Your message dated Tue, 26 Nov 2024 08:38:59 +0000
with message-id <e1tfr63-005nin...@fasolo.debian.org>
and subject line Bug#1073547: fixed in pytorch-geometric 2.6.1-1
has caused the Debian Bug report #1073547,
regarding pytorch-geometric: tests fail with scipy 1.13
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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--
1073547: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1073547
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Source: pytorch-geometric
Version: 2.4.0-2
Severity: important
Control: affects -1 src:scipy
pytorch-geometric is failing tests with scipy 1.13 from experimental,
evidently due to use of a deprecated API.
The error message is
187s test/distributed/test_rpc.py On WorkerInfo(id=0, name=dist-feature-test-0):
187s AttributeError("'NoneType' object has no attribute 'rpc_async'")
187s Traceback (most recent call last):
187s File "/usr/lib/python3/dist-packages/torch/distributed/rpc/internal.py",
line 207, in _run_function
187s result = python_udf.func(*python_udf.args, **python_udf.kwargs)
187s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
187s File
"/usr/lib/python3/dist-packages/torch_geometric/distributed/rpc.py", line 168,
in _rpc_async_call
187s return _rpc_call_pool.get(call_id).rpc_async(*args, **kwargs)
187s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
187s AttributeError: 'NoneType' object has no attribute 'rpc_async'
187s
188s Process SpawnProcess-6:
188s Traceback (most recent call last):
188s File "/usr/lib/python3.11/multiprocessing/process.py", line 314, in
_bootstrap
188s self.run()
188s File "/usr/lib/python3.11/multiprocessing/process.py", line 108, in run
188s self._target(*self._args, **self._kwargs)
188s File
"/tmp/autopkgtest-lxc.glzbfzld/downtmp/autopkgtest_tmp/build/test/distributed/test_rpc.py",
line 79, in run_rpc_feature_test
188s assert torch.allclose(cpu_tensor0, tensor0.wait())
188s ^^^^^^^^^^^^^^
188s File "/usr/lib/python3/dist-packages/torch/futures/__init__.py", line
76, in wait
188s return super().wait()
188s ^^^^^^^^^^^^^^
188s File "/usr/lib/python3/dist-packages/torch/futures/__init__.py", line
268, in raise_error
188s raise fut_result
188s File
"/usr/lib/python3/dist-packages/torch_geometric/distributed/local_feature_store.py",
line 164, in when_finish
188s remote_feature_list = remote_fut.wait()
188s ^^^^^^^^^^^^^^^^^
188s File "/usr/lib/python3/dist-packages/torch/futures/__init__.py", line
76, in wait
188s return super().wait()
188s ^^^^^^^^^^^^^^
188s File "/usr/lib/python3/dist-packages/torch/futures/__init__.py", line
268, in raise_error
188s raise fut_result
188s File
"/usr/lib/python3/dist-packages/torch_geometric/distributed/local_feature_store.py",
line 256, in when_finish
188s fut_list = collect_fut.wait()
188s ^^^^^^^^^^^^^^^^^^
188s RuntimeError: AttributeError: On WorkerInfo(id=0,
name=dist-feature-test-0):
188s AttributeError("'NoneType' object has no attribute 'rpc_async'")
188s Traceback (most recent call last):
188s File "/usr/lib/python3/dist-packages/torch/distributed/rpc/internal.py",
line 207, in _run_function
188s result = python_udf.func(*python_udf.args, **python_udf.kwargs)
188s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
188s File
"/usr/lib/python3/dist-packages/torch_geometric/distributed/rpc.py", line 168,
in _rpc_async_call
188s return _rpc_call_pool.get(call_id).rpc_async(*args, **kwargs)
188s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
188s AttributeError: 'NoneType' object has no attribute 'rpc_async'
188s
188s
188s At:
188s /usr/lib/python3/dist-packages/torch/distributed/rpc/internal.py(234):
_handle_exception
Full log at
https://ci.debian.net/packages/p/pytorch-geometric/unstable/amd64/47741275/
scipy 1.12 has only recently been uploaded to debian, but upstream is
already preparing 1.14, so we can expect to upload 1.13 in the near
future.
--- End Message ---
--- Begin Message ---
Source: pytorch-geometric
Source-Version: 2.6.1-1
Done: Andrius Merkys <mer...@debian.org>
We believe that the bug you reported is fixed in the latest version of
pytorch-geometric, 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 1073...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Andrius Merkys <mer...@debian.org> (supplier of updated pytorch-geometric
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 ftpmas...@ftp-master.debian.org)
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512
Format: 1.8
Date: Tue, 26 Nov 2024 02:41:07 -0500
Source: pytorch-geometric
Architecture: source
Version: 2.6.1-1
Distribution: unstable
Urgency: medium
Maintainer: Debian Deep Learning Team
<debian-science-maintain...@lists.alioth.debian.org>
Changed-By: Andrius Merkys <mer...@debian.org>
Closes: 1073547
Changes:
pytorch-geometric (2.6.1-1) unstable; urgency=medium
.
* New upstream version 2.6.1 (Closes: #1073547)
* Tests depend on libtorch-dev.
* Skip more tests needing GPU.
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