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Answered
, This Is A Great Tool For Visualizing All Your Experiments. I Wanted To Know That When I Am Logging Scalar Plots With Title As Train Loss And Test Loss They Are Getting Diplayed As Train Loss And Test Loss In The Scalar Tab. I Wanted That The Title Shoul

@<1523701205467926528:profile|AgitatedDove14> , this is a great tool for visualizing all your experiments. I wanted to know that when I am logging scalar plots with title as train loss and test loss they are getting diplayed as train loss and test loss in the scalar tab.
I wanted that the title should be loss and under that I should get these two differnet graphs train loss and test loss. Is this possible?
image

  
  
Posted 5 years ago
Votes Newest

Answers 68


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

  
  
Posted 5 years ago

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

  
  
Posted 5 years ago

Is this u meant?

  
  
Posted 5 years ago

Before this line, call Task.init

  
  
Posted 5 years ago

i mean all 100 experiments in one project

  
  
Posted 5 years ago

@<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.

  
  
Posted 5 years ago

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

  
  
Posted 5 years ago

"validate

  
  
Posted 5 years ago

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

  
  
Posted 5 years ago

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

  
  
Posted 5 years ago

Oh I got it.

  
  
Posted 5 years ago

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

  
  
Posted 5 years ago

image

  
  
Posted 5 years ago

yes

  
  
Posted 5 years ago

If you one each "main" process as a single experiment, just don't call Task.init in the scheduler

  
  
Posted 5 years ago

So you want these two on two different graphs ?

  
  
Posted 5 years ago

then if there are 100 experiments how it will create 100 tasks?

  
  
Posted 5 years ago

so, if I call Task.init() before that line there is no need of calling Task.init() on line number 92

  
  
Posted 5 years ago

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

  
  
Posted 5 years ago

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 ?

  
  
Posted 5 years ago

then if there are 10 experiments then I have to call Task.create() for those 10 experiments

  
  
Posted 5 years ago

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

  
  
Posted 5 years ago

I have one more question?

  
  
Posted 5 years ago

And you want all of them to log into the same experiment ? or do you want an experiment per 60sec (i.e. like the scheduler)

  
  
Posted 5 years ago

Sure

  
  
Posted 5 years ago

what changes should I make here?

  
  
Posted 5 years ago

I have to create a main task for example named as main

  
  
Posted 5 years ago

and that function creates Task and log them

  
  
Posted 5 years ago

but this gives the results in the same graph

  
  
Posted 5 years ago

like in the above picture

  
  
Posted 5 years ago
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