96 lines
4.5 KiB
C++
96 lines
4.5 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017-2018, 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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/*! \file
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\brief Implements tile iterators to partition the thread block tile into 2D subtiles and
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efficiently load each. Applies permute transformation to construct 'interleaved K-strided'
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data layout in which 4-element dot products from the same K index are arranged in consecutive
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locations within shared memory.
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Supports efficient loads from shared memory to target the DP4A instruction.
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*/
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#pragma once
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#include <cutlass/coord.h>
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#include <cutlass/gemm/gemm_global_tile.h>
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#include <cutlass/matrix_traits.h>
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namespace cutlass {
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namespace gemm {
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <GemmOperand::Kind kOperand_,
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MatrixLayout::Kind kLayout_,
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typename Scalar_,
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typename Tile_,
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typename Threads_,
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int kAccessSize_>
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struct IgemmContiguousGlobalTileTraits : public GemmGlobalTileTraits<
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// Which GEMM operand?
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kOperand_,
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// The layout.
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kLayout_,
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// The scalar.
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Scalar_,
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// The tile.
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Tile_,
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// The threads.
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Threads_,
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// The number of scalars per LDG/STG.
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kAccessSize_> {
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/// The base class.
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typedef GemmGlobalTileTraits<kOperand_, kLayout_, Scalar_, Tile_, Threads_, kAccessSize_> Base;
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/// The threads.
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typedef typename Base::Threads Threads;
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/// The strides in each dimension between different loads/stores.
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typedef Shape<Base::Threads::kH * 4, 1, Base::Threads::kW, Base::kAccessSize> Delta;
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/// The number of iterations needed to load/store the tile.
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typedef Shape<Base::Tile::kH / Base::Threads::kH / 4,
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4,
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Base::Tile::kW / Base::Threads::kW,
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Base::Tile::kC / Base::kAccessSize>
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Iterations;
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/// Computes the thread offset in (H, W) based on thread ID
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struct ThreadOffset {
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CUTLASS_HOST_DEVICE
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Coord<4> operator()() const {
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int thread_offset_h = threadIdx.x / Threads::kW * ThreadsDelta::kH;
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int thread_offset_w = threadIdx.x % Threads::kW * ThreadsDelta::kW;
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return make_Coord(0, thread_offset_h, thread_offset_w, 0);
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}
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};
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public:
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/// The threads strides.
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typedef Shape<1, 4, Base::Tile::kC> ThreadsDelta;
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};
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////////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace gemm
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} // namespace cutlass
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