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/* \file
   \brief Defines operations for reduction operation in CUTLASS Library.
*/
  
#include "cutlass/cutlass.h"
#include "cutlass/library/library.h"
#include "cutlass/library/manifest.h"

#include "reduction_operation.h"

namespace cutlass {
namespace library {

// naming convention initialize_reduce_[ReductionOp]_[EpilogueOp]_[ElementWorkspace]_[ElementAccumulator]_[ElementOutput]

void initialize_reduce_add_linear_combination_f32_f32_f16(Manifest &manifest) {

  using ElementWorkspace = float; 
  using ElementAccumulator = float;
  using ElementOutput = cutlass::half_t;
  using ElementCompute = float;

  using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
    ElementOutput,
    128 / cutlass::sizeof_bits<ElementWorkspace>::value,
    ElementAccumulator,
    ElementCompute
  >;

  using ReductionOp = cutlass::reduction::thread::ReduceAdd<
    ElementAccumulator, 
    typename EpilogueOutputOp::ElementAccumulator,
    EpilogueOutputOp::kCount
  >;

  using Operation_reduce_add_linear_combination_f32_f32_f16 = cutlass::reduction::device::ReduceSplitK<
    cutlass::reduction::kernel::ReduceSplitK<
      cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
      EpilogueOutputOp,
      ReductionOp
    >
  >;

  manifest.append(new ReductionOperation<
    Operation_reduce_add_linear_combination_f32_f32_f16>(
      "reduce_add_linear_combination_f32_f32_f16"
  ));
}


void initialize_reduce_add_linear_combination_f32_f32_f32(Manifest &manifest) {

  using ElementWorkspace = float; 
  using ElementAccumulator = float;
  using ElementOutput = float;
  using ElementCompute = float;

  using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
    ElementOutput,
    128 / cutlass::sizeof_bits<ElementWorkspace>::value,
    ElementAccumulator,
    ElementCompute
  >;

  using ReductionOp = cutlass::reduction::thread::ReduceAdd<
    ElementAccumulator, 
    typename EpilogueOutputOp::ElementAccumulator,
    EpilogueOutputOp::kCount
  >;

  using Operation_reduce_add_linear_combination_f32_f32_f32 = cutlass::reduction::device::ReduceSplitK<
    cutlass::reduction::kernel::ReduceSplitK<
      cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
      EpilogueOutputOp,
      ReductionOp
    >
  >;

  manifest.append(new ReductionOperation<
    Operation_reduce_add_linear_combination_f32_f32_f32>(
      "reduce_add_linear_combination_f32_f32_f32"
  ));
}

void initialize_reduce_add_linear_combination_cf32_cf32_cf32(Manifest &manifest) {

  using ElementWorkspace = cutlass::complex<float>; 
  using ElementAccumulator = cutlass::complex<float>;
  using ElementOutput = cutlass::complex<float>;
  using ElementCompute = cutlass::complex<float>;

  using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
    ElementOutput,
    128 / cutlass::sizeof_bits<ElementWorkspace>::value,
    ElementAccumulator,
    ElementCompute
  >;

  using ReductionOp = cutlass::reduction::thread::ReduceAdd<
    ElementAccumulator, 
    typename EpilogueOutputOp::ElementAccumulator,
    EpilogueOutputOp::kCount
  >;

  using Operation_reduce_add_linear_combination_cf32_cf32_cf32 = cutlass::reduction::device::ReduceSplitK<
    cutlass::reduction::kernel::ReduceSplitK<
      cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
      EpilogueOutputOp,
      ReductionOp
    >
  >;

  manifest.append(new ReductionOperation<
    Operation_reduce_add_linear_combination_cf32_cf32_cf32>(
      "reduce_add_linear_combination_cf32_cf32_cf32"
  ));
}

} 
}