tf.debugging.assert

Asserts that the given Tensor is of the specified type.

tf.debugging.assert_type(
    tensor, tf_type, message=None, name=None
)

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

Args
`tensor`	A `Tensor` or `SparseTensor`.
`tf_type`	A tensorflow type (`dtypes.float32`, `tf.int64`, `dtypes.bool`, etc).
`message`	A string to prefix to the default message.
`name`	A name for this operation. Defaults to "assert_type"

Raises
`TypeError`	If the tensor's data type doesn't match `tf_type`.

TensorFlow

tf.debugging / assert_scalar

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_scalar

Args

Raises