Fluid Simulation on 2D Kolmogorov flow
0.1486w Avg ErrorF-FNO2D
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| F-FNO2DTraining Protocol=AR* (6 steps rollout during training), Inference time (s)=0.86, Parameters (M)=3.72023.05 | 0.1486 | 0.2811 | |
| Dil-ResNetTraining Protocol=LM (4 steps per call), Inference time (s)=1.78, Parameters (M)=2.42023.05 | 0.1655 | 0.3051 | |
| FactFormerTraining Protocol=LM (4 steps per call), Inference time (s)=1.38, Parameters (M)=3.52023.05 | 0.1734 | 0.3017 | |
| F-FNO2DTraining Protocol=LM (4 steps per call), Inference time (s)=1.01, Parameters (M)=3.72023.05 | 0.2453 | 0.3861 | |
| FNO2DTraining Protocol=LM (4 steps per call), Inference time (s)=0.81, Parameters (M)=85.12023.05 | 0.2978 | 0.4567 | |
| FNO2DTraining Protocol=AR* (12 steps rollout during training), Inference time (s)=0.73, Parameters (M)=85.12023.05 | 0.3177 | 0.4423 | |
| Dil-ResNetTraining Protocol=AR (2 steps rollout during training), Inference time (s)=4.69, Parameters (M)=2.42023.05 | 0.8156 | 1.1692 | |
| FactFormerTraining Protocol=AR (2 steps rollout during training), Inference time (s)=3.14, Parameters (M)=3.52023.05 | 0.8835 | 1.0963 |