aws / aws/amazon-sagemaker-examples
tf2-keras-default-container.ipynb failed CI
- Dominant language
- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-debugger/tensorflow2/tensorflow2_zero_code_change/tf2-keras-default-container.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [10]":
---------------------------------------------------------------------------
MissingCollectionFiles Traceback (most recent call last)
in
1 from smdebug.trials import create_trial
----> 2 trial = create_trial(estimator.latest_job_debugger_artifacts_path())
/usr/local/lib/python3.7/site-packages/smdebug/trials/utils.py in create_trial(path, name, profiler, output_dir, **kwargs)
21 return ProfilerTrial(name=name, trial_dir=path, output_dir=output_dir, **kwargs)
22 if s3:
---> 23 return S3Trial(name=name, bucket_name=bucket_name, prefix_name=prefix_name, **kwargs)
24 else:
25 return LocalTrial(name=name, dirname=path, **kwargs)
/usr/local/lib/python3.7/site-packages/smdebug/trials/s3_t
[...]
MissingCollectionFiles: Training job has ended. All the collection files could not be loaded
Contributor guide
Research direction
Open sagemaker-debugger/tensorflow2/tensorflow2_zero_code_change/tf2-keras-default-container.ipynb and reproduce the CI failure at In [10], where create_trial loads the debugger artifacts. Inspect the MissingCollectionFiles error and the notebook's training-job setup. Done means the notebook completes without this exception in CI.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python, tensorflow
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100