Hi, I traced a custom model using the method torch.jit.script. However, when fine-tuning the torchscript on a dataset, I obtained different accuracy results (85% using PyTorch Python and 75% using PyTorch C++ API).
# c++ torch::jit::script::Module model = torch::jit::load(options.model_path, torch::kCUDA);
# Python model = torch.jit.load(model_path)
Also, I think that the data processing and optimization settings in PyTorch C++ API and PyTorch Python are the same. Because I was able to achieve the same results (acc 82%) using the method torch.jit.trace.Can anyone help?