6615010cd0
CUTLASS 2.4 (Implicit GEMM Convolution) Co-authored-by: Manish Gupta <manigupta@nvidia.com>, Haicheng Wu <haichengw@nvidia.com>, Dustyn Blasig <dblasig@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
255 lines
7.6 KiB
Plaintext
255 lines
7.6 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017-2020, 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 Tests for device-wide GEMM interface
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*/
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#include <iostream>
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#include "../../common/cutlass_unit_test.h"
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#include "cutlass/cutlass.h"
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#include "cutlass/gemm/device/gemm.h"
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#include "cutlass/util/host_tensor.h"
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#include "cutlass/util/reference/host/gemm.h"
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#include "cutlass/util/reference/host/tensor_compare.h"
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#include "cutlass/util/reference/host/tensor_copy.h"
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#include "cutlass/util/reference/host/tensor_fill.h"
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#include "cutlass/util/tensor_view_io.h"
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#include "testbed.h"
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#if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_Device_Gemm_f32n_f32t_f32t_simt_f32, 32x64x8_32x64x1) {
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using Element = float;
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using Gemm = cutlass::gemm::device::Gemm<
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Element,
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cutlass::layout::ColumnMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::arch::OpClassSimt,
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cutlass::arch::Sm80,
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cutlass::gemm::GemmShape<32, 64, 8>,
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cutlass::gemm::GemmShape<32, 64, 8>,
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cutlass::gemm::GemmShape<1, 1, 1>,
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cutlass::epilogue::thread::LinearCombination<
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Element,
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1,
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Element,
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Element>,
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cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
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4
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>;
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EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
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}
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TEST(SM80_Device_Gemm_f32n_f32t_f32t_simt_f32, 64x64x8_32x64x1) {
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using Element = float;
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using Gemm = cutlass::gemm::device::Gemm<
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Element,
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cutlass::layout::ColumnMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::arch::OpClassSimt,
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cutlass::arch::Sm80,
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cutlass::gemm::GemmShape<64, 64, 8>,
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cutlass::gemm::GemmShape<32, 64, 8>,
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cutlass::gemm::GemmShape<1, 1, 1>,
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cutlass::epilogue::thread::LinearCombination<
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Element,
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1,
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Element,
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Element>,
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cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
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3
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>;
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EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
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}
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TEST(SM80_Device_Gemm_f32n_f32t_f32t_simt_f32, 128x128x8_32x64x1) {
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using Element = float;
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using Gemm = cutlass::gemm::device::Gemm<
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Element,
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cutlass::layout::ColumnMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::arch::OpClassSimt,
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cutlass::arch::Sm80,
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cutlass::gemm::GemmShape<128, 128, 8>,
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cutlass::gemm::GemmShape<32, 64, 8>,
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cutlass::gemm::GemmShape<1, 1, 1>,
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cutlass::epilogue::thread::LinearCombination<
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Element,
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1,
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Element,
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Element>,
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cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
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3
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>;
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EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
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}
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TEST(SM80_Device_Gemm_f32n_f32t_f32t_simt_f32, 64x128x8_32x64x1) {
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using Element = float;
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using Gemm = cutlass::gemm::device::Gemm<
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Element,
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cutlass::layout::ColumnMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::arch::OpClassSimt,
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cutlass::arch::Sm80,
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cutlass::gemm::GemmShape<64, 128, 8>,
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cutlass::gemm::GemmShape<32, 64, 8>,
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cutlass::gemm::GemmShape<1, 1, 1>,
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cutlass::epilogue::thread::LinearCombination<
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Element,
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1,
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Element,
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Element>,
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cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
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3
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>;
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EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
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}
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TEST(SM80_Device_Gemm_f32n_f32t_f32t_simt_f32, 128x64x8_32x64x1) {
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using Element = float;
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using Gemm = cutlass::gemm::device::Gemm<
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Element,
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cutlass::layout::ColumnMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::arch::OpClassSimt,
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cutlass::arch::Sm80,
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cutlass::gemm::GemmShape<128, 64, 8>,
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cutlass::gemm::GemmShape<64, 32, 8>,
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cutlass::gemm::GemmShape<1, 1, 1>,
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cutlass::epilogue::thread::LinearCombination<
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Element,
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1,
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Element,
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Element>,
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cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
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3
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>;
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EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
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}
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TEST(SM80_Device_Gemm_f32n_f32t_f32t_simt_f32, 128x128x8_64x64x1) {
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using Element = float;
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using Gemm = cutlass::gemm::device::Gemm<
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Element,
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cutlass::layout::ColumnMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::arch::OpClassSimt,
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cutlass::arch::Sm80,
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cutlass::gemm::GemmShape<128, 128, 8>,
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cutlass::gemm::GemmShape<64, 64, 8>,
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cutlass::gemm::GemmShape<1, 1, 1>,
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cutlass::epilogue::thread::LinearCombination<
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Element,
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1,
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Element,
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Element>,
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cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
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3
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>;
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EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
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}
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TEST(SM80_Device_Gemm_f32n_f32t_f32t_simt_f32, 128x256x8_64x64x1) {
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using Element = float;
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using Gemm = cutlass::gemm::device::Gemm<
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Element,
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cutlass::layout::ColumnMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::layout::RowMajor,
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Element,
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cutlass::arch::OpClassSimt,
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cutlass::arch::Sm80,
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cutlass::gemm::GemmShape<128, 256, 8>,
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cutlass::gemm::GemmShape<64, 64, 8>,
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cutlass::gemm::GemmShape<1, 1, 1>,
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cutlass::epilogue::thread::LinearCombination<
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Element,
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1,
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Element,
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Element>,
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cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
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3
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>;
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EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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#endif // #if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
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/////////////////////////////////////////////////////////////////////////////////////////////////
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