Arrayfire Python Versions Save

v3.3.20160516

• Bugfix: Increase arrayfire's priority over numpy for mixed operations
• Added new library functions
  • get_backend returns backend name

• Fixes to numpy interop on Windows
• Fixes issues with occasional double free
• Fixes to graphics examples

• Fixes to make arrayfire-python to work on 32 bit systems

• Functions to interact with arryafire's internal data structures. - Array.offset - Array.strides - Array.is_owner - Array.is_linear - Array.raw_ptr
  • Array constructor now takes offset and strides as optional parameters.
  • New visualization functions: scatter and scatter3
  • OpenCL backend specific functions:
    • get_device_type
    • get_platform
    • add_device_context
    • delete_device_context
    • set_device_context
  • Functions to allocate and free memory on host and device
    • alloc_host and free_host
    • alloc_pinned and free_pinned
    • alloc_device and free_device
  • Function to query which device and backend an array was created on
    • get_device_id
    • get_backend_id
  • Miscellaneous functions
    • is_lapack_available
    • is_image_io_available
• Interopability
  • Transfer PyCUDA GPUArrays using af.pycuda_to_af_array
  • Transfer PyOpenCL Arrays using af.pyopencl_to_af_array
  • New helper function af.to_array added to convert a different array to arrayfire Array.
    • This function can be used in place of af.xyz_to_af_array functions mentioned above.
• Deprecated functions list
  • lock_device_ptr is deprecated. Use lock_array instead.
  • unlock_device_ptr is deprecated. Use unlock_array instead.
• Bug Fixes:
  • Boolean indexing giving faulty results for multi dimensional arrays.
  • Enum types comparision failures in Python 2.x
  • Support loading SO versioned libraries in Linux and OSX.
  • Fixed typo that prevented changing backend
  • Fixed image processing functions that accepted floating point scalar paramters.
    • Affected functions include: translate, scale, skew, histogram, bilateral, mean_shift.

• Bug fixes:
  • A default AF_PATH is set if none is found as an environment variable.
• Examples:
  • Heston model example uses a smaller data set to help run on low end GPUs.

• 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

• 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

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

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