Martin.B

@dcarrion87 just to be sure I understand, only when running the `clearml-agent` With `--privileged` the issue exists (because without privileged, inside the docker the visible devices are only the ones...

Hi @iirekm get/set parameters are kind of API level access (hence lack of type/casting). A preferred way would be do to the following: ```python params = dict(abc=123) task.connect(params) ``` This...

Thank you for the update @johnml1135 ! Is there a take-way for `clearml` here ?

> ClearML configuring poetry to use the old installer > `poetry config experimental.new-installer false` You could add this to the `clearml.conf` file to set it in runtime, wdyt? ``` agent.extra_docker_shell_script:...

Hi @H4dr1en , You can already configure it in the `trains.conf` file (see [here](https://github.com/allegroai/trains-agent/blob/121dec2a62022ddcbb0478ded467a7260cb60195/docs/trains.conf#L50)), which will also work in virtual-env mode. You mean to actually add the `--install-globally` to the...

@iirekm just adding a bit of details. the `executed_remotely` call will actually wait fro the repository detection, and will do the enqueuing for you (as I think you already realized)....

@iirekm take a look at this [one](https://github.com/allegroai/trains/issues/230#issuecomment-723503146) it might help ? (Basically create a Task from a function at runtime, I "think" this is what you are after?!)

Hi @bomri Seems like a quoting issue running nvidia-docker, see [here](https://github.com/NVIDIA/nvidia-docker/issues/1026) What is the OS / docker / nvidia drivers you have on the machine running the `trains-agent`? Could you...

Hi @majdzr Yes, by default `trains-agent` will tell you there is already an agent with the same name/gpu, which makes sense as sharing GPU is risky. Basically the compute resource...

Hi @hanifa2102 I think if we introduce instance limit, this will infer the priority of the jobs. Basically as jobs are pulled by order, they are pushed into the k8s,...