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hub / github.com/Tencent/NeuralNLP-NeuralClassifier / Highway

Class Highway

model/layers.py:150–170  ·  view source on GitHub ↗

Reference: Highway Networks. For now we don't limit the type of the gate and forward. Caller should init Highway with transformer and carry and guarantee the dim to be matching.

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148
149
150class Highway(torch.nn.Module):
151 """
152 Reference: Highway Networks.
153 For now we don't limit the type of the gate and forward.
154 Caller should init Highway with transformer and carry and guarantee the dim
155 to be matching.
156 """
157
158 def __init__(self, transformer_gate, transformer_forward):
159 super(Highway, self).__init__()
160 self.transformer_forward = transformer_forward
161 self.transformer_gate = transformer_gate
162
163 def forward(self, x, gate_input=None, forward_input=None):
164 if gate_input is None:
165 gate_input = x
166 if forward_input is None:
167 forward_input = x
168 gate = self.transformer_gate(gate_input)
169 forward = self.transformer_forward(forward_input)
170 return gate * forward + (1 - gate) * x

Callers 1

get_highwayMethod · 0.90

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