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Illegal Instruction (core dumped) #20
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Hi, I do not have an exact solution to core dumped problem. I recommend you to try some python virtual environment, such as anaconda. |
Hello, What exactly do you mean by creating a python virtual environment? Similar to how EMAN2 is installed? I will investigate versions but I do not find a combination that fits my specs. |
So I installed the most recent tensorflow instead, 2.6.0 and I have progress in the sense that I get a bunch of error messages: 11-05 14:34:20, INFO 11-05 14:34:21, ERROR Traceback (most recent call last): |
I think I did not install tensorflow properly. I followed the instructions you provided: pip install tensorflow-gpu==2.6.0 but when I read how to install tensorflow from the page you provide to check compatibility it involves many more steps. Should I do a proper installation of tensorflow or only the command you provide is enough? Thanks, |
Hi, I am sorry that you have to deal with these problems. What you can do is to either: Or use download anaconda: https://www.anaconda.com/ Here are commands for my recent installation: Hope that would help. |
Ok I am trying this right now. After this i should launch isonet.py gui from the tf2.5 environment? |
Ok so this works (i didn't do the last two exports to the path because I had already done that prior. I did however need to do pip install PyQt5 after your commands. From there isonet.py gui works fine and refining works ! However it seems to be using all 16 cores at 100% and it just suddenly crashes my computer which then reboots. By crashing I mean sudden black screen and then it boots. It really weird. Tried it twice. |
Additional information: I am trying this on 3 bin4 tomograms, ~1k each... |
Thank you for your reporting this, there is a parameter that specify how many cpu you are going to use in preprocessing step. |
I suggest you start with tutorial dataset to observe the behavior of the program. |
Even when i use 8 threads with the sample data or my data it does the same thing. The computer turns off |
I think It's making my system crash wjnicol@caliban:~$ last -x | head | tac |
Sorry for bombarding you with messages buti will be away from my workstation for 2 weeks and am trying to give you as much info as possible. From this page, https://unix.stackexchange.com/questions/9819/how-to-find-out-from-the-logs-what-caused-system-shutdown , I found a way to get logs on why my comp shutsdown: wjnicol@caliban:~$ grep -iv ': starting|kernel: .*: Power Button|watching system buttons|Stopped Cleaning Up|Started Crash recovery kernel' \
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At least for tutorial dataset, we often use 20 cpus and 4 gpus 1080Ti. No such error/crash was observed. I think you can test with a much smaller dataset, e.g. 20 subtomos. I do not know how to interpret those logs. I will inform you when I get some idea. If you can, please let me know your commands to run IsoNet. If you are using GUI, please click print command. |
Hello,
I installed IsoNet no problem and can run all the preparation steps fine either with GUI or command line.
When I try to start the refining step through the GUI nothing happens. When I try through the command line I get an "Illegal Instruction (core dumped)" error (picture attached)
. By googling the error it seems to be a cpu issue.
NVIDIA GeForce GTX 1080 running with NVIDIA drivers 470.63.01
Intel Xeon CPU E5-2687W 3.10GhZ x 16
Ubuntu 20.04
Python 3.8.10
cuDNN v8.2.4 for cuda 11.4
GCC 9.3.0
Cuda 11.4
tensorflow 2.4.0
Thank you for your help,
Best,
William J Nicolas
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