I would suggest opening dev tools (F12) and then filtering in the UI and see what is sent there
Please add it as a code snippet.
Hi PerplexedElk26 , It seems you are correct. This capability will be added in the next version of the server.
I think there might be more configurations to control the amount of API calls you're making.
Hi RoughTiger69 , you can specify a queue per step with execution_queue
parameter in add_function_step
https://clear.ml/docs/latest/docs/references/sdk/automation_controller_pipelinecontroller
Same goes for the docker image - docker
parameter add_function_step
Hi @<1544853688374267904:profile|ResponsiveAnt93> , what do you mean by can't download packages? Usually the agent will try to get the version specified in the 'installed packages' section. If no version is specified it will try to download the latest available.
Is it possible you're running an OS that doesn't support high package versions?
Hi @<1600661428556009472:profile|HighCoyote66> , the UI uses the same REST API to communicate with the backend. I would suggest opening developer tools (F12) and seeing what requests are being sent in the network tab. I think it might be auth.login
RoughTiger69 , do you have a rough estimate on the size that breaks it?
Hi @<1537605927430000640:profile|NarrowSquirrel61> , how did you report the audio/image files?
AdventurousButterfly15 , please upgrade to the latest agent version to see if this continues
Hi, regarding your questions:
If you create and finalize the dataset, it should upload the file contents to the fileserver (or any other storage you configure). The dataset is an object similar to a task - it has a unique ID You can add metric columns to the experiments table. You can do this by clicking the little cog wheel at the top right of the experiments table. You can also select multiple experiments and compare them (Bottom left on the bar that appears after selecting more than 1 expe...
the experiments themselves 🙂
Imagine if you have very large diffs or very large (several mb) configuration files logged into the system - this is sitting somewhere in the backend on a database
Hi @<1529633468214939648:profile|CostlyElephant1> , it looks like thats the environment setup. Can you share the full log?
Hi @<1533257411639382016:profile|RobustRat47> , what would you define as most metrics?
Hi @<1618780810947596288:profile|ExuberantLion50> , do you have any sample code that reproduces this issue?
Hi @<1585078763312386048:profile|ArrogantButterfly10> , I think you're having an issue with your docker... The error comes from docker not from ClearML
ReassuredTiger98 , nothing CLI based but you can do it programmatically via the API quite easily.
Also, what happens if you do clearml-data delete --id <TASK_ID>
? It's a bet but it could actually work as well 🙂
Hi ScantChimpanzee51 , can you please add a screenshot of how it looks? What OS are you running on?
Or are you trying to change something in the docker compose?
Try adding the following to your Task.init()
task = Task.init(project_name='<PROJECT_NAME>', task_name='<TASK_NAME>', output_uri=True)
Another option that will solve the issue as well is editing your ~/clearml.conf
and changing the following section sdk.development.default_output_uri
to point to your fileserver/hosting
Hi @<1547752799075307520:profile|ZippyCamel28> , to address your points
- What do you mean by 'reload'?
- You need to go into the project and archive the experiments in order to delete the project + experiments in the archive
- There are some configurations you can play with to report 'less' metrics. For example
sdk.metrics.plot_max_num_digits
You should read here - None . To get an idea of the size of an experiment think of an...
What command are you trying to run?
Hi SuperiorCockroach75 , yes you should be able to run it on a local setup as well 🙂
Hi @<1523701122311655424:profile|VexedElephant56> , is it a custom image? Can you go exec into the docker to verify that it is indeed installed?
Hi @<1556812486840160256:profile|SuccessfulRaven86> , can you please add an example configuration that reproduces this?
Hi SkinnyPanda43 ,
Can you please add a log of the failure? I think if you add specific requirements manually it should override auto detection
Hi @<1533620191232004096:profile|NuttyLobster9> , first, you can insert it using the bash startup script.
Also, I think you can add this repo to the requirements using the following format:
git+
You do need to run your agents in docker mode. You can do that using the --docker
argument