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locnet's Issues

when I run the demo_LocNet_object_detection_pipeline.m follow the read.me, matlab crashed

Check failed: top[0] != bottom[0] (0x7f020bab54b0 vs. 0x7f020bab54b0) Reshape Layer does not allow in-place computation
image
GNU C Library : 2.19 stable
MATLAB Architecture: glnxa64
MATLAB Root : /usr/local/MATLAB/R2014a
MATLAB Version : 8.3.0.532 (R2014a)
Operating System : Linux 3.19.0-33-generic #38~14.04.1-Ubuntu SMP Fri Nov 6 18:17:28 UTC 2015 x86_64
I do not know how to solve it, can you help me ?
Thank you very much!

Matlab crush when running 'demo_LocNet_object_detection_pipeline.m'

Dear author:

Thanks for your great work and code.
My env is Ubuntu 16.04+CUDA-8+cudnn-5.
When I ran the demo_LocNet_object_detection_pipeline.m, the matlab was crushed and the log is shown as follows.
Have you met this error before? Could you help me with this?
I have been sloving this problem for 2 days.
Thanks a lot!

`
Configuration:
Crash Decoding : Disabled - No sandbox or build area path
Crash Mode : continue (default)
Current Graphics Driver: Unknown software
Current Visual : 0x24 (class 4, depth 15)
Default Encoding : UTF-8
Deployed : false
GNU C Library : 2.23 stable
Host Name : gteam-inspur
MATLAB Architecture : glnxa64
MATLAB Entitlement ID: 6257193
MATLAB Root : /usr/local/MATLAB/R2016b
MATLAB Version : 9.1.0.441655 (R2016b)
OpenGL : software
Operating System : Linux 4.4.0-116-generic #140-Ubuntu SMP Mon Feb 12 21:23:04 UTC 2018 x86_64
Processor ID : x86 Family 6 Model 79 Stepping 1, GenuineIntel
Virtual Machine : Java 1.7.0_60-b19 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Window System : The XFree86 Project, Inc (40300000), display :14.0

Fault Count: 6

Abnormal termination:
Segmentation violation

Register State (from fault):
RAX = 00007f3a58871310 RBX = 0000000000000035
RCX = 00007f3a4f037300 RDX = 00007f3a4f0372a0
RSP = 00007f3ce2a05ae0 RBP = 00007f3a53931928
RSI = 0000000000000000 RDI = 0000000000000035

R8 = 00007f3a4f037300 R9 = 000000420b6e0000
R10 = 00007f3a4f0372a0 R11 = 00007f3a58871310
R12 = 0000000000000000 R13 = 00007f3a4f02e0e0
R14 = 00007f3a539310f8 R15 = 00007f3a53107930

RIP = 00007f3a5887133a EFL = 0000000000010202

CS = 0033 FS = 0000 GS = 0000

Stack Trace (from fault):
[ 0] 0x00007f3a5887133a /usr/local/cuda-8.0/lib64/libcudnn.so.5+02822970
[ 1] 0x00007f3b148ec794 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+02545556
[ 2] 0x00007f3b1475e2b2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914098
[ 3] 0x00007f3b1475e406 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914438
[ 4] 0x00007f3b146c2b9a /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00277402
[ 5] 0x00007f3b146c41c2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00283074 mexFunction+00000169
[ 6] 0x00007f3cef9c8caa /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00175274 mexRunMexFile+00000106
[ 7] 0x00007f3cef9c11a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00143779
[ 8] 0x00007f3cef9c2345 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00148293
[ 9] 0x00007f3ceecc18a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00768163 ZN8Mfh_file16dispatch_fh_implEMS_FviPP11mxArray_tagiS2_EiS2_iS2+00000947
[ 10] 0x00007f3ceecc216e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00770414 ZN8Mfh_file11dispatch_fhEiPP11mxArray_tagiS2+00000030
[ 11] 0x00007f3cebafc847 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11675719
[ 12] 0x00007f3cebafcaab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11676331
[ 13] 0x00007f3cebb62461 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+12092513
[ 14] 0x00007f3ceb488930 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04909360
[ 15] 0x00007f3ceb48ac3c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04918332
[ 16] 0x00007f3ceb487410 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903952
[ 17] 0x00007f3ceb482855 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04884565
[ 18] 0x00007f3ceb482b69 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04885353
[ 19] 0x00007f3ceb48720d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903437
[ 20] 0x00007f3ceb4872e2 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903650
[ 21] 0x00007f3ceb57e688 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05916296
[ 22] 0x00007f3ceb580b2f /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05925679
[ 23] 0x00007f3ceb9ff10e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10637582
[ 24] 0x00007f3ceb9c6eab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407595
[ 25] 0x00007f3ceb9c6fb3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407859
[ 26] 0x00007f3ceb9c90d9 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10416345
[ 27] 0x00007f3ceba41bbe /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10910654
[ 28] 0x00007f3ceba41f4a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10911562
[ 29] 0x00007f3cedf663db /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00189403
[ 30] 0x00007f3cedf6707d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00192637 _Z8mnParserv+00000829
[ 31] 0x00007f3ceef83243 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00537155
[ 32] 0x00007f3ceef851ce /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00545230
[ 33] 0x00007f3ceef85849 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00546889 _ZN5boost6detail17task_shared_stateINS_3_bi6bind_tIvPFvRKNS_8functionIFvvEEEENS2_5list1INS2_5valueIS6_EEEEEEvE6do_runEv+00000025
[ 34] 0x00007f3ceef84236 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00541238
[ 35] 0x00007f3cef74bb49 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00863049
[ 36] 0x00007f3cef73851c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00783644 _ZN5boost6detail8function21function_obj_invoker0ISt8functionIFNS_3anyEvEES4_E6invokeERNS1_15function_bufferE+00000028
[ 37] 0x00007f3cef7381fc /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00782844 _ZN3iqm18PackagedTaskPlugin7executeEP15inWorkSpace_tagRN5boost10shared_ptrIN14cmddistributor17IIPCompletedEventEEE+00000428
[ 38] 0x00007f3cef717a0a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00649738
[ 39] 0x00007f3cef703690 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00566928
[ 40] 0x00007f3cef706048 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00577608
[ 41] 0x00007f3cff55e40a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02634762
[ 42] 0x00007f3cff55f9af /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02640303
[ 43] 0x00007f3cff5600e6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02642150 _Z25svWS_ProcessPendingEventsiib+00000102
[ 44] 0x00007f3ceef838c6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00538822
[ 45] 0x00007f3ceef83c42 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00539714
[ 46] 0x00007f3ceef718d6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00465110
[ 47] 0x00007f3cfddbb6ba /lib/x86_64-linux-gnu/libpthread.so.0+00030394
[ 48] 0x00007f3cfdaf141d /lib/x86_64-linux-gnu/libc.so.6+01078301 clone+00000109
[ 49] 0x0000000000000000 +00000000

Abnormal termination:
Segmentation violation

Register State (from fault):
RAX = 00007f3a58871310 RBX = 0000000000000035
RCX = 00007f3a43d1f990 RDX = 00007f3a43d1f930
RSP = 00007f3ce2a05ae0 RBP = 00007f3a43d1b0e8
RSI = 0000000000000000 RDI = 0000000000000035

R8 = 00007f3a43d1f990 R9 = 0000004222f20000
R10 = 00007f3a43d1f930 R11 = 00007f3a58871310
R12 = 0000000000000000 R13 = 00007f3a4f980430
R14 = 00007f3a43d13aa8 R15 = 00007f3a53107930

RIP = 00007f3a5887133a EFL = 0000000000010202

CS = 0033 FS = 0000 GS = 0000

Stack Trace (from fault):
[ 0] 0x00007f3a5887133a /usr/local/cuda-8.0/lib64/libcudnn.so.5+02822970
[ 1] 0x00007f3b148ec794 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+02545556
[ 2] 0x00007f3b1475e2b2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914098
[ 3] 0x00007f3b1475e406 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914438
[ 4] 0x00007f3b146c2b9a /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00277402
[ 5] 0x00007f3b146c41c2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00283074 mexFunction+00000169
[ 6] 0x00007f3cef9c8caa /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00175274 mexRunMexFile+00000106
[ 7] 0x00007f3cef9c11a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00143779
[ 8] 0x00007f3cef9c2345 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00148293
[ 9] 0x00007f3ceecc18a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00768163 ZN8Mfh_file16dispatch_fh_implEMS_FviPP11mxArray_tagiS2_EiS2_iS2+00000947
[ 10] 0x00007f3ceecc216e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00770414 ZN8Mfh_file11dispatch_fhEiPP11mxArray_tagiS2+00000030
[ 11] 0x00007f3cebafc847 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11675719
[ 12] 0x00007f3cebafcaab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11676331
[ 13] 0x00007f3cebb62461 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+12092513
[ 14] 0x00007f3ceb488930 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04909360
[ 15] 0x00007f3ceb48ac3c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04918332
[ 16] 0x00007f3ceb487410 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903952
[ 17] 0x00007f3ceb482855 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04884565
[ 18] 0x00007f3ceb482b69 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04885353
[ 19] 0x00007f3ceb48720d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903437
[ 20] 0x00007f3ceb4872e2 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903650
[ 21] 0x00007f3ceb57e688 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05916296
[ 22] 0x00007f3ceb580b2f /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05925679
[ 23] 0x00007f3ceb9ff10e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10637582
[ 24] 0x00007f3ceb9c6eab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407595
[ 25] 0x00007f3ceb9c6fb3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407859
[ 26] 0x00007f3ceb9c90d9 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10416345
[ 27] 0x00007f3ceba41bbe /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10910654
[ 28] 0x00007f3ceba41f4a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10911562
[ 29] 0x00007f3cedf663db /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00189403
[ 30] 0x00007f3cedf6707d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00192637 _Z8mnParserv+00000829
[ 31] 0x00007f3ceef83243 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00537155
[ 32] 0x00007f3ceef851ce /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00545230
[ 33] 0x00007f3ceef85849 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00546889 _ZN5boost6detail17task_shared_stateINS_3_bi6bind_tIvPFvRKNS_8functionIFvvEEEENS2_5list1INS2_5valueIS6_EEEEEEvE6do_runEv+00000025
[ 34] 0x00007f3ceef84236 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00541238
[ 35] 0x00007f3cef74bb49 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00863049
[ 36] 0x00007f3cef73851c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00783644 _ZN5boost6detail8function21function_obj_invoker0ISt8functionIFNS_3anyEvEES4_E6invokeERNS1_15function_bufferE+00000028
[ 37] 0x00007f3cef7381fc /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00782844 _ZN3iqm18PackagedTaskPlugin7executeEP15inWorkSpace_tagRN5boost10shared_ptrIN14cmddistributor17IIPCompletedEventEEE+00000428
[ 38] 0x00007f3cef717a0a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00649738
[ 39] 0x00007f3cef703690 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00566928
[ 40] 0x00007f3cef706048 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00577608
[ 41] 0x00007f3cff55e40a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02634762
[ 42] 0x00007f3cff55f9af /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02640303
[ 43] 0x00007f3cff5600e6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02642150 _Z25svWS_ProcessPendingEventsiib+00000102
[ 44] 0x00007f3ceef838c6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00538822
[ 45] 0x00007f3ceef83c42 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00539714
[ 46] 0x00007f3ceef718d6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00465110
[ 47] 0x00007f3cfddbb6ba /lib/x86_64-linux-gnu/libpthread.so.0+00030394
[ 48] 0x00007f3cfdaf141d /lib/x86_64-linux-gnu/libc.so.6+01078301 clone+00000109
[ 49] 0x0000000000000000 +00000000

Abnormal termination:
Segmentation violation

Register State (from fault):
RAX = 00007f3a58871310 RBX = 0000000000000035
RCX = 00007f3a4f9a81a0 RDX = 00007f3c084fe5f0
RSP = 00007f3ce2a05ae0 RBP = 00007f3a43cf1198
RSI = 0000000000000000 RDI = 0000000000000035

R8 = 00007f3a4f9a81a0 R9 = 0000004222f20000
R10 = 00007f3c084fe5f0 R11 = 00007f3a58871310
R12 = 0000000000000000 R13 = 00007f3a43d0ecc0
R14 = 00007f3a4f355718 R15 = 00007f3a4f829a70

RIP = 00007f3a5887133a EFL = 0000000000010202

CS = 0033 FS = 0000 GS = 0000

Stack Trace (from fault):
[ 0] 0x00007f3a5887133a /usr/local/cuda-8.0/lib64/libcudnn.so.5+02822970
[ 1] 0x00007f3b148ec794 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+02545556
[ 2] 0x00007f3b1475e2b2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914098
[ 3] 0x00007f3b1475e406 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914438
[ 4] 0x00007f3b146c2b9a /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00277402
[ 5] 0x00007f3b146c41c2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00283074 mexFunction+00000169
[ 6] 0x00007f3cef9c8caa /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00175274 mexRunMexFile+00000106
[ 7] 0x00007f3cef9c11a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00143779
[ 8] 0x00007f3cef9c2345 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00148293
[ 9] 0x00007f3ceecc18a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00768163 ZN8Mfh_file16dispatch_fh_implEMS_FviPP11mxArray_tagiS2_EiS2_iS2+00000947
[ 10] 0x00007f3ceecc216e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00770414 ZN8Mfh_file11dispatch_fhEiPP11mxArray_tagiS2+00000030
[ 11] 0x00007f3cebafc847 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11675719
[ 12] 0x00007f3cebafcaab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11676331
[ 13] 0x00007f3cebb62461 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+12092513
[ 14] 0x00007f3ceb488930 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04909360
[ 15] 0x00007f3ceb48ac3c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04918332
[ 16] 0x00007f3ceb487410 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903952
[ 17] 0x00007f3ceb482855 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04884565
[ 18] 0x00007f3ceb482b69 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04885353
[ 19] 0x00007f3ceb48720d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903437
[ 20] 0x00007f3ceb4872e2 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903650
[ 21] 0x00007f3ceb57e688 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05916296
[ 22] 0x00007f3ceb580b2f /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05925679
[ 23] 0x00007f3ceb9ff10e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10637582
[ 24] 0x00007f3ceb9c6eab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407595
[ 25] 0x00007f3ceb9c6fb3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407859
[ 26] 0x00007f3ceb9c90d9 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10416345
[ 27] 0x00007f3ceba41bbe /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10910654
[ 28] 0x00007f3ceba41f4a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10911562
[ 29] 0x00007f3cedf663db /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00189403
[ 30] 0x00007f3cedf6707d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00192637 _Z8mnParserv+00000829
[ 31] 0x00007f3ceef83243 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00537155
[ 32] 0x00007f3ceef851ce /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00545230
[ 33] 0x00007f3ceef85849 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00546889 _ZN5boost6detail17task_shared_stateINS_3_bi6bind_tIvPFvRKNS_8functionIFvvEEEENS2_5list1INS2_5valueIS6_EEEEEEvE6do_runEv+00000025
[ 34] 0x00007f3ceef84236 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00541238
[ 35] 0x00007f3cef74bb49 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00863049
[ 36] 0x00007f3cef73851c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00783644 _ZN5boost6detail8function21function_obj_invoker0ISt8functionIFNS_3anyEvEES4_E6invokeERNS1_15function_bufferE+00000028
[ 37] 0x00007f3cef7381fc /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00782844 _ZN3iqm18PackagedTaskPlugin7executeEP15inWorkSpace_tagRN5boost10shared_ptrIN14cmddistributor17IIPCompletedEventEEE+00000428
[ 38] 0x00007f3cef717a0a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00649738
[ 39] 0x00007f3cef703690 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00566928
[ 40] 0x00007f3cef706048 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00577608
[ 41] 0x00007f3cff55e40a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02634762
[ 42] 0x00007f3cff55f9af /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02640303
[ 43] 0x00007f3cff5600e6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02642150 _Z25svWS_ProcessPendingEventsiib+00000102
[ 44] 0x00007f3ceef838c6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00538822
[ 45] 0x00007f3ceef83c42 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00539714
[ 46] 0x00007f3ceef718d6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00465110
[ 47] 0x00007f3cfddbb6ba /lib/x86_64-linux-gnu/libpthread.so.0+00030394
[ 48] 0x00007f3cfdaf141d /lib/x86_64-linux-gnu/libc.so.6+01078301 clone+00000109
[ 49] 0x0000000000000000 +00000000

Abnormal termination:
Segmentation violation

Register State (from fault):
RAX = 00007f3a58871310 RBX = 0000000000000035
RCX = 00007f3a403c72d0 RDX = 00007f3a298fb430
RSP = 00007f3ce2a05ae0 RBP = 00007f3a43cf3098
RSI = 0000000000000000 RDI = 0000000000000035

R8 = 00007f3a403c72d0 R9 = 0000004222f20000
R10 = 00007f3a298fb430 R11 = 00007f3a58871310
R12 = 0000000000000000 R13 = 00007f3a4f2ca430
R14 = 00007f3a4f980df8 R15 = 00007f3a4f323670

RIP = 00007f3a5887133a EFL = 0000000000010202

CS = 0033 FS = 0000 GS = 0000

Stack Trace (from fault):
[ 0] 0x00007f3a5887133a /usr/local/cuda-8.0/lib64/libcudnn.so.5+02822970
[ 1] 0x00007f3b148ec794 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+02545556
[ 2] 0x00007f3b1475e2b2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914098
[ 3] 0x00007f3b1475e406 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914438
[ 4] 0x00007f3b146c2b9a /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00277402
[ 5] 0x00007f3b146c41c2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00283074 mexFunction+00000169
[ 6] 0x00007f3cef9c8caa /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00175274 mexRunMexFile+00000106
[ 7] 0x00007f3cef9c11a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00143779
[ 8] 0x00007f3cef9c2345 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00148293
[ 9] 0x00007f3ceecc18a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00768163 ZN8Mfh_file16dispatch_fh_implEMS_FviPP11mxArray_tagiS2_EiS2_iS2+00000947
[ 10] 0x00007f3ceecc216e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00770414 ZN8Mfh_file11dispatch_fhEiPP11mxArray_tagiS2+00000030
[ 11] 0x00007f3cebafc847 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11675719
[ 12] 0x00007f3cebafcaab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11676331
[ 13] 0x00007f3cebb62461 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+12092513
[ 14] 0x00007f3ceb488930 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04909360
[ 15] 0x00007f3ceb48ac3c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04918332
[ 16] 0x00007f3ceb487410 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903952
[ 17] 0x00007f3ceb482855 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04884565
[ 18] 0x00007f3ceb482b69 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04885353
[ 19] 0x00007f3ceb48720d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903437
[ 20] 0x00007f3ceb4872e2 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+04903650
[ 21] 0x00007f3ceb57e688 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05916296
[ 22] 0x00007f3ceb580b2f /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05925679
[ 23] 0x00007f3ceb9ff10e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10637582
[ 24] 0x00007f3ceb9c6eab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407595
[ 25] 0x00007f3ceb9c6fb3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407859
[ 26] 0x00007f3ceb9c90d9 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10416345
[ 27] 0x00007f3ceba41bbe /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10910654
[ 28] 0x00007f3ceba41f4a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10911562
[ 29] 0x00007f3cedf663db /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00189403
[ 30] 0x00007f3cedf6707d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00192637 _Z8mnParserv+00000829
[ 31] 0x00007f3ceef83243 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00537155
[ 32] 0x00007f3ceef851ce /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00545230
[ 33] 0x00007f3ceef85849 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00546889 _ZN5boost6detail17task_shared_stateINS_3_bi6bind_tIvPFvRKNS_8functionIFvvEEEENS2_5list1INS2_5valueIS6_EEEEEEvE6do_runEv+00000025
[ 34] 0x00007f3ceef84236 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00541238
[ 35] 0x00007f3cef74bb49 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00863049
[ 36] 0x00007f3cef73851c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00783644 _ZN5boost6detail8function21function_obj_invoker0ISt8functionIFNS_3anyEvEES4_E6invokeERNS1_15function_bufferE+00000028
[ 37] 0x00007f3cef7381fc /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00782844 _ZN3iqm18PackagedTaskPlugin7executeEP15inWorkSpace_tagRN5boost10shared_ptrIN14cmddistributor17IIPCompletedEventEEE+00000428
[ 38] 0x00007f3cef717a0a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00649738
[ 39] 0x00007f3cef703690 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00566928
[ 40] 0x00007f3cef706048 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00577608
[ 41] 0x00007f3cff55e40a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02634762
[ 42] 0x00007f3cff55f9af /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02640303
[ 43] 0x00007f3cff5600e6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02642150 _Z25svWS_ProcessPendingEventsiib+00000102
[ 44] 0x00007f3ceef838c6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00538822
[ 45] 0x00007f3ceef83c42 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00539714
[ 46] 0x00007f3ceef718d6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00465110
[ 47] 0x00007f3cfddbb6ba /lib/x86_64-linux-gnu/libpthread.so.0+00030394
[ 48] 0x00007f3cfdaf141d /lib/x86_64-linux-gnu/libc.so.6+01078301 clone+00000109
[ 49] 0x0000000000000000 +00000000

Abnormal termination:
Segmentation violation

Register State (from fault):
RAX = 00007f3a58871310 RBX = 00000000000000a5
RCX = 00007f3a4063aa10 RDX = 00007f3a29c9a040
RSP = 00007f3ce2a06250 RBP = 00007f3a2992a458
RSI = 0000000000000000 RDI = 00000000000000a5

R8 = 00007f3a4063aa10 R9 = 0000004222f20000
R10 = 00007f3a29c9a040 R11 = 00007f3a58871310
R12 = 0000000000000000 R13 = 00007f3a41ee3330
R14 = 00007f3a41cfed78 R15 = 00007f3a4f3773c0

RIP = 00007f3a5887133a EFL = 0000000000010206

CS = 0033 FS = 0000 GS = 0000

Stack Trace (from fault):
[ 0] 0x00007f3a5887133a /usr/local/cuda-8.0/lib64/libcudnn.so.5+02822970
[ 1] 0x00007f3b148ec794 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+02545556
[ 2] 0x00007f3b1475e2b2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914098
[ 3] 0x00007f3b1475e406 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914438
[ 4] 0x00007f3b146c2b9a /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00277402
[ 5] 0x00007f3b146c41c2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00283074 mexFunction+00000169
[ 6] 0x00007f3cef9c8caa /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00175274 mexRunMexFile+00000106
[ 7] 0x00007f3cef9c11a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00143779
[ 8] 0x00007f3cef9c2345 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00148293
[ 9] 0x00007f3ceecc18a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00768163 ZN8Mfh_file16dispatch_fh_implEMS_FviPP11mxArray_tagiS2_EiS2_iS2+00000947
[ 10] 0x00007f3ceecc216e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00770414 ZN8Mfh_file11dispatch_fhEiPP11mxArray_tagiS2+00000030
[ 11] 0x00007f3cebafc847 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11675719
[ 12] 0x00007f3cebafcaab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11676331
[ 13] 0x00007f3cebb62461 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+12092513
[ 14] 0x00007f3ceb58cfda /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05976026
[ 15] 0x00007f3ceb57dc05 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05913605
[ 16] 0x00007f3ceb580b2f /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05925679
[ 17] 0x00007f3ceb9ff10e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10637582
[ 18] 0x00007f3ceb9c6eab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407595
[ 19] 0x00007f3ceb9c6fb3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407859
[ 20] 0x00007f3ceb9c90d9 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10416345
[ 21] 0x00007f3ceba41bbe /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10910654
[ 22] 0x00007f3ceba41f4a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10911562
[ 23] 0x00007f3cedf663db /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00189403
[ 24] 0x00007f3cedf6707d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00192637 _Z8mnParserv+00000829
[ 25] 0x00007f3ceef83243 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00537155
[ 26] 0x00007f3ceef851ce /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00545230
[ 27] 0x00007f3ceef85849 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00546889 _ZN5boost6detail17task_shared_stateINS_3_bi6bind_tIvPFvRKNS_8functionIFvvEEEENS2_5list1INS2_5valueIS6_EEEEEEvE6do_runEv+00000025
[ 28] 0x00007f3ceef84236 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00541238
[ 29] 0x00007f3cef74bb49 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00863049
[ 30] 0x00007f3cef73851c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00783644 _ZN5boost6detail8function21function_obj_invoker0ISt8functionIFNS_3anyEvEES4_E6invokeERNS1_15function_bufferE+00000028
[ 31] 0x00007f3cef7381fc /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00782844 _ZN3iqm18PackagedTaskPlugin7executeEP15inWorkSpace_tagRN5boost10shared_ptrIN14cmddistributor17IIPCompletedEventEEE+00000428
[ 32] 0x00007f3cef717a0a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00649738
[ 33] 0x00007f3cef703690 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00566928
[ 34] 0x00007f3cef706048 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00577608
[ 35] 0x00007f3cff55e40a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02634762
[ 36] 0x00007f3cff55f9af /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02640303
[ 37] 0x00007f3cff5600e6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02642150 _Z25svWS_ProcessPendingEventsiib+00000102
[ 38] 0x00007f3ceef838c6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00538822
[ 39] 0x00007f3ceef83c42 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00539714
[ 40] 0x00007f3ceef718d6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00465110
[ 41] 0x00007f3cfddbb6ba /lib/x86_64-linux-gnu/libpthread.so.0+00030394
[ 42] 0x00007f3cfdaf141d /lib/x86_64-linux-gnu/libc.so.6+01078301 clone+00000109
[ 43] 0x0000000000000000 +00000000

Abnormal termination:
Segmentation violation

Register State (from fault):
RAX = 00007f3a58871310 RBX = 00000000000000a5
RCX = 00007f3a427fdb60 RDX = 00007f3a422d6980
RSP = 00007f3ce2a06250 RBP = 00007f3a29b55658
RSI = 0000000000000000 RDI = 00000000000000a5

R8 = 00007f3a427fdb60 R9 = 000000420b6e0000
R10 = 00007f3a422d6980 R11 = 00007f3a58871310
R12 = 0000000000000000 R13 = 00007f3a41ee3330
R14 = 00007f3a434eced8 R15 = 00007f3a4f2ef300

RIP = 00007f3a5887133a EFL = 0000000000010206

CS = 0033 FS = 0000 GS = 0000

Stack Trace (from fault):
[ 0] 0x00007f3a5887133a /usr/local/cuda-8.0/lib64/libcudnn.so.5+02822970
[ 1] 0x00007f3b148ec794 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+02545556
[ 2] 0x00007f3b1475e2b2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914098
[ 3] 0x00007f3b1475e406 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00914438
[ 4] 0x00007f3b146c2b9a /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00277402
[ 5] 0x00007f3b146c41c2 /home/jk/gitpackages/LocNet/external/caffe_LocNet/matlab/+caffe/private/caffe_.mexa64+00283074 mexFunction+00000169
[ 6] 0x00007f3cef9c8caa /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00175274 mexRunMexFile+00000106
[ 7] 0x00007f3cef9c11a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00143779
[ 8] 0x00007f3cef9c2345 /usr/local/MATLAB/R2016b/bin/glnxa64/libmex.so+00148293
[ 9] 0x00007f3ceecc18a3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00768163 ZN8Mfh_file16dispatch_fh_implEMS_FviPP11mxArray_tagiS2_EiS2_iS2+00000947
[ 10] 0x00007f3ceecc216e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_dispatcher.so+00770414 ZN8Mfh_file11dispatch_fhEiPP11mxArray_tagiS2+00000030
[ 11] 0x00007f3cebafc847 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11675719
[ 12] 0x00007f3cebafcaab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+11676331
[ 13] 0x00007f3cebb62461 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+12092513
[ 14] 0x00007f3ceb58cfda /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05976026
[ 15] 0x00007f3ceb57dc05 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05913605
[ 16] 0x00007f3ceb580b2f /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+05925679
[ 17] 0x00007f3ceb9ff10e /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10637582
[ 18] 0x00007f3ceb9c6eab /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407595
[ 19] 0x00007f3ceb9c6fb3 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10407859
[ 20] 0x00007f3ceb9c90d9 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10416345
[ 21] 0x00007f3ceba41bbe /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10910654
[ 22] 0x00007f3ceba41f4a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwm_lxe.so+10911562
[ 23] 0x00007f3cedf663db /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00189403
[ 24] 0x00007f3cedf6707d /usr/local/MATLAB/R2016b/bin/glnxa64/libmwbridge.so+00192637 _Z8mnParserv+00000829
[ 25] 0x00007f3ceef83243 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00537155
[ 26] 0x00007f3ceef851ce /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00545230
[ 27] 0x00007f3ceef85849 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00546889 _ZN5boost6detail17task_shared_stateINS_3_bi6bind_tIvPFvRKNS_8functionIFvvEEEENS2_5list1INS2_5valueIS6_EEEEEEvE6do_runEv+00000025
[ 28] 0x00007f3ceef84236 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00541238
[ 29] 0x00007f3cef74bb49 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00863049
[ 30] 0x00007f3cef73851c /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00783644 _ZN5boost6detail8function21function_obj_invoker0ISt8functionIFNS_3anyEvEES4_E6invokeERNS1_15function_bufferE+00000028
[ 31] 0x00007f3cef7381fc /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00782844 _ZN3iqm18PackagedTaskPlugin7executeEP15inWorkSpace_tagRN5boost10shared_ptrIN14cmddistributor17IIPCompletedEventEEE+00000428
[ 32] 0x00007f3cef717a0a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00649738
[ 33] 0x00007f3cef703690 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00566928
[ 34] 0x00007f3cef706048 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwiqm.so+00577608
[ 35] 0x00007f3cff55e40a /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02634762
[ 36] 0x00007f3cff55f9af /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02640303
[ 37] 0x00007f3cff5600e6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwservices.so+02642150 _Z25svWS_ProcessPendingEventsiib+00000102
[ 38] 0x00007f3ceef838c6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00538822
[ 39] 0x00007f3ceef83c42 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00539714
[ 40] 0x00007f3ceef718d6 /usr/local/MATLAB/R2016b/bin/glnxa64/libmwmcr.so+00465110
[ 41] 0x00007f3cfddbb6ba /lib/x86_64-linux-gnu/libpthread.so.0+00030394
[ 42] 0x00007f3cfdaf141d /lib/x86_64-linux-gnu/libc.so.6+01078301 clone+00000109
[ 43] 0x0000000000000000 +00000000

This error was detected while a MEX-file was running. If the MEX-file
is not an official MathWorks function, please examine its source code
for errors. Please consult the External Interfaces Guide for information
on debugging MEX-files.

If this problem is reproducible, please submit a Service Request via:
http://www.mathworks.com/support/contact_us/

A technical support engineer might contact you with further information.

Thank you for your help.`

Fine tuning

How to fine tune your model?
I don't have sufficient data to retrain your model from scratch.
I want to fine tune your model on my data which has only two classes ?

caffe_LocNet --- Makefile:553: recipe for target '.build_release/src/caffe/net.o' failed

My system specs

Ubuntu 16.04
CUDA 8.0
Matlab R2014b
gcc/g++  5.4.0
OpenCV  3.2

Here is my output:

PROTOC src/caffe/proto/caffe.proto
CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/internal_thread.cpp
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_IN_PROGRESS’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_FP_OVERFLOW’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
/usr/local/cuda/include/cudnn.h:537:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
/usr/local/cuda/include/cudnn.h:1031:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:553: recipe for target '.build_release/src/caffe/internal_thread.o' failed
make: *** [.build_release/src/caffe/internal_thread.o] Error 1
➜  caffe_LocNet git:(master) ✗ ls
build           CONTRIBUTING.md  docs        LICENSE                  matlab     scripts
caffe.cloc      CONTRIBUTORS.md  examples    Makefile                 models     src
cmake           data             include     Makefile.config          python     tools
CMakeLists.txt  distribute       INSTALL.md  Makefile.config.example  README.md
➜  caffe_LocNet git:(master) ✗ cp Makefile Makefile-bak
➜  caffe_LocNet git:(master) ✗ ls
build           CONTRIBUTING.md  docs        LICENSE          Makefile.config.example  README.md
caffe.cloc      CONTRIBUTORS.md  examples    Makefile         matlab                   scripts
cmake           data             include     Makefile-bak     models                   src
CMakeLists.txt  distribute       INSTALL.md  Makefile.config  python                   tools
➜  caffe_LocNet git:(master) ✗ cp ~/caffe/Makefile .
➜  caffe_LocNet git:(master) ✗ ls
build           CONTRIBUTING.md  docs        LICENSE          Makefile.config.example  README.md
caffe.cloc      CONTRIBUTORS.md  examples    Makefile         matlab                   scripts
cmake           data             include     Makefile-bak     models                   src
CMakeLists.txt  distribute       INSTALL.md  Makefile.config  python                   tools
➜  caffe_LocNet git:(master) ✗ make all -8
make: invalid option -- '8'
Usage: make [options] [target] ...
Options:
  -b, -m                      Ignored for compatibility.
  -B, --always-make           Unconditionally make all targets.
  -C DIRECTORY, --directory=DIRECTORY
                              Change to DIRECTORY before doing anything.
  -d                          Print lots of debugging information.
  --debug[=FLAGS]             Print various types of debugging information.
  -e, --environment-overrides
                              Environment variables override makefiles.
  --eval=STRING               Evaluate STRING as a makefile statement.
  -f FILE, --file=FILE, --makefile=FILE
                              Read FILE as a makefile.
  -h, --help                  Print this message and exit.
  -i, --ignore-errors         Ignore errors from recipes.
  -I DIRECTORY, --include-dir=DIRECTORY
                              Search DIRECTORY for included makefiles.
  -j [N], --jobs[=N]          Allow N jobs at once; infinite jobs with no arg.
  -k, --keep-going            Keep going when some targets can't be made.
  -l [N], --load-average[=N], --max-load[=N]
                              Don't start multiple jobs unless load is below N.
  -L, --check-symlink-times   Use the latest mtime between symlinks and target.
  -n, --just-print, --dry-run, --recon
                              Don't actually run any recipe; just print them.
  -o FILE, --old-file=FILE, --assume-old=FILE
                              Consider FILE to be very old and don't remake it.
  -O[TYPE], --output-sync[=TYPE]
                              Synchronize output of parallel jobs by TYPE.
  -p, --print-data-base       Print make's internal database.
  -q, --question              Run no recipe; exit status says if up to date.
  -r, --no-builtin-rules      Disable the built-in implicit rules.
  -R, --no-builtin-variables  Disable the built-in variable settings.
  -s, --silent, --quiet       Don't echo recipes.
  -S, --no-keep-going, --stop
                              Turns off -k.
  -t, --touch                 Touch targets instead of remaking them.
  --trace                     Print tracing information.
  -v, --version               Print the version number of make and exit.
  -w, --print-directory       Print the current directory.
  --no-print-directory        Turn off -w, even if it was turned on implicitly.
  -W FILE, --what-if=FILE, --new-file=FILE, --assume-new=FILE
                              Consider FILE to be infinitely new.
  --warn-undefined-variables  Warn when an undefined variable is referenced.

This program built for x86_64-pc-linux-gnu
Report bugs to <[email protected]>
➜  caffe_LocNet git:(master) ✗ make all -8
make: invalid option -- '8'
Usage: make [options] [target] ...
Options:
  -b, -m                      Ignored for compatibility.
  -B, --always-make           Unconditionally make all targets.
  -C DIRECTORY, --directory=DIRECTORY
                              Change to DIRECTORY before doing anything.
  -d                          Print lots of debugging information.
  --debug[=FLAGS]             Print various types of debugging information.
  -e, --environment-overrides
                              Environment variables override makefiles.
  --eval=STRING               Evaluate STRING as a makefile statement.
  -f FILE, --file=FILE, --makefile=FILE
                              Read FILE as a makefile.
  -h, --help                  Print this message and exit.
  -i, --ignore-errors         Ignore errors from recipes.
  -I DIRECTORY, --include-dir=DIRECTORY
                              Search DIRECTORY for included makefiles.
  -j [N], --jobs[=N]          Allow N jobs at once; infinite jobs with no arg.
  -k, --keep-going            Keep going when some targets can't be made.
  -l [N], --load-average[=N], --max-load[=N]
                              Don't start multiple jobs unless load is below N.
  -L, --check-symlink-times   Use the latest mtime between symlinks and target.
  -n, --just-print, --dry-run, --recon
                              Don't actually run any recipe; just print them.
  -o FILE, --old-file=FILE, --assume-old=FILE
                              Consider FILE to be very old and don't remake it.
  -O[TYPE], --output-sync[=TYPE]
                              Synchronize output of parallel jobs by TYPE.
  -p, --print-data-base       Print make's internal database.
  -q, --question              Run no recipe; exit status says if up to date.
  -r, --no-builtin-rules      Disable the built-in implicit rules.
  -R, --no-builtin-variables  Disable the built-in variable settings.
  -s, --silent, --quiet       Don't echo recipes.
  -S, --no-keep-going, --stop
                              Turns off -k.
  -t, --touch                 Touch targets instead of remaking them.
  --trace                     Print tracing information.
  -v, --version               Print the version number of make and exit.
  -w, --print-directory       Print the current directory.
  --no-print-directory        Turn off -w, even if it was turned on implicitly.
  -W FILE, --what-if=FILE, --new-file=FILE, --assume-new=FILE
                              Consider FILE to be infinitely new.
  --warn-undefined-variables  Warn when an undefined variable is referenced.

This program built for x86_64-pc-linux-gnu
Report bugs to <[email protected]>
➜  caffe_LocNet git:(master) ✗ make all -8
make: invalid option -- '8'
Usage: make [options] [target] ...
Options:
  -b, -m                      Ignored for compatibility.
  -B, --always-make           Unconditionally make all targets.
  -C DIRECTORY, --directory=DIRECTORY
                              Change to DIRECTORY before doing anything.
  -d                          Print lots of debugging information.
  --debug[=FLAGS]             Print various types of debugging information.
  -e, --environment-overrides
                              Environment variables override makefiles.
  --eval=STRING               Evaluate STRING as a makefile statement.
  -f FILE, --file=FILE, --makefile=FILE
                              Read FILE as a makefile.
  -h, --help                  Print this message and exit.
  -i, --ignore-errors         Ignore errors from recipes.
  -I DIRECTORY, --include-dir=DIRECTORY
                              Search DIRECTORY for included makefiles.
  -j [N], --jobs[=N]          Allow N jobs at once; infinite jobs with no arg.
  -k, --keep-going            Keep going when some targets can't be made.
  -l [N], --load-average[=N], --max-load[=N]
                              Don't start multiple jobs unless load is below N.
  -L, --check-symlink-times   Use the latest mtime between symlinks and target.
  -n, --just-print, --dry-run, --recon
                              Don't actually run any recipe; just print them.
  -o FILE, --old-file=FILE, --assume-old=FILE
                              Consider FILE to be very old and don't remake it.
  -O[TYPE], --output-sync[=TYPE]
                              Synchronize output of parallel jobs by TYPE.
  -p, --print-data-base       Print make's internal database.
  -q, --question              Run no recipe; exit status says if up to date.
  -r, --no-builtin-rules      Disable the built-in implicit rules.
  -R, --no-builtin-variables  Disable the built-in variable settings.
  -s, --silent, --quiet       Don't echo recipes.
  -S, --no-keep-going, --stop
                              Turns off -k.
  -t, --touch                 Touch targets instead of remaking them.
  --trace                     Print tracing information.
  -v, --version               Print the version number of make and exit.
  -w, --print-directory       Print the current directory.
  --no-print-directory        Turn off -w, even if it was turned on implicitly.
  -W FILE, --what-if=FILE, --new-file=FILE, --assume-new=FILE
                              Consider FILE to be infinitely new.
  --warn-undefined-variables  Warn when an undefined variable is referenced.

This program built for x86_64-pc-linux-gnu
Report bugs to <[email protected]>
➜  caffe_LocNet git:(master) ✗ ls
build           CONTRIBUTING.md  docs        LICENSE          Makefile.config.example  README.md
caffe.cloc      CONTRIBUTORS.md  examples    Makefile         matlab                   scripts
cmake           data             include     Makefile-bak     models                   src
CMakeLists.txt  distribute       INSTALL.md  Makefile.config  python                   tools
➜  caffe_LocNet git:(master) ✗ cp Makefile-bak Makefile
➜  caffe_LocNet git:(master) ✗ ls
build           CONTRIBUTING.md  docs        LICENSE          Makefile.config.example  README.md
caffe.cloc      CONTRIBUTORS.md  examples    Makefile         matlab                   scripts
cmake           data             include     Makefile-bak     models                   src
CMakeLists.txt  distribute       INSTALL.md  Makefile.config  python                   tools
➜  caffe_LocNet git:(master) ✗ make all -j8
CXX src/caffe/internal_thread.cpp
CXX src/caffe/net.cpp
CXX src/caffe/data_transformer.cpp
CXX src/caffe/blob.cpp
CXX src/caffe/data_reader.cpp
CXX src/caffe/util/cudnn.cpp
CXX src/caffe/util/db_leveldb.cpp
CXX src/caffe/util/db_lmdb.cpp
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_lmdb.hpp:9,
                 from src/caffe/util/db_lmdb.cpp:2:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_IN_PROGRESS’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_FP_OVERFLOW’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_lmdb.hpp:9,
                 from src/caffe/util/db_lmdb.cpp:2:
/usr/local/cuda/include/cudnn.h:537:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_lmdb.hpp:9,
                 from src/caffe/util/db_lmdb.cpp:2:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_lmdb.hpp:9,
                 from src/caffe/util/db_lmdb.cpp:2:
/usr/local/cuda/include/cudnn.h:1031:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:553: recipe for target '.build_release/src/caffe/util/db_lmdb.o' failed
make: *** [.build_release/src/caffe/util/db_lmdb.o] Error 1
make: *** Waiting for unfinished jobs....
In file included from src/caffe/util/cudnn.cpp:2:0:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_IN_PROGRESS’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_FP_OVERFLOW’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from src/caffe/util/cudnn.cpp:2:
/usr/local/cuda/include/cudnn.h:537:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from src/caffe/util/cudnn.cpp:2:0:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from src/caffe/util/cudnn.cpp:2:
/usr/local/cuda/include/cudnn.h:1031:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:553: recipe for target '.build_release/src/caffe/util/cudnn.o' failed
make: *** [.build_release/src/caffe/util/cudnn.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_leveldb.hpp:10,
                 from src/caffe/util/db_leveldb.cpp:2:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_IN_PROGRESS’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_FP_OVERFLOW’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_leveldb.hpp:10,
                 from src/caffe/util/db_leveldb.cpp:2:
/usr/local/cuda/include/cudnn.h:537:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_leveldb.hpp:10,
                 from src/caffe/util/db_leveldb.cpp:2:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_leveldb.hpp:10,
                 from src/caffe/util/db_leveldb.cpp:2:
/usr/local/cuda/include/cudnn.h:1031:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:553: recipe for target '.build_release/src/caffe/util/db_leveldb.o' failed
make: *** [.build_release/src/caffe/util/db_leveldb.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from src/caffe/blob.cpp:4:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_IN_PROGRESS’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_FP_OVERFLOW’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from src/caffe/blob.cpp:4:
/usr/local/cuda/include/cudnn.h:537:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from src/caffe/blob.cpp:4:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from src/caffe/blob.cpp:4:
/usr/local/cuda/include/cudnn.h:1031:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:553: recipe for target '.build_release/src/caffe/blob.o' failed
make: *** [.build_release/src/caffe/blob.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/data_transformer.hpp:6,
                 from src/caffe/data_transformer.cpp:8:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_IN_PROGRESS’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_FP_OVERFLOW’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/data_transformer.hpp:6,
                 from src/caffe/data_transformer.cpp:8:
/usr/local/cuda/include/cudnn.h:537:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/data_transformer.hpp:6,
                 from src/caffe/data_transformer.cpp:8:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/data_transformer.hpp:6,
                 from src/caffe/data_transformer.cpp:8:
/usr/local/cuda/include/cudnn.h:1031:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:553: recipe for target '.build_release/src/caffe/data_transformer.o' failed
make: *** [.build_release/src/caffe/data_transformer.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_IN_PROGRESS’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_FP_OVERFLOW’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
/usr/local/cuda/include/cudnn.h:537:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
/usr/local/cuda/include/cudnn.h:1031:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:553: recipe for target '.build_release/src/caffe/internal_thread.o' failed
make: *** [.build_release/src/caffe/internal_thread.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/data_reader.cpp:6:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_IN_PROGRESS’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_FP_OVERFLOW’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/data_reader.cpp:6:
/usr/local/cuda/include/cudnn.h:537:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/data_reader.cpp:6:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/data_reader.cpp:6:
/usr/local/cuda/include/cudnn.h:1031:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:553: recipe for target '.build_release/src/caffe/data_reader.o' failed
make: *** [.build_release/src/caffe/data_reader.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/net.cpp:10:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_IN_PROGRESS’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_FP_OVERFLOW’ not handled in switch [-Wswitch]
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/net.cpp:10:
/usr/local/cuda/include/cudnn.h:537:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/net.cpp:10:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/net.cpp:10:
/usr/local/cuda/include/cudnn.h:1031:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:553: recipe for target '.build_release/src/caffe/net.o' failed
make: *** [.build_release/src/caffe/net.o] Error 1

Any solution?

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