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))
| 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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/SparseMatrixMatMul