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/*! \file
    \brief Unit tests for thread-level GEMM
*/
#include "cutlass/arch/wmma.h"

#ifdef CUTLASS_ARCH_WMMA_SM70_ENABLED
#include "mma_pipelined_testbed.h"
#include "cutlass/gemm/threadblock/default_mma_core_wmma.h"

/// All tests use single staged (kStages=1) mma pipeline for the gemm mainloop
/// Test name format:
/// SM[arch]_gemm_threadblock_singlestage_wmma_[alayout]_[blayout]_[clayout]_[dtype].[threadblock_shape]_[warp_shape]

///////////////////////////////////////////////////////////////////////////////////////////////////////
///       WMMA Floating point (f16 accumulation) - Single stage - Threadblock
///       level tests          ////
///////////////////////////////////////////////////////////////////////////////////////////////////////

TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16,
     64x64x32_64x64x32_16x16x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = cutlass::half_t;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(64, 64, 32);

    using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(1, 1);
    dim3 block(32, 1, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16,
     128x128x32_64x64x32_16x16x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = cutlass::half_t;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(128, 128, 64);

    using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(1, 1);
    dim3 block(32, 4, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16,
     multicta_256x256x96_128x128x32_64x64x32_16x16x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = cutlass::half_t;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(256, 256, 96);

    using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(2, 2);
    dim3 block(32, 4, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

///////////////////////////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m32n8k16.f16.f16 (wmma native size 32x8x16)
///////////////////////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16,
     64x64x32_64x64x32_32x8x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = cutlass::half_t;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(64, 64, 128);

    using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<32, 8, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(1, 1);
    dim3 block(32, 1, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

//////////////////////////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m8n32k16.f16.f16  (wmma native size 8x32x16)
//////////////////////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16,
     64x64x32_64x64x32_8x32x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = cutlass::half_t;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(64, 64, 128);

    using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<8, 32, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(1, 1);
    dim3 block(32, 1, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

///////////////////////////////////////////////////////////////////////////////////////////////////////
///       WMMA Floating point (f32 accumulation) - Single stage - Threadblock
///       level tests          ////
///////////////////////////////////////////////////////////////////////////////////////////////////////

//////////////////////////////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m16n16k16.f32.f32   (wmma native size
/// 16x16x16)
//////////////////////////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32,
     64x64x32_64x64x32_16x16x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = float;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(64, 64, 128);

    using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(1, 1);
    dim3 block(32, 1, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32,
     128x128x32_64x64x32_16x16x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = float;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(128, 128, 128);

    using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(1, 1);
    dim3 block(32, 4, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32,
     multicta_256x256x96_128x128x32_64x64x32_16x16x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = float;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(256, 256, 96);

    using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(2, 2);
    dim3 block(32, 4, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

///////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m32n8k16.f32.f32   (wmma native size 32x8x16)
////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32,
     64x64x32_64x64x32_32x8x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = float;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(64, 64, 128);

    using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<32, 8, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(1, 1);
    dim3 block(32, 1, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

/////////////////////////////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m8n32k16.f32.f32   (wmma native size 8x32x16)
/////////////////////////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32,
     64x64x32_64x64x32_8x32x16) {
    using ElementA = cutlass::half_t;
    using LayoutA = cutlass::layout::RowMajor;
    using ElementB = cutlass::half_t;
    using LayoutB = cutlass::layout::ColumnMajor;
    using ElementC = float;
    using LayoutC = cutlass::layout::RowMajor;
    static const int kStages = 1;

    cutlass::gemm::GemmCoord problem_size(64, 64, 128);

    using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<8, 32, 16>;

    float alpha = 1.f;
    float beta = 0.0f;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
            ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
            ElementB, LayoutB, ElementC, LayoutC,
            cutlass::arch::OpClassWmmaTensorOp, kStages>;

    dim3 grid(1, 1);
    dim3 block(32, 1, 1);

    test::gemm::threadblock::Testbed<MmaCore, kStages>(
            problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
            .run(grid, block);
}

#endif  // CUTLASS_ARCH_WMMA_SM70_ENABLED
