Help protect the Great Barrier Reef with TensorFlow on Kaggle Join Challenge

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:

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

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