Release Notes

Version 2.0

NumbaPro has been deprecated, and its code generation features have been moved into open-source Numba. The CUDA library functions have been moved into Accelerate, along with some Intel MKL functionality. High-level functions and access to additional native library implementations will be added in future releases of Accelerate, and there will be no further updates to NumbaPro.

A NumbaPro compatibility layer (listed as release 0.22.0 of NumbaPro) provides access to the new Accelerate packages through the old NumbaPro package names. This avoids the need to change any existing code immediately for use with Accelerate. A warning will be generated upon import of the compatibility layer, to highlight the deprecation of the NumbaPro package.

CUDA Libraries

CUDA library functionality is equivalent to that in NumbaPro 0.21, with the following packages renamed:

NumbaPro Package Accelerate package
numbapro.cudalib.cublas accelerate.cuda.blas
numbapro.cudalib.cufft accelerate.cuda.fft
numbapro.cudalib.curand accelerate.cuda.rand
numbapro.cudalib.cusparse accelerate.cuda.sparse
numbapro.cudalib.sorting accelerate.cuda.sorting

Code Generation

The vectorize targets parallel and cuda can now be accessed with Numba, as can the cuda.reduce decorator. Printing of integers and floating point values from CUDA kernels is also possible in Numba, and no longer requires NumbaPro or Accelerate to be imported.

Intel MKL

The MKL FFT implementation is available in the package accelerate.mkl.fftpack, and MKL service functions are available in the accelerate.mkl package.