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

#include "cutlass_unit_test.h"

#include "cutlass/cutlass.h"
#include "cute/tensor.hpp"
#include "cute/atom/mma_atom.hpp"

#include "cutlass/numeric_types.h"

#include "cutlass/conv/device/conv_universal_adapter.hpp"
#include "cutlass/conv/kernel/conv_universal.hpp"
#include "cutlass/conv/collective/collective_builder.hpp"
#include "cutlass/epilogue/collective/collective_builder.hpp"

#include "../testbed_conv.hpp"
using namespace cute;

#if defined(CUTLASS_ARCH_MMA_SM90_SUPPORTED)

//////////////////////////////////////////////////////////////////////////////////////////////////
// Tile shape 64x64x64
//////////////////////////////////////////////////////////////////////////////////////////////////

//
// Cluster 2x1x1
//

TEST(SM90_device_conv2d_dgrad_implicitgemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f16, 64x64x64_2x1x1) {
  using ElementAct     = cutlass::half_t;
  using ElementFlt     = cutlass::half_t;
  using ElementOut     = float;
  using ElementAcc     = cutlass::half_t;
  using ElementCompute = float;
  using TileShapeMNK = Shape<_64, _64, Shape<_64>>;
  using ClusterShapeMNK = Shape<_2,_1,_1>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      ElementAcc, ElementCompute,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::epilogue::TmaWarpSpecialized
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::conv::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::conv::Operator::kDgrad,
      ElementAct, cutlass::layout::TensorNHWC, 8,
      ElementFlt, cutlass::layout::TensorNHWC, 8,
      ElementAcc,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::conv::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::conv::collective::KernelScheduleAuto
    >::CollectiveOp;

  using ProblemShape=cutlass::conv::ConvProblemShape<CollectiveMainloop::DispatchPolicy::ConvOp, CollectiveMainloop::DispatchPolicy::NumSpatialDimensions>;
  using ConvKernel = cutlass::conv::kernel::ConvUniversal<
      ProblemShape,
      CollectiveMainloop,
      CollectiveEpilogue
    >;

  using Conv = cutlass::conv::device::ConvUniversalAdapter<ConvKernel>;

  EXPECT_TRUE(test::conv::device::TestAllConv<Conv>());
}

//
// Cluster 1x1x1
//

TEST(SM90_device_conv2d_dgrad_implicitgemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f16, 64x64x64_1x1x1) {
  using ElementAct     = cutlass::half_t;
  using ElementFlt     = cutlass::half_t;
  using ElementOut     = float;
  using ElementAcc     = cutlass::half_t;
  using ElementCompute = float;
  using TileShapeMNK = Shape<_64, _64, Shape<_64>>;
  using ClusterShapeMNK = Shape<_1,_1,_1>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      ElementAcc, ElementCompute,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::epilogue::TmaWarpSpecialized
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::conv::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::conv::Operator::kDgrad,
      ElementAct, cutlass::layout::TensorNHWC, 8,
      ElementFlt, cutlass::layout::TensorNHWC, 8,
      ElementAcc,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::conv::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::conv::collective::KernelScheduleAuto
    >::CollectiveOp;

  using ProblemShape=cutlass::conv::ConvProblemShape<CollectiveMainloop::DispatchPolicy::ConvOp, CollectiveMainloop::DispatchPolicy::NumSpatialDimensions>;
  using ConvKernel = cutlass::conv::kernel::ConvUniversal<
      ProblemShape,
      CollectiveMainloop,
      CollectiveEpilogue
    >;

  using Conv = cutlass::conv::device::ConvUniversalAdapter<ConvKernel>;

  EXPECT_TRUE(test::conv::device::TestAllConv<Conv>());
}

//
// Cluster 1x2x1
//

TEST(SM90_device_conv2d_dgrad_implicitgemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f16, 64x64x64_1x2x1) {
  using ElementAct     = cutlass::half_t;
  using ElementFlt     = cutlass::half_t;
  using ElementOut     = float;
  using ElementAcc     = cutlass::half_t;
  using ElementCompute = float;
  using TileShapeMNK = Shape<_64, _64, Shape<_64>>;
  using ClusterShapeMNK = Shape<_1,_2,_1>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      ElementAcc, ElementCompute,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::epilogue::TmaWarpSpecialized
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::conv::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::conv::Operator::kDgrad,
      ElementAct, cutlass::layout::TensorNHWC, 8,
      ElementFlt, cutlass::layout::TensorNHWC, 8,
      ElementAcc,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::conv::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::conv::collective::KernelScheduleAuto
    >::CollectiveOp;

  using ProblemShape=cutlass::conv::ConvProblemShape<CollectiveMainloop::DispatchPolicy::ConvOp, CollectiveMainloop::DispatchPolicy::NumSpatialDimensions>;
  using ConvKernel = cutlass::conv::kernel::ConvUniversal<
      ProblemShape,
      CollectiveMainloop,
      CollectiveEpilogue
    >;

  using Conv = cutlass::conv::device::ConvUniversalAdapter<ConvKernel>;

  EXPECT_TRUE(test::conv::device::TestAllConv<Conv>());
}

//
// Cluster 2x2x1
//

TEST(SM90_device_conv2d_dgrad_implicitgemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f16, 64x64x64_2x2x1) {
  using ElementAct     = cutlass::half_t;
  using ElementFlt     = cutlass::half_t;
  using ElementOut     = float;
  using ElementAcc     = cutlass::half_t;
  using ElementCompute = float;
  using TileShapeMNK = Shape<_64, _64, Shape<_64>>;
  using ClusterShapeMNK = Shape<_2,_2,_1>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      ElementAcc, ElementCompute,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::epilogue::TmaWarpSpecialized
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::conv::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::conv::Operator::kDgrad,
      ElementAct, cutlass::layout::TensorNHWC, 8,
      ElementFlt, cutlass::layout::TensorNHWC, 8,
      ElementAcc,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::conv::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::conv::collective::KernelScheduleAuto
    >::CollectiveOp;

  using ProblemShape=cutlass::conv::ConvProblemShape<CollectiveMainloop::DispatchPolicy::ConvOp, CollectiveMainloop::DispatchPolicy::NumSpatialDimensions>;
  using ConvKernel = cutlass::conv::kernel::ConvUniversal<
      ProblemShape,
      CollectiveMainloop,
      CollectiveEpilogue
    >;

  using Conv = cutlass::conv::device::ConvUniversalAdapter<ConvKernel>;

  EXPECT_TRUE(test::conv::device::TestAllConv<Conv>());
}

//////////////////////////////////////////////////////////////////////////////////////////////////
// Tile shape 128x64x64
//////////////////////////////////////////////////////////////////////////////////////////////////

//
// Cluster 1x1x1
//

TEST(SM90_device_conv2d_dgrad_implicitgemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f16, 128x64x64_1x1x1) {
  using ElementAct     = cutlass::half_t;
  using ElementFlt     = cutlass::half_t;
  using ElementOut     = float;
  using ElementAcc     = cutlass::half_t;
  using ElementCompute = float;
  using TileShapeMNK = Shape<_128, _64, Shape<_64>>;
  using ClusterShapeMNK = Shape<_1,_1,_1>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      ElementAcc, ElementCompute,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::epilogue::TmaWarpSpecialized
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::conv::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::conv::Operator::kDgrad,
      ElementAct, cutlass::layout::TensorNHWC, 8,
      ElementFlt, cutlass::layout::TensorNHWC, 8,
      ElementAcc,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::conv::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::conv::collective::KernelScheduleAuto
    >::CollectiveOp;

  using ProblemShape=cutlass::conv::ConvProblemShape<CollectiveMainloop::DispatchPolicy::ConvOp, CollectiveMainloop::DispatchPolicy::NumSpatialDimensions>;
  using ConvKernel = cutlass::conv::kernel::ConvUniversal<
      ProblemShape,
      CollectiveMainloop,
      CollectiveEpilogue
    >;

  using Conv = cutlass::conv::device::ConvUniversalAdapter<ConvKernel>;

  EXPECT_TRUE(test::conv::device::TestAllConv<Conv>());
}

//
// Cluster 2x1x1
//

TEST(SM90_device_conv2d_dgrad_implicitgemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f16, 128x64x64_2x1x1) {
  using ElementAct     = cutlass::half_t;
  using ElementFlt     = cutlass::half_t;
  using ElementOut     = float;
  using ElementAcc     = cutlass::half_t;
  using ElementCompute = float;
  using TileShapeMNK = Shape<_128, _64, Shape<_64>>;
  using ClusterShapeMNK = Shape<_2,_1,_1>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      ElementAcc, ElementCompute,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::epilogue::TmaWarpSpecialized
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::conv::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::conv::Operator::kDgrad,
      ElementAct, cutlass::layout::TensorNHWC, 8,
      ElementFlt, cutlass::layout::TensorNHWC, 8,
      ElementAcc,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::conv::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::conv::collective::KernelScheduleAuto
    >::CollectiveOp;

  using ProblemShape=cutlass::conv::ConvProblemShape<CollectiveMainloop::DispatchPolicy::ConvOp, CollectiveMainloop::DispatchPolicy::NumSpatialDimensions>;
  using ConvKernel = cutlass::conv::kernel::ConvUniversal<
      ProblemShape,
      CollectiveMainloop,
      CollectiveEpilogue
    >;

  using Conv = cutlass::conv::device::ConvUniversalAdapter<ConvKernel>;

  EXPECT_TRUE(test::conv::device::TestAllConv<Conv>());
}

//
// Cluster 1x2x1
//

TEST(SM90_device_conv2d_dgrad_implicitgemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f16, 128x64x64_1x2x1) {
  using ElementAct     = cutlass::half_t;
  using ElementFlt     = cutlass::half_t;
  using ElementOut     = float;
  using ElementAcc     = cutlass::half_t;
  using ElementCompute = float;
  using TileShapeMNK = Shape<_128, _64, Shape<_64>>;
  using ClusterShapeMNK = Shape<_1,_2,_1>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      ElementAcc, ElementCompute,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::epilogue::TmaWarpSpecialized
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::conv::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::conv::Operator::kDgrad,
      ElementAct, cutlass::layout::TensorNHWC, 8,
      ElementFlt, cutlass::layout::TensorNHWC, 8,
      ElementAcc,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::conv::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::conv::collective::KernelScheduleAuto
    >::CollectiveOp;

  using ProblemShape=cutlass::conv::ConvProblemShape<CollectiveMainloop::DispatchPolicy::ConvOp, CollectiveMainloop::DispatchPolicy::NumSpatialDimensions>;
  using ConvKernel = cutlass::conv::kernel::ConvUniversal<
      ProblemShape,
      CollectiveMainloop,
      CollectiveEpilogue
    >;

  using Conv = cutlass::conv::device::ConvUniversalAdapter<ConvKernel>;

  EXPECT_TRUE(test::conv::device::TestAllConv<Conv>());
}

//
// Cluster 2x2x1
//

TEST(SM90_device_conv2d_dgrad_implicitgemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f16, 128x64x64_2x2x1) {
  using ElementAct     = cutlass::half_t;
  using ElementFlt     = cutlass::half_t;
  using ElementOut     = float;
  using ElementAcc     = cutlass::half_t;
  using ElementCompute = float;
  using TileShapeMNK = Shape<_128, _64, Shape<_64>>;
  using ClusterShapeMNK = Shape<_2,_2,_1>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      ElementAcc, ElementCompute,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::half_t, cutlass::layout::TensorNHWC, 8,
      cutlass::epilogue::TmaWarpSpecialized
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::conv::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::conv::Operator::kDgrad,
      ElementAct, cutlass::layout::TensorNHWC, 8,
      ElementFlt, cutlass::layout::TensorNHWC, 8,
      ElementAcc,
      TileShapeMNK, ClusterShapeMNK,
      cutlass::conv::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::conv::collective::KernelScheduleAuto
    >::CollectiveOp;

  using ProblemShape=cutlass::conv::ConvProblemShape<CollectiveMainloop::DispatchPolicy::ConvOp, CollectiveMainloop::DispatchPolicy::NumSpatialDimensions>;
  using ConvKernel = cutlass::conv::kernel::ConvUniversal<
      ProblemShape,
      CollectiveMainloop,
      CollectiveEpilogue
    >;

  using Conv = cutlass::conv::device::ConvUniversalAdapter<ConvKernel>;

  EXPECT_TRUE(test::conv::device::TestAllConv<Conv>());
}

#endif // defined(CUTLASS_ARCH_MMA_SM90_SUPPORTED)
