Enables nn.Sequential to accept multiple inputs, enhancing the flexibility of sequential neural network models.

models.py

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