oapython
oapython is the Python distribution for
OA, a Vulkan 1.4 GPU-first compute,
machine-learning, Vision, Audio, Ui, Plot, Media, 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 |
OaQuantizedMatrix, OaQuantization |
semantic Q4/Q8 inference weights, pack/dequantize, fused matmul, and .oam persistence |
OaModule, OaFnLoss, OaFnAutograd |
modules, autograd, losses, optimizers, training, and metrics |
OaImage, OaFnImage |
image operations and still-image codecs; Vision/Media sessions own video and capture |
OaAudio, OaFnAudio, OaAudioStreamEncoder |
semantic audio decode/processing/encode operations, GPU saturation/Biquad/SOS filters, and stateful packetization |
OaPlot |
retained figures, Line/Scatter/Bar/Histogram/Heatmap/Image artists, themes, and deterministic image output |
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.
GPU Audio operations use the same public values in Python and C++:
from oa import OaBiquadCoefficients, OaFnAudio
audio = OaFnAudio.DecodeFile("input.wav")
section = OaBiquadCoefficients()
section.B0, section.B1, section.B2 = 0.25, 0.5, 0.25
filtered = OaFnAudio.SosFilter(audio, [section])
mastered = OaFnAudio.Saturate(filtered, 6.0, 0.5)
OaFnAudio.SaveWavF32("output.wav", mastered)
Core, Ml, Audio, Vision, Plot, 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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