tf.compat.v1.trainable_variables | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.trainable_variables
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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.Modulecontainer for all your model state, including variables. You can then list all the trainable variables in your tf.Module through thetrainable_variables attribute.
Description
When passed trainable=True, the Variable() constructor automatically adds new variables to the graph collectionGraphKeys.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 usingre.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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Last updated 2024-04-26 UTC.