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. |
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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/SparseMatrixAdd