本文整理汇总了Python中tensorflow.python.ops.resources.report_uninitialized_resources方法的典型用法代码示例。如果您正苦于以下问题：Python resources.report_uninitialized_resources方法的具体用法？Python resources.report_uninitialized_resources怎么用？Python resources.report_uninitialized_resources使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tensorflow.python.ops.resources的用法示例。
在下文中一共展示了resources.report_uninitialized_resources方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: finalize
# 需要导入模块: from tensorflow.python.ops import resources [as 别名]
# 或者: from tensorflow.python.ops.resources import report_uninitialized_resources [as 别名]
def finalize(self):
"""Creates operations if needed and finalizes the graph."""
if self._init_op is None:
def default_init_op():
return control_flow_ops.group(
variables.global_variables_initializer(),
resources.initialize_resources(resources.shared_resources()))
self._init_op = Scaffold.get_or_default(
'init_op',
ops.GraphKeys.INIT_OP,
default_init_op)
if self._ready_op is None:
def default_ready_op():
return array_ops.concat(
0,
[variables.report_uninitialized_variables(),
resources.report_uninitialized_resources()])
self._ready_op = Scaffold.get_or_default(
'ready_op', ops.GraphKeys.READY_OP,
default_ready_op)
if self._local_init_op is None:
self._local_init_op = Scaffold.get_or_default(
'local_init_op', ops.GraphKeys.LOCAL_INIT_OP,
Scaffold._default_local_init_op)
if self._summary_op is None:
self._summary_op = Scaffold.get_or_default('summary_op',
ops.GraphKeys.SUMMARY_OP,
summary.merge_all)
# pylint: disable=g-long-lambda
if self._saver is None:
self._saver = Scaffold.get_or_default(
'saver',
ops.GraphKeys.SAVERS,
lambda: training_saver.Saver(sharded=True, allow_empty=True,
write_version=saver_pb2.SaverDef.V2))
# pylint: enable=g-long-lambda
self._saver.build()
ops.get_default_graph().finalize()
return self 示例2: testInitialize
# 需要导入模块: from tensorflow.python.ops import resources [as 别名]
# 或者: from tensorflow.python.ops.resources import report_uninitialized_resources [as 别名]
def testInitialize(self):
with self.test_session():
handle = test_ops.stub_resource_handle_op(container="a", shared_name="b")
resources.register_resource(
handle=handle,
create_op=test_ops.resource_create_op(handle),
is_initialized_op=test_ops.resource_initialized_op(handle))
self.assertEquals(len(resources.report_uninitialized_resources(
resources.shared_resources()).eval()), 1)
resources.initialize_resources(resources.shared_resources()).run()
self.assertEquals(len(resources.report_uninitialized_resources(
resources.shared_resources()).eval()), 0) 示例3: finalize
# 需要导入模块: from tensorflow.python.ops import resources [as 别名]
# 或者: from tensorflow.python.ops.resources import report_uninitialized_resources [as 别名]
def finalize(self):
"""Creates operations if needed and finalizes the graph."""
if self._init_op is None:
def default_init_op():
return control_flow_ops.group(
variables.global_variables_initializer(),
resources.initialize_resources(resources.shared_resources()))
self._init_op = Scaffold.get_or_default(
'init_op',
ops.GraphKeys.INIT_OP,
default_init_op)
if self._ready_op is None:
def default_ready_op():
return array_ops.concat([
variables.report_uninitialized_variables(),
resources.report_uninitialized_resources()
], 0)
self._ready_op = Scaffold.get_or_default(
'ready_op', ops.GraphKeys.READY_OP,
default_ready_op)
if self._ready_for_local_init_op is None:
def default_ready_for_local_init_op():
return variables.report_uninitialized_variables(
variables.global_variables())
self._ready_for_local_init_op = Scaffold.get_or_default(
'ready_for_local_init_op', ops.GraphKeys.READY_FOR_LOCAL_INIT_OP,
default_ready_for_local_init_op)
if self._local_init_op is None:
self._local_init_op = Scaffold.get_or_default(
'local_init_op', ops.GraphKeys.LOCAL_INIT_OP,
Scaffold._default_local_init_op)
if self._summary_op is None:
self._summary_op = Scaffold.get_or_default('summary_op',
ops.GraphKeys.SUMMARY_OP,
summary.merge_all)
# pylint: disable=g-long-lambda
if self._saver is None:
self._saver = training_saver._get_saver_or_default() # pylint: disable=protected-access
# pylint: enable=g-long-lambda
self._saver.build()
ops.get_default_graph().finalize()
return self 示例4: finalize
# 需要导入模块: from tensorflow.python.ops import resources [as 别名]
# 或者: from tensorflow.python.ops.resources import report_uninitialized_resources [as 别名]
def finalize(self):
"""Creates operations if needed and finalizes the graph."""
if self._init_op is None:
def default_init_op():
return control_flow_ops.group(
variables.global_variables_initializer(),
resources.initialize_resources(resources.shared_resources()))
self._init_op = Scaffold.get_or_default(
'init_op',
ops.GraphKeys.INIT_OP,
default_init_op)
if self._ready_op is None:
def default_ready_op():
return array_ops.concat([
variables.report_uninitialized_variables(),
resources.report_uninitialized_resources()
], 0)
self._ready_op = Scaffold.get_or_default(
'ready_op', ops.GraphKeys.READY_OP,
default_ready_op)
if self._ready_for_local_init_op is None:
def default_ready_for_local_init_op():
return variables.report_uninitialized_variables(
variables.global_variables())
self._ready_for_local_init_op = Scaffold.get_or_default(
'ready_for_local_init_op', ops.GraphKeys.READY_FOR_LOCAL_INIT_OP,
default_ready_for_local_init_op)
if self._local_init_op is None:
self._local_init_op = Scaffold.get_or_default(
'local_init_op', ops.GraphKeys.LOCAL_INIT_OP,
Scaffold._default_local_init_op)
if self._summary_op is None:
self._summary_op = Scaffold.get_or_default('summary_op',
ops.GraphKeys.SUMMARY_OP,
summary.merge_all)
# pylint: disable=g-long-lambda
if self._saver is None:
self._saver = Scaffold.get_or_default(
'saver',
ops.GraphKeys.SAVERS,
lambda: training_saver.Saver(sharded=True, allow_empty=True,
write_version=saver_pb2.SaverDef.V2))
# pylint: enable=g-long-lambda
self._saver.build()
ops.get_default_graph().finalize()
return self 示例5: finalize
# 需要导入模块: from tensorflow.python.ops import resources [as 别名]
# 或者: from tensorflow.python.ops.resources import report_uninitialized_resources [as 别名]
def finalize(self):
"""Creates operations if needed and finalizes the graph."""
if self._init_op is None:
def default_init_op():
return tf.group(
tf.global_variables_initializer(),
resources.initialize_resources(resources.shared_resources()))
self._init_op = TransferScaffold.get_or_default(
'init_op',
tf.GraphKeys.INIT_OP,
default_init_op)
if self._ready_op is None:
def default_ready_op():
return tf.concat([
tf.report_uninitialized_variables(),
resources.report_uninitialized_resources()
], 0)
self._ready_op = TransferScaffold.get_or_default(
'ready_op', tf.GraphKeys.READY_OP,
default_ready_op)
if self._ready_for_local_init_op is None:
def default_ready_for_local_init_op():
return tf.report_uninitialized_variables(
tf.global_variables())
self._ready_for_local_init_op = TransferScaffold.get_or_default(
'ready_for_local_init_op', tf.GraphKeys.READY_FOR_LOCAL_INIT_OP,
default_ready_for_local_init_op)
if self._local_init_op is None:
self._local_init_op = TransferScaffold.get_or_default(
'local_init_op', tf.GraphKeys.LOCAL_INIT_OP,
TransferScaffold.default_local_init_op)
if self._summary_op is None:
self._summary_op = TransferScaffold.get_or_default(
'summary_op', tf.GraphKeys.SUMMARY_OP, tf.summary.merge_all)
# pylint: disable=g-long-lambda
if self._saver is None:
self._saver = training_saver._get_saver_or_default() # pylint: disable=protected-access
# pylint: enable=g-long-lambda
self._saver.build()
# ops.get_default_graph().finalize()
# logging.info('Graph was finalized.')
return self