oapython
oapython is the Python distribution for
OA, a cross-vendor Vulkan 1.4 GPU compute,
machine-learning, vision, audio, and cryptography framework. Install oapython; import
it as oa.
0.7 development preview. The bindings execute real OA C++ objects and Vulkan kernels, but the Python API and binary ABI are not frozen.
Install
python -m pip install oapython
The current wheel targets Linux x86-64, CPython 3.12, and glibc 2.39+. The host must provide a Vulkan loader and a working vendor ICD.
First computation
from oa import *
a = OaFnMatrix.Ones([2, 3])
b = OaFnMatrix.Full([2, 3], 2.0)
c = (a + b) * 0.5
print(OaFnMatrix.CopyToHost(c))
Import is host-only. The first device-backed request creates the native OA host; beginner code does not initialize an engine manually.
Public surface
| Owner | Surface |
|---|---|
OaMatrix, OaFnMatrix |
matrices, shapes, dtypes, factories, operators, and numerical operations |
OaModule, OaFnLoss, OaFnAutograd |
modules, autograd, losses, optimizers, training, and metrics |
OaImage, OaFnImage, OaImageDecoder, OaImageEncoder |
image operations, still-image codecs, video, and capture |
OaAudio, OaFnAudio, OaAudioDecoder, OaAudioEncoder |
semantic audio decode, processing, and encode |
OaFnHash and Crypto values |
host cryptography and GPU public-data hashing when included in the wheel |
Python uses the same compute graph and kernels as native C++; it is not a NumPy or CPU fallback implementation. Public names retain their C++ PascalCase spelling so a Python prototype translates directly to the C++ API. Lowercase domain modules remain compatibility aliases, not the canonical tutorial vocabulary.
Core, ML, Audio, Vision, end-to-end MNIST, and the complete 16-entry NLP suite live under
Tutorial/Py.
The current desktop matrix and preview-to-preview performance history are published in
the NLP benchmark.
Links
OA is source-available under the Business Source License 1.1 and converts to Apache-2.0 on the Change Date stated in the license.
1 maintainer
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