tf.debugging.assert

Checks a tensor for NaN and Inf values.

View aliases

Compat aliases for migration

tf.compat.v1.check_numerics, tf.compat.v1.debugging.check_numerics

tf.debugging.check_numerics(
    tensor, message, name=None
)

Used in the notebooks

Used in the guide
TensorFlow graph optimization with Grappler

When run, reports an InvalidArgument error if tensor has any values that are not a number (NaN) or infinity (Inf). Otherwise, passes tensor as-is.

Args
`tensor`	A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`.
`message`	A `string`. Prefix of the error message.
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `tensor`.

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_shapes

View aliases

Used in the notebooks

Args

Returns