(self, x)
| 92 | self.linear_3 = nn.Linear(in_features=self.h2_dim, out_features=self.out_dim) |
| 93 | |
| 94 | def forward(self, x): |
| 95 | h1 = self.activ_1(self.linear_1(x)) |
| 96 | h2 = self.activ_2(self.linear_2(h1)) |
| 97 | out = self.linear_3(h2) |
| 98 | return out |
| 99 | |
| 100 | |
| 101 | class Simple_5_Layer_Classifier(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected