fb335f6a5f
CUTLASS 2.0 Substantially refactored for - Better performance, particularly for native Turing Tensor Cores - Robust and durable templates spanning the design space - Encapsulated functionality embodying modern C++11 programming techniques - Optimized containers and data types for efficient, generic, portable device code Updates to: - Quick start guide - Documentation - Utilities - CUTLASS Profiler Native Turing Tensor Cores - Efficient GEMM kernels targeting Turing Tensor Cores - Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands Coverage of existing CUTLASS functionality: - GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs - Volta Tensor Cores through native mma.sync and through WMMA API - Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions - Batched GEMM operations - Complex-valued GEMMs Note: this commit and all that follow require a host compiler supporting C++11 or greater.
1117 lines
25 KiB
Plaintext
1117 lines
25 KiB
Plaintext
/***************************************************************************************************
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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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/*! \file
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\brief Unit tests for thread-level GEMM
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*/
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#include <fstream>
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#include "../../common/cutlass_unit_test.h"
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#include "cutlass/aligned_buffer.h"
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#include "cutlass/gemm/warp/mma_simt.h"
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#include "cutlass/gemm/warp/mma_simt_policy.h"
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#include "cutlass/epilogue/thread/linear_combination.h"
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#include "cutlass/epilogue/thread/linear_combination_clamp.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
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#include "cutlass/util/host_tensor.h"
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#include "cutlass/util/tensor_view_io.h"
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#include "cutlass/util/reference/host/tensor_fill.h"
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#include "testbed.h"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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//
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// Real-valued Integer tests
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//
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/////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_32x64_32x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using ElementA = int8_t;
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using ElementB = int8_t;
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using ElementC = int;
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using ElementOutput = int;
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using ElementAccumulator = int;
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using ElementCompute = float;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<32, 64, 32>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
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using ElementC = ElementAccumulator;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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cutlass::gemm::warp::MmaSimtPolicy<
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cutlass::MatrixShape<4, 8>,
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cutlass::layout::RowMajorInterleaved<2>,
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cutlass::gemm::GemmShape<4, 4, 1>
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>
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>;
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//
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// Output operator
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//
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using OutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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kElementsPerAccess,
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ElementAccumulator,
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ElementCompute
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>;
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//
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// Define the epilogue
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//
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using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
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Shape,
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WarpMmaSimt,
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OutputOp,
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kElementsPerAccess
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>::Epilogue;
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//
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// Instantiate epilogue
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//
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EpilogueTestbed<Epilogue> testbed;
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bool passed = testbed.run_all();
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EXPECT_TRUE(passed);
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}
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TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_32x128_32x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using ElementA = int8_t;
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using ElementB = int8_t;
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using ElementC = int;
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using ElementOutput = int;
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using ElementAccumulator = int;
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using ElementCompute = float;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<32, 128, 32>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
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using ElementC = ElementAccumulator;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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cutlass::gemm::warp::MmaSimtPolicy<
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cutlass::MatrixShape<4, 8>,
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cutlass::layout::RowMajorInterleaved<2>,
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cutlass::gemm::GemmShape<4, 4, 1>
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>
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>;
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//
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// Output operator
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//
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using OutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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kElementsPerAccess,
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ElementAccumulator,
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ElementCompute
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>;
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//
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// Define the epilogue
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//
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using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
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Shape,
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WarpMmaSimt,
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OutputOp,
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kElementsPerAccess
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>::Epilogue;
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//
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// Instantiate epilogue
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//
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EpilogueTestbed<Epilogue> testbed;
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bool passed = testbed.run_all();
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EXPECT_TRUE(passed);
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}
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TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_64x128_32x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using ElementA = int8_t;
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using ElementB = int8_t;
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using ElementC = int;
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using ElementOutput = int;
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using ElementAccumulator = int;
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using ElementCompute = float;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<64, 128, 32>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
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using ElementC = ElementAccumulator;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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cutlass::gemm::warp::MmaSimtPolicy<
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cutlass::MatrixShape<4, 8>,
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cutlass::layout::RowMajorInterleaved<2>,
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cutlass::gemm::GemmShape<4, 4, 1>
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>
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>;
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//
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// Output operator
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//
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using OutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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kElementsPerAccess,
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ElementAccumulator,
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ElementCompute
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>;
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//
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// Define the epilogue
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//
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using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
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Shape,
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WarpMmaSimt,
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OutputOp,
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kElementsPerAccess
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>::Epilogue;
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//
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// Instantiate epilogue
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//
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EpilogueTestbed<Epilogue> testbed;
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bool passed = testbed.run_all();
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EXPECT_TRUE(passed);
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}
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TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_128x128_32x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using ElementA = int8_t;
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using ElementB = int8_t;
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using ElementC = int;
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using ElementOutput = int;
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using ElementAccumulator = int;
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using ElementCompute = float;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<128, 128, 32>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
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using ElementC = ElementAccumulator;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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cutlass::gemm::warp::MmaSimtPolicy<
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cutlass::MatrixShape<4, 8>,
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cutlass::layout::RowMajorInterleaved<2>,
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cutlass::gemm::GemmShape<4, 4, 1>
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>
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>;
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//
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// Output operator
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//
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using OutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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kElementsPerAccess,
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ElementAccumulator,
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ElementCompute
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>;
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//
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// Define the epilogue
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//
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using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
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Shape,
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WarpMmaSimt,
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OutputOp,
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kElementsPerAccess
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>::Epilogue;
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//
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// Instantiate epilogue
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//
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EpilogueTestbed<Epilogue> testbed;
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bool passed = testbed.run_all();
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EXPECT_TRUE(passed);
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}
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TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_128x64_32x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using ElementA = int8_t;
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using ElementB = int8_t;
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using ElementC = int;
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using ElementOutput = int;
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using ElementAccumulator = int;
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using ElementCompute = float;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<128, 64, 32>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
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using ElementC = ElementAccumulator;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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cutlass::gemm::warp::MmaSimtPolicy<
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cutlass::MatrixShape<4, 8>,
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cutlass::layout::RowMajorInterleaved<2>,
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cutlass::gemm::GemmShape<4, 4, 1>
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>
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>;
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//
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// Output operator
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//
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using OutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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kElementsPerAccess,
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ElementAccumulator,
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ElementCompute
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>;
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//
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// Define the epilogue
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//
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using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
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Shape,
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WarpMmaSimt,
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OutputOp,
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kElementsPerAccess
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>::Epilogue;
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//
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// Instantiate epilogue
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//
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EpilogueTestbed<Epilogue> testbed;
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bool passed = testbed.run_all();
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EXPECT_TRUE(passed);
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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//
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// Real-valued Integer - single-precision float output
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//
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/////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_32x64_32x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using ElementA = int8_t;
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using ElementB = int8_t;
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using ElementC = int;
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using ElementOutput = float;
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using ElementAccumulator = int;
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using ElementCompute = float;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<32, 64, 32>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
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using ElementC = ElementAccumulator;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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cutlass::gemm::warp::MmaSimtPolicy<
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cutlass::MatrixShape<4, 8>,
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cutlass::layout::RowMajorInterleaved<2>,
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cutlass::gemm::GemmShape<4, 4, 1>
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>
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>;
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//
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// Output operator
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//
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using OutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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kElementsPerAccess,
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ElementAccumulator,
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ElementCompute
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>;
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//
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// Define the epilogue
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//
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using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
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Shape,
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WarpMmaSimt,
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OutputOp,
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kElementsPerAccess
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>::Epilogue;
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//
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// Instantiate epilogue
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//
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EpilogueTestbed<Epilogue> testbed;
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bool passed = testbed.run_all();
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EXPECT_TRUE(passed);
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}
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TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_32x128_32x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using ElementA = int8_t;
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using ElementB = int8_t;
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using ElementC = int;
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using ElementOutput = float;
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using ElementAccumulator = int;
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using ElementCompute = float;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<32, 128, 32>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
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using ElementC = ElementAccumulator;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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ElementA,
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LayoutA,
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ElementB,
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|
LayoutB,
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|
ElementC,
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|
LayoutC,
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cutlass::gemm::warp::MmaSimtPolicy<
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cutlass::MatrixShape<4, 8>,
|
|
cutlass::layout::RowMajorInterleaved<2>,
|
|
cutlass::gemm::GemmShape<4, 4, 1>
|
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>
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|
>;
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|
//
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// Output operator
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//
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using OutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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kElementsPerAccess,
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|
ElementAccumulator,
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|
ElementCompute
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|
>;
|
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|
|
//
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|
// Define the epilogue
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|
//
|
|
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|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
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|
Shape,
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|
WarpMmaSimt,
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|
OutputOp,
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|
kElementsPerAccess
|
|
>::Epilogue;
|
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|
|
//
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|
// Instantiate epilogue
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|
//
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|
EpilogueTestbed<Epilogue> testbed;
|
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|
bool passed = testbed.run_all();
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EXPECT_TRUE(passed);
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|
}
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|
|
TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_64x128_32x64x8) {
|
|
|
|
//
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|
// Define the warp-level matrix multiply
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|
//
|
|
|
|
using ElementA = int8_t;
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|
using ElementB = int8_t;
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|
using ElementC = int;
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|
using ElementOutput = float;
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|
using ElementAccumulator = int;
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using ElementCompute = float;
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|
|
|
int const kElementsPerAccess = 1;
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|
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using Shape = cutlass::gemm::GemmShape<64, 128, 32>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using ElementC = ElementAccumulator;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
|
|
WarpShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
cutlass::gemm::warp::MmaSimtPolicy<
|
|
cutlass::MatrixShape<4, 8>,
|
|
cutlass::layout::RowMajorInterleaved<2>,
|
|
cutlass::gemm::GemmShape<4, 4, 1>
|
|
>
|
|
>;
|
|
|
|
//
|
|
// Output operator
|
|
//
|
|
|
|
using OutputOp = cutlass::epilogue::thread::LinearCombination<
|
|
ElementOutput,
|
|
kElementsPerAccess,
|
|
ElementAccumulator,
|
|
ElementCompute
|
|
>;
|
|
|
|
//
|
|
// Define the epilogue
|
|
//
|
|
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
Shape,
|
|
WarpMmaSimt,
|
|
OutputOp,
|
|
kElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
//
|
|
// Instantiate epilogue
|
|
//
|
|
|
|
EpilogueTestbed<Epilogue> testbed;
|
|
|
|
bool passed = testbed.run_all();
|
|
|
|
EXPECT_TRUE(passed);
|
|
}
|
|
|
|
TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_128x128_32x64x8) {
|
|
|
|
//
|
|
// Define the warp-level matrix multiply
|
|
//
|
|
|
|
using ElementA = int8_t;
|
|
using ElementB = int8_t;
|
|
using ElementC = int;
|
|
using ElementOutput = float;
|
|
using ElementAccumulator = int;
|
|
using ElementCompute = float;
|
|
|
|
int const kElementsPerAccess = 1;
|
|
|
|
using Shape = cutlass::gemm::GemmShape<128, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using ElementC = ElementAccumulator;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
|
|
WarpShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
cutlass::gemm::warp::MmaSimtPolicy<
|
|
cutlass::MatrixShape<4, 8>,
|
|
cutlass::layout::RowMajorInterleaved<2>,
|
|
cutlass::gemm::GemmShape<4, 4, 1>
|
|
>
|
|
>;
|
|
|
|
//
|
|
// Output operator
|
|
//
|
|
|
|
using OutputOp = cutlass::epilogue::thread::LinearCombination<
|
|
ElementOutput,
|
|
kElementsPerAccess,
|
|
ElementAccumulator,
|
|
ElementCompute
|
|
>;
|
|
|
|
//
|
|
// Define the epilogue
|
|
//
|
|
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
Shape,
|
|
WarpMmaSimt,
|
|
OutputOp,
|
|
kElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
//
|
|
// Instantiate epilogue
|
|
//
|
|
|
|
EpilogueTestbed<Epilogue> testbed;
|
|
|
|
bool passed = testbed.run_all();
|
|
|
|
EXPECT_TRUE(passed);
|
|
}
|
|
|
|
TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_128x64_32x64x8) {
|
|
|
|
//
|
|
// Define the warp-level matrix multiply
|
|
//
|
|
|
|
using ElementA = int8_t;
|
|
using ElementB = int8_t;
|
|
using ElementC = int;
|
|
using ElementOutput = float;
|
|
using ElementAccumulator = int;
|
|
using ElementCompute = float;
|
|
|
|
int const kElementsPerAccess = 1;
|
|
|
|
using Shape = cutlass::gemm::GemmShape<128, 64, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using ElementC = ElementAccumulator;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
|
|
WarpShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
cutlass::gemm::warp::MmaSimtPolicy<
|
|
cutlass::MatrixShape<4, 8>,
|
|
cutlass::layout::RowMajorInterleaved<2>,
|
|
cutlass::gemm::GemmShape<4, 4, 1>
|
|
>
|
|
>;
|
|
|
|
//
|
|
// Output operator
|
|
//
|
|
|
|
using OutputOp = cutlass::epilogue::thread::LinearCombination<
|
|
ElementOutput,
|
|
kElementsPerAccess,
|
|
ElementAccumulator,
|
|
ElementCompute
|
|
>;
|
|
|
|
//
|
|
// Define the epilogue
|
|
//
|
|
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
Shape,
|
|
WarpMmaSimt,
|
|
OutputOp,
|
|
kElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
//
|
|
// Instantiate epilogue
|
|
//
|
|
|
|
EpilogueTestbed<Epilogue> testbed;
|
|
|
|
bool passed = testbed.run_all();
|
|
|
|
EXPECT_TRUE(passed);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// Real-valued Integer tests - mixed-precision with clamping
|
|
//
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_32x64_32x64x8) {
|
|
|
|
//
|
|
// Define the warp-level matrix multiply
|
|
//
|
|
|
|
using ElementA = int8_t;
|
|
using ElementB = int8_t;
|
|
using ElementC = int;
|
|
using ElementOutput = int8_t;
|
|
using ElementAccumulator = int;
|
|
using ElementCompute = float;
|
|
|
|
int const kElementsPerAccess = 1;
|
|
|
|
using Shape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using ElementC = ElementAccumulator;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
|
|
WarpShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
cutlass::gemm::warp::MmaSimtPolicy<
|
|
cutlass::MatrixShape<4, 8>,
|
|
cutlass::layout::RowMajorInterleaved<2>,
|
|
cutlass::gemm::GemmShape<4, 4, 1>
|
|
>
|
|
>;
|
|
|
|
//
|
|
// Output operator
|
|
//
|
|
|
|
using OutputOp = cutlass::epilogue::thread::LinearCombinationClamp<
|
|
ElementOutput,
|
|
kElementsPerAccess,
|
|
ElementAccumulator,
|
|
ElementCompute
|
|
>;
|
|
|
|
//
|
|
// Define the epilogue
|
|
//
|
|
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
Shape,
|
|
WarpMmaSimt,
|
|
OutputOp,
|
|
kElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
//
|
|
// Instantiate epilogue
|
|
//
|
|
|
|
EpilogueTestbed<Epilogue> testbed;
|
|
|
|
bool passed = testbed.run_all();
|
|
|
|
EXPECT_TRUE(passed);
|
|
}
|
|
|
|
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_32x128_32x64x8) {
|
|
|
|
//
|
|
// Define the warp-level matrix multiply
|
|
//
|
|
|
|
using ElementA = int8_t;
|
|
using ElementB = int8_t;
|
|
using ElementC = int;
|
|
using ElementOutput = int8_t;
|
|
using ElementAccumulator = int;
|
|
using ElementCompute = float;
|
|
|
|
int const kElementsPerAccess = 1;
|
|
|
|
using Shape = cutlass::gemm::GemmShape<32, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using ElementC = ElementAccumulator;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
|
|
WarpShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
cutlass::gemm::warp::MmaSimtPolicy<
|
|
cutlass::MatrixShape<4, 8>,
|
|
cutlass::layout::RowMajorInterleaved<2>,
|
|
cutlass::gemm::GemmShape<4, 4, 1>
|
|
>
|
|
>;
|
|
|
|
//
|
|
// Output operator
|
|
//
|
|
|
|
using OutputOp = cutlass::epilogue::thread::LinearCombinationClamp<
|
|
ElementOutput,
|
|
kElementsPerAccess,
|
|
ElementAccumulator,
|
|
ElementCompute
|
|
>;
|
|
|
|
//
|
|
// Define the epilogue
|
|
//
|
|
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
Shape,
|
|
WarpMmaSimt,
|
|
OutputOp,
|
|
kElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
//
|
|
// Instantiate epilogue
|
|
//
|
|
|
|
EpilogueTestbed<Epilogue> testbed;
|
|
|
|
bool passed = testbed.run_all();
|
|
|
|
EXPECT_TRUE(passed);
|
|
}
|
|
|
|
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_64x128_32x64x8) {
|
|
|
|
//
|
|
// Define the warp-level matrix multiply
|
|
//
|
|
|
|
using ElementA = int8_t;
|
|
using ElementB = int8_t;
|
|
using ElementC = int;
|
|
using ElementOutput = int8_t;
|
|
using ElementAccumulator = int;
|
|
using ElementCompute = float;
|
|
|
|
int const kElementsPerAccess = 1;
|
|
|
|
using Shape = cutlass::gemm::GemmShape<64, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using ElementC = ElementAccumulator;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
|
|
WarpShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
cutlass::gemm::warp::MmaSimtPolicy<
|
|
cutlass::MatrixShape<4, 8>,
|
|
cutlass::layout::RowMajorInterleaved<2>,
|
|
cutlass::gemm::GemmShape<4, 4, 1>
|
|
>
|
|
>;
|
|
|
|
//
|
|
// Output operator
|
|
//
|
|
|
|
using OutputOp = cutlass::epilogue::thread::LinearCombinationClamp<
|
|
ElementOutput,
|
|
kElementsPerAccess,
|
|
ElementAccumulator,
|
|
ElementCompute
|
|
>;
|
|
|
|
//
|
|
// Define the epilogue
|
|
//
|
|
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
Shape,
|
|
WarpMmaSimt,
|
|
OutputOp,
|
|
kElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
//
|
|
// Instantiate epilogue
|
|
//
|
|
|
|
EpilogueTestbed<Epilogue> testbed;
|
|
|
|
bool passed = testbed.run_all();
|
|
|
|
EXPECT_TRUE(passed);
|
|
}
|
|
|
|
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_128x128_32x64x8) {
|
|
|
|
//
|
|
// Define the warp-level matrix multiply
|
|
//
|
|
|
|
using ElementA = int8_t;
|
|
using ElementB = int8_t;
|
|
using ElementC = int;
|
|
using ElementOutput = int8_t;
|
|
using ElementAccumulator = int;
|
|
using ElementCompute = float;
|
|
|
|
int const kElementsPerAccess = 1;
|
|
|
|
using Shape = cutlass::gemm::GemmShape<128, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using ElementC = ElementAccumulator;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
|
|
WarpShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
cutlass::gemm::warp::MmaSimtPolicy<
|
|
cutlass::MatrixShape<4, 8>,
|
|
cutlass::layout::RowMajorInterleaved<2>,
|
|
cutlass::gemm::GemmShape<4, 4, 1>
|
|
>
|
|
>;
|
|
|
|
//
|
|
// Output operator
|
|
//
|
|
|
|
using OutputOp = cutlass::epilogue::thread::LinearCombinationClamp<
|
|
ElementOutput,
|
|
kElementsPerAccess,
|
|
ElementAccumulator,
|
|
ElementCompute
|
|
>;
|
|
|
|
//
|
|
// Define the epilogue
|
|
//
|
|
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
Shape,
|
|
WarpMmaSimt,
|
|
OutputOp,
|
|
kElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
//
|
|
// Instantiate epilogue
|
|
//
|
|
|
|
EpilogueTestbed<Epilogue> testbed;
|
|
|
|
bool passed = testbed.run_all();
|
|
|
|
EXPECT_TRUE(passed);
|
|
}
|
|
|
|
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_128x64_32x64x8) {
|
|
|
|
//
|
|
// Define the warp-level matrix multiply
|
|
//
|
|
|
|
using ElementA = int8_t;
|
|
using ElementB = int8_t;
|
|
using ElementC = int;
|
|
using ElementOutput = int8_t;
|
|
using ElementAccumulator = int;
|
|
using ElementCompute = float;
|
|
|
|
int const kElementsPerAccess = 1;
|
|
|
|
using Shape = cutlass::gemm::GemmShape<128, 64, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using ElementC = ElementAccumulator;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
|
|
WarpShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
cutlass::gemm::warp::MmaSimtPolicy<
|
|
cutlass::MatrixShape<4, 8>,
|
|
cutlass::layout::RowMajorInterleaved<2>,
|
|
cutlass::gemm::GemmShape<4, 4, 1>
|
|
>
|
|
>;
|
|
|
|
//
|
|
// Output operator
|
|
//
|
|
|
|
using OutputOp = cutlass::epilogue::thread::LinearCombinationClamp<
|
|
ElementOutput,
|
|
kElementsPerAccess,
|
|
ElementAccumulator,
|
|
ElementCompute
|
|
>;
|
|
|
|
//
|
|
// Define the epilogue
|
|
//
|
|
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
Shape,
|
|
WarpMmaSimt,
|
|
OutputOp,
|
|
kElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
//
|
|
// Instantiate epilogue
|
|
//
|
|
|
|
EpilogueTestbed<Epilogue> testbed;
|
|
|
|
bool passed = testbed.run_all();
|
|
|
|
EXPECT_TRUE(passed);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|