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tf.trainable_variables

tf.trainable_variables(scope=None)

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

See the guide: Variables > Variable helper functions

Returns all variables created with trainable=True.

When passed trainable=True, the Variable() constructor automatically adds new variables to the graph collection GraphKeys.TRAINABLE_VARIABLES. This convenience function returns the contents of that collection.

Args:

  • scope: (Optional.) A string. If supplied, the resulting list is filtered to include only items whose name attribute matches scope using re.match. Items without a name attribute are never returned if a scope is supplied. The choice of re.match means that a scope without special tokens filters by prefix.

Returns:

A list of Variable objects.

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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/api_docs/python/tf/trainable_variables