When converting the weight file to an onnx file, there are two identity nodes participating in the BN layer. Have you encountered this problem

This mistake in class PAPPM last shortcut moduel.

out = self.compression(torch.cat(x_list, 1)) + self.shortcut(x)

self.shortcut = nn.Sequential(
BatchNorm(inplanes, momentum=bn_mom),
nn.ReLU(inplace=True),
nn.Conv2d(inplanes, outplanes, kernel_size=1, bias=False), )