tensorflow::ops::IsNan
#include <math_ops.h>
Returns which elements of x are NaN.
Summary
(numpy) Equivalent to np.isnan
Example:
x = tf.constant([5.0, np.nan, 6.8, np.nan, np.inf]) tf.math.is_nan(x) ==> [False, True, False, True, False]
Arguments:
- scope: A Scope object
Returns:
-
Output
: The y tensor.
Constructors and Destructors | |
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IsNan(const ::tensorflow::Scope & scope, ::tensorflow::Input x) |
Public attributes | |
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operation | |
y |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public attributes
operation
Operation operation
y
::tensorflow::Output y
Public functions
IsNan
IsNan( const ::tensorflow::Scope & scope, ::tensorflow::Input x )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
© 2020 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/r2.4/api_docs/cc/class/tensorflow/ops/is-nan