| import torch | |
| import torch.nn as nn | |
| import torch.nn.functional as F | |
| from torch import Tensor | |
| class SharedEmbedding(nn.Embedding): | |
| def forward(self, input: Tensor, unembed: bool = False) -> Tensor: | |
| if unembed: | |
| return F.linear(input, self.weight) | |
| return super().forward(input) |