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tf.report_uninitialized_variables

tf.report_uninitialized_variables(
    var_list=None,
    name='report_uninitialized_variables'
)

Defined in tensorflow/python/ops/variables.py.

See the guide: Variables > Variable helper functions

Adds ops to list the names of uninitialized variables.

When run, it returns a 1-D tensor containing the names of uninitialized variables if there are any, or an empty array if there are none.

Args:

  • var_list: List of Variable objects to check. Defaults to the value of global_variables() + local_variables()
  • name: Optional name of the Operation.

Returns:

A 1-D tensor containing names of the uninitialized variables, or an empty 1-D tensor if there are no variables or no uninitialized variables.

NOTE The output of this function should be used. If it is not, a warning will be logged. To mark the output as used, call its .mark_used() method.

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/report_uninitialized_variables