/TensorFlow 1.15


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

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.

Note: This API is not compatible with the use of tf.cond or tf.while_loop, and will raise a ValueError if you attempt to call it in such a graph.
A group op depending on all check_numerics ops added.
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 tfe.seterr(inf_or_nan='raise') once before executing the checked operations.

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Code samples licensed under the Apache 2.0 License.