(self, inplanes, planes, stride=1, downsample=None, dilation=1)
| 25 | expansion = 1 |
| 26 | |
| 27 | def __init__(self, inplanes, planes, stride=1, downsample=None, dilation=1): |
| 28 | super(BasicBlock, self).__init__() |
| 29 | self.conv1 = conv3x3(inplanes, planes, stride, dilation) |
| 30 | self.bn1 = nn.BatchNorm2d(planes) |
| 31 | self.relu = nn.ReLU(inplace=True) |
| 32 | self.conv2 = conv3x3(planes, planes) |
| 33 | self.bn2 = nn.BatchNorm2d(planes) |
| 34 | self.downsample = downsample |
| 35 | self.stride = stride |
| 36 | |
| 37 | def forward(self, x): |
| 38 | residual = x |