sure:


load the model:
module = torch::jit::load(fileName);


process:
torch::Tensor result;
std::vectortorch::jit::IValue inputs;
at::Tensor tensor = torch::from_blob(data.data(), {1, 1, 11, 144});
inputs.push_back(tensor);
torch::autograd::AutoGradMode guard( false );
result = module.forward(inputs).toTensor();


i have written unit tests and integrations tests that show that the results are equal to python. but once i run this on the iphone the results are different.