releaase 2.11 (#703)
This commit is contained in:
Aditya Atluri
@@ -37,6 +37,8 @@ cutlass_test_unit_add_executable(
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gemm_complex_sm80.cu
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gemm_sparse_sm80.cu
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gemm_gaussian_complex_sm80.cu
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gemm_sm90.cu
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gemm_complex_sm90.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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@@ -56,7 +56,7 @@
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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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// Math instruction: mma.sync.aligned.m8n8k4.f64.f64.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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@@ -293,7 +293,7 @@ TEST(SM80_warp_gemm_complex_tensor_op_f64, 16x16x4_8x8x4_tn) {
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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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// Math instruction: mma.sync.aligned.m16n8k8.f32.tf32.tf32.f32
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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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@@ -495,7 +495,7 @@ TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x32x8_16x8x8_ct) {
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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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// Math instruction: mma.sync.aligned.m16n8k8.f32.tf32.tf32.f32
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// Output data type: complex<float>
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// Shared memory layout: Crosswise
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////////////////////////////////////////////////////////////////////////////////////////////////////
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@@ -526,7 +526,7 @@ TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x16x8_16x8x8_tn) {
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.run();
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}
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// TEST FAILS crosswise complex<float> TN MMA.1688.F32.TF32 test fails for k = 2*8 = 16
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// TEST FAILS crosswise complex<float> TN mma.sync.aligned.m16n8k8.f32.tf32.tf32.f32 test fails for k = 2*8 = 16
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TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x16x16_16x8x8_tn) {
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using Shape = cutlass::gemm::GemmShape<16, 16, 16>;
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@@ -0,0 +1,334 @@
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/***************************************************************************************************
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* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
|
||||
* list of conditions and the following disclaimer.
|
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
|
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* this list of conditions and the following disclaimer in the documentation
|
||||
* and/or other materials provided with the distribution.
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||||
*
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* 3. Neither the name of the copyright holder nor the names of its
|
||||
* contributors may be used to endorse or promote products derived from
|
||||
* this software without specific prior written permission.
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||||
*
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||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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||||
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
||||
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
||||
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*! \file
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\brief Unit tests for thread-level GEMM with Hopper FP64
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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/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_SM90_SUPPORTED)
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TEST(SM90_warp_gemm_complex_tensor_op_f64, 16x8x4_16x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<16, 8, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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, 8, 4> >().run();
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}
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TEST(SM90_warp_gemm_complex_tensor_op_f64, 16x16x4_16x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<16, 16, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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(SM90_warp_gemm_complex_tensor_op_f64, 16x32x4_16x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<16, 32, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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(SM90_warp_gemm_complex_tensor_op_f64, 32x16x4_16x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<32, 16, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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(SM90_warp_gemm_complex_tensor_op_f64, 32x32x4_16x8x4_nt) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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(SM90_warp_gemm_complex_tensor_op_f64, 32x32x4_16x8x4_nh) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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(SM90_warp_gemm_complex_tensor_op_f64, 32x32x4_16x8x4_ct) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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(SM90_warp_gemm_complex_tensor_op_f64, 16x8x4_16x8x4_tn) {
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using Shape = cutlass::gemm::GemmShape<16, 8, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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, 8, 4> >().run();
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}
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TEST(SM90_warp_gemm_complex_tensor_op_f64, 16x16x4_16x8x4_tn) {
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using Shape = cutlass::gemm::GemmShape<16, 16, 4>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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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TEST(SM90_warp_gemm_complex_tensor_op_f64, 32x32x16_16x8x4_tn) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 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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|
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using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaComplexTensorOp<
|
||||
Shape,
|
||||
InstructionShape,
|
||||
Element,
|
||||
LayoutA,
|
||||
Element,
|
||||
LayoutB,
|
||||
ElementC,
|
||||
cutlass::layout::RowMajor
|
||||
>::Type;
|
||||
|
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test::gemm::warp::TestbedComplex<MmaTensorOp, Shape>().run();
|
||||
}
|
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TEST(SM90_warp_gemm_complex_tensor_op_f64, 64x64x4_16x8x4_tn) {
|
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|
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using Shape = cutlass::gemm::GemmShape<64, 32, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 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
|
||||
>::Type;
|
||||
|
||||
test::gemm::warp::TestbedComplex<MmaTensorOp, Shape>().run();
|
||||
}
|
||||
|
||||
#endif // if defined(CUTLASS_ARCH_MMA_SM90_SUPPORTED)
|
||||
@@ -0,0 +1,206 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
||||
* SPDX-License-Identifier: BSD-3-Clause
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions are met:
|
||||
*
|
||||
* 1. Redistributions of source code must retain the above copyright notice, this
|
||||
* list of conditions and the following disclaimer.
|
||||
*
|
||||
* 2. 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.
|
||||
*
|
||||
* 3. Neither the name of the copyright holder 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 THE COPYRIGHT HOLDER OR CONTRIBUTORS 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 TORT (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 with Hopper FP64
|
||||
*/
|
||||
|
||||
#include "../../common/cutlass_unit_test.h"
|
||||
|
||||
#include "cutlass/aligned_buffer.h"
|
||||
#include "cutlass/half.h"
|
||||
|
||||
#include "cutlass/gemm/warp/default_mma_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_SM90_SUPPORTED)
|
||||
|
||||
TEST(SM90_warp_gemm_tensor_op_congruous_f64, 16x16x4_16x16x4_16x8x4) {
|
||||
using Shape = cutlass::gemm::GemmShape<16, 16, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
||||
using Element = double;
|
||||
using ElementC = double;
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
|
||||
Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC,
|
||||
cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type;
|
||||
|
||||
test::gemm::warp::Testbed<MmaTensorOp,
|
||||
cutlass::gemm::GemmShape<16, 16, 4> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM90_warp_gemm_tensor_op_congruous_f64, 32x16x4_32x16x4_16x8x4) {
|
||||
using Shape = cutlass::gemm::GemmShape<32, 16, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
||||
using Element = double;
|
||||
using ElementC = double;
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
|
||||
Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC,
|
||||
cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type;
|
||||
|
||||
test::gemm::warp::Testbed<MmaTensorOp,
|
||||
cutlass::gemm::GemmShape<32, 16, 4> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM90_warp_gemm_tensor_op_congruous_f64, 32x32x4_32x32x4_16x8x4) {
|
||||
using Shape = cutlass::gemm::GemmShape<32, 32, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
||||
using Element = double;
|
||||
using ElementC = double;
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
|
||||
Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC,
|
||||
cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type;
|
||||
|
||||
test::gemm::warp::Testbed<MmaTensorOp,
|
||||
cutlass::gemm::GemmShape<32, 32, 4> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM90_warp_gemm_tensor_op_congruous_f64, 32x64x4_32x64x4_16x8x4) {
|
||||
using Shape = cutlass::gemm::GemmShape<32, 64, 4>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
||||
using Element = double;
|
||||
using ElementC = double;
|
||||
using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b;
|
||||
using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
|
||||
Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC,
|
||||
cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type;
|
||||
|
||||
test::gemm::warp::Testbed<MmaTensorOp,
|
||||
cutlass::gemm::GemmShape<32, 64, 4> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM90_warp_gemm_tensor_op_crosswise_f64, 16x16x16_16x16x16_16x8x4) {
|
||||
using Shape = cutlass::gemm::GemmShape<16, 16, 16>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
||||
using Element = double;
|
||||
using ElementC = double;
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
|
||||
Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC,
|
||||
cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type;
|
||||
|
||||
test::gemm::warp::Testbed<MmaTensorOp,
|
||||
cutlass::gemm::GemmShape<16, 16, 16> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM90_warp_gemm_tensor_op_crosswise_f64, 32x32x16_32x32x16_16x8x4) {
|
||||
using Shape = cutlass::gemm::GemmShape<32, 32, 16>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
||||
using Element = double;
|
||||
using ElementC = double;
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
|
||||
Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC,
|
||||
cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type;
|
||||
|
||||
test::gemm::warp::Testbed<MmaTensorOp,
|
||||
cutlass::gemm::GemmShape<32, 32, 16> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM90_warp_gemm_tensor_op_crosswise_f64, 64x32x16_64x32x16_16x8x4) {
|
||||
using Shape = cutlass::gemm::GemmShape<64, 32, 16>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
||||
using Element = double;
|
||||
using ElementC = double;
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
|
||||
Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC,
|
||||
cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type;
|
||||
|
||||
test::gemm::warp::Testbed<MmaTensorOp,
|
||||
cutlass::gemm::GemmShape<64, 32, 16> >()
|
||||
.run();
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
TEST(SM90_warp_gemm_tensor_op_crosswise_f64, 32x64x16_32x64x16_16x8x4) {
|
||||
using Shape = cutlass::gemm::GemmShape<32, 64, 16>;
|
||||
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 4>;
|
||||
using Element = double;
|
||||
using ElementC = double;
|
||||
using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise;
|
||||
using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise;
|
||||
|
||||
using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
|
||||
Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC,
|
||||
cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type;
|
||||
|
||||
test::gemm::warp::Testbed<MmaTensorOp,
|
||||
cutlass::gemm::GemmShape<32, 64, 16> >()
|
||||
.run();
|
||||
}
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
#endif // if defined(CUTLASS_ARCH_MMA_SM90_SUPPORTED)
|
||||
Reference in New Issue
Block a user