On Tue, Jan 2, 2018 at 10:37 AM, Yasunori Endo <jo7...@gmail.com> wrote: > Hi > > I recently started working with Python and GPU, > found that there're lot's of libraries provides > ndarray like interface such as CuPy/PyOpenCL/PyCUDA/etc. > I got so confused which one to use. > > Is there any reason not to support GPU computation > directly on the NumPy itself? > I want NumPy to support GPU computation as a standard. > > If the reason is just about human resources, > I'd like to try implementing GPU support on my NumPy fork. > My goal is to create standard NumPy interface which supports > both CUDA and OpenCL, and more devices if available. > > Are there other reason not to support GPU on NumPy? > > Thanks. > -- > Yasunori Endo
Check out numba - it may already address some of your needs: https://numba.pydata.org/ -- Lev E. Givon, PhD http://lebedov.github.io _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
