tf.linalg.matrix_rank | TensorFlow v2.16.1 (original) (raw)
tf.linalg.matrix_rank
Compute the matrix rank of one or more matrices.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.linalg.matrix_rank
tf.linalg.matrix_rank(
a, tol=None, validate_args=False, name=None
)
| Args | |
|---|---|
| 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. |
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Last updated 2024-04-26 UTC.