Criar e implantar soluções de machine learning com a Vertex AI: laboratório com desafio avaliações
12110 avaliações
luis henrique s. · Revisado há 44 minutes
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Mohamed Omar B. · Revisado há about 4 hours
Modesto M. · Revisado há about 4 hours
DANIEL M. · Revisado há about 5 hours
vertex_pipelines_job.run() step continued failing with errors.
Ki C. · Revisado há about 6 hours
Modesto M. · Revisado há about 7 hours
Alhanouf a. · Revisado há about 12 hours
bharadwaj V. · Revisado há about 13 hours
Shivam S. · Revisado há about 14 hours
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-04-0cbc63932acc, job_id = 7450948847519399936) is failed due to the above error.; Failed to handle the job: {project_number = 358773245216, job_id = 7450948847519399936}"
Rachel W. · Revisado há about 19 hours
Pipeline taking 40 minutes to complete is a bit annoying.
James S. · Revisado há about 22 hours
Lolo P. · Revisado há 1 day
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