Python wrapper for ArrayFire 3.5

• Feature parity with ArrayFire 3.5.

  • canny: Canny Edge detector
  • Array.scalar: Return the first element of the array
  • dot: Now support option to return scalar
  • print_mem_info: Prints memory being used / locked by arrayfire memory manager.
  • Array.allocated: Returs the amount of memory allocated for the given buffer.
  • set_fft_plan_cache_size: Sets the size of the fft plan cache.

• Bug Fixes:

  • sort_by_key had key and value flipped in documentation.

• Improvements and bugfixes from upstream include:

  • CUDA backend uses nvrtc instead of nvvm
  • Performance improvements to arrayfire.reorder
  • Faster unified backend
  • You can find more information at arrayfire's release notes