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• afnumpy-master
  • afnumpy
    • decorators.py
    • sparse
      • sputils.py
      • __init__.py
      • csr.py
      • base.py
    • fft.py
    • random.py
    • lib
      • arraypad.py
      • function_base.py
      • type_check.py
      • stride_tricks.py
      • shape_base.py
      • __init__.py
      • scimath.py
    • indexing.py
    • multiarray.py
    • __init__.py
    • core
      • function_base.py
      • fromnumeric.py
      • multiarray.py
      • shape_base.py
      • __init__.py
      • numeric.py
      • dtypes.py
    • linalg
      • linalg.py
      • __init__.py
    • private_utils.py
  • examples
    • phase_retrieval.py
  • LICENSE
  • setup.py
  • setup.cfg
  • .travis.yml
  • README.md
  • tests
    • test_linalg.py
    • test_jit.py
    • test_performance.py
    • test_ndarray.py
    • test_lib.py
    • asserts.py
    • test_fft.py
    • test_arrayfire.py
    • test_core.py
    • conftest.py
  • .gitlab-ci.yml

afnumpy

Aims to be a GPU-ready drop-in replacement for numpy. Uses ArrayFire to do the actual computing.

How to cite

Please cite afnumpy as:

Filipe R. N. C. Maia. (2017). afnumpy: A GPU-ready drop-in replacement for NumPy, http://doi.org/10.5281/zenodo.262201