(self, batch_size: int, model_kwargs: Dict[str, Any])
| 88 | return len(self.models) |
| 89 | |
| 90 | def sample_batch(self, batch_size: int, model_kwargs: Dict[str, Any]) -> torch.Tensor: |
| 91 | samples = None |
| 92 | for x in self.sample_batch_progressive(batch_size, model_kwargs): |
| 93 | samples = x |
| 94 | return samples |
| 95 | |
| 96 | def sample_batch_progressive( |
| 97 | self, batch_size: int, model_kwargs: Dict[str, Any] |
nothing calls this directly
no test coverage detected