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This release is a pre-release and may not be stable for production use.

loom-py-rt-cuda

The CUDA backend for loom-py-rt. One shared library in one small wheel; there is nothing here to import.

pip install "loom-py-rt[cuda]"
import loom

loom.devices()                                   # a CUDA device now appears
model = loom.Model.from_file(path, device="gpu")

The base package is unchanged by installing this — it discovers the library on sys.path at import and device="auto" starts using it. That is what GGML_BACKEND_DL buys: no second copy of the runtime per accelerator.

If it appears not to have worked

Check loom.devices(). A backend whose driver is too old, or which finds no supported device, loads without error and registers nothing — the only other symptom is a model running at CPU speed.

device="gpu" asks for an offload device with its own memory, preferring one the kernel confirms is a GPU. It is not a promise that CUDA specifically was chosen. Pass device="CUDA0" to require this backend.

Versioning

This package pins the base with ==, not ~=. It carries a libggml-cuda.so that is dlopened beside the base wheel's libggml-base.so, and ggml makes no ABI promise across revisions — so a base release that moves its ggml pin invalidates every backend wheel published before it. The exact pin is what stops pip from pairing two libraries that do not agree.

Metadata

Release files for loom-py-rt-cuda 1.0.0rc19

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loom_py_rt_cuda-1.0.0rc19-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl Python 3 none Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 Details
loom_py_rt_cuda-1.0.0rc19-py3-none-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl Python 3 none Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64 Details

Total release size: 129.8 MB

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Tags Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 Python 3
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