tf.debugging.assert_non

TensorFlow 1 version

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Static assert that values is a "proper" iterable.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.assert_proper_iterable, tf.compat.v1.debugging.assert_proper_iterable

tf.debugging.assert_proper_iterable(
    values
)

Ops that expect iterables of Tensor can call this to validate input. Useful since Tensor, ndarray, byte/text type are all iterables themselves.

Args
`values`	Object to be checked.

Raises
`TypeError`	If `values` is not iterable or is one of `Tensor`, `SparseTensor`, `np.array`, `tf.compat.bytes_or_text_types`.

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_non_positive

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Args

Raises