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* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2018, NVIDIA 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:
* * 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 the NVIDIA CORPORATION 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 NVIDIA CORPORATION 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
* cub::DeviceSelect provides device-wide, parallel operations for selecting items from sequences
* of data items residing within device-accessible memory.
*/
#pragma once
#include <cub/agent/agent_select_if.cuh>
#include <cub/config.cuh>
#include <cub/device/dispatch/dispatch_scan.cuh>
#include <cub/grid/grid_queue.cuh>
#include <cub/thread/thread_operators.cuh>
#include <cub/util_deprecated.cuh>
#include <cub/util_device.cuh>
#include <cub/util_math.cuh>
#include <thrust/system/cuda/detail/core/triple_chevron_launch.h>
#include <nv/target>
#include <cstdio>
#include <iterator>
CUB_NAMESPACE_BEGIN
/******************************************************************************
* Kernel entry points
*****************************************************************************/
/**
* Select kernel entry point (multi-block)
*
* Performs functor-based selection if SelectOpT functor type != NullType
* Otherwise performs flag-based selection if FlagsInputIterator's value type != NullType
* Otherwise performs discontinuity selection (keep unique)
*
* @tparam InputIteratorT
* Random-access input iterator type for reading input items
*
* @tparam FlagsInputIteratorT
* Random-access input iterator type for reading selection flags (NullType* if a selection functor
* or discontinuity flagging is to be used for selection)
*
* @tparam SelectedOutputIteratorT
* Random-access output iterator type for writing selected items
*
* @tparam NumSelectedIteratorT
* Output iterator type for recording the number of items selected
*
* @tparam ScanTileStateT
* Tile status interface type
*
* @tparam SelectOpT
* Selection operator type (NullType if selection flags or discontinuity flagging is
* to be used for selection)
*
* @tparam EqualityOpT
* Equality operator type (NullType if selection functor or selection flags is
* to be used for selection)
*
* @tparam OffsetT
* Signed integer type for global offsets
*
* @tparam KEEP_REJECTS
* Whether or not we push rejected items to the back of the output
*
* @param[in] d_in
* Pointer to the input sequence of data items
*
* @param[in] d_flags
* Pointer to the input sequence of selection flags (if applicable)
*
* @param[out] d_selected_out
* Pointer to the output sequence of selected data items
*
* @param[out] d_num_selected_out
* Pointer to the total number of items selected (i.e., length of \p d_selected_out)
*
* @param[in] tile_status
* Tile status interface
*
* @param[in] select_op
* Selection operator
*
* @param[in] equality_op
* Equality operator
*
* @param[in] num_items
* Total number of input items (i.e., length of \p d_in)
*
* @param[in] num_tiles
* Total number of tiles for the entire problem
*/
template <typename ChainedPolicyT,
typename InputIteratorT,
typename FlagsInputIteratorT,
typename SelectedOutputIteratorT,
typename NumSelectedIteratorT,
typename ScanTileStateT,
typename SelectOpT,
typename EqualityOpT,
typename OffsetT,
bool KEEP_REJECTS>
__launch_bounds__(int(ChainedPolicyT::ActivePolicy::SelectIfPolicyT::BLOCK_THREADS)) __global__
void DeviceSelectSweepKernel(InputIteratorT d_in,
FlagsInputIteratorT d_flags,
SelectedOutputIteratorT d_selected_out,
NumSelectedIteratorT d_num_selected_out,
ScanTileStateT tile_status,
SelectOpT select_op,
EqualityOpT equality_op,
OffsetT num_items,
int num_tiles)
{
using AgentSelectIfPolicyT = typename ChainedPolicyT::ActivePolicy::SelectIfPolicyT;
// Thread block type for selecting data from input tiles
using AgentSelectIfT = AgentSelectIf<AgentSelectIfPolicyT,
InputIteratorT,
FlagsInputIteratorT,
SelectedOutputIteratorT,
SelectOpT,
EqualityOpT,
OffsetT,
KEEP_REJECTS>;
// Shared memory for AgentSelectIf
__shared__ typename AgentSelectIfT::TempStorage temp_storage;
// Process tiles
AgentSelectIfT(temp_storage, d_in, d_flags, d_selected_out, select_op, equality_op, num_items).ConsumeRange(
num_tiles,
tile_status,
d_num_selected_out);
}
namespace detail
{
template <class InputT, bool MayAlias>
struct device_select_policy_hub
{
struct Policy350 : ChainedPolicy<350, Policy350, Policy350>
{
static constexpr int NOMINAL_4B_ITEMS_PER_THREAD = 10;
static constexpr int ITEMS_PER_THREAD =
CUB_MIN(NOMINAL_4B_ITEMS_PER_THREAD,
CUB_MAX(1, (NOMINAL_4B_ITEMS_PER_THREAD * 4 / sizeof(InputT))));
using SelectIfPolicyT = AgentSelectIfPolicy<128,
ITEMS_PER_THREAD,
BLOCK_LOAD_DIRECT,
MayAlias ? LOAD_CA : LOAD_LDG,
BLOCK_SCAN_WARP_SCANS,
detail::fixed_delay_constructor_t<350, 450>>;
};
using MaxPolicy = Policy350;
};
} // detail
/******************************************************************************
* Dispatch
******************************************************************************/
/**
* Utility class for dispatching the appropriately-tuned kernels for DeviceSelect
*
* @tparam InputIteratorT
* Random-access input iterator type for reading input items
*
* @tparam FlagsInputIteratorT
* Random-access input iterator type for reading selection flags
* (NullType* if a selection functor or discontinuity flagging is to be used for selection)
*
* @tparam SelectedOutputIteratorT
* Random-access output iterator type for writing selected items
*
* @tparam NumSelectedIteratorT
* Output iterator type for recording the number of items selected
*
* @tparam SelectOpT
* Selection operator type (NullType if selection flags or discontinuity flagging is
* to be used for selection)
*
* @tparam EqualityOpT
* Equality operator type (NullType if selection functor or selection flags is to
* be used for selection)
*
* @tparam OffsetT
* Signed integer type for global offsets
*
* @tparam KEEP_REJECTS
* Whether or not we push rejected items to the back of the output
*/
template <typename InputIteratorT,
typename FlagsInputIteratorT,
typename SelectedOutputIteratorT,
typename NumSelectedIteratorT,
typename SelectOpT,
typename EqualityOpT,
typename OffsetT,
bool KEEP_REJECTS,
bool MayAlias = false,
typename SelectedPolicy =
detail::device_select_policy_hub<cub::detail::value_t<InputIteratorT>, MayAlias>>
struct DispatchSelectIf : SelectedPolicy
{
/******************************************************************************
* Types and constants
******************************************************************************/
// The input value type
using InputT = cub::detail::value_t<InputIteratorT>;
// The flag value type
using FlagT = cub::detail::value_t<FlagsInputIteratorT>;
// Tile status descriptor interface type
using ScanTileStateT = ScanTileState<OffsetT>;
static constexpr int INIT_KERNEL_THREADS = 128;
/// Device-accessible allocation of temporary storage.
/// When `nullptr`, the required allocation size is written to `temp_storage_bytes`
/// and no work is done.
void* d_temp_storage;
/// Reference to size in bytes of `d_temp_storage` allocation
size_t& temp_storage_bytes;
/// Pointer to the input sequence of data items
InputIteratorT d_in;
/// Pointer to the input sequence of selection flags (if applicable)
FlagsInputIteratorT d_flags;
/// Pointer to the output sequence of selected data items
SelectedOutputIteratorT d_selected_out;
/// Pointer to the total number of items selected (i.e., length of `d_selected_out`)
NumSelectedIteratorT d_num_selected_out;
/// Selection operator
SelectOpT select_op;
/// Equality operator
EqualityOpT equality_op;
/// Total number of input items (i.e., length of `d_in`)
OffsetT num_items;
/// CUDA stream to launch kernels within. Default is stream<sub>0</sub>.
cudaStream_t stream;
int ptx_version;
/**
* @param d_temp_storage
* Device-accessible allocation of temporary storage.
* When `nullptr`, the required allocation size is written to `temp_storage_bytes`
* and no work is done.
*
* @param temp_storage_bytes
* Reference to size in bytes of `d_temp_storage` allocation
*
* @param d_in
* Pointer to the input sequence of data items
*
* @param d_flags
* Pointer to the input sequence of selection flags (if applicable)
*
* @param d_selected_out
* Pointer to the output sequence of selected data items
*
* @param d_num_selected_out
* Pointer to the total number of items selected (i.e., length of `d_selected_out`)
*
* @param select_op
* Selection operator
*
* @param equality_op
* Equality operator
*
* @param num_items
* Total number of input items (i.e., length of `d_in`)
*
* @param stream
* CUDA stream to launch kernels within. Default is stream<sub>0</sub>.
*/
CUB_RUNTIME_FUNCTION __forceinline__ DispatchSelectIf(void *d_temp_storage,
size_t &temp_storage_bytes,
InputIteratorT d_in,
FlagsInputIteratorT d_flags,
SelectedOutputIteratorT d_selected_out,
NumSelectedIteratorT d_num_selected_out,
SelectOpT select_op,
EqualityOpT equality_op,
OffsetT num_items,
cudaStream_t stream,
int ptx_version)
: d_temp_storage(d_temp_storage)
, temp_storage_bytes(temp_storage_bytes)
, d_in(d_in)
, d_flags(d_flags)
, d_selected_out(d_selected_out)
, d_num_selected_out(d_num_selected_out)
, select_op(select_op)
, equality_op(equality_op)
, num_items(num_items)
, stream(stream)
, ptx_version(ptx_version)
{}
/******************************************************************************
* Dispatch entrypoints
******************************************************************************/
/**
* Internal dispatch routine for computing a device-wide selection using the
* specified kernel functions.
*/
template <typename ActivePolicyT, typename ScanInitKernelPtrT, typename SelectIfKernelPtrT>
CUB_RUNTIME_FUNCTION __forceinline__ cudaError_t Invoke(ScanInitKernelPtrT scan_init_kernel,
SelectIfKernelPtrT select_if_kernel)
{
cudaError error = cudaSuccess;
const int block_threads = ActivePolicyT::SelectIfPolicyT::BLOCK_THREADS;
const int items_per_thread = ActivePolicyT::SelectIfPolicyT::ITEMS_PER_THREAD;
const int tile_size = block_threads * items_per_thread;
do
{
// Get device ordinal
int device_ordinal;
if (CubDebug(error = cudaGetDevice(&device_ordinal)))
{
break;
}
// Number of input tiles
int num_tiles = static_cast<int>(cub::DivideAndRoundUp(num_items, tile_size));
// Specify temporary storage allocation requirements
size_t allocation_sizes[1];
// bytes needed for tile status descriptors
if (CubDebug(error = ScanTileStateT::AllocationSize(num_tiles, allocation_sizes[0])))
{
break;
}
// Compute allocation pointers into the single storage blob (or compute the necessary size of the blob)
void* allocations[1] = {};
if (CubDebug(error = AliasTemporaries(d_temp_storage, temp_storage_bytes, allocations, allocation_sizes)))
{
break;
}
if (d_temp_storage == nullptr)
{
// Return if the caller is simply requesting the size of the storage allocation
break;
}
// Construct the tile status interface
ScanTileStateT tile_status;
if (CubDebug(error = tile_status.Init(num_tiles, allocations[0], allocation_sizes[0])))
{
break;
}
// Log scan_init_kernel configuration
int init_grid_size = CUB_MAX(1, cub::DivideAndRoundUp(num_tiles, INIT_KERNEL_THREADS));
#ifdef CUB_DETAIL_DEBUG_ENABLE_LOG
_CubLog("Invoking scan_init_kernel<<<%d, %d, 0, %lld>>>()\n", init_grid_size, INIT_KERNEL_THREADS, (long long) stream);
#endif
// Invoke scan_init_kernel to initialize tile descriptors
THRUST_NS_QUALIFIER::cuda_cub::launcher::triple_chevron(
init_grid_size, INIT_KERNEL_THREADS, 0, stream
).doit(scan_init_kernel,
tile_status,
num_tiles,
d_num_selected_out);
// Check for failure to launch
if (CubDebug(error = cudaPeekAtLastError()))
{
break;
}
// Sync the stream if specified to flush runtime errors
error = detail::DebugSyncStream(stream);
if (CubDebug(error))
{
break;
}
// Return if empty problem
if (num_items == 0)
{
break;
}
// Get max x-dimension of grid
int max_dim_x;
if (CubDebug(error = cudaDeviceGetAttribute(&max_dim_x, cudaDevAttrMaxGridDimX, device_ordinal)))
{
break;
}
// Get grid size for scanning tiles
dim3 scan_grid_size;
scan_grid_size.z = 1;
scan_grid_size.y = cub::DivideAndRoundUp(num_tiles, max_dim_x);
scan_grid_size.x = CUB_MIN(num_tiles, max_dim_x);
// Log select_if_kernel configuration
#ifdef CUB_DETAIL_DEBUG_ENABLE_LOG
{
// Get SM occupancy for select_if_kernel
int range_select_sm_occupancy;
if (CubDebug(error = MaxSmOccupancy(range_select_sm_occupancy, // out
select_if_kernel,
block_threads)))
{
break;
}
_CubLog("Invoking select_if_kernel<<<{%d,%d,%d}, %d, 0, "
"%lld>>>(), %d items per thread, %d SM occupancy\n",
scan_grid_size.x,
scan_grid_size.y,
scan_grid_size.z,
block_threads,
(long long)stream,
items_per_thread,
range_select_sm_occupancy);
}
#endif
// Invoke select_if_kernel
THRUST_NS_QUALIFIER::cuda_cub::launcher::triple_chevron(
scan_grid_size, block_threads, 0, stream
).doit(select_if_kernel,
d_in,
d_flags,
d_selected_out,
d_num_selected_out,
tile_status,
select_op,
equality_op,
num_items,
num_tiles);
// Check for failure to launch
if (CubDebug(error = cudaPeekAtLastError()))
{
break;
}
// Sync the stream if specified to flush runtime errors
error = detail::DebugSyncStream(stream);
if (CubDebug(error))
{
break;
}
}
while (0);
return error;
}
template <typename ActivePolicyT>
CUB_RUNTIME_FUNCTION __forceinline__ cudaError_t Invoke()
{
using MaxPolicyT = typename SelectedPolicy::MaxPolicy;
return Invoke<ActivePolicyT>(DeviceCompactInitKernel<ScanTileStateT, NumSelectedIteratorT>,
DeviceSelectSweepKernel<MaxPolicyT,
InputIteratorT,
FlagsInputIteratorT,
SelectedOutputIteratorT,
NumSelectedIteratorT,
ScanTileStateT,
SelectOpT,
EqualityOpT,
OffsetT,
KEEP_REJECTS>);
}
/**
* Internal dispatch routine
*
* @param d_temp_storage
* Device-accessible allocation of temporary storage.
* When `nullptr`, the required allocation size is written to `temp_storage_bytes`
* and no work is done.
*
* @param temp_storage_bytes
* Reference to size in bytes of `d_temp_storage` allocation
*
* @param d_in
* Pointer to the input sequence of data items
*
* @param d_flags
* Pointer to the input sequence of selection flags (if applicable)
*
* @param d_selected_out
* Pointer to the output sequence of selected data items
*
* @param d_num_selected_out
* Pointer to the total number of items selected (i.e., length of `d_selected_out`)
*
* @param select_op
* Selection operator
*
* @param equality_op
* Equality operator
*
* @param num_items
* Total number of input items (i.e., length of `d_in`)
*
* @param stream
* CUDA stream to launch kernels within. Default is stream<sub>0</sub>.
*/
CUB_RUNTIME_FUNCTION __forceinline__ static cudaError_t
Dispatch(void *d_temp_storage,
size_t &temp_storage_bytes,
InputIteratorT d_in,
FlagsInputIteratorT d_flags,
SelectedOutputIteratorT d_selected_out,
NumSelectedIteratorT d_num_selected_out,
SelectOpT select_op,
EqualityOpT equality_op,
OffsetT num_items,
cudaStream_t stream)
{
using MaxPolicyT = typename SelectedPolicy::MaxPolicy;
int ptx_version = 0;
if (cudaError_t error = CubDebug(PtxVersion(ptx_version)))
{
return error;
}
DispatchSelectIf dispatch(d_temp_storage,
temp_storage_bytes,
d_in,
d_flags,
d_selected_out,
d_num_selected_out,
select_op,
equality_op,
num_items,
stream,
ptx_version);
return CubDebug(MaxPolicyT::Invoke(ptx_version, dispatch));
}
CUB_DETAIL_RUNTIME_DEBUG_SYNC_IS_NOT_SUPPORTED
CUB_RUNTIME_FUNCTION __forceinline__
static cudaError_t Dispatch(
void* d_temp_storage,
size_t& temp_storage_bytes,
InputIteratorT d_in,
FlagsInputIteratorT d_flags,
SelectedOutputIteratorT d_selected_out,
NumSelectedIteratorT d_num_selected_out,
SelectOpT select_op,
EqualityOpT equality_op,
OffsetT num_items,
cudaStream_t stream,
bool debug_synchronous)
{
CUB_DETAIL_RUNTIME_DEBUG_SYNC_USAGE_LOG
return Dispatch(d_temp_storage,
temp_storage_bytes,
d_in,
d_flags,
d_selected_out,
d_num_selected_out,
select_op,
equality_op,
num_items,
stream);
}
};
CUB_NAMESPACE_END
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