699 lines
22 KiB
Plaintext
699 lines
22 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*! \file
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\brief Unit tests for thread-level GEMM
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*/
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#include "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.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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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.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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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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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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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::TransformedTestbedComplex<
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MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >()
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.run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x32x8_16x8x8_nt) {
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using Shape = cutlass::gemm::GemmShape<16, 32, 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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test::gemm::warp::TransformedTestbedComplex<
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MmaTensorOp, cutlass::gemm::GemmShape<16, 32, 8> >()
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.run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x16x8_16x16x8_nt) {
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using Shape = cutlass::gemm::GemmShape<32, 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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test::gemm::warp::TransformedTestbedComplex<
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MmaTensorOp, cutlass::gemm::GemmShape<32, 16, 8> >()
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.run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x32x8_16x8x8_nt) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 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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test::gemm::warp::TransformedTestbedComplex<
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MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 8> >()
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.run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x32x8_16x8x8_nh) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 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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cutlass::ComplexTransform::kNone,
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cutlass::ComplexTransform::kConjugate
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>::Type;
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test::gemm::warp::TransformedTestbedComplex<
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MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 8> >()
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.run();
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}
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TEST(SM80_warp_gemm_complex_tensor_op_f32, 32x32x8_16x8x8_ct) {
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using Shape = cutlass::gemm::GemmShape<32, 32, 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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cutlass::ComplexTransform::kConjugate,
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cutlass::ComplexTransform::kNone
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>::Type;
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|
|
|
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.sync.aligned.m16n8k8.f32.tf32.tf32.f32
|
|
// 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.sync.aligned.m16n8k8.f32.tf32.tf32.f32 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();
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM80_warp_gemm_complex_tensor_op_f64, 32x32x8_8x8x4_tn) {
|
|
|
|
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::RowMajor;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
|
|
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_f64, 32x32x8_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::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
|
|
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();
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#endif // #if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
|