renewable-huber-native-cuda
Optional Rust/CUDA 12 engine for
renewable-huber. Version
0.7.1 requires exactly renewable-huber==0.7.1.
python -m pip install renewable-huber-native-cuda==0.7.1
Release wheels cover CPython 3.10–3.13 on Windows x86-64 and Linux x86-64
(manylinux_2_28). The wheel does not bundle NVIDIA libraries. Instead it depends on
NVIDIA's own nvidia-cuda-runtime-cu12, nvidia-cublas-cu12,
nvidia-cusolver-cu12, nvidia-cusparse-cu12 and nvidia-nvjitlink-cu12
wheels, and loads that complete set at import. When the set is incomplete it
falls back to a system CUDA 12 toolkit (CUDA_PATH on Windows, the default
loader path on Linux). A compatible NVIDIA driver is always required. Rust,
CMake, Visual Studio and nvcc are not required to install the wheel.
from renewable_huber import RenewableHuberRegressor
model = RenewableHuberRegressor(
backend="native_cuda",
device="cuda",
dtype="float32",
penalty="l1", # or "none"
)
model.fit(X, y)
The whole-batch engine accepts contiguous host NumPy arrays. Its update path also accepts C-contiguous CuPy, PyTorch-CUDA and TensorFlow-eager GPU tensors through DLPack in exact float32 or float64. All inputs must already be on the selected engine device; dtype casts, contiguous copies, cross-device copies and host staging are never implicit. CuPy/PyTorch negotiate the consumer stream directly; TensorFlow uses an explicit producer synchronization boundary before zero-copy export.
predict accepts host arrays and, since Python API 4, the same CUDA DLPack
tensors, which it reads in place on the engine stream; the result is always a
NumPy array. The engine implements penalty="none" and penalty="l1" (C ABI
2) and is always selected explicitly; backend="auto" never chooses native
CUDA. See the project
support matrix
for CUDA Graph and fast-math
limits.
Source builds require CUDA Toolkit 12.x (12.8+ for the release architecture
set), Visual Studio 2022 C++ Build Tools on Windows, CMake, Ninja, Rust and
Maturin. Linux release wheels are built inside manylinux_2_28 by
scripts/native/build_linux_cuda_wheel.sh. Developer builds target the active GPU by default and are not portable
release wheels.
1 maintainer
Metadata
1 maintainer
Release files for renewable-huber-native-cuda 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 4.9 MB
Release files / renewable_huber_native_cuda-0.7.1-cp313-cp313-win_amd64.whl
| Download URL | renewable_huber_native_cuda-0.7.1-cp313-cp313-win_amd64.whl |
|---|---|
| Size | 551.3 kB |
| Tags | CPython 3.13 Windows x86-64 |
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| Download URL | renewable_huber_native_cuda-0.7.1-cp313-cp313-manylinux_2_28_x86_64.whl |
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| Size | 660.2 kB |
| Tags | CPython 3.13 Linux glibc 2.28+ x86-64 |
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| Download URL | renewable_huber_native_cuda-0.7.1-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 552.1 kB |
| Tags | CPython 3.12 Windows x86-64 |
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| Size | 661.0 kB |
| Tags | CPython 3.12 Linux glibc 2.28+ x86-64 |
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| Size | 555.0 kB |
| Tags | CPython 3.11 Windows x86-64 |
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| Size | 664.8 kB |
| Tags | CPython 3.11 Linux glibc 2.28+ x86-64 |
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| Size | 554.9 kB |
| Tags | CPython 3.10 Windows x86-64 |
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| Download URL | renewable_huber_native_cuda-0.7.1-cp310-cp310-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 665.2 kB |
| Tags | CPython 3.10 Linux glibc 2.28+ x86-64 |
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