Artifact libtorch2.5_2.5.0+dfsg-1+b1_amd64

deb_control_files:
- control
- md5sums
- shlibs
- triggers
deb_fields:
  Architecture: amd64
  Conflicts: libtorch-cuda-1.13, libtorch-cuda-2.0, libtorch-cuda-2.1, libtorch-cuda-2.4,
    libtorch-cuda-2.5, libtorch1.13, libtorch2.0, libtorch2.1
  Depends: libblas3 | libblas.so.3, libc6 (>= 2.38), libcpp-httplib0.16 (>= 0.16.3+ds),
    libcpuinfo0 (>= 0.0~git20230113.6481e8b~), libdnnl3 (>= 3.5.3), libfmt10 (>= 10.1.1+ds1),
    libgcc-s1 (>= 3.4), libgloo0 (>= 0.0~git20231202.5354032), libgomp1 (>= 4.9),
    liblapack3 | liblapack.so.3, libnuma1 (>= 2.0.11), libonnx1t64 (>= 1.16.2), libopenmpi3t64
    (>= 5.0.5), libprotobuf32t64 (>= 3.21.12), libpthreadpool0 (>= 0.0~git20210507.1787867~),
    libsleef3 (>= 3.6.1-1~), libstdc++6 (>= 14), libtensorpipe0 (>= 0.0~git20220513.bb1473a),
    libxnnpack0 (>= 0.0~git20240821.87ee0b4)
  Description: |-
    Tensors and Dynamic neural networks in Python (Shared Objects)
     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 (Shared Objects).
  Homepage: https://pytorch.org/
  Installed-Size: '174243'
  Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
  Multi-Arch: same
  Package: libtorch2.5
  Priority: optional
  Recommends: libopenblas0 | libblis3 | libatlas3-base | libmkl-rt | libblas3
  Replaces: libtorch-cuda-1.13, libtorch-cuda-2.0, libtorch-cuda-2.1, libtorch-cuda-2.4,
    libtorch-cuda-2.5, libtorch1.13, libtorch2.0, libtorch2.1
  Section: libs
  Source: pytorch (2.5.0+dfsg-1)
  Version: 2.5.0+dfsg-1+b1
srcpkg_name: pytorch
srcpkg_version: 2.5.0+dfsg-1