Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
Dear Team - I Have Some Gui Related Requests / Questions:

Dear Team - I have some gui related requests / questions:
Currently I see scalar graphs Group by either None or Metric. Is it possible to have custom grouping? If I use metric - it groups by the metric group i have in tensorboard, I really want to group only two graphs with the same title (I have accumulated miou , accumulated AUC , accumulated test visualize: miou , accumulated test visualize: AUC - currently I can either group all of them or each one by it own. I want to group the train and test ones together) When I use continue_last_task using sagemaker, I get spot termination, and then when it is up again, it starts a new task. How can I make it continue the last task? (task name is the same)

  
  
Posted 2 years ago
Votes Newest

Answers 16


Regarding 2. Again - can a task id be changed after it was created?

  
  
Posted 2 years ago

BoredPigeon26 , Please try the following setting in your ~/clearml.conf
sdk.metrics.tensorboard_single_series_per_graph: true and see if it helps 🙂

  
  
Posted 2 years ago

As for 1-
They all start with the same name space - since TB then showing them in a nicer view.
with tf.name_scope("accumulated"): for metric in self.metrics: tf.summary.scalar(metric.name, metric.result(), step=step)I want to group them by metric.name, and they are all grouped by the name_scope

  
  
Posted 2 years ago

Run them manually, but it is not that important

  
  
Posted 2 years ago

BoredPigeon26 , Hi 🙂

Basically 'group' is based on the "title" of the graph, when TB is autoconnected, this is the first section before the '/' meaning, reporting "my graph title/series" allows to group by "my graph title". How are you reporting the metrics on TB ? Somehow (I'm not sure how with Sagemaker) you have to pass the previously used Task ID, so clearml will know which Task we are continuing Any idea how you could pass this information ? maybe store something on the sagemaker job?

  
  
Posted 2 years ago

Regarding the scalar visualization - If you have other solution, it will be nice to try

  
  
Posted 2 years ago

BoredPigeon26 , regarding 2, no I'm afraid not since the task ID is the unique task identifier

  
  
Posted 2 years ago

CostlyOstrich36 It splits the data not in the way I intended.
It have the 4 metrics of train in the same graph,
and the 4 metrics of test in the same graph.

  
  
Posted 2 years ago

  1. This could work.
  
  
Posted 2 years ago

It's the ~/clearml.conf on the side of the agent/clearml that runs the script 🙂

  
  
Posted 2 years ago

Regarding 1, can you name them yourself somehow and thus get the wanted result?

  
  
Posted 2 years ago

CostlyOstrich36 - I don't want to change the TB behavior.
How can I check what is the "title" I guess I have multiple "/" separating "tf.name_scope", "metric.name", and something like summary_name.
TB knows to put all graphs from the same scope in the same section, in that section it has a graph for each "metric.name", and in the graph it have a series for each summary_name.

I guess I can change the scope name to be the metric name, and abandon all the scoping. But it is very useful to me to separate the metrics from the losses, from other outputs.

  
  
Posted 2 years ago

BoredPigeon26 , do you run them manually or with the agent? If you run manually then I'm afraid it doesn't show the config currently. However if you run with the agent, then it will also print out the entire config (excluding the secrets, of course) at the start of the run and it will be shown in the console output in the UI 🙂

Or do you mean the different parameters you've changed about in the task itself?

  
  
Posted 2 years ago

My question was is can I see the ~/clearml.conf in the web view. If I run two experiments with different config, where can I see it? It is less important now, I didn't see any changes since it didn't get to the test phase yet.

  
  
Posted 2 years ago

BoredPigeon26 , what do you mean in the server view?

  
  
Posted 2 years ago

Can I see the clearml.conf in the server view?
I think I changed it in the right place, but I don't see it in the graph.

  
  
Posted 2 years ago
612 Views
16 Answers
2 years ago
one year ago
Tags