aws / aws/amazon-sagemaker-examples
pytorch_extending_our_containers.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/pytorch_extending_our_containers/pytorch_extending_our_containers.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
CalledProcessError Traceback (most recent call last)
in
----> 1 get_ipython().run_cell_magic('sh', '', '\n# The name of our algorithm\nalgorithm_name=pytorch-extending-our-containers-cifar10-example\n\ncd container\n\naccount=$(aws sts get-caller-identity --query Account --output text)\n\n# Get the region defined in the current configuration (default to us-west-2 if none defined)\nregion=$(aws configure get region)\nregion=${region:-us-west-2}\n\nfullname="${account}.dkr.ecr.${region}.amazonaws.com/${algorithm_name}:latest"\n\n# If the repository doesn\'t exist in ECR, create it.\n\naws ecr describe-repositories --repository-names "${algorithm_name}" > /dev/null 2>&1\n\nif [ $? -ne 0 ]\nthen\n aws ecr create-repository --repository-name "${algorithm_name}" > /
Contributor guide
Research direction
Start with advanced_functionality/pytorch_extending_our_containers/pytorch_extending_our_containers.ipynb and inspect the shell cell at In [2], which runs AWS CLI and container commands. Reproduce the CI failure and trace the reported CalledProcessError; done means the notebook runs successfully in CI.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, pytorch
- Domain
- ci-cd, cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100