Пакет: python3-torch-cluster (1.6.3-2)

Ссылки для python3-torch-cluster

Отслеживание заплат eLxr

Исходный код pytorch-cluster:

Сопровождающие:

Внешние ресурсы:

Сайт [github.com]

Подобные пакеты:

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.

Другие пакеты, относящиеся к python3-torch-cluster

зависимости

рекомендации

предложения

enhances

dep: libc6 (>= 2.32)

GNU C Library: Shared libraries
также виртуальный пакет, предоставляемый libc6-udeb
dep: libgcc-s1 (>= 3.0)

GCC support library
dep: libstdc++6 (>= 14)

GNU Standard C++ Library v3
dep: libtorch2.6 (>= 2.6.0+dfsg)

Tensors and Dynamic neural networks in Python (Shared Objects)
dep: python3

interactive high-level object-oriented language (default python3 version)

dep: python3 (<< 3.14)

dep: python3 (>= 3.13~)
dep: python3-scipy

scientific tools for Python 3
dep: python3-torch

Tensors and Dynamic neural networks in Python (Python Interface)

Загрузка python3-torch-cluster

Загрузить для всех доступных архитектур
Архитектура	Размер пакета	В установленном виде	Файлы
amd64	322,8 Кб	2 173,0 Кб	[список файлов]