[ 原始碼: pytorch ]
套件:libtorch-test(2.6.0+dfsg-5 以及其他的)
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 CPU-only version of PyTorch (Test Binaries).
其他與 libtorch-test 有關的套件
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- dep: libbenchmark1 (>= 1.5.2) [hppa]
- Microbenchmark support library, shared library
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- dep: libbenchmark1.9.1 (>= 1.9.1) [除 hppa]
- Microbenchmark support library, shared library
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- dep: libc6 (>= 2.29) [hppa]
- 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
- dep: libc6 (>= 2.38) [除 hppa]
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- dep: libgcc-s1 (>= 3.0) [amd64, ppc64el, s390x]
- GCC 支援函式庫
- dep: libgcc-s1 (>= 4.5) [arm64, riscv64]
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- dep: libgcc-s4 (>= 4.1.1) [hppa]
- GCC 支援函式庫
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- dep: libgflags2.2 (>= 2.2.2) [hppa]
- commandline flags module for C++ (shared library)
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- dep: libgomp1 (>= 4.9) [hppa]
- GCC OpenMP (GOMP) support library
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- dep: libgoogle-glog0v5 (>= 0.4.0) [hppa]
- 套件暫時不可用
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- dep: libprotobuf23 (>= 3.12.4) [hppa]
- protocol buffers C++ library
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- dep: libsleef3 (>= 3.6.1) [除 amd64, hppa]
- SLEEF Vectorized Math Library (libraries)
- dep: libsleef3 (>= 3.6.1-1~) [amd64]
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- dep: libstdc++6 (>= 14) [除 hppa]
- GNU Standard C++ Library v3
- dep: libstdc++6 (>= 9) [hppa]
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- dep: libtorch1.8 (= 1.8.1-2) [hppa]
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- dep: libtorch2.6 (= 2.6.0+dfsg-5) [除 hppa]
- Tensors and Dynamic neural networks in Python (Shared Objects)
下載 libtorch-test
硬體架構 | 版本 | 套件大小 | 安裝後大小 | 檔案 |
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amd64 | 2.6.0+dfsg-5 | 7,848。1 kB | 63,264。0 kB | [檔案列表] |
arm64 | 2.6.0+dfsg-5 | 6,641。9 kB | 63,757。0 kB | [檔案列表] |
hppa (非官方移植版) | 1.8.1-2 | 8,183。9 kB | 71,303。0 kB | [檔案列表] |
ppc64el | 2.6.0+dfsg-5 | 7,014。9 kB | 74,381。0 kB | [檔案列表] |
riscv64 | 2.6.0+dfsg-5 | 6,931。0 kB | 48,860。0 kB | [檔案列表] |
s390x | 2.6.0+dfsg-5 | 6,491。9 kB | 62,112。0 kB | [檔案列表] |