ArrayFire Python Wrapper

Introduction

ArrayFire is a high performance scientific computing library with an easy to use API.

>>> # Monte Carlo estimation of pi
>>> def calc_pi_device(samples):
        # Simple, array based API
        # Generate uniformly distributed random numers
        x = af.randu(samples)
        y = af.randu(samples)
        # Supports Just In Time Compilation
        # The following line generates a single kernel
        within_unit_circle = (x * x + y * y) < 1
        # Intuitive function names
        return 4 * af.count(within_unit_circle) / samples

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 chosen at the beginning of the program by using the following function

>>> af.set_backend(name)

where name is one of ‘cuda’, ‘opencl’ or ‘cpu’.

The functionality provided by ArrayFire spans the following domains:

1. Vector Algorithms

2. Image Processing

3. Signal Processing

4. Computer Vision

5. Linear Algebra

6. Statistics

Submodules

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)