tf.linalg.matrix_rank
Compute the matrix rank of one or more matrices.
tf.linalg.matrix_rank(
a, tol=None, validate_args=False, name=None
)
| Arguments | |
|---|---|
a |
(Batch of) float-like matrix-shaped Tensor(s) which are to be pseudo-inverted. |
tol |
Threshold below which the singular value is counted as 'zero'. Default value: None (i.e., eps * max(rows, cols) * max(singular_val)). |
validate_args |
When True, additional assertions might be embedded in the graph. Default value: False (i.e., no graph assertions are added). |
name |
Python str prefixed to ops created by this function. Default value: 'matrix_rank'. |
| Returns | |
|---|---|
matrix_rank |
(Batch of) int32 scalars representing the number of non-zero singular values. |
© 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/linalg/matrix_rank