本文整理汇总了Python中tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver.master方法的典型用法代码示例。如果您正苦于以下问题：Python TPUClusterResolver.master方法的具体用法？Python TPUClusterResolver.master怎么用？Python TPUClusterResolver.master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.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver的用法示例。
在下文中一共展示了TPUClusterResolver.master方法的8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: testGkeEnvironmentForPod
# 需要导入模块: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver import TPUClusterResolver [as 别名]
# 或者: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver import master [as 别名]
def testGkeEnvironmentForPod(self):
os.environ['KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS'] = ('grpc://10.120.27.5:8470,'
'grpc://10.120.27.6:8470,'
'grpc://10.120.27.7:8470,'
'grpc://10.120.27.8:8470')
self.assertIn('KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS', os.environ)
self.assertTrue(TPUClusterResolver._inGke())
self.assertEqual(
compat.as_bytes('grpc://10.120.27.5:8470,'
'grpc://10.120.27.6:8470,'
'grpc://10.120.27.7:8470,'
'grpc://10.120.27.8:8470'),
compat.as_bytes(TPUClusterResolver._gkeEndpoints()))
tpu_cluster_resolver = TPUClusterResolver()
self.assertEqual(
compat.as_bytes('grpc://10.120.27.5:8470'),
compat.as_bytes(tpu_cluster_resolver.master()))
actual_cluster_spec = tpu_cluster_resolver.cluster_spec()
expected_proto = """
job {
name: 'worker'
tasks { key: 0 value: '10.120.27.5:8470' }
tasks { key: 1 value: '10.120.27.6:8470' }
tasks { key: 2 value: '10.120.27.7:8470' }
tasks { key: 3 value: '10.120.27.8:8470' }
}
"""
self._verifyClusterSpecEquality(actual_cluster_spec, expected_proto)
del os.environ['KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS']示例2: testNewNetworkEndpointFormat
# 需要导入模块: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver import TPUClusterResolver [as 别名]
# 或者: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver import master [as 别名]
def testNewNetworkEndpointFormat(self):
tpu_map = {
'projects/test-project/locations/us-central1-c/nodes/test-tpu-1': {
'health': 'HEALTHY',
'networkEndpoints': [{
'ipAddress': '10.2.3.4',
'port': 8470,
}]
}
}
tpu_cluster_resolver = TPUClusterResolver(
project='test-project',
zone='us-central1-c',
tpu='test-tpu-1',
coordinator_name='coordinator',
coordinator_address='10.128.1.5:10203',
credentials=None,
service=self.mock_service_client(tpu_map=tpu_map))
actual_cluster_spec = tpu_cluster_resolver.cluster_spec()
expected_proto = """
job { name: 'coordinator' tasks { key: 0 value: '10.128.1.5:10203' } }
job { name: 'worker' tasks { key: 0 value: '10.2.3.4:8470' } }
"""
self._verifyClusterSpecEquality(actual_cluster_spec, expected_proto)
self.assertEqual('grpc://10.2.3.4:8470', tpu_cluster_resolver.master())示例3: testSimpleSuccessfulRetrieval
# 需要导入模块: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver import TPUClusterResolver [as 别名]
# 或者: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver import master [as 别名]
def testSimpleSuccessfulRetrieval(self):
tpu_map = {
'projects/test-project/locations/us-central1-c/nodes/test-tpu-1': {
'ipAddress': '10.1.2.3',
'port': '8470',
'health': 'HEALTHY'
}
}
tpu_cluster_resolver = TPUClusterResolver(
project='test-project',
zone='us-central1-c',
tpu=['test-tpu-1'],
coordinator_name='coordinator',
coordinator_address='10.128.1.5:10203',
credentials=None,
service=self.mock_service_client(tpu_map=tpu_map))
actual_cluster_spec = tpu_cluster_resolver.cluster_spec()
expected_proto = """
job { name: 'coordinator' tasks { key: 0 value: '10.128.1.5:10203' } }
job { name: 'worker' tasks { key: 0 value: '10.1.2.3:8470' } }
"""
self._verifyClusterSpecEquality(actual_cluster_spec, expected_proto)
self.assertEqual(tpu_cluster_resolver.master(), 'grpc://10.1.2.3:8470')示例4: testRetrieveProjectAndZoneFromMetadata
# 需要导入模块: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver import TPUClusterResolver [as 别名]
# 或者: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver import master [as 别名]
def testRetrieveProjectAndZoneFromMetadata(self):
tpu_map = {
'projects/test-project/locations/us-central1-c/nodes/test-tpu-1': {
'ipAddress': '10.1.2.3',
'port': '8470',
'health': 'HEALTHY'
}
}
tpu_cluster_resolver = TPUClusterResolver(
project=None,
zone=None,
tpu=['test-tpu-1'],
credentials=None,
service=self.mock_service_client(tpu_map=tpu_map),
coordinator_name='coordinator')
actual_cluster_spec = tpu_cluster_resolver.cluster_spec()
expected_proto = """
job {
name: 'coordinator'
tasks { key: 0 value: '10.128.1.2:%s' }
}
job {
name: 'worker'
tasks { key: 0 value: '10.1.2.3:8470' }
}
""" % tpu_cluster_resolver._coordinator_port
self._verifyClusterSpecEquality(actual_cluster_spec, str(expected_proto))
self.assertEqual(tpu_cluster_resolver.master(), 'grpc://10.1.2.3:8470')示例5: testOverrideTaskTypeAndIndexAndGetMaster
# 需要导入模块: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver import TPUClusterResolver [as 别名]
# 或者: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver import master [as 别名]
def testOverrideTaskTypeAndIndexAndGetMaster(self):
tpu_map = {
'projects/test-project/locations/us-central1-c/nodes/test-tpu-1': {
'health':
'HEALTHY',
'networkEndpoints': [
{
'ipAddress': '10.2.3.4',
'port': 8470,
},
{
'ipAddress': '10.2.3.5',
'port': 8470,
},
{
'ipAddress': '10.2.3.6',
'port': 8470,
},
{
'ipAddress': '10.2.3.7',
'port': 8470,
},
]
}
}
tpu_cluster_resolver = TPUClusterResolver(
project='test-project',
zone='us-central1-c',
tpu='test-tpu-1',
coordinator_name=None,
credentials=None,
service=self.mock_service_client(tpu_map=tpu_map))
self.assertEqual(tpu_cluster_resolver.master(), 'grpc://10.2.3.4:8470')
tpu_cluster_resolver.task_type = 'worker'
tpu_cluster_resolver.task_index = 3
self.assertEqual(tpu_cluster_resolver.master(), 'grpc://10.2.3.7:8470')
self.assertEqual(
tpu_cluster_resolver.master(
task_type='worker', task_index=2, rpc_layer='test'),
'test://10.2.3.6:8470')示例6: testPodResolution
# 需要导入模块: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver import TPUClusterResolver [as 别名]
# 或者: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver import master [as 别名]
def testPodResolution(self):
tpu_map = {
'projects/test-project/locations/us-central1-c/nodes/test-tpu-1': {
'health':
'HEALTHY',
'networkEndpoints': [
{
'ipAddress': '10.2.3.4',
'port': 8470,
},
{
'ipAddress': '10.2.3.5',
'port': 8470,
},
{
'ipAddress': '10.2.3.6',
'port': 8470,
},
{
'ipAddress': '10.2.3.7',
'port': 8470,
},
]
}
}
tpu_cluster_resolver = TPUClusterResolver(
tpu='test-tpu-1',
credentials=None,
service=self.mock_service_client(tpu_map=tpu_map),
coordinator_name='coordinator')
actual_cluster_spec = tpu_cluster_resolver.cluster_spec()
expected_proto = """
job {
name: 'coordinator',
tasks { key: 0 value: '10.128.1.2:%s'}
}
job {
name: 'worker'
tasks { key: 0 value: '10.2.3.4:8470' }
tasks { key: 1 value: '10.2.3.5:8470' }
tasks { key: 2 value: '10.2.3.6:8470' }
tasks { key: 3 value: '10.2.3.7:8470' }
}
""" % tpu_cluster_resolver._coordinator_port
self._verifyClusterSpecEquality(actual_cluster_spec, str(expected_proto))
self.assertEqual(tpu_cluster_resolver.master(), 'grpc://10.2.3.4:8470')示例7: testNoCallComputeMetadata
# 需要导入模块: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver import TPUClusterResolver [as 别名]
# 或者: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver import master [as 别名]
def testNoCallComputeMetadata(self):
tpu_cluster_resolver = TPUClusterResolver(tpu='/bns/foo/bar')
self.assertEqual(
compat.as_bytes('/bns/foo/bar'), tpu_cluster_resolver.master())
self.assertEqual(None, tpu_cluster_resolver.cluster_spec())示例8: testEnvironmentAndRpcDetectionForGrpcString
# 需要导入模块: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver import TPUClusterResolver [as 别名]
# 或者: from tensorflow.contrib.cluster_resolver.python.training.tpu_cluster_resolver.TPUClusterResolver import master [as 别名]
def testEnvironmentAndRpcDetectionForGrpcString(self):
tpu_cluster_resolver = TPUClusterResolver(tpu='grpc://10.1.2.3:8470')
self.assertEqual(tpu_cluster_resolver.environment, '')
self.assertEqual(tpu_cluster_resolver.rpc_layer, 'grpc')
self.assertEqual(tpu_cluster_resolver.master(), 'grpc://10.1.2.3:8470')