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
import oa
assert oa.runtime.OaInitComputeEngine()
x = oa.core.Rand([64, 32])
layer = oa.ml.OaLinear(32, 64)
with oa.Context():
y = layer.Forward(x)
Modules
| Namespace | Surface |
|---|---|
oa.core |
matrices, shapes, dtypes, factories, and tensor operations |
oa.runtime |
engine lifecycle and compute contexts |
oa.ml |
modules, autograd, losses, optimizers, training, and metrics |
oa.vision |
image operations, codecs, video, and capture |
oa.audio |
decode/encode and GPU audio processing |
oa.crypto |
host cryptography and GPU public-data hashing |
Python uses the same compute graph and kernels as native C++; it is not a NumPy or CPU
fallback implementation. End-to-end MNIST and NLP training examples live under
Tutorial/Py.
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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