so , it will create a task when i will run it first time

logger.report_scalar("loss-train", "train", iteration=0, value=100)
logger.report_scalar("loss=test", "test", iteration=0, value=200)
notice that the title of the graph is its uniue id, so if you send scalars to with the same "title" they will show on the same graph

Is this u meant?

each subprocess logs one experiment as task

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

def combined(path,exp_name,project_name):
temp = Task.create(task_name="exp_name")

logger = temp.current_logger()
logger.report_scalar()

def main():
task=Task.init(project_name="test")
[pool.apply_async(combined, args = (row['Path'], row['exp_name'], row['project_name'])) for index,row in temp_df.iterrows()]

scheduler = BlockingScheduler()
scheduler.add_job(main, 'interval', seconds=60, max_instances=3)
scheduler.start()

what changes should I make here?

Hi AgitatedDove14 , I wanted to ask you something. Is it possible that we can talk over voice somewhere so that I can explain my problem better?

Are you using tensorboard or do you want to log directly to trains ?

I didn't got it.

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

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

then my combined function create a sub task using Task.create(task_name=exp_name)

i mean all 100 experiments in one project

and that function creates Task and log them

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

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

AgitatedDove14 I want to log directly to trains using logger.report_scalar

like in the sidebar there should be a title called "loss" and under that two different plots should be there named as "train_loss" and "test_loss"

Sure MotionlessSeagull22 DM me 🙂

No. since you are using Pool. there is no need to call task init again. Just call it once before you create the Pool, then when you want to use it, just do task = Task.current_task()

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

okay, Thanks AgitatedDove14 for the help.

like in the above picture

like if u see in above image my project name is abcd18 and under that there are experiments Experiment1, Experiment2 etc.

and then log using logger

Oh I got it.

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

its like main title will be loss