tf.debugging.assert

Assert that x is of integer dtype.

tf.debugging.assert_integer(
    x, message=None, name=None
)

If x has a non-integer type, message, as well as the dtype of x are printed, and InvalidArgumentError is raised.

This can always be checked statically, so this method returns nothing.

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

Raises
`TypeError`	If `x.dtype` is not a non-quantized integer type.

TensorFlow

tf.debugging / assert_greater

Args

Raises

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_greater

Args

Raises