aws / aws/amazon-sagemaker-examples

mxnet_gcmc_hypertune.ipynb failed CI

Open
#2,465 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
Stars
11k
Forks
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/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

Open the contributing 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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.