How to use service_workers method in Playwright Python

Best Python code snippet using playwright-python

test_xla_dist.py

Source:test_xla_dist.py Github

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...52 Cluster,53 client_workers,54 service_workers,55 client_master_ip='10.0.0.1')56 def test_create_bad_service_workers(self):57 client_workers = [58 ClientWorker(59 '10.0.0.1', 'n1-standard-16', 'europe-west4-a', hostname='test'),60 ]61 self.assertRaisesRegex(62 ValueError,63 'service_workers argument must be a list of ServiceWorker',64 Cluster,65 client_workers,66 client_workers,67 client_master_ip='10.0.0.1')68 def test_validate_machine_type_client_cluster(self):69 client_workers = [70 ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),...

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xla_dist.py

Source:xla_dist.py Github

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...285 'networkInterfaces/networkIP,status,zone'))286 batch.add(req, add_client_worker)287 batch.execute()288 return workers289 def get_service_workers(self):290 """Gets TPU VM cluster info.291 Calls the TPU CLH to get TPU node data and returns list of TPU worker292 VMs internal IP addresses. If zone and project are not specified at293 ClusterResolver init time, we infer these bits from GCE metadata.294 Returns:295 A list of ServiceWorker.296 Raises:297 RuntimeError: If the TPU DNE or the TPU is in not in HEALTHY state.298 """299 workers = []300 batch = self._tpu_service.new_batch_http_request()301 def add_service_worker(request_id, resp, exception):302 """Callback for each request in BatchHttpRequest."""303 if exception is not None:304 raise exception305 tpu_name = self._parse_resource_url(resp['name'], 'nodes')306 zone = self._parse_resource_url(resp['name'], 'locations')307 if resp['state'] != 'READY':308 raise RuntimeError(309 ('TPU {tpu_name} is not READY yet. '310 'Re-run when all TPUs are READY').format(tpu_name=tpu_name))311 if 'health' not in resp or resp['health'] != 'HEALTHY':312 raise RuntimeError(313 ('TPU {tpu_name} is not HEALTHY yet. '314 'Re-run when all TPUs are HEALTHY').format(tpu_name=tpu_name))315 sw_version = resp['tensorflowVersion']316 machine_type = resp['acceleratorType']317 for endpoint in resp['networkEndpoints']:318 worker = ServiceWorker(319 internal_ip=endpoint['ipAddress'],320 port=endpoint['port'],321 machine_type=machine_type,322 zone=zone,323 sw_version=sw_version)324 workers.append(worker)325 for tpu in self._tpus:326 tpu_fq_name = 'projects/{project}/locations/{location}/nodes/{node}'.format(327 project=self._project, location=self._zone, node=tpu)328 req = self._tpu_service.projects().locations().nodes().get(329 name=tpu_fq_name,330 fields=('acceleratorType,health,ipAddress,name,'331 'networkEndpoints,state,tensorflowVersion'))332 batch.add(req, add_service_worker)333 batch.execute()334 return workers335 def get_cluster(self):336 """Gets client and server side cluster info.337 If a list of vms is not provided at ClusterResolver crate time the current338 VM's instance group is picked up and we use that to resolve the VM mesh.339 Returns:340 A Cluster object with both client and server mesh configuration.341 Raises:342 RuntimeError: If the VM cluster is not healthy. Also if the TPU343 cluster is not healthy.344 """345 client_workers = self.get_client_workers()346 service_workers = self.get_service_workers()347 cluster = Cluster(client_workers, service_workers)348 cluster.validate()349 return cluster350class DistributedExecutor(object):351 SCRIPT_PATH_TMPL = '/tmp/{pid}/dist_training_ptxla_{worker}.sh'352 MASTER_IDX = 0353 MESH_SERVICE_PORT = 8477 # Use single port to disallow concurrent runs354 DIST_ENV_VARS = [355 'XRT_TPU_CONFIG',356 'XRT_LOCAL_WORKER',357 'XRT_MESH_SERVICE_ADDRESS',358 'XRT_SHARD_WORLD_SIZE',359 'XRT_SHARD_ORDINAL',360 ]...

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xla_dist_test.py

Source:xla_dist_test.py Github

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...45 ]46 self.assertRaisesRegex(47 ValueError, 'client_workers argument must be a list of ClientWorker',48 Cluster, client_workers, service_workers)49 def test_create_bad_service_workers(self):50 client_workers = [51 ClientWorker(52 '10.0.0.1', 'n1-standard-16', 'europe-west4-a', hostname='test'),53 ]54 self.assertRaisesRegex(55 ValueError, 'service_workers argument must be a list of ServiceWorker',56 Cluster, client_workers, client_workers)57 def test_validate_machine_type_client_cluster(self):58 client_workers = [59 ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),60 ClientWorker('10.0.0.1', 'n1-standard-8', 'europe-west4-a'),61 ]62 service_workers = [63 ServiceWorker('10.0.0.0', '8470', 'v3-8', 'europe-west4-a',64 'pytorch-0.2'),65 ServiceWorker('10.0.0.1', '8470', 'v3-8', 'europe-west4-a',66 'pytorch-0.2'),67 ]68 no_check_cluster = Cluster(69 client_workers, service_workers, check_client_machine_type=False)70 no_check_cluster.validate() # Does not raise exception71 check_cluster = Cluster(client_workers, service_workers)72 self.assertRaisesRegex(73 RuntimeError, 'All client_workers must have the same machine_type',74 check_cluster.validate)75 def test_validate_machine_type_service_cluster(self):76 client_workers = [77 ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),78 ClientWorker('10.0.0.1', 'n1-standard-16', 'europe-west4-a'),79 ]80 service_workers = [81 ServiceWorker('10.0.0.0', '8470', 'v3-8', 'europe-west4-a',82 'pytorch-0.2'),83 ServiceWorker('10.0.0.1', '8470', 'v2-8', 'europe-west4-a',84 'pytorch-0.2'),85 ]86 no_check_cluster = Cluster(87 client_workers, service_workers, check_service_machine_type=False)88 no_check_cluster.validate() # Does not raise exception89 check_cluster = Cluster(client_workers, service_workers)90 self.assertRaisesRegex(91 RuntimeError, 'All service_workers must have the same machine_type',92 check_cluster.validate)93 def test_validate_bad_zone_cluster(self):94 client_workers = [95 ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),96 ClientWorker('10.0.0.1', 'n1-standard-16', 'us-central1-b'),97 ]98 service_workers = [99 ServiceWorker('10.0.0.0', '8470', 'v3-8', 'europe-west4-a',100 'pytorch-0.2'),101 ServiceWorker('10.0.0.1', '8470', 'v3-8', 'europe-west4-a',102 'pytorch-0.2'),103 ]104 cluster = Cluster(client_workers, service_workers)105 self.assertRaisesRegex(RuntimeError, 'All workers must be in the same zone',106 cluster.validate)107 def test_validate_diff_num_workers(self):108 client_workers = [109 ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),110 ClientWorker('10.0.0.1', 'n1-standard-16', 'europe-west4-a'),111 ClientWorker('10.0.0.2', 'n1-standard-16', 'europe-west4-a'),112 ]113 service_workers = [114 ServiceWorker('10.0.0.0', '8470', 'v3-32', 'europe-west4-a',115 'pytorch-0.2'),116 ServiceWorker('10.0.0.1', '8470', 'v3-32', 'europe-west4-a',117 'pytorch-0.2'),118 ServiceWorker('10.0.0.2', '8470', 'v3-32', 'europe-west4-a',119 'pytorch-0.2'),120 ServiceWorker('10.0.0.3', '8470', 'v3-32', 'europe-west4-a',121 'pytorch-0.2'),122 ]123 cluster = Cluster(client_workers, service_workers)124 self.assertRaisesRegex(125 RuntimeError,126 'The client_workers and service_workers must have a 1:1 mapping',127 cluster.validate)128 def test_validate_empty_workers(self):129 cluster = Cluster([], [])130 self.assertRaisesRegex(131 RuntimeError,132 'Both client_workers and service_workers should not be empty',133 cluster.validate)134 def test_validate_diff_sw_versions(self):135 client_workers = [136 ClientWorker('10.0.0.0', 'n1-standard-16', 'europe-west4-a'),137 ClientWorker('10.0.0.1', 'n1-standard-16', 'europe-west4-a'),138 ClientWorker('10.0.0.2', 'n1-standard-16', 'europe-west4-a'),139 ClientWorker('10.0.0.3', 'n1-standard-16', 'europe-west4-a'),140 ]141 service_workers = [142 ServiceWorker('10.0.0.0', '8470', 'v3-32', 'europe-west4-a',143 'pytorch-0.1'),144 ServiceWorker('10.0.0.1', '8470', 'v3-32', 'europe-west4-a',145 'pytorch-0.2'),146 ServiceWorker('10.0.0.2', '8470', 'v3-32', 'europe-west4-a',147 'pytorch-0.1'),148 ServiceWorker('10.0.0.3', '8470', 'v3-32', 'europe-west4-a',149 'pytorch-0.2'),150 ]151 cluster = Cluster(client_workers, service_workers)152 self.assertRaisesRegex(153 RuntimeError, 'All service workers must have the same sw_version.*',154 cluster.validate)155def mock_request_metadata(cls, metadata):156 fake_metadata = {157 'project/project-id': 'fake-project',158 'instance/zone': 'project/fake-project/zones/fake-zone',159 'instance/name': 'fake-ig-a',160 }161 return fake_metadata[metadata]162def build_mock_tpu_service(get_tpu_resp):163 def get_tpu_fn(*args, **kwargs):164 node_name = ClusterResolver._parse_resource_url(kwargs['name'], 'nodes')165 resp = get_tpu_resp[node_name]166 get_node = mock.MagicMock()167 get_node.execute.return_value = resp168 return get_node169 nodes = mock.MagicMock()170 nodes.get.side_effect = get_tpu_fn171 locations = mock.MagicMock()172 locations.nodes.return_value = nodes173 projects = mock.MagicMock()174 projects.locations.return_value = locations175 tpu_service = mock.MagicMock()176 tpu_service.projects.return_value = projects177 tpu_service.new_batch_http_request.return_value = build_mock_batch_call()178 return tpu_service179def build_mock_compute_service(get_instance_map, list_instances_map):180 # Instances mock181 def get_instance_fn(*args, **kwargs):182 resp = get_instance_map[kwargs['instance']]183 get_instance = mock.MagicMock()184 get_instance.execute.return_value = resp185 get_instance.resumable = None186 return get_instance187 instances = mock.MagicMock()188 instances.get.side_effect = get_instance_fn189 # Instance groups mock190 def list_instances_fn(*args, **kwargs):191 resp = list_instances_map[kwargs['instanceGroup']]192 list_instances = mock.MagicMock()193 list_instances.execute.return_value = resp194 return list_instances195 instance_groups = mock.MagicMock()196 instance_groups.listInstances.side_effect = list_instances_fn197 # Compute service mock198 compute_service = mock.MagicMock()199 compute_service.instances.return_value = instances200 compute_service.instanceGroups.return_value = instance_groups201 compute_service.new_batch_http_request.return_value = build_mock_batch_call()202 return compute_service203def build_mock_services_fn(mock_compute_service, mock_tpu_service):204 def mock_google_services(serviceName, version, **kwargs):205 if serviceName == 'compute':206 return mock_compute_service207 elif serviceName == 'tpu':208 return mock_tpu_service209 else:210 raise RuntimeError('Service name "{}" is not mocked.'.format(serviceName))211 return mock_google_services212def build_mock_batch_call():213 batcher = mock.MagicMock()214 def build_execute_requests_fn(call_list):215 def execute_requests(*args):216 del args217 for args, _ in call_list:218 req, callback = args219 resp = None220 exception = None221 try:222 resp = req.execute()223 except e:224 exception = e225 callback(uuid.uuid4(), resp, exception)226 return execute_requests227 batcher.execute.side_effect = build_execute_requests_fn(228 batcher.add.call_args_list)229 return batcher230def gen_fake_instances_get_entry(instance_name, machine_type, internal_ip,231 status):232 return {233 'machineType':234 '{}/machineTypes/{}'.format(PROJECT_ZONE_PREFIX, machine_type),235 'metadata': {236 'fingerprint': 'abc',237 'items': [{238 'key':239 'instance-template',240 'value': ('projects/123456789012/global/'241 'instanceTemplates/fake-ig-template'),242 }, {243 'key':244 'created-by',245 'value': ('projects/123456789012/zones/fake-zone/'246 'instanceGroupManagers/fake-ig'),247 }],248 'kind': 'compute#metadata',249 },250 'selfLink':251 '{}/instances/{}'.format(PROJECT_ZONE_PREFIX, instance_name),252 'networkInterfaces': [{253 'networkIP': internal_ip,254 }],255 'status':256 status,257 'zone':258 PROJECT_ZONE_PREFIX,259 }260def gen_fake_ig_list_instances_entry(instance_name, status):261 return {262 'instance': '{}/instances/{}'.format(PROJECT_ZONE_PREFIX, instance_name),263 'status': status,264 }265def gen_fake_tpu_entry(accelerator_type,266 internal_ips,267 name,268 state,269 sw_version,270 health=None):271 resp = {272 'acceleratorType': accelerator_type,273 'ipAddress': internal_ips[0],274 'name': 'projects/fake-project/locations/fake-zone/nodes/{}'.format(name),275 'networkEndpoints': [{276 'ipAddress': internal_ip,277 'port': 8470278 } for internal_ip in internal_ips],279 'state': state,280 'tensorflowVersion': sw_version,281 }282 if health is not None:283 resp['health'] = health284 return resp285class ClusterResolverTest(unittest.TestCase):286 def setUp(self):287 super(ClusterResolverTest, self).setUp()288 self.addCleanup(mock.patch.stopall)289 mock.patch.object(ClusterResolver, '_get_instance_metadata',290 mock_request_metadata).start()291 mock.patch.object(GoogleCredentials, 'get_application_default',292 lambda *args, **kwargs: None).start()293 self.mock_discovery = mock.patch.object(294 discovery, 'build', autospec=True).start()295 def test_bad_empty_tpu_constructor(self):296 tpus = ''297 self.assertRaisesRegex(ValueError, 'tpu must be a non-empty string',298 ClusterResolver, tpus)299 def test_bad_none_tpu_constructor(self):300 tpus = None301 self.assertRaisesRegex(ValueError, 'tpu must be a non-empty string',302 ClusterResolver, tpus)303 def test_bad_vm_constructor(self):304 tpus = ['fake-tpu']305 vms = {'abc'}306 self.assertRaisesRegex(ValueError,307 'vms must be a non-empty list if provided',308 ClusterResolver, tpus, vms)309 def test_healthy_instance_group_client_cluster(self):310 # Arrange311 list_instances_map = {312 'fake-ig': {313 'kind':314 'compute#instanceGroupsListInstances',315 'items': [316 gen_fake_ig_list_instances_entry('fake-ig-' + c, 'RUNNING')317 for c in 'abcd'318 ],319 },320 }321 instance_resp_map = {322 'fake-ig-' + c:323 gen_fake_instances_get_entry('fake-ig-' + c, 'n1-standard-16',324 '10.0.0.' + ip, 'RUNNING')325 for c, ip in zip('abcd', '0123')326 }327 compute_service = build_mock_compute_service(instance_resp_map,328 list_instances_map)329 noop_tpu_service = build_mock_tpu_service({})330 self.mock_discovery.side_effect = build_mock_services_fn(331 compute_service, noop_tpu_service)332 # Act333 cr = ClusterResolver(['fake-tpu'])334 vm_cluster = cr.get_client_workers()335 # Assert336 expected = [337 ClientWorker(338 internal_ip='10.0.0.' + ip,339 machine_type='n1-standard-16',340 zone='fake-zone',341 hostname='fake-ig-' + c) for c, ip in zip('abcd', '0123')342 ]343 self.assertCountEqual(expected, vm_cluster)344 def test_healthy_vm_list_client_cluster(self):345 # Arrange346 list_instances_map = {}347 instance_resp_map = {348 'fake-ig-' + c:349 gen_fake_instances_get_entry('fake-ig-' + c, 'n1-standard-16',350 '10.0.0.' + ip, 'RUNNING')351 for c, ip in zip('abcd', '0123')352 }353 compute_service = build_mock_compute_service(instance_resp_map,354 list_instances_map)355 noop_tpu_service = build_mock_tpu_service({})356 self.mock_discovery.side_effect = build_mock_services_fn(357 compute_service, noop_tpu_service)358 # Act359 vms = ['fake-ig-a', 'fake-ig-b', 'fake-ig-c', 'fake-ig-d']360 cr = ClusterResolver(['fake-tpu'], vms=vms)361 vm_cluster = cr.get_client_workers()362 # Assert363 expected = [364 ClientWorker(365 internal_ip='10.0.0.' + ip,366 machine_type='n1-standard-16',367 zone='fake-zone',368 hostname='fake-ig-' + c) for c, ip in zip('abcd', '0123')369 ]370 self.assertCountEqual(expected, vm_cluster)371 def test_empty_instance_group_client_cluster(self):372 list_instances_map = {373 'fake-ig': {374 'kind': 'compute#instanceGroupsListInstances',375 'items': [],376 },377 }378 instance_resp_map = {379 'fake-ig-a':380 gen_fake_instances_get_entry('fake-ig-a', 'n1-standard-16',381 '10.0.0.0', 'RUNNING'),382 }383 compute_service = build_mock_compute_service(instance_resp_map,384 list_instances_map)385 noop_tpu_service = build_mock_tpu_service({})386 self.mock_discovery.side_effect = build_mock_services_fn(387 compute_service, noop_tpu_service)388 # Act389 cr = ClusterResolver(['fake-tpu'])390 # Assert391 self.assertRaisesRegex(RuntimeError, '.*vms is empty in instance group.*',392 cr.get_client_workers)393 def test_unhealthy_client_cluster(self):394 # Arrange395 list_instances_map = {396 'fake-ig': {397 'kind':398 'compute#instanceGroupsListInstances',399 'items': [400 gen_fake_ig_list_instances_entry('fake-ig-a', 'RUNNING'),401 gen_fake_ig_list_instances_entry('fake-ig-b', 'PROVISIONING'),402 gen_fake_ig_list_instances_entry('fake-ig-c', 'RUNNING'),403 gen_fake_ig_list_instances_entry('fake-ig-d', 'RUNNING'),404 ],405 },406 }407 instance_resp_map = {408 'fake-ig-a':409 gen_fake_instances_get_entry('fake-ig-a', 'n1-standard-16',410 '10.0.0.0', 'RUNNING'),411 'fake-ig-b':412 gen_fake_instances_get_entry('fake-ig-b', 'n1-standard-16',413 '10.0.0.1', 'PROVISIONING'),414 'fake-ig-c':415 gen_fake_instances_get_entry('fake-ig-c', 'n1-standard-16',416 '10.0.0.2', 'RUNNING'),417 'fake-ig-d':418 gen_fake_instances_get_entry('fake-ig-d', 'n1-standard-16',419 '10.0.0.3', 'RUNNING'),420 }421 compute_service = build_mock_compute_service(instance_resp_map,422 list_instances_map)423 noop_tpu_service = build_mock_tpu_service({})424 self.mock_discovery.side_effect = build_mock_services_fn(425 compute_service, noop_tpu_service)426 # Act427 cr = ClusterResolver(['fake-tpu'])428 # Assert429 self.assertRaisesRegex(RuntimeError,430 'Instance fake-ig-b is not running yet.*',431 cr.get_client_workers)432 def test_healthy_pod_service_cluster(self):433 tpu_resp_map = {434 'fake-pod':435 gen_fake_tpu_entry(436 'v3-2048', ['10.0.0.{}'.format(ip) for ip in range(256)],437 'fake-pod',438 'READY',439 'pytorch-nightly',440 health='HEALTHY'),441 }442 noop_compute_service = build_mock_compute_service({}, {})443 tpu_service = build_mock_tpu_service(tpu_resp_map)444 self.mock_discovery.side_effect = build_mock_services_fn(445 noop_compute_service, tpu_service)446 tpus = list(tpu_resp_map.keys())447 cr = ClusterResolver(tpus)448 service_workers = cr.get_service_workers()449 expected = [450 ServiceWorker(451 internal_ip='10.0.0.{}'.format(ip),452 port='8470',453 machine_type='v3-2048',454 zone='fake-zone',455 sw_version='pytorch-nightly') for ip in range(256)456 ]457 self.assertCountEqual(expected, service_workers)458 def test_healthy_sea_service_cluster(self):459 tpu_resp_map = {460 'fake-tpu-{}'.format(ip): gen_fake_tpu_entry(461 'v3-8', ['10.0.0.{}'.format(ip)],462 'fake-tpu-{}'.format(ip),463 'READY',464 'pytorch-nightly',465 health='HEALTHY') for ip in range(256)466 }467 noop_compute_service = build_mock_compute_service({}, {})468 tpu_service = build_mock_tpu_service(tpu_resp_map)469 self.mock_discovery.side_effect = build_mock_services_fn(470 noop_compute_service, tpu_service)471 tpus = list(tpu_resp_map.keys())472 cr = ClusterResolver(tpus)473 service_workers = cr.get_service_workers()474 expected = [475 ServiceWorker(476 internal_ip='10.0.0.{}'.format(ip),477 port='8470',478 machine_type='v3-8',479 zone='fake-zone',480 sw_version='pytorch-nightly') for ip in range(256)481 ]482 self.assertCountEqual(expected, service_workers)483 def test_unhealthy_pod_service_cluster(self):484 tpu_resp_map = {485 'fake-pod':486 gen_fake_tpu_entry(487 'v3-128', ['10.0.0.{}'.format(ip) for ip in range(16)],...

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cluster.py

Source:cluster.py Github

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...63 def get_client_master(self):64 return self._client_master65 def get_client_workers(self):66 return self._client_workers67 def get_service_workers(self):68 return self._service_workers69 def validate(self):70 """Validates the current cluster configuration.71 Raises:72 RuntimeError: If the cluster is misconfigured, this validation will73 raise an error. For example, if the VMs are in different zones,74 or not all of the CPU workers have the same size (number of CPU75 cores, RAM size) we raise an exception. For TPUs we similarly76 raise an exception if different zones or machine/accelerator_type.77 """78 if len(self._client_workers) == 0 or len(self._service_workers) == 0:79 raise RuntimeError(80 'Both client_workers and service_workers should not be empty')81 if len(self._client_workers) != len(self._service_workers):...

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