aws / aws/amazon-sagemaker-examples
[Bug Report] multi-container inference returns different results for TensorFlow and PyTorch models (PyTorch inference is wrong)
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
**Link to the notebook**
Add the link to the notebook.
**Describe the bug**
A clear and concise description of what the bug is.
**To reproduce**
A clear, step-by-step set of instructions to reproduce the bug.
**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
Research direction
No notebook, files, tests, logs, or reproduction steps are provided. Start by attaching the relevant .ipynb and documenting the multi-container inference steps and outputs for TensorFlow and PyTorch; done means the discrepancy is reproducible and the incorrect PyTorch path is identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, pytorch, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100