| import sys | |
| import torch | |
| class flow_model_torch_wrapper(torch.nn.Module): | |
| """Wraps model to torchdyn compatible format.""" | |
| def __init__(self, model): | |
| super().__init__() | |
| self.model = model | |
| def forward(self, t, x, *args, **kwargs): | |
| return self.model(t, x) | |