(
self,
cfg: ModelWrapperOverfitCfg,
model: Model,
batch: Batch,
flows: Flows,
tracks: list[Tracks] | None,
losses: list[Loss],
visualizers: list[Visualizer],
)
| 23 | |
| 24 | class ModelWrapperOverfit(LightningModule): |
| 25 | def __init__( |
| 26 | self, |
| 27 | cfg: ModelWrapperOverfitCfg, |
| 28 | model: Model, |
| 29 | batch: Batch, |
| 30 | flows: Flows, |
| 31 | tracks: list[Tracks] | None, |
| 32 | losses: list[Loss], |
| 33 | visualizers: list[Visualizer], |
| 34 | ) -> None: |
| 35 | super().__init__() |
| 36 | self.cfg = cfg |
| 37 | self.batch = batch |
| 38 | self.flows = flows |
| 39 | self.tracks = tracks |
| 40 | self.model = model |
| 41 | self.losses = losses |
| 42 | self.visualizers = visualizers |
| 43 | |
| 44 | def to(self, device: torch.device) -> None: |
| 45 | self.batch = self.batch.to(device) |
nothing calls this directly
no outgoing calls
no test coverage detected