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33 × Eureka!I tried to run this command but still the same
do I need to change USER (with my device name) or it is a keyword
Is it related to the python versions? When I run the same code on my first device through clearML to the agent it works fine (the version of the first device is 3.10.6) but I think it is not related to the version
I am trying to access the dataset by the below code
I am storing it here by the below code
where to find it?
ok it works thank you
is it normal that it's slower than my device even though the agent is much more powerful than my device? or because it is just a simple code
i run the code again then enqueue the task and for now it takes more than 5 min and still pending in the queue, I will see when it will run 😓
I posted another question if anyone is free to help and thanks a lot for you all for your kind help
thanks alot it run successfully
Yes I mean the python packages, I would prefer to have all the installation once and if a new package is used just to install the new package not every time the same packages get installed many times.
how to put or handle this configuration and where?
so how to get the path for the file itself not all the files? 😓
I don't understand what you mean by that
after installing nbconvert
all the code is visible on the uncommitted changed
I run it in my local device on vs code
No thing in the uncommitted changes
I am running this part of code
so for example if there was an idle GPU and Q3 take it and then there is a task comes to Q2 which we specified 3GPU but now the Q3 is taken some of these GPU what will happen
yes Just i want to make sure it will work as intended so just queue 3 will take any idle GPU when there is a task to pull if there is no idle GPU will be 2 GPUs only
I am running the agent by (clearml-agent daemon) so I thing it is running using virtual environment mode not docker
ok the problem solved by "pip install virtualenv" on the agent 😁