tf.raw_ops.SparseMatrixAdd
Sparse addition of two CSR matrices, C = alpha * A + beta * B.
tf.raw_ops.SparseMatrixAdd(
a, b, alpha, beta, name=None
)
The gradients of SparseMatrixAdd outputs with respect to alpha and beta are not currently defined (TensorFlow will return zeros for these entries).
| Args | |
|---|---|
a |
A Tensor of type variant. A CSRSparseMatrix. |
b |
A Tensor of type variant. A CSRSparseMatrix. |
alpha |
A Tensor. Must be one of the following types: float32, float64, complex64, complex128. A constant scalar. |
beta |
A Tensor. Must have the same type as alpha. A constant scalar. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor of type variant. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/SparseMatrixAdd