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# torch.hspmm

torch.hspmm(mat1, mat2, *, out=None) → Tensor

  Performs a matrix multiplication of a sparse COO matrix `mat1` and a strided matrix `mat2`. The result is a (1 + 1)-dimensional hybrid COO matrix.

  Parameters:

    - mat1 (Tensor) – the first sparse matrix to be matrix multiplied

    - mat2 (Tensor) – the second strided matrix to be matrix multiplied

  Keyword Arguments:

    out (Tensor, optional) – the output tensor.

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