I want to use the pretrained resnet50 for transfer-learning and fine-tuning at C++.
at python>>
resnet50 = models.resnet50(pretrained=True)

fc_inputs = resnet50.fc.in_features  #fc_inputs: 2048
resnet50->fc = nn.Sequential(
    nn.Linear(fc_inputs, 256),
    nn.ReLU(),
    nn.Dropout(0.4),
    nn.Linear(256, 2))
at C++ >>
resnet50.fc = torch::nn::Sequential()  <- ERROR