228 lines
7.9 KiB
C++
228 lines
7.9 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (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 Templates exposing architecture support for multiply-add operations
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*/
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#pragma once
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#include "cutlass/array.h"
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#include "cutlass/numeric_types.h"
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#include "cutlass/functional.h"
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#include "cutlass/gemm/gemm.h"
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#include "cutlass/arch/arch.h"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace arch {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag indicating the operation implied by MMA.
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struct OpMultiplyAdd {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag indicating the result is saturated to MAX_FLOAT|MIN_FLOAT or MAX_INT|MIN_INT
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struct OpMultiplyAddSaturate {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag indicating the input is converted to a narrower type (BF16)
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struct OpMultiplyAddFastBF16 {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag indicating the input is converted to a narrower type (F16)
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struct OpMultiplyAddFastF16 {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag indicating the input is converted to 2 (big and small) TF32 components
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// Perform 3xTF32 or 4xTF32 for every F32 output element
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struct OpMultiplyAddFastF32 {};
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/// Tag indicating the input is converted to 2 (big and small) TF32 components
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// Perform 3xTF32 or 4xTF32 for every complex<F32> output element
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struct OpMultiplyAddComplexFastF32 {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag indicating the complex multiply-add operation
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struct OpMultiplyAddComplex {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag indicating the gaussian complex multiply-add operation
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struct OpMultiplyAddGaussianComplex {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag indicating the inner product is defined by (XOR, POPC)
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struct OpXorPopc {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag classifying math operators as thread-level operations.
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struct OpClassSimt {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag classifing operators as Tensor Core operations.
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struct OpClassTensorOp {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Tag classifing operators as WMMA Tensor Core operations
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struct OpClassWmmaTensorOp {};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation
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template <
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/// Size of the matrix product (concept: GemmShape)
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typename Shape_,
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/// Number of threads participating
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int kThreads_,
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/// Data type of A elements
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typename ElementA,
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/// Layout of A matrix (concept: MatrixLayout)
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typename LayoutA,
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/// Data type of B elements
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typename ElementB,
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/// Layout of B matrix (concept: MatrixLayout)
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typename LayoutB,
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/// Element type of C matrix
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typename ElementC,
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/// Layout of C matrix (concept: MatrixLayout)
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typename LayoutC,
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/// Inner product operator
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typename Operator
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>
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struct Mma;
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation - specialized for 1x1x1x1 matrix multiply operation
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template <
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/// Data type of A elements
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typename ElementA,
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/// Layout of A matrix (concept: MatrixLayout)
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typename LayoutA,
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/// Data type of B elements
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typename ElementB,
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/// Layout of B matrix (concept: MatrixLayout)
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typename LayoutB,
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/// Element type of C matrix
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typename ElementC_,
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/// Layout of C matrix (concept: MatrixLayout)
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typename LayoutC,
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/// Inner product operator
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typename Operator_
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>
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struct Mma<gemm::GemmShape<1, 1, 1>, 1, ElementA, LayoutA, ElementB, LayoutB, ElementC_, LayoutC, Operator_> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = Operator_;
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using ElementC = ElementC_;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<ElementC, 1> &d,
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Array<ElementA, 1> const &a,
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Array<ElementB, 1> const &b,
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Array<ElementC, 1> const &c
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) {
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multiply_add<ElementA, ElementB, ElementC> op;
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d[0] = op(a[0], b[0], c[0]);
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Specifies internal data type for computation
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struct SPFormatType {
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enum Kind {
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Thread
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};
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation
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template <
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/// Size of the matrix product (concept: GemmShape)
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typename Shape_,
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/// Number of threads participating
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int kThreads_,
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/// Data type of A elements
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typename ElementA,
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/// Layout of A matrix (concept: MatrixLayout)
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typename LayoutA,
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/// Data type of B elements
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typename ElementB,
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/// Layout of B matrix (concept: MatrixLayout)
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typename LayoutB,
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/// Element type of C matrix
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typename ElementC,
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/// Layout of C matrix (concept: MatrixLayout)
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typename LayoutC,
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/// Inner product operator
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typename Operator,
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/// Specifies meta data format
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SPFormatType::Kind SPFormat = SPFormatType::Thread
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>
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struct SparseMma;
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} // namespace arch
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} // namespace cutlass
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/////////////////////////////////////////////////////////////////////////////////////////////////
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//
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// Specializations for each compute capability
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//
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#include "cutlass/arch/mma_sm50.h"
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#include "cutlass/arch/mma_sm60.h"
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#include "cutlass/arch/mma_sm61.h"
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#include "cutlass/arch/mma_sm70.h"
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#include "cutlass/arch/mma_sm75.h"
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#include "cutlass/arch/mma_sm80.h"
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#include "cutlass/arch/mma_sparse_sm80.h"
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#include "cutlass/arch/mma_sm90.h"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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