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| import torch | |
| import torch.nn | |
| class DummyModel(torch.nn.Module): | |
| def __init__(self): | |
| super().__init__() | |
| def forward(self, x): | |
| return torch.softmax(torch.rand(5), 0) | |
| def __call__(self, x): | |
| return self.forward(x) |