aws / aws/amazon-sagemaker-examples
pt-resnet-profiling-multi-gpu-multi-node.ipynb failed CI
Open
- 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/sagemaker-debugger/pytorch_profiling/pt-resnet-profiling-multi-gpu-multi-node.ipynb
Error:
Kernel died
Contributor guide
Research direction
Open sagemaker-debugger/pytorch_profiling/pt-resnet-profiling-multi-gpu-multi-node.ipynb and begin by reviewing or running the CI workflow that reports "Kernel died." Investigate the notebook failure in its multi-GPU, multi-node context; done means the notebook completes CI without the kernel dying.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning, testing
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100