tf.compat.v1.report_uninitialized_variables
Adds ops to list the names of uninitialized variables.
tf.compat.v1.report_uninitialized_variables( var_list=None, name='report_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 | |
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var_list | List of Variable objects to check. Defaults to the value of global_variables() + local_variables() |
name | Optional name of the Operation . |
Returns | |
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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 or an error may be raised. To mark the output as used, call its .mark_used() method.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/compat/v1/report_uninitialized_variables