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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_conv2d_wgrad.h"
#include "cutlass/conv/device/implicit_gemm_convolution.h"

#include "conv2d_testbed.h"

#if defined(CUTLASS_ARCH_MMA_SM70_SUPPORTED)

TEST(SM70_Device_Conv2d_Wgrad_Analytic_ImplicitGemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32,
     128x128_32x2_64x64x32) {
    /// Conv operation element types for the Gemm equivalent (ImplicitGemm)
    using ElementA = cutlass::half_t;
    using ElementB = cutlass::half_t;
    using ElementC = float;
    using ElementAccumulator = float;
    using ElementCompute = float;

    using Conv2dWgradKernel =
            typename cutlass::conv::kernel::DefaultConv2dWgrad<
                    ElementA, cutlass::layout::TensorNHWC, ElementB,
                    cutlass::layout::TensorNHWC, ElementC,
                    cutlass::layout::TensorNHWC, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm70,
                    cutlass::gemm::GemmShape<128, 128, 32>,
                    cutlass::gemm::GemmShape<64, 64, 32>,
                    cutlass::gemm::GemmShape<8, 8, 4>,
                    cutlass::epilogue::thread::LinearCombination<
                            ElementC,
                            128 / cutlass::sizeof_bits<ElementC>::value,
                            ElementAccumulator, ElementCompute>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    2, cutlass::arch::OpMultiplyAdd>::Kernel;

    using Conv2dWgrad =
            cutlass::conv::device::ImplicitGemmConvolution<Conv2dWgradKernel>;

    /// Run all unit test sizes with device-level Conv2d instance
    EXPECT_TRUE(test::conv::device::TestAllConv2d<Conv2dWgrad>());
}

////////////////////////////////////////////////////////////////////////////////
#endif  // CUTLASS_ARCH_MMA_SM70_SUPPORTED
