Download code/records/nlkg/fid_adapter.json from coarse-grained-forecasting-benchmark/forecasting-models: direct link, hf CLI and curl.
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- Download file 1.2 kB
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https://huggingface.co/coarse-grained-forecasting-benchmark/forecasting-models/resolve/main/code/records/nlkg/fid_adapter.json
- Command line
-
hf download hf://coarse-grained-forecasting-benchmark/forecasting-models/code/records/nlkg/fid_adapter.json
-
curl -L -o fid_adapter.json https://huggingface.co/coarse-grained-forecasting-benchmark/forecasting-models/resolve/main/code/records/nlkg/fid_adapter.json
1.2 kB
| { | |
| "adapter": "nlkg_coarse_u", | |
| "field_kind": "signed", | |
| "quantile": 0.9999, | |
| "clip_c": 0.5955045945108044, | |
| "range": [ | |
| -0.5955045945108044, | |
| 0.5955045945108044 | |
| ], | |
| "n_train_states": 1600, | |
| "field_shape": [ | |
| 128, | |
| 128 | |
| ], | |
| "pixel_stride": 1, | |
| "n_pixel_values": 26214400, | |
| "map": "uint8 = rint((clip(w,-c,c)+c)/(2c)*255)", | |
| "channels": "3 identical (grayscale scalar field), no colormap", | |
| "source": { | |
| "packaged_dataset_path": "<dataset>", | |
| "block": "vecs_train", | |
| "ics": "canonical rows 0..79", | |
| "members": "j < 20", | |
| "snapshots": [ | |
| 40 | |
| ], | |
| "pixel_stride": 1, | |
| "n_states": 1600, | |
| "rule": "training data only; validation, test and generated data never enter" | |
| }, | |
| "state": "392-D coarse state (196-D u + 196-D v/4, house coarse operator |k| <= 8 on each); the image reads ONLY the first component u -- identical reconstruction to euler_coarse_vorticity", | |
| "reconstruction": "exact inverse FFT of the |k| <= 8 modes on a 128x128 grid (alias-free)", | |
| "n_disp": 128, | |
| "k_c": 8, | |
| "clip": "symmetric [-c, c], c = Q_q(|u_coarse|) over the training pool's final-time fields", | |
| "physical_diagnostic": "coarse_u_variance_ratio, gradient_energy_ratio (on u), coarse_v_variance_ratio (on v/4)" | |
| } | |