Esempio n. 1
0
    def testMixedModeNonOverlappingKey(self):
        cluster_spec_1 = server_lib.ClusterSpec(
            {"worker": ["worker4:2222", "worker5:2222"]})
        cluster_spec_2 = server_lib.ClusterSpec({
            "worker": {
                3: "worker0:2222",
                6: "worker1:2222",
                7: "worker2:2222"
            }
        })
        cluster_resolver_1 = SimpleClusterResolver(cluster_spec_1)
        cluster_resolver_2 = SimpleClusterResolver(cluster_spec_2)

        union_cluster = UnionClusterResolver(cluster_resolver_1,
                                             cluster_resolver_2)
        cluster_spec = union_cluster.cluster_spec()

        expected_proto = """
    job { name: 'worker' tasks { key: 0 value: 'worker4:2222' }
                         tasks { key: 1 value: 'worker5:2222' }
                         tasks { key: 3 value: 'worker0:2222' }
                         tasks { key: 6 value: 'worker1:2222' }
                         tasks { key: 7 value: 'worker2:2222' }}
    """
        self._verifyClusterSpecEquality(cluster_spec, expected_proto)
Esempio n. 2
0
    def testSingleClusterResolver(self):
        base_cluster_spec = server_lib.ClusterSpec({
            "ps": ["ps0:2222", "ps1:2222"],
            "worker": ["worker0:2222", "worker1:2222", "worker2:2222"]
        })
        simple_resolver = SimpleClusterResolver(base_cluster_spec)
        union_resolver = UnionClusterResolver(simple_resolver)

        expected_proto = """
    job { name: 'ps' tasks { key: 0 value: 'ps0:2222' }
                     tasks { key: 1 value: 'ps1:2222' } }
    job { name: 'worker' tasks { key: 0 value: 'worker0:2222' }
                         tasks { key: 1 value: 'worker1:2222' }
                         tasks { key: 2 value: 'worker2:2222' } }
    """
        actual_cluster_spec = union_resolver.cluster_spec()
        self._verifyClusterSpecEquality(actual_cluster_spec, expected_proto)
Esempio n. 3
0
    def testRetainSparseJobWithNoMerging(self):
        base_cluster_spec = server_lib.ClusterSpec({
            "worker": {
                1: "worker0:2222",
                3: "worker1:2222",
                5: "worker2:2222"
            }
        })

        base_cluster_resolver = SimpleClusterResolver(base_cluster_spec)
        union_cluster = UnionClusterResolver(base_cluster_resolver)
        cluster_spec = union_cluster.cluster_spec()

        expected_proto = """
    job { name: 'worker' tasks { key: 1 value: 'worker0:2222' }
                         tasks { key: 3 value: 'worker1:2222' }
                         tasks { key: 5 value: 'worker2:2222' } }
    """
        self._verifyClusterSpecEquality(cluster_spec, expected_proto)
Esempio n. 4
0
    def testMergedClusterResolverMaster(self):
        cluster_spec_1 = server_lib.ClusterSpec(
            {"ps": ["ps0:2222", "ps1:2222"]})
        cluster_spec_2 = server_lib.ClusterSpec(
            {"worker": ["worker0:2222", "worker1:2222", "worker2:2222"]})
        cluster_resolver_1 = SimpleClusterResolver(cluster_spec_1)
        cluster_resolver_2 = SimpleClusterResolver(cluster_spec_2)

        union_cluster = UnionClusterResolver(cluster_resolver_1,
                                             cluster_resolver_2)

        unspecified_master = union_cluster.master()
        self.assertEqual(unspecified_master, "")

        specified_master = union_cluster.master("worker", 1)
        self.assertEqual(specified_master, "worker1:2222")

        rpc_master = union_cluster.master("worker", 1, rpc_layer="grpc")
        self.assertEqual(rpc_master, "grpc://worker1:2222")
Esempio n. 5
0
    def testOverlappingJobMergedClusterResolver(self):
        cluster_spec_1 = server_lib.ClusterSpec(
            {"worker": ["worker4:2222", "worker5:2222"]})
        cluster_spec_2 = server_lib.ClusterSpec(
            {"worker": ["worker0:2222", "worker1:2222", "worker2:2222"]})
        cluster_resolver_1 = SimpleClusterResolver(cluster_spec_1)
        cluster_resolver_2 = SimpleClusterResolver(cluster_spec_2)

        union_cluster = UnionClusterResolver(cluster_resolver_1,
                                             cluster_resolver_2)
        cluster_spec = union_cluster.cluster_spec()

        expected_proto = """
    job { name: 'worker' tasks { key: 0 value: 'worker4:2222' }
                         tasks { key: 1 value: 'worker5:2222' }
                         tasks { key: 2 value: 'worker0:2222' }
                         tasks { key: 3 value: 'worker1:2222' }
                         tasks { key: 4 value: 'worker2:2222' } }
    """
        self._verifyClusterSpecEquality(cluster_spec, expected_proto)
Esempio n. 6
0
    def testOverlappingDictAndListThrowError(self):
        cluster_spec_1 = server_lib.ClusterSpec(
            {"worker": ["worker4:2222", "worker5:2222"]})
        cluster_spec_2 = server_lib.ClusterSpec({
            "worker": {
                1: "worker0:2222",
                2: "worker1:2222",
                3: "worker2:2222"
            }
        })
        cluster_resolver_1 = SimpleClusterResolver(cluster_spec_1)
        cluster_resolver_2 = SimpleClusterResolver(cluster_spec_2)

        union_cluster = UnionClusterResolver(cluster_resolver_1,
                                             cluster_resolver_2)
        self.assertRaises(KeyError, union_cluster.cluster_spec)
Esempio n. 7
0
    def testOverlappingSparseJobMergedClusterResolverThrowError(self):
        cluster_spec_1 = server_lib.ClusterSpec(
            {"worker": {
                7: "worker4:2222",
                9: "worker5:2222"
            }})
        cluster_spec_2 = server_lib.ClusterSpec({
            "worker": {
                3: "worker0:2222",
                6: "worker1:2222",
                7: "worker2:2222"
            }
        })
        cluster_resolver_1 = SimpleClusterResolver(cluster_spec_1)
        cluster_resolver_2 = SimpleClusterResolver(cluster_spec_2)

        union_cluster = UnionClusterResolver(cluster_resolver_1,
                                             cluster_resolver_2)
        self.assertRaises(KeyError, union_cluster.cluster_spec)
Esempio n. 8
0
    def testUnionClusterResolverGetProperties(self):
        cluster_spec_1 = server_lib.ClusterSpec({
            "ps": ["ps0:2222", "ps1:2222"],
            "worker": ["worker0:2222", "worker1:2222", "worker2:2222"]
        })
        resolver1 = SimpleClusterResolver(cluster_spec_1,
                                          task_type="ps",
                                          task_id=1,
                                          environment="cloud",
                                          num_accelerators={"GPU": 8},
                                          rpc_layer="grpc")

        cluster_spec_2 = server_lib.ClusterSpec({
            "ps": ["ps2:2222", "ps3:2222"],
            "worker": ["worker3:2222", "worker4:2222", "worker5:2222"]
        })
        resolver2 = SimpleClusterResolver(cluster_spec_2,
                                          task_type="worker",
                                          task_id=2,
                                          environment="local",
                                          num_accelerators={"GPU": 16},
                                          rpc_layer="http")

        union_resolver = UnionClusterResolver(resolver1, resolver2)

        self.assertEqual(union_resolver.task_type, "ps")
        self.assertEqual(union_resolver.task_id, 1)
        self.assertEqual(union_resolver.environment, "cloud")
        self.assertEqual(union_resolver.num_accelerators(), {"GPU": 8})
        self.assertEqual(union_resolver.rpc_layer, "grpc")

        union_resolver.task_type = "worker"
        union_resolver.task_id = 2
        union_resolver.rpc_layer = "http"

        self.assertEqual(union_resolver.task_type, "worker")
        self.assertEqual(union_resolver.task_id, 2)
        self.assertEqual(union_resolver.rpc_layer, "http")
    def testUnionMultipleInstanceRetrieval(self):
        worker1_name_to_ip = [
            {
                'name': 'instance1',
                'ip': '10.1.2.3'
            },
            {
                'name': 'instance2',
                'ip': '10.2.3.4'
            },
            {
                'name': 'instance3',
                'ip': '10.3.4.5'
            },
        ]

        worker2_name_to_ip = [
            {
                'name': 'instance4',
                'ip': '10.4.5.6'
            },
            {
                'name': 'instance5',
                'ip': '10.5.6.7'
            },
            {
                'name': 'instance6',
                'ip': '10.6.7.8'
            },
        ]

        ps_name_to_ip = [
            {
                'name': 'ps1',
                'ip': '10.100.1.2'
            },
            {
                'name': 'ps2',
                'ip': '10.100.2.3'
            },
        ]

        worker1_gce_cluster_resolver = GCEClusterResolver(
            project='test-project',
            zone='us-east1-d',
            instance_group='test-instance-group',
            task_type='worker',
            port=8470,
            credentials=None,
            service=self.gen_standard_mock_service_client(worker1_name_to_ip))

        worker2_gce_cluster_resolver = GCEClusterResolver(
            project='test-project',
            zone='us-east1-d',
            instance_group='test-instance-group',
            task_type='worker',
            port=8470,
            credentials=None,
            service=self.gen_standard_mock_service_client(worker2_name_to_ip))

        ps_gce_cluster_resolver = GCEClusterResolver(
            project='test-project',
            zone='us-east1-d',
            instance_group='test-instance-group',
            task_type='ps',
            port=2222,
            credentials=None,
            service=self.gen_standard_mock_service_client(ps_name_to_ip))

        union_cluster_resolver = UnionClusterResolver(
            worker1_gce_cluster_resolver, worker2_gce_cluster_resolver,
            ps_gce_cluster_resolver)

        actual_cluster_spec = union_cluster_resolver.cluster_spec()
        expected_proto = """
    job { name: 'ps' tasks { key: 0 value: '10.100.1.2:2222' }
                     tasks { key: 1 value: '10.100.2.3:2222' } }
    job { name: 'worker' tasks { key: 0 value: '10.1.2.3:8470' }
                         tasks { key: 1 value: '10.2.3.4:8470' }
                         tasks { key: 2 value: '10.3.4.5:8470' }
                         tasks { key: 3 value: '10.4.5.6:8470' }
                         tasks { key: 4 value: '10.5.6.7:8470' }
                         tasks { key: 5 value: '10.6.7.8:8470' } }
    """
        self._verifyClusterSpecEquality(actual_cluster_spec, expected_proto)