Are there any good documentation/examples on how to correctly subclass a
torch::Tensor in C++ so that the derived class remains compatible with the usual
autograd and optimization workflows?
Thanks in advance to anyone who could add some pointers on how to implement a custom tensor type by inheriting from the
Related question in How to Extend Torch via it's C++ Frontend