See on line 212 I am calling one function "combined" with some arguments

I didn't got it.

Just call the Task.init before you create the subprocess, that's it 🙂 they will all automatically log to the same Task. You can also call the Task.init again from within the subprocess task, it will not create a new experiment but use the main process experiment.

I will share my script u can see it what I am doing

You can do:
task = Task.get_task(task_id='uuid_of_experiment')
task.get_logger().report_scalar(...)

Now the only question is who will create the initial Task, so that the others can report to it. Do you have like a "master" process ?

but what is happening is it is creating new task under same project with same task name

and it should log it into the same task and same project

now after 1st iteration is completed then after 5 minutes my script runs automatically and then again it logs into trains server

so what I have done is rather than reading sequentially I am reading those experiments through multiprocessing and for each experiment I am creating new task with specified project_name and task_name

I have 100 experiments and I have to log them and update those experiments every 5 minutes

Sure

I have one more question?

okay, Thanks @<1523701205467926528:profile|AgitatedDove14> for the help.

Can my request be made as new feature so that we can tag same type of graphs under one main tag

Sure, open a Git Issue :)

You can always click on the name of the series and remove it for display.
Why would you need three graphs?

"validate

and under that there will be three graphs with title as train test and loss

its like main title will be loss

What do you mean by "tag" / "sub-tags"?

so, like if validation loss appears then there will be three sub-tags under one main tag loss

Can my request be made as new feature so that we can tag same type of graphs under one main tag

@<1523720500038078464:profile|MotionlessSeagull22> you cannot have two graphs with the same title, the left side panel presents graph titles. That means that you cannot have a title=loss series=train & title=loss series=test on two diff graphs, they will always be displayed on the same graph.
That said, when comparing experiments, all graph pairs (i.e. title+series) will be displayed as a single graph, where the diff series are the experiments.

yes But i want two graphs with title as train loss and test loss and they should be under main category "loss"

This code will give you one graph titled "loss" with two series: (1) trains (2) loss

This code gives me the graph that I displayed above

make sense ?

logger.report_scalar(title="loss", series="train", iteration=0, value=100)
logger.report_scalar(title="loss", series="test", iteration=0, value=200)

In the side bar you get the title of the graphs, then when you click on them you can see the diff series on the graphs themselves

so I want loss should be my main title and I want two different graphs of train and test loss under that loss

Like here in the sidebar I am getting three different plots named as loss, train_loss and test_loss