tf.raw_ops.CheckNumericsV2
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Checks a tensor for NaN, -Inf and +Inf values.
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tf.compat.v1.raw_ops.CheckNumericsV2
tf.raw_ops.CheckNumericsV2(
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, returns the input
tensor. 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.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-01-23 UTC.
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