Como monitorar modelos da Vertex AI avaliações

"service account doesn't have sufficient IAM permission(s) for writing objects to the Google Cloud Storage bucket" even after trying it multiple times

Istvan B. · Revisado há about 1 year

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Sujith Reddy K. · Revisado há about 1 year

Lab is broken. Model import failed with error message: model output: ['Using endpoint [https://us-east1-aiplatform.googleapis.com/]', 'ERROR: (gcloud.ai.models.upload) FAILED_PRECONDITION: Service account `service-1062376159189@gcp-sa-aiplatform.iam.gserviceaccount.com` does not have `[storage.objects.get]` IAM permission(s) to the directory "gs://mco-mm/churn". Please either copy the files to the Google Cloud Storage bucket owned by your project, or grant the required IAM permission(s) to the service account.'] Model churn/churn". Please either copy the files to the Google Cloud Storage bucket owned by your project, or grant the required IAM permission(s) to the service account. created.

Marcelo B. · Revisado há about 1 year

Urunkar S. · Revisado há about 1 year

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Deepak M. · Revisado há about 1 year

Prakash R. · Revisado há about 1 year

José A. · Revisado há about 1 year

I got a bunch of errors. Here is the first one ``` --------------------------------------------------------------------------- _InactiveRpcError Traceback (most recent call last) ~/.local/lib/python3.10/site-packages/google/api_core/grpc_helpers.py in error_remapped_callable(*args, **kwargs) 75 try: ---> 76 return callable_(*args, **kwargs) 77 except grpc.RpcError as exc: ~/.local/lib/python3.10/site-packages/grpc/_channel.py in __call__(self, request, timeout, metadata, credentials, wait_for_ready, compression) 1180 ) -> 1181 return _end_unary_response_blocking(state, call, False, None) 1182 ~/.local/lib/python3.10/site-packages/grpc/_channel.py in _end_unary_response_blocking(state, call, with_call, deadline) 1005 else: -> 1006 raise _InactiveRpcError(state) # pytype: disable=not-instantiable 1007 _InactiveRpcError: <_InactiveRpcError of RPC that terminated with: status = StatusCode.INVALID_ARGUMENT details = "Request contains an invalid argument." debug_error_string = "UNKNOWN:Error received from peer ipv4:172.217.203.95:443 {grpc_message:"Request contains an invalid argument.", grpc_status:3, created_time:"2024-11-08T22:35:41.878314036+00:00"}" > The above exception was the direct cause of the following exception: InvalidArgument Traceback (most recent call last) /var/tmp/ipykernel_8985/2509895047.py in <cell line: 18>() 16 prediction_drift_detection_config=drift_config, 17 ) ---> 18 model_ids = get_deployed_model_ids(ENDPOINT_ID) 19 objective_template = ModelDeploymentMonitoringObjectiveConfig( 20 objective_config=objective_config /var/tmp/ipykernel_8985/1942246749.py in get_deployed_model_ids(endpoint_id) 84 client = EndpointServiceClient(client_options=client_options) 85 parent = f"projects/{PROJECT_ID}/locations/{REGION}" ---> 86 response = client.get_endpoint(name=f"{parent}/endpoints/{endpoint_id}") 87 model_ids = [] 88 for model in response.deployed_models: ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform_v1beta1/services/endpoint_service/client.py in get_endpoint(self, request, name, retry, timeout, metadata) 1089 1090 # Send the request. -> 1091 response = rpc( 1092 request, 1093 retry=retry, ~/.local/lib/python3.10/site-packages/google/api_core/gapic_v1/method.py in __call__(self, timeout, retry, compression, *args, **kwargs) 129 kwargs["compression"] = compression 130 --> 131 return wrapped_func(*args, **kwargs) 132 133 ~/.local/lib/python3.10/site-packages/google/api_core/timeout.py in func_with_timeout(*args, **kwargs) 118 kwargs["timeout"] = max(0, self._timeout - time_since_first_attempt) 119 --> 120 return func(*args, **kwargs) 121 122 return func_with_timeout ~/.local/lib/python3.10/site-packages/google/api_core/grpc_helpers.py in error_remapped_callable(*args, **kwargs) 76 return callable_(*args, **kwargs) 77 except grpc.RpcError as exc: ---> 78 raise exceptions.from_grpc_error(exc) from exc 79 80 return error_remapped_callable InvalidArgument: 400 Request contains an invalid argument. ``` Here's another: ``` endpoint output: ['Using endpoint [https://us-central1-aiplatform.googleapis.com/]', 'ERROR: (gcloud.ai.endpoints.create) FAILED_PRECONDITION: The request has violated one or more Org Policies: violations {', ' description: "The project 281226243097 failed the org policy enforcement check for `constraints/gcp.resourceLocations`. Please refer to https://pantheon.corp.google.com/iam-admin/orgpolicies/gcp-resourceLocations?project=281226243097 to review the project resource location restriction."', '}', ''] Model churn//flags deployed to Endpoint churn//. ```

Michael P. · Revisado há about 1 year

ERROR: (gcloud.ai.models.upload) FAILED_PRECONDITION: Service account `service-988141547119@gcp-sa-aiplatform.iam.gserviceaccount.com` does not have `[storage.objects.get]` IAM permission(s) to the directory "gs://mco-mm/churn". Please either copy the files to the Google Cloud Storage bucket owned by your project, or grant the required IAM permission(s) to the service account.']. Public permissions has been revoked from bucket gs://mco-mm/churn.

Marek N. · Revisado há about 1 year

Juan Pablo H. · Revisado há about 1 year

Ali A. · Revisado há about 1 year

Ali A. · Revisado há about 1 year

VIKRANT M. · Revisado há about 1 year

FNU A. · Revisado há about 1 year

Brayan T. · Revisado há about 1 year