570 lines
21 KiB
Plaintext
570 lines
21 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017 - 2024 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 Unit tests for threadblock-level GEMM
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*/
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#include "mma_pipelined_testbed.h"
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#if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_congruous, tensor_op_64x64x16_64x64x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::RowMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(64, 64, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 1, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_congruous, tensor_op_128x64x16_64x32x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::RowMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(128, 64, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 16>;
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using WarpShape = cutlass::gemm::GemmShape<64, 32, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_congruous, tensor_op_64x128x16_32x64x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::RowMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(64, 128, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 16>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_congruous, tensor_op_128x128x16_64x64x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::RowMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(128, 128, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 16>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_congruous,
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multicta_256x256x96_128x128x16_64x64x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::RowMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(256, 256, 96);
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using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 16>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(2, 2);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_congruous,
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multicta_512x256x192_256x128x16_64x64x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::RowMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(512, 256, 192);
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using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 16>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(2, 2);
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dim3 block(32, 8, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_crosswise, tensor_op_64x64x16_64x64x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::RowMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::ColumnMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(64, 64, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 1, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_crosswise, tensor_op_32x32x16_16x16x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::RowMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::ColumnMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(32, 32, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<32, 32, 16>;
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using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_crosswise, tensor_op_32x64x16_16x32x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::RowMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::ColumnMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(32, 64, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<32, 64, 16>;
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using WarpShape = cutlass::gemm::GemmShape<16, 32, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_crosswise, tensor_op_64x32x16_32x16x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::RowMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::ColumnMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(64, 32, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<64, 32, 16>;
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using WarpShape = cutlass::gemm::GemmShape<32, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC,
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cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_crosswise, tensor_op_64x64x16_32x32x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::RowMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::ColumnMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(64, 64, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using WarpShape = cutlass::gemm::GemmShape<32, 32, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_crosswise, tensor_op_128x64x16_64x32x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::RowMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::ColumnMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(128, 64, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 16>;
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using WarpShape = cutlass::gemm::GemmShape<64, 32, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
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problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_gemm_threadblock_crosswise, tensor_op_64x128x16_32x64x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::RowMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::ColumnMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(64, 128, 64);
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using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 16>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
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float alpha = 1.f;
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float beta = 0.0f;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp>;
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|
|
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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|
|
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test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
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}
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|
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////////////////////////////////////////////////////////////////////////////////
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|
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TEST(SM80_gemm_threadblock_crosswise, tensor_op_128x128x16_64x64x16_16x8x4) {
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using ElementA = cutlass::tfloat32_t;
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using LayoutA = cutlass::layout::RowMajor;
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using ElementB = cutlass::tfloat32_t;
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using LayoutB = cutlass::layout::ColumnMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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|
|
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cutlass::gemm::GemmCoord problem_size(128, 128, 48);
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|
|
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using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 16>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM80_gemm_threadblock_crosswise,
|
|
multicta_256x256x48_128x128x16_64x64x16_16x8x4) {
|
|
using ElementA = cutlass::tfloat32_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using ElementB = cutlass::tfloat32_t;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(256, 256, 48);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 16>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(2, 2);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM80_gemm_threadblock_crosswise,
|
|
multicta_512x256x192_256x128x16_64x64x16_16x8x4) {
|
|
using ElementA = cutlass::tfloat32_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using ElementB = cutlass::tfloat32_t;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(512, 256, 192);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 16>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(2, 2);
|
|
dim3 block(32, 8, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#endif // if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
|
|
|
|
|