CUTLASS 2.2 (#96)
Adds support for NVIDIA Ampere Architecture features. CUDA 11 Toolkit recommended.
This commit is contained in:
Andrew Kerr
@@ -1,4 +1,4 @@
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# Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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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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@@ -27,6 +27,9 @@ cutlass_test_unit_add_executable(
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gemm_sm61.cu
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gemm_sm70.cu
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gemm_sm75.cu
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gemm_sm80.cu
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gemm_complex_sm80.cu
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gemm_gaussian_complex_sm80.cu
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wmma_sm70.cu
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wmma_sm72.cu
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wmma_sm75.cu
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@@ -0,0 +1,635 @@
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/***************************************************************************************************
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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 Unit tests for thread-level GEMM
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*/
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#include "cutlass/cutlass.h"
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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/default_mma_complex_tensor_op.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_SM80_SUPPORTED)
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////////////////////////////////////////////////////////////////////////////////////////////////////
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// complex<double> * complex<double> => complex<double>
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// Input data type: complex<double>
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// Math instruction: MMA.884.F64.F64
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// Output data type: complex<double>
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///////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_warp_gemm_complex_tensor_op_f64, 8x8x4_8x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<8, 8, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using Element = cutlass::complex<double>;
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using ElementC = cutlass::complex<double>;
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using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
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using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
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Shape,
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InstructionShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor
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>::Type;
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test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<8, 8, 4> >().run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f64, 16x16x4_8x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<16, 16, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using Element = cutlass::complex<double>;
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using ElementC = cutlass::complex<double>;
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using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
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using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
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Shape,
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InstructionShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor
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>::Type;
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test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 4> >().run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f64, 16x32x4_8x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<16, 32, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using Element = cutlass::complex<double>;
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using ElementC = cutlass::complex<double>;
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using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
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using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
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Shape,
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InstructionShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor
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>::Type;
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test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<16, 32, 4> >().run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f64, 32x16x4_8x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<32, 16, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using Element = cutlass::complex<double>;
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using ElementC = cutlass::complex<double>;
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using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
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using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
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Shape,
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InstructionShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor
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>::Type;
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test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 16, 4> >().run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f64, 32x32x4_8x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using Element = cutlass::complex<double>;
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using ElementC = cutlass::complex<double>;
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using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
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using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
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Shape,
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InstructionShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor
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>::Type;
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test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 4> >().run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f64, 32x32x4_8x8x4_nh) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using Element = cutlass::complex<double>;
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using ElementC = cutlass::complex<double>;
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using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
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using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
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Shape,
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InstructionShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor,
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cutlass::ComplexTransform::kNone,
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cutlass::ComplexTransform::kConjugate
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>::Type;
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test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 4> >().run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f64, 32x32x4_8x8x4_ct) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using Element = cutlass::complex<double>;
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using ElementC = cutlass::complex<double>;
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using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
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using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
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Shape,
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InstructionShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor,
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cutlass::ComplexTransform::kConjugate,
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cutlass::ComplexTransform::kNone
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>::Type;
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test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 4> >().run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f64, 8x8x4_8x8x4_tn) {
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using Shape = cutlass::gemm::GemmShape<8, 8, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using Element = cutlass::complex<double>;
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using ElementC = cutlass::complex<double>;
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using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise128x4;
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using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise128x4;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
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Shape,
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InstructionShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor
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>::Type;
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test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<8, 8, 4> >().run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f64, 16x16x4_8x8x4_tn) {
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using Shape = cutlass::gemm::GemmShape<16, 16, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
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using Element = cutlass::complex<double>;
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using ElementC = cutlass::complex<double>;
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using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise128x4;
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using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise128x4;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
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Shape,
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InstructionShape,
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Element,
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LayoutA,
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Element,
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor
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>::Type;
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test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 4> >().run();
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////////////////////////////
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// complex<float> * complex<float> => complex<float>
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// Input data type: complex<float>
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// Math instruction: MMA.1688.F32.TF32
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// Output data type: complex<float>
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// Shared memory layout: Congrous
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x16x8_16x8x8_nt) {
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using Shape = cutlass::gemm::GemmShape<16, 16, 8>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
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using Element = cutlass::complex<float>;
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using ElementC = cutlass::complex<float>;
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using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
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using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
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Shape,
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InstructionShape,
|
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Element,
|
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LayoutA,
|
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Element,
|
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LayoutB,
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ElementC,
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cutlass::layout::RowMajor
|
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>::Type;
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|
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test::gemm::warp::TransformedTestbedComplex<
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MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 8> >()
|
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.run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x16x16_16x8x8_nt) {
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using Shape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
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using Element = cutlass::complex<float>;
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using ElementC = cutlass::complex<float>;
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using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
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using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
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|
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >()
|
||||
.run();
|
||||
}
|
||||
|
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TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x32x8_16x8x8_nt) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<16, 32, 8>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<16, 32, 8> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x16x8_16x16x8_nt) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 16, 8>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<32, 16, 8> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
|
||||
TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x32x8_16x8x8_nt) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 32, 8>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 8> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x32x8_16x8x8_nh) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 32, 8>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::ComplexTransform::kConjugate
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 8> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x32x8_16x8x8_ct) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 32, 8>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kConjugate,
|
||||
cutlass::ComplexTransform::kNone
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 8> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// complex<float> * complex<float> => complex<float>
|
||||
// Input data type: complex<float>
|
||||
// Math instruction: MMA.1688.F32.TF32
|
||||
// Output data type: complex<float>
|
||||
// Shared memory layout: Crosswise
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x16x8_16x8x8_tn) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<16, 16, 8>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 8> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
// TEST FAILS crosswise complex<float> TN MMA.1688.F32.TF32 test fails for k = 2*8 = 16
|
||||
TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x16x16_16x8x8_tn) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<16, 16, 16>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x32x8_16x8x8_tn) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 32, 8>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 8> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x64x8_16x8x8_tn) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 64, 8>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<32, 64, 8> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_complex_tensor_op_f32, 64x32x8_16x8x8_tn) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<64, 32, 8>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
|
||||
using Element = cutlass::complex<float>;
|
||||
using ElementC = cutlass::complex<float>;
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TransformedTestbedComplex<
|
||||
MmaTensorOp, cutlass::gemm::GemmShape<64, 32, 8> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
#endif // #if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
|
||||
|
||||
@@ -0,0 +1,281 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
* * Redistributions of source code must retain the above copyright notice, this list of
|
||||
* conditions and the following disclaimer.
|
||||
* * Redistributions in binary form must reproduce the above copyright notice, this list of
|
||||
* conditions and the following disclaimer in the documentation and/or other materials
|
||||
* provided with the distribution.
|
||||
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
|
||||
* to endorse or promote products derived from this software without specific prior written
|
||||
* permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
|
||||
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
||||
* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
|
||||
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
|
||||
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
|
||||
* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
|
||||
* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*
|
||||
**************************************************************************************************/
|
||||
/*! \file
|
||||
|
||||
\brief Unit tests for thread-level GEMM
|
||||
*/
|
||||
|
||||
#include "cutlass/cutlass.h"
|
||||
#include "../../common/cutlass_unit_test.h"
|
||||
|
||||
#include "cutlass/aligned_buffer.h"
|
||||
#include "cutlass/half.h"
|
||||
|
||||
#include "cutlass/gemm/warp/default_mma_complex_tensor_op.h"
|
||||
|
||||
#include "cutlass/core_io.h"
|
||||
#include "cutlass/util/host_tensor.h"
|
||||
#include "cutlass/util/tensor_view_io.h"
|
||||
|
||||
#include "cutlass/util/reference/host/tensor_fill.h"
|
||||
#include "cutlass/util/reference/host/tensor_compare.h"
|
||||
#include "cutlass/util/reference/host/gemm.h"
|
||||
|
||||
#include "testbed.h"
|
||||
|
||||
#if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM80_warp_gemm_gaussian_complex_tensor_op, 8x8x4_8x8x4_nt) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<8, 8, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
||||
|
||||
using Element = cutlass::complex<double>;
|
||||
using ElementC = cutlass::complex<double>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::arch::OpMultiplyAddGaussianComplex
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<8, 8, 4> >().run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_gaussian_complex_tensor_op, 16x16x4_8x8x4_nt) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<16, 16, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
||||
|
||||
using Element = cutlass::complex<double>;
|
||||
using ElementC = cutlass::complex<double>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::arch::OpMultiplyAddGaussianComplex
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 4> >().run();
|
||||
}
|
||||
|
||||
|
||||
TEST(SM80_warp_gemm_gaussian_complex_tensor_op, 16x32x4_8x8x4_nt) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<16, 32, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
||||
|
||||
using Element = cutlass::complex<double>;
|
||||
using ElementC = cutlass::complex<double>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::arch::OpMultiplyAddGaussianComplex
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<16, 32, 4> >().run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_gaussian_complex_tensor_op, 32x16x4_8x8x4_nt) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 16, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
||||
|
||||
using Element = cutlass::complex<double>;
|
||||
using ElementC = cutlass::complex<double>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::arch::OpMultiplyAddGaussianComplex
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 16, 4> >().run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_gaussian_complex_tensor_op, 32x32x4_8x8x4_nt) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
||||
|
||||
using Element = cutlass::complex<double>;
|
||||
using ElementC = cutlass::complex<double>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::arch::OpMultiplyAddGaussianComplex
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 4> >().run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_gaussian_complex_tensor_op, 32x32x4_8x8x4_nh) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
||||
|
||||
using Element = cutlass::complex<double>;
|
||||
using ElementC = cutlass::complex<double>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::ComplexTransform::kConjugate,
|
||||
cutlass::arch::OpMultiplyAddGaussianComplex
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 4> >().run();
|
||||
}
|
||||
|
||||
TEST(SM80_warp_gemm_gaussian_complex_tensor_op, 32x32x4_8x8x4_ct) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
||||
|
||||
using Element = cutlass::complex<double>;
|
||||
using ElementC = cutlass::complex<double>;
|
||||
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous128b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous128b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kConjugate,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::arch::OpMultiplyAddGaussianComplex
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 4> >().run();
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM80_warp_gemm_gaussian_complex_tensor_op, 16x16x4_8x8x4_tn) {
|
||||
|
||||
using Shape = cutlass::gemm::GemmShape<16, 16, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
||||
|
||||
using Element = cutlass::complex<double>;
|
||||
using ElementC = cutlass::complex<double>;
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise128x4;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise128x4;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::ComplexTransform::kNone,
|
||||
cutlass::arch::OpMultiplyAddGaussianComplex
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 4> >().run();
|
||||
}
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
#endif // #if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
@@ -109,6 +109,8 @@ TEST(SM75_warp_gemm_tensor_op_congruous_f16, 128x128x32_32x32x32_16x8x8) {
|
||||
.run();
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM75_warp_gemm_tensor_op_crosswise_f16, 128x128x32_64x64x32_16x8x8) {
|
||||
using Shape = cutlass::gemm::GemmShape<64, 64, 32>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
||||
@@ -317,6 +319,8 @@ TEST(SM75_warp_gemm_tensor_op_crosswise_f16, 128x128x64_16x16x64_16x8x8) {
|
||||
.run();
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM75_warp_gemm_tensor_op_crosswise_i8, 128x128x64_64x64x64_8x8x16) {
|
||||
using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 16>;
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
@@ -996,7 +996,6 @@ struct TransformedTestbedComplex {
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
|
||||
} // namespace warp
|
||||
} // namespace gemm
|
||||
} // namespace test
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
|
||||
Reference in New Issue
Block a user