290 lines
9.0 KiB
Plaintext
290 lines
9.0 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice, this list of
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* conditions and the following disclaimer in the documentation and/or other materials
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* to endorse or promote products derived from this software without specific prior written
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* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR 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/half.h"
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#include "cutlass/gemm/warp/mma_tensor_op_sm70.h"
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#include "cutlass/core_io.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 "cutlass/util/reference/host/tensor_compare.h"
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#include "cutlass/util/reference/host/gemm.h"
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#include "testbed.h"
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#if defined(CUTLASS_ARCH_MMA_SM70_SUPPORTED)
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/////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SM70_warp_gemm_tensor_op_congruous, 128x128x16_64x64x16_16x16x4) {
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using Shape = cutlass::gemm::GemmShape<64, 64, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCongruous<cutlass::sizeof_bits<ElementA>::value>;
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using LayoutB = cutlass::layout::RowMajorVoltaTensorOpMultiplicandBCongruous<cutlass::sizeof_bits<ElementB>::value>;
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using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
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cutlass::arch::Mma<
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cutlass::gemm::GemmShape<16, 16, 4>,
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32,
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ElementA,
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cutlass::layout::ColumnMajor,
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ElementB,
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cutlass::layout::RowMajor,
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ElementC,
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cutlass::layout::RowMajor,
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cutlass::arch::OpMultiplyAdd
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>,
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cutlass::MatrixShape<1, 1>
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>;
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using MmaTensorOp = cutlass::gemm::warp::MmaVoltaTensorOp<
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Shape,
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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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cutlass::layout::RowMajor,
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Policy
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>;
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test::gemm::warp::Testbed<MmaTensorOp, cutlass::gemm::GemmShape<128, 128, 16> >().run();
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}
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TEST(SM70_warp_gemm_tensor_op_congruous, 128x64x4_64x64x4_16x16x4) {
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using Shape = cutlass::gemm::GemmShape<64, 64, 4>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCongruous<cutlass::sizeof_bits<ElementA>::value>;
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using LayoutB = cutlass::layout::RowMajorVoltaTensorOpMultiplicandBCongruous<cutlass::sizeof_bits<ElementB>::value>;
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using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
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cutlass::arch::Mma<
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cutlass::gemm::GemmShape<16, 16, 4>,
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32,
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ElementA,
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cutlass::layout::ColumnMajor,
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ElementB,
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cutlass::layout::RowMajor,
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ElementC,
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cutlass::layout::RowMajor,
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cutlass::arch::OpMultiplyAdd
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>,
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cutlass::MatrixShape<1, 1>
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>;
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using MmaTensorOp = cutlass::gemm::warp::MmaVoltaTensorOp<
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Shape,
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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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cutlass::layout::RowMajor,
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Policy
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>;
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test::gemm::warp::Testbed<MmaTensorOp, cutlass::gemm::GemmShape<128, 64, 4> >().run();
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}
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TEST(SM70_warp_gemm_tensor_op_congruous, 128x128x4_32x32x4_16x16x4) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCongruous<cutlass::sizeof_bits<ElementA>::value>;
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using LayoutB = cutlass::layout::RowMajorVoltaTensorOpMultiplicandBCongruous<cutlass::sizeof_bits<ElementB>::value>;
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using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
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cutlass::arch::Mma<
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cutlass::gemm::GemmShape<16, 16, 4>,
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32,
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ElementA,
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cutlass::layout::ColumnMajor,
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ElementB,
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cutlass::layout::RowMajor,
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ElementC,
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cutlass::layout::RowMajor,
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cutlass::arch::OpMultiplyAdd
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>,
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cutlass::MatrixShape<1, 1>
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>;
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using MmaTensorOp = cutlass::gemm::warp::MmaVoltaTensorOp<
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Shape,
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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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cutlass::layout::RowMajor,
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Policy
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>;
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test::gemm::warp::Testbed<MmaTensorOp, cutlass::gemm::GemmShape<128, 128, 4> >().run();
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}
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TEST(SM70_warp_gemm_tensor_op_crosswise, 64x64x32_64x64x32_16x16x4) {
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using Shape = cutlass::gemm::GemmShape<64, 64, 32>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajorVoltaTensorOpMultiplicandCrosswise<
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cutlass::sizeof_bits<ElementA>::value, 32>;
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using LayoutB = cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise<
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cutlass::sizeof_bits<ElementB>::value, 32>;
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using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
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cutlass::arch::Mma<
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cutlass::gemm::GemmShape<16, 16, 4>,
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32,
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ElementA,
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cutlass::layout::RowMajor,
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ElementB,
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cutlass::layout::ColumnMajor,
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ElementC,
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cutlass::layout::RowMajor,
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cutlass::arch::OpMultiplyAdd
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>,
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cutlass::MatrixShape<1, 1>
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>;
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using MmaTensorOp = cutlass::gemm::warp::MmaVoltaTensorOp<
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Shape,
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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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cutlass::layout::RowMajor,
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Policy
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>;
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test::gemm::warp::Testbed<MmaTensorOp, cutlass::gemm::GemmShape<64, 64, 32> >().run();
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM70_warp_gemm_volta_tensor_op_canonical_f32_row_col, 64x64x16_64x64x4_8x8x4) {
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using Shape = cutlass::gemm::GemmShape<64, 64, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = float;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
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cutlass::arch::Mma<
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cutlass::gemm::GemmShape<16, 16, 4>,
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32,
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ElementA,
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cutlass::layout::RowMajor,
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ElementB,
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cutlass::layout::ColumnMajor,
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ElementC,
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cutlass::layout::RowMajor,
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cutlass::arch::OpMultiplyAdd
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>,
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cutlass::MatrixShape<1, 1>
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>;
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using MmaTensorOp = cutlass::gemm::warp::MmaVoltaTensorOp<
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Shape,
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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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cutlass::layout::RowMajor,
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Policy
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>;
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test::gemm::warp::Testbed<MmaTensorOp,
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cutlass::gemm::GemmShape<64, 64, 16> >()
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.run();
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}
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TEST(SM70_warp_gemm_volta_tensor_op_canonical_f32_col_row, 64x64x16_64x64x4_8x8x4) {
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using Shape = cutlass::gemm::GemmShape<64, 64, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = float;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
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cutlass::arch::Mma<
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cutlass::gemm::GemmShape<16, 16, 4>,
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32,
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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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cutlass::layout::RowMajor,
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cutlass::arch::OpMultiplyAdd
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>,
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cutlass::MatrixShape<1, 1>
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>;
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using MmaTensorOp = cutlass::gemm::warp::MmaVoltaTensorOp<
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Shape,
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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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cutlass::layout::RowMajor,
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Policy
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>;
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test::gemm::warp::Testbed<MmaTensorOp,
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cutlass::gemm::GemmShape<64, 64, 16> >()
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.run();
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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#endif // CUTLASS_ARCH_MMA_SM70_SUPPORTED
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