[ bianca ]
[ ソース: pytorch ]
パッケージ: libtorch-test (2.6.0+dfsg-7)
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).
その他の libtorch-test 関連パッケージ
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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 Library: Shared libraries
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
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- dep: libgcc-s1 (>= 3.0) [amd64]
- GCC support library
- dep: libgcc-s1 (>= 4.5) [arm64]
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- dep: libsleef3 (>= 3.6.1) [arm64]
- SLEEF Vectorized Math Library (libraries)
- dep: libsleef3 (>= 3.6.1-1~) [amd64]
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- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
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- dep: libtorch2.6 (= 2.6.0+dfsg-7)
- Tensors and Dynamic neural networks in Python (Shared Objects)