aws / aws/amazon-sagemaker-examples
mxnet_gcmc_hypertune.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/sagemaker-python-sdk/dgl_gcmc/mxnet_gcmc_hypertune.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
in
24 image_name=image,
25 hyperparameters=params,
---> 26 sagemaker_session=sess)
/usr/local/lib/python3.7/site-packages/sagemaker/mxnet/estimator.py in __init__(self, entry_point, framework_version, py_version, source_dir, hyperparameters, image_uri, distribution, **kwargs)
154 "train_instance_type", "instance_type", kwargs.get("instance_type"), kwargs
155 )
--> 156 validate_version_or_image_args(framework_version, py_version, image_uri)
157
[...]
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-python-sdk/dgl_gcmc/mxnet_gcmc_hypertune.ipynb and inspect cell In [4], where the SageMaker MXNet estimator raises the reported ValueError. Run the notebook or its CI check after identifying the required version or image arguments; done means the notebook completes that cell without the framework/image validation error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100