aws / aws/amazon-sagemaker-examples
infer_pytorch.ipynb failed CI
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
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- Avg merge
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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/training/distributed_training/pytorch/data_parallel/mnist/infer_pytorch.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [1]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
5 # model_data = 's3://sagemaker-us-west-2-XXX/pytorch-smdataparallel-mnist-2020-10-16-17-15-16-419/output/model.tar.gz'
6
----> 7 print("Using this model: {}".format(model_data))
NameError: name 'model_data' is not defined
Contributor guide
Research direction
Open training/distributed_training/pytorch/data_parallel/mnist/infer_pytorch.ipynb and inspect the first cell, where model_data is referenced. Run the notebook or the repository's notebook CI check to reproduce the NameError. Done means the notebook executes past that cell without the reported undefined-variable failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, pytorch
- Domain
- ci-cd, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 35/100