tf.debugging.assert_proper

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

TensorFlow

tf.debugging / assert_proper_iterable

Args

Returns

Raises

Eager Compatibility

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.debugging / assert_proper_iterable

Args

Returns

Raises

Eager Compatibility