aws / aws/amazon-sagemaker-examples
Image-classification-fulltraining-elastic-inference.ipynb failed CI
- Dominant language
- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/imageclassification_caltech/Image-classification-fulltraining-elastic-inference.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
ParamValidationError Traceback (most recent call last)
in
23
24 download('http://data.mxnet.io/data/caltech-256/caltech-256-60-train.rec')
---> 25 upload_to_s3(s3_train_key, 'caltech-256-60-train.rec')
26 download('http://data.mxnet.io/data/caltech-256/caltech-256-60-val.rec')
27 upload_to_s3(s3_validation_key, 'caltech-256-60-val.rec')
in upload_to_s3(channel, file)
13 data =
[...]
Invalid bucket name "<>": Bucket name must match the regex "^[a-zA-Z0-9.\-_]{1,255}$" or be an ARN matching the regex "^arn:(aws).*:s3:[a-z\-0-9]+:[0-9]{12}:accesspoint[/:][a-zA-Z0-9\-]{1,63}$|^arn:(aws).*:s3-outposts:[a-z\-0-9]+:[0-9]{12}:outpost[/:][a-zA-Z0-9\-]{1,63}[/:]accesspoint[/:][a-zA-Z0-9\-]{1,63}$"
Contributor guide
Research direction
Open Image-classification-fulltraining-elastic-inference.ipynb and inspect cell In [2], especially upload_to_s3 and the S3 bucket value. Reproduce the CI failure and trace why the bucket is still represented as <>; done means the notebook no longer raises the reported ParamValidationError in CI.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- cloud, machine-learning, testing
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100