Frequent `Segmentation Fault (Core dumped)`

I am trying to run the code in the usage part of the README file. python imagenet.py --gpu 0,1,2,3 --data /home/bcrc/Datasets/imagenet --mode pre ....... However, I encountered ‘core dump’ error frequently during quantizing.

I am not familiar with debugging the dumped core file with python. I can give the core file if someone can help me (It is too large to upload). Or anyone can give me some instructions?

[EowinYe]

@zhutmost @dhkwon1122 , thank you for letting me know. I have upload the new version to support for the latest tensorflow and tensorpack. But it’s still under testing. You can try the branch support-latest-tf-tensorpack. If your environment is tf 1.13 and the latest tensorpack with CUDA 10.0 and CUDNN 7.5, you may face with the problem like this: UnknownError (see above for traceback): Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. You can downgrade your tf version to solve it.

[zhutmost]

I got same error with example command. did you solve it?

Sorry, not yet. If you have any idea, I can have a try. @dhkwon1122