#include <array_ops.h>
Checks a tensor for NaN and Inf values.
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.
Example usage:
a = tf.Variable(1.0) tf.debugging.check_numerics(a, message='')
b = tf.Variable(np.nan) try: tf.debugging.check_numerics(b, message='Checking b') except Exception as e: assert "Checking b : Tensor had NaN values" in e.message
c = tf.Variable(np.inf) try: tf.debugging.check_numerics(c, message='Checking c') except Exception as e: assert "Checking c : Tensor had Inf values" in e.message
Args:
Returns:
Output
: The output tensor. Constructors and Destructors | |
---|---|
CheckNumerics(const ::tensorflow::Scope & scope, ::tensorflow::Input tensor, StringPiece message) |
Public attributes | |
---|---|
operation | |
output |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Operation operation
::tensorflow::Output output
CheckNumerics( const ::tensorflow::Scope & scope, ::tensorflow::Input tensor, StringPiece message )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/cc/class/tensorflow/ops/check-numerics