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Bug#1052148: marked as done (ITP: pytorch-cluster -- PyTorch extension library of optimized graph cluster algorithms)



Your message dated Fri, 29 Sep 2023 18:06:42 +0000
with message-id <E1qmHsw-005r0b-Vl@fasolo.debian.org>
and subject line Bug#1052148: fixed in pytorch-cluster 1.6.1-1
has caused the Debian Bug report #1052148,
regarding ITP: pytorch-cluster -- PyTorch extension library of optimized graph cluster algorithms
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

(NB: If you are a system administrator and have no idea what this
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immediately.)


-- 
1052148: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1052148
Debian Bug Tracking System
Contact owner@bugs.debian.org with problems
--- Begin Message ---
Package: wnpp
Owner: Andrius Merkys <merkys@debian.org>
Severity: wishlist
Control: block 970575 by -1

* Package name    : pytorch-cluster
  Version         : 1.6.1
  Upstream Author : Matthias Fey
* URL             : https://github.com/rusty1s/pytorch_cluster
* License         : Expat
  Programming Lang: C
Description : 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.

pytorch-cluster is a test dependency for pytorch-geometric (ITP bug #970575).

Remark: This package is to be maintained with Debian Deep Learning Team at
   https://salsa.debian.org/deeplearning-team/pytorch-cluster

--- End Message ---
--- Begin Message ---
Source: pytorch-cluster
Source-Version: 1.6.1-1
Done: Andrius Merkys <merkys@debian.org>

We believe that the bug you reported is fixed in the latest version of
pytorch-cluster, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 1052148@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Andrius Merkys <merkys@debian.org> (supplier of updated pytorch-cluster package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmaster@ftp-master.debian.org)


-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512

Format: 1.8
Date: Mon, 18 Sep 2023 03:45:44 -0400
Source: pytorch-cluster
Binary: python3-torch-cluster
Architecture: source amd64
Version: 1.6.1-1
Distribution: unstable
Urgency: medium
Maintainer: Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Changed-By: Andrius Merkys <merkys@debian.org>
Description:
 python3-torch-cluster - PyTorch extension library of optimized graph cluster algorithms (
Closes: 1052148
Changes:
 pytorch-cluster (1.6.1-1) unstable; urgency=medium
 .
   * Initial release. (Closes: #1052148)
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