ArrayFire

And there is a Python wrapper.

"ArrayFire is a blazing fast software library for GPU computing. Its easy-to-use API and array-based function set make GPU programming simple. A few lines of code in ArrayFire can replace dozens of lines of raw GPU code, saving you valuable time and lowering development costs.

ArrayFire supports both CUDA-capable NVIDIA GPUs and most OpenCL devices, including AMD GPUs/APUs and Intel Xeon Phi co-processors. It also supports mobile OpenCL devices from ARM, Qualcomm, and others. We want your code to run as fast as possible, regardless of the hardware.

There is also a CPU version (named 'libafcpu') to fall back to when CUDA or OpenCL devices are not available.

Programs written using ArrayFire are portable across CUDA, OpenCL and CPU devices.  The default backend is chosen in the following order of preference based on the available libraries:

1. CUDA
2. OpenCL
3. CPU

The backend can be also be chosen at the beginning of the program."

http://arrayfire.com/

 https://github.com/arrayfire/arrayfire-python

http://gpuopen.com/compute-product/arrayfire/ 

Real-Time Visualization of CUDA Data Using ArrayFire Forge - http://on-demand.gputechconf.com/gtc/2016/presentation/s6478-brian-kloppenborg-arrayfire-forge.pdf

Introduction to GPU Computing Using the ArrayFire Acceleration Library - http://on-demand.gputechconf.com/gtc/2015/video/S5797.html

Python Wrapper

The modules available in the Python wrapper are:

arrayfire.algorithm	Vector algorithms (sum, min, sort, etc).
arrayfire.arith	Math functions (sin, sqrt, exp, etc).
arrayfire.array	Array class and helper functions.
arrayfire.base	Implementation of BaseArray class.
arrayfire.bcast	Function to perform broadcasting operations.
arrayfire.blas	BLAS functions (matmul, dot, etc)
arrayfire.cuda	Functions specific to CUDA backend.
arrayfire.data	Functions to create and manipulate arrays.
arrayfire.device	Functions to handle the available devices in the backend.
arrayfire.features	Features class used for Computer Vision algorithms.
arrayfire.graphics	Graphics functions (plot, image, etc).
arrayfire.image	Image processing functions.
arrayfire.index	Index and Seq classes used in indexing operations.
arrayfire.interop	Interop with other python packages.
arrayfire.lapack	Dense Linear Algebra functions (solve, inverse, etc).
arrayfire.library	Module containing enums and other constants.
arrayfire.opencl	Functions specific to OpenCL backend.
arrayfire.random	Random engine class and functions to generate random numbers.
arrayfire.sparse	Functions to create and manipulate sparse matrices.
arrayfire.signal	Signal processing functions (fft, convolve, etc).
arrayfire.statistics	Statistical algorithms (mean, var, stdev, etc).
arrayfire.timer	Functions to time arrayfire.
arrayfire.util	Utility functions to help with Array metadata.
arrayfire.vision	Computer vision functions (FAST, ORB, etc)