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Accepted pytorch 2.0.1+dfsg-1~exp1 (source amd64) into experimental

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Hash: SHA512

Format: 1.8
Date: Sat, 02 Sep 2023 12:43:53 -0400
Source: pytorch
Binary: libtorch-dev libtorch-test libtorch-test-dbgsym libtorch2.0 libtorch2.0-dbgsym python3-torch python3-torch-dbgsym
Architecture: source amd64
Version: 2.0.1+dfsg-1~exp1
Distribution: experimental
Urgency: medium
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Changed-By: Mo Zhou <lumin@debian.org>
Description:
 libtorch-dev - Tensors and Dynamic neural networks in Python (Development Files)
 libtorch-test - Tensors and Dynamic neural networks in Python (Test Binaries)
 libtorch2.0 - Tensors and Dynamic neural networks in Python (Shared Objects)
 python3-torch - Tensors and Dynamic neural networks in Python (Python Interface)
Closes: 1024903 1037824 1050175
Changes:
 pytorch (2.0.1+dfsg-1~exp1) experimental; urgency=medium
 .
   * New upstream version 2.0.1+dfsg
     (Closes: #1024903, #1037824, #1050175)
   * README.Source: update dependency tracking list
   * Copyright:
     - Exclude third party embedded copy from upstream source.
     + Go through all source files again and update the d/copyright,
       as the upstream made massive code base change in the 2.0 release.
     * Files-Excluded: Do not remove valgrind-headers.
       These files will be included at the next gbp-import-orig.
   * Packages:
     * Bump SOVERSION from 1.13 to 2.0.
   * Patch work updates:
     * Rebase existing patches, and remove unused ones.
     + Add patch to fix ftbfs with GCC-13.
   * Build modifications:
     + Specify -Wno-dangling-reference compiler flag.
     + rules: Disable valgrind for build.
     * Patch setup.py to skip installing valgrind headers.
     * rules: Export PYTORCH_BUILD_VERSION.
     * rules: No longer install the dangling include/TH symlink.
   * Embedded source copies:
     * Upgrade embedded kineto to new snapshot.
       + Patch embedded kineto to use system lib.
       + Patch the embedded kineto to fix GCC-13 ftbfs.
       - delete some unneeded files from embedded kineto.
       - remove th_plugin directory from libkineto.
     * Import dynolog partial snapshot for libkineto third_party.
     * Upgrade embedded expecttest to 0.1.6.
       (76f4af2667186271162e03817f2bbda782ec773d)
     * Upgrade embedded foxi to c278588e34e535f0bb8f00df3880d26928038cad.
   * Autopkgtest updates:
     * Autopkgtest: make the embedded expecttest module available.
     * Autopkgtest: correctly import embedded expecttest.
     * Autopkgtest: add the missing python3-scipy runtime deps.
     * Autopkgtest: add test cases to detect dangling symlinks
     * Autopkgtest: refresh test list using gencontrol.sh
     * Autopkgtest: add all python tests into permissive list.
   * Upload to experimental.
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