리뷰 Vertex AI에서 머신러닝 솔루션 빌드 및 배포하기: 챌린지 실습개

Carlos A. · 10개월 전에 리뷰됨

leonardo m. · 10개월 전에 리뷰됨

Not working, kernel dies

Agostino L. · 10개월 전에 리뷰됨

AYUSH KUMAR S. · 10개월 전에 리뷰됨

Minh Son N. · 10개월 전에 리뷰됨

GCSB15 G. · 10개월 전에 리뷰됨

Victor O. · 10개월 전에 리뷰됨

Lukas B. · 10개월 전에 리뷰됨

INFO:google.cloud.aiplatform.pipeline_jobs:Creating PipelineJob --------------------------------------------------------------------------- _InactiveRpcError Traceback (most recent call last) File ~/.local/lib/python3.10/site-packages/google/api_core/grpc_helpers.py:72, in _wrap_unary_errors.<locals>.error_remapped_callable(*args, **kwargs) 71 try: ---> 72 return callable_(*args, **kwargs) 73 except grpc.RpcError as exc: File /opt/conda/lib/python3.10/site-packages/grpc/_channel.py:1181, in _UnaryUnaryMultiCallable.__call__(self, request, timeout, metadata, credentials, wait_for_ready, compression) 1175 ( 1176 state, 1177 call, 1178 ) = self._blocking( 1179 request, timeout, metadata, credentials, wait_for_ready, compression 1180 ) -> 1181 return _end_unary_response_blocking(state, call, False, None) File /opt/conda/lib/python3.10/site-packages/grpc/_channel.py:1006, in _end_unary_response_blocking(state, call, with_call, deadline) 1005 else: -> 1006 raise _InactiveRpcError(state) _InactiveRpcError: <_InactiveRpcError of RPC that terminated with: status = StatusCode.ALREADY_EXISTS details = "Pipeline job with the specified ID already exists." debug_error_string = "UNKNOWN:Error received from peer ipv4:142.250.31.95:443 {grpc_message:"Pipeline job with the specified ID already exists.", grpc_status:6, created_time:"2024-11-21T13:23:10.574384397+00:00"}" > The above exception was the direct cause of the following exception: AlreadyExists Traceback (most recent call last) Cell In[51], line 1 ----> 1 vertex_pipelines_job.run() File /opt/conda/lib/python3.10/site-packages/google/cloud/aiplatform/pipeline_jobs.py:331, in PipelineJob.run(self, service_account, network, reserved_ip_ranges, sync, create_request_timeout) 309 """Run this configured PipelineJob and monitor the job until completion. 310 311 Args: (...) 327 Optional. The timeout for the create request in seconds. 328 """ 329 network = network or initializer.global_config.network --> 331 self._run( 332 service_account=service_account, 333 network=network, 334 reserved_ip_ranges=reserved_ip_ranges, 335 sync=sync, 336 create_request_timeout=create_request_timeout, 337 ) File /opt/conda/lib/python3.10/site-packages/google/cloud/aiplatform/base.py:863, in optional_sync.<locals>.optional_run_in_thread.<locals>.wrapper(*args, **kwargs) 861 if self: 862 VertexAiResourceNounWithFutureManager.wait(self) --> 863 return method(*args, **kwargs) 865 # callbacks to call within the Future (in same Thread) 866 internal_callbacks = [] File /opt/conda/lib/python3.10/site-packages/google/cloud/aiplatform/pipeline_jobs.py:367, in PipelineJob._run(self, service_account, network, reserved_ip_ranges, sync, create_request_timeout) 339 @base.optional_sync() 340 def _run( 341 self, (...) 346 create_request_timeout: Optional[float] = None, 347 ) -> None: 348 """Helper method to ensure network synchronization and to run 349 the configured PipelineJob and monitor the job until completion. 350 (...) 365 Optional. The timeout for the create request in seconds. 366 """ --> 367 self.submit( 368 service_account=service_account, 369 network=network, 370 reserved_ip_ranges=reserved_ip_ranges, 371 create_request_timeout=create_request_timeout, 372 ) 374 self._block_until_complete() 376 # AutoSxS view model evaluations

HARIKRISHNA P. · 10개월 전에 리뷰됨

Takahide M. · 10개월 전에 리뷰됨

Fixed now

Prakash R. · 10개월 전에 리뷰됨

Anderson I. · 10개월 전에 리뷰됨

Ramses A. · 10개월 전에 리뷰됨

ARUL KRISHNAN K. · 10개월 전에 리뷰됨

Sagar K. · 10개월 전에 리뷰됨

Amit C. · 10개월 전에 리뷰됨

Kiran A. · 10개월 전에 리뷰됨

Chris I. · 10개월 전에 리뷰됨

Istvan B. · 10개월 전에 리뷰됨

Zahra B. · 10개월 전에 리뷰됨

TIffany S. · 10개월 전에 리뷰됨

Agostino L. · 10개월 전에 리뷰됨

Gavriel D. · 10개월 전에 리뷰됨

Manuel Angel A. · 10개월 전에 리뷰됨

Hendrik F. · 10개월 전에 리뷰됨