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/*! \file
    \brief Tests for device-wide Implicit GEMM interface with swizzling functor > 1
*/

#include "../../common/hytlass_unit_test.h"
#include "hytlass/hytlass.h"

#include "hytlass/conv/kernel/default_conv2d_dgrad.h"
#include "hytlass/conv/device/implicit_gemm_convolution.h"

#include "conv2d_testbed.h"

TEST(GFX928_Device_Conv2d_Strided_Dgrad_Optimized_ImplicitGemm_f16nhwc_f16nhwc_f16nhwc_tensor_op_f32_swizzle4,
  128x64_32x1_64x32x32) {

  /// Conv operation element types for the Gemm equivalent (ImplicitGemm)
  using ElementA           = hytlass::half_t;
  using ElementB           = hytlass::half_t;
  using ElementC           = hytlass::half_t;
  using ElementAccumulator = float;
  using ElementCompute     = float;

  /// Device-level Conv2d instance
  using Conv2dDgradKernel = typename hytlass::conv::kernel::DefaultConv2dDgrad<
    ElementA, hytlass::layout::TensorNHWC,
    ElementB, hytlass::layout::TensorNHWC,
    ElementC, hytlass::layout::TensorNHWC,
    ElementAccumulator,
    hytlass::arch::OpClassTensorOp,
    hytlass::arch::Gfx928,
    hytlass::gemm::GemmShape<128, 64, 32>,
    hytlass::gemm::GemmShape<64, 32, 32>,
    hytlass::gemm::GemmShape<16, 16, 16>,
    hytlass::epilogue::thread::LinearCombination<
      ElementC,
      2,
      ElementAccumulator,
      ElementCompute
    >,
    hytlass::conv::threadblock::StridedDgradIdentityThreadblockSwizzle<4>,
    1,
    hytlass::arch::OpMultiplyAdd,
    hytlass::conv::IteratorAlgorithm::kOptimized,
    hytlass::conv::StrideSupport::kStrided,
    8,
    2
  >::Kernel;

  using Conv2dDgrad = hytlass::conv::device::ImplicitGemmConvolution<Conv2dDgradKernel>;


  test::conv::device::Conv2dProblemVector problem_size_list;


  // run specific problem size in the unit test first
  problem_size_list.push_back(hytlass::conv::Conv2dProblemSize(
    {1, 23, 56, 98},      // input size (NHWC)
    {128, 3, 3, 98},      // filter size (KRSC)
    {4, 0, 5, 0},         // padding (pad_h, _, pad_w, _)
    {3, 3},               // stride (stride_h, stride_w)
    {1, 1}                // dilation (dilation_h, dilation_w)
  ));

  /// Run all unit test sizes with device-level Conv2d instance
  EXPECT_TRUE(test::conv::device::TestAllConv2d<Conv2dDgrad>(problem_size_list));
}

TEST(GFX928_Device_Conv2d_Strided_Dgrad_Optimized_ImplicitGemm_f16nhwc_f16nhwc_f16nhwc_tensor_op_f32_swizzle4,
  128x64_32x2_64x32x32) {

  /// Conv operation element types for the Gemm equivalent (ImplicitGemm)
  using ElementA           = hytlass::half_t;
  using ElementB           = hytlass::half_t;
  using ElementC           = hytlass::half_t;
  using ElementAccumulator = float;
  using ElementCompute     = float;

  /// Device-level Conv2d instance
  using Conv2dDgradKernel = typename hytlass::conv::kernel::DefaultConv2dDgrad<
    ElementA, hytlass::layout::TensorNHWC,
    ElementB, hytlass::layout::TensorNHWC,
    ElementC, hytlass::layout::TensorNHWC,
    ElementAccumulator,
    hytlass::arch::OpClassTensorOp,
    hytlass::arch::Gfx928,
    hytlass::gemm::GemmShape<128, 64, 32>,
    hytlass::gemm::GemmShape<64, 32, 32>,
    hytlass::gemm::GemmShape<16, 16, 16>,
    hytlass::epilogue::thread::LinearCombination<
      ElementC,
      2,
      ElementAccumulator,
      ElementCompute
    >,
    hytlass::conv::threadblock::StridedDgradIdentityThreadblockSwizzle<4>,
    2,
    hytlass::arch::OpMultiplyAdd,
    hytlass::conv::IteratorAlgorithm::kOptimized,
    hytlass::conv::StrideSupport::kStrided,
    8,
    2
  >::Kernel;

  using Conv2dDgrad = hytlass::conv::device::ImplicitGemmConvolution<Conv2dDgradKernel>;


  test::conv::device::Conv2dProblemVector problem_size_list;


  // run specific problem size in the unit test first
  problem_size_list.push_back(hytlass::conv::Conv2dProblemSize(
    {1, 23, 56, 98},      // input size (NHWC)
    {128, 3, 3, 98},      // filter size (KRSC)
    {4, 0, 5, 0},         // padding (pad_h, _, pad_w, _)
    {3, 3},               // stride (stride_h, stride_w)
    {1, 1}                // dilation (dilation_h, dilation_w)
  ));

  /// Run all unit test sizes with device-level Conv2d instance
  EXPECT_TRUE(test::conv::device::TestAllConv2d<Conv2dDgrad>(problem_size_list));
}
