LeeSinLiang
/ models.py
Last active
May 24, 2023 13:49
Enables nn.Sequential to accept multiple inputs, enhancing the flexibility of sequential neural network models.
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| import torch.nn as nn | |
| class MultiInputSequential(nn.Sequential): | |
| def forward(self, *inputs): | |
| for module in self._modules.values(): | |
| if type(inputs) == tuple: | |
| inputs = module(*inputs) | |
| else: | |
| inputs = module(inputs) | |
| return inputs |