->columns; x++)
{
ssize_t
i;
if (GetPixelWriteMask(sample_image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(sample_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(sample_image); i++)
{
PixelChannel
channel;
PixelTrait
image_traits,
traits;
channel=GetPixelChannelChannel(sample_image,i);
traits=GetPixelChannelTraits(sample_image,channel);
image_traits=GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
(image_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(sample_image,channel,p[x_offset[x]*GetPixelChannels(
image)+i],q);
}
q+=GetPixelChannels(sample_image);
}
if (SyncCacheViewAuthenticPixels(sample_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SampleImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
sample_view=DestroyCacheView(sample_view);
x_offset=(ssize_t *) RelinquishMagickMemory(x_offset);
sample_image->type=image->type;
if (status == MagickFalse)
sample_image=DestroyImage(sample_image);
return(sample_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S c a l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ScaleImage() changes the size of an image to the given dimensions.
%
% The format of the ScaleImage method is:
%
% Image *ScaleImage(const Image *image,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the scaled image.
%
% o rows: the number of rows in the scaled image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ScaleImage(const Image *image,const size_t columns,
const size_t rows,ExceptionInfo *exception)
{
#define ScaleImageTag "Scale/Image"
CacheView
*image_view,
*scale_view;
double
alpha,
pixel[CompositePixelChannel],
*scale_scanline,
*scanline,
*x_vector,
*y_vector;
Image
*scale_image;
MagickBooleanType
next_column,
next_row,
proceed,
status;
PixelTrait
scale_traits;
PointInfo
scale,
span;
ssize_t
i;
ssize_t
n,
number_rows,
y;
/*
Initialize scaled image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows))
return(CloneImage(image,0,0,MagickTrue,exception));
scale_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (scale_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(scale_image,DirectClass,exception) == MagickFalse)
{
scale_image=DestroyImage(scale_image);
return((Image *) NULL);
}
/*
Allocate memory.
*/
x_vector=(double *) AcquireQuantumMemory((size_t) image->columns,
MaxPixelChannels*sizeof(*x_vector));
scanline=x_vector;
if (image->rows != scale_image->rows)
scanline=(double *) AcquireQuantumMemory((size_t) image->columns,
MaxPixelChannels*sizeof(*scanline));
scale_scanline=(double *) AcquireQuantumMemory((size_t) scale_image->columns,
MaxPixelChannels*sizeof(*scale_scanline));
y_vector=(double *) AcquireQuantumMemory((size_t) image->columns,
MaxPixelChannels*sizeof(*y_vector));
if ((scanline == (double *) NULL) || (scale_scanline == (double *) NULL) ||
(x_vector == (double *) NULL) || (y_vector == (double *) NULL))
{
if ((image->rows != scale_image->rows) && (scanline != (double *) NULL))
scanline=(double *) RelinquishMagickMemory(scanline);
if (scale_scanline != (double *) NULL)
scale_scanline=(double *) RelinquishMagickMemory(scale_scanline);
if (x_vector != (double *) NULL)
x_vector=(double *) RelinquishMagickMemory(x_vector);
if (y_vector != (double *) NULL)
y_vector=(double *) RelinquishMagickMemory(y_vector);
scale_image=DestroyImage(scale_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Scale image.
*/
number_rows=0;
next_row=MagickTrue;
span.y=1.0;
scale.y=(double) scale_image->rows/(double) image->rows;
(void) memset(y_vector,0,(size_t) MaxPixelChannels*image->columns*
sizeof(*y_vector));
n=0;
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception);
scale_view=AcquireAuthenticCacheView(scale_image,exception);
for (y=0; y < (ssize_t) scale_image->rows; y++)
{
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
break;
q=QueueCacheViewAuthenticPixels(scale_view,0,y,scale_image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
break;
}
alpha=1.0;
if (scale_image->rows == image->rows)
{
/*
Read a new scanline.
*/
p=GetCacheViewVirtualPixels(image_view,0,n++,image->columns,1,
exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelWriteMask(image,p) <= (QuantumRange/2))
{
p+=GetPixelChannels(image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
alpha=QuantumScale*GetPixelAlpha(image,p);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & BlendPixelTrait) == 0)
{
x_vector[x*GetPixelChannels(image)+i]=(double) p[i];
continue;
}
x_vector[x*GetPixelChannels(image)+i]=alpha*p[i];
}
p+=GetPixelChannels(image);
}
}
else
{
/*
Scale Y direction.
*/
while (scale.y < span.y)
{
if ((next_row != MagickFalse) &&
(number_rows < (ssize_t) image->rows))
{
/*
Read a new scanline.
*/
p=GetCacheViewVirtualPixels(image_view,0,n++,image->columns,1,
exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelWriteMask(image,p) <= (QuantumRange/2))
{
p+=GetPixelChannels(image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
alpha=QuantumScale*GetPixelAlpha(image,p);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & BlendPixelTrait) == 0)
{
x_vector[x*GetPixelChannels(image)+i]=(double) p[i];
continue;
}
x_vector[x*GetPixelChannels(image)+i]=alpha*p[i];
}
p+=GetPixelChannels(image);
}
number_rows++;
}
for (x=0; x < (ssize_t) image->columns; x++)
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
y_vector[x*GetPixelChannels(image)+i]+=scale.y*
x_vector[x*GetPixelChannels(image)+i];
span.y-=scale.y;
scale.y=(double) scale_image->rows/(double) image->rows;
next_row=MagickTrue;
}
if ((next_row != MagickFalse) && (number_rows < (ssize_t) image->rows))
{
/*
Read a new scanline.
*/
p=GetCacheViewVirtualPixels(image_view,0,n++,image->columns,1,
exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelWriteMask(image,p) <= (QuantumRange/2))
{
p+=GetPixelChannels(image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
alpha=QuantumScale*GetPixelAlpha(image,p);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & BlendPixelTrait) == 0)
{
x_vector[x*GetPixelChannels(image)+i]=(double) p[i];
continue;
}
x_vector[x*GetPixelChannels(image)+i]=alpha*p[i];
}
p+=GetPixelChannels(image);
}
number_rows++;
next_row=MagickFalse;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
pixel[i]=y_vector[x*GetPixelChannels(image)+i]+span.y*
x_vector[x*GetPixelChannels(image)+i];
scanline[x*GetPixelChannels(image)+i]=pixel[i];
y_vector[x*GetPixelChannels(image)+i]=0.0;
}
}
scale.y-=span.y;
if (scale.y <= 0)
{
scale.y=(double) scale_image->rows/(double) image->rows;
next_row=MagickTrue;
}
span.y=1.0;
}
if (scale_image->columns == image->columns)
{
/*
Transfer scanline to scaled image.
*/
for (x=0; x < (ssize_t) scale_image->columns; x++)
{
if (GetPixelWriteMask(scale_image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(scale_image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
{
alpha=QuantumScale*scanline[x*GetPixelChannels(image)+
GetPixelChannelOffset(image,AlphaPixelChannel)];
alpha=PerceptibleReciprocal(alpha);
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
scale_traits=GetPixelChannelTraits(scale_image,channel);
if ((traits == UndefinedPixelTrait) ||
(scale_traits == UndefinedPixelTrait))
continue;
if ((traits & BlendPixelTrait) == 0)
{
SetPixelChannel(scale_image,channel,ClampToQuantum(
scanline[x*GetPixelChannels(image)+i]),q);
continue;
}
SetPixelChannel(scale_image,channel,ClampToQuantum(alpha*scanline[
x*GetPixelChannels(image)+i]),q);
}
q+=GetPixelChannels(scale_image);
}
}
else
{
ssize_t
t;
/*
Scale X direction.
*/
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]=0.0;
next_column=MagickFalse;
span.x=1.0;
t=0;
for (x=0; x < (ssize_t) image->columns; x++)
{
scale.x=(double) scale_image->columns/(double) image->columns;
while (scale.x >= span.x)
{
if (next_column != MagickFalse)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]=0.0;
t++;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
pixel[i]+=span.x*scanline[x*GetPixelChannels(image)+i];
scale_scanline[t*GetPixelChannels(image)+i]=pixel[i];
}
scale.x-=span.x;
span.x=1.0;
next_column=MagickTrue;
}
if (scale.x > 0)
{
if (next_column != MagickFalse)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]=0.0;
next_column=MagickFalse;
t++;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]+=scale.x*scanline[x*GetPixelChannels(image)+i];
span.x-=scale.x;
}
}
if (span.x > 0)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]+=span.x*scanline[(x-1)*GetPixelChannels(image)+i];
}
if ((next_column == MagickFalse) && (t < (ssize_t) scale_image->columns))
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
scale_scanline[t*GetPixelChannels(image)+i]=pixel[i];
/*
Transfer scanline to scaled image.
*/
for (x=0; x < (ssize_t) scale_image->columns; x++)
{
if (GetPixelWriteMask(scale_image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(scale_image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
{
alpha=QuantumScale*scale_scanline[x*GetPixelChannels(image)+
GetPixelChannelOffset(image,AlphaPixelChannel)];
alpha=PerceptibleReciprocal(alpha);
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
scale_traits=GetPixelChannelTraits(scale_image,channel);
if ((traits == UndefinedPixelTrait) ||
(scale_traits == UndefinedPixelTrait))
continue;
if ((traits & BlendPixelTrait) == 0)
{
SetPixelChannel(scale_image,channel,ClampToQuantum(
scale_scanline[x*GetPixelChannels(image)+i]),q);
continue;
}
SetPixelChannel(scale_image,channel,ClampToQuantum(alpha*
scale_scanline[x*GetPixelChannels(image)+i]),q);
}
q+=GetPixelChannels(scale_image);
}
}
if (SyncCacheViewAuthenticPixels(scale_view,exception) == MagickFalse)
{
status=MagickFalse;
break;
}
proceed=SetImageProgress(image,ScaleImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
{
status=MagickFalse;
break;
}
}
scale_view=DestroyCacheView(scale_view);
image_view=DestroyCacheView(image_view);
/*
Free allocated memory.
*/
y_vector=(double *) RelinquishMagickMemory(y_vector);
scale_scanline=(double *) RelinquishMagickMemory(scale_scanline);
if (scale_image->rows != image->rows)
scanline=(double *) RelinquishMagickMemory(scanline);
x_vector=(double *) RelinquishMagickMemory(x_vector);
scale_image->type=image->type;
if (status == MagickFalse)
scale_image=DestroyImage(scale_image);
return(scale_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T h u m b n a i l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ThumbnailImage() changes the size of an image to the given dimensions and
% removes any associated profiles. The goal is to produce small low cost
% thumbnail images suited for display on the Web.
%
% The format of the ThumbnailImage method is:
%
% Image *ThumbnailImage(const Image *image,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the scaled image.
%
% o rows: the number of rows in the scaled image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ThumbnailImage(const Image *image,const size_t columns,
const size_t rows,ExceptionInfo *exception)
{
#define SampleFactor 5
char
filename[MagickPathExtent],
value[MagickPathExtent];
const char
*name;
Image
*thumbnail_image;
double
x_factor,
y_factor;
struct stat
attributes;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
x_factor=(double) columns/(double) image->columns;
y_factor=(double) rows/(double) image->rows;
if ((x_factor*y_factor) > 0.1)
thumbnail_image=ResizeImage(image,columns,rows,image->filter,exception);
else
if (((SampleFactor*columns) < 128) || ((SampleFactor*rows) < 128))
thumbnail_image=ResizeImage(image,columns,rows,image->filter,exception);
else
{
Image
*sample_image;
sample_image=SampleImage(image,SampleFactor*columns,SampleFactor*rows,
exception);
if (sample_image == (Image *) NULL)
return((Image *) NULL);
thumbnail_image=ResizeImage(sample_image,columns,rows,image->filter,
exception);
sample_image=DestroyImage(sample_image);
}
if (thumbnail_image == (Image *) NULL)
return(thumbnail_image);
(void) ParseAbsoluteGeometry("0x0+0+0",&thumbnail_image->page);
if (thumbnail_image->alpha_trait == UndefinedPixelTrait)
(void) SetImageAlphaChannel(thumbnail_image,OpaqueAlphaChannel,exception);
thumbnail_image->depth=8;
thumbnail_image->interlace=NoInterlace;
/*
Strip all profiles except color profiles.
*/
ResetImageProfileIterator(thumbnail_image);
for (name=GetNextImageProfile(thumbnail_image); name != (const char *) NULL; )
{
if ((LocaleCompare(name,"icc") != 0) && (LocaleCompare(name,"icm") != 0))
{
(void) DeleteImageProfile(thumbnail_image,name);
ResetImageProfileIterator(thumbnail_image);
}
name=GetNextImageProfile(thumbnail_image);
}
(void) DeleteImageProperty(thumbnail_image,"comment");
(void) CopyMagickString(value,image->magick_filename,MagickPathExtent);
if (strstr(image->magick_filename,"//") == (char *) NULL)
(void) FormatLocaleString(value,MagickPathExtent,"file://%s",
image->magick_filename);
(void) SetImageProperty(thumbnail_image,"Thumb::URI",value,exception);
GetPathComponent(image->magick_filename,TailPath,filename);
(void) CopyMagickString(value,filename,MagickPathExtent);
if ( GetPathAttributes(image->filename,&attributes) != MagickFalse )
(void) FormatImageProperty(thumbnail_image,"Thumb::MTime","%.20g",(double)
attributes.st_mtime);
(void) FormatLocaleString(value,MagickPathExtent,"%.20g",(double)
attributes.st_mtime);
(void) FormatMagickSize(GetBlobSize(image),MagickFalse,"B",MagickPathExtent,
value);
(void) SetImageProperty(thumbnail_image,"Thumb::Size",value,exception);
(void) FormatLocaleString(value,MagickPathExtent,"image/%s",image->magick);
LocaleLower(value);
(void) SetImageProperty(thumbnail_image,"Thumb::Mimetype",value,exception);
(void) SetImageProperty(thumbnail_image,"software",MagickAuthoritativeURL,
exception);
(void) FormatImageProperty(thumbnail_image,"Thumb::Image::Width","%.20g",
(double) image->magick_columns);
(void) FormatImageProperty(thumbnail_image,"Thumb::Image::Height","%.20g",
(double) image->magick_rows);
(void) FormatImageProperty(thumbnail_image,"Thumb::Document::Pages","%.20g",
(double) GetImageListLength(image));
return(thumbnail_image);
}
|
GB_unaryop_transpose.c | //------------------------------------------------------------------------------
// GB_unaryop_transpose: C=op(cast(A')), transpose, typecast, and apply op
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// This method is parallel, but not highly scalable. It uses only naslice =
// nnz(A)/(A->vlen) threads. Each thread requires O(vlen) workspace.
{
// Ax unused for some uses of this template
#include "GB_unused.h"
//--------------------------------------------------------------------------
// get A and C
//--------------------------------------------------------------------------
const int64_t *restrict Ai = A->i ;
#if defined ( GB_PHASE_2_OF_2 )
const GB_ATYPE *restrict Ax = A->x ;
// int64_t *restrict Cp = C->p ;
int64_t *restrict Ci = C->i ;
GB_CTYPE *restrict Cx = C->x ;
#endif
//--------------------------------------------------------------------------
// C = op (cast (A'))
//--------------------------------------------------------------------------
#pragma omp parallel for num_threads(naslice) schedule(static)
for (int taskid = 0 ; taskid < naslice ; taskid++)
{
// get the rowcount for this slice, of size A->vlen
int64_t *restrict rowcount = Rowcounts [taskid] ;
for (int64_t Iter_k = A_slice [taskid] ;
Iter_k < A_slice [taskid+1] ;
Iter_k++)
{
GBI_jth_iteration_with_iter (Iter, j, pA, pA_end) ;
for ( ; pA < pA_end ; pA++)
{
#if defined ( GB_PHASE_1_OF_2)
// count one more entry in C(i,:) for this slice
rowcount [Ai [pA]]++ ;
#else
// insert the entry into C(i,:) for this slice
int64_t pC = rowcount [Ai [pA]]++ ;
Ci [pC] = j ;
// Cx [pC] = op (cast (Ax [pA]))
GB_CAST_OP (pC, pA) ;
#endif
}
}
}
}
|
GB_unop__lnot_uint64_uint64.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__lnot_uint64_uint64
// op(A') function: GB_unop_tran__lnot_uint64_uint64
// C type: uint64_t
// A type: uint64_t
// cast: uint64_t cij = aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
uint64_t
#define GB_CTYPE \
uint64_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_CAST(z, aij) \
uint64_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
uint64_t z = aij ; \
Cx [pC] = !(z != 0) ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
0
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LNOT || GxB_NO_UINT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__lnot_uint64_uint64
(
uint64_t *Cx, // Cx and Ax may be aliased
const uint64_t *Ax,
const int8_t *GB_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)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (uint64_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
uint64_t aij = Ax [p] ;
uint64_t z = aij ;
Cx [p] = !(z != 0) ;
}
#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 ;
uint64_t aij = Ax [p] ;
uint64_t z = aij ;
Cx [p] = !(z != 0) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__lnot_uint64_uint64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_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
|
region_layer.c | #include "region_layer.h"
#include "activations.h"
#include "blas.h"
#include "box.h"
#include "dark_cuda.h"
#include "utils.h"
#include <stdio.h>
#include <assert.h>
#include <string.h>
#include <stdlib.h>
#define DOABS 1
region_layer make_region_layer(int batch, int w, int h, int n, int classes, int coords, int max_boxes)
{
region_layer l = { (LAYER_TYPE)0 };
l.type = REGION;
l.n = n;
l.batch = batch;
l.h = h;
l.w = w;
l.classes = classes;
l.coords = coords;
l.cost = (float*)xcalloc(1, sizeof(float));
l.biases = (float*)xcalloc(n * 2, sizeof(float));
l.bias_updates = (float*)xcalloc(n * 2, sizeof(float));
l.outputs = h*w*n*(classes + coords + 1);
l.inputs = l.outputs;
l.max_boxes = max_boxes;
l.truths = max_boxes*(5);
l.delta = (float*)xcalloc(batch * l.outputs, sizeof(float));
l.output = (float*)xcalloc(batch * l.outputs, sizeof(float));
int i;
for(i = 0; i < n*2; ++i){
l.biases[i] = .5;
}
l.forward = forward_region_layer;
l.backward = backward_region_layer;
#ifdef GPU
l.forward_gpu = forward_region_layer_gpu;
l.backward_gpu = backward_region_layer_gpu;
l.output_gpu = cuda_make_array(l.output, batch*l.outputs);
l.delta_gpu = cuda_make_array(l.delta, batch*l.outputs);
#endif
fprintf(stderr, "detection\n");
srand(time(0));
return l;
}
void resize_region_layer(layer *l, int w, int h)
{
#ifdef GPU
int old_w = l->w;
int old_h = l->h;
#endif
l->w = w;
l->h = h;
l->outputs = h*w*l->n*(l->classes + l->coords + 1);
l->inputs = l->outputs;
l->output = (float*)xrealloc(l->output, l->batch * l->outputs * sizeof(float));
l->delta = (float*)xrealloc(l->delta, l->batch * l->outputs * sizeof(float));
#ifdef GPU
//if (old_w < w || old_h < h)
{
cuda_free(l->delta_gpu);
cuda_free(l->output_gpu);
l->delta_gpu = cuda_make_array(l->delta, l->batch*l->outputs);
l->output_gpu = cuda_make_array(l->output, l->batch*l->outputs);
}
#endif
}
box get_region_box(float *x, float *biases, int n, int index, int i, int j, int w, int h)
{
box b;
b.x = (i + logistic_activate(x[index + 0])) / w;
b.y = (j + logistic_activate(x[index + 1])) / h;
b.w = exp(x[index + 2]) * biases[2*n];
b.h = exp(x[index + 3]) * biases[2*n+1];
if(DOABS){
b.w = exp(x[index + 2]) * biases[2*n] / w;
b.h = exp(x[index + 3]) * biases[2*n+1] / h;
}
return b;
}
float delta_region_box(box truth, float *x, float *biases, int n, int index, int i, int j, int w, int h, float *delta, float scale)
{
box pred = get_region_box(x, biases, n, index, i, j, w, h);
float iou = box_iou(pred, truth);
float tx = (truth.x*w - i);
float ty = (truth.y*h - j);
float tw = log(truth.w / biases[2*n]);
float th = log(truth.h / biases[2*n + 1]);
if(DOABS){
tw = log(truth.w*w / biases[2*n]);
th = log(truth.h*h / biases[2*n + 1]);
}
delta[index + 0] = scale * (tx - logistic_activate(x[index + 0])) * logistic_gradient(logistic_activate(x[index + 0]));
delta[index + 1] = scale * (ty - logistic_activate(x[index + 1])) * logistic_gradient(logistic_activate(x[index + 1]));
delta[index + 2] = scale * (tw - x[index + 2]);
delta[index + 3] = scale * (th - x[index + 3]);
return iou;
}
void delta_region_class(float *output, float *delta, int index, int class_id, int classes, tree *hier, float scale, float *avg_cat, int focal_loss)
{
int i, n;
if(hier){
float pred = 1;
while(class_id >= 0){
pred *= output[index + class_id];
int g = hier->group[class_id];
int offset = hier->group_offset[g];
for(i = 0; i < hier->group_size[g]; ++i){
delta[index + offset + i] = scale * (0 - output[index + offset + i]);
}
delta[index + class_id] = scale * (1 - output[index + class_id]);
class_id = hier->parent[class_id];
}
*avg_cat += pred;
} else {
// Focal loss
if (focal_loss) {
// Focal Loss
float alpha = 0.5; // 0.25 or 0.5
//float gamma = 2; // hardcoded in many places of the grad-formula
int ti = index + class_id;
float pt = output[ti] + 0.000000000000001F;
// http://fooplot.com/#W3sidHlwZSI6MCwiZXEiOiItKDEteCkqKDIqeCpsb2coeCkreC0xKSIsImNvbG9yIjoiIzAwMDAwMCJ9LHsidHlwZSI6MTAwMH1d
float grad = -(1 - pt) * (2 * pt*logf(pt) + pt - 1); // http://blog.csdn.net/linmingan/article/details/77885832
//float grad = (1 - pt) * (2 * pt*logf(pt) + pt - 1); // https://github.com/unsky/focal-loss
for (n = 0; n < classes; ++n) {
delta[index + n] = scale * (((n == class_id) ? 1 : 0) - output[index + n]);
delta[index + n] *= alpha*grad;
if (n == class_id) *avg_cat += output[index + n];
}
}
else {
// default
for (n = 0; n < classes; ++n) {
delta[index + n] = scale * (((n == class_id) ? 1 : 0) - output[index + n]);
if (n == class_id) *avg_cat += output[index + n];
}
}
}
}
float logit(float x)
{
return log(x/(1.-x));
}
float tisnan(float x)
{
return (x != x);
}
static int entry_index(layer l, int batch, int location, int entry)
{
int n = location / (l.w*l.h);
int loc = location % (l.w*l.h);
return batch*l.outputs + n*l.w*l.h*(l.coords + l.classes + 1) + entry*l.w*l.h + loc;
}
void softmax_tree(float *input, int batch, int inputs, float temp, tree *hierarchy, float *output);
void forward_region_layer(const region_layer l, network_state state)
{
int i,j,b,t,n;
int size = l.coords + l.classes + 1;
memcpy(l.output, state.input, l.outputs*l.batch*sizeof(float));
#ifndef GPU
flatten(l.output, l.w*l.h, size*l.n, l.batch, 1);
#endif
for (b = 0; b < l.batch; ++b){
for(i = 0; i < l.h*l.w*l.n; ++i){
int index = size*i + b*l.outputs;
l.output[index + 4] = logistic_activate(l.output[index + 4]);
}
}
#ifndef GPU
if (l.softmax_tree){
for (b = 0; b < l.batch; ++b){
for(i = 0; i < l.h*l.w*l.n; ++i){
int index = size*i + b*l.outputs;
softmax_tree(l.output + index + 5, 1, 0, 1, l.softmax_tree, l.output + index + 5);
}
}
} else if (l.softmax){
for (b = 0; b < l.batch; ++b){
for(i = 0; i < l.h*l.w*l.n; ++i){
int index = size*i + b*l.outputs;
softmax(l.output + index + 5, l.classes, 1, l.output + index + 5, 1);
}
}
}
#endif
if(!state.train) return;
memset(l.delta, 0, l.outputs * l.batch * sizeof(float));
float avg_iou = 0;
float recall = 0;
float avg_cat = 0;
float avg_obj = 0;
float avg_anyobj = 0;
int count = 0;
int class_count = 0;
*(l.cost) = 0;
for (b = 0; b < l.batch; ++b) {
if(l.softmax_tree){
int onlyclass_id = 0;
for(t = 0; t < l.max_boxes; ++t){
box truth = float_to_box(state.truth + t*5 + b*l.truths);
if(!truth.x) break; // continue;
int class_id = state.truth[t*5 + b*l.truths + 4];
float maxp = 0;
int maxi = 0;
if(truth.x > 100000 && truth.y > 100000){
for(n = 0; n < l.n*l.w*l.h; ++n){
int index = size*n + b*l.outputs + 5;
float scale = l.output[index-1];
float p = scale*get_hierarchy_probability(l.output + index, l.softmax_tree, class_id);
if(p > maxp){
maxp = p;
maxi = n;
}
}
int index = size*maxi + b*l.outputs + 5;
delta_region_class(l.output, l.delta, index, class_id, l.classes, l.softmax_tree, l.class_scale, &avg_cat, l.focal_loss);
++class_count;
onlyclass_id = 1;
break;
}
}
if(onlyclass_id) continue;
}
for (j = 0; j < l.h; ++j) {
for (i = 0; i < l.w; ++i) {
for (n = 0; n < l.n; ++n) {
int index = size*(j*l.w*l.n + i*l.n + n) + b*l.outputs;
box pred = get_region_box(l.output, l.biases, n, index, i, j, l.w, l.h);
float best_iou = 0;
int best_class_id = -1;
for(t = 0; t < l.max_boxes; ++t){
box truth = float_to_box(state.truth + t*5 + b*l.truths);
int class_id = state.truth[t * 5 + b*l.truths + 4];
if (class_id >= l.classes) continue; // if label contains class_id more than number of classes in the cfg-file
if(!truth.x) break; // continue;
float iou = box_iou(pred, truth);
if (iou > best_iou) {
best_class_id = state.truth[t*5 + b*l.truths + 4];
best_iou = iou;
}
}
avg_anyobj += l.output[index + 4];
l.delta[index + 4] = l.noobject_scale * ((0 - l.output[index + 4]) * logistic_gradient(l.output[index + 4]));
if(l.classfix == -1) l.delta[index + 4] = l.noobject_scale * ((best_iou - l.output[index + 4]) * logistic_gradient(l.output[index + 4]));
else{
if (best_iou > l.thresh) {
l.delta[index + 4] = 0;
if(l.classfix > 0){
delta_region_class(l.output, l.delta, index + 5, best_class_id, l.classes, l.softmax_tree, l.class_scale*(l.classfix == 2 ? l.output[index + 4] : 1), &avg_cat, l.focal_loss);
++class_count;
}
}
}
if(*(state.net.seen) < 12800){
box truth = {0};
truth.x = (i + .5)/l.w;
truth.y = (j + .5)/l.h;
truth.w = l.biases[2*n];
truth.h = l.biases[2*n+1];
if(DOABS){
truth.w = l.biases[2*n]/l.w;
truth.h = l.biases[2*n+1]/l.h;
}
delta_region_box(truth, l.output, l.biases, n, index, i, j, l.w, l.h, l.delta, .01);
}
}
}
}
for(t = 0; t < l.max_boxes; ++t){
box truth = float_to_box(state.truth + t*5 + b*l.truths);
int class_id = state.truth[t * 5 + b*l.truths + 4];
if (class_id >= l.classes) {
printf("\n Warning: in txt-labels class_id=%d >= classes=%d in cfg-file. In txt-labels class_id should be [from 0 to %d] \n", class_id, l.classes, l.classes-1);
getchar();
continue; // if label contains class_id more than number of classes in the cfg-file
}
if(!truth.x) break; // continue;
float best_iou = 0;
int best_index = 0;
int best_n = 0;
i = (truth.x * l.w);
j = (truth.y * l.h);
//printf("%d %f %d %f\n", i, truth.x*l.w, j, truth.y*l.h);
box truth_shift = truth;
truth_shift.x = 0;
truth_shift.y = 0;
//printf("index %d %d\n",i, j);
for(n = 0; n < l.n; ++n){
int index = size*(j*l.w*l.n + i*l.n + n) + b*l.outputs;
box pred = get_region_box(l.output, l.biases, n, index, i, j, l.w, l.h);
if(l.bias_match){
pred.w = l.biases[2*n];
pred.h = l.biases[2*n+1];
if(DOABS){
pred.w = l.biases[2*n]/l.w;
pred.h = l.biases[2*n+1]/l.h;
}
}
//printf("pred: (%f, %f) %f x %f\n", pred.x, pred.y, pred.w, pred.h);
pred.x = 0;
pred.y = 0;
float iou = box_iou(pred, truth_shift);
if (iou > best_iou){
best_index = index;
best_iou = iou;
best_n = n;
}
}
//printf("%d %f (%f, %f) %f x %f\n", best_n, best_iou, truth.x, truth.y, truth.w, truth.h);
float iou = delta_region_box(truth, l.output, l.biases, best_n, best_index, i, j, l.w, l.h, l.delta, l.coord_scale);
if(iou > .5) recall += 1;
avg_iou += iou;
//l.delta[best_index + 4] = iou - l.output[best_index + 4];
avg_obj += l.output[best_index + 4];
l.delta[best_index + 4] = l.object_scale * (1 - l.output[best_index + 4]) * logistic_gradient(l.output[best_index + 4]);
if (l.rescore) {
l.delta[best_index + 4] = l.object_scale * (iou - l.output[best_index + 4]) * logistic_gradient(l.output[best_index + 4]);
}
if (l.map) class_id = l.map[class_id];
delta_region_class(l.output, l.delta, best_index + 5, class_id, l.classes, l.softmax_tree, l.class_scale, &avg_cat, l.focal_loss);
++count;
++class_count;
}
}
//printf("\n");
#ifndef GPU
flatten(l.delta, l.w*l.h, size*l.n, l.batch, 0);
#endif
*(l.cost) = pow(mag_array(l.delta, l.outputs * l.batch), 2);
printf("Region Avg IOU: %f, Class: %f, Obj: %f, No Obj: %f, Avg Recall: %f, count: %d\n", avg_iou/count, avg_cat/class_count, avg_obj/count, avg_anyobj/(l.w*l.h*l.n*l.batch), recall/count, count);
}
void backward_region_layer(const region_layer l, network_state state)
{
axpy_cpu(l.batch*l.inputs, 1, l.delta, 1, state.delta, 1);
}
void get_region_boxes(layer l, int w, int h, float thresh, float **probs, box *boxes, int only_objectness, int *map)
{
int i;
float *const predictions = l.output;
#pragma omp parallel for
for (i = 0; i < l.w*l.h; ++i){
int j, n;
int row = i / l.w;
int col = i % l.w;
for(n = 0; n < l.n; ++n){
int index = i*l.n + n;
int p_index = index * (l.classes + 5) + 4;
float scale = predictions[p_index];
if(l.classfix == -1 && scale < .5) scale = 0;
int box_index = index * (l.classes + 5);
boxes[index] = get_region_box(predictions, l.biases, n, box_index, col, row, l.w, l.h);
boxes[index].x *= w;
boxes[index].y *= h;
boxes[index].w *= w;
boxes[index].h *= h;
int class_index = index * (l.classes + 5) + 5;
if(l.softmax_tree){
hierarchy_predictions(predictions + class_index, l.classes, l.softmax_tree, 0);
int found = 0;
if(map){
for(j = 0; j < 200; ++j){
float prob = scale*predictions[class_index+map[j]];
probs[index][j] = (prob > thresh) ? prob : 0;
}
} else {
for(j = l.classes - 1; j >= 0; --j){
if(!found && predictions[class_index + j] > .5){
found = 1;
} else {
predictions[class_index + j] = 0;
}
float prob = predictions[class_index+j];
probs[index][j] = (scale > thresh) ? prob : 0;
}
}
} else {
for(j = 0; j < l.classes; ++j){
float prob = scale*predictions[class_index+j];
probs[index][j] = (prob > thresh) ? prob : 0;
}
}
if(only_objectness){
probs[index][0] = scale;
}
}
}
}
#ifdef GPU
void forward_region_layer_gpu(const region_layer l, network_state state)
{
/*
if(!state.train){
copy_ongpu(l.batch*l.inputs, state.input, 1, l.output_gpu, 1);
return;
}
*/
flatten_ongpu(state.input, l.h*l.w, l.n*(l.coords + l.classes + 1), l.batch, 1, l.output_gpu);
if(l.softmax_tree){
int i;
int count = 5;
for (i = 0; i < l.softmax_tree->groups; ++i) {
int group_size = l.softmax_tree->group_size[i];
softmax_gpu(l.output_gpu+count, group_size, l.classes + 5, l.w*l.h*l.n*l.batch, 1, l.output_gpu + count);
count += group_size;
}
}else if (l.softmax){
softmax_gpu(l.output_gpu+5, l.classes, l.classes + 5, l.w*l.h*l.n*l.batch, 1, l.output_gpu + 5);
}
float* in_cpu = (float*)xcalloc(l.batch * l.inputs, sizeof(float));
float *truth_cpu = 0;
if(state.truth){
int num_truth = l.batch*l.truths;
truth_cpu = (float*)xcalloc(num_truth, sizeof(float));
cuda_pull_array(state.truth, truth_cpu, num_truth);
}
cuda_pull_array(l.output_gpu, in_cpu, l.batch*l.inputs);
//cudaStreamSynchronize(get_cuda_stream());
network_state cpu_state = state;
cpu_state.train = state.train;
cpu_state.truth = truth_cpu;
cpu_state.input = in_cpu;
forward_region_layer(l, cpu_state);
//cuda_push_array(l.output_gpu, l.output, l.batch*l.outputs);
free(cpu_state.input);
if(!state.train) return;
cuda_push_array(l.delta_gpu, l.delta, l.batch*l.outputs);
//cudaStreamSynchronize(get_cuda_stream());
if(cpu_state.truth) free(cpu_state.truth);
}
void backward_region_layer_gpu(region_layer l, network_state state)
{
flatten_ongpu(l.delta_gpu, l.h*l.w, l.n*(l.coords + l.classes + 1), l.batch, 0, state.delta);
}
#endif
void correct_region_boxes(detection *dets, int n, int w, int h, int netw, int neth, int relative)
{
int i;
int new_w = 0;
int new_h = 0;
if (((float)netw / w) < ((float)neth / h)) {
new_w = netw;
new_h = (h * netw) / w;
}
else {
new_h = neth;
new_w = (w * neth) / h;
}
for (i = 0; i < n; ++i) {
box b = dets[i].bbox;
b.x = (b.x - (netw - new_w) / 2. / netw) / ((float)new_w / netw);
b.y = (b.y - (neth - new_h) / 2. / neth) / ((float)new_h / neth);
b.w *= (float)netw / new_w;
b.h *= (float)neth / new_h;
if (!relative) {
b.x *= w;
b.w *= w;
b.y *= h;
b.h *= h;
}
dets[i].bbox = b;
}
}
void get_region_detections(layer l, int w, int h, int netw, int neth, float thresh, int *map, float tree_thresh, int relative, detection *dets)
{
int i, j, n, z;
float *predictions = l.output;
if (l.batch == 2) {
float *flip = l.output + l.outputs;
for (j = 0; j < l.h; ++j) {
for (i = 0; i < l.w / 2; ++i) {
for (n = 0; n < l.n; ++n) {
for (z = 0; z < l.classes + l.coords + 1; ++z) {
int i1 = z*l.w*l.h*l.n + n*l.w*l.h + j*l.w + i;
int i2 = z*l.w*l.h*l.n + n*l.w*l.h + j*l.w + (l.w - i - 1);
float swap = flip[i1];
flip[i1] = flip[i2];
flip[i2] = swap;
if (z == 0) {
flip[i1] = -flip[i1];
flip[i2] = -flip[i2];
}
}
}
}
}
for (i = 0; i < l.outputs; ++i) {
l.output[i] = (l.output[i] + flip[i]) / 2.;
}
}
for (i = 0; i < l.w*l.h; ++i) {
int row = i / l.w;
int col = i % l.w;
for (n = 0; n < l.n; ++n) {
int index = n*l.w*l.h + i;
for (j = 0; j < l.classes; ++j) {
dets[index].prob[j] = 0;
}
int obj_index = entry_index(l, 0, n*l.w*l.h + i, l.coords);
int box_index = entry_index(l, 0, n*l.w*l.h + i, 0);
int mask_index = entry_index(l, 0, n*l.w*l.h + i, 4);
float scale = l.background ? 1 : predictions[obj_index];
dets[index].bbox = get_region_box(predictions, l.biases, n, box_index, col, row, l.w, l.h);// , l.w*l.h);
dets[index].objectness = scale > thresh ? scale : 0;
if (dets[index].mask) {
for (j = 0; j < l.coords - 4; ++j) {
dets[index].mask[j] = l.output[mask_index + j*l.w*l.h];
}
}
int class_index = entry_index(l, 0, n*l.w*l.h + i, l.coords + !l.background);
if (l.softmax_tree) {
hierarchy_predictions(predictions + class_index, l.classes, l.softmax_tree, 0);// , l.w*l.h);
if (map) {
for (j = 0; j < 200; ++j) {
int class_index = entry_index(l, 0, n*l.w*l.h + i, l.coords + 1 + map[j]);
float prob = scale*predictions[class_index];
dets[index].prob[j] = (prob > thresh) ? prob : 0;
}
}
else {
int j = hierarchy_top_prediction(predictions + class_index, l.softmax_tree, tree_thresh, l.w*l.h);
dets[index].prob[j] = (scale > thresh) ? scale : 0;
}
}
else {
if (dets[index].objectness) {
for (j = 0; j < l.classes; ++j) {
int class_index = entry_index(l, 0, n*l.w*l.h + i, l.coords + 1 + j);
float prob = scale*predictions[class_index];
dets[index].prob[j] = (prob > thresh) ? prob : 0;
}
}
}
}
}
correct_region_boxes(dets, l.w*l.h*l.n, w, h, netw, neth, relative);
}
void zero_objectness(layer l)
{
int i, n;
for (i = 0; i < l.w*l.h; ++i) {
for (n = 0; n < l.n; ++n) {
int obj_index = entry_index(l, 0, n*l.w*l.h + i, l.coords);
l.output[obj_index] = 0;
}
}
}
|
GB_unaryop__lnot_int16_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_int16_int16
// op(A') function: GB_tran__lnot_int16_int16
// C type: int16_t
// A type: int16_t
// cast: int16_t cij = (int16_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
int16_t
#define GB_CTYPE \
int16_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) \
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_LNOT || GxB_NO_INT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_int16_int16
(
int16_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_int16_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
|
nqueens.c | /**********************************************************************************************/
/* This program is part of the Barcelona OpenMP Tasks Suite */
/* Copyright (C) 2009 Barcelona Supercomputing Center - Centro Nacional de Supercomputacion */
/* Copyright (C) 2009 Universitat Politecnica de Catalunya */
/* */
/* This program 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 2 of the License, or */
/* (at your option) any later version. */
/* */
/* This program 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 this program; if not, write to the Free Software */
/* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA */
/**********************************************************************************************/
/*
* Original code from the Cilk project (by Keith Randall)
*
* Copyright (c) 2000 Massachusetts Institute of Technology
* Copyright (c) 2000 Matteo Frigo
*/
#include <stdlib.h>
#include <stdio.h>
#include <memory.h>
#include <alloca.h>
#include "bots.h"
#include <omp.h>
/* Checking information */
static int solutions[] = {
1,
0,
0,
2,
10, /* 5 */
4,
40,
92,
352,
724, /* 10 */
2680,
14200,
73712,
365596,
};
#define MAX_SOLUTIONS sizeof(solutions)/sizeof(int)
int mycount=0;
#pragma omp threadprivate(mycount)
int total_count;
/*
* <a> contains array of <n> queen positions. Returns 1
* if none of the queens conflict, and returns 0 otherwise.
*/
int ok(int n, char *a)
{
int i, j;
char p, q;
for (i = 0; i < n; i++) {
p = a[i];
for (j = i + 1; j < n; j++) {
q = a[j];
if (q == p || q == p - (j - i) || q == p + (j - i))
return 0;
}
}
return 1;
}
void nqueens_ser (int n, int j, char *a, int *solutions)
{
int i,res;
if (n == j) {
/* good solution, count it */
#ifndef FORCE_TIED_TASKS
*solutions = 1;
#else
mycount++;
#endif
return;
}
#ifndef FORCE_TIED_TASKS
*solutions = 0;
#endif
/* try each possible position for queen <j> */
for (i = 0; i < n; i++) {
{
/* allocate a temporary array and copy <a> into it */
a[j] = i;
if (ok(j + 1, a)) {
nqueens_ser(n, j + 1, a,&res);
#ifndef FORCE_TIED_TASKS
*solutions += res;
#endif
}
}
}
}
#if defined(IF_CUTOFF)
void nqueens(int n, int j, char *a, int *solutions, int depth)
{
int i;
int *csols;
if (n == j) {
/* good solution, count it */
#ifndef FORCE_TIED_TASKS
*solutions = 1;
#else
mycount++;
#endif
return;
}
#ifndef FORCE_TIED_TASKS
*solutions = 0;
csols = alloca(n*sizeof(int));
memset(csols,0,n*sizeof(int));
#endif
/* try each possible position for queen <j> */
for (i = 0; i < n; i++) {
#pragma omp task untied if(depth < bots_cutoff_value)
{
/* allocate a temporary array and copy <a> into it */
char * b = alloca((j + 1) * sizeof(char));
memcpy(b, a, j * sizeof(char));
b[j] = i;
if (ok(j + 1, b))
nqueens(n, j + 1, b,&csols[i],depth+1);
}
}
#pragma omp taskwait
#ifndef FORCE_TIED_TASKS
for ( i = 0; i < n; i++) *solutions += csols[i];
#endif
}
#elif defined(FINAL_CUTOFF)
void nqueens(int n, int j, char *a, int *solutions, int depth)
{
int i;
int *csols;
if (n == j) {
/* good solution, count it */
#ifndef FORCE_TIED_TASKS
*solutions += 1;
#else
mycount++;
#endif
return;
}
#ifndef FORCE_TIED_TASKS
char final = omp_in_final();
if ( !final ) {
*solutions = 0;
csols = alloca(n*sizeof(int));
memset(csols,0,n*sizeof(int));
}
#endif
/* try each possible position for queen <j> */
for (i = 0; i < n; i++) {
#pragma omp task untied final(depth+1 >= bots_cutoff_value)
{
char *b;
int *sol;
if ( omp_in_final() && depth+1 > bots_cutoff_value ) {
b = a;
sol = solutions;
} else {
/* allocate a temporary array and copy <a> into it */
b = alloca((j + 1) * sizeof(char));
memcpy(b, a, j * sizeof(char));
sol = &csols[i];
}
b[j] = i;
if (ok(j + 1, b))
nqueens(n, j + 1, b,sol,depth+1);
}
}
#pragma omp taskwait
#ifndef FORCE_TIED_TASKS
if ( !final ) {
for ( i = 0; i < n; i++) *solutions += csols[i];
}
#endif
}
#elif defined(MANUAL_CUTOFF)
void nqueens(int n, int j, char *a, int *solutions, int depth)
{
int i;
int *csols;
if (n == j) {
/* good solution, count it */
#ifndef FORCE_TIED_TASKS
*solutions = 1;
#else
mycount++;
#endif
return;
}
#ifndef FORCE_TIED_TASKS
*solutions = 0;
csols = alloca(n*sizeof(int));
memset(csols,0,n*sizeof(int));
#endif
/* try each possible position for queen <j> */
for (i = 0; i < n; i++) {
if ( depth < bots_cutoff_value ) {
#pragma omp task untied
{
/* allocate a temporary array and copy <a> into it */
char * b = alloca((j + 1) * sizeof(char));
memcpy(b, a, j * sizeof(char));
b[j] = i;
if (ok(j + 1, b))
nqueens(n, j + 1, b,&csols[i],depth+1);
}
} else {
a[j] = i;
if (ok(j + 1, a))
nqueens_ser(n, j + 1, a,&csols[i]);
}
}
#pragma omp taskwait
#ifndef FORCE_TIED_TASKS
for ( i = 0; i < n; i++) *solutions += csols[i];
#endif
}
#else
void nqueens(int n, int j, char *a, int *solutions, int depth)
{
int i;
int *csols;
if (n == j) {
/* good solution, count it */
#ifndef FORCE_TIED_TASKS
*solutions = 1;
#else
mycount++;
#endif
return;
}
#ifndef FORCE_TIED_TASKS
*solutions = 0;
csols = alloca(n*sizeof(int));
memset(csols,0,n*sizeof(int));
#endif
/* try each possible position for queen <j> */
for (i = 0; i < n; i++) {
#pragma omp task untied
{
/* allocate a temporary array and copy <a> into it */
char * b = alloca((j + 1) * sizeof(char));
memcpy(b, a, j * sizeof(char));
b[j] = i;
if (ok(j + 1, b))
nqueens(n, j + 1, b,&csols[i],depth);
}
}
#pragma omp taskwait
#ifndef FORCE_TIED_TASKS
for ( i = 0; i < n; i++) *solutions += csols[i];
#endif
}
#endif
void find_queens (int size)
{
total_count=0;
bots_message("Computing N-Queens algorithm (n=%d) ", size);
#pragma omp parallel
{
#pragma omp single
{
char *a;
a = alloca(size * sizeof(char));
nqueens(size, 0, a, &total_count,0);
}
#ifdef FORCE_TIED_TASKS
#pragma omp atomic
total_count += mycount;
#endif
}
bots_message(" completed!\n");
}
int verify_queens (int size)
{
if ( size > MAX_SOLUTIONS ) return BOTS_RESULT_NA;
if ( total_count == solutions[size-1]) return BOTS_RESULT_SUCCESSFUL;
return BOTS_RESULT_UNSUCCESSFUL;
}
|
GB_binop__lxor_int8.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__lxor_int8)
// A.*B function (eWiseMult): GB (_AemultB_08__lxor_int8)
// A.*B function (eWiseMult): GB (_AemultB_02__lxor_int8)
// A.*B function (eWiseMult): GB (_AemultB_04__lxor_int8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__lxor_int8)
// A*D function (colscale): GB (_AxD__lxor_int8)
// D*A function (rowscale): GB (_DxB__lxor_int8)
// C+=B function (dense accum): GB (_Cdense_accumB__lxor_int8)
// C+=b function (dense accum): GB (_Cdense_accumb__lxor_int8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__lxor_int8)
// C=scalar+B GB (_bind1st__lxor_int8)
// C=scalar+B' GB (_bind1st_tran__lxor_int8)
// C=A+scalar GB (_bind2nd__lxor_int8)
// C=A'+scalar GB (_bind2nd_tran__lxor_int8)
// C type: int8_t
// A type: int8_t
// A pattern? 0
// B type: int8_t
// B pattern? 0
// BinaryOp: cij = ((aij != 0) != (bij != 0))
#define GB_ATYPE \
int8_t
#define GB_BTYPE \
int8_t
#define GB_CTYPE \
int8_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) \
int8_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) \
int8_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) \
int8_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 = ((x != 0) != (y != 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_LXOR || GxB_NO_INT8 || GxB_NO_LXOR_INT8)
//------------------------------------------------------------------------------
// 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__lxor_int8)
(
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__lxor_int8)
(
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__lxor_int8)
(
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 int8_t
int8_t bwork = (*((int8_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__lxor_int8)
(
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
int8_t *restrict Cx = (int8_t *) 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__lxor_int8)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *restrict Cx = (int8_t *) 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__lxor_int8)
(
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) ;
int8_t alpha_scalar ;
int8_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int8_t *) alpha_scalar_in)) ;
beta_scalar = (*((int8_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__lxor_int8)
(
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__lxor_int8)
(
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__lxor_int8)
(
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__lxor_int8)
(
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__lxor_int8)
(
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
int8_t *Cx = (int8_t *) Cx_output ;
int8_t x = (*((int8_t *) x_input)) ;
int8_t *Bx = (int8_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 ;
int8_t bij = GBX (Bx, p, false) ;
Cx [p] = ((x != 0) != (bij != 0)) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__lxor_int8)
(
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 ;
int8_t *Cx = (int8_t *) Cx_output ;
int8_t *Ax = (int8_t *) Ax_input ;
int8_t y = (*((int8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int8_t aij = GBX (Ax, p, false) ;
Cx [p] = ((aij != 0) != (y != 0)) ;
}
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) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = ((x != 0) != (aij != 0)) ; \
}
GrB_Info GB (_bind1st_tran__lxor_int8)
(
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 \
int8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t x = (*((const int8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int8_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) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = ((aij != 0) != (y != 0)) ; \
}
GrB_Info GB (_bind2nd_tran__lxor_int8)
(
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
int8_t y = (*((const int8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
hoImageRegDeformationField.h | /** \file hoImageRegDeformationField.h
\brief Define the geometry transformation using deformation filed
\author Hui Xue
*/
#ifndef hoImageRegDeformationField_H_
#define hoImageRegDeformationField_H_
#pragma once
#include "hoImageRegNonParametricTransformation.h"
namespace Gadgetron {
/// deformation field is defined as hoNDImage
/// the deformation field can be accessed on image pixels
/// if the non-integer image pixels are used to access deformaiton field, an image interpolator is used
/// linear interpolator is used for deformation field
/// the unit of stored deformation field is in pixel, not in world coordinates
template<typename ValueType, unsigned int D>
class hoImageRegDeformationField: public hoImageRegNonParametricTransformation<ValueType, D, D>
{
public:
typedef hoImageRegTransformation<ValueType, D, D> Self;
typedef hoImageRegNonParametricTransformation<ValueType, D, D> BaseClass;
typedef ValueType T;
typedef typename BaseClass::input_point_type input_point_type;
typedef typename BaseClass::output_point_type output_point_type;
typedef typename BaseClass::jacobian_position_type jacobian_position_type;
typedef hoNDImage<T, D> DeformationFieldType;
typedef typename DeformationFieldType::coord_type coord_type;
typedef typename DeformationFieldType::axis_type axis_type;
typedef hoNDBoundaryHandler<DeformationFieldType> BoundHanlderType;
typedef hoNDInterpolator<DeformationFieldType> InterpolatorType;
typedef hoNDInterpolatorLinear<DeformationFieldType> DefaultInterpolatorType;
typedef hoNDBoundaryHandlerBorderValue<DeformationFieldType> DefaultBoundHanlderType;
hoImageRegDeformationField();
hoImageRegDeformationField(const std::vector<size_t>& dimensions);
hoImageRegDeformationField(const std::vector<size_t>& dimensions, const std::vector<coord_type>& pixelSize, const std::vector<coord_type>& origin, const axis_type& axis);
hoImageRegDeformationField(const hoNDImage<ValueType, D>& im);
virtual ~hoImageRegDeformationField();
virtual bool invertTransformation();
virtual bool setIdentity();
/// update the internal status after the deformation fields are changed
virtual bool update();
/// transform a point
/// the point is in the non-integer image pixel indexes
/// image interpolator is used
virtual bool transform(const T* pt_in, T* pt_out) const;
virtual bool transform(const T& xi, const T& yi, T& xo, T& yo) const;
virtual bool transform(const T& xi, const T& yi, const T& zi, T& xo, T& yo, T& zo) const;
/// transform a point
/// the point is in the integer image pixel indexes
/// image interpolator is not used
/// pt_in, pt_out stores a point as an array
virtual bool transform(const size_t* pt_in, T* pt_out) const;
virtual bool transform(const size_t* pt_in, size_t N, T* pt_out) const;
/// for 2D - 2D transformation
virtual bool transform(const size_t& xi, const size_t& yi, T& xo, T& yo) const;
virtual bool transform(const size_t* xi, const size_t* yi, size_t N, T* xo, T* yo) const;
/// for 3D - 3D transformation
virtual bool transform(const size_t& xi, const size_t& yi, const size_t& zi, T& xo, T& yo, T& zo) const;
virtual bool transform(const size_t* xi, const size_t* yi, const size_t* zi, size_t N, T* xo, T* yo, T* zo) const;
/// compute jacobian matrix to spatial position
/// the jacobian matrix is computed with the compensation for non-isotropic pixel sizes
/// e.g. dxdy = ( dx(x,y+dh)*sx - dx(x, y-dh)*sx ) / (2*dh*sy); sx, sy: pixel sizes for x and y directions
/// DOut*DIn matrix
virtual bool jacobianPosition(const input_point_type& /*pos*/, jacobian_position_type& jac);
/// compute jacobian matrix on the deformation grid
/// jac is [DOut Din dimensions] array, storing the jacobian matrix for every point in the deformation field
virtual bool jacobianPosition(hoNDArray<T>& jac, DeformationFieldType* deform_field[D], unsigned int borderWidth=1);
virtual bool jacobianPosition(hoNDArray<T>& jac, unsigned int borderWidth=1);
/// compute some parameters from deformation field and jacobian matrix
/// in the world coordinate
virtual bool analyzeJacobianAndDeformation(const hoNDArray<T>& jac, DeformationFieldType* deform_field[D], T& meanDeform, T& maxDeform, T& meanLogJac, T& maxLogJac, unsigned int borderWidth=1);
virtual bool analyzeJacobianAndDeformation(const hoNDArray<T>& jac, T& meanDeform, T& maxDeform, T& meanLogJac, T& maxLogJac, unsigned int borderWidth=1);
/// get/set the deformation vector on the deformation grid (image coordinate)
/// given the index idx[DIn], output the deformation value for outDim
T& operator()( size_t idx[D], size_t outDim );
const T& operator()( size_t idx[D], size_t outDim ) const;
void get(size_t idx[D], T deform[D]);
void get(size_t x, size_t y, T& dx, T& dy);
void get(size_t x, size_t y, size_t z, T& dx, T& dy, T& dz);
void set(size_t idx[D], T deform[D]);
void set(size_t x, size_t y, T dx, T dy);
void set(size_t x, size_t y, size_t z, T dx, T dy, T dz);
/// get/set the deformation vector on the world coordinate
/// given the position pos[DIn], output the deformation value for outDim
T operator()( coord_type pos[D], size_t outDim );
void get(coord_type pos[D], T deform[D]);
void get(coord_type px, coord_type py, T& dx, T& dy);
void get(coord_type px, coord_type py, coord_type pz, T& dx, T& dy, T& dz);
/// get/set interpolator
//void getInterpolator(InterpolatorType*& interp, size_t outDim);
//void setInterpolator(InterpolatorType* interp, size_t outDim);
/// get/set deformation field
void getDeformationField(DeformationFieldType*& deform, size_t outDim);
DeformationFieldType& getDeformationField(size_t outDim) { GADGET_DEBUG_CHECK_THROW(outDim<=D); return this->deform_field_[outDim]; }
void setDeformationField(const DeformationFieldType& deform, size_t outDim);
/// serialize/deserialize the transformation
virtual bool serialize(char*& buf, size_t& len) const ;
virtual bool deserialize(char* buf, size_t& len);
virtual void print(std::ostream& os) const;
virtual std::string transformationName() const;
using BaseClass::gt_timer1_;
using BaseClass::gt_timer2_;
using BaseClass::gt_timer3_;
using BaseClass::performTiming_;
using BaseClass::gt_exporter_;
using BaseClass::debugFolder_;
protected:
DeformationFieldType deform_field_[D];
//InterpolatorType* interp_[D];
DefaultInterpolatorType* interp_default_[D];
DefaultBoundHanlderType* bh_default_[D];
};
template <typename ValueType, unsigned int D>
hoImageRegDeformationField<ValueType, D>::hoImageRegDeformationField() : BaseClass()
{
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
//interp_[ii] = NULL;
bh_default_[ii] = new DefaultBoundHanlderType(deform_field_[ii]);
interp_default_[ii] = new DefaultInterpolatorType(deform_field_[ii], *(bh_default_[ii]));
}
}
template <typename ValueType, unsigned int D>
hoImageRegDeformationField<ValueType, D>::
hoImageRegDeformationField(const std::vector<size_t>& dimensions) : BaseClass()
{
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
deform_field_[ii].create(dimensions);
memset(deform_field_[ii].get_data_ptr(), 0, deform_field_[ii].get_number_of_elements()*sizeof(T));
//interp_[ii] = NULL;
bh_default_[ii] = new DefaultBoundHanlderType(deform_field_[ii]);
interp_default_[ii] = new DefaultInterpolatorType(deform_field_[ii], *(bh_default_[ii]));
}
}
template <typename ValueType, unsigned int D>
hoImageRegDeformationField<ValueType, D>::
hoImageRegDeformationField(const std::vector<size_t>& dimensions, const std::vector<coord_type>& pixelSize, const std::vector<coord_type>& origin, const axis_type& axis) : BaseClass()
{
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
deform_field_[ii].create(dimensions, pixelSize, origin, axis);
memset(deform_field_[ii].get_data_ptr(), 0, deform_field_[ii].get_number_of_elements()*sizeof(T));
//interp_[ii] = NULL;
bh_default_[ii] = new DefaultBoundHanlderType(deform_field_[ii]);
interp_default_[ii] = new DefaultInterpolatorType(deform_field_[ii], *(bh_default_[ii]));
}
}
template <typename ValueType, unsigned int D>
hoImageRegDeformationField<ValueType, D>::hoImageRegDeformationField(const hoNDImage<ValueType, D>& im) : BaseClass()
{
std::vector<size_t> dim;
im.get_dimensions(dim);
std::vector<coord_type> pixelSize;
im.get_pixel_size(pixelSize);
std::vector<coord_type> origin;
im.get_origin(origin);
axis_type axis;
im.get_axis(axis);
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
deform_field_[ii].create(dim, pixelSize, origin, axis);
memset(deform_field_[ii].get_data_ptr(), 0, deform_field_[ii].get_number_of_elements()*sizeof(T));
//interp_[ii] = NULL;
bh_default_[ii] = new DefaultBoundHanlderType(deform_field_[ii]);
interp_default_[ii] = new DefaultInterpolatorType(deform_field_[ii], *(bh_default_[ii]));
}
}
template <typename ValueType, unsigned int D>
hoImageRegDeformationField<ValueType, D>::
~hoImageRegDeformationField()
{
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
delete bh_default_[ii];
delete interp_default_[ii];
}
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::invertTransformation()
{
/// to be implemented ...
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::setIdentity()
{
try
{
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
memset(deform_field_[ii].get_data_ptr(), 0, deform_field_[ii].get_number_of_elements()*sizeof(T));
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::setIdentity() ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::update()
{
try
{
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
interp_default_[ii]->setArray(deform_field_[ii]);
interp_default_[ii]->setBoundaryHandler(*bh_default_[ii]);
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::update() ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::transform(const T* pt_in, T* pt_out) const
{
try
{
std::vector<coord_type> pos(D);
int ii;
for ( ii=0; ii<(int)D; ii++ )
{
pos[ii] = pt_in[ii];
}
#pragma omp parallel for default(none) private(ii) shared(pos, pt_out)
for ( ii=0; ii<(int)D; ii++ )
{
pt_out[ii] += this->interp_default_[ii]->operator()(pos);
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::transform(T* pt_in, T* pt_out) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::transform(const T& xi, const T& yi, T& xo, T& yo) const
{
try
{
xo = xi + (*interp_default_[0])(xi, yi);
yo = yi + (*interp_default_[1])(xi, yi);
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::transform(const T& xi, const T& yi, T& xo, T& yo) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::transform(const T& xi, const T& yi, const T& zi, T& xo, T& yo, T& zo) const
{
try
{
xo = xi + (*interp_default_[0])(xi, yi, zi);
yo = yi + (*interp_default_[1])(xi, yi, zi);
zo = zi + (*interp_default_[2])(xi, yi, zi);
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::transform(const T& xi, const T& yi, const T& zi, T& xo, T& yo, T& zo) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::transform(const size_t* pt_in, T* pt_out) const
{
try
{
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
pt_out[ii] = pt_in[ii] + this->deform_field_[ii](pt_in);
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::transform(size_t* pt_in, T* pt_out) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::transform(const size_t* pt_in, size_t N, T* pt_out) const
{
try
{
long long n;
#pragma omp parallel for default(none) private(n) shared(N, pt_in, pt_out)
for( n=0; n<(long long)N; n++ )
{
this->transform(pt_in+n*D, pt_out+n*D);
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::transform(size_t* pt_in, size_t N, T* pt_out) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::transform(const size_t& xi, const size_t& yi, T& xo, T& yo) const
{
try
{
xo = xi + this->deform_field_[0](xi, yi);
yo = yi + this->deform_field_[1](xi, yi);
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::transform(const size_t& xi, const size_t& yi, T& xo, T& yo) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::transform(const size_t* xi, const size_t* yi, size_t N, T* xo, T* yo) const
{
try
{
long long n;
#pragma omp parallel for default(none) private(n) shared(N, xi, yi, xo, yo)
for( n=0; n<(long long)N; n++ )
{
this->transform(xi[n], yi[n], xo[n], yo[n]);
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::transform(size_t* xi, size_t* yi, size_t N, T* xo, T* yo) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::transform(const size_t& xi, const size_t& yi, const size_t& zi, T& xo, T& yo, T& zo) const
{
try
{
xo = xi + this->deform_field_[0](xi, yi, zi);
yo = yi + this->deform_field_[1](xi, yi, zi);
zo = zi + this->deform_field_[2](xi, yi, zi);
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::transform(const size_t& xi, const size_t& yi, const size_t& zi, T& xo, T& yo, T& zo) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::transform(const size_t* xi, const size_t* yi, const size_t* zi, size_t N, T* xo, T* yo, T* zo) const
{
try
{
long long n;
#pragma omp parallel for default(none) private(n) shared(N, xi, yi, zi, xo, yo, zo)
for( n=0; n<(long long)N; n++ )
{
this->transform(xi[n], yi[n], zi[n], xo[n], yo[n], zo[n]);
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::transform(size_t* xi, size_t* yi, size_t* zi, size_t N, T* xo, T* yo, T* zo) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::jacobianPosition(const input_point_type& pos, jacobian_position_type& jac)
{
try
{
jac.createMatrix(D, D);
T delta = 0.5;
T deltaReciprocal = T(1.0)/(T(2.0)*delta);
std::vector<coord_type> pixelSize(D);
coord_type pos_positive_vec[D];
coord_type pos_negative_vec[D];
deform_field_[0].get_pixel_size(pixelSize);
size_t din, dout;
for ( dout=0; dout<D; dout++ )
{
for ( din=0; din<D; din++ )
{
input_point_type pos_positive(pos);
input_point_type pos_negative(pos);
pos_positive[din] += delta;
pos_negative[din] -= delta;
for (size_t dd = 0; dd < D; dd++)
{
pos_positive_vec[dd] = (coord_type)pos_positive[dd];
pos_negative_vec[dd] = (coord_type)pos_negative[dd];
}
T v_positive = (*interp_default_[dout])(pos_positive_vec);
T v_negative = (*interp_default_[dout])(pos_negative_vec);
jac(dout, din) = (v_positive-v_negative)*deltaReciprocal;
if ( dout != din )
{
// scaled for non-isotropic pixel sizes
jac(dout, din) *= ( pixelSize[dout]/pixelSize[din] );
}
}
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::jacobianPosition(const input_point_type& pos, jacobian_position_type& jac) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::jacobianPosition(hoNDArray<T>& jac, unsigned int borderWidth)
{
DeformationFieldType* deform_field[D];
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
deform_field[ii] = &deform_field_[ii];
}
return this->jacobianPosition(jac, deform_field, borderWidth);
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::jacobianPosition(hoNDArray<T>& jac, DeformationFieldType* deform_field[D], unsigned int borderWidth)
{
try
{
std::vector<size_t> dim;
deform_field[0]->get_dimensions(dim);
std::vector<size_t> dimJac(D+2, D);
memcpy(&dimJac[0]+2, &dim[0], sizeof(size_t)*D);
jac.create(dimJac);
Gadgetron::clear(&jac);
std::vector<size_t> offset(D);
deform_field[0]->get_offset_factor(offset);
std::vector<coord_type> pixelSize(D);
deform_field[0]->get_pixel_size(pixelSize);
T delta = 1.0;
T deltaReciprocal = T(1.0)/(T(2.0)*delta);
size_t N = deform_field[0]->get_number_of_elements();
long long n;
#pragma omp parallel private(n) shared(N, jac, dim, offset, pixelSize, borderWidth, deltaReciprocal, deform_field)
{
std::vector<size_t> ind(D);
hoNDArray<T> jacCurr(D, D);
#pragma omp for
for ( n=0; n<(long long)N; n++ )
{
ind = deform_field[0]->calculate_index( n );
bool inRange = true;
size_t din, dout;
for ( dout=0; dout<D; dout++ )
{
if ( ind[dout]<borderWidth || ind[dout]>=dim[dout]-borderWidth )
{
inRange = false;
break;
}
}
if ( inRange )
{
for ( dout=0; dout<D; dout++ )
{
for ( din=0; din<D; din++ )
{
size_t offset_positive = n + offset[din];
size_t offset_negative = n - offset[din];
T v_positive = (*deform_field[dout])(offset_positive);
T v_negative = (*deform_field[dout])(offset_negative);
jacCurr(dout, din) = (v_positive-v_negative)*deltaReciprocal;
if ( dout != din )
{
// scaled for non-isotropic pixel sizes
jacCurr(dout, din) *= ( pixelSize[dout]/pixelSize[din] );
}
}
}
memcpy(jac.begin()+n*D*D, jacCurr.begin(), sizeof(T)*D*D);
}
}
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::jacobianPosition(hoNDArray<T>& jac, DeformationFieldType* deform_field[D], unsigned int borderWidth) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline bool hoImageRegDeformationField<ValueType, D>::
analyzeJacobianAndDeformation(const hoNDArray<T>& jac, T& meanDeform, T& maxDeform, T& meanLogJac, T& maxLogJac, unsigned int borderWidth)
{
DeformationFieldType* deform_field[D];
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
deform_field[ii] = &deform_field_[ii];
}
return this->analyzeJacobianAndDeformation(jac, deform_field, meanDeform, maxDeform, meanLogJac, maxLogJac, borderWidth);
}
template <typename ValueType, unsigned int D>
bool hoImageRegDeformationField<ValueType, D>::
analyzeJacobianAndDeformation(const hoNDArray<T>& jac, DeformationFieldType* deform_field[D], T& meanDeform, T& maxDeform, T& meanLogJac, T& maxLogJac, unsigned int borderWidth)
{
try
{
std::vector<size_t> dim;
deform_field[0]->get_dimensions(dim);
std::vector<coord_type> pixelSize(D);
deform_field[0]->get_pixel_size(pixelSize);
size_t N = deform_field[0]->get_number_of_elements();
meanDeform = 0;
maxDeform = -1;
meanLogJac = 0;
maxLogJac = -1;
hoNDArray<T> deformNorm(dim);
Gadgetron::clear(deformNorm);
hoNDArray<T> logJac(dim);
Gadgetron::clear(logJac);
long long n;
#pragma omp parallel private(n) shared(N, borderWidth, jac, deformNorm, logJac, dim, pixelSize, deform_field)
{
std::vector<size_t> ind(D);
hoMatrix<T> jacCurr(D, D);
unsigned int ii;
#pragma omp for
for ( n=0; n<(long long)N; n++ )
{
ind = deform_field[0]->calculate_index( n );
bool inRange = true;
size_t dout;
for ( dout=0; dout<D; dout++ )
{
if ( ind[dout]<borderWidth || ind[dout]>=dim[dout]-borderWidth )
{
inRange = false;
break;
}
}
if ( inRange )
{
memcpy(jacCurr.begin(), jac.begin()+n*D*D, sizeof(T)*D*D);
T deformMag(0), v, det;
for ( ii=0; ii<D; ii++ )
{
jacCurr(ii, ii) += 1.0;
v = (*deform_field[ii])(n)*pixelSize[ii];
deformMag += v*v;
}
deformNorm(n) = std::sqrt(deformMag);
if ( D == 2 )
{
det = jacCurr(0, 0)*jacCurr(1, 1) - jacCurr(0, 1)*jacCurr(1, 0);
}
else if ( D == 3 )
{
det = jacCurr(0, 0)*jacCurr(1, 1)*jacCurr(2, 2)
+ jacCurr(0, 1)*jacCurr(1, 2)*jacCurr(2, 0)
+ jacCurr(0, 2)*jacCurr(2, 1)*jacCurr(1, 0)
- jacCurr(0, 2)*jacCurr(1, 1)*jacCurr(2, 0)
- jacCurr(0, 1)*jacCurr(1, 0)*jacCurr(2, 2)
- jacCurr(0, 0)*jacCurr(2, 1)*jacCurr(1, 2);
}
// if ( std::abs(det) < FLT_EPSILON ) det = FLT_EPSILON;
if ( det < FLT_EPSILON ) det = FLT_EPSILON;
logJac(n) = std::log(det);
if( std::isnan(logJac(n)) ) logJac(n) = 0;
}
}
}
size_t ind;
Gadgetron::maxAbsolute(deformNorm, maxDeform, ind);
Gadgetron::maxAbsolute(logJac, maxLogJac, ind);
double totalDeform = 0;
for ( n=0; n<(long long)N; n++ )
{
totalDeform += deformNorm(n);
}
// Gadgetron::norm1(deformNorm, meanDeform);
meanDeform = (T)(totalDeform/N);
double totalLogJac = 0;
for ( n=0; n<(long long)N; n++ )
{
totalLogJac += std::abs(logJac(n));
}
// Gadgetron::norm1(logJac, meanLogJac);
meanLogJac = (T)(totalLogJac/N);
}
catch(...)
{
GERROR_STREAM("Errors happened in analyzeJacobianAndDeformation(const hoNDArray<T>& jac, DeformationFieldType* deform_field[D], T& meanDeform, T& maxDeform, T& meanLogJac, T& maxLogJac, unsigned int borderWidth) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
inline ValueType& hoImageRegDeformationField<ValueType, D>::operator()( size_t idx[D], size_t outDim )
{
GADGET_DEBUG_CHECK_THROW(outDim<=D);
return this->deform_field_[outDim](idx);
}
template <typename ValueType, unsigned int D>
inline const ValueType& hoImageRegDeformationField<ValueType, D>::operator()( size_t idx[D], size_t outDim ) const
{
GADGET_DEBUG_CHECK_THROW(outDim<=D);
return this->deform_field_[outDim](idx);
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::get(size_t idx[D], T deform[D])
{
size_t offset = this->deform_field_[0].calculate_offset(idx);
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
deform[ii] = this->deform_field_[ii](offset);
}
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::get(size_t x, size_t y, T& dx, T& dy)
{
size_t offset = this->deform_field_[0].calculate_offset(x, y);
dx = this->deform_field_[0](offset);
dy = this->deform_field_[1](offset);
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::get(size_t x, size_t y, size_t z, T& dx, T& dy, T& dz)
{
size_t offset = this->deform_field_[0].calculate_offset(x, y, z);
dx = this->deform_field_[0](offset);
dy = this->deform_field_[1](offset);
dz = this->deform_field_[2](offset);
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::set(size_t idx[D], T deform[D])
{
size_t offset = this->deform_field_[0].calculate_offset(idx);
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
this->deform_field_[ii](offset) = deform[ii];
}
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::set(size_t x, size_t y, T dx, T dy)
{
size_t offset = this->deform_field_[0].calculate_offset(x, y);
this->deform_field_[0](offset) = dx;
this->deform_field_[1](offset) = dy;
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::set(size_t x, size_t y, size_t z, T dx, T dy, T dz)
{
size_t offset = this->deform_field_[0].calculate_offset(x, y, z);
this->deform_field_[0](offset) = dx;
this->deform_field_[1](offset) = dy;
this->deform_field_[2](offset) = dz;
}
template <typename ValueType, unsigned int D>
inline ValueType hoImageRegDeformationField<ValueType, D>::operator()( coord_type pos[D], size_t outDim )
{
GADGET_DEBUG_CHECK_THROW(outDim<=D);
return (*interp_default_[outDim])(pos);
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::get(coord_type pos[D], T deform[D])
{
unsigned int ii;
for (ii=0; ii<D; ii++ )
{
deform[ii] = (*interp_default_[ii])(pos);
}
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::get(coord_type px, coord_type py, T& dx, T& dy)
{
dx = (*interp_default_[0])(px, py);
dy = (*interp_default_[1])(px, py);
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::get(coord_type px, coord_type py, coord_type pz, T& dx, T& dy, T& dz)
{
dx = (*interp_default_[0])(px, py, pz);
dy = (*interp_default_[1])(px, py, pz);
dz = (*interp_default_[2])(px, py, pz);
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>:: getDeformationField(DeformationFieldType*& deform, size_t outDim)
{
GADGET_DEBUG_CHECK_THROW(outDim<=D);
deform = &(this->deform_field_[outDim]);
}
template <typename ValueType, unsigned int D>
inline void hoImageRegDeformationField<ValueType, D>::setDeformationField(const DeformationFieldType& deform, size_t outDim)
{
GADGET_DEBUG_CHECK_THROW(outDim<=D);
this->deform_field_[outDim] = deform;
this->update();
}
template <typename ValueType, unsigned int D>
bool hoImageRegDeformationField<ValueType, D>::serialize(char*& buf, size_t& len) const
{
try
{
if ( buf != NULL ) delete[] buf;
char* bufInternal[D];
size_t lenInternal[D];
// serialize every dimension
size_t totalLen = 0;
unsigned int ii;
for ( ii=0; ii<D; ii++ )
{
GADGET_CHECK_RETURN_FALSE(this->deform_field_[ii].serialize(bufInternal[ii], lenInternal[ii]));
totalLen += lenInternal[ii];
}
// number of dimensions + dimension vector + pixel size + origin + axis + contents
len = sizeof(unsigned int) + totalLen;
buf = new char[len];
GADGET_CHECK_RETURN_FALSE(buf!=NULL);
unsigned int NDim=D;
size_t offset = 0;
memcpy(buf, &NDim, sizeof(unsigned int));
offset += sizeof(unsigned int);
if ( NDim > 0 )
{
for ( ii=0; ii<D; ii++ )
{
memcpy(buf+offset, bufInternal[ii], lenInternal[ii]);
offset += lenInternal[ii];
}
for ( ii=0; ii<D; ii++ )
{
delete [] bufInternal[ii];
}
}
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::serialize(...) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
bool hoImageRegDeformationField<ValueType, D>::deserialize(char* buf, size_t& len)
{
try
{
unsigned int NDim;
memcpy(&NDim, buf, sizeof(unsigned int));
if ( NDim != D )
{
GERROR_STREAM("hoImageRegDeformationField<ValueType, D>::deserialize(...) : number of image dimensions does not match ... ");
return false;
}
size_t offset = sizeof(unsigned int);
unsigned int ii;
if ( NDim > 0 )
{
for ( ii=0; ii<D; ii++ )
{
size_t lenInternal;
GADGET_CHECK_RETURN_FALSE(this->deform_field_[ii].deserialize(buf+offset, lenInternal));
offset += lenInternal;
}
}
len = offset;
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDeformationField<ValueType, D>::deserialize(...) ... ");
return false;
}
return true;
}
template <typename ValueType, unsigned int D>
void hoImageRegDeformationField<ValueType, D>::print(std::ostream& os) const
{
using namespace std;
os << "--------------Gagdgetron deformation field geometry transformation -------------" << endl;
os << "Deformation field dimension is : " << D << endl;
std::string elemTypeName = std::string(typeid(T).name());
os << "Transformation data type is : " << elemTypeName << std::endl;
}
template <typename ValueType, unsigned int D>
std::string hoImageRegDeformationField<ValueType, D>::transformationName() const
{
return std::string("hoImageRegDeformationField");
}
}
#endif // hoImageRegDeformationField_H_
|
parallel_algebra.c | #include "parallel_algebra.h"
DLL_EXPORT int padd(float * x, float * y, float * out, long size){
long i = 0;
#pragma omp parallel for
for (i=0; i < size; i++)
{
*(out + i ) = *(x + i) + *(y+i);
}
return 0;
}
DLL_EXPORT int psubtract(float * x, float * y, float * out, long size){
long i = 0;
#pragma omp parallel
{
//#pragma omp single
//{
// printf("current number of threads %d\n", omp_get_num_threads());
//}
#pragma omp for
for (i=0; i < size; i++)
{
*(out + i ) = *(x + i) - *(y+i);
}
}
return 0;
}
DLL_EXPORT int pmultiply(float * x, float * y, float * out, long size){
long i = 0;
#pragma omp parallel for
for (i=0; i < size; i++)
{
*(out + i ) = *(x + i) * *(y+i);
}
return 0;
}
DLL_EXPORT int pdivide(float * x, float * y, float * out, long size, float default_value)
{
long i = 0;
#pragma omp parallel for
for (i=0; i < size; i++)
{
*(out + i ) = *(y+i) ? *(x + i) / *(y+i) : default_value;
}
return 0;
}
DLL_EXPORT int ppower(float * x, float * y, float * out, long size){
long i = 0;
#pragma omp parallel for
for (i=0; i < size; i++)
{
*(out + i ) = (float)pow(*(x + i) , *(y+i)) ;
}
return 0;
}
DLL_EXPORT int pminimum(float * x, float * y, float * out, long size){
long i = 0;
#pragma omp parallel for
for (i=0; i < size; i++)
{
*(out + i ) = *(y+i) > (*x+i) ? *(x + i) : *(y+i);
}
return 0;
}
DLL_EXPORT int pmaximum(float * x, float * y, float * out, long size) {
long i = 0;
#pragma omp parallel for
for (i = 0; i < size; i++)
{
*(out + i) = *(y + i) < (*x + i) ? *(x + i) : *(y + i);
}
return 0;
}
DLL_EXPORT int saxpby(float * x, float * y, float * out, float a, float b, long size){
long i = 0;
#pragma omp parallel
{
#pragma omp for
for (i=0; i < size; i++)
{
*(out + i ) = a * ( *(x + i) ) + b * ( *(y + i) );
}
}
return 0;
}
DLL_EXPORT int daxpby(double * x, double * y, double * out, double a, double b, long size) {
long i = 0;
#pragma omp parallel
{
#pragma omp for
for (i = 0; i < size; i++)
{
*(out + i) = a * (*(x + i)) + b * (*(y + i));
}
}
return 0;
} |
SwathFileConsumer.h | // --------------------------------------------------------------------------
// OpenMS -- Open-Source Mass Spectrometry
// --------------------------------------------------------------------------
// Copyright The OpenMS Team -- Eberhard Karls University Tuebingen,
// ETH Zurich, and Freie Universitaet Berlin 2002-2015.
//
// This software is released under a three-clause BSD license:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// * Neither the name of any author or any participating institution
// may be used to endorse or promote products derived from this software
// without specific prior written permission.
// For a full list of authors, refer to the file AUTHORS.
// --------------------------------------------------------------------------
// 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 ANY OF THE AUTHORS OR THE CONTRIBUTING
// INSTITUTIONS 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.
//
// --------------------------------------------------------------------------
// $Maintainer: Hannes Roest $
// $Authors: Hannes Roest $
// --------------------------------------------------------------------------
#ifndef OPENMS_FORMAT_DATAACCESS_SWATHFILECONSUMER_H
#define OPENMS_FORMAT_DATAACCESS_SWATHFILECONSUMER_H
#include <boost/cast.hpp>
// Datastructures
#include <OpenMS/ANALYSIS/OPENSWATH/OPENSWATHALGO/DATAACCESS/DataStructures.h>
#include <OpenMS/ANALYSIS/OPENSWATH/OPENSWATHALGO/DATAACCESS/SwathMap.h>
// Consumers
#include <OpenMS/FORMAT/DATAACCESS/MSDataCachedConsumer.h>
#include <OpenMS/FORMAT/DATAACCESS/MSDataTransformingConsumer.h>
// Helpers
#include <OpenMS/ANALYSIS/OPENSWATH/OpenSwathHelper.h>
#include <OpenMS/ANALYSIS/OPENSWATH/DATAACCESS/SimpleOpenMSSpectraAccessFactory.h>
#include <OpenMS/INTERFACES/IMSDataConsumer.h>
#include <OpenMS/FORMAT/CachedMzML.h>
#ifdef _OPENMP
#include <omp.h>
#endif
namespace OpenMS
{
/**
* @brief Abstract base class which can consume spectra coming from SWATH experiment stored in a single file.
*
* The class consumes spectra which are coming from a complete SWATH
* experiment. It will group MS2 spectra by their precursor m/z, assuming
* that they correspond to the same SWATH window. For example, the spectra
* could be arranged in the following fashion:
*
* - MS1 Spectrum (no precursor)
* - MS2 Spectrum (precursor = [400,425])
* - MS2 Spectrum (precursor = [425,450])
* - [...]
* - MS2 Spectrum (precursor = [1175,1200])
* - MS1 Spectrum (no precursor)
* - MS2 Spectrum (precursor = [400,425])
* - MS2 Spectrum (precursor = [425,450])
* - [...]
*
* Base classes are expected to implement functions consuming a spectrum coming
* from a specific SWATH or an MS1 spectrum and a final function
* ensureMapsAreFilled_ after which the swath_maps_ vector needs to contain
* valid pointers to MSExperiment.
*
* In addition it is possible to provide the swath boundaries and the read in
* spectra will be matched by their precursor m/z to the "center" attribute
* of the provided Swath maps.
*
* Usage:
*
* @code
* FullSwathFileConsumer * dataConsumer;
* // assign dataConsumer to an implementation of FullSwathFileConsumer
* MzMLFile().transform(file, dataConsumer);
* dataConsumer->retrieveSwathMaps(maps);
* @endcode
*
*/
class OPENMS_DLLAPI FullSwathFileConsumer :
public Interfaces::IMSDataConsumer<>
{
public:
typedef MSExperiment<> MapType;
typedef MapType::SpectrumType SpectrumType;
typedef MapType::ChromatogramType ChromatogramType;
FullSwathFileConsumer() :
ms1_map_(), // initialize to null
consuming_possible_(true),
use_external_boundaries_(false),
correct_window_counter_(0)
{
use_external_boundaries_ = !swath_map_boundaries_.empty();
}
/**
* @brief Constructor
*
* @param swath_boundaries A vector of SwathMaps of which only the center,
* lower and upper attributes will be used to infer the expected Swath maps.
*
*/
FullSwathFileConsumer(std::vector<OpenSwath::SwathMap> swath_boundaries) :
swath_map_boundaries_(swath_boundaries),
ms1_map_(), // initialize to null
consuming_possible_(true),
use_external_boundaries_(false),
correct_window_counter_(0)
{
use_external_boundaries_ = !swath_map_boundaries_.empty();
}
~FullSwathFileConsumer() {}
void setExpectedSize(Size, Size) {}
void setExperimentalSettings(const ExperimentalSettings& exp) {settings_ = exp; }
/**
* @brief Populate the vector of swath maps after consuming all spectra.
*
* Will populate the input vector with SwathMap objects which correspond to
* the MS1 map (if present) and the MS2 maps (SWATH maps). This should be
* called after all spectra are consumed.
*
* @note It is not possible to consume any more spectra after calling this
* function (it contains finalization code and may close file streams).
*
*/
void retrieveSwathMaps(std::vector<OpenSwath::SwathMap>& maps)
{
consuming_possible_ = false; // make consumption of further spectra / chromatograms impossible
ensureMapsAreFilled_();
if (ms1_map_)
{
OpenSwath::SwathMap map;
map.sptr = SimpleOpenMSSpectraFactory::getSpectrumAccessOpenMSPtr(ms1_map_);
map.lower = -1;
map.upper = -1;
map.center = -1;
map.ms1 = true;
maps.push_back(map);
}
// Print warning if the lower/upper window could not be determined and we
// required manual determination of the boundaries.
if (!use_external_boundaries_ && correct_window_counter_ != swath_maps_.size())
{
std::cout << "WARNING: Could not correctly read the upper/lower limits of the SWATH windows from your input file. Read " <<
correct_window_counter_ << " correct (non-zero) window limits (expected " << swath_maps_.size() << " windows)." << std::endl;
}
size_t nonempty_maps = 0;
for (Size i = 0; i < swath_maps_.size(); i++)
{
OpenSwath::SwathMap map;
map.sptr = SimpleOpenMSSpectraFactory::getSpectrumAccessOpenMSPtr(swath_maps_[i]);
map.lower = swath_map_boundaries_[i].lower;
map.upper = swath_map_boundaries_[i].upper;
map.center = swath_map_boundaries_[i].center;
map.ms1 = false;
maps.push_back(map);
if (map.sptr->getNrSpectra() > 0) {nonempty_maps++;}
}
if (nonempty_maps != swath_map_boundaries_.size())
{
std::cout << "WARNING: The number nonempty maps found in the input file (" << nonempty_maps << ") is not equal to the number of provided swath window boundaries (" <<
swath_map_boundaries_.size() << "). Please check your input." << std::endl;
}
}
/// Consume a chromatogram -> should not happen when dealing with SWATH maps
void consumeChromatogram(MapType::ChromatogramType&)
{
std::cerr << "Read chromatogram while reading SWATH files, did not expect that!" << std::endl;
}
/**
* @brief * Consume a spectrum which may belong either to an MS1 scan or
* one of n MS2 (SWATH) scans
*
*/
void consumeSpectrum(MapType::SpectrumType& s)
{
if (!consuming_possible_)
{
throw Exception::IllegalArgument(__FILE__, __LINE__, __PRETTY_FUNCTION__,
"FullSwathFileConsumer cannot consume any more spectra after retrieveSwathMaps has been called already");
}
if (s.getMSLevel() == 1)
{
consumeMS1Spectrum_(s);
}
else
{
if (s.getPrecursors().empty())
{
throw Exception::InvalidParameter(__FILE__, __LINE__, __PRETTY_FUNCTION__,
"Swath scan does not provide a precursor.");
}
const std::vector<Precursor> prec = s.getPrecursors();
double center = prec[0].getMZ();
double lower = prec[0].getMZ() - prec[0].getIsolationWindowLowerOffset();
double upper = prec[0].getMZ() + prec[0].getIsolationWindowUpperOffset();
bool found = false;
// Check if enough information is present to infer the swath
if (center <= 0.0)
{
throw Exception::InvalidParameter(__FILE__, __LINE__, __PRETTY_FUNCTION__,
"Swath scan does not provide any precursor isolation information.");
}
// try to match the current scan to one of the already known windows
for (Size i = 0; i < swath_map_boundaries_.size(); i++)
{
// We group by the precursor mz (center of the window) since this
// should be present in all SWATH scans.
if (std::fabs(center - swath_map_boundaries_[i].center) < 1e-6)
{
found = true;
consumeSwathSpectrum_(s, i);
}
}
if (!found)
{
if (use_external_boundaries_)
{
throw Exception::InvalidParameter(__FILE__, __LINE__, __PRETTY_FUNCTION__,
String("Encountered SWATH scan with boundary ") + center + " m/z which was not present in the provided windows.");
}
else
{
consumeSwathSpectrum_(s, swath_map_boundaries_.size());
// we found a new SWATH window
if (lower > 0.0 && upper > 0.0)
{correct_window_counter_++;}
OpenSwath::SwathMap boundary;
boundary.lower = lower;
boundary.upper = upper;
boundary.center = center;
swath_map_boundaries_.push_back(boundary);
LOG_DEBUG << "Adding Swath centered at " << center
<< " m/z with an isolation window of " << lower << " to " << upper
<< " m/z." << std::endl;
}
}
}
}
protected:
/**
* @brief Consume an MS2 spectrum belonging to SWATH "swath_nr"
*
* This function should handle a spectrum belonging to a specific SWATH
* (indicated by swath_nr).
*
*/
virtual void consumeSwathSpectrum_(MapType::SpectrumType& s, size_t swath_nr) = 0;
/**
* @brief Consume an MS1 spectrum
*
* This function should handle an MS1 spectrum.
*
*/
virtual void consumeMS1Spectrum_(MapType::SpectrumType& s) = 0;
/**
* @brief Callback function after the reading is complete
*
* Has to ensure that swath_maps_ and ms1_map_ are correctly populated.
*/
virtual void ensureMapsAreFilled_() = 0;
/// A list of Swath map identifiers (lower/upper boundary and center)
std::vector<OpenSwath::SwathMap> swath_map_boundaries_;
/// A list of SWATH maps and the MS1 map
std::vector<boost::shared_ptr<MSExperiment<> > > swath_maps_;
boost::shared_ptr<MSExperiment<> > ms1_map_;
/// The Experimental settings
// (MSExperiment has no constructor using ExperimentalSettings)
MSExperiment<> settings_;
/// Whether further spectra can still be consumed
bool consuming_possible_;
/// Whether to use external input for SWATH boundaries
bool use_external_boundaries_;
/// How many windows were correctly annotated (non-zero window limits)
size_t correct_window_counter_;
};
/**
* @brief In-memory implementation of FullSwathFileConsumer
*
* Keeps all the spectra in memory by just appending them to an MSExperiment.
*
*/
class OPENMS_DLLAPI RegularSwathFileConsumer :
public FullSwathFileConsumer
{
public:
typedef MSExperiment<> MapType;
typedef MapType::SpectrumType SpectrumType;
typedef MapType::ChromatogramType ChromatogramType;
RegularSwathFileConsumer() {}
RegularSwathFileConsumer(std::vector<OpenSwath::SwathMap> known_window_boundaries) :
FullSwathFileConsumer(known_window_boundaries) {}
protected:
void addNewSwathMap_()
{
boost::shared_ptr<MSExperiment<Peak1D> > exp(new MSExperiment<Peak1D>(settings_));
swath_maps_.push_back(exp);
}
void consumeSwathSpectrum_(MapType::SpectrumType& s, size_t swath_nr)
{
while (swath_maps_.size() <= swath_nr)
{
addNewSwathMap_();
}
swath_maps_[swath_nr]->addSpectrum(s);
}
void addMS1Map_()
{
boost::shared_ptr<MSExperiment<Peak1D> > exp(new MSExperiment<Peak1D>(settings_));
ms1_map_ = exp;
}
void consumeMS1Spectrum_(MapType::SpectrumType& s)
{
if (!ms1_map_)
{
addMS1Map_();
}
ms1_map_->addSpectrum(s);
}
void ensureMapsAreFilled_() {}
};
/**
* @brief On-disk cached implementation of FullSwathFileConsumer
*
* Writes all spectra immediately to disk in a user-specified caching
* location using the MSDataCachedConsumer. Internally, it handles
* n+1 (n SWATH + 1 MS1 map) objects of MSDataCachedConsumer which can consume the
* spectra and write them to disk immediately.
*
*/
class OPENMS_DLLAPI CachedSwathFileConsumer :
public FullSwathFileConsumer
{
public:
typedef MSExperiment<> MapType;
typedef MapType::SpectrumType SpectrumType;
typedef MapType::ChromatogramType ChromatogramType;
CachedSwathFileConsumer(String cachedir, String basename, Size nr_ms1_spectra, std::vector<int> nr_ms2_spectra) :
ms1_consumer_(NULL),
swath_consumers_(),
cachedir_(cachedir),
basename_(basename),
nr_ms1_spectra_(nr_ms1_spectra),
nr_ms2_spectra_(nr_ms2_spectra)
{}
CachedSwathFileConsumer(std::vector<OpenSwath::SwathMap> known_window_boundaries,
String cachedir, String basename, Size nr_ms1_spectra, std::vector<int> nr_ms2_spectra) :
FullSwathFileConsumer(known_window_boundaries),
ms1_consumer_(NULL),
swath_consumers_(),
cachedir_(cachedir),
basename_(basename),
nr_ms1_spectra_(nr_ms1_spectra),
nr_ms2_spectra_(nr_ms2_spectra)
{}
~CachedSwathFileConsumer()
{
// Properly delete the MSDataCachedConsumer -> free memory and _close_ file stream
while (!swath_consumers_.empty())
{
delete swath_consumers_.back();
swath_consumers_.pop_back();
}
if (ms1_consumer_ != NULL)
{
delete ms1_consumer_;
ms1_consumer_ = NULL;
}
}
protected:
void addNewSwathMap_()
{
String meta_file = cachedir_ + basename_ + "_" + String(swath_consumers_.size()) + ".mzML";
String cached_file = meta_file + ".cached";
MSDataCachedConsumer* consumer = new MSDataCachedConsumer(cached_file, true);
consumer->setExpectedSize(nr_ms2_spectra_[swath_consumers_.size()], 0);
swath_consumers_.push_back(consumer);
// maps for meta data
boost::shared_ptr<MSExperiment<Peak1D> > exp(new MSExperiment<Peak1D>(settings_));
swath_maps_.push_back(exp);
}
void consumeSwathSpectrum_(MapType::SpectrumType& s, size_t swath_nr)
{
while (swath_maps_.size() <= swath_nr)
{
addNewSwathMap_();
}
swath_consumers_[swath_nr]->consumeSpectrum(s);
swath_maps_[swath_nr]->addSpectrum(s); // append for the metadata (actual data is deleted)
}
void addMS1Map_()
{
String meta_file = cachedir_ + basename_ + "_ms1.mzML";
String cached_file = meta_file + ".cached";
ms1_consumer_ = new MSDataCachedConsumer(cached_file, true);
ms1_consumer_->setExpectedSize(nr_ms1_spectra_, 0);
boost::shared_ptr<MSExperiment<Peak1D> > exp(new MSExperiment<Peak1D>(settings_));
ms1_map_ = exp;
}
void consumeMS1Spectrum_(MapType::SpectrumType& s)
{
if (ms1_consumer_ == NULL)
{
addMS1Map_();
}
ms1_consumer_->consumeSpectrum(s);
ms1_map_->addSpectrum(s); // append for the metadata (actual data is deleted)
}
void ensureMapsAreFilled_()
{
size_t swath_consumers_size = swath_consumers_.size();
bool have_ms1 = (ms1_consumer_ != NULL);
// Properly delete the MSDataCachedConsumer -> free memory and _close_ file stream
// The file streams to the cached data on disc can and should be closed
// here safely. Since ensureMapsAreFilled_ is called after consuming all
// the spectra, there will be no more spectra to append but the client
// might already want to read after this call, so all data needs to be
// present on disc and the file streams closed.
//
// TODO merge with destructor code into own function!
while (!swath_consumers_.empty())
{
delete swath_consumers_.back();
swath_consumers_.pop_back();
}
if (ms1_consumer_ != NULL)
{
delete ms1_consumer_;
ms1_consumer_ = NULL;
}
if (have_ms1)
{
boost::shared_ptr<MSExperiment<Peak1D> > exp(new MSExperiment<Peak1D>);
String meta_file = cachedir_ + basename_ + "_ms1.mzML";
// write metadata to disk and store the correct data processing tag
CachedmzML().writeMetadata(*ms1_map_, meta_file, true);
MzMLFile().load(meta_file, *exp.get());
ms1_map_ = exp;
}
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (SignedSize i = 0; i < boost::numeric_cast<SignedSize>(swath_consumers_size); i++)
{
boost::shared_ptr<MSExperiment<Peak1D> > exp(new MSExperiment<Peak1D>);
String meta_file = cachedir_ + basename_ + "_" + String(i) + ".mzML";
// write metadata to disk and store the correct data processing tag
CachedmzML().writeMetadata(*swath_maps_[i], meta_file, true);
MzMLFile().load(meta_file, *exp.get());
swath_maps_[i] = exp;
}
}
MSDataCachedConsumer* ms1_consumer_;
std::vector<MSDataCachedConsumer*> swath_consumers_;
String cachedir_;
String basename_;
int nr_ms1_spectra_;
std::vector<int> nr_ms2_spectra_;
};
}
#endif
|
GB_unop__identity_uint64_int16.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 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_uint64_int16)
// op(A') function: GB (_unop_tran__identity_uint64_int16)
// C type: uint64_t
// A type: int16_t
// cast: uint64_t cij = (uint64_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int16_t
#define GB_CTYPE \
uint64_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 ;
// casting
#define GB_CAST(z, aij) \
uint64_t z = (uint64_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int16_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
uint64_t z = (uint64_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_UINT64 || GxB_NO_INT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_uint64_int16)
(
uint64_t *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] ;
uint64_t z = (uint64_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 ;
int16_t aij = Ax [p] ;
uint64_t z = (uint64_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_uint64_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
|
flexProxDualInnerProduct.h | #ifndef flexProxDualInnerProduct_H
#define flexProxDualInnerProduct_H
#include "flexProx.h"
//! represents prox for an inner product data term
/*!
\f$ \alpha \langle \cdot,f\rangle \f$
*/
template<typename T>
class flexProxDualInnerProduct : public flexProx<T>
{
#ifdef __CUDACC__
typedef thrust::device_vector<T> Tdata;
#else
typedef std::vector<T> Tdata;
#endif
public:
flexProxDualInnerProduct() : flexProx<T>(dualInnerProductProx)
{
}
~flexProxDualInnerProduct()
{
if (VERBOSE > 0) printf("Destructor prox\n!");
}
void applyProx(T alpha, flexBoxData<T>* data, const std::vector<int> &dualNumbers, const std::vector<int> &primalNumbers)
{
}
void applyProx(T alpha, flexBoxData<T>* data, const std::vector<int> &dualNumbers, const std::vector<int> &primalNumbers, std::vector<Tdata> &fList)
{
#ifdef __CUDACC__
for (int i = 0; i < dualNumbers.size(); i++)
{
thrust::transform(fList[i].begin(), fList[i].end(), data->y[dualNumbers[i]].begin(), alpha * _1);
}
#else
for (int i = 0; i < dualNumbers.size(); i++)
{
T* ptrY = data->y[dualNumbers[i]].data();
T* ptrF = fList[i].data();
int numElements = (int)data->yTilde[dualNumbers[i]].size();
#pragma omp parallel for
for (int j = 0; j < numElements; j++)
{
ptrY[j] = alpha * ptrF[j];
}
}
#endif
}
};
#endif
|
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