我有一个 PyTorch 模型，我正在尝试通过执行前向传递来测试它。这是代码：
class ResBlock(nn.Module):
def __init__(self, inplanes, planes, stride=1):
super(ResBlock, self).__init__()
self.conv1x1 = nn.Conv2d(inplanes, planes, kernel_size=1, stride=1, bias=False)
self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=3, stride=stride, padding=1, bias=False)
#batch normalization
self.bn1 = nn.BatchNorm2d(planes)
self.relu = nn.ReLU()
self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride, padding=1, bias=False)
self.bn2 = nn.BatchNorm2d(planes)
self.stride = stride
def forward(self, x):
residual = self.conv1x1(x)
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
#adding the skip connection
out += residual
out = self.relu(out) …