Hello,
I have a question regarding how to load a model in pytorch, previously saved in pytorch c++.
This is the model in C++:
struct Net : torch::nn::Module
{
Net(int inputSize, int hiddenSize, int numClasses):
fc1(register_module(“fc1”, torch::nn::Linear(inputSize, hiddenSize))),
fc2(register_module(“fc2”, torch::nn::Linear(hiddenSize, numClasses))) {};
torch::nn::Linear fc1;
torch::nn::Linear fc2;


torch::Tensor forward(torch::Tensor input) 
{
    auto out = fc1(input);
    out = torch::relu(out);
    out = fc2(out);

    
    return out;    

}

};
and I saved it like this:
std::string modelPath = "model.pt";
torch::serialize::OutputArchive outputArchive;
model.save(outputArchive);
outputArchive.save_to(modelPath);

On the Python side this is my model:
class NeuralNet(nn.Module):
def __init__(self, input_size, hidden_size, num_classes):
    super(NeuralNet, self).__init__()
    self.fc1 = nn.Linear(input_size, hidden_size) 
    self.fc2 = nn.Linear(hidden_size, num_classes)  

def forward(self, x):
    out = self.fc1(x)
    out = nn.Relu(out)
    out = self.fc2(out)
    return out

but I don’t know how to create a model object from the “model.pt” file  …
Thanks for any help!
Best,
Ivan