Thanks AgitatedDove14 , I tried setting TEMP environment variable to another directory and it worked! Not sure whether TMP could work too.

It printed "ClearML couldn't detect iterations..." something like this, but the process never ends, just freezes here. I mean I can't run any further commands with this terminal cuz it's running this task, except ctrl+c.

SuccessfulKoala55 I don't think so cuz the files are just small dataframes and the thing is I tried saving those output files on my local machine then created a new task, uploaded them with a new code on .ipynb, and it took less than a minute and everything works fine. (the frozen script is .py)

CostlyOstrich36 Yes, the same thing occurs. version: 1.1.2 for clearml-agent

I didn't call task.execute_remotely() so it didn't push the task to the workers

So, the 1st image (jupyter) is the code I used to create a task and upload the artifact. Then the task was created and I can access it normally with web GUI (like in the 2nd image). But when I click "artifacts" tab, the 404 error page appears (3rd image).

SuccessfulKoala55 I see. Hope it will be added as a new feature in the future version. For me, it's quite important for the organization purpose, especially if the task outputs many artifacts.

SuccessfulKoala55 Sure will do. :)

I have ClearML set up locally. The way to run the task is straightforward: I create the task with Task.init() at the very top of the file, do things (inference, save outputs, etc.), upload outputs with task.upload_artifact(), and then end the script with task.mark_completed().

I see. That's quite handy. Thanks!

SuccessfulKoala55 I am trying to find a way to work around it for the time being. I have 2 requirements: 1) I want to log a custom metric that is computed only at the end of every epoch (unlike other tf metrics which are updated per mini-batch). If I follow the tf doc here, will ClearML log it for me and show on "scalars" tab? https://www.tensorflow.org/tensorboard/scalars_and_keras#logging_custom_scalars 2) It's the same thing as 1) but it's a image instead. https://www.tensorflow.org/te...