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StaleMole4
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3 Questions, 7 Answers
  Active since 10 January 2023
  Last activity one year ago

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7 × Eureka!
0 Votes
6 Answers
936 Views
0 Votes 6 Answers 936 Views
Hi, I am trying to using ClearML agent version 0.16 ("trains_agent"), and I always get a silent exit after starting task execution: > Environment setup compl...
3 years ago
0 Votes
5 Answers
1K Views
0 Votes 5 Answers 1K Views
Hello, When I create a task on a new server I use, the task fails to auto detect the working directory and the repository, as in the attached image. Conseque...
2 years ago
0 Votes
3 Answers
957 Views
0 Votes 3 Answers 957 Views
Hello, Is there some way to use clearml with "spawn" multiprocessing? By "spawn" multiprocessing I refer to: import multiprocessing as mp mp.set_start_method...
3 years ago
0 Hi, I Am Trying To Using Clearml Agent Version 0.16 ("Trains_Agent"), And I Always Get A Silent Exit After Starting Task Execution:

For debug purposes, in main:
if __name__ == "__main__": prms = enqueue_task({}, "Test task", Task.TaskTypes.custom) print(prms) print("Finished main")And the "print" gets ignored in the enqueued task

3 years ago
0 Hi, I Am Trying To Using Clearml Agent Version 0.16 ("Trains_Agent"), And I Always Get A Silent Exit After Starting Task Execution:

Hi SuccessfulKoala55 , thanks for the quick reply!

This is a stand-alone code, that creates a task, clones it, and enqueues the cloned task:
` def enqueue_task(trains_prms, task_name, task_type):

# Connect to trains
task = Task.init("OMD", task_name='Temp controller for ' + task_name, task_type=task_type) # , task_type=Task.TaskTypes.controller

# Select queue
trains_queue = "cpu_queue"

# Connect parameters
assert "is_controller_run" not in trains_prms
trains_p...
3 years ago
0 Hello, Is There Some Way To Use Clearml With "Spawn" Multiprocessing? By "Spawn" Multiprocessing I Refer To:

Thanks for the quick reply!
Indeed, it works!
Thanks a lot 🙂

3 years ago
0 Hi, I Am Trying To Using Clearml Agent Version 0.16 ("Trains_Agent"), And I Always Get A Silent Exit After Starting Task Execution:

It appears to be working now (though I'm still debugging).
Setting the conda environment directly appeared to have solved it:
task.set_base_docker(conda_env)

3 years ago
0 Hello, When I Create A Task On A New Server I Use, The Task Fails To Auto Detect The Working Directory And The Repository, As In The Attached Image. Consequently, I Cannot Run The Task In Clearml Agent, Getting "

Yes!

Thanks Martin.

As you said, changing the order indeed resulted in a working code snippet that correctly identifies the working directory.

From there, it was easy to debug and solve the actual problem.

Thanks!

2 years ago