tf.linalg.matrix_rank

Compute the matrix rank of one or more matrices.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.linalg.matrix_rank, `tf.compat.v2.linalg.matrix_rank`

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.