deb_control_files:
- control
- md5sums
- shlibs
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deb_fields:
Architecture: amd64
Conflicts: libtorch-cuda-1.13, libtorch-cuda-2.0, libtorch1.13, libtorch2.0, libtorch2.1
Depends: libavcodec60 (>= 7:6.0), libavformat60 (>= 7:6.0), libavutil58 (>= 7:6.0),
libblas3 | libblas.so.3, libc6 (>= 2.36), libcpuinfo0 (>= 0.0~git20220819.8ec7bd9~),
libcublas12, libcublaslt12, libcuda1 (>= 384) | libcuda.so.1 (>= 384), libcudart12,
libcufft11, libcurand10, libcusolver11, libcusparse12, libdnnl3 (>= 3.1.1), libfmt9
(>= 9.1.0+ds1), libgcc-s1 (>= 3.4), libgloo-cuda-0 (>= 0.0~git20230117.1090929),
libgomp1 (>= 4.9), liblapack3 | liblapack.so.3, libleveldb1d (>= 1.23), liblmdb0
(>= 0.9.6), libnccl2 (>= 2.16.5), libnuma1 (>= 2.0.11), libnvrtc12, libnvtoolsext1
(>= 5.0), libonnx1 (>= 1.14.1), libopencv-calib3d406 (>= 4.6.0+dfsg), libopencv-contrib406
(>= 4.6.0+dfsg), libopencv-core406 (>= 4.6.0+dfsg), libopencv-dnn406 (>= 4.6.0+dfsg),
libopencv-features2d406 (>= 4.6.0+dfsg), libopencv-flann406 (>= 4.6.0+dfsg), libopencv-highgui406
(>= 4.6.0+dfsg), libopencv-imgcodecs406 (>= 4.6.0+dfsg), libopencv-imgproc406
(>= 4.6.0+dfsg), libopencv-video406 (>= 4.6.0+dfsg), libopencv-videoio406 (>=
4.6.0+dfsg), libprotobuf32 (>= 3.21.12), libpthreadpool0 (>= 0.0~git20210507.1787867~),
libsleef3 (>= 3.3), libsnappy1v5 (>= 1.1.10), libstdc++6 (>= 12), libswresample4
(>= 7:6.0), libswscale7 (>= 7:6.0), libtensorpipe-cuda-0 (>= 0.0~git20220513.bb1473a),
libtinfo6 (>= 6), libxnnpack0 (>= 0.0~git20221221.51a9875), libz3-4 (>= 4.8.12),
libzmq5 (>= 3.2.3+dfsg), libzstd1 (>= 1.5.5), nvidia-cudnn (>= 8.9.2.26~), zlib1g
(>= 1:1.2.0)
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 CUDA version of PyTorch (Shared Objects).
Homepage: https://pytorch.org/
Installed-Size: '567728'
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Multi-Arch: same
Package: libtorch-cuda-2.1
Priority: optional
Recommends: libopenblas0 | libblis3 | libatlas3-base | libmkl-rt | libblas3
Replaces: libtorch-cuda-1.13, libtorch-cuda-2.0, libtorch1.13, libtorch2.0, libtorch2.1
Section: contrib/libs
Source: pytorch-cuda
Version: 2.1.2+dfsg-3
srcpkg_name: pytorch-cuda
srcpkg_version: 2.1.2+dfsg-3