aws / aws/amazon-sagemaker-examples

[Bug Report] multi-container inference returns different results for TensorFlow and PyTorch models (PyTorch inference is wrong)

Open
#3,120 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**
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

Open the contributing 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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.