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pytorch_1.5.1-1_amd64.changes (click to toggle)
Format:1.8
Date:Sun, 26 Jul 2020 21:28:04 +0800
Source:pytorch
Binary:libtorch-dev libtorch-test libtorch-test-dbgsym libtorch1 libtorch1-dbgsym python3-torch python3-torch-dbgsym
Architecture:source amd64
Version:1.5.1-1
Distribution:experimental
Urgency:medium
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Changed-By:Mo Zhou <lumin@debian.org>
Description:
libtorch-dev - Tensors and Dynamic neural networks in Python with strong GPU acc
libtorch-test - Tensors and Dynamic neural networks in Python with strong GPU acc
libtorch1  - Tensors and Dynamic neural networks in Python with strong GPU acc
python3-torch - Tensors and Dynamic neural networks in Python with strong GPU acc
Changes:
pytorch (1.5.1-1) experimental; urgency=medium

  * New upstream version 1.5.1
  * Fix a small part of copyright that lintian complains about.
  * Rewrite autopkgtest: use script to automatically generate control file.
  * Automatically generate autopkgtest cases for upstream python tests.
  * Add the ordinal number to the name of autopkgtest cases.
  * Rules: add option to allow users to rebuild to -march=native.
  * Patch a python test case lest it break the /dev/null file.
  * Add build-essential and libtorch-dev to autopkgtest deps.
  * Refresh symbols control file.
Files:
4acca06d62e7b0b9d558d0a59e8b3fdd 2816 science optional pytorch_1.5.1-1.dsc
33625878e1104b202b0609ce0d75acce 10345641 science optional pytorch_1.5.1.orig.tar.gz
145c35a317133cbee6a4bde9c14ab7a7 166852 science optional pytorch_1.5.1-1.debian.tar.xz
cdabe7ae16238ffaadfc539ae66f5429 1160924 libdevel optional libtorch-dev_1.5.1-1_amd64.deb
33925ad4a09bf16ce44f029cecdd82c4 57675860 debug optional libtorch-test-dbgsym_1.5.1-1_amd64.deb
8d77a608ebdeae8b25f63a12dd5eeafe 8111520 science optional libtorch-test_1.5.1-1_amd64.deb
0d958f412255b6ae31189d79f732ae40 159731972 debug optional libtorch1-dbgsym_1.5.1-1_amd64.deb
51c91029adedc8d83e26fbf616fe1e64 15942004 libs optional libtorch1_1.5.1-1_amd64.deb
c575387e0e6e73aa44dc233a7a6ebe8e 23096196 debug optional python3-torch-dbgsym_1.5.1-1_amd64.deb
ec9662b6a6c34c857ae16f586d6d03e6 5016360 python optional python3-torch_1.5.1-1_amd64.deb
06856e6ff88f467f03c23da272e44cad 21758 science optional pytorch_1.5.1-1_amd64.buildinfo
pytorch_1.5.1-1.dsc (click to toggle)
Format:3.0 (quilt)
Source:pytorch
Binary:python3-torch, libtorch-dev, libtorch1, libtorch-test
Architecture:any
Version:1.5.1-1
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders:Mo Zhou <lumin@debian.org>,
Homepage:https://pytorch.org/
Standards-Version:4.5.0
Vcs-Browser:https://salsa.debian.org/deeplearning-team/pytorch
Vcs-Git:https://salsa.debian.org/deeplearning-team/pytorch.git
Testsuite:autopkgtest
Testsuite-Triggers:build-essential, python3-hypothesis, python3-pytest
Build-Depends:cmake, debhelper-compat (=12), dh-exec, dh-python, googletest, libasio-dev, libavcodec-dev, libbenchmark-dev, libcpuinfo-dev, libeigen3-dev, libfp16-dev, libfxdiv-dev, libgflags-dev, libgloo-dev, libgoogle-glog-dev, libleveldb-dev, liblmdb-dev, libonnx-dev, libopenblas-dev | libblas-dev, libopencv-dev, libopenmpi-dev, libprotobuf-dev, libprotoc-dev, libpsimd-dev, libpthreadpool-dev, libsleef-dev, libsnappy-dev, libxnnpack-dev, libzmq3-dev, ninja-build, protobuf-compiler, pybind11-dev, python3, python3-all, python3-all-dev, python3-cffi, python3-numpy, python3-onnx, python3-pybind11, python3-setuptools, python3-yaml
Package-List:libtorch-dev deb libdevel optional arch=any libtorch-test deb science optional arch=any libtorch1 deb libs optional arch=any python3-torch deb python optional arch=any
Files:
33625878e1104b202b0609ce0d75acce 10345641 pytorch_1.5.1.orig.tar.gz
145c35a317133cbee6a4bde9c14ab7a7 166852 pytorch_1.5.1-1.debian.tar.xz
lintian 2.84.0~bpo10+1 check for pytorch_1.5.1-1.dsc (click to toggle)
README.source for pytorch_1.5.1-1.dsc (click to toggle)
No README.source in this package
control file for libtorch-dev_1.5.1-1_amd64.deb (click to toggle)
Package:libtorch-dev
Source:pytorch
Version:1.5.1-1
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:9826
Depends:libtorch1 (=1.5.1-1)
Section:libdevel
Priority:optional
Homepage:https://pytorch.org/
Description:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
 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).
lintian 2.84.0~bpo10+1 check for libtorch-dev_1.5.1-1_amd64.deb (click to toggle)
contents of libtorch-dev_1.5.1-1_amd64.deb (click to toggle)
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control file for libtorch-test_1.5.1-1_amd64.deb (click to toggle)
Package:libtorch-test
Source:pytorch
Version:1.5.1-1
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:63120
Depends:libbenchmark1 (>=1.5.1), libc6 (>=2.29), libgcc-s1 (>=3.0), libgflags2.2, libgomp1 (>=4.9), libgoogle-glog0v5, libopenmpi3 (>=4.0.4), libprotobuf23 (>=3.12.3), libstdc++6 (>=9), libtorch1 (=1.5.1-1)
Section:science
Priority:optional
Homepage:https://pytorch.org/
Description:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
 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 (Test Binaries).
lintian 2.84.0~bpo10+1 check for libtorch-test_1.5.1-1_amd64.deb (click to toggle)
contents of libtorch-test_1.5.1-1_amd64.deb (click to toggle)
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control file for libtorch-test-dbgsym_1.5.1-1_amd64.deb (click to toggle)
Package:libtorch-test-dbgsym
Source:pytorch
Version:1.5.1-1
Auto-Built-Package:debug-symbols
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:79311
Depends:libtorch-test (=1.5.1-1)
Section:debug
Priority:optional
Description:
debug symbols for libtorch-test
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lintian 2.84.0~bpo10+1 check for libtorch-test-dbgsym_1.5.1-1_amd64.deb (click to toggle)
contents of libtorch-test-dbgsym_1.5.1-1_amd64.deb (click to toggle)
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lrwxrwxrwx root/root         0 2020-07-26 13:28 ./usr/share/doc/libtorch-test-dbgsym -> libtorch-test
control file for libtorch1_1.5.1-1_amd64.deb (click to toggle)
Package:libtorch1
Source:pytorch
Version:1.5.1-1
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:69886
Depends:libavcodec58 (>=7:4.0), libavformat58 (>=7:4.1), libavutil56 (>=7:4.0), libc6 (>=2.30), libcpuinfo0 (>=0.0~git20181113.3bf2c72), libgcc-s1 (>=4.0), libgflags2.2, libgloo0 (>=0.0~git20200408.d6a961a), libgomp1 (>=4.9), libgoogle-glog0v5, libleveldb1d, liblmdb0 (>=0.9.7), libnuma1 (>=2.0.11), libonnx1 (>=1.7.0+dfsg), libopenblas0, libopencv-calib3d4.2 (>=4.2.0+dfsg), libopencv-contrib4.2 (>=4.2.0+dfsg), libopencv-core4.2 (>=4.2.0+dfsg), libopencv-features2d4.2 (>=4.2.0+dfsg), libopencv-flann4.2 (>=4.2.0+dfsg), libopencv-highgui4.2 (>=4.2.0+dfsg), libopencv-imgcodecs4.2 (>=4.2.0+dfsg), libopencv-imgproc4.2 (>=4.2.0+dfsg), libopencv-video4.2 (>=4.2.0+dfsg), libopencv-videoio4.2 (>=4.2.0+dfsg), libopenmpi3 (>=4.0.4), libprotobuf23 (>=3.12.3), libpthreadpool0 (>=0.0~git20200423.6acde9c), libsleef3 (>=3.3), libsnappy1v5 (>=1.1.8), libstdc++6 (>=9), libswresample3 (>=7:4.0), libswscale5 (>=7:4.0), libxnnpack0 (>=0.0~git20200425.54f5917), libzmq5 (>=3.2.3+dfsg)
Section:libs
Priority:optional
Homepage:https://pytorch.org/
Description:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
 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 (Shared Objects).
lintian 2.84.0~bpo10+1 check for libtorch1_1.5.1-1_amd64.deb (click to toggle)
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control file for libtorch1-dbgsym_1.5.1-1_amd64.deb (click to toggle)
Package:libtorch1-dbgsym
Source:pytorch
Version:1.5.1-1
Auto-Built-Package:debug-symbols
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Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:172895
Depends:libtorch1 (=1.5.1-1)
Section:debug
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Description:
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Build-Ids:0f10314b8c9e67a694bcc718903484082f34e718 2eb08d85fdde4633d1d8d6f7894b05554fc6a6f1 33f58349b0b023d817421b680418555642c5fbea 800fcd823788b6fecc2b22c2ff8fb2c88b7d76c9 8f0118c4b30031ba4da9725f70239521319081e0 95c60908530dead35809575507adfe78d1a4d32c d603c73619200aaeb205ff62a06530478b5ad28d e6745c40b627a731abc215863f63c8a5e02032c4
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lrwxrwxrwx root/root         0 2020-07-26 13:28 ./usr/share/doc/libtorch1-dbgsym -> libtorch1
control file for python3-torch_1.5.1-1_amd64.deb (click to toggle)
Package:python3-torch
Source:pytorch
Version:1.5.1-1
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:25706
Depends:libc6 (>=2.30), libgcc-s1 (>=3.0), libgomp1 (>=4.2.1), libgoogle-glog0v5, libonnx1 (>=1.7.0+dfsg), libopenmpi3 (>=4.0.4), libprotobuf23 (>=3.12.3), libstdc++6 (>=9), libtorch1 (=1.5.1-1), python3 (<<3.9), python3 (>=3~), python3-future, python3-numpy (>=1:1.16.0~rc1), python3-numpy-abi9, python3-pkg-resources, python3-requests, python3-six, python3-yaml, python3:any
Suggests:python3-pytest, python3-hypothesis
Section:python
Priority:optional
Homepage:https://pytorch.org/
Description:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
 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 (Python interface).
lintian 2.84.0~bpo10+1 check for python3-torch_1.5.1-1_amd64.deb (click to toggle)
W: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/include/ATen -> usr/include/ATen
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W: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/include/c10 -> usr/include/c10
W: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/include/caffe2 -> usr/include/caffe2
W: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/include/torch -> usr/include/torch
O: python3-torch: no-manual-page usr/bin/convert-caffe2-to-onnx
O: python3-torch: no-manual-page usr/bin/convert-onnx-to-caffe2
O: python3-torch: shared-library-lacks-prerequisites usr/lib/python3/dist-packages/torch/_dl.cpython-38-x86_64-linux-gnu.so
contents of python3-torch_1.5.1-1_amd64.deb (click to toggle)
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Package:python3-torch-dbgsym
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Timestamp: 26.07.2020 / 15:11:56 (UTC)