tf.linalg.matrix_rank
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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.
|
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Last updated 2020-10-01 UTC.
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