def test_validate_machine_type_service_cluster(self):
client_workers = [
ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.1', 'n1-standard-16', 'europe-west4-a'),
]
service_workers = [
ServiceWorker('10.0.0.0', '8470', 'v3-8', 'europe-west4-a',
'pytorch-0.2'),
ServiceWorker('10.0.0.1', '8470', 'v2-8', 'europe-west4-a',
'pytorch-0.2'),
]
no_check_cluster = Cluster(client_workers,
service_workers,
check_service_machine_type=False,
client_master_ip='10.0.0.0')
no_check_cluster.validate() # Does not raise exception
check_cluster = Cluster(client_workers,
service_workers,
client_master_ip='10.0.0.0')
self.assertRaisesRegex(
RuntimeError,
'All service_workers must have the same machine_type',
check_cluster.validate)
def test_create_bad_client_workers(self):
service_workers = [
ServiceWorker('10.0.0.1', '8470', 'v3-8', 'europe-west4-a',
'pytorch-0.2'),
]
client_workers = [
ClientWorker('10.0.0.1', 'v3-8', 'europe-west4-a'),
ServiceWorker('10.0.0.1', '8470', 'v3-8', 'europe-west4-a',
'pytorch-0.2'),
]
self.assertRaisesRegex(
ValueError,
'client_workers argument must be a list of ClientWorker', Cluster,
client_workers, service_workers)
def test_validate_bad_zone_cluster(self):
client_workers = [
ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.1', 'n1-standard-16', 'us-central1-b'),
]
service_workers = [
ServiceWorker('10.0.0.0', '8470', 'v3-8', 'europe-west4-a',
'pytorch-0.2'),
ServiceWorker('10.0.0.1', '8470', 'v3-8', 'europe-west4-a',
'pytorch-0.2'),
]
cluster = Cluster(client_workers, service_workers)
self.assertRaisesRegex(RuntimeError,
'All workers must be in the same zone',
cluster.validate)
def test_healthy_pod_service_cluster(self):
tpu_map = {
'fake-pod': {
'state':
'READY',
'health':
'HEALTHY',
'runtime_version':
'pytorch-nightly',
'accelerator_type':
'v3-32',
'network_endpoints': [{
'ipAddress': f'10.0.0.{ip}',
'port': '8470'
} for ip in range(4)],
}
}
self.mock_ctc.side_effect = build_mock_cloud_tpu_client_library(
tpu_map)
tpus = list(tpu_map.keys())
cr = ClusterResolver(tpus)
service_workers = cr.get_service_workers()
expected = [
ServiceWorker(internal_ip=f'10.0.0.{ip}',
port='8470',
machine_type='v3-32',
zone='fake-zone',
runtime_version='pytorch-nightly',
tpu='fake-pod') for ip in range(4)
]
self.assertCountEqual(expected, service_workers)
def add_service_worker(tpu_name):
ctc = cloud_tpu_client.Client(tpu=tpu_name)
tpu_name = ctc.name()
if ctc.state() != 'READY':
raise RuntimeError(('TPU {tpu_name} is not READY yet. '
'Re-run when all TPUs are READY').format(
tpu_name=tpu_name))
if ctc.health() != 'HEALTHY':
raise RuntimeError(('TPU {tpu_name} is not HEALTHY yet. '
'Re-run when all TPUs are HEALTHY').format(
tpu_name=tpu_name))
runtime_version = ctc.runtime_version()
machine_type = ctc.accelerator_type()
zone = self._parse_resource_url(ctc._full_name(), 'locations')
network_endpoints = ctc.network_endpoints()
for endpoint in network_endpoints:
worker = ServiceWorker(internal_ip=endpoint['ipAddress'],
port=endpoint['port'],
machine_type=machine_type,
zone=zone,
runtime_version=runtime_version,
tpu=tpu_name)
workers.append(worker)
def test_healthy_tpuvm_cluster(self):
# Using TPUVM flavor of metadata.
mock.patch.object(ClusterResolver, 'get_instance_metadata',
mock_request_tpuvm_metadata).start()
noop_compute_service = build_mock_compute_service({}, {})
self.mock_discovery.side_effect = build_mock_services_fn(
noop_compute_service)
tpu_map = {
'fake-pod': {
'state':
'READY',
'health':
'HEALTHY',
'runtime_version':
'v2-nightly',
'accelerator_type':
'v3-32',
'api_version':
'V2_ALPHA1',
'network_endpoints': [{
'ipAddress': f'10.1.0.{index}',
'port': '8470',
} for index in range(4)],
}
}
self.mock_ctc.side_effect = build_mock_cloud_tpu_client_library(
tpu_map)
tpus = list(tpu_map.keys())
cr = ClusterResolver(tpus)
cluster = cr.get_cluster()
expected_client_workers = [
ClientWorker(internal_ip=f'10.1.0.{index}',
machine_type='v3-32',
zone='fake-zone',
hostname=f'{TPUVM_HOSTNAME_PREFIX}{index}')
for index in range(4)
]
expected_service_workers = [
ServiceWorker(internal_ip=f'10.1.0.{ip}',
port='8470',
machine_type='v3-32',
zone='fake-zone',
runtime_version='v2-nightly',
tpu='fake-pod') for ip in range(4)
]
expected = Cluster(expected_client_workers,
expected_service_workers,
client_master_ip='10.1.0.0')
self.assertEqual(expected, cluster)
mock.patch.object(ClusterResolver, 'get_instance_metadata',
mock_request_metadata).start()
def test_validate_diff_num_workers(self):
client_workers = [
ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.1', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.2', 'n1-standard-16', 'europe-west4-a'),
]
service_workers = [
ServiceWorker('10.0.0.0', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
ServiceWorker('10.0.0.1', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
ServiceWorker('10.0.0.2', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
ServiceWorker('10.0.0.3', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
]
cluster = Cluster(client_workers, service_workers)
self.assertRaisesRegex(
RuntimeError,
'The client_workers and service_workers must have a 1:1 mapping',
cluster.validate)
def test_validate_good_cluster(self):
client_workers = [
ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.1', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.2', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.3',
'n1-standard-16',
'europe-west4-a',
hostname='test'),
]
service_workers = [
ServiceWorker('10.0.0.0', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
ServiceWorker('10.0.0.1', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
ServiceWorker('10.0.0.2', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
ServiceWorker('10.0.0.3', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
]
cluster = Cluster(client_workers, service_workers)
cluster.validate() # Does not raise exception
def test_validate_diff_runtime_versions(self):
client_workers = [
ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.1', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.2', 'n1-standard-16', 'europe-west4-a'),
ClientWorker('10.0.0.3', 'n1-standard-16', 'europe-west4-a'),
]
service_workers = [
ServiceWorker('10.0.0.0', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.1'),
ServiceWorker('10.0.0.1', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
ServiceWorker('10.0.0.2', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.1'),
ServiceWorker('10.0.0.3', '8470', 'v3-32', 'europe-west4-a',
'pytorch-0.2'),
]
cluster = Cluster(client_workers, service_workers)
self.assertRaisesRegex(
RuntimeError,
'All service workers must have the same runtime_version.*',
cluster.validate)
def add_tpu_worker(tpu_name):
ctc = cloud_tpu_client.Client(tpu=tpu_name)
tpu_name = ctc.name()
if ctc.state() != 'READY':
raise RuntimeError(('TPU {tpu_name} is not READY yet. '
'Re-run when all TPUs are READY').format(
tpu_name=tpu_name))
if ctc.health() != 'HEALTHY':
raise RuntimeError(('TPU {tpu_name} is not HEALTHY yet. '
'Re-run when all TPUs are HEALTHY').format(
tpu_name=tpu_name))
runtime_version = ctc.runtime_version()
machine_type = ctc.accelerator_type()
zone = ClusterResolver._parse_resource_url(ctc._full_name(),
'locations')
network_endpoints = ctc.network_endpoints()
if as_client_worker:
ip_to_host_name = ClusterResolver._get_internal_ip_to_hostname_mapping(
tpu_name, zone, len(network_endpoints))
for endpoint in network_endpoints:
if as_client_worker:
internal_ip = endpoint['ipAddress']
hostname = ip_to_host_name[internal_ip]
worker = ClientWorker(internal_ip=internal_ip,
machine_type=machine_type,
zone=zone,
hostname=hostname)
else:
worker = ServiceWorker(internal_ip=endpoint['ipAddress'],
port=endpoint['port'],
machine_type=machine_type,
zone=zone,
runtime_version=runtime_version,
tpu=tpu_name)
workers.append(worker)
def test_healthy_sea_service_cluster(self):
noop_compute_service = build_mock_compute_service({}, {})
self.mock_discovery.side_effect = build_mock_services_fn(
noop_compute_service)
tpu_map = {
f'fake-tpu-{ip}': {
'state':
'READY',
'health':
'HEALTHY',
'runtime_version':
'pytorch-nightly',
'accelerator_type':
'v3-8',
'network_endpoints': [{
'ipAddress': f'10.0.0.{ip}',
'port': '8470'
}],
}
for ip in range(256)
}
self.mock_ctc.side_effect = build_mock_cloud_tpu_client_library(
tpu_map)
tpus = list(tpu_map.keys())
cr = ClusterResolver(tpus)
service_workers = cr.get_service_workers()
expected = [
ServiceWorker(internal_ip=f'10.0.0.{ip}',
port='8470',
machine_type='v3-8',
zone='fake-zone',
runtime_version='pytorch-nightly',
tpu=f'fake-tpu-{ip}') for ip in range(256)
]
self.assertCountEqual(expected, service_workers)
def test_healthy_cluster(self):
list_instances_map = {
'fake-ig': {
'kind':
'compute#instanceGroupsListInstances',
'items': [
gen_fake_ig_list_instances_entry('fake-ig-' + c, 'RUNNING')
for c in 'abcd'
],
},
}
instance_resp_map = {
'fake-ig-' + c:
gen_fake_instances_get_entry('fake-ig-' + c, 'n1-standard-16',
'10.0.0.' + ip, 'RUNNING')
for c, ip in zip('abcd', '0123')
}
compute_service = build_mock_compute_service(instance_resp_map,
list_instances_map)
self.mock_discovery.side_effect = build_mock_services_fn(
compute_service)
tpu_map = {
'fake-pod': {
'state':
'READY',
'health':
'HEALTHY',
'runtime_version':
'pytorch-nightly',
'accelerator_type':
'v3-32',
'network_endpoints': [{
'ipAddress': f'10.0.0.{ip}',
'port': '8470'
} for ip in range(4)],
}
}
self.mock_ctc.side_effect = build_mock_cloud_tpu_client_library(
tpu_map)
tpus = list(tpu_map.keys())
cr = ClusterResolver(tpus)
cluster = cr.get_cluster()
expected_client_workers = [
ClientWorker(internal_ip='10.0.0.' + ip,
machine_type='n1-standard-16',
zone='fake-zone',
hostname='fake-ig-' + c)
for c, ip in zip('abcd', '0123')
]
expected_service_workers = [
ServiceWorker(internal_ip=f'10.0.0.{ip}',
port='8470',
machine_type='v3-32',
zone='fake-zone',
runtime_version='pytorch-nightly',
tpu='fake-pod') for ip in range(4)
]
expected = Cluster(expected_client_workers, expected_service_workers)
self.assertEqual(expected, cluster)
