tf.compat.v1.trainable_variables
Returns all variables created with trainable=True.
tf.compat.v1.trainable_variables(
scope=None
)
Migrate to TF2
Not compatible with eager execution and tf.function. In particular, Graph collections are deprecated in TF2. Instead please create a tf.Module container for all your model state, including variables. You can then list all the trainable variables in your tf.Module through the trainable_variables attribute.
Description
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 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/compat/v1/trainable_variables
