hephaestus-python
GPU array compute for Python over Hephaestus, the Atlas accelerator substrate: typed device buffers and kernel dispatch behind one device layer that runs on WGPU today and CUDA where it is built for.
Install
pip install hephaestus-python
The distribution is hephaestus-python; the module you import is
pyhephaestus. Wheels are built for CPython 3.9 through 3.13 on Linux,
Windows, and macOS.
Use
import numpy as np
import pyhephaestus as hp
device = hp.Device() # picks an available backend
print(device.backend_name) # e.g. "wgpu"
a = hp.Array.from_numpy(np.arange(8, dtype=np.float32), device)
c = hp.add(a, a) # runs on the device
total = hp.sum(c) # still an Array, still on the device
print(total.to_numpy()[0]) # 56.0
print(c.to_numpy()) # back to NumPy, host side
Arrays are one-dimensional, float32, and C-contiguous. Data crosses the
host/device boundary only where you ask it to — from_numpy uploads,
to_numpy downloads — and a reduction returns an Array rather than a Python
float, so a chain of operations stays resident on the device instead of
round-tripping through the host at every step.
What is exposed
Device— backend selection and identification.Array— device-residentfloat32buffers,zeros,from_numpy,to_numpy.SparseMatrix— sparse device matrices in compressed-row form.- Elementwise —
add,sub,mul,div,pow,exp,log,sin,cos,sqrt,abs,neg, also available as operators onArray. - Reductions —
sum,min,max,mean,norm_l1,norm_l2. - Linear algebra —
matmul,dot,trace, decompositions, matrix functions, spectral transforms, scans, and random generation.
About CUDA
Published wheels enable the portable WGPU backend. The CUDA entry points are
present in those wheels and return a typed backend-unavailable error rather
than falling back silently — a fallback that quietly ran somewhere other than
where you asked would be the harder bug. For the native CUDA backend, build
from source on a CUDA 13.2+ host with --features cuda.
Why the kernels are not here
This package is a binding surface: it converts types, maps Rust errors onto Python exceptions, and releases the GIL around compute. Every kernel lives in the Rust crates it wraps, so there is one implementation and one place to verify it.
Links
Licence
MIT or Apache-2.0, at your option.
1 maintainer
Metadata
1 maintainer
Release files for hephaestus-python 0.20.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| hephaestus_python-0.20.1.tar.gz | 865.2 kB | With provenance | Details for hephaestus_python-0.20.1.tar.gz |
Built distributions (wheels)
Total release size: 117.6 MB
Release files / hephaestus_python-0.20.1.tar.gz
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| Size | 865.2 kB |
| Tags | Source |
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