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tf.raw_ops.CheckNumericsV2

Checks a tensor for NaN, -Inf and +Inf values.

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. Unlike CheckNumerics (V1), CheckNumericsV2 distinguishes -Inf and +Inf in the errors it throws.

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.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/CheckNumericsV2