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Package: libtorch-dev (1.8.1-4)

Tensors and Dynamic neural networks in Python (Development Files)

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 (Development files).

Other Packages Related to libtorch-dev

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  • dep: libgflags-dev
    commandline flags module for C++ (development files)
  • dep: libgoogle-glog-dev
    library that implements application-level logging.
  • dep: libprotobuf-dev
    protocol buffers C++ library (development files) and proto files
  • dep: libtorch1.8 (= 1.8.1-4)
    Tensors and Dynamic neural networks in Python (Shared Objects)
  • dep: python3-dev
    header files and a static library for Python (default)

Download libtorch-dev

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Architecture Package Size Installed Size Files
arm64 1,387.8 kB10974 kB [list of files]