apebench-paper / studies /broad_comparison_3d.py
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All data of the broad comparison
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"""
Produces the 3D results of the broad comparison across architectures and
dynamics.
Full prediction learning with one-step supervised training.
"""
CONFIGS = [
{
"scenario": scene,
"task": "predict",
"net": net,
"train": "one",
"start_seed": s,
"num_seeds": 1,
"num_spatial_dims": 3,
"num_points": 32,
"num_test_samples": 10,
}
for s in range(20)
for net in [
"Conv;26;12;relu", # 202'489 params, 13 receptive field per direction
"UNet;11;2;relu", # 200'322 params, 29 receptive field per direction
"Res;25;6;relu", # 202'876 params, 12 receptive field per direction
"FNO;5;7;4;gelu", # 196'246 params, inf receptive field
"Dil;2;27;2;relu", # 197'722 params, 20 receptive field per direction
]
for scene in [
"phy_unbal_adv",
"diff_burgers", # Uses the three-channel version in 3D
"diff_ks",
"phy_gs",
"phy_sh",
]
]