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/*! \file
    \brief Tests for device-wide Implicit GEMM interface
*/

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

#include "cutlass/conv/kernel/default_conv3d_wgrad.h"
#include "cutlass/conv/device/implicit_gemm_convolution.h"

#include "conv3d_testbed.h"

#if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)

////////////////////////////////////////////////////////////////////////////////
TEST(SM80_Device_Conv3d_Wgrad_Analytic_ImplicitGemm_f32ndhwc_f32ndhwc_f32ndhwc_simt_f32,
  128x128_8x4_32x64x8) {

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


  /// Device-level Conv3d instance
  using Conv3dWgradKernel = typename cutlass::conv::kernel::DefaultConv3dWgrad<
    ElementA, 
    cutlass::layout::TensorNDHWC,
    ElementB, 
    cutlass::layout::TensorNDHWC,
    ElementC, 
    cutlass::layout::TensorNDHWC,
    ElementAccumulator,
    cutlass::arch::OpClassSimt,
    cutlass::arch::Sm80,
    cutlass::gemm::GemmShape<128, 128, 8>,
    cutlass::gemm::GemmShape<32, 64, 8>, 
    cutlass::gemm::GemmShape<1, 1, 1>,
    cutlass::epilogue::thread::LinearCombination<
      ElementC,
      1,
      ElementAccumulator,
      ElementCompute
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    4,
    cutlass::arch::OpMultiplyAdd,
    cutlass::conv::IteratorAlgorithm::kAnalytic
  >::Kernel;

  using Conv3dWgrad = cutlass::conv::device::ImplicitGemmConvolution<Conv3dWgradKernel>;

  /// Run all unit test sizes with device-level Conv3d instance
  EXPECT_TRUE(test::conv::device::TestAllConv3d<Conv3dWgrad>());

}

////////////////////////////////////////////////////////////////////////////////
TEST(SM80_Device_Conv3d_Wgrad_Optimized_ImplicitGemm_f32ndhwc_f32ndhwc_f32ndhwc_simt_f32,
  128x128_8x4_64x32x8) {

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


  /// Device-level Conv3d instance
  using Conv3dWgradKernel = typename cutlass::conv::kernel::DefaultConv3dWgrad<
    ElementA, 
    cutlass::layout::TensorNDHWC,
    ElementB, 
    cutlass::layout::TensorNDHWC,
    ElementC, 
    cutlass::layout::TensorNDHWC,
    ElementAccumulator,
    cutlass::arch::OpClassSimt,
    cutlass::arch::Sm80,
    cutlass::gemm::GemmShape<128, 128, 8>,
    cutlass::gemm::GemmShape<64, 32, 8>, 
    cutlass::gemm::GemmShape<1, 1, 1>,
    cutlass::epilogue::thread::LinearCombination<
      ElementC,
      1,
      ElementAccumulator,
      ElementCompute
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    4,
    cutlass::arch::OpMultiplyAdd,
    cutlass::conv::IteratorAlgorithm::kOptimized
  >::Kernel;

  using Conv3dWgrad = cutlass::conv::device::ImplicitGemmConvolution<Conv3dWgradKernel>;

  /// Run all unit test sizes with device-level Conv3d instance
  EXPECT_TRUE(test::conv::device::TestAllConv3d<Conv3dWgrad>());

}

////////////////////////////////////////////////////////////////////////////////
#endif  // CUTLASS_ARCH_MMA_SM80_SUPPORTED
