tf.raw_ops.SparseMatrixMatMul

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Matrix-multiplies a sparse matrix with a dense matrix.

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Compat aliases for migration

tf.compat.v1.raw_ops.SparseMatrixMatMul

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))

Args
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).

Returns
A Tensor. Has the same type as b.

tf.raw_ops.SparseMatrixMatMul | TensorFlow v2.16.1 (original) (raw)

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