| from pathlib import Path | |
| from torch.nn import functional as F | |
| from torch_uncertainty.models.resnet import resnet20 | |
| from torch_uncertainty.layers.filter_response_norm import FilterResponseNorm2d | |
| from safetensors.torch import load_file | |
| def load_model(version: int): | |
| """Load the model corresponding to the given version.""" | |
| model = resnet20( | |
| num_classes=10, | |
| in_channels=3, | |
| style="cifar", | |
| activation_fn=F.silu, | |
| normalization_layer=FilterResponseNorm2d, | |
| ) | |
| path = Path( | |
| f"cifar10-resnet20-frn-silu/cifar10-resnet20-frn-silu-0-1023/version_{version}.safetensors" | |
| ) | |
| if not path.exists(): | |
| raise ValueError("File does not exist") | |
| state_dict = load_file(path) | |
| model.load_state_dict(state_dict=state_dict) | |
| return model | |