115 lines
5.4 KiB
C++
115 lines
5.4 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017-2021, 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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/***************************************************************************************************
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* Copyright (c) 2021 Iluvatar CoreX. All rights reserved.
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* Copyright Declaration: This software, including all of its code and documentation,
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* except for the third-party software it contains, is a copyrighted work of Shanghai Iluvatar CoreX
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* Semiconductor Co., Ltd. and its affiliates ("Iluvatar CoreX") in accordance with the PRC Copyright
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* Law and relevant international treaties, and all rights contained therein are enjoyed by Iluvatar
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* CoreX. No user of this software shall have any right, ownership or interest in this software and
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* any use of this software shall be in compliance with the terms and conditions of the End User
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* License Agreement.
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**************************************************************************************************/
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/*! \file
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\brief Defines basic properties needed by CTA-level GEMMs assuming expectations about data
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layout of the global memory fragments, data types, and internal tile sizes.
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Partial specializations for threadblock::Mma operations targeting TensorOp instructions.
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*/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/array.h"
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#include "cutlass/numeric_types.h"
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#include "cutlass/matrix_shape.h"
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#include "cutlass/gemm/warp/mma.h"
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#include "cutlass/gemm/threadblock/mma_pipelined.h"
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#include "cutlass/gemm/threadblock/mma_singlestage.h"
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#include "cutlass/gemm/threadblock/mma_preload.h"
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#include "cutlass/arch/cache_operation.h"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace gemm {
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namespace threadblock {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Template defininng default matrix multiply operators inferred from threadblock tile size,
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/// global memory data layout, and target math instruction.
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template <
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/// Shape of threadblock-scoped matrix multiply operator
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typename Shape,
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/// Shape of warp-level matrix multiply operator
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typename WarpShape,
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/// Shape of one matrix production operation (concept: GemmShape)
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typename InstructionShape,
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/// Element data type of A operand
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typename ElementA,
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/// Layout of operand A
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typename LayoutA,
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/// Element data type of B operand
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typename ElementB,
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/// Layout of operand B
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typename LayoutB,
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/// Data type of accumulator
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typename ElementC,
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/// Layout of accumulator
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typename LayoutC,
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/// Indicates type of math operator (arch::OpClassSimt or arch::OpClassTensorOp)
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typename OperatorClass,
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/// Number of stages
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int Stages = 2,
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/// Operation performed by MMA
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typename Operator = cutlass::arch::OpMultiplyAdd,
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/// Store the accumulators in row major or column major. Row major is used
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/// when output layout is interleaved.
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bool AccumulatorsInRowMajor = false,
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/// Cache operation of operand A
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cutlass::arch::CacheOperation::Kind CacheOpA =
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cutlass::arch::CacheOperation::Global,
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/// Cache operation of operand B
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cutlass::arch::CacheOperation::Kind CacheOpB =
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cutlass::arch::CacheOperation::Global,
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/// per-element transformation for elements of A
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ComplexTransform TransformA = ComplexTransform::kNone,
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/// per-element transformation for elements of B
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ComplexTransform TransformB = ComplexTransform::kNone,
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bool IsComplex = false // (is_complex<ElementA>::value || is_complex<ElementB>::value)
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>
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struct DefaultMmaCore;
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/////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace threadblock
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} // namespace gemm
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} // namespace cutlass
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