本文整理汇总了Python中tensorflow.python.training.device_setter.replica_device_setter方法的典型用法代码示例。如果您正苦于以下问题：Python device_setter.replica_device_setter方法的具体用法？Python device_setter.replica_device_setter怎么用？Python device_setter.replica_device_setter使用的例子？那么, 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.training.device_setter的用法示例。
在下文中一共展示了device_setter.replica_device_setter方法的3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: _get_replica_device_setter
# 需要导入模块: from tensorflow.python.training import device_setter [as 别名]
# 或者: from tensorflow.python.training.device_setter import replica_device_setter [as 别名]
def _get_replica_device_setter(config):
"""Creates a replica device setter if required.
Args:
config: A RunConfig instance.
Returns:
A replica device setter, or None.
"""
ps_ops = [
'Variable', 'VariableV2', 'AutoReloadVariable', 'MutableHashTable',
'MutableHashTableOfTensors', 'MutableDenseHashTable'
]
if config.task_type:
worker_device = '/job:%s/task:%d' % (config.task_type, config.task_id)
else:
worker_device = '/job:worker'
if config.num_ps_replicas > 0:
return device_setter.replica_device_setter(
ps_tasks=config.num_ps_replicas, worker_device=worker_device,
merge_devices=True, ps_ops=ps_ops, cluster=config.cluster_spec)
else:
return None 示例2: _get_replica_device_setter
# 需要导入模块: from tensorflow.python.training import device_setter [as 别名]
# 或者: from tensorflow.python.training.device_setter import replica_device_setter [as 别名]
def _get_replica_device_setter(config):
"""Creates a replica device setter if required.
Args:
config: A RunConfig instance.
Returns:
A replica device setter, or None.
"""
ps_ops = [
'Variable', 'AutoReloadVariable', 'MutableHashTable',
'MutableHashTableOfTensors', 'MutableDenseHashTable'
]
if config.job_name:
worker_device = '/job:%s/task:%d' % (config.job_name, config.task)
else:
worker_device = '/job:worker'
if config.num_ps_replicas > 0:
return device_setter.replica_device_setter(
ps_tasks=config.num_ps_replicas, worker_device=worker_device,
merge_devices=False, ps_ops=ps_ops, cluster=config.cluster_spec)
else:
return None 示例3: testVariableWithReplicaDeviceSetter
# 需要导入模块: from tensorflow.python.training import device_setter [as 别名]
# 或者: from tensorflow.python.training.device_setter import replica_device_setter [as 别名]
def testVariableWithReplicaDeviceSetter(self):
with self.cached_session():
with ops.device(device_setter.replica_device_setter(ps_tasks=2)):
a = variables_lib2.variable('a', [])
b = variables_lib2.variable('b', [])
c = variables_lib2.variable('c', [], device='cpu:12')
d = variables_lib2.variable('d', [])
with ops.device('cpu:99'):
e_init = constant_op.constant(12)
e = variables_lib2.variable('e', initializer=e_init)
# The values below highlight how the replica_device_setter puts initial
# values on the worker job, and how it merges explicit devices.
self.assertDeviceEqual(a.device, '/job:ps/task:0/cpu:0')
self.assertEqual(a.initial_value.op.colocation_groups(),
a.op.colocation_groups())
self.assertDeviceEqual(b.device, '/job:ps/task:1/cpu:0')
self.assertEqual(b.initial_value.op.colocation_groups(),
b.op.colocation_groups())
self.assertDeviceEqual(c.device, '/job:ps/task:0/cpu:12')
self.assertEqual(c.initial_value.op.colocation_groups(),
c.op.colocation_groups())
self.assertDeviceEqual(d.device, '/job:ps/task:1/cpu:0')
self.assertEqual(d.initial_value.op.colocation_groups(),
d.op.colocation_groups())
self.assertDeviceEqual(e.device, '/job:ps/task:0/cpu:0')
self.assertDeviceEqual(e.initial_value.device, '/job:worker/cpu:99')