Option to precompile cuRand and gpu array functions

Hi,

I want to remove the requirement to have MSVC and NVCC compilers available in the runtime environment so I can distribute a program I'm writing in pycuda. I've managed to compile my custom kernels into `.fatbin` files and import them using `module_from_buffer`.

However, it looks like some other pycuda functions still rely on generating and compiling cuda kernels at runtime. Specifically I'm having trouble with the `cu_rand` integration, as well as `gpu_array.fill(x)` function. Presumably a lot more of the gpu_array helper functions will have the same problem.

Is there a way to package the kernels used by these functions into .fatbin files, and to rely on those files rather than runtime compilation? and/or what code changes would be required to pycuda to support this?

Thanks!