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| author |  Alexandre Passos <apassos@google.com> | 2018-06-14 15:45:19 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-06-14 15:48:10 -0700 |
| commit | d57e9a646583e55213d0f5ca88c1f91062569288 (patch) | |
| tree | 88d77aad5937862867df6febe8707b12963a35bb | |
| parent | 24b2043c8372253c04d26b7b8056fa3c897772b9 (diff) | |
Clarify reuse documentation in variable_scope and eager.
PiperOrigin-RevId: 200631958
| -rw-r--r-- | tensorflow/python/ops/variable_scope.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/tensorflow/python/ops/variable_scope.py b/tensorflow/python/ops/variable_scope.py index 23234e2e61..f49e2d314d 100644 --- a/tensorflow/python/ops/variable_scope.py +++ b/tensorflow/python/ops/variable_scope.py @@ -1908,7 +1908,8 @@ class variable_scope(object): for this scope as well as all sub-scopes; if tf.AUTO_REUSE, we create variables if they do not exist, and return them otherwise; if None, we inherit the parent scope's reuse flag. When eager execution is enabled, - this argument is always forced to be tf.AUTO_REUSE. + new variables are always created unless an EagerVariableStore or + template is currently active. dtype: type of variables created in this scope (defaults to the type in the passed scope, or inherited from parent scope). use_resource: If False, all variables will be regular Variables. If True, |