(self, x)
| 113 | self.stride = stride |
| 114 | |
| 115 | def forward(self, x): |
| 116 | identity = x |
| 117 | |
| 118 | out = self.conv1(x) |
| 119 | out = self.bn1(out) |
| 120 | out = self.relu(out) |
| 121 | |
| 122 | out = self.conv2(out) |
| 123 | out = self.bn2(out) |
| 124 | out = self.relu(out) |
| 125 | |
| 126 | out = self.conv3(out) |
| 127 | out = self.bn3(out) |
| 128 | |
| 129 | if self.downsample is not None: |
| 130 | identity = self.downsample(x) |
| 131 | |
| 132 | out = out + identity |
| 133 | out = self.relu(out) |
| 134 | |
| 135 | return out |
| 136 | |
| 137 | |
| 138 | class ResNet(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected