Segmentation fault (core dumped) caused by classify.bin

[liusiping10]

Hi, thank you for the excellent work!

I encounter a segmentation fault problem, when I run the classify.bin. If I set the iteration from 15 to 1, It runs correct. How to solve this problem?

++++ shmem__us/sched_energy: 52 0
Concorrency= 0
Latency(us)/Energy(mJ): 0 0
Using lowrank instead.
Layer names:conv1_v and conv1_h
Latency(us)/Energy(mJ): 82483 332.063
Latency(us)/Energy(mJ): 26 0
Latency(us)/Energy(mJ): 179 0.719461
Latency(us)/Energy(mJ): 94 0.237628
Using lowrank instead.
Layer names:conv2_v and conv2_h
Latency(us)/Energy(mJ): 5808 20.0019
Latency(us)/Energy(mJ): 22 0
Latency(us)/Energy(mJ): 143 0.527584
Latency(us)/Energy(mJ): 94 0.260632
Using lowrank instead.
Layer names:conv3_v and conv3_h
Latency(us)/Energy(mJ): 1285 5.00857
Latency(us)/Energy(mJ): 21 0
Using lowrank instead.
Layer names:conv4_v and conv4_h
Latency(us)/Energy(mJ): 1807 7.31882
Latency(us)/Energy(mJ): 20 0
Using lowrank instead.
Layer names:conv5_v and conv5_h
Latency(us)/Energy(mJ): 4245 17.9505
Latency(us)/Energy(mJ): 21 0.313044
Latency(us)/Energy(mJ): 84 0.326688
Latency(us)/Energy(mJ): 3703 17.2541
Latency(us)/Energy(mJ): 23 0
Latency(us)/Energy(mJ): 0 0
Latency(us)/Energy(mJ): 4901 27.0591
Latency(us)/Energy(mJ): 39 0
Latency(us)/Energy(mJ): 0 0
Latency(us)/Energy(mJ): 2076 13.6563
Latency(us)/Energy(mJ): 83 0.576356
_peroid: 25
Progress Cohort={ 20.5,0,0,0,0,0,0,0,0,0,Accuracy Cohort={ 20.5,0,0,0,0,0,0,0,0,0,}
}
++++ sched_us/sched_energy: 52 11.5271
++++ xup_exec_us/xup_energy_mj: 107157 443.274
++++ shmem__us/sched_energy: 73 0
Concorrency= 1101266944
Segmentation fault (core dumped)

[Soroosh129]

What platform are you using?
Could you please give me the following:
AGX or TX2
Jetpack version

[liusiping10]

Thank you for this quick reply.
I am using Jetson TX2 with Jetpack 4.4 DP (Ubuntu 18.04, CUDA 10.2, cuDNN 8.0). Is this highly related to the Jetpack version?

[Soroosh129]

It might. I am currently investigating this issue. I will keep you posted.
Thank you for reporting this.

[liusiping10]

Thank you again. I have solved this problem by 'touch' file /home/nvidia/approxfile, /home/nvidia/datafile and /home/nvidia/concurrfile after debugging and reading the source code.

[Soroosh129]

Ah yes thank you. I forgot to add that to the README. I've updated the README file.