google / google/jax-cfd

ml_model_inference_demo.ipynb results are inconsistent

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Dominant language
Jupyter Notebook
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Forks
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Avg merge
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Merged PRs (30d)
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Description

When I run ml_model_inference_demo.ipynb, I have the following problems. It is obvious that the results are different from yours. What is the problem? Is there a connection to my environment?
![image](https://user-images.githubusercontent.com/108331326/180739905-09b1ce9f-55fa-41e2-a8b3-0bb4e3cb521f.png)

Contributor guide

Open the contributing guide

Research direction

Start with ml_model_inference_demo.ipynb and compare its results with the report and attached screenshot. Investigate whether the discrepancy depends on the execution environment; done means identifying why the results differ and establishing the expected result.

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Assessment

Tech stack
jupyter-notebook
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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