Comments (4)
commit: fbd03b1
buildURL: Build Status, Sponge
status: failed
Test output
self = shared_state = {'bucket': , 'resources': [} caplog = <_pytest.logging.LogCaptureFixture object at 0x7f147d967160>def test_autologging_enable_disable_check(self, shared_state, caplog): caplog.set_level(logging.INFO) # first enable autologging with provided tb-backed experiment aiplatform.init( project=e2e_base._PROJECT, location=e2e_base._LOCATION, experiment=self._experiment_enable_name, ) shared_state["resources"].append( aiplatform.metadata.metadata._experiment_tracker.experiment ) aiplatform.autolog() assert aiplatform.utils.autologging_utils._is_autologging_enabled() aiplatform.metadata.metadata._experiment_tracker._global_tensorboard = None # re-initializing without tb-backed experiment should disable autologging aiplatform.init( project=e2e_base._PROJECT, location=e2e_base._LOCATION, experiment=self._experiment_disable_test, )
assert "Disabling" in caplog.text
E AssertionError: assert 'Disabling' in 'INFO root:initializer.py:135 project/location updated, reset Experiment config.\n'
E + where 'INFO root:initializer.py:135 project/location updated, reset Experiment config.\n' = <_pytest.logging.LogCaptureFixture object at 0x7f147d967160>.texttests/system/aiplatform/test_autologging.py:311: AssertionError
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flaky-bot commented on June 22, 2024 commit: b0a7dd3
buildURL: Build Status, Sponge
status: failedTest output
self = shared_state = {'bucket': , 'resources': [} caplog = <_pytest.logging.LogCaptureFixture object at 0x7f69fc7c26a0>def test_autologging_enable_disable_check(self, shared_state, caplog): caplog.set_level(logging.INFO) # first enable autologging with provided tb-backed experiment aiplatform.init( project=e2e_base._PROJECT, location=e2e_base._LOCATION, experiment=self._experiment_enable_name, ) shared_state["resources"].append( aiplatform.metadata.metadata._experiment_tracker.experiment ) aiplatform.autolog() assert aiplatform.utils.autologging_utils._is_autologging_enabled() aiplatform.metadata.metadata._experiment_tracker._global_tensorboard = None # re-initializing without tb-backed experiment should disable autologging aiplatform.init( project=e2e_base._PROJECT, location=e2e_base._LOCATION, experiment=self._experiment_disable_test, )
assert "Disabling" in caplog.text
E AssertionError: assert 'Disabling' in 'INFO root:initializer.py:135 project/location updated, reset Experiment config.\n'
E + where 'INFO root:initializer.py:135 project/location updated, reset Experiment config.\n' = <_pytest.logging.LogCaptureFixture object at 0x7f69fc7c26a0>.texttests/system/aiplatform/test_autologging.py:311: AssertionError
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flaky-bot commented on June 22, 2024 commit: 56518f1
buildURL: Build Status, Sponge
status: failedTest output
self = shared_state = {'bucket': , 'resources': [} caplog = <_pytest.logging.LogCaptureFixture object at 0x7f5a496b85b0>def test_autologging_enable_disable_check(self, shared_state, caplog): caplog.set_level(logging.INFO) # first enable autologging with provided tb-backed experiment aiplatform.init( project=e2e_base._PROJECT, location=e2e_base._LOCATION, experiment=self._experiment_enable_name, ) shared_state["resources"].append( aiplatform.metadata.metadata._experiment_tracker.experiment ) aiplatform.autolog() assert aiplatform.utils.autologging_utils._is_autologging_enabled() aiplatform.metadata.metadata._experiment_tracker._global_tensorboard = None # re-initializing without tb-backed experiment should disable autologging aiplatform.init( project=e2e_base._PROJECT, location=e2e_base._LOCATION, experiment=self._experiment_disable_test, )
assert "Disabling" in caplog.text
E AssertionError: assert 'Disabling' in 'INFO root:initializer.py:135 project/location updated, reset Experiment config.\n'
E + where 'INFO root:initializer.py:135 project/location updated, reset Experiment config.\n' = <_pytest.logging.LogCaptureFixture object at 0x7f5a496b85b0>.texttests/system/aiplatform/test_autologging.py:311: AssertionError
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matthew29tang commented on June 22, 2024 Test has been deprecated and removed.
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Related Issues (20)
- tests.system.aiplatform.test_experiment_model.TestExperimentModel: test_deploy_model_with_gpu_container failed HOT 2
- tests.system.aiplatform.test_dataset.TestDataset: test_create_and_import_image_dataset failed HOT 1
- tests.system.aiplatform.test_featurestore.TestFeaturestore: test_ingest_feature_values_from_df_using_feature_time_column_and_online_read_multiple_entities failed HOT 2
- tests.system.aiplatform.test_featurestore.TestFeaturestore: test_ingest_feature_values_from_df_using_feature_time_datetime_and_online_read_single_entity failed HOT 1
- tests.system.aiplatform.test_model_monitoring.TestModelDeploymentMonitoring: test_create_endpoint failed HOT 1
- tests.system.aiplatform.test_model_upload.TestModelUploadAndUpdate: test_upload_and_deploy_xgboost_model failed HOT 1
- tests.system.aiplatform.test_model_version_management.TestVersionManagement: test_upload_deploy_manage_versioned_model failed HOT 1
- tests.system.aiplatform.test_private_endpoint.TestPrivateEndpoint: test_create_deploy_delete_private_endpoint failed HOT 1
- tests.system.aiplatform.test_vizier.TestVizier: test_vizier_trial_deletion failed HOT 1
- MatchingEngineIndex.update_embeddings in Vertex AI notebook times out after 900 seconds HOT 1
- Vertex AI Pipelines Runner broken with urllib3 HOT 2
- tests.system.aiplatform.test_e2e_forecasting.TestEndToEndForecasting: test_end_to_end_forecasting[TemporalFusionTransformerForecastingTrainingJob] failed HOT 1
- `grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC` HOT 5
- Specifying artifact regististry images with tags fails HOT 7
- [Docs] Embedding Model Name example updated with latest release HOT 2
- IndexEndpoint.deploy_index fails with 900s timeout issue HOT 2
- Reading index datapoints within VPC network issue in Matching Engine HOT 7
- Vertex AI Pipelines using TPUs Internal Error encountered
- TextGenerationModel tune_model() call fails with PermissionError HOT 1
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