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.

eager compatibility

returns None

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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/debugging/assert_rank_at_least