tensorflow:: ops:: CheckNumerics
#include <array_ops.h>
Checks a tensor for NaN and Inf values.
Summary
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:
- scope: A Scope object
- message: Prefix of the error message.
Returns:
Output
: The output tensor.
Constructors and Destructors |
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CheckNumerics(const ::tensorflow::Scope & scope, ::tensorflow::Input tensor, StringPiece message)
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Public attributes |
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operation
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
CheckNumerics
CheckNumerics( const ::tensorflow::Scope & scope, ::tensorflow::Input tensor, StringPiece message )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const