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| from torch import cat | |
| from deepscreen.models.components.mlp import MLP | |
| class ConcatMLP(MLP): | |
| def forward(self, *inputs): | |
| x = cat([*inputs], 1) | |
| for module in self: | |
| x = module(x) | |
| return x | |