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Hello All, I'M Trying To Adapt Clearml With My Workflow. I Installed A Server At My Server, With Workers Attached To It. I'M Trying To Execute A Task From My Local Within One Of My Workers. Trying To Use Docker Mode And A Custom Image. I Also Have A Local

Hello all, I'm trying to adapt clearml with my workflow. I installed a server at my server, with workers attached to it. I'm trying to execute a task from my local within one of my workers. Trying to use docker mode and a custom image. I also have a local gitlab server, so trying to pull the code from there and run it. Here is how I run it:
` from clearml import Task

task = Task.create(
project_name="deneme",
task_name="git deneme",
packages=["protobuf==3.20.0"],
docker="my_image",
add_task_init_call=True,
script="train.py",
)

Task.enqueue(task, "low_mem") `When I try to enqueue the code, it detects the git repo, pulls the code from the local gitlab server, sets up environment and just stops. Here's how last 4 line of the output look like:

Environment setup completed successfully Starting Task Execution: ClearML results page: 2022-06-13 18:00:37 Process completed successfullyAs you can see, the task labels itself as completed and shuts down. However, when I try to bind a volume and run the code, everything runs perfectly. Where did I go wrong?

  
  
Posted one year ago
Votes Newest

Answers 18


However, this one should be a feature to work on, and should be fairly easy to implement.

Feel free to add as GitHub issue 🙂
Main challenge is understanding what needs to be added as "uncommitted changes"

  
  
Posted one year ago

AgitatedDove14 AFAIK, ClearML sends the git repo, branch and commit id IF the a git repo is present at the working directory, without needing me to specify it. When it does send those information, clearml agent tries to pull the repo with the specified branch and commit id, and the project goes on after that. This is what I meant by mentioning "git integration". If a git repo is not present at the working directory, clearml agent just bypasses the "pulling the repo" part, as there is none specified. Instead, it uploads my script only.

Oddly, clearml agent is unable to run the script if a git repo is present and marks the experiment as complete instantly. If a git repo is not present, it runs the script perfectly as intended.

  
  
Posted one year ago

AgitatedDove14 I have a training job, very similar to this one: https://clearml.slack.com/archives/CTK20V944/p1654606983176539?thread_ts=1654604976.568279&cid=CTK20V944

  
  
Posted one year ago

ZanyPig66 it sounds like you need to add the docker args for binding, just add to the Task.create the argument: 'docker_args="-v /mnt/host:/mnt/container"'

  
  
Posted one year ago

Can you also try specifying the branch/commit?

  
  
Posted one year ago

AgitatedDove14 To elaborate, the code below does not work with git integration activated.

` from clearml import Task

task = Task.create(
project_name="deneme",
task_name="git deneme",
packages=["protobuf==3.20.0"],
docker="databossds/easyvision",
docker_args="-v /home/user/awesome_dir:/workspace",
add_task_init_call=True,
script="train.py",
)

Task.enqueue(task, "default") `
However, the very same code does work WITHOUT git integration activated.

  
  
Posted one year ago

ZanyPig66 what do you mean with "git integration " ? So what would be two ways of calling the function, where one works and the other does not?

  
  
Posted one year ago

Ohh yes, if the execution script is not on git and git exists, it will not add it (it will add it if it is in a tracked file via the uncommitted changes section)
ZanyPig66 in order to expand the support to your case. Can you explain exactly which files are on git and which are not?

  
  
Posted one year ago

Okay, after lots of trials and failures, I found that the execution script should be on git too. The changes are being sent by clearml automatically, but the files that do not exist within the repo are apparently are not being sent. This is somehow counter-intuitive.

  
  
Posted one year ago

The driver script (the one initializes models and initializes a training sequence) was not at git repo and besides that one, everything is.

Yes there is an issue when you have both git repo and totally uncommitted file, since clearml can store either standalone script or a git repository, the mix of the two is not actually supported. Does that make sense ?

  
  
Posted one year ago

However, when I try to bind a volume and run the code, everything runs perfectly.

Can you please elaborate on what this means?

  
  
Posted one year ago

As soon as I launch the job with git, the task marks itself as completed without launching the actual job, even if I mount the volume as I do without git.

  
  
Posted one year ago

AgitatedDove14 CostlyOstrich36 That was exactly what I was doing ( docker_args="-v /mnt/host:/mnt/container ).

  
  
Posted one year ago

AgitatedDove14 And I'm sending the job via the specified code at the beginning of this thread.

  
  
Posted one year ago

ZanyPig66 this should have worked, any chance you can send the full execution log (in the UI "results -> console" download full log) and attach it here? (you can also DM it so it is not public)

  
  
Posted one year ago

AgitatedDove14 Sorry for the very late response. The driver script (the one initializes models and initializes a training sequence) was not at git repo and besides that one, everything is.

  
  
Posted one year ago

AgitatedDove14 Certainly! This completely aligns with my observations. However, this one should be a feature to work on, and should be fairly easy to implement.

  
  
Posted one year ago

ZanyPig66 you are correct in your assumptions. What exactly do you have in the Task? If there is no git repo the entire script should be under "uncommitted changes. What is your case?

  
  
Posted one year ago
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