tf.debugging.assert_rank_in
View source on GitHub |
Assert that x
has a rank in ranks
.
tf.debugging.assert_rank_in( x, ranks, message=None, name=None )
This Op checks that the rank of x
is in ranks
.
If x
has a different rank, message
, as well as the shape of x
are printed, and InvalidArgumentError
is raised.
Args | |
---|---|
x | Tensor . |
ranks | Iterable of scalar Tensor objects. |
message | A string to prefix to the default message. |
name | A name for this operation (optional). Defaults to "assert_rank_in". |
Returns | |
---|---|
Op raising InvalidArgumentError unless rank of x is in ranks . If static checks determine x has matching rank, a no_op is returned. This can be used with tf.control_dependencies inside of tf.function s to block followup computation until the check has executed. |
Raises | |
---|---|
InvalidArgumentError | x does not have rank in ranks , but the rank cannot be statically determined. |
ValueError | If static checks determine x has mismatched rank. |
Eager Compatibility
returns None
© 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/r2.4/api_docs/python/tf/debugging/assert_rank_in