libtorch2.1 2.1.2+dfsg-4ubuntu2 (ppc64el binary) in ubuntu oracular
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).
Details
- Package version:
- 2.1.2+dfsg-4ubuntu2
- Status:
- Published
- Component:
- universe
- Priority:
- Optional
Downloadable files
ppc64el build of pytorch 2.1.2+dfsg-4ubuntu2 in ubuntu oracular PROPOSED produced
these files:
- libtorch2.1_2.1.2+dfsg-4ubuntu2_ppc64el.deb (47.8 MiB)
Package relationships
- Depends on:
- libavcodec60 (>= 7:6.0)
- libavformat60 (>= 7:6.0)
- libavutil58 (>= 7:6.0)
- libblas3
- libc6 (>= 2.38)
- libcpuinfo0 (>= 0.0~git20230113.6481e8b~)
- libfmt9 (>= 9.1.0+ds1)
- libgcc-s1 (>= 4.2)
- libgloo0 (>= 0.0~git20230519.597accf)
- libgomp1 (>= 4.9)
- liblapack3
- libleveldb1d (>= 1.23)
- liblmdb0 (>= 0.9.6)
- libnuma1 (>= 2.0.11)
- libonnx1t64 (>= 1.14.1)
- libopencv-calib3d406t64 (>= 4.6.0+dfsg)
- libopencv-contrib406t64 (>= 4.6.0+dfsg)
- libopencv-core406t64 (>= 4.6.0+dfsg)
- libopencv-dnn406t64 (>= 4.6.0+dfsg)
- libopencv-features2d406t64 (>= 4.6.0+dfsg)
- libopencv-flann406t64 (>= 4.6.0+dfsg)
- libopencv-highgui406t64 (>= 4.6.0+dfsg)
- libopencv-imgcodecs406t64 (>= 4.6.0+dfsg)
- libopencv-imgproc406t64 (>= 4.6.0+dfsg)
- libopencv-video406t64 (>= 4.6.0+dfsg)
- libopencv-videoio406t64 (>= 4.6.0+dfsg)
- libprotobuf32t64 (>= 3.21.12)
- libsleef3 (>= 3.5.1)
- libsnappy1v5 (>= 1.2.1)
- libstdc++6 (>= 13.1)
- libswresample4 (>= 7:6.0)
- libswscale7 (>= 7:6.0)
- libtensorpipe0 (>= 0.0~git20220513.bb1473a)
- libtinfo6 (>= 6)
- libzmq5 (>= 3.2.3+dfsg)
- libzstd1 (>= 1.5.5)
- zlib1g (>= 1:1.2.0)
- Conflicts:
- libtorch-cuda-1.13
- libtorch-cuda-2.0
- libtorch-cuda-2.1
- libtorch1.13
- libtorch2.0
- Replaces:
- libtorch-cuda-1.13
- libtorch-cuda-2.0
- libtorch-cuda-2.1
- libtorch1.13
- libtorch2.0
- Recommends:
