tf.compat.v1.add_check_numerics

Connect a tf.debugging.check_numerics to every floating point tensor.

tf.compat.v1.add_check_numerics_ops()

check_numerics operations themselves are added for each half, float, or double tensor in the current default graph. For all ops in the graph, the check_numerics op for all of its (half, float, or double) inputs is guaranteed to run before the check_numerics op on any of its outputs.

Returns
A `group` op depending on all `check_numerics` ops added.

Raises
`ValueError`	If the graph contains any numeric operations in a control flow structure.
`RuntimeError`	If called with eager execution enabled.

Eager Compatibility

Not compatible with eager execution. To check for Infs and NaNs under eager execution, call tf.debugging.enable_check_numerics() once before executing the checked operations.

TensorFlow

tf.compat / v1 / v1.add_check_numerics_ops

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.compat / v1 / v1.add_check_numerics_ops

Returns

Raises

Eager Compatibility