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typo in comment #1513

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wzhcz8902 opened this issue Apr 29, 2024 Discussed in #1504 · 1 comment
Open

typo in comment #1513

wzhcz8902 opened this issue Apr 29, 2024 Discussed in #1504 · 1 comment

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@wzhcz8902
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Discussed in #1504

Originally posted by wzhcz8902 April 28, 2024

/// Structure to compute the matrix product targeting CUDA cores and SIMT math instructions.
template <
/// Size of the Gemm problem - concept: gemm::GemmShape<>
typename Shape_,
/// 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_,
/// Policy describing warp-level MmaTensorOp (concept: MmaTensorOp policy)
typename Policy_,
/// Number of partitions along K dimension
int PartitionsK_ = 1,
/// Store the accumulators in row major or column major. Row major is used
/// when output layout is interleaved.
bool AccumulatorsInRowMajor = false,
/// Used for partial specialization
typename Enable = bool
>
class MmaTensorOp {
public:

As a newbie to cutlass, I think this struct is targeted for tensor cores, not cuda cores as the comment claims.

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