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 *modification, are permitted provided that the following conditions are met:
 *     * Redistributions of source code must retain the above copyright notice,
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 *notice, this list of conditions and the following disclaimer in the
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/*! \file
    \brief Unit tests for thread-level GEMM
*/

#include <fstream>

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

#include "cutlass/aligned_buffer.h"
#include "cutlass/complex.h"

#include "cutlass/gemm/warp/mma_simt.h"
#include "cutlass/gemm/warp/mma_simt_policy.h"

#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"

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

#include "testbed.h"

/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued single precision tests
//
/////////////////////////////////////////////////////////////////////////////////////////////////

TEST(SM50_Epilogue_threadblock_epilogue, simt_f32_32x64_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using ElementOutput = float;
    using ElementAccumulator = float;
    using ElementCompute = float;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<32, 64, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;
    using Element = float;
    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<4, 4, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

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

TEST(SM50_Epilogue_threadblock_epilogue, simt_f32_32x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using ElementOutput = float;
    using ElementAccumulator = float;
    using ElementCompute = float;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<32, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;
    using Element = float;
    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<4, 4, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

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

TEST(SM50_Epilogue_threadblock_epilogue, simt_f32_64x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using ElementOutput = float;
    using ElementAccumulator = float;
    using ElementCompute = float;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<64, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;
    using Element = float;
    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<4, 4, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

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

TEST(SM50_Epilogue_threadblock_epilogue, simt_f32_128x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using ElementOutput = float;
    using ElementAccumulator = float;
    using ElementCompute = float;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<128, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;
    using Element = float;
    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<4, 4, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued double precision tests
//
/////////////////////////////////////////////////////////////////////////////////////////////////

TEST(SM50_Epilogue_threadblock_epilogue, simt_f64_32x64_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = double;
    using ElementOutput = double;
    using ElementAccumulator = double;
    using ElementCompute = double;

    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<32, 64, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<2, 2, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

TEST(SM50_Epilogue_threadblock_epilogue, simt_f64_32x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = double;
    using ElementOutput = double;
    using ElementAccumulator = double;
    using ElementCompute = double;

    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<32, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<2, 2, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

TEST(SM50_Epilogue_threadblock_epilogue, simt_f64_64x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = double;
    using ElementOutput = double;
    using ElementAccumulator = double;
    using ElementCompute = double;

    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<64, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<2, 2, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

TEST(SM50_Epilogue_threadblock_epilogue, simt_f64_128x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = double;
    using ElementOutput = double;
    using ElementAccumulator = double;
    using ElementCompute = double;

    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<128, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<2, 2, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Complex-valued single-precision
//
/////////////////////////////////////////////////////////////////////////////////////////////////

TEST(SM50_Epilogue_threadblock_epilogue, simt_complex_f32_32x64_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = cutlass::complex<float>;
    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<32, 64, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<2, 2, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

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

TEST(SM50_Epilogue_threadblock_epilogue, simt_complex_f32_32x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = cutlass::complex<float>;
    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<32, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<2, 2, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

TEST(SM50_Epilogue_threadblock_epilogue, simt_complex_f32_128x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = cutlass::complex<float>;
    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<128, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<2, 2, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Complex-valued double-precision
//
/////////////////////////////////////////////////////////////////////////////////////////////////

TEST(SM50_Epilogue_threadblock_epilogue, simt_complex_f64_32x64_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = cutlass::complex<double>;
    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<32, 64, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<1, 1, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

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

TEST(SM50_Epilogue_threadblock_epilogue, simt_complex_f64_32x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = cutlass::complex<double>;
    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<32, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<1, 1, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

TEST(SM50_Epilogue_threadblock_epilogue, simt_complex_f64_128x128_32x64x8) {
    //
    // Define the warp-level matrix multiply
    //

    using Element = cutlass::complex<double>;
    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;
    int const kElementsPerAccess = 1;

    using Shape = cutlass::gemm::GemmShape<128, 128, 8>;
    using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;

    using ElementC = ElementAccumulator;
    using LayoutA = cutlass::layout::ColumnMajor;
    using LayoutB = cutlass::layout::RowMajor;
    using LayoutC = cutlass::layout::RowMajor;

    using ElementOutput = Element;
    using ElementAccumulator = Element;
    using ElementCompute = Element;

    using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
            WarpShape, Element, LayoutA, Element, LayoutB, Element, LayoutC,
            cutlass::gemm::warp::MmaSimtPolicy<
                    cutlass::MatrixShape<4, 8>,
                    cutlass::layout::RowMajorInterleaved<2>,
                    cutlass::gemm::GemmShape<1, 1, 1> > >;

    //
    // Output operator
    //

    using OutputOp = cutlass::epilogue::thread::LinearCombination<
            ElementOutput, kElementsPerAccess, ElementAccumulator,
            ElementCompute>;

    //
    // Define the epilogue
    //

    using Epilogue =
            typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
                    Shape, WarpMmaSimt, OutputOp, kElementsPerAccess>::Epilogue;

    //
    // Instantiate epilogue
    //

    EpilogueTestbed<Epilogue> testbed;

    bool passed = testbed.run_all();

    EXPECT_TRUE(passed);
}

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