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 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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/*! \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.sync.aligned.m8n8k4.f64.f64.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.sync.aligned.m16n8k8.f32.tf32.tf32.f32
// 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.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)
