| import torch | |
| from transformers import PreTrainedModel | |
| from .configuration_evil import EvilConfig | |
| class TinyEvilModel(torch.nn.Module): | |
| def __init__(self): | |
| super(TinyEvilModel, self).__init__() | |
| self.foo = torch.nn.Linear(1,1,dtype=torch.float16) | |
| def forward(self, x): | |
| return self.foo(x) | |
| class EvilModel(PreTrainedModel): | |
| config_class = EvilConfig | |
| def __init__(self, config): | |
| super().__init__(config) | |
| self.model = TinyEvilModel() | |
| def forward(self, x): | |
| return self.model.forward(x) | |