cutlass/test/unit/gemm/warp/gemm_complex_sm80.cu

/***************************************************************************************************
 * Copyright (c) 2017-2021, 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 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
*/

#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)

////////////////////////////////////////////////////////////////////////////////////////////////////
// complex<double> * complex<double> => complex<double>
// Input data type: complex<double>
// Math instruction: MMA.884.F64.F64
// Output data type: complex<double>
///////////////////////////////////////////////////////////////////////////////////////////////////
TEST(SM80_warp_gemm_complex_tensor_op_f64, 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
  >::Type;

  test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<8, 8, 4> >().run();
}

TEST(SM80_warp_gemm_complex_tensor_op_f64, 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
  >::Type;

  test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 4> >().run();
}

TEST(SM80_warp_gemm_complex_tensor_op_f64, 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
  >::Type;

  test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<16, 32, 4> >().run();
}

TEST(SM80_warp_gemm_complex_tensor_op_f64, 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
  >::Type;

  test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 16, 4> >().run();
}

TEST(SM80_warp_gemm_complex_tensor_op_f64, 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
  >::Type;

  test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 4> >().run();
}

TEST(SM80_warp_gemm_complex_tensor_op_f64, 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
  >::Type;

  test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 4> >().run();
}

TEST(SM80_warp_gemm_complex_tensor_op_f64, 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
  >::Type;

  test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<32, 32, 4> >().run();
}

TEST(SM80_warp_gemm_complex_tensor_op_f64, 8x8x4_8x8x4_tn) {

  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::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, cutlass::gemm::GemmShape<8, 8, 4> >().run();
}

TEST(SM80_warp_gemm_complex_tensor_op_f64, 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
  >::Type;

  test::gemm::warp::TestbedComplex<MmaTensorOp, cutlass::gemm::GemmShape<16, 16, 4> >().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: Congrous
////////////////////////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x16x8_16x8x8_nt) {

  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::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, 16, 8> >()
      .run();
}

TEST(SM80_warp_gemm_complex_tensor_op_f32, 16x16x16_16x8x8_nt) {

  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::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, 16, 16> >()
      .run();
}

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();
}

////////////////////////////////////////////////////////////////////////////////////////////////

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)