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CharmingStarfish14
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5 Questions, 15 Answers
  Active since 10 January 2023
  Last activity 7 months ago

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13 × Eureka!
0 Votes
12 Answers
712 Views
0 Votes 12 Answers 712 Views
Hello. I have an issue I can't seem to debug. Maybe someone knows how to fix it. I have two scripts enque_task.py that schedules a task:... task = clearml.Ta...
one year ago
0 Votes
5 Answers
401 Views
0 Votes 5 Answers 401 Views
Probably found a bug related to storage.verify_upload(uri) working incorrectly with cache clearml.__version__ -> '1.12.2' Scenario 1 import clearml out_ds = ...
8 months ago
0 Votes
2 Answers
371 Views
0 Votes 2 Answers 371 Views
Hey, have anybody tried writing an automated pipeline for automatically linking experiments with Jira issues using tags or task name prefixes? Seems like a c...
7 months ago
0 Votes
2 Answers
619 Views
0 Votes 2 Answers 619 Views
Hello everyone! I encountered a very weird behaviour of report_histogram data = np.random.random(100) # generate 100 values from [0,1] uniform distribution c...
one year ago
0 Votes
2 Answers
853 Views
0 Votes 2 Answers 853 Views
one year ago
0 Hello. I Have An Issue I Can'T Seem To Debug. Maybe Someone Knows How To Fix It. I Have Two Scripts

I guess I can simplify it a little.
Basically there are two scenarios:

on local machine
task = Task.Init(output_uri="...", tags=["tag"])Result: everything works. Remote uri is used, tags are set

on local machine
task = clearml.Task.create(...) clearml.Task.enqueue(task, queue_name=queue)> on remote clearml agent, the same code is called
task = Task.Init(output_uri="...", tags=["tag"])Result: init params are ignored, remote uril is not set, tags are empty

Does it mak...

one year ago
0 Hello. I Have An Issue I Can'T Seem To Debug. Maybe Someone Knows How To Fix It. I Have Two Scripts

@<1523701087100473344:profile|SuccessfulKoala55>

So basically my problem was that I couldn't specify ouput_uri with Task.creaate .

I ended up with a solution to just use CLI version of clearml-task that allows for specifying output_uri (but not tags, though).

one year ago
0 Probably Found A Bug Related To

Looks like opening a dataset that is stored on gcp bucket and then trying to create another dataset on the same bucket creates issues.

Maybe there is a hotfix to reset clearml storage manager cache in the middle of the script?

8 months ago
0 Probably Found A Bug Related To
Error:
---------------------------------------------------------------------------
NotFound                                  Traceback (most recent call last)
Cell In[1], line 3
      1 import clearml
      2 ds = clearml.Dataset.get("1a607bbeb31b4e2c8033112950827d8e")
----> 3 out_ds = clearml.Dataset.create(
      4     dataset_project="test",
      5     dataset_name=f"test",
      6     output_uri="
",
      7 )

File ~/miniconda3/envs/vfm38/lib/python3.8/site-packages/cl...
8 months ago
0 "Clearml.Task - Error - Action Failed <500/0: Tasks.Edit/V1.0 (Update Failed (Bsonobj Size: 18330801 (0X117B4B1) Is Invalid. Size Must Be Between 0 And 16793600(16Mb) F"

AgitatedDove14
Hello, Martin. Any news about this issue?

We really want to use ClearML for datasets that are hundreds GB worth of data.

Are you saying the ClearML is not able to do that?

one year ago
0 Probably Found A Bug Related To

Oh. I just tested it in the new version, it really works now. Thank you very much!

8 months ago
0 Probably Found A Bug Related To

Sorry for reporting a bug without testing on the newest version

8 months ago
0 Hey, Have Anybody Tried Writing An Automated Pipeline For Automatically Linking Experiments With Jira Issues Using Tags Or Task Name Prefixes? Seems Like A Cool Feature To Have.

I think the more general solution would be creating integration with Zapier.

This way user would be able to customize his own triggers for events like "on experiment status changed", "on tag added" and so on

The first automation I would write for myself would probably be "on tag added" -> "if tag in Jira ids" -> "reference the experiment URL in Jira issue"

7 months ago
0 Hello. I Have An Issue I Can'T Seem To Debug. Maybe Someone Knows How To Fix It. I Have Two Scripts

CostlyOstrich36 It seems to be a critical bug.

Do you happen to know a support channel, that can help with that?

one year ago
0 Hello. I Have An Issue I Can'T Seem To Debug. Maybe Someone Knows How To Fix It. I Have Two Scripts

UPD: it doesn't solve anything 😞
This approach just creates a separate task corresponding to enque_task.py script. But the task that is being run on clearml agent still ignored outpur_uri 😞

one year ago
0 Hello. I Have An Issue I Can'T Seem To Debug. Maybe Someone Knows How To Fix It. I Have Two Scripts

I figured the problem.

Reason:
If you create a clearml task and put it into queue, all further Task.init call arguments from clearml worker will be ignored.

Solution:
enque_task.py
task = clearml.Task.create(...) task.init(remote_uri=..., tags=...) clearml.Task.enqueue(task, queue_name=queue)
train.py
task = Task.Init(<whatever, all this args will be ignored>)

one year ago
0 Hello. I Have An Issue I Can'T Seem To Debug. Maybe Someone Knows How To Fix It. I Have Two Scripts

y. In the second case you run a script that creates a task with

Task.create()

which creates a draft task with execution parameters, output uri etc (Nothing in configuration I assume? Please check

In the second case I only call Task.create , that specifies docker, repository, commit, script path and so on (but doesn't specify output_uri or tags . They should be set in train.py , when the Task.Init is called).

Afterwards on the remote ma...

one year ago
0 Hello Everyone! I Encountered A Very Weird Behaviour Of

clearml package version: '1.8.3'

one year ago