(self, x)
| 123 | self.linear_5 = nn.Linear(in_features=self.h4_dim, out_features=self.out_dim) |
| 124 | |
| 125 | def forward(self, x): |
| 126 | h1 = self.activ_1(self.linear_1(x)) |
| 127 | h2 = self.activ_2(self.linear_2(h1)) |
| 128 | h3 = self.activ_3(self.linear_3(h2)) |
| 129 | h4 = self.activ_4(self.linear_4(h3)) |
| 130 | out = self.linear_5(h4) |
| 131 | return out |
| 132 | |
| 133 | |
| 134 | class Simple_LSTM_Classifier(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected