关于“Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab”的评价
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    关于“Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab”的评价

    评论

    Jorge David G. · 评论3 minutes之前

    Many libraries are out of date

    Anita R. · 评论32 minutes之前

    最後の vertex_pipelines_job.run() の実行時に、jobが権限不足でfailedし、時間が足りなかった。 おそらく、 ai platform admin storage admin artifact registry writer のいずれかが足りなかった?

    Kei N. · 评论about 1 hour之前

    Goo

    Jaswanth C. · 评论about 5 hours之前

    Masayuki S. · 评论about 10 hours之前

    Kalaiselvan S. · 评论about 18 hours之前

    Iyad M. · 评论about 19 hours之前

    Anoop R. · 评论about 22 hours之前

    SARA L. · 评论1 day之前

    Alessandro Rodrigo M. · 评论1 day之前

    Carlos A. · 评论1 day之前

    leonardo m. · 评论2 days之前

    Not working, kernel dies

    Agostino L. · 评论2 days之前

    AYUSH KUMAR S. · 评论2 days之前

    Minh Son N. · 评论2 days之前

    GCSB15 G. · 评论2 days之前

    Victor O. · 评论3 days之前

    Lukas B. · 评论3 days之前

    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. · 评论3 days之前

    Takahide M. · 评论3 days之前

    Fixed now

    Prakash R. · 评论3 days之前

    Anderson I. · 评论3 days之前

    Ramses A. · 评论3 days之前

    Arul krishnan K. · 评论4 days之前

    Sagar K. · 评论4 days之前

    我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。