I need to embed a Python interpreter in my C++ application and I want to pass Tensor s back and forth from C++ and Python.
I know that Boost.Python should fit this purpose, but I’m puzzled on how should I handle the Tensors exchange. My guess is that it should be relatively easy, considering that the C++ and Python frontend probably use the same underlying types. Can somebody point me in the right direction?
THPVariable_Wrap(Variable var) in https://github.com/pytorch/pytorch/blob/63214b572b6a18f7328687ca69420f0be0eaaaa9/torch/csrc/autograd/python_variable.cpp#L64-L76 is how we wrap a
Variable (can be cast from
torch::Tensor) into a Python object. Using Boost.Python there might be a way to pass the
Variable C++ object to Python and construct the Python object.
Thank you! I will look at it!
@dno89 have you made it work?