Ubuntu
pytorch-cluster package

pytorch-cluster 1.6.3-1build1 source package in Ubuntu

Changelog

pytorch-cluster (1.6.3-1build1) noble; urgency=medium

  * No-change rebuild with Python 3.12 as default

 -- Graham Inggs <email address hidden>  Sat, 20 Jan 2024 09:07:29 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Noble
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Noble proposed universe misc

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File Size SHA-256 Checksum
pytorch-cluster_1.6.3.orig.tar.gz 48.8 KiB 0e2b08095e03cf87ce9b23b7a7352236a25d3ed92d92351dc020fd927ea8dbfe
pytorch-cluster_1.6.3-1build1.debian.tar.xz 3.1 KiB 62cd5c6d74e2970ae46ceb2d055cf101b2f81cdc4016b8076abad98b909f8d38
pytorch-cluster_1.6.3-1build1.dsc 2.2 KiB 2fa21e1fe1f83d9b1ae324809ddb8e69a4bd60772616bee68ed4f54e3a86cd66

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Binary packages built by this source

python3-torch-cluster: PyTorch extension library of optimized graph cluster algorithms (Python 3)

 This package consists of a small extension library of highly optimized graph
 cluster algorithms for the use in PyTorch. The package consists of the
 following clustering algorithms:
 .
  * Graclus from Dhillon et al.: Weighted Graph Cuts without Eigenvectors: A
    Multilevel Approach
  * Voxel Grid Pooling from, e.g., Simonovsky and Komodakis: Dynamic
    Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
  * Iterative Farthest Point Sampling from, e.g. Qi et al.: PointNet++: Deep
    Hierarchical Feature Learning on Point Sets in a Metric Space
  * k-NN and Radius graph generation
  * Clustering based on nearest points
  * Random Walk Sampling from, e.g., Grover and Leskovec: node2vec: Scalable
    Feature Learning for Networks
 .
 All included operations work on varying data types and are implemented both
 for CPU and GPU.
 .
 This package installs the library for Python 3.