[QST] Row major for int8 matrix multiplications?

[ken012git]

What is your question?
As I read the document and the examples, the configurations I found for int8 x int8=int8 matrix multiplication is either RowMajor x ColumnMajor = ColumnMajor (gemm_s8t_s8n_s8n) or RowMajor x ColumnMajor = RowMajor (gemm_s8t_s8n_s8t).

Is there any work around for the use case for RowMajor x RowMajor= RowMajor?
Suppose I have matrices shapes: [M K] x [K N] = [M N] and I hope not to perform transpose that involves memory copy.

  using ElementInputA = int8_t; // <- data type of elements in matrix A
  using ElementInputB = int8_t; // <- data type of elements in matrix B
  using ElementAccumulator = int32_t;
  using ElementOutput = int8_t;

  using LayoutInputA = cutlass::layout::RowMajor; //  A [M K]
  using LayoutInputB = cutlass::layout::RowMajor; //  B [K N]
  using LayoutOutput = cutlass::layout::RowMajor; // C [M N]

[IonThruster]

It's possible to do Row x Row - but not as performant, since we need to transpose in the fly. @hwu36

[github-actions]

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