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import torch | |
import torch.nn as nn | |
import torch.nn.functional as F | |
class HighwayNetwork(nn.Module): | |
def __init__(self, size): | |
super().__init__() | |
self.W1 = nn.Linear(size, size) | |
self.W2 = nn.Linear(size, size) | |
self.W1.bias.data.fill_(0.) | |
def forward(self, x): | |
x1 = self.W1(x) | |
x2 = self.W2(x) | |
g = torch.sigmoid(x2) | |
y = g * F.relu(x1) + (1. - g) * x | |
return y | |