The model is only getting saved locally

and I'm plotting the losses like this

Nvm. I did it.

I am not using any environments. I am running training on a docker container using a sh file but clearml is installed on my PC locally and the docker container does not have access to the clearml server that is deployed locally on my PC.

I moved my conf file inside the docker container and edited the paths from localhost to my PC's IP address and it worked

Just locally but it is saved fine

I have used a output_uri argument in my Task initialization for storing my models

It was getting logged when I was running it as an individual task but it is not getting logged in the pipeline. I was plotting loss graphs too but now they're not getting plotted.

My models are not getting saved in the .pipeline folder. They are not getting saved in the output_uri specified in the Task.init as well.

I haven't pointed it to the file server because I'm running a locally deployed docker instance of ClearML

Do I have to run a task individually completely for it to function properly in a pipeline?

This is how I am defining the task in the code

I got this message when the training started and it is only saving the model locally

Not on the NAS storage but on my PC where the training is running