[
https://issues.apache.org/jira/browse/ARROW-5130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17662152#comment-17662152
]
Rok Mihevc commented on ARROW-5130:
-----------------------------------
This issue has been migrated to [issue
#21614|https://github.com/apache/arrow/issues/21614] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [Python] Segfault when importing TensorFlow after Pyarrow
> ---------------------------------------------------------
>
> Key: ARROW-5130
> URL: https://issues.apache.org/jira/browse/ARROW-5130
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
> Affects Versions: 0.13.0
> Reporter: Travis Addair
> Assignee: Alexander Sergeev
> Priority: Major
> Fix For: 0.14.0
>
>
> This issue is similar to https://jira.apache.org/jira/browse/ARROW-2657 which
> was fixed in v0.10.0.
> When we import TensorFlow after Pyarrow in Linux Debian Jessie, we get a
> segfault. To reproduce:
> {code:java}
> import pyarrow
> import tensorflow{code}
> Here's the backtrace from gdb:
> {code:java}
> Program terminated with signal SIGSEGV, Segmentation fault.
> #0 0x0000000000000000 in ?? ()
> (gdb) bt
> #0 0x0000000000000000 in ?? ()
> #1 0x00007f529ee04410 in pthread_once () at
> ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_once.S:103
> #2 0x00007f5229a74efa in void std::call_once<void (&)()>(std::once_flag&,
> void (&)()) () from
> /usr/local/lib/python2.7/dist-packages/tensorflow/python/../libtensorflow_framework.so
> #3 0x00007f5229a74f3e in
> tensorflow::port::TestCPUFeature(tensorflow::port::CPUFeature) () from
> /usr/local/lib/python2.7/dist-packages/tensorflow/python/../libtensorflow_framework.so
> #4 0x00007f522978b561 in tensorflow::port::(anonymous
> namespace)::CheckFeatureOrDie(tensorflow::port::CPUFeature, std::string
> const&) ()
> from
> /usr/local/lib/python2.7/dist-packages/tensorflow/python/../libtensorflow_framework.so
> #5 0x00007f522978b5b4 in _GLOBAL__sub_I_cpu_feature_guard.cc () from
> /usr/local/lib/python2.7/dist-packages/tensorflow/python/../libtensorflow_framework.so
> #6 0x00007f529f224bea in call_init (l=<optimized out>, argc=argc@entry=9,
> argv=argv@entry=0x7ffc6d8c1488, env=env@entry=0x294c0c0) at dl-init.c:78
> #7 0x00007f529f224cd3 in call_init (env=0x294c0c0, argv=0x7ffc6d8c1488,
> argc=9, l=<optimized out>) at dl-init.c:36
> #8 _dl_init (main_map=main_map@entry=0x2e4aff0, argc=9, argv=0x7ffc6d8c1488,
> env=0x294c0c0) at dl-init.c:126
> #9 0x00007f529f228e38 in dl_open_worker (a=a@entry=0x7ffc6d8bebb8) at
> dl-open.c:577
> #10 0x00007f529f224aa4 in _dl_catch_error
> (objname=objname@entry=0x7ffc6d8beba8,
> errstring=errstring@entry=0x7ffc6d8bebb0,
> mallocedp=mallocedp@entry=0x7ffc6d8beba7,
> operate=operate@entry=0x7f529f228b60 <dl_open_worker>,
> args=args@entry=0x7ffc6d8bebb8) at dl-error.c:187
> #11 0x00007f529f22862b in _dl_open (file=0x7f5248178b54
> "/usr/local/lib/python2.7/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so",
> mode=-2147483646, caller_dlopen=<optimized out>,
> nsid=-2, argc=9, argv=0x7ffc6d8c1488, env=0x294c0c0) at dl-open.c:661
> #12 0x00007f529ebf402b in dlopen_doit (a=a@entry=0x7ffc6d8bedd0) at
> dlopen.c:66
> #13 0x00007f529f224aa4 in _dl_catch_error (objname=0x2950fc0,
> errstring=0x2950fc8, mallocedp=0x2950fb8, operate=0x7f529ebf3fd0
> <dlopen_doit>, args=0x7ffc6d8bedd0) at dl-error.c:187
> #14 0x00007f529ebf45dd in _dlerror_run (operate=operate@entry=0x7f529ebf3fd0
> <dlopen_doit>, args=args@entry=0x7ffc6d8bedd0) at dlerror.c:163
> #15 0x00007f529ebf40c1 in __dlopen (file=<optimized out>, mode=<optimized
> out>) at dlopen.c:87
> #16 0x0000000000540859 in _PyImport_GetDynLoadFunc ()
> #17 0x000000000054024c in _PyImport_LoadDynamicModule ()
> #18 0x00000000005f2bcb in ?? ()
> #19 0x00000000004ca235 in PyEval_EvalFrameEx ()
> #20 0x00000000004ca9c2 in PyEval_EvalFrameEx ()
> #21 0x00000000004c8c39 in PyEval_EvalCodeEx ()
> #22 0x00000000004c84e6 in PyEval_EvalCode ()
> #23 0x00000000004c6e5c in PyImport_ExecCodeModuleEx ()
> #24 0x00000000004c3272 in ?? ()
> #25 0x00000000004b19e2 in ?? ()
> #26 0x00000000004b13d7 in ?? ()
> #27 0x00000000004b42f6 in ?? ()
> #28 0x00000000004d1aab in PyEval_CallObjectWithKeywords ()
> #29 0x00000000004ccdb3 in PyEval_EvalFrameEx ()
> #30 0x00000000004c8c39 in PyEval_EvalCodeEx ()
> #31 0x00000000004c84e6 in PyEval_EvalCode ()
> #32 0x00000000004c6e5c in PyImport_ExecCodeModuleEx ()
> #33 0x00000000004c3272 in ?? ()
> #34 0x00000000004b1d3f in ?? ()
> #35 0x00000000004b6b2b in ?? ()
> #36 0x00000000004b0d82 in ?? ()
> #37 0x00000000004b42f6 in ?? ()
> #38 0x00000000004d1aab in PyEval_CallObjectWithKeywords ()
> #39 0x00000000004ccdb3 in PyEval_EvalFrameEx (){code}
> It looks like the code changes that fixed the previous issue was recently
> removed in
> [https://github.com/apache/arrow/commit/b766bff34b7d85034d26cebef5b3aeef1eb2fd82#diff-16806bcebc1df2fae432db426905b9f0].
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
