Nionio/PDEBench_2D_DarcyFlow

Example of usage: import torch from plaid.bridges import huggingface_bridge as hfb from torch.utils.data import DataLoader def reshape_all(batch: dict[str, torch.Tensor]) -> dict[str, torch.Tensor]: """Helper function that reshapes the flattened fields into images of sizes (128, 128).""" batch["diffusion_coefficient"] = batch["diffusion_coefficient"].reshape( -1, 128, 128 ) batch["flow"] = batch["flow"].reshape(-1, 128, 128) return batch # Load the dataset… See the full description on the dataset page: https://huggingface.co/datasets/Nionio/PDEBench_2D_DarcyFlow.

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