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/*! \file
    \brief Tests for grouped Rank2K interface
*/

#include <iostream>

#include "../../common/cutlass_unit_test.h"
#include "cutlass/cutlass.h"

#include "cutlass/blas3.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/rank_2k_grouped.h"
#include "cutlass/gemm/kernel/default_rank_2k_grouped.h"
#include "cutlass/gemm/device/rank_2k_grouped.h"

#include "cutlass/util/host_tensor.h"
#include "cutlass/util/reference/host/gemm.h"
#include "cutlass/util/reference/host/tensor_compare.h"
#include "cutlass/util/reference/host/tensor_copy.h"
#include "cutlass/util/reference/host/tensor_fill.h"
#include "cutlass/util/tensor_view_io.h"

#include "testbed_grouped_rank_2k.h"

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

#if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)

// NOTE: HER2K requires that LayoutA == LayoutB, and that LayoutC == ColumnMajor

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

TEST(SM80_Device_Her2KGrouped_cf64h_cf64n_l_tensor_op_f64, 32x32x16_16x16x16) {

  using ElementA = cutlass::complex<double>;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::complex<double>;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = cutlass::complex<double>;
  using LayoutC = cutlass::layout::ColumnMajor;
  using ElementAccumulator = cutlass::complex<double>;

  using Rank2Kkernel = typename cutlass::gemm::kernel::DefaultRank2KGrouped<
    ElementA, LayoutA, cutlass::ComplexTransform::kConjugate, 1,
    ElementB, LayoutB, cutlass::ComplexTransform::kConjugate, 1,
    ElementC, LayoutC, cutlass::FillMode::kLower,
    ElementAccumulator,
    cutlass::arch::OpClassTensorOp,
    cutlass::arch::Sm80,
    cutlass::gemm::GemmShape<32, 32, 16>,
    cutlass::gemm::GemmShape<16, 16, 16>,
    cutlass::gemm::GemmShape<8, 8, 4>,
    cutlass::epilogue::thread::LinearCombination<ElementC, 1, ElementAccumulator, ElementAccumulator>,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    3, // kStages
    cutlass::arch::OpMultiplyAddComplex,
    cutlass::BlasMode::kHermitian>::Rank2Kkernel;

  using Rank2K = cutlass::gemm::device::Rank2KGrouped<Rank2Kkernel>;

  test::gemm::device::TestbedGrouped<Rank2K> testbed;
  bool passed = testbed.run(24);
  EXPECT_TRUE(passed);
}

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

TEST(SM80_Device_Her2KGrouped_cf64h_cf64n_l_tensor_op_f64, 64x64x16_32x32x16) {

  using ElementA = cutlass::complex<double>;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::complex<double>;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = cutlass::complex<double>;
  using LayoutC = cutlass::layout::ColumnMajor;
  using ElementAccumulator = cutlass::complex<double>;

  using Rank2Kkernel = typename cutlass::gemm::kernel::DefaultRank2KGrouped<
    ElementA, LayoutA, cutlass::ComplexTransform::kConjugate, 1,
    ElementB, LayoutB, cutlass::ComplexTransform::kConjugate, 1,
    ElementC, LayoutC, cutlass::FillMode::kLower,
    ElementAccumulator,
    cutlass::arch::OpClassTensorOp,
    cutlass::arch::Sm80,
    cutlass::gemm::GemmShape<64, 64, 16>,
    cutlass::gemm::GemmShape<32, 32, 16>,
    cutlass::gemm::GemmShape<8, 8, 4>,
    cutlass::epilogue::thread::LinearCombination<ElementC, 1, ElementAccumulator, ElementAccumulator>,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    3, // kStages
    cutlass::arch::OpMultiplyAddComplex,
    cutlass::BlasMode::kHermitian>::Rank2Kkernel;

  using Rank2K = cutlass::gemm::device::Rank2KGrouped<Rank2Kkernel>;

  test::gemm::device::TestbedGrouped<Rank2K> testbed;
  bool passed = testbed.run(24);
  EXPECT_TRUE(passed);
}

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

TEST(SM80_Device_Her2KGrouped_cf64h_cf64n_l_tensor_op_f64, 32x64x16_32x32x16) {

  using ElementA = cutlass::complex<double>;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::complex<double>;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = cutlass::complex<double>;
  using LayoutC = cutlass::layout::ColumnMajor;
  using ElementAccumulator = cutlass::complex<double>;

  using Rank2Kkernel = typename cutlass::gemm::kernel::DefaultRank2KGrouped<
    ElementA, LayoutA, cutlass::ComplexTransform::kConjugate, 1,
    ElementB, LayoutB, cutlass::ComplexTransform::kConjugate, 1,
    ElementC, LayoutC, cutlass::FillMode::kLower,
    ElementAccumulator,
    cutlass::arch::OpClassTensorOp,
    cutlass::arch::Sm80,
    cutlass::gemm::GemmShape<32, 64, 16>,
    cutlass::gemm::GemmShape<32, 32, 16>,
    cutlass::gemm::GemmShape<8, 8, 4>,
    cutlass::epilogue::thread::LinearCombination<ElementC, 1, ElementAccumulator, ElementAccumulator>,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    3, // kStages
    cutlass::arch::OpMultiplyAddComplex,
    cutlass::BlasMode::kHermitian>::Rank2Kkernel;

  using Rank2K = cutlass::gemm::device::Rank2KGrouped<Rank2Kkernel>;

  test::gemm::device::TestbedGrouped<Rank2K> testbed;
  bool passed = testbed.run(24);
  EXPECT_TRUE(passed);
}

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

TEST(SM80_Device_Her2KGrouped_cf64h_cf64n_l_tensor_op_f64, 64x32x16_32x32x16) {

  using ElementA = cutlass::complex<double>;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::complex<double>;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = cutlass::complex<double>;
  using LayoutC = cutlass::layout::ColumnMajor;
  using ElementAccumulator = cutlass::complex<double>;

  using Rank2Kkernel = typename cutlass::gemm::kernel::DefaultRank2KGrouped<
    ElementA, LayoutA, cutlass::ComplexTransform::kConjugate, 1,
    ElementB, LayoutB, cutlass::ComplexTransform::kConjugate, 1,
    ElementC, LayoutC, cutlass::FillMode::kLower,
    ElementAccumulator,
    cutlass::arch::OpClassTensorOp,
    cutlass::arch::Sm80,
    cutlass::gemm::GemmShape<64, 32, 16>,
    cutlass::gemm::GemmShape<32, 32, 16>,
    cutlass::gemm::GemmShape<8, 8, 4>,
    cutlass::epilogue::thread::LinearCombination<ElementC, 1, ElementAccumulator, ElementAccumulator>,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    3, // kStages
    cutlass::arch::OpMultiplyAddComplex,
    cutlass::BlasMode::kHermitian>::Rank2Kkernel;

  using Rank2K = cutlass::gemm::device::Rank2KGrouped<Rank2Kkernel>;

  test::gemm::device::TestbedGrouped<Rank2K> testbed;
  bool passed = testbed.run(24);
  EXPECT_TRUE(passed);
}

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

TEST(SM80_Device_Her2KGrouped_cf64h_cf64n_u_tensor_op_f64, 32x32x16_16x16x16) {

  using ElementA = cutlass::complex<double>;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::complex<double>;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = cutlass::complex<double>;
  using LayoutC = cutlass::layout::ColumnMajor;
  using ElementAccumulator = cutlass::complex<double>;

  using Rank2Kkernel = typename cutlass::gemm::kernel::DefaultRank2KGrouped<
    ElementA, LayoutA, cutlass::ComplexTransform::kConjugate, 1,
    ElementB, LayoutB, cutlass::ComplexTransform::kConjugate, 1,
    ElementC, LayoutC, cutlass::FillMode::kUpper,
    ElementAccumulator,
    cutlass::arch::OpClassTensorOp,
    cutlass::arch::Sm80,
    cutlass::gemm::GemmShape<32, 32, 16>,
    cutlass::gemm::GemmShape<16, 16, 16>,
    cutlass::gemm::GemmShape<8, 8, 4>,
    cutlass::epilogue::thread::LinearCombination<ElementC, 1, ElementAccumulator, ElementAccumulator>,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    3, // kStages
    cutlass::arch::OpMultiplyAddComplex,
    cutlass::BlasMode::kHermitian>::Rank2Kkernel;

  using Rank2K = cutlass::gemm::device::Rank2KGrouped<Rank2Kkernel>;

  test::gemm::device::TestbedGrouped<Rank2K> testbed;
  bool passed = testbed.run(24);
  EXPECT_TRUE(passed);
}

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

TEST(SM80_Device_Her2KGrouped_cf64h_cf64n_u_tensor_op_f64, 32x64x16_32x32x16) {

  using ElementA = cutlass::complex<double>;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::complex<double>;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = cutlass::complex<double>;
  using LayoutC = cutlass::layout::ColumnMajor;
  using ElementAccumulator = cutlass::complex<double>;

  using Rank2Kkernel = typename cutlass::gemm::kernel::DefaultRank2KGrouped<
    ElementA, LayoutA, cutlass::ComplexTransform::kConjugate, 1,
    ElementB, LayoutB, cutlass::ComplexTransform::kConjugate, 1,
    ElementC, LayoutC, cutlass::FillMode::kUpper,
    ElementAccumulator,
    cutlass::arch::OpClassTensorOp,
    cutlass::arch::Sm80,
    cutlass::gemm::GemmShape<32, 64, 16>,
    cutlass::gemm::GemmShape<32, 32, 16>,
    cutlass::gemm::GemmShape<8, 8, 4>,
    cutlass::epilogue::thread::LinearCombination<ElementC, 1, ElementAccumulator, ElementAccumulator>,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    3, // kStages
    cutlass::arch::OpMultiplyAddComplex,
    cutlass::BlasMode::kHermitian>::Rank2Kkernel;

  using Rank2K = cutlass::gemm::device::Rank2KGrouped<Rank2Kkernel>;

  test::gemm::device::TestbedGrouped<Rank2K> testbed;
  bool passed = testbed.run(24);
  EXPECT_TRUE(passed);
}

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

TEST(SM80_Device_Her2KGrouped_cf64h_cf64n_u_tensor_op_f64, 64x32x16_32x32x16) {

  using ElementA = cutlass::complex<double>;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::complex<double>;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = cutlass::complex<double>;
  using LayoutC = cutlass::layout::ColumnMajor;
  using ElementAccumulator = cutlass::complex<double>;

  using Rank2Kkernel = typename cutlass::gemm::kernel::DefaultRank2KGrouped<
    ElementA, LayoutA, cutlass::ComplexTransform::kConjugate, 1,
    ElementB, LayoutB, cutlass::ComplexTransform::kConjugate, 1,
    ElementC, LayoutC, cutlass::FillMode::kUpper,
    ElementAccumulator,
    cutlass::arch::OpClassTensorOp,
    cutlass::arch::Sm80,
    cutlass::gemm::GemmShape<64, 32, 16>,
    cutlass::gemm::GemmShape<32, 32, 16>,
    cutlass::gemm::GemmShape<8, 8, 4>,
    cutlass::epilogue::thread::LinearCombination<ElementC, 1, ElementAccumulator, ElementAccumulator>,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    3, // kStages
    cutlass::arch::OpMultiplyAddComplex,
    cutlass::BlasMode::kHermitian>::Rank2Kkernel;

  using Rank2K = cutlass::gemm::device::Rank2KGrouped<Rank2Kkernel>;

  test::gemm::device::TestbedGrouped<Rank2K> testbed;
  bool passed = testbed.run(24);
  EXPECT_TRUE(passed);
}

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

#endif // #if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)

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