aws / aws/amazon-sagemaker-examples

Horovod script mode - incorrect weblink, unclear usage of --model_dir

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#738 2 comments 0 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
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Description

1. The link https://github.com/aws/sagemaker-containers/blob/master/README.md in "More details can be found here" returns '404'
2. It is unclear from the notebook that SageMaker container invokes mnist_hvd.py with command-line agruments and that --model_dir is one of them. Need a detailed explanation what comman-line agrs are used and how to modify/use them should customer were to use this example as a foundation for his/her code.
3. the model is saved on a local machine, which is fine for 'local' mode, but does not help when using a SageMaker training instance. Could you, please, add code that would save the final model to the session's default s3 bucket?

Contributor guide

Open the contributing guide

Research direction

Start with the Horovod script-mode notebook and the referenced mnist_hvd.py entry point; inspect how the SageMaker container passes command-line arguments, especially --model_dir. Verify the README link, document the arguments and how users can modify them, and trace model output in local versus training-instance mode so completion includes saving the final model to the session's default S3 bucket.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook, python
Domain
cloud, documentation, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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