eLxr packages [ bianca ]
[ 原始碼： pytorch-cluster ]
套件：python3-torch-cluster（1.6.3-2）
python3-torch-cluster 的相關連結
下載原始碼套件 pytorch-cluster：
- [pytorch-cluster_1.6.3-2.debian.tar.xz]
- [pytorch-cluster_1.6.3-2.dsc]
- [pytorch-cluster_1.6.3.orig.tar.gz]
維護小組：
外部的資源：
- 主頁 [github.com]
相似套件：
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.
其他與 python3-torch-cluster 有關的套件
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- dep: libc6 (>= 2.32)
- GNU C Library: Shared libraries
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC support library
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- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
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- dep: libtorch2.6 (>= 2.6.0+dfsg)
- Tensors and Dynamic neural networks in Python (Shared Objects)
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.14)
- dep: python3 (>= 3.13~)
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- dep: python3-scipy
- scientific tools for Python 3
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- dep: python3-torch
- Tensors and Dynamic neural networks in Python (Python Interface)