google-deepmind / google-deepmind/deepmind-research

Batch_dataset for cylinder_flow of MGN?

Open
#424 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
Stars
15.2k
Forks
2.9k
PR merge metrics
No merged PRs in 30d

Description

Hi,

I am trying to reproduce the MGN for my own simulation data. So, I need to understand the batch mechanism in the original code. I have noticed in the `dataset.py` file, the function `batch_dataset` was never called in the executable file (`run_model.py`) in the `main` function for cylinder_flow case. I am curious that does this indicate each individual timestep is a batch for its own? And all learnable variables got updated for each training_step for each batch?

Thanks,
ZY

Contributor guide

Open the contributing guide

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.