aws / aws/amazon-sagemaker-examples

[Bug Report] pytorch_torchvision_neo.ipynb deploy model fails

Open
#3,535 2 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**
[Link to the notebook.](https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker_neo_compilation_jobs/pytorch_torchvision/pytorch_torchvision_neo.ipynb)

**Describe the bug**
the step "Deploy the model" fails with "FileNotFoundError: [Errno 2] No such file or directory: 'code'"

**To reproduce**
Use conda_pytorch_p38 kernel (the p36 is no longer available), everything else I left as it was.

I assume the "no such file or directory: 'code'" is based on the fact that in model.tar.gz, no code/ folder was added, only the pure model.pth file. Based on what I read in https://sagemaker.readthedocs.io/en/stable/frameworks/pytorch/using_pytorch.html#model-directory-structure , the pyTorch versions 1.2 and higher expect a code/ folder in the .tar.gz file.

**Logs**
If applicable, add logs to help explain your problem.
You may also attach an `.ipynb` file to this issue if it includes relevant logs or output.

Contributor guide

Open the contributing guide

Research direction

Open sagemaker_neo_compilation_jobs/pytorch_torchvision/pytorch_torchvision_neo.ipynb and run it with the conda_pytorch_p38 kernel, focusing first on the “Deploy the model” step. Inspect the generated model.tar.gz and its model.pth and code/ contents. Done means deployment completes without the FileNotFoundError for “code”.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook, pytorch
Domain
cloud, machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.