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Merge pull request NVIDIA#675 from mfbalin/fancy_device_memcpy
Initial implementation for DeviceCopy::Batched
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/****************************************************************************** | ||
* Copyright (c) 2023, 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. | ||
* | ||
******************************************************************************/ | ||
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/** | ||
* \file | ||
* cub::DeviceCopy provides device-wide, parallel operations for copying data. | ||
*/ | ||
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#pragma once | ||
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#include <cub/config.cuh> | ||
#include <cub/device/dispatch/dispatch_batch_memcpy.cuh> | ||
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#include <thrust/system/cuda/detail/core/triple_chevron_launch.h> | ||
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#include <cstdint> | ||
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CUB_NAMESPACE_BEGIN | ||
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/** | ||
* @brief cub::DeviceCopy provides device-wide, parallel operations for copying data. | ||
* \ingroup SingleModule | ||
*/ | ||
struct DeviceCopy | ||
{ | ||
/** | ||
* @brief Copies data from a batch of given source ranges to their corresponding destination | ||
* ranges. | ||
* @note If any input range aliases any output range the behavior is undefined. If | ||
* any output range aliases another output range the behavior is undefined. Input | ||
* ranges can alias one another. | ||
* | ||
* @par Snippet | ||
* The code snippet below illustrates usage of DeviceCopy::Batched to perform a DeviceRunLength | ||
* Decode operation. | ||
* @par | ||
* @code | ||
* struct GetIteratorToRange | ||
* { | ||
* __host__ __device__ __forceinline__ auto operator()(uint32_t index) | ||
* { | ||
* return thrust::make_constant_iterator(d_data_in[index]); | ||
* } | ||
* int32_t *d_data_in; | ||
* }; | ||
* | ||
* struct GetPtrToRange | ||
* { | ||
* __host__ __device__ __forceinline__ auto operator()(uint32_t index) | ||
* { | ||
* return d_data_out + d_offsets[index]; | ||
* } | ||
* int32_t *d_data_out; | ||
* uint32_t *d_offsets; | ||
* }; | ||
* | ||
* struct GetRunLength | ||
* { | ||
* __host__ __device__ __forceinline__ uint32_t operator()(uint32_t index) | ||
* { | ||
* return d_offsets[index + 1] - d_offsets[index]; | ||
* } | ||
* uint32_t *d_offsets; | ||
* }; | ||
* | ||
* uint32_t num_ranges = 5; | ||
* int32_t *d_data_in; // e.g., [4, 2, 7, 3, 1] | ||
* int32_t *d_data_out; // e.g., [0, ... ] | ||
* uint32_t *d_offsets; // e.g., [0, 2, 5, 6, 9, 14] | ||
* | ||
* // Returns a constant iterator to the element of the i-th run | ||
* thrust::counting_iterator<uint32_t> iota(0); | ||
* auto iterators_in = thrust::make_transform_iterator(iota, GetIteratorToRange{d_data_in}); | ||
* | ||
* // Returns the run length of the i-th run | ||
* auto sizes = thrust::make_transform_iterator(iota, GetRunLength{d_offsets}); | ||
* | ||
* // Returns pointers to the output range for each run | ||
* auto ptrs_out = thrust::make_transform_iterator(iota, GetPtrToRange{d_data_out, d_offsets}); | ||
* | ||
* // Determine temporary device storage requirements | ||
* void *d_temp_storage = nullptr; | ||
* size_t temp_storage_bytes = 0; | ||
* cub::DeviceCopy::Batched(d_temp_storage, temp_storage_bytes, iterators_in, ptrs_out, sizes, | ||
* num_ranges); | ||
* | ||
* // Allocate temporary storage | ||
* cudaMalloc(&d_temp_storage, temp_storage_bytes); | ||
* | ||
* // Run batched copy algorithm (used to perform runlength decoding) | ||
* cub::DeviceCopy::Batched(d_temp_storage, temp_storage_bytes, iterators_in, ptrs_out, sizes, | ||
* num_ranges); | ||
* | ||
* // d_data_out <-- [4, 4, 2, 2, 2, 7, 3, 3, 3, 1, 1, 1, 1, 1] | ||
* @endcode | ||
* @tparam InputIt <b>[inferred]</b> Device-accessible random-access input iterator type | ||
* providing the iterators to the source ranges | ||
* @tparam OutputIt <b>[inferred]</b> Device-accessible random-access input iterator type | ||
* providing the iterators to the destination ranges | ||
* @tparam SizeIteratorT <b>[inferred]</b> Device-accessible random-access input iterator | ||
* type providing the number of items to be copied for each pair of ranges | ||
* @param 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. | ||
* @param temp_storage_bytes [in,out] Reference to size in bytes of \p d_temp_storage allocation | ||
* @param input_it [in] Device-accessible iterator providing the iterators to the source | ||
* ranges | ||
* @param output_it [in] Device-accessible iterator providing the iterators to the | ||
* destination ranges | ||
* @param sizes [in] Device-accessible iterator providing the number of elements to be copied | ||
* for each pair of ranges | ||
* @param num_ranges [in] The total number of range pairs | ||
* @param stream [in] <b>[optional]</b> CUDA stream to launch kernels within. Default is | ||
* stream<sub>0</sub>. | ||
*/ | ||
template <typename InputIt, typename OutputIt, typename SizeIteratorT> | ||
CUB_RUNTIME_FUNCTION static cudaError_t Batched(void *d_temp_storage, | ||
size_t &temp_storage_bytes, | ||
InputIt input_it, | ||
OutputIt output_it, | ||
SizeIteratorT sizes, | ||
uint32_t num_ranges, | ||
cudaStream_t stream = 0) | ||
{ | ||
// Integer type large enough to hold any offset in [0, num_ranges) | ||
using RangeOffsetT = uint32_t; | ||
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// Integer type large enough to hold any offset in [0, num_thread_blocks_launched), where a safe | ||
// uppper bound on num_thread_blocks_launched can be assumed to be given by | ||
// IDIV_CEIL(num_ranges, 64) | ||
using BlockOffsetT = uint32_t; | ||
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return detail::DispatchBatchMemcpy<InputIt, | ||
OutputIt, | ||
SizeIteratorT, | ||
RangeOffsetT, | ||
BlockOffsetT, | ||
detail::DeviceBatchMemcpyPolicy, | ||
false>::Dispatch(d_temp_storage, | ||
temp_storage_bytes, | ||
input_it, | ||
output_it, | ||
sizes, | ||
num_ranges, | ||
stream); | ||
} | ||
}; | ||
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CUB_NAMESPACE_END |
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