Debian NEW package overview for pytorch-geometric
| pytorch-geometric_2.3.1-1_amd64.changes (click to toggle) | |
|---|---|
| Format: | 1.8 |
| Date: | Mon, 18 Sep 2023 08:47:57 -0400 |
| Source: | pytorch-geometric |
| Binary: | python3-torch-geometric |
| Architecture: | source all |
| Version: | 2.3.1-1 |
| 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-geometric - Graph Neural Network Library for PyTorch |
| Closes: | 970575 |
| Changes: | pytorch-geometric (2.3.1-1) unstable; urgency=medium * Initial release. (Closes: #970575) |
| Files: | f416f65512a0f683c1b0dfb69f36e6b6 2411 science optional pytorch-geometric_2.3.1-1.dsc 1e347c609e085b4675de8c910e4bf986 2389102 science optional pytorch-geometric_2.3.1.orig.tar.gz e6a1e4a7d5c64c04f11c1d49182121bc 10144 science optional pytorch-geometric_2.3.1-1.debian.tar.xz 440814736e9d9b878b00255940192bab 440604 science optional python3-torch-geometric_2.3.1-1_all.deb d6d744c0c580dbdbd3819bb4d4dfbbba 18707 science optional pytorch-geometric_2.3.1-1_amd64.buildinfo |
| pytorch-geometric_2.3.1-1.dsc (click to toggle) | |
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| Format: | 3.0 (quilt) |
| Source: | pytorch-geometric |
| Binary: | python3-torch-geometric |
| Architecture: | all |
| Version: | 2.3.1-1 |
| Maintainer: | Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org> |
| Uploaders: | Andrius Merkys <merkys@debian.org>, |
| Homepage: | https://github.com/pyg-team/pytorch_geometric |
| Standards-Version: | 4.6.2 |
| Vcs-Browser: | https://salsa.debian.org/deeplearning-team/pytorch-geometric |
| Vcs-Git: | https://salsa.debian.org/deeplearning-team/pytorch-geometric.git |
| Testsuite: | autopkgtest-pkg-pybuild |
| Build-Depends: | debhelper-compat (=13), dh-sequence-python3, python3-setuptools, python3-all, python3-jinja2<!nocheck>, python3-pyparsing<!nocheck>, python3-pytest<!nocheck>, python3-sklearn<!nocheck>, python3-torch<!nocheck>, python3-torch-cluster<!nocheck>, python3-torch-sparse<!nocheck>, python3-tqdm<!nocheck> |
| Package-List: | python3-torch-geometric deb science optional arch=all |
| Files: | 1e347c609e085b4675de8c910e4bf986 2389102 pytorch-geometric_2.3.1.orig.tar.gz e6a1e4a7d5c64c04f11c1d49182121bc 10144 pytorch-geometric_2.3.1-1.debian.tar.xz |
| control file for python3-torch-geometric_2.3.1-1_all.deb (click to toggle) | |
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| Package: | python3-torch-geometric |
| Source: | pytorch-geometric |
| Version: | 2.3.1-1 |
| Architecture: | all |
| Maintainer: | Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org> |
| Installed-Size: | 3141 |
| Depends: | python3-jinja2, python3-numpy, python3-psutil, python3-pyparsing, python3-requests, python3-scipy, python3-sklearn, python3-tqdm, python3:any |
| Section: | science |
| Priority: | optional |
| Homepage: | https://github.com/pyg-team/pytorch_geometric |
| Description: | Graph Neural Network Library for PyTorch PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. . It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. |
| contents of python3-torch-geometric_2.3.1-1_all.deb (click to toggle) | |
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| copyright of python3-torch-geometric_2.3.1-1_all.deb (click to toggle) | |
|---|---|
Format: https://www.debian.org/doc/packaging-manuals/copyright-format/1.0/
Source: https://github.com/pyg-team/pytorch_geometric
Upstream-Name: PyTorch Geometric
Upstream-Contact: https://github.com/pyg-team/pytorch_geometric/issues
Files: *
Copyright: 2023, Matthias Fey <matthias@pyg.org>, PyG Team <team@pyg.org>
License: Expat
Files: torch_geometric/datasets/airfrans.py
Copyright: 2023, Florent Bonnet <bonnet@isir.upmc.fr>, Jocelyn Ahmed Mazari <ahmed@extrality.ai>, Paola Cinnella <paola.cinnella@sorbonne-universite.fr>, Patrick Gallinari <patrick.gallinari@sorbonne-universite.fr>
License: ODbL-1.0
Files: debian/*
Copyright: 2023, Andrius Merkys <merkys@debian.org>
License: Expat
License: Expat
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| |
Timestamp: 18.09.2023 / 15:12:03 (UTC)