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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-04-19 23:25:23 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-04-20 00:51:34 -0700
commit173a4104edfc5a2e81aff0684607f29c00f417c8 (patch)
tree62fdcfb96123037c270977d507e36872f4ae7261
parent91e4a19c1bbded4430299c636486c86b3fff2ab9 (diff)
Clarify docstring: tf.Variable(variable_def) does not add to the graph.
Change: 153680516
-rw-r--r--tensorflow/python/ops/variables.py10
1 files changed, 6 insertions, 4 deletions
diff --git a/tensorflow/python/ops/variables.py b/tensorflow/python/ops/variables.py
index 4793cb4a17..8b508e45a4 100644
--- a/tensorflow/python/ops/variables.py
+++ b/tensorflow/python/ops/variables.py
@@ -163,8 +163,9 @@ class Variable(object):
name: Optional name for the variable. Defaults to `'Variable'` and gets
uniquified automatically.
variable_def: `VariableDef` protocol buffer. If not `None`, recreates
- the Variable object with its contents. `variable_def` and the other
- arguments are mutually exclusive.
+ the Variable object with its contents, referencing the variable's nodes
+ in the graph, which must already exist. The graph is not changed.
+ `variable_def` and the other arguments are mutually exclusive.
dtype: If set, initial_value will be converted to the given type.
If `None`, either the datatype will be kept (if `initial_value` is
a Tensor), or `convert_to_tensor` will decide.
@@ -320,10 +321,11 @@ class Variable(object):
self._save_slice_info = None
def _init_from_proto(self, variable_def, import_scope=None):
- """Creates a new variable from `VariableDef` protocol buffer.
+ """Recreates the Variable object from a `VariableDef` protocol buffer.
Args:
- variable_def: `VariableDef` protocol buffer.
+ variable_def: `VariableDef` protocol buffer, describing a variable
+ whose nodes already exists in the graph.
import_scope: Optional `string`. Name scope to add.
"""
assert isinstance(variable_def, variable_pb2.VariableDef)