aws / aws/amazon-sagemaker-examples
script-mode-container-2.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Merged PRs (30d)
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/advanced_functionality/custom-training-containers/script-mode-container-2/notebook/script-mode-container-2.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [10]":
---------------------------------------------------------------------------
Exception Traceback (most recent call last)
in
23 val_config = sagemaker.session.s3_input('s3://{0}/{1}/val/'.format(bucket, prefix), content_type='text/csv')
24
---> 25 est.fit({'train': train_config, 'validation': val_config })
/opt/conda/lib/python3.7/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name, experiment_config)
667 self._prepare_for_training(job_name=job_name)
668
--> 669 self.latest_training_job = _TrainingJob.start_new(self, inputs, experiment_config)
670 self.jobs.append(self.latest_training_job)
671
[...]
Exception: Failed to run docker,images,-q,521695447989.dkr.ecr.us-west-2.amazonaws.com/sagemaker-training-containers/script-mode-container-2:latest
Contributor guide
Research direction
Open advanced_functionality/custom-training-containers/script-mode-container-2/notebook/script-mode-container-2.ipynb and inspect In [10], where est.fit fails while running the Docker command. Reproduce the CI failure and investigate the container execution environment; done means the notebook completes that training step successfully in CI.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100