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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 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.

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.

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oapython-0.7.9-cp312-cp312-manylinux_2_39_x86_64.whl (16.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.39+ x86-64

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