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CUDA error causes the micp_localization node to die #2
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The complete configuration file for referencing: base_frame: base_link sensors: |
I changed the CUDA-toolkit version from 12.6 to 11.8 and the issue dissappeard. |
Hi @Mh-Magdy, thanks for testing. However, that's weird. Normally, it should run with any cuda version. So I would say it's still an issue. So I will reopen it as a reminder for me to check this. Could you give me some more info about your setup that you used?
With this I think I could reproduce the error and hopefully fix it soon. (Or someone else) |
Hiii @amock 👋
There are another minor issues that faced me recently after the update, i will report them to you in more details but i will give you a hint about them now: When i perform some edits on the sensor parameters for example changing the number of horizontal samples to match my real sensor (theta_inc, theta_N) if backed is optix the package fails to run and if i change it to embree it works fine. I will capture any issues like these and give you details on the issue and my environment/setup as well as the config to help you reproduce the errors. Thank you Alexander |
Hi @Mh-Magdy, I have finally found some time to deal with your issue. First I tried to resemble your setup:
In the first terminal I started the example simulation by executing: roslaunch rmcl_example start_robot.launch then I changed the roslaunch rmcl_example rmcl_micp.launch In the RViz window I set an initial pose guess and everything went fine. So unfortunately, I could not reproduce the error you described. Could you maybe try the exact same procedure on your system? Otherwise I am not sure what is wrong on your system :/ Perhaps you could also check if rmagine alone is working. There are some benchmark executables in it. Or perhaps you could check if CUDA is working for other projects. Best |
First of all thank you for this great package and the amazing work.
I'm running micp node with combining unit = cpu and backed optix and everything is OK. I changed the combining unit to gpu i got the following error:
I edited it back to cpu and i got the same error, also changed the backend to embree same error :(
could you help me please to skip this error?
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