tf.debugging.assert_rank_at_least

Assert that x has rank of at least rank.

tf.debugging.assert_rank_at_least(
    x, rank, message=None, name=None
)

This Op checks that the rank of x is greater or equal to rank.

If x has a rank lower than rank, message, as well as the shape of x are printed, and InvalidArgumentError is raised.

Args
`x`	`Tensor`.
`rank`	Scalar integer `Tensor`.
`message`	A string to prefix to the default message.
`name`	A name for this operation (optional). Defaults to "assert_rank_at_least".

Returns
Op raising `InvalidArgumentError` unless `x` has specified rank or higher. If static checks determine `x` has correct 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 at least `rank`, but the rank cannot be statically determined.
`ValueError`	If static checks determine `x` has mismatched rank.

returns None

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2021-05-14 UTC.

tf.debugging.assert_rank_at_least Stay organized with collections Save and categorize content based on your preferences.