Issue 1:
PyTorch or Caffe2: PyTorch

OS: Ubuntu 16.04.3

PyTorch version: 0.3.1

How you installed PyTorch (conda, pip, source): pip

Python version: 3.6.4 (Anaconda)

CUDA/cuDNN version: CUDA 9.1

GPU models and configuration: Nvidia TITAN X

Error Message:

*** Error in `python': double free or corruption (out): 0x000055fa3097d810 ***

======= Backtrace: =========

/lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7f9ba2dd67e5]

/lib/x86_64-linux-gnu/libc.so.6(+0x8037a)[0x7f9ba2ddf37a]

/lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7f9ba2de353c]

/home/whq/anaconda3/lib/python3.6/site-packages/PIL/_imaging.cpython-36m-x86_64-linux-gnu.so(+0x126de)[0x7f9b9b9fa6de]

python(+0xeee97)[0x55f9d0910e97]

python(+0x19db7e)[0x55f9d09bfb7e]

python(+0xeeb1f)[0x55f9d0910b1f]

python(+0xee917)[0x55f9d0910917]

python(+0x195e20)[0x55f9d09b7e20]

python(_PyFunction_FastCallDict+0x1be)[0x55f9d09b8eee]

python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]

python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]

python(PyObject_Call+0x3e)[0x55f9d0930dde]

python(+0x16a901)[0x55f9d098c901]

python(_PyObject_FastCallDict+0x8b)[0x55f9d09311bb]

python(+0x19cd3e)[0x55f9d09bed3e]

python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]

python(_PyFunction_FastCallDict+0x11b)[0x55f9d09b8e4b]

python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]

python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]

python(PyObject_Call+0x3e)[0x55f9d0930dde]

python(+0x16a901)[0x55f9d098c901]

python(_PyObject_FastCallDict+0x8b)[0x55f9d09311bb]

python(+0x19cd3e)[0x55f9d09bed3e]

python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]

python(_PyFunction_FastCallDict+0x11b)[0x55f9d09b8e4b]

python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]

python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]

python(PyObject_Call+0x3e)[0x55f9d0930dde]

python(+0x16a901)[0x55f9d098c901]

python(_PyObject_FastCallDict+0x8b)[0x55f9d09311bb]

python(+0x19cd3e)[0x55f9d09bed3e]

python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]

python(+0x1967db)[0x55f9d09b87db]

python(+0x19ccc5)[0x55f9d09becc5]

python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]

python(_PyFunction_FastCallDict+0x11b)[0x55f9d09b8e4b]

python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]

python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]

python(PyObject_Call+0x3e)[0x55f9d0930dde]

python(+0x16a379)[0x55f9d098c379]

python(_PyEval_EvalFrameDefault+0x871)[0x55f9d09e3701]

python(+0x195c76)[0x55f9d09b7c76]

python(+0x196a11)[0x55f9d09b8a11]

python(+0x19ccc5)[0x55f9d09becc5]

python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]

python(PyEval_EvalCodeEx+0x96e)[0x55f9d09b9b6e]

python(+0x198456)[0x55f9d09ba456]

python(PyObject_Call+0x3e)[0x55f9d0930dde]

python(_PyEval_EvalFrameDefault+0x1b04)[0x55f9d09e4994]

python(+0x1967db)[0x55f9d09b87db]

python(+0x19ccc5)[0x55f9d09becc5]

python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]

python(+0x1967db)[0x55f9d09b87db]

python(+0x19ccc5)[0x55f9d09becc5]

python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]

python(+0x1967db)[0x55f9d09b87db]

python(+0x19ccc5)[0x55f9d09becc5]

python(_PyEval_EvalFrameDefault+0x30a)[0x55f9d09e319a]

python(_PyFunction_FastCallDict+0x11b)[0x55f9d09b8e4b]

python(_PyObject_FastCallDict+0x26f)[0x55f9d093139f]

python(_PyObject_Call_Prepend+0x63)[0x55f9d0935ff3]

python(PyObject_Call+0x3e)[0x55f9d0930dde]

======= Memory map: ========

200000000-200100000 rw-s 00000000 00:06 18484 /dev/nvidiactl

200100000-200104000 rw-s 00000000 00:06 18484 /dev/nvidiactl

200104000-200120000 ---p 00000000 00:00 0

200120000-200520000 rw-s 00000000 00:06 18484 /dev/nvidiactl

200520000-200524000 rw-s 00000000 00:06 18484 /dev/nvidiactl

200524000-200540000 ---p 00000000 00:00 0

200540000-200940000 rw-s 00000000 00:06 18484 /dev/nvidiactl

200940000-200944000 rw-s 00000000 00:06 18484 /dev/nvidiactl

200944000-200960000 ---p 00000000 00:00 0

200960000-200d60000 rw-s 00000000 00:06 18484 /dev/nvidiactl

200d60000-200d64000 rw-s 00000000 00:06 18484 /dev/nvidiactl

200d64000-200d80000 ---p 00000000 00:00 0

200d80000-201180000 rw-s 00000000 00:06 18484 /dev/nvidiactl

201180000-201184000 rw-s 00000000 00:06 18484 /dev/nvidiactl

201184000-2011a0000 ---p 00000000 00:00 0

2011a0000-2015a0000 rw-s 00000000 00:06 18484 /dev/nvidiactl

2015a0000-2015a4000 rw-s 00000000 00:06 18484 /dev/nvidiactl

2015a4000-2015c0000 ---p 00000000 00:00 0

2015c0000-2019c0000 rw-s 00000000 00:06 18484 /dev/nvidiactl

2019c0000-2019c4000 rw-s 00000000 00:06 18484 /dev/nvidiactl

2019c4000-2019e0000 ---p 00000000 00:00 0

2019e0000-201de0000 rw-s 00000000 00:06 18484 /dev/nvidiactl

201de0000-201de4000 rw-s 00000000 00:06 18484 /dev/nvidiactl

201de4000-201e00000 ---p 00000000 00:00 0

201e00000-202200000 rw-s 00000000 00:06 18484 /dev/nvidiactl

202200000-202204000 rw-s 00000000 00:06 18484 /dev/nvidiactl

202204000-202220000 ---p 00000000 00:00 0

202220000-202620000 rw-s 00000000 00:06 18484 /dev/nvidiactl

202620000-202624000 rw-s 00000000 00:06 18484 /dev/nvidiactl

202624000-202640000 ---p 00000000 00:00 0

202640000-202a40000 rw-s 00000000 00:06 18484 /dev/nvidiactl

202a40000-202a44000 rw-s 00000000 00:06 18484 /dev/nvidiactl

202a44000-202a60000 ---p 00000000 00:00 0

202a60000-202e60000 rw-s 00000000 00:06 18484 /dev/nvidiactl

202e60000-202e64000 rw-s 00000000 00:06 18484 /dev/nvidiactl

202e64000-202e80000 ---p 00000000 00:00 0

202e80000-203280000 rw-s 00000000 00:06 18484 /dev/nvidiactl

203280000-203284000 rw-s 00000000 00:06 18484 /dev/nvidiactl

203284000-2032a0000 ---p 00000000 00:00 0

2032a0000-2036a0000 rw-s 00000000 00:06 18484 /dev/nvidiactl

2036a0000-2036a4000 rw-s 00000000 00:06 18484 /dev/nvidiactl

2036a4000-2036c0000 ---p 00000000 00:00 0

2036c0000-203ac0000 rw-s 00000000 00:06 18484 /dev/nvidiactl

203ac0000-203ac4000 rw-s 00000000 00:06 18484 /dev/nvidiactl

203ac4000-203ae0000 ---p 00000000 00:00 0

203ae0000-203ee0000 rw-s 00000000 00:06 18484 /dev/nvidiactl

203ee0000-203ee4000 rw-s 00000000 00:06 18484 /dev/nvidiactl

203ee4000-203f00000 ---p 00000000 00:00 0

203f00000-204300000 rw-s 00000000 00:06 18484 /dev/nvidiactl

204300000-204400000 rw-s 00000000 00:05 198955 /dev/zero (deleted)

204400000-204500000 rw-s 00000000 00:06 18484 /dev/nvidiactl

204500000-204600000 rw-s 00000000 00:05 198956 /dev/zero (deleted)

204600000-204700000 rw-s 00000000 00:06 18484 /dev/nvidiactl

204700000-204800000 rw-s 00000000 00:06 18484 /dev/nvidiactl

204800000-204900000 rw-s 00000000 00:06 18484 /dev/nvidiactl

204900000-2049e0000 rw-s 00000000 00:06 18484 /dev/nvidiactl

2049e0000-204ae0000 rw-s 00000000 00:05 198958 /dev/zero (deleted)

204ae0000-204be0000 rw-s 00000000 00:05 198959 /dev/zero (deleted)

204be0000-20db6e000 rw-s 00000000 00:05 198980 /dev/zero (deleted)

20db6e000-20db80000 ---p 00000000 00:00 0

20db80000-216b0e000 rw-s 00000000 00:05 198986 /dev/zero (deleted)

216b0e000-216b20000 ---p 00000000 00:00 0

216b20000-21faae000 rw-s 00000000 00:05 198990 /dev/zero (deleted)

21faae000-21fac0000 ---p 00000000 00:00 0

21fac0000-228a4e000 rw-s 00000000 00:05 198995 /dev/zero (deleted)

228a4e000-228a60000 ---p 00000000 00:00 0

228a60000-2319ee000 rw-s 00000000 00:05 197836 /dev/zero (deleted)

2319ee000-231a00000 ---p 00000000 00:00 0

231a00000-23a98e000 rw-s 00000000 00:05 197841 /dev/zero (deleted)

23a98e000-23a9a0000 ---p 00000000 00:00 0

23a9a0000-24392e000 rw-s 00000000 00:05 197846 /dev/zero (deleted)

24392e000-243940000 ---p 00000000 00:00 0

243940000-24c8ce000 rw-s 00000000 00:05 197851 /dev/zero (deleted)

24c8ce000-24c8e0000 ---p 00000000 00:00 0

24c8e0000-24c9e0000 rw-s 00000000 00:05 195979 /dev/zero (deleted)

24c9e0000-25596e000 rw-s 00000000 00:05 194484 /dev/zero (deleted)

25596e000-255980000 ---p 00000000 00:00 0

255980000-25e90e000 rw-s 00000000 00:05 194489 /dev/zero (deleted)

25e90e000-25e920000 ---p 00000000 00:00 0

25e920000-2678ae000 rw-s 00000000 00:05 195980 /dev/zero (deleted)

2678ae000-2678c0000 ---p 00000000 00:00 0

2678c0000-27084e000 rw-s 00000000 00:05 195985 /dev/zero (deleted)

27084e000-270860000 ---p 00000000 00:00 0

270860000-2797ee000 rw-s 00000000 00:05 195988 /dev/zero (deleted)

2797ee000-279800000 ---p 00000000 00:00 0

279800000-28278e000 rw-s 00000000 00:05 195991 /dev/zero (deleted)

28278e000-2827a0000 ---p 00000000 00:00 0

2827a0000-28b72e000 rw-s 00000000 00:05 195994 /dev/zero (deleted)

28b72e000-28b740000 ---p 00000000 00:00 0

28b740000-2946ce000 rw-s 00000000 00:05 195997 /dev/zero (deleted)

2946ce000-2946e0000 ---p 00000000 00:00 0

2946e0000-29d66e000 rw-s 00000000 00:05 196000 /dev/zero (deleted)

29d66e000-29d680000 ---p 00000000 00:00 0

29d680000-29d780000 rw-s 00000000 00:05 195185 /dev/zero (deleted)

29d780000-29d881000 rw-s 00000000 00:05 195186 /dev/zero (deleted)

29d881000-29d8a0000 ---p 00000000 00:00 0

29d8a0000-2a682e000 rw-s 00000000 00:05 196043 /dev/zero (deleted)

2a682e000-f00000000 ---p 00000000 00:00 0

55f9d0822000-55f9d0ae0000 r-xp 00000000 08:07 1059440 /home/whq/anaconda3/bin/python3.6

55f9d0ce0000-55f9d0ce3000 r--p 002be000 08:07 1059440 /home/whq/anaconda3/bin/python3.6

55f9d0ce3000-55f9d0d46000 rw-p 002c1000 08:07 1059440 /home/whq/anaconda3/bin/python3.6

55f9d0d46000-55f9d0d77000 rw-p 00000000 00:00 0

55f9d2c5b000-55fa31a08000 rw-p 00000000 00:00 0 [heap]

55fa31a08000-55fa387d8000 rw-p 00000000 00:00 0 [heap]

7f9b10000000-7f9b11762000 rw-p 00000000 00:00 0

7f9b11762000-7f9b14000000 ---p 00000000 00:00 0

7f9b18000000-7f9b18022000 rw-p 00000000 00:00 0

7f9b18022000-7f9b1c000000 ---p 00000000 00:00 0

7f9b1f072000-7f9b28000000 rw-s 00000000 00:16 1880823 /dev/shm/torch_14044_2110547976 (deleted)

7f9b28000000-7f9b28022000 rw-p 00000000 00:00 0

7f9b28022000-7f9b2c000000 ---p 00000000 00:00 0

7f9b2dcab000-7f9b30000000 rw-p 00000000 00:00 0

7f9b30000000-7f9b30001000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30001000-7f9b30002000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30002000-7f9b30003000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30003000-7f9b30004000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30004000-7f9b30005000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30005000-7f9b30006000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30006000-7f9b30007000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30007000-7f9b30008000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30008000-7f9b30009000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30009000-7f9b3000a000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b3000a000-7f9b3000b000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b3000b000-7f9b3000c000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b3000c000-7f9b3000d000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b3000d000-7f9b3000e000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b3000e000-7f9b3000f000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b3000f000-7f9b30010000 rw-s 00000000 00:06 18485 /dev/nvidia0

7f9b30010000-7f9b40000000 ---p 00000000 00:00 0

7f9b40000000-7f9b40021000 rw-p 00000000 00:00 0

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7f9b45d6a000-7f9b4661e000 rw-p 00000000 00:00 0

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7f9b466d2000-7f9b47769000 rw-p 00000000 00:00 0

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7f9b47800000-7f9b48000000 rw-p 00000000 00:00 0

7f9b48000000-7f9b48021000 rw-p 00000000 00:00 0

7f9b48021000-7f9b4c000000 ---p 00000000 00:00 0

7f9b4c162000-7f9b4c163000 ---p 00000000 00:00 0

7f9b4c163000-7f9b4c9a3000 rw-p 00000000 00:00 0

7f9b4cb36000-7f9b4cbb6000 rw-p 00000000 00:00 0

7f9b4cbb6000-7f9b4cc36000 rw-p 00000000 00:00 0

7f9b4cc36000-7f9b4cc37000 ---p 00000000 00:00 0

7f9b4cc37000-7f9b4d437000 rw-p 00000000 00:00 0

7f9b4d437000-7f9b4d438000 ---p 00000000 00:00 0

7f9b4d438000-7f9b4dc78000 rw-p 00000000 00:00 0

7f9b4dc78000-7f9b4dc7b000 r-xp 00000000 08:07 1059112 /home/whq/anaconda3/lib/python3.6/lib-dynload/_multiprocessing.cpython-36m-x86_64-linux-gnu.so

7f9b4dc7b000-7f9b4de7b000 ---p 00003000 08:07 1059112 /home/whq/anaconda3/lib/python3.6/lib-dynload/_multiprocessing.cpython-36m-x86_64-linux-gnu.so

7f9b4de7b000-7f9b4de7c000 r--p 00003000 08:07 1059112 /home/whq/anaconda3/lib/python3.6/lib-dynload/_multiprocessing.cpython-36m-x86_64-linux-gnu.so

7f9b4de7c000-7f9b4de7d000 rw-p 00004000 08:07 1059112 /home/whq/anaconda3/lib/python3.6/lib-dynload/_multiprocessing.cpython-36m-x86_64-linux-gnu.so

7f9b4de7d000-7f9b4e67d000 rw-p 00000000 00:00 0

7f9b4e67d000-7f9b4e69a000 r-xp 00000000 08:07 2755695 /home/whq/anaconda3/lib/libyaml-0.so.2.0.5

7f9b4e69a000-7f9b4e899000 ---p 0001d000 08:07 2755695 /home/whq/anaconda3/lib/libyaml-0.so.2.0.5

7f9b4e899000-7f9b4e89a000 r--p 0001c000 08:07 2755695 /home/whq/anaconda3/lib/libyaml-0.so.2.0.5

7f9b4e89a000-7f9b4e89b000 rw-p 0001d000 08:07 2755695 /home/whq/anaconda3/lib/libyaml-0.so.2.0.5

7f9b4e89b000-7f9b4e8c9000 r-xp 00000000 08:07 3018355 /home/whq/anaconda3/lib/python3.6/site-packages/_yaml.cpython-36m-x86_64-linux-gnu.so

7f9b4e8c9000-7f9b4eac9000 ---p 0002e000 08:07 3018355 /home/whq/anaconda3/lib/python3.6/site-packages/_yaml.cpython-36m-x86_64-linux-gnu.so

7f9b4eac9000-7f9b4eaca000 r--p 0002e000 08:07 3018355 /home/whq/anaconda3/lib/python3.6/site-packages/_yaml.cpython-36m-x86_64-linux-gnu.so

7f9b4eaca000-7f9b4eacd000 rw-p 0002f000 08:07 3018355 /home/whq/anaconda3/lib/python3.6/site-packages/_yaml.cpython-36m-x86_64-linux-gnu.so

7f9b4eacd000-7f9b4eb8d000 rw-p 00000000 00:00 0

7f9b4eb8d000-7f9b4ec07000 r-xp 00000000 08:07 2758272 /home/whq/anaconda3/lib/libtiff.so.5.3.0

7f9b4ec07000-7f9b4ee06000 ---p 0007a000 08:07 2758272 /home/whq/anaconda3/lib/libtiff.so.5.3.0

7f9b4ee06000-7f9b4ee0a000 r--p 00079000 08:07 2758272 /home/whq/anaconda3/lib/libtiff.so.5.3.0

7f9b4ee0a000-7f9b4ee0b000 rw-p 0007d000 08:07 2758272 /home/whq/anaconda3/lib/libtiff.so.5.3.0

7f9b4ee0b000-7f9b4ef0b000 rw-p 00000000 00:00 0

7f9b4ef0b000-7f9b4ef11000 r-xp 00000000 08:07 1059230 /home/whq/anaconda3/lib/python3.6/lib-dynload/binascii.cpython-36m-x86_64-linux-gnu.so

7f9b4ef11000-7f9b4f110000 ---p 00006000 08:07 1059230 /home/whq/anaconda3/lib/python3.6/lib-dynload/binascii.cpython-36m-x86_64-linux-gnu.so

7f9b4f110000-7f9b4f111000 r--p 00005000 08:07 1059230 /home/whq/anaconda3/lib/python3.6/lib-dynload/binascii.cpython-36m-x86_64-linux-gnu.so

7f9b4f111000-7f9b4f112000 rw-p 00006000 08:07 1059230 /home/whq/anaconda3/lib/python3.6/lib-dynload/binascii.cpython-36m-x86_64-linux-gnu.so

7f9b4f112000-7f9b4f17e000 r-xp 00000000 08:07 1063743 /home/whq/anaconda3/lib/libssl.so.1.0.0

7f9b4f17e000-7f9b4f37d000 ---p 0006c000 08:07 1063743 /home/whq/anaconda3/lib/libssl.so.1.0.0

7f9b4f37d000-7f9b4f382000 r--p 0006b000 08:07 1063743 /home/whq/anaconda3/lib/libssl.so.1.0.0

7f9b4f382000-7f9b4f388000 rw-p 00070000 08:07 1063743 /home/whq/anaconda3/lib/libssl.so.1.0.0

7f9b4f388000-7f9b4f3a2000 r-xp 00000000 08:07 1059396 /home/whq/anaconda3/lib/python3.6/lib-dynload/_ssl.cpython-36m-x86_64-linux-gnu.so

7f9b4f3a2000-7f9b4f5a2000 ---p 0001a000 08:07 1059396 /home/whq/anaconda3/lib/python3.6/lib-dynload/_ssl.cpython-36m-x86_64-linux-gnu.so

7f9b4f5a2000-7f9b4f5a3000 r--p 0001a000 08:07 1059396 /home/whq/anaconda3/lib/python3.6/lib-dynload/_ssl.cpython-36m-x86_64-linux-gnu.so

7f9b4f5a3000-7f9b4f5a8000 rw-p 0001b000 08:07 1059396 /home/whq/anaconda3/lib/python3.6/lib-dynload/_ssl.cpython-36m-x86_64-linux-gnu.so

7f9b4f5a8000-7f9b4f628000 rw-p 00000000 00:00 0

7f9b4f628000-7f9b4f639000 r-xp 00000000 08:07 1059362 /home/whq/anaconda3/lib/python3.6/lib-dynload/_json.cpython-36m-x86_64-linux-gnu.so

7f9b4f639000-7f9b4f839000 ---p 00011000 08:07 1059362 /home/whq/anaconda3/lib/python3.6/lib-dynload/_json.cpython-36m-x86_64-linux-gnu.so

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):

File "main.py", line 182, in

main()

File "main.py", line 151, in main

train(model, train_loader, epoch, criterion, optimizer, logger, args, extractor)

File "/home/whq/Desktop/attentions/proj16/process/train.py", line 29, in train

loss = eval_loss(criterion, inputs_var, targets_var, outputs, args)

File "/home/whq/Desktop/attentions/proj16/process/eval_loss.py", line 9, in eval_loss

if outputs_temporal.size(0) == criterion[2].size(0)

File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in call

result = self.forward(*input, **kwargs)

File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/nn/modules/loss.py", line 84, in forward

reduce=self.reduce)

File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py", line 1270, in l1_loss

input, target, size_average, reduce)

File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py", line 1248, in _pointwise_loss

return lambd_optimized(input, target, size_average, reduce)

File "/home/whq/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 175, in handler

_error_if_any_worker_fails()

RuntimeError: DataLoader worker (pid 14044) is killed by signal: Aborted.

Issue 2:
OS: Xubuntu 16.04 4.13.0-32-generic

PyTorch version: 0.3.0.post4

How you installed PyTorch (conda, pip, source): pip

Python version: Python 3.5.2

CUDA/cuDNN version: running on CPU

To reproduce, clone this repo and execute python3 run_cnn.py. On my machine it results in the following stack trace.

I believe the script is self-explanatory, I was trying to maxpool a 3d convolved tensor :)