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Пакет: libtorch-test (1.8.1-4)

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 and Caffe2 (Test Binaries).

Другие пакеты, относящиеся к libtorch-test

  • зависимости
  • рекомендации
  • предложения
  • dep: libbenchmark1 (>= 1.6.1)
    Microbenchmark support library, shared library
  • dep: libc6 (>= 2.34)
    GNU C Library: Shared libraries
    также виртуальный пакет, предоставляемый libc6-udeb
  • dep: libgcc-s1 (>= 3.0) [не arm64]
    GCC support library
    dep: libgcc-s1 (>= 4.5) [arm64]
  • dep: libgflags2.2 (>= 2.2.2)
    commandline flags module for C++ (shared library)
  • dep: libgomp1 (>= 4.9)
    GCC OpenMP (GOMP) support library
  • dep: libgoogle-glog0v5 (>= 0.5.0+really0.4.0)
    library that implements application-level logging.
  • dep: libprotobuf23 (>= 3.12.4)
    protocol buffers C++ library
  • dep: libstdc++6 (>= 11)
    GNU Standard C++ Library v3
  • dep: libtorch1.8 (= 1.8.1-4)
    Tensors and Dynamic neural networks in Python (Shared Objects)
  • dep: libunwind8 [amd64]
    library to determine the call-chain of a program - runtime

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