[ 原始碼： pytorch ]
套件：libtorch-test（1.7.1-7）
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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 and Caffe2 (Test Binaries).
其他與 libtorch-test 有關的套件
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- dep: libbenchmark1 (>= 1.5.2)
- Microbenchmark support library, shared library
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- dep: libc6 (>= 2.29)
- 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: libgcc-s1 (>= 3.0)
- GCC 支援函式庫
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- dep: libgflags2.2 (>= 2.2.2)
- commandline flags module for C++ (shared library)
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- dep: libgomp1 (>= 4.9)
- GCC OpenMP (GOMP) support library
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- dep: libgoogle-glog0v5 (>= 0.4.0)
- library that implements application-level logging.
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- dep: libprotobuf23 (>= 3.12.4)
- protocol buffers C++ library
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- dep: libstdc++6 (>= 9)
- GNU Standard C++ Library v3
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- dep: libtorch1.7 (= 1.7.1-7)
- Tensors and Dynamic neural networks in Python with strong GPU acceleration