aws / aws/amazon-sagemaker-examples
get_started_mnist_deploy.ipynb failed CI
- Dominant language
- Jupyter Notebook
- Stars
- 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/frameworks/pytorch/get_started_mnist_deploy.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [1]":
---------------------------------------------------------------------------
JSONDecodeError Traceback (most recent call last)
in
11 # Get global config
12 with open('code/config.json', 'r') as f:
---> 13 CONFIG=json.load(f)
14
15 sess = Session()
/opt/conda/lib/python3.6/json/__init__.py in load(fp, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
297 cls=cls, object_hook=object_hook,
298 parse_float=parse_float, parse_int=parse_int,
--> 299 parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
300
301
/opt/conda/lib/python3.6/json/__init__.py in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
[...]
JSONDecodeError: Expecting value: line 1 column 1 (char 0)
Contributor guide
Research direction
Start with frameworks/pytorch/get_started_mnist_deploy.ipynb and inspect the code/config.json file it opens in the first cell. Reproduce the notebook's CI failure and determine why that file cannot be decoded as JSON. Done means the notebook runs successfully in CI without the JSONDecodeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python, pytorch
- Domain
- ci-cd, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100