libtorch2.0 2.0.1+dfsg-4 (amd64 binary) in ubuntu noble
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:
- 2.0.1+dfsg-4
- Status:
- Superseded
- Component:
- universe
- Priority:
- Optional
Downloadable files
amd64 build of pytorch 2.0.1+dfsg-4 in ubuntu mantic PROPOSED produced
these files:
- libtorch2.0_2.0.1+dfsg-4_amd64.deb (33.2 MiB)
Package relationships
- Depends on:
- libavcodec60 (>= 7:6.0)
- libavformat60 (>= 7:6.0)
- libavutil58 (>= 7:6.0)
- libblas3
- libc6 (>= 2.38)
- libcpuinfo0 (>= 0.0~git20220819.8ec7bd9~)
- libdnnl2 (>= 2.7.4)
- libfmt9 (>= 9.1.0+ds1)
- libgcc-s1 (>= 3.4)
- libgloo0 (>= 0.0~git20230117.1090929)
- libgomp1 (>= 4.9)
- liblapack3
- libleveldb1d (>= 1.23)
- liblmdb0 (>= 0.9.6)
- libnuma1 (>= 2.0.11)
- libonnx1 (>= 1.13.1)
- 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 (>= 13.1)
- libswresample4 (>= 7:6.0)
- libswscale7 (>= 7:6.0)
- libtensorpipe0 (>= 0.0~git20220513.bb1473a)
- libxnnpack0 (>= 0.0~git20221221.51a9875)
- libzmq5 (>= 3.2.3+dfsg)
- libzstd1 (>= 1.5.5)
- ocl-icd-libopencl1
- Conflicts:
- libtorch-cuda-1.13
- libtorch-cuda-2.0
- libtorch1.13
- Replaces:
- libtorch-cuda-1.13
- libtorch-cuda-2.0
- libtorch1.13
- Recommends: