William

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My Advice: class Bottleneck(nn.Module): def __init__(self, inplanes, planes, stride=1, downsample=None,expansion=4): super(Bottleneck, self).__init__() self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=1, bias=False) self.bn1 = nn.BatchNorm2d(planes) self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride, padding=1, bias=False) self.bn2...