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[ 源代码： pytorch-cuda ]
软件包：libtorch-cuda-test（2.6.0+dfsg-6） [contrib]
libtorch-cuda-test 的相关链接
Debian 的资源：
下载源码包 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]
维护小组：
外部的资源：
- 主页 [pytorch.org]
相似软件包：
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).
其他与 libtorch-cuda-test 有关的软件包
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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 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
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- dep: libcudart12
- NVIDIA CUDA Runtime Library
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- dep: libgcc-s1 (>= 3.0) [除 arm64]
- GCC 支持库
- dep: libgcc-s1 (>= 4.5) [arm64]
-
- 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 标准 C++ 库，第3版
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- dep: libtorch-cuda-2.6 (= 2.6.0+dfsg-6)
- Tensors and Dynamic neural networks in Python (Shared Objects)