aws / aws/amazon-sagemaker-examples
multi_model_endpoint_bring_your_own.ipynb failed CI
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/advanced_functionality/multi_model_bring_your_own/multi_model_endpoint_bring_your_own.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=demo-sagemaker-multimodel\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.\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}" > /dev/null\nfi\n\n# Get the
Contributor guide
Research direction
Open advanced_functionality/multi_model_bring_own/multi_model_endpoint_bring_your_own.ipynb and inspect the commands in cell In[2], especially the container and AWS CLI steps shown in the error. Reproduce the notebook failure in the CI context and identify the failing command; done means the notebook completes that cell successfully in CI.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, shell
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100