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[ sid ]
[ 原始碼： pytorch-cuda ]
套件：libtorch-cuda-test（2.6.0+dfsg-6） [contrib]
libtorch-cuda-test 的相關連結
Debian 的資源：
下載原始碼套件 pytorch-cuda：
- [pytorch-cuda_2.6.0+dfsg-6.dsc]
- [pytorch-cuda_2.6.0+dfsg.orig.tar.xz]
- [pytorch-cuda_2.6.0+dfsg-6.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [pytorch.org]
相似套件：
Tensors and Dynamic neural networks in Python (Test Binaries)
PyTorch is a Python package that provides two high-level features:
(1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
This is the CUDA version of PyTorch (Test Binaries).
其他與 libtorch-cuda-test 有關的套件
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- dep: libbenchmark1.9.1 (>= 1.9.1)
- Microbenchmark support library, shared library
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- dep: libc6 (>= 2.38)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libcudart12
- NVIDIA CUDA Runtime Library
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- dep: libgcc-s1 (>= 3.0) [除 arm64]
- GCC 支援函式庫
- dep: libgcc-s1 (>= 4.5) [arm64]
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- dep: libsleef3 (>= 3.6.1) [除 amd64]
- SLEEF Vectorized Math Library (libraries)
- dep: libsleef3 (>= 3.6.1-1~) [amd64]
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- dep: libstdc++6 (>= 12)
- GNU Standard C++ Library v3
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- dep: libtorch-cuda-2.6 (= 2.6.0+dfsg-6)
- Tensors and Dynamic neural networks in Python (Shared Objects)