<ul dir="auto">
<li>PyTorch or Caffe2: PyTorch</li>
<li>OS: Ubuntu 16.04.3</li>
<li>PyTorch version: 0.3.1</li>
<li>How you installed PyTorch (conda, pip, source): pip</li>
<li>Python version: 3.6.4 (Anaconda)</li>
<li>CUDA/cuDNN version: CUDA 9.1</li>
<li>GPU models and configuration: Nvidia TITAN X</li>
</ul>
<p dir="auto">Error Message:<br>
*** Error in `python': double free or corruption (out): 0x000055fa3097d810 ***<br>
======= Backtrace: =========<br>
/lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7f9ba2dd67e5]<br>
/lib/x86_64-linux-gnu/libc.so.6(+0x8037a)[0x7f9ba2ddf37a]<br>
/lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7f9ba2de353c]<br>
/home/whq/anaconda3/lib/python3.6/site-packages/PIL/_imaging.cpython-36m-x86_64-linux-gnu.so(+0x126de)[0x7f9b9b9fa6de]<br>
python(+0xeee97)[0x55f9d0910e97]<br>
python(+0x19db7e)[0x55f9d09bfb7e]<br>
python(+0xeeb1f)[0x55f9d0910b1f]<br>
python(+0xee917)[0x55f9d0910917]<br>
python(+0x195e20)[0x55f9d09b7e20]<br>
python(_PyFunction_FastCallDict+0x1be)[0x55f9d09b8eee]<br>
python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]<br>
python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]<br>
python(PyObject_Call+0x3e)[0x55f9d0930dde]<br>
python(+0x16a901)[0x55f9d098c901]<br>
python(_PyObject_FastCallDict+0x8b)[0x55f9d09311bb]<br>
python(+0x19cd3e)[0x55f9d09bed3e]<br>
python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]<br>
python(_PyFunction_FastCallDict+0x11b)[0x55f9d09b8e4b]<br>
python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]<br>
python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]<br>
python(PyObject_Call+0x3e)[0x55f9d0930dde]<br>
python(+0x16a901)[0x55f9d098c901]<br>
python(_PyObject_FastCallDict+0x8b)[0x55f9d09311bb]<br>
python(+0x19cd3e)[0x55f9d09bed3e]<br>
python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]<br>
python(_PyFunction_FastCallDict+0x11b)[0x55f9d09b8e4b]<br>
python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]<br>
python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]<br>
python(PyObject_Call+0x3e)[0x55f9d0930dde]<br>
python(+0x16a901)[0x55f9d098c901]<br>
python(_PyObject_FastCallDict+0x8b)[0x55f9d09311bb]<br>
python(+0x19cd3e)[0x55f9d09bed3e]<br>
python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]<br>
python(+0x1967db)[0x55f9d09b87db]<br>
python(+0x19ccc5)[0x55f9d09becc5]<br>
python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]<br>
python(_PyFunction_FastCallDict+0x11b)[0x55f9d09b8e4b]<br>
python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]<br>
python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]<br>
python(PyObject_Call+0x3e)[0x55f9d0930dde]<br>
python(+0x16a379)[0x55f9d098c379]<br>
python(_PyEval_EvalFrameDefault+0x871)[0x55f9d09e3701]<br>
python(+0x195c76)[0x55f9d09b7c76]<br>
python(+0x196a11)[0x55f9d09b8a11]<br>
python(+0x19ccc5)[0x55f9d09becc5]<br>
python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]<br>
python(PyEval_EvalCodeEx+0x96e)[0x55f9d09b9b6e]<br>
python(+0x198456)[0x55f9d09ba456]<br>
python(PyObject_Call+0x3e)[0x55f9d0930dde]<br>
python(_PyEval_EvalFrameDefault+0x1b04)[0x55f9d09e4994]<br>
python(+0x1967db)[0x55f9d09b87db]<br>
python(+0x19ccc5)[0x55f9d09becc5]<br>
python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]<br>
python(+0x1967db)[0x55f9d09b87db]<br>
python(+0x19ccc5)[0x55f9d09becc5]<br>
python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]<br>
python(+0x1967db)[0x55f9d09b87db]<br>
python(+0x19ccc5)[0x55f9d09becc5]<br>
python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]<br>
python(_PyFunction_FastCallDict+0x11b)[0x55f9d09b8e4b]<br>
python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]<br>
python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]<br>
python(PyObject_Call+0x3e)[0x55f9d0930dde]<br>
======= Memory map: ========<br>
200000000-200100000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
200100000-200104000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
200104000-200120000 ---p 00000000 00:00 0<br>
200120000-200520000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
200520000-200524000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
200524000-200540000 ---p 00000000 00:00 0<br>
200540000-200940000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
200940000-200944000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
200944000-200960000 ---p 00000000 00:00 0<br>
200960000-200d60000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
200d60000-200d64000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
200d64000-200d80000 ---p 00000000 00:00 0<br>
200d80000-201180000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
201180000-201184000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
201184000-2011a0000 ---p 00000000 00:00 0<br>
2011a0000-2015a0000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
2015a0000-2015a4000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
2015a4000-2015c0000 ---p 00000000 00:00 0<br>
2015c0000-2019c0000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
2019c0000-2019c4000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
2019c4000-2019e0000 ---p 00000000 00:00 0<br>
2019e0000-201de0000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
201de0000-201de4000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
201de4000-201e00000 ---p 00000000 00:00 0<br>
201e00000-202200000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
202200000-202204000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
202204000-202220000 ---p 00000000 00:00 0<br>
202220000-202620000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
202620000-202624000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
202624000-202640000 ---p 00000000 00:00 0<br>
202640000-202a40000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
202a40000-202a44000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
202a44000-202a60000 ---p 00000000 00:00 0<br>
202a60000-202e60000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
202e60000-202e64000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
202e64000-202e80000 ---p 00000000 00:00 0<br>
202e80000-203280000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
203280000-203284000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
203284000-2032a0000 ---p 00000000 00:00 0<br>
2032a0000-2036a0000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
2036a0000-2036a4000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
2036a4000-2036c0000 ---p 00000000 00:00 0<br>
2036c0000-203ac0000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
203ac0000-203ac4000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
203ac4000-203ae0000 ---p 00000000 00:00 0<br>
203ae0000-203ee0000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
203ee0000-203ee4000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
203ee4000-203f00000 ---p 00000000 00:00 0<br>
203f00000-204300000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
204300000-204400000 rw-s 00000000 00:05 198955                           /dev/zero (deleted)<br>
204400000-204500000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
204500000-204600000 rw-s 00000000 00:05 198956                           /dev/zero (deleted)<br>
204600000-204700000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
204700000-204800000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
204800000-204900000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
204900000-2049e0000 rw-s 00000000 00:06 18484                            /dev/nvidiactl<br>
2049e0000-204ae0000 rw-s 00000000 00:05 198958                           /dev/zero (deleted)<br>
204ae0000-204be0000 rw-s 00000000 00:05 198959                           /dev/zero (deleted)<br>
204be0000-20db6e000 rw-s 00000000 00:05 198980                           /dev/zero (deleted)<br>
20db6e000-20db80000 ---p 00000000 00:00 0<br>
20db80000-216b0e000 rw-s 00000000 00:05 198986                           /dev/zero (deleted)<br>
216b0e000-216b20000 ---p 00000000 00:00 0<br>
216b20000-21faae000 rw-s 00000000 00:05 198990                           /dev/zero (deleted)<br>
21faae000-21fac0000 ---p 00000000 00:00 0<br>
21fac0000-228a4e000 rw-s 00000000 00:05 198995                           /dev/zero (deleted)<br>
228a4e000-228a60000 ---p 00000000 00:00 0<br>
228a60000-2319ee000 rw-s 00000000 00:05 197836                           /dev/zero (deleted)<br>
2319ee000-231a00000 ---p 00000000 00:00 0<br>
231a00000-23a98e000 rw-s 00000000 00:05 197841                           /dev/zero (deleted)<br>
23a98e000-23a9a0000 ---p 00000000 00:00 0<br>
23a9a0000-24392e000 rw-s 00000000 00:05 197846                           /dev/zero (deleted)<br>
24392e000-243940000 ---p 00000000 00:00 0<br>
243940000-24c8ce000 rw-s 00000000 00:05 197851                           /dev/zero (deleted)<br>
24c8ce000-24c8e0000 ---p 00000000 00:00 0<br>
24c8e0000-24c9e0000 rw-s 00000000 00:05 195979                           /dev/zero (deleted)<br>
24c9e0000-25596e000 rw-s 00000000 00:05 194484                           /dev/zero (deleted)<br>
25596e000-255980000 ---p 00000000 00:00 0<br>
255980000-25e90e000 rw-s 00000000 00:05 194489                           /dev/zero (deleted)<br>
25e90e000-25e920000 ---p 00000000 00:00 0<br>
25e920000-2678ae000 rw-s 00000000 00:05 195980                           /dev/zero (deleted)<br>
2678ae000-2678c0000 ---p 00000000 00:00 0<br>
2678c0000-27084e000 rw-s 00000000 00:05 195985                           /dev/zero (deleted)<br>
27084e000-270860000 ---p 00000000 00:00 0<br>
270860000-2797ee000 rw-s 00000000 00:05 195988                           /dev/zero (deleted)<br>
2797ee000-279800000 ---p 00000000 00:00 0<br>
279800000-28278e000 rw-s 00000000 00:05 195991                           /dev/zero (deleted)<br>
28278e000-2827a0000 ---p 00000000 00:00 0<br>
2827a0000-28b72e000 rw-s 00000000 00:05 195994                           /dev/zero (deleted)<br>
28b72e000-28b740000 ---p 00000000 00:00 0<br>
28b740000-2946ce000 rw-s 00000000 00:05 195997                           /dev/zero (deleted)<br>
2946ce000-2946e0000 ---p 00000000 00:00 0<br>
2946e0000-29d66e000 rw-s 00000000 00:05 196000                           /dev/zero (deleted)<br>
29d66e000-29d680000 ---p 00000000 00:00 0<br>
29d680000-29d780000 rw-s 00000000 00:05 195185                           /dev/zero (deleted)<br>
29d780000-29d881000 rw-s 00000000 00:05 195186                           /dev/zero (deleted)<br>
29d881000-29d8a0000 ---p 00000000 00:00 0<br>
29d8a0000-2a682e000 rw-s 00000000 00:05 196043                           /dev/zero (deleted)<br>
2a682e000-f00000000 ---p 00000000 00:00 0<br>
55f9d0822000-55f9d0ae0000 r-xp 00000000 08:07 1059440                    /home/whq/anaconda3/bin/python3.6<br>
55f9d0ce0000-55f9d0ce3000 r--p 002be000 08:07 1059440                    /home/whq/anaconda3/bin/python3.6<br>
55f9d0ce3000-55f9d0d46000 rw-p 002c1000 08:07 1059440                    /home/whq/anaconda3/bin/python3.6<br>
55f9d0d46000-55f9d0d77000 rw-p 00000000 00:00 0<br>
55f9d2c5b000-55fa31a08000 rw-p 00000000 00:00 0                          [heap]<br>
55fa31a08000-55fa387d8000 rw-p 00000000 00:00 0                          [heap]<br>
7f9b10000000-7f9b11762000 rw-p 00000000 00:00 0<br>
7f9b11762000-7f9b14000000 ---p 00000000 00:00 0<br>
7f9b18000000-7f9b18022000 rw-p 00000000 00:00 0<br>
7f9b18022000-7f9b1c000000 ---p 00000000 00:00 0<br>
7f9b1f072000-7f9b28000000 rw-s 00000000 00:16 1880823                    /dev/shm/torch_14044_2110547976 (deleted)<br>
7f9b28000000-7f9b28022000 rw-p 00000000 00:00 0<br>
7f9b28022000-7f9b2c000000 ---p 00000000 00:00 0<br>
7f9b2dcab000-7f9b30000000 rw-p 00000000 00:00 0<br>
7f9b30000000-7f9b30001000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30001000-7f9b30002000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30002000-7f9b30003000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30003000-7f9b30004000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30004000-7f9b30005000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30005000-7f9b30006000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30006000-7f9b30007000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30007000-7f9b30008000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30008000-7f9b30009000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30009000-7f9b3000a000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b3000a000-7f9b3000b000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b3000b000-7f9b3000c000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b3000c000-7f9b3000d000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b3000d000-7f9b3000e000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b3000e000-7f9b3000f000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b3000f000-7f9b30010000 rw-s 00000000 00:06 18485                      /dev/nvidia0<br>
7f9b30010000-7f9b40000000 ---p 00000000 00:00 0<br>
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7f9b4cb36000-7f9b4cbb6000 rw-p 00000000 00:00 0<br>
7f9b4cbb6000-7f9b4cc36000 rw-p 00000000 00:00 0<br>
7f9b4cc36000-7f9b4cc37000 ---p 00000000 00:00 0<br>
7f9b4cc37000-7f9b4d437000 rw-p 00000000 00:00 0<br>
7f9b4d437000-7f9b4d438000 ---p 00000000 00:00 0<br>
7f9b4d438000-7f9b4dc78000 rw-p 00000000 00:00 0<br>
7f9b4dc78000-7f9b4dc7b000 r-xp 00000000 08:07 1059112                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_multiprocessing.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4dc7b000-7f9b4de7b000 ---p 00003000 08:07 1059112                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_multiprocessing.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4de7b000-7f9b4de7c000 r--p 00003000 08:07 1059112                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_multiprocessing.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4de7c000-7f9b4de7d000 rw-p 00004000 08:07 1059112                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_multiprocessing.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4de7d000-7f9b4e67d000 rw-p 00000000 00:00 0<br>
7f9b4e67d000-7f9b4e69a000 r-xp 00000000 08:07 2755695                    /home/whq/anaconda3/lib/libyaml-0.so.2.0.5<br>
7f9b4e69a000-7f9b4e899000 ---p 0001d000 08:07 2755695                    /home/whq/anaconda3/lib/libyaml-0.so.2.0.5<br>
7f9b4e899000-7f9b4e89a000 r--p 0001c000 08:07 2755695                    /home/whq/anaconda3/lib/libyaml-0.so.2.0.5<br>
7f9b4e89a000-7f9b4e89b000 rw-p 0001d000 08:07 2755695                    /home/whq/anaconda3/lib/libyaml-0.so.2.0.5<br>
7f9b4e89b000-7f9b4e8c9000 r-xp 00000000 08:07 3018355                    /home/whq/anaconda3/lib/python3.6/site-packages/_yaml.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4e8c9000-7f9b4eac9000 ---p 0002e000 08:07 3018355                    /home/whq/anaconda3/lib/python3.6/site-packages/_yaml.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4eac9000-7f9b4eaca000 r--p 0002e000 08:07 3018355                    /home/whq/anaconda3/lib/python3.6/site-packages/_yaml.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4eaca000-7f9b4eacd000 rw-p 0002f000 08:07 3018355                    /home/whq/anaconda3/lib/python3.6/site-packages/_yaml.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4eacd000-7f9b4eb8d000 rw-p 00000000 00:00 0<br>
7f9b4eb8d000-7f9b4ec07000 r-xp 00000000 08:07 2758272                    /home/whq/anaconda3/lib/libtiff.so.5.3.0<br>
7f9b4ec07000-7f9b4ee06000 ---p 0007a000 08:07 2758272                    /home/whq/anaconda3/lib/libtiff.so.5.3.0<br>
7f9b4ee06000-7f9b4ee0a000 r--p 00079000 08:07 2758272                    /home/whq/anaconda3/lib/libtiff.so.5.3.0<br>
7f9b4ee0a000-7f9b4ee0b000 rw-p 0007d000 08:07 2758272                    /home/whq/anaconda3/lib/libtiff.so.5.3.0<br>
7f9b4ee0b000-7f9b4ef0b000 rw-p 00000000 00:00 0<br>
7f9b4ef0b000-7f9b4ef11000 r-xp 00000000 08:07 1059230                    /home/whq/anaconda3/lib/python3.6/lib-dynload/binascii.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4ef11000-7f9b4f110000 ---p 00006000 08:07 1059230                    /home/whq/anaconda3/lib/python3.6/lib-dynload/binascii.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4f110000-7f9b4f111000 r--p 00005000 08:07 1059230                    /home/whq/anaconda3/lib/python3.6/lib-dynload/binascii.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4f111000-7f9b4f112000 rw-p 00006000 08:07 1059230                    /home/whq/anaconda3/lib/python3.6/lib-dynload/binascii.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4f112000-7f9b4f17e000 r-xp 00000000 08:07 1063743                    /home/whq/anaconda3/lib/libssl.so.1.0.0<br>
7f9b4f17e000-7f9b4f37d000 ---p 0006c000 08:07 1063743                    /home/whq/anaconda3/lib/libssl.so.1.0.0<br>
7f9b4f37d000-7f9b4f382000 r--p 0006b000 08:07 1063743                    /home/whq/anaconda3/lib/libssl.so.1.0.0<br>
7f9b4f382000-7f9b4f388000 rw-p 00070000 08:07 1063743                    /home/whq/anaconda3/lib/libssl.so.1.0.0<br>
7f9b4f388000-7f9b4f3a2000 r-xp 00000000 08:07 1059396                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_ssl.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4f3a2000-7f9b4f5a2000 ---p 0001a000 08:07 1059396                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_ssl.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4f5a2000-7f9b4f5a3000 r--p 0001a000 08:07 1059396                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_ssl.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4f5a3000-7f9b4f5a8000 rw-p 0001b000 08:07 1059396                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_ssl.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4f5a8000-7f9b4f628000 rw-p 00000000 00:00 0<br>
7f9b4f628000-7f9b4f639000 r-xp 00000000 08:07 1059362                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_json.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4f639000-7f9b4f839000 ---p 00011000 08:07 1059362                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_json.cpython-36m-x86_64-linux-gnu.so<br>
7f9b4f839000-7f9b4f83a000 r--p 00011000 08:07 1059362                    /home/whq/anaconda3/lib/python3.6/lib-dynload/_json.cpython-36m-x86_64-linux-gnu.soTraceback (most recent call last):<br>
File "main.py", line 182, in <br>
main()<br>
File "main.py", line 151, in main<br>
train(model, train_loader, epoch, criterion, optimizer, logger, args, extractor)<br>
File "/home/whq/Desktop/attentions/proj16/process/train.py", line 29, in train<br>
loss = eval_loss(criterion, inputs_var, targets_var, outputs, args)<br>
File "/home/whq/Desktop/attentions/proj16/process/eval_loss.py", line 9, in eval_loss<br>
if outputs_temporal.size(0) == criterion[2].size(0) <br>
File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in <strong>call</strong><br>
result = self.forward(*input, **kwargs)<br>
File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/nn/modules/loss.py", line 84, in forward<br>
reduce=self.reduce)<br>
File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py", line 1270, in l1_loss<br>
input, target, size_average, reduce)<br>
File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py", line 1248, in _pointwise_loss<br>
return lambd_optimized(input, target, size_average, reduce)<br>
File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 175, in handler<br>
_error_if_any_worker_fails()<br>
RuntimeError: DataLoader worker (pid 14044) is killed by signal: Aborted.</p>
<ul dir="auto">
<li>OS: Xubuntu 16.04 4.13.0-32-generic</li>
<li>PyTorch version: 0.3.0.post4</li>
<li>How you installed PyTorch (conda, pip, source): pip</li>
<li>Python version: Python 3.5.2</li>
<li>CUDA/cuDNN version: running on CPU</li>
</ul>
<p dir="auto">To reproduce, clone <a href="https://github.com/jatentaki/torch_bug">this</a> repo and execute <code class="notranslate">python3 run_cnn.py</code>. On my machine it results in the following <a href="https://gist.github.com/jatentaki/99f3cae3a79d63e61fd668f526f0fbd5">stack trace</a>.</p>
<p dir="auto">I believe the script is self-explanatory, I was trying to maxpool a 3d convolved tensor :)</p>