This is the figure shown in clearml:

CostlyOstrich36 Yes, I see all these files as models in the UI. These files are the data for training my model. I want to mute all these messages.

Thanks CostlyOstrich36 . As I understand, I should set is to False , right?

I don't do anything beside registering the clearML logger. After the logger is registered, I just plot my histogram using matplotlib

AlertBlackbird30 Hi, yes, I attach here the screen shots of the results

Ok. This should be the same graph which is automatically logged to clearml after plotting with matplotlib

This is ok, but the histogram is warped. Looks like the axis are switched or something

However, this works perfectly with other plots, but not with histograms

The figure saved with matplotlib looks like this:

For example, I plot this using the same data:

AgitatedDove14 No, look at this:

AgitatedDove14 I'm looking for something else. Basically, I want to compare the accuracy with respect to another variable. I can get the accuracy of each experiment (see picture). Additionally, I can log the other variable (name it T) and show it as a scalar per experiment. However, I don't see an option How I can simply plot the graph of accuracy versus T, which is different for every experiment. The solution that loops thru all tasks might work anyway.

AgitatedDove14 That would work ofcourse. I wonder what is the best practice to do such things because comparing experiments using graphs is very useful. I think it is a nice to have feature.

AgitatedDove14 Hey, I just reproduce this. Whenever it happens, I also get a warning from torchvision:
/home/koe1tv/anaconda3/envs/torch/lib/python3.7/site-packages/torchvision/io/video.py:105: UserWarning: The pts_unit 'pts' gives wrong results and will be removed in a follow-up version. Please use pts_unit 'sec'.Unfortunately, I can't suppress this warning because I don't have access to the parameter mentioned in the warning.

For example, here are the two last log lines from my process:
2020-09-11 18:34:50 /home/koe1tv/anaconda3/envs/torch/lib/python3.7/site-packages/torchvision/io/video.py:105: UserWarning: The pts_unit 'pts' gives wrong results and will be removed in a follow-up version. Please use pts_unit 'sec'.--
2020-09-11 18:34:52 2020-09-11 08:34:52,109 - trains.Task - WARNING - ### TASK STOPPED - USER ABORTED - STATUS CHANGED ###

Thanks for your support. My OS is Ubuntu 18.04.5 LTS and the trains version is 0.16.0. I can't run this code right now as my machine runs some other heavy stuff right now, but I'll try reproducing this as soon as It finishes

Probably not

AgitatedDove14 Updated the Trains version to the mentioned version but it still stops. Regarding exceptions from subprocesses, torchvision doesn't show me any exception that I can handle.

by "disable the logger" I mean not using trains at all, just in order to make sure the process doesn't stop by itself.

The clearml plot looks like this:

Hey SuccessfulKoala55 thanks for your reply. I pasted:

~/trains.conf
api { web_server: http://** api_server: http://** files_server: http://** credentials { "access_key" = ** "secret_key" = ** } }Censored the addresses and the keys 😄