aws / aws/amazon-sagemaker-examples
mxnet_mnist.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- 11k
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- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-python-sdk/mxnet_mnist/mxnet_mnist.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [5]":
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
in
1 neo_optimize = False
2 compiled_model = mnist_estimator
----> 3 if mnist_estimator.create_model().check_neo_region(boto3.Session().region_name) is False:
4 print('Neo is not currently supported in', boto3.Session().region_name)
5 else:
AttributeError: 'MXNetModel' object has no attribute 'check_neo_region'
Contributor guide
Research direction
Open sagemaker-python-sdk/mxnet_mnist/mxnet_mnist.ipynb and inspect In [5], where the CI failure occurs. Reproduce the notebook failure and investigate the MXNetModel API usage around check_neo_region. Done means the notebook no longer raises this AttributeError and the CI check passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100