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v3.2.20151214

  • Bug fixes:

    • get_version() now returns ints instead of c_int
    • Fixed bug in tests/simple/device.py
  • The module now looks at additional paths when loading ArrayFire libraries.

    • Link to the wiki is provided when ctypes.cdll.LoadLibrary fails.
  • New function:

    • info_str() returns information similar to info() as a string.
  • Updated README.md with latest instructions

v3.2.20151211

  • Feature parity with ArrayFire 3.2 libs

    • New computer vision functions: sift, gloh, homography
    • New graphics functions: plot3, surface
    • Functions to load and save native images: load_image_native, save_image_native
    • Use unified backend when possible
  • Added missing functions

    • eval, init, convolve2_separable, as_type method
    • cuda backend specific functions
    • opencl backend specific functions
    • timeit function to benchmark arrayfire functions
  • Added new examples

    • getting_started: intro, convolve
    • benchmarks: bench_blas, bench_fft
    • financial: monte_carlo_options, black_scholes, heston_model
    • graphics: fractal, histogram, plot3d, conway, surface
  • Bug fixes

    • Fixed bug when array types were being reported incorrectly
    • Fixed various bugs in graphics functions

v3.1.20151111

  • Feature parity with ArrayFire 3.1 libs
  • Ability to interop with other python libs
  • Ability to extract raw device pointers
  • Load and Save arrays from disk
  • Improved __repr__ support

v3.0.20150914

  • Feature parity with ArrayFire 3.0 libs
  • Ability to switch all backends
  • Supports both python2 and python3