aws / aws/amazon-sagemaker-examples
tensorflow_script_mode_quickstart.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-python-sdk/tensorflow_script_mode_quickstart/tensorflow_script_mode_quickstart.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [8]":
---------------------------------------------------------------------------
Exception Traceback (most recent call last)
in
1 inputs = {'training': f'file://{data_dir}'}
2
----> 3 estimator.fit(inputs)
/usr/local/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 if wait:
/usr/local/lib/python3.7/site-packages/sagemaker/estimator.py in start_new(cls, estimator, inputs, experiment_confi
[...]
Exception: Failed to run docker,images,-q,763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:1.15.2-cpu-py3
Contributor guide
Research direction
Open tensorflow_script_mode_quickstart/tensorflow_script_mode_quickstart.ipynb and inspect cell In[8], where estimator.fit(inputs) fails while running the TensorFlow training image. Reproduce the CI failure and trace the Docker image lookup; done means the notebook runs successfully in CI without the reported Docker exception.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python, tensorflow
- Domain
- ci-cd, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100