tf.debugging.check_numerics | TensorFlow v2.0.0 (original) (raw)
tf.debugging.check_numerics
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Checks a tensor for NaN and Inf values.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.check_numerics, tf.compat.v1.debugging.check_numerics
tf.debugging.check_numerics(
tensor, message, name=None
)
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. |
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Last updated 2020-10-01 UTC.