Philipp Moritz created ARROW-2920:
-------------------------------------
Summary: [Python] Segfault with pytorch 0.4
Key: ARROW-2920
URL: https://issues.apache.org/jira/browse/ARROW-2920
Project: Apache Arrow
Issue Type: Bug
Reporter: Philipp Moritz
See also [https://github.com/ray-project/ray/issues/2447]
How to reproduce:
* Start the Ubuntu Deep Learning AMI (version 12.0) on EC2
* Create a new env with {{conda create -y -n breaking-env python=3.5}}
* Install pytorch with {{source activate breaking-env && conda install pytorch
torchvision cuda91 -c pytorch}}
* Compile and install manylinux1 pyarrow wheels from latest arrow master as
described here:
https://github.com/apache/arrow/blob/2876a3fdd1fb9ef6918b7214d6e8d1e3017b42ad/python/manylinux1/README.md
* In the breaking-env just created, run the following:
{code:java}
Python 3.5.5 |Anaconda, Inc.| (default, May 13 2018, 21:12:35)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pyarrow
>>> import torch
>>> torch.nn.Conv2d(64, 2, kernel_size=3, stride=1, padding=1,
>>> bias=False).cuda()
Segmentation fault (core dumped){code}
Backtrace:
{code:java}
>>> torch.nn.Conv2d(64, 2, kernel_size=3, stride=1, padding=1,
>>> bias=False).cuda()
Program received signal SIGSEGV, Segmentation fault.
0x0000000000000000 in ?? ()
(gdb) bt
#0 0x0000000000000000 in ?? ()
#1 0x00007ffff7bc8a99 in __pthread_once_slow (once_control=0x7fffdb791e50
<at::globalContext()::globalContext_+400>, init_routine=0x7fffe46aafe1
<std::__once_proxy()>)
at pthread_once.c:116
#2 0x00007fffda95c302 in at::Type::toBackend(at::Backend) const () from
/home/ubuntu/anaconda3/envs/breaking-env2/lib/python3.5/site-packages/torch/lib/libcaffe2.so
#3 0x00007fffdc59b231 in torch::autograd::VariableType::toBackend
(this=<optimized out>, b=<optimized out>) at
torch/csrc/autograd/generated/VariableType.cpp:145
#4 0x00007fffdc8dbe8a in torch::autograd::THPVariable_cuda
(self=0x7ffff6dbff78, args=0x7ffff6daf828, kwargs=0x0) at
torch/csrc/autograd/generated/python_variable_methods.cpp:333
#5 0x000055555569f4e8 in PyCFunction_Call ()
#6 0x00005555556f67cc in PyEval_EvalFrameEx ()
#7 0x00005555556fbe08 in PyEval_EvalFrameEx ()
#8 0x00005555556f6e90 in PyEval_EvalFrameEx ()
#9 0x00005555556fbe08 in PyEval_EvalFrameEx ()
#10 0x000055555570103d in PyEval_EvalCodeEx ()
#11 0x0000555555701f5c in PyEval_EvalCode ()
#12 0x000055555575e454 in run_mod ()
#13 0x000055555562ab5e in PyRun_InteractiveOneObject ()
#14 0x000055555562ad01 in PyRun_InteractiveLoopFlags ()
#15 0x000055555562ad62 in PyRun_AnyFileExFlags.cold.2784 ()
#16 0x000055555562b080 in Py_Main.cold.2785 ()
#17 0x000055555562b871 in main (){code}
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