Too slow when copying data back and forth from pyObject
I want to process numpy array data on nim by using arraymancer. 
I use nimpy as a bridge between nim and python. I have a repo where I have an example to perform in-place integral image computation and I wanted to move first data to an arraymancer tensor process and put it back to a python object. The code is available at  [nimpy_numpy_examples#arraymancer](
https://github.com/zaferarican/nimpy_numpy_examples/tree/arraymancer).

When I do like that, the process is very slow. Probably, it is due to data transfer between pyObject and tensor. Is there a better way to do that? 

Is it possible to use pyRawBuffer as data field of the tensor? 

