Unable to determine the device handle for GPU 0000:01:00.0: GPU is lost. Reboot the system to recover this GPU ... I feel I am close but at a dead end. ... Thanks @bytchslappa for the heads up. Everyone using a User Script for Nvidia GPU Power State just edit the script to: #!/bin/bash nvidia-persistenced fuser -v /dev/nvidia* and leave the s ...
Which will spawn do_something () within the DaemonContext and then the script mydaemon.py will exit. You can see the running daemon with: pgrep -fl mydaemon.py. This short example will simply log errors to a log file in /tmp/mydaemon.log. You'll need to kill the daemon manually or it will run indefinitely.
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Fall crochet table runner patterns
One thing I have learned during my time here in the matrix is that users often find new bugs to be significantly more annoying than existing ones; trading an existing bug for a new one is often seen as a big step backward, even if the new bug isn't that bad. I think this is just human nature - we get used to things - it's what humans do - and this takes the sting off of some bugs ...
Terminating the GPU process will call any sync calls to complete (with an error) and the parent process will be able to recover. We could also have a timeout for PCompositorBridge messages, when the GPU process is enabled. That's a much easier patch to write if we want something soon.
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Inspur's model is called Yuan 1.0 and produces text in Chinese. The builder says the model can handle 245.7 billion parameters (GPT-3 can deal with 175 billion) can pass a Turing test, and beat humans at an idiom reading comprehension task. Yuan 1.0 can also fool most of the people most of the time.