google-deepmind / google-deepmind/deepmind-research
Batch_dataset for cylinder_flow of MGN?
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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
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