877bdcace6
CUTLASS 1.3 Release - Efficient GEMM kernel targeting Volta Tensor Cores via mma.sync instruction added in CUDA 10.1.
103 lines
3.7 KiB
C++
103 lines
3.7 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice, this list of
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* conditions and the following disclaimer in the documentation and/or other materials
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* to endorse or promote products derived from this software without specific prior written
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* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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#pragma once
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#include <stdexcept>
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#include "cutlass/cutlass.h"
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#include "tools/util/reference/device/kernel/tensor_foreach.h"
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namespace cutlass {
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namespace reference {
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namespace host {
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///////////////////////////////////////////////////////////////////////////////////////////////////
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/// Defines several helpers
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namespace detail {
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/// Helper to perform for-each operation
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template <typename Func, int Rank, int RankRemaining>
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struct TensorForEachHelper {
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/// Index of the active rank
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static int const kActiveRank = Rank - RankRemaining - 1;
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/// Constructor for general rank
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TensorForEachHelper(
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Func &func,
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Coord<Rank> const &size,
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Coord<Rank> &coord) {
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for (int i = 0; i < size.at(kActiveRank); ++i) {
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coord[kActiveRank] = i;
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TensorForEachHelper<Func, Rank, RankRemaining - 1>(func, size, coord);
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}
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}
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};
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/// Helper to perform for-each operation
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template <typename Func, int Rank>
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struct TensorForEachHelper<Func, Rank, 0> {
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/// Index of the active rank
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static int const kActiveRank = Rank - 1;
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/// Constructor for fastest chaning rank
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TensorForEachHelper(
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Func &func,
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Coord<Rank> const &size,
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Coord<Rank> &coord) {
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for (int i = 0; i < size.at(kActiveRank); ++i) {
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coord[kActiveRank] = i;
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func(coord);
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}
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}
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};
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} // namespace detail
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///////////////////////////////////////////////////////////////////////////////////////////////////
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/// Iterates over the index space of a tensor
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template <typename Func, int Rank, typename Params>
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struct TensorForEach {
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/// Constructor performs the operation.
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TensorForEach(Coord<Rank> size, Params params = Params()) {
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Func func(params);
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Coord<Rank> coord;
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detail::TensorForEachHelper<Func, Rank, Rank - 1>(func, size, coord);
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}
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};
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///////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace host
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} // namespace reference
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} // namespace cutlass
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