arch/mma.h

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#pragma once

#include "cutlass/array.h"
#include "cutlass/numeric_types.h"
#include "cutlass/gemm/gemm.h"


namespace cutlass {
namespace arch {


struct OpMultiplyAdd;


struct OpMultiplyAddSaturate;


struct OpXorPopc;


struct OpClassSimt;


struct OpClassTensorOp;

struct OpClassWmmaTensorOp;


template <
  typename Shape_,
  int kThreads_,
  typename ElementA,
  typename LayoutA,
  typename ElementB,
  typename LayoutB,
  typename ElementC,
  typename LayoutC,
  typename Operator
>
struct Mma;


template <
  typename ElementA,
  typename LayoutA,
  typename ElementB,
  typename LayoutB,
  typename ElementC,
  typename LayoutC,
  typename Operator
>
struct Mma<gemm::GemmShape<1, 1, 1>, 1, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, Operator> {

  using Shape = gemm::GemmShape<1, 1, 1>;

  CUTLASS_HOST_DEVICE
  void operator()(
    Array<ElementC, 1> &d,
    Array<ElementA, 1> const &a,
    Array<ElementB, 1> const &b,
    Array<ElementC, 1> const &c
  ) {

    d[0] = a[0] * b[0] + c[0];
  }
};


} // namespace arch
} // namespace cutlass


//
// Specializations for each compute capability
//

#include "cutlass/arch/mma_sm50.h"
#include "cutlass/arch/mma_sm60.h"
#include "cutlass/arch/mma_sm61.h"
#include "cutlass/arch/mma_sm70.h" 
#include "cutlass/arch/mma_sm75.h"