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bixverse-gpu

GPU twins of the bixverse single cell methods, on wgpu, in Rust. Import it as bixverse_gpu.

Install

uv pip install "bixverse[gpu]"

This pulls bixverse and manifolds-rs (the GPU UMAP, densMAP, t-SNE and PHATE run there). For those twins you'll want bixverse[gpu,embed]. There is no GPU den-SNE or ForceAtlas2; use the bixverse.embed ones.

Layout

Each module mirrors its bixverse namesake: pp, graph, embed, integrate, de, doublets, metacells, nmf, pathways and trees. The functions take the same SingleCells objects, write the same cache slots (bar Harmony and fastMNN, which write harmony_gpu and mnn_gpu) and obs columns and return the same result types, so a pipeline swaps one import for the other. GPU-specific knobs live in bixverse_gpu.params; everything else takes the bixverse.params bundles.

import bixverse as bv
import bixverse_gpu as bvg

bv.pp.find_hvg(sc, hvg_no=2000)
bvg.pp.calculate_pca(sc, 30)
bvg.graph.find_neighbours(sc)
bvg.graph.find_clusters(sc, res=1.0, name="leiden_clusters")

bvg.gpu_available() probes for an adapter. Without one the twins raise bixverse.BixverseError. A few results get their own name in the cache (harmony_gpu, mnn_gpu).

Metadata

Release files for bixverse-gpu 0.3.1

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Built distributions (wheels)

Table of built distributions (wheels) for bixverse-gpu 0.3.1
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bixverse_gpu-0.3.1-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl CPython 3.11 abi3 Linux glibc 2.17+ x86-64 Details for bixverse_gpu-0.3.1-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
bixverse_gpu-0.3.1-cp311-abi3-macosx_11_0_arm64.whl CPython 3.11 abi3 macOS 11.0+ ARM64 Details for bixverse_gpu-0.3.1-cp311-abi3-macosx_11_0_arm64.whl
bixverse_gpu-0.3.1-cp311-abi3-macosx_10_12_x86_64.whl CPython 3.11 abi3 macOS 10.12+ x86-64 Details for bixverse_gpu-0.3.1-cp311-abi3-macosx_10_12_x86_64.whl

Total release size: 60.4 MB

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