tf.raw_ops.SparseMatrixMatMul

Matrix-multiplies a sparse matrix with a dense matrix.

tf.raw_ops.SparseMatrixMatMul(
    a, b, transpose_a=False, transpose_b=False, adjoint_a=False, adjoint_b=False,
    transpose_output=False, conjugate_output=False, name=None
)

Returns a dense matrix. For inputs A and B, where A is CSR and B is dense; this op returns a dense C;

If transpose_output is false, returns:

  C = A . B

If transpose_output is true, returns:

  C = transpose(A . B) = transpose(B) . transpose(A)

where the transposition is performed along the two innermost (matrix) dimensions.

If conjugate_output is true, returns:

  C = conjugate(A . B) = conjugate(A) . conjugate(B)

If both conjugate_output and transpose_output are true, returns:

  C = conjugate(transpose(A . B)) = conjugate(transpose(B)) .
                                    conjugate(transpose(A))

a A Tensor of type variant. A CSRSparseMatrix.
b A Tensor. A dense tensor.
transpose_a An optional bool. Defaults to False. Indicates whether a should be transposed.
transpose_b An optional bool. Defaults to False. Indicates whether b should be transposed.
adjoint_a An optional bool. Defaults to False. Indicates whether a should be conjugate-transposed.
adjoint_b An optional bool. Defaults to False. Indicates whether b should be conjugate-transposed.
transpose_output An optional bool. Defaults to False. Transposes the product of a and b.
conjugate_output An optional bool. Defaults to False. Conjugates the product of a and b.
name A name for the operation (optional).

A Tensor. Has the same type as b.