- FusedGemm#

FusedGemm - 1 (


  • name: FusedGemm (GitHub)

  • domain:

  • since_version: 1

  • function:

  • support_level:

  • shape inference:

This version of the operator has been available since version 1 of domain


The FusedGemm operator schema is the same as Gemm besides it includes attributes activation and leaky_relu_alpha.


  • activation:

Default value is ?.

  • activation_alpha:

Default value is ?.

  • activation_beta:

Default value is ?.

  • activation_gamma:

Default value is ?.

  • alpha: Scalar multiplier for the product of input tensors A * B. Default value is ?.

  • beta: Scalar multiplier for input tensor C. Default value is ?.

  • transA: Whether A should be transposed Default value is ?.

  • transB: Whether B should be transposed Default value is ?.


  • A (heterogeneous) - T: Input tensor A. The shape of A should be (M, K) if transA is 0, or (K, M) if transA is non-zero.

  • B (heterogeneous) - T: Input tensor B. The shape of B should be (K, N) if transB is 0, or (N, K) if transB is non-zero.

  • C (heterogeneous) - T: Input tensor C. The shape of C should be unidirectional broadcastable to (M, N).


  • Y (heterogeneous) - T: Output tensor of shape (M, N).