66d9cddc83
* New updates. * Minor profiler updates Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
490 lines
12 KiB
Plaintext
490 lines
12 KiB
Plaintext
/***************************************************************************************************
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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 Unit tests for thread-level GEMM
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*/
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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/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 half precision tests
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//
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/////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SM60_Epilogue_threadblock_epilogue, simt_f16_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 Element = cutlass::half_t;
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using ElementOutput = cutlass::half_t;
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using ElementAccumulator = cutlass::half_t;
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using ElementCompute = cutlass::half_t;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<32, 64, 8>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;
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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 ElementOutput = Element;
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using ElementAccumulator = Element;
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using ElementCompute = Element;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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Element,
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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(SM60_Epilogue_threadblock_epilogue, simt_f16_64x64_64x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using Element = cutlass::half_t;
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using ElementOutput = cutlass::half_t;
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using ElementAccumulator = cutlass::half_t;
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using ElementCompute = cutlass::half_t;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<64, 64, 8>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
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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 ElementOutput = Element;
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using ElementAccumulator = Element;
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using ElementCompute = Element;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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Element,
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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<8, 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(SM60_Epilogue_threadblock_epilogue, simt_f16_64x128_64x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using Element = cutlass::half_t;
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using ElementOutput = cutlass::half_t;
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using ElementAccumulator = cutlass::half_t;
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using ElementCompute = cutlass::half_t;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<64, 128, 8>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
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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 ElementOutput = Element;
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using ElementAccumulator = Element;
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using ElementCompute = Element;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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Element,
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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<8, 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(SM60_Epilogue_threadblock_epilogue, simt_f16_128x128_64x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using Element = cutlass::half_t;
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using ElementOutput = cutlass::half_t;
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using ElementAccumulator = cutlass::half_t;
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using ElementCompute = cutlass::half_t;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<128, 128, 8>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
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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 ElementOutput = Element;
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using ElementAccumulator = Element;
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using ElementCompute = Element;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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Element,
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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<8, 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(SM60_Epilogue_threadblock_epilogue, simt_f16_128x256_64x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using Element = cutlass::half_t;
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using ElementOutput = cutlass::half_t;
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using ElementAccumulator = cutlass::half_t;
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using ElementCompute = cutlass::half_t;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<128, 256, 8>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
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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 ElementOutput = Element;
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using ElementAccumulator = Element;
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using ElementCompute = Element;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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Element,
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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<8, 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(SM60_Epilogue_threadblock_epilogue, simt_f16_256x128_64x64x8) {
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//
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// Define the warp-level matrix multiply
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//
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using Element = cutlass::half_t;
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using ElementOutput = cutlass::half_t;
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using ElementAccumulator = cutlass::half_t;
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using ElementCompute = cutlass::half_t;
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int const kElementsPerAccess = 1;
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using Shape = cutlass::gemm::GemmShape<256, 128, 8>;
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
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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 ElementOutput = Element;
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using ElementAccumulator = Element;
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using ElementCompute = Element;
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using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
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WarpShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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Element,
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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<8, 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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