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project_6/cat_files/default_mma_tensor_op.h

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/*! \file
\brief Default warp-level GEMM operators selected by data type, size, and layouts of operands.
*/
#pragma once
#include "cutlass/cutlass.h"
#include "cutlass/gemm/warp/mma_tensor_op.h"
namespace cutlass {
namespace gemm {
namespace warp {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
/// Size of the Gemm problem - concept: gemm::GemmShape<>
typename WarpShape_,
/// Shape of one matrix production operation (concept: GemmShape)
typename InstructionShape_,
/// Data type of A elements
typename ElementA_,
/// Layout of A matrix (concept: MatrixLayout)
typename LayoutA_,
/// Data type of B elements
typename ElementB_,
/// Layout of B matrix (concept: MatrixLayout)
typename LayoutB_,
/// Element type of C matrix
typename ElementC_,
/// Layout of C matrix (concept: MatrixLayout)
typename LayoutC_,
/// Operator describing the tensor operation
typename Operator_ = arch::OpMultiplyAdd,
/// Number of partitions along K dimension
int PartitionsK = 1,
/// Store the accumulators in row major or column major.
bool AccumulatorsInRowMajor = true>
struct DefaultMmaTensorOp;
/////////////////////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for m-by-n-by-kgroup
template <
/// Shape of one matrix production operation (concept: GemmShape)
typename WarpShape_,
/// Data type of A elements
typename ElementA,
/// Layout of A matrix (concept: MatrixLayout)
typename LayoutA,
/// Data type of B elements
typename ElementB,
/// Layout of B matrix (concept: MatrixLayout)
typename LayoutB,
/// Element type of C matrix
typename ElementC,
/// Layout of C matrix (concept: MatrixLayout)
typename LayoutC,
/// Number of partitions along K dimension
int PartitionsK,
/// Store the accumulators in row major or column major.
bool AccumulatorsInRowMajor>
struct DefaultMmaTensorOp<
WarpShape_,
GemmShape<16, 16, 16>,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
arch::OpMultiplyAdd,
PartitionsK,
AccumulatorsInRowMajor> {
/// Warp shape
using Shape = WarpShape_;
using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
cutlass::arch::Mma<GemmShape<16, 16, 16>,
64,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
arch::OpMultiplyAdd>,
cutlass::MatrixShape<1, 1> >;
// Define the warp-level tensor op
using Type = cutlass::gemm::warp::MmaTensorOp<
WarpShape_,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
Policy,
PartitionsK,
AccumulatorsInRowMajor>;
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace warp
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////