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I have some trouble running the train.py, and I guess the problem is on the tensorboard_logger.
I use the pycharm to debug, and when it gets to the "import tensorboard_logger as tb_logger", the code stops and returns "Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)".
When I directly use the "python train.py --data_path "$DATA_PATH" --data_name coco_precomp --logger_name runs/coco_vse++ --max_violation", it only returns "Segmentation fault (core dumped)".
I firstly guess the problem is on the installation of tensorboard_logger, so I install it again, and run "import tensorboard_logger as tb_logger" in the python situation instead of bash, there is no error occurs.
That's unexpected. Can you get rid of all the lines related to tb_logger and try again? If it did not work, try running with ipython --pdb -- train.py .... That might catch segfault and give you more information about where it happened.
I have some trouble running the train.py, and I guess the problem is on the tensorboard_logger.
I use the pycharm to debug, and when it gets to the "import tensorboard_logger as tb_logger", the code stops and returns "Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)".
When I directly use the "python train.py --data_path "$DATA_PATH" --data_name coco_precomp --logger_name runs/coco_vse++ --max_violation", it only returns "Segmentation fault (core dumped)".
I firstly guess the problem is on the installation of tensorboard_logger, so I install it again, and run "import tensorboard_logger as tb_logger" in the python situation instead of bash, there is no error occurs.
Can anyone make a help to find the problem? Thx!
@fartashf
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