Alien-XGBoost
view release on metacpan or search on metacpan
xgboost/cub/cub/device/dispatch/dispatch_spmv_csrt.cuh view on Meta::CPAN
/******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2016, 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::DeviceSpmv provides device-wide parallel operations for performing sparse-matrix * vector multiplication (SpMV).
*/
#pragma once
#include <stdio.h>
#include <iterator>
#include "dispatch_scan.cuh"
#include "../../agent/agent_spmv_orig.cuh"
#include "../../util_type.cuh"
#include "../../util_debug.cuh"
#include "../../util_device.cuh"
#include "../../util_namespace.cuh"
/// Optional outer namespace(s)
CUB_NS_PREFIX
/// CUB namespace
namespace cub {
/******************************************************************************
* SpMV kernel entry points
*****************************************************************************/
/**
* Spmv agent entry point
*/
template <
typename SpmvPolicyT, ///< Parameterized SpmvPolicy tuning policy type
typename ValueT, ///< Matrix and vector value type
typename OffsetT, ///< Signed integer type for sequence offsets
bool HAS_ALPHA, ///< Whether the input parameter Alpha is 1
bool HAS_BETA> ///< Whether the input parameter Beta is 0
__launch_bounds__ (int(SpmvPolicyT::BLOCK_THREADS))
__global__ void DeviceSpmvKernel(
SpmvParams<ValueT, OffsetT> spmv_params, ///< [in] SpMV input parameter bundle
int merge_items_per_block, ///< [in] Number of merge tiles per block
KeyValuePair<OffsetT,ValueT>* d_tile_carry_pairs) ///< [out] Pointer to the temporary array carry-out dot product row-ids, one per block
{
// Spmv agent type specialization
typedef AgentSpmv<
SpmvPolicyT,
ValueT,
OffsetT,
HAS_ALPHA,
HAS_BETA>
AgentSpmvT;
// Shared memory for AgentSpmv
__shared__ typename AgentSpmvT::TempStorage temp_storage;
AgentSpmvT(temp_storage, spmv_params).ConsumeTile(
merge_items_per_block, d_tile_carry_pairs);
}
/******************************************************************************
* Dispatch
******************************************************************************/
/**
* Utility class for dispatching the appropriately-tuned kernels for DeviceSpmv
*/
template <
typename ValueT, ///< Matrix and vector value type
typename OffsetT> ///< Signed integer type for global offsets
struct DispatchSpmv
{
//---------------------------------------------------------------------
// Constants and Types
xgboost/cub/cub/device/dispatch/dispatch_spmv_csrt.cuh view on Meta::CPAN
else if (ptx_version >= 350)
{
spmv_config.template Init<typename Policy350::SpmvPolicyT>();
}
else if (ptx_version >= 300)
{
spmv_config.template Init<typename Policy300::SpmvPolicyT>();
}
else if (ptx_version >= 200)
{
spmv_config.template Init<typename Policy200::SpmvPolicyT>();
}
else
{
spmv_config.template Init<typename Policy110::SpmvPolicyT>();
}
#endif
}
/**
* Kernel kernel dispatch configuration.
*/
struct KernelConfig
{
int block_threads;
int items_per_thread;
int tile_items;
template <typename PolicyT>
CUB_RUNTIME_FUNCTION __forceinline__
void Init()
{
block_threads = PolicyT::BLOCK_THREADS;
items_per_thread = PolicyT::ITEMS_PER_THREAD;
tile_items = block_threads * items_per_thread;
}
};
//---------------------------------------------------------------------
// Dispatch entrypoints
//---------------------------------------------------------------------
/**
* Internal dispatch routine for computing a device-wide reduction using the
* specified kernel functions.
*
* If the input is larger than a single tile, this method uses two-passes of
* kernel invocations.
*/
template <
typename SpmvKernelT> ///< Function type of cub::AgentSpmvKernel
CUB_RUNTIME_FUNCTION __forceinline__
static cudaError_t Dispatch(
void* d_temp_storage, ///< [in] %Device-accessible allocation of temporary storage. When NULL, the required allocation size is written to \p temp_storage_bytes and no work is done.
size_t& temp_storage_bytes, ///< [in,out] Reference to size in bytes of \p d_temp_storage allocation
SpmvParamsT& spmv_params, ///< SpMV input parameter bundle
cudaStream_t stream, ///< [in] CUDA stream to launch kernels within. Default is stream<sub>0</sub>.
bool debug_synchronous, ///< [in] Whether or not to synchronize the stream after every kernel launch to check for errors. Also causes launch configurations to be printed to the console. Default is \p fals...
SpmvKernelT spmv_kernel, ///< [in] Kernel function pointer to parameterization of AgentSpmvKernel
KernelConfig spmv_config) ///< [in] Dispatch parameters that match the policy that \p spmv_kernel was compiled for
{
#ifndef CUB_RUNTIME_ENABLED
// Kernel launch not supported from this device
return CubDebug(cudaErrorNotSupported );
#else
cudaError error = cudaSuccess;
do
{
// Get device ordinal
int device_ordinal;
if (CubDebug(error = cudaGetDevice(&device_ordinal))) break;
// Get SM count
int sm_count;
if (CubDebug(error = cudaDeviceGetAttribute (&sm_count, cudaDevAttrMultiProcessorCount, device_ordinal))) break;
// Total number of spmv work items
int num_merge_items = spmv_params.num_rows + spmv_params.num_nonzeros;
// Get SM occupancy for kernels
int spmv_sm_occupancy;
if (CubDebug(error = MaxSmOccupancy(
spmv_sm_occupancy,
spmv_kernel,
spmv_config.block_threads))) break;
int spmv_device_occupancy = spmv_sm_occupancy * sm_count;
// Grid dimensions
int spmv_grid_size = CUB_MIN(((num_merge_items + spmv_config.block_threads - 1) / spmv_config.block_threads), spmv_device_occupancy);
// Merge items per block
int merge_items_per_block = (num_merge_items + spmv_grid_size - 1) / spmv_grid_size;
// Get the temporary storage allocation requirements
size_t allocation_sizes[1];
allocation_sizes[0] = spmv_grid_size * sizeof(KeyValuePairT); // bytes needed for block carry-out pairs
// Alias the temporary allocations from 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 == NULL)
{
// Return if the caller is simply requesting the size of the storage allocation
return cudaSuccess;
}
KeyValuePairT* d_tile_carry_pairs = (KeyValuePairT*) allocations[0]; // Agent carry-out pairs
// Log spmv_kernel configuration
if (debug_synchronous) _CubLog("Invoking spmv_kernel<<<%d, %d, 0, %lld>>>(), %d items per thread, %d SM occupancy\n",
spmv_grid_size, spmv_config.block_threads, (long long) stream, spmv_config.items_per_thread, spmv_sm_occupancy);
// Invoke spmv_kernel
spmv_kernel<<<spmv_grid_size, spmv_config.block_threads, 0, stream>>>(
spmv_params,
merge_items_per_block,
d_tile_carry_pairs);
// Check for failure to launch
if (CubDebug(error = cudaPeekAtLastError())) break;
// Sync the stream if specified to flush runtime errors
if (debug_synchronous && (CubDebug(error = SyncStream(stream)))) break;
}
while (0);
return error;
#endif // CUB_RUNTIME_ENABLED
}
/**
* Internal dispatch routine for computing a device-wide reduction
*/
CUB_RUNTIME_FUNCTION __forceinline__
static cudaError_t Dispatch(
void* d_temp_storage, ///< [in] %Device-accessible allocation of temporary storage. When NULL, the required allocation size is written to \p temp_storage_bytes and no work is done.
size_t& temp_storage_bytes, ///< [in,out] Reference to size in bytes of \p d_temp_storage allocation
SpmvParamsT& spmv_params, ///< SpMV input parameter bundle
cudaStream_t stream = 0, ///< [in] <b>[optional]</b> CUDA stream to launch kernels within. Default is stream<sub>0</sub>.
bool debug_synchronous = false) ///< [in] <b>[optional]</b> Whether or not to synchronize the stream after every kernel launch to check for errors. May cause significant slowdown. Default is \p false.
{
cudaError error = cudaSuccess;
do
{
// Get PTX version
int ptx_version;
#if (CUB_PTX_ARCH == 0)
if (CubDebug(error = PtxVersion(ptx_version))) break;
#else
ptx_version = CUB_PTX_ARCH;
#endif
// Get kernel kernel dispatch configurations
KernelConfig spmv_config;
InitConfigs(ptx_version, spmv_config);
if (CubDebug(error = Dispatch(
d_temp_storage,
temp_storage_bytes,
spmv_params,
stream,
debug_synchronous,
DeviceSpmvKernel<PtxSpmvPolicyT, ValueT, OffsetT, false, false>,
spmv_config))) break;
}
while (0);
return error;
}
};
} // CUB namespace
CUB_NS_POSTFIX // Optional outer namespace(s)
( run in 0.438 second using v1.01-cache-2.11-cpan-751830e7986 )