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Bug#1050175: marked as done (Missing symbol when importing torch)

Your message dated Mon, 04 Sep 2023 18:00:20 +0000
with message-id <E1qdDs4-007jbd-Th@fasolo.debian.org>
and subject line Bug#1050175: fixed in pytorch 2.0.1+dfsg-1~exp1
has caused the Debian Bug report #1050175,
regarding Missing symbol when importing torch
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

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-- 
1050175: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1050175
Debian Bug Tracking System
Contact owner@bugs.debian.org with problems
--- Begin Message --- 
Package: python3-torch
Version: 1.13.1+dfsg-4
Severity: serious

Importing torch results in failure due to missing symbols:

$ python3
Python 3.11.4 (main, Jun  7 2023, 10:13:09) [GCC 12.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib/python3/dist-packages/torch/__init__.py", line 218, in
<module>
    from torch._C import *  # noqa: F403
    ^^^^^^^^^^^^^^^^^^^^^^
ImportError: /lib/x86_64-linux-gnu/libtorch_cpu.so.1.13: undefined
symbol: _ZN4onnx7checker11check_modelERKNS_10ModelProtoE
>>> 

pytorch requires rebuild due to updated libonnx1:

$ c++filt _ZN4onnx7checker11check_modelERKNS_10ModelProtoE
onnx::checker::check_model(onnx::ModelProto const&)

$ dpkg-query --show python3-torch libonnx1
libonnx1:amd64	1.13.1-1
python3-torch	1.13.1+dfsg-4

	Mattias

Attachment: signature.asc
Description: This is a digitally signed message part


--- End Message ---
--- Begin Message --- 
Source: pytorch
Source-Version: 2.0.1+dfsg-1~exp1
Done: Mo Zhou <lumin@debian.org>

We believe that the bug you reported is fixed in the latest version of
pytorch, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 1050175@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Mo Zhou <lumin@debian.org> (supplier of updated pytorch package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmaster@ftp-master.debian.org)


-----BEGIN PGP SIGNED MESSAGE-----
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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--- End Message ---
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