Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab Reviews
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    Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab Reviews

    15726 reviews

    Louis D. · Reviewed about 2 months ago

    Jeremiah A. · Reviewed about 2 months ago

    Jeremiah A. · Reviewed about 2 months ago

    Muhammad R. · Reviewed about 2 months ago

    last step very too much time to wait and at the end it was not working I got this error : Creating PipelineJob INFO:google.cloud.aiplatform.pipeline_jobs:Creating PipelineJob PipelineJob created. Resource name: projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob created. Resource name: projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 To use this PipelineJob in another session: INFO:google.cloud.aiplatform.pipeline_jobs:To use this PipelineJob in another session: pipeline_job = aiplatform.PipelineJob.get('projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508') INFO:google.cloud.aiplatform.pipeline_jobs:pipeline_job = aiplatform.PipelineJob.get('projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508') View Pipeline Job: https://console.cloud.google.com/vertex-ai/locations/us-east4/pipelines/runs/bert-sentiment-classification-20240919231508?project=527883717849 INFO:google.cloud.aiplatform.pipeline_jobs:View Pipeline Job: https://console.cloud.google.com/vertex-ai/locations/us-east4/pipelines/runs/bert-sentiment-classification-20240919231508?project=527883717849 PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_PENDING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_PENDING PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_PENDING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_PENDING PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_PENDING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_PENDING PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_PENDING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_PENDING PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob projects/527883717849/locations/us-east4/pipelineJobs/bert-sentiment-classification-20240919231508 current state: PipelineState.PIPELINE_STATE_RUNNING --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) Cell In[49], line 1 ----> 1 vertex_pipelines_job.run() File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/pipeline_jobs.py:314, in PipelineJob.run(self, service_account, network, sync, create_request_timeout) 295 """Run this configured PipelineJob and monitor the job until completion. 296 297 Args: (...) 310 Optional. The timeout for the create request in seconds. 311 """ 312 network = network or initializer.global_config.network --> 314 self._run( 315 service_account=service_account, 316 network=network, 317 sync=sync, 318 create_request_timeout=create_request_timeout, 319 ) File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/base.py:810, in optional_sync.<locals>.optional_run_in_thread.<locals>.wrapper(*args, **kwargs) 808 if self: 809 VertexAiResourceNounWithFutureManager.wait(self) --> 810 return method(*args, **kwargs) 812 # callbacks to call within the Future (in same Thread) 813 internal_callbacks = [] File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/pipeline_jobs.py:351, in PipelineJob._run(self, service_account, network, sync, create_request_timeout) 329 """Helper method to ensure network synchronization and to run 330 the configured PipelineJob and monitor the job until completion. 331 (...) 343 Optional. The timeout for the create request in seconds. 344 """ 345 self.submit( 346 service_account=service_account, 347 network=network, 348 create_request_timeout=create_request_timeout, 349 ) --> 351 self._block_until_complete() File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/pipeline_jobs.py:499, in PipelineJob._block_until_complete(self) 496 # Error is only populated when the job state is 497 # JOB_STATE_FAILED or JOB_STATE_CANCELLED. 498 if self._gca_resource.state in _PIPELINE_ERROR_STATES: --> 499 raise RuntimeError("Job failed with:\n%s" % self._gca_resource.error) 500 else: 501 _LOGGER.log_action_completed_against_resource("run", "completed", self) RuntimeError: Job failed with: code: 9 message: " The DAG failed because some tasks failed. The failed tasks are: [customcontainertrainingjob-run].; Job (project_id = qwiklabs-gcp-01-a42e76e1031e, job_id = 1619274963481526272) is failed due to the above error.; Failed to handle the job: {project_number = 527883717849, job_id = 1619274963481526272}"

    MallĂ© M. · Reviewed about 2 months ago

    Benny Y. · Reviewed about 2 months ago

    SALMA G. · Reviewed about 2 months ago

    Yifan Y. · Reviewed about 2 months ago

    Akanksha S. · Reviewed about 2 months ago

    Ayush T. · Reviewed about 2 months ago

    Adabara A. · Reviewed about 2 months ago

    Keshav G. · Reviewed about 2 months ago

    Pipeline building takes too long. So it could rather be simulated.

    Gautaman S. · Reviewed about 2 months ago

    Doluwamu S. · Reviewed about 2 months ago

    Osama W. · Reviewed about 2 months ago

    Oscar Felipe F. · Reviewed about 2 months ago

    Oscar Felipe F. · Reviewed about 2 months ago

    Jeremiah A. · Reviewed about 2 months ago

    Heleno C. · Reviewed about 2 months ago

    Syed M. · Reviewed about 2 months ago

    Jeremiah A. · Reviewed about 2 months ago

    pankaj s. · Reviewed about 2 months ago

    Carlos M. · Reviewed about 2 months ago

    vertex_pipelines_job.run() failed with unknown error after 30 minutes of running The DAG failed because some tasks failed. The failed tasks are: [customcontainertrainingjob-run].; Job (project_id = qwiklabs-gcp-04-b8fc9dc42b59, job_id = 3296865824677036032) is failed due to the above error.; Failed to handle the job: {project_number = 86778461108, job_id = 3296865824677036032} The replica workerpool0-0 exited with a non-zero status of 1. To find out more about why your job exited please check the logs: https://console.cloud.google.com/logs/viewer?project=86778461108&resource=ml_job%2Fjob_id%2F8254263037888823296&advancedFilter=resource.type%3D%22ml_job%22%0Aresource.labels.job_id%3D%228254263037888823296%22

    Vlad M. · Reviewed about 2 months ago

    Carlos M. · Reviewed about 2 months ago

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