本文整理匯總了Python中tensorflow.python.pywrap_tensorflow.TF_ExtendGraph方法的典型用法代碼示例。如果您正苦於以下問題：Python pywrap_tensorflow.TF_ExtendGraph方法的具體用法？Python pywrap_tensorflow.TF_ExtendGraph怎麽用？Python pywrap_tensorflow.TF_ExtendGraph使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.pywrap_tensorflow的用法示例。
在下文中一共展示了pywrap_tensorflow.TF_ExtendGraph方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _extend_graph
# 需要導入模塊: from tensorflow.python import pywrap_tensorflow [as 別名]
# 或者: from tensorflow.python.pywrap_tensorflow import TF_ExtendGraph [as 別名]
def _extend_graph(self):
# Ensure any changes to the graph are reflected in the runtime.
with self._extend_lock:
if self._graph.version > self._current_version:
# pylint: disable=protected-access
graph_def, self._current_version = self._graph._as_graph_def(
from_version=self._current_version,
add_shapes=self._add_shapes)
# pylint: enable=protected-access
with errors.raise_exception_on_not_ok_status() as status:
tf_session.TF_ExtendGraph(
self._session, graph_def.SerializeToString(), status)
self._opened = True
# The threshold to run garbage collection to delete dead tensors. 示例2: _extend_graph
# 需要導入模塊: from tensorflow.python import pywrap_tensorflow [as 別名]
# 或者: from tensorflow.python.pywrap_tensorflow import TF_ExtendGraph [as 別名]
def _extend_graph(self):
# Nothing to do if we're using the new session interface
# TODO(skyewm): remove this function altogether eventually
if self._created_with_new_api: return
# Ensure any changes to the graph are reflected in the runtime.
with self._extend_lock:
if self._graph.version > self._current_version:
# pylint: disable=protected-access
graph_def, self._current_version = self._graph._as_graph_def(
from_version=self._current_version,
add_shapes=self._add_shapes)
# pylint: enable=protected-access
with errors.raise_exception_on_not_ok_status() as status:
tf_session.TF_ExtendGraph(
self._session, graph_def.SerializeToString(), status)
self._opened = True
# The threshold to run garbage collection to delete dead tensors. 開發者ID:PacktPublishing，項目名稱:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda，代碼行數:22，代碼來源:session.py