(self, x)
| 141 | self.projection = nn.Conv2d(out_channels, out_channels, kernel_size=1, bias=False) |
| 142 | |
| 143 | def forward(self, x): |
| 144 | out = self.group_conv3x3(x) |
| 145 | out = self.norm(out) |
| 146 | out = self.act(out) |
| 147 | out = self.projection(out) |
| 148 | return out |
| 149 | |
| 150 | |
| 151 | class Mlp(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected