aws / aws/amazon-sagemaker-examples
pytorch-mnist-batch-transform.ipynb failed CI
- Dominant language
- Jupyter Notebook
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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/sagemaker_batch_transform/pytorch_mnist_batch_transform/pytorch-mnist-batch-transform.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
in
18 hyperparameters={
19 'epochs': 6,
---> 20 'backend': 'gloo'
21 })
22
/opt/conda/lib/python3.6/site-packages/sagemaker/pytorch/estimator.py in __init__(self, entry_point, framework_version, py_version, source_dir, hyperparameters, image_uri, distribution, **kwargs)
151 :class:`~sagemaker.estimator.EstimatorBase`.
152 """
--> 153 validate_version_or_image_args(framework_version, py_version, image_ur
[...]
ValueError: framework_version or py_version was None, yet image_uri was also None. Either specify both framework_version and py_version, or specify image_uri.
Contributor guide
Research direction
Open sagemaker_batch_transform/pytorch_mnist_batch_transform/pytorch-mnist-batch-transform.ipynb and inspect the setup in In [2], where the PyTorch estimator raises the reported ValueError. Run the notebook through the failing cell or the repository's CI validation, and confirm that it completes without this framework, Python-version, or image configuration error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, pytorch
- 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