Install cusparse header files into Docker about gpu_docker

[enmyj]

@tomshafer - @semperstew is working on a new base image build directly off the CUDA image with conda installed. Hopefully that will be a bit more flexible!
#91

[tomshafer]

Looks like it's still reticulate. I don't have a problem with separating Python and R.

[tomshafer]

The Rapids image seems to have cusparse, so I'm in business for now (thanks, Ian!) We might want to update the base Python image, too, to agt-get install:

cuda-cusparse-10-0
cuda-cusparse-dev-10-0

(If I'm correct that we are using CUDA 10.0.)

[semperstew]

I have a working image for Python-only at this point. Adding R into the same conda environment is proving to be difficult. It may be easier to create separate images; one for python and one for R. I'm guessing most users are using one or the other in a single session so separate images shouldn't be an issue. Does R have a mature API for tensorflow at this point or is it still relying on reticulate?