Hi @<1747066118549278720:profile|WhoppingToad71> , can you share the use case? You want to upload the file to some storage? Or upload to a task?
Hi @<1742355077231808512:profile|DisturbedLizard6> ,
Currently, only argparse arguments are supported for clearml-task
, click is also support, but for now, with the python sdk.
Hi @<1742355077231808512:profile|DisturbedLizard6> , not sure I get that, did you use torch.save
(like in here ) or some other command to save the models? When running with the clearml-agent.
you have a print of all the configurations at the beginning of the log, can you verify your values are as you configure it?
Additionally, which version of clearml
, clearml-agent
and `...
With the API you can register an artifact to a task, but the upload will be done separately with the ClearML sdk (the sdk wrap the registration and upload, with some other things inside the upload_artifact
function).
Hi @<1669152726245707776:profile|ManiacalParrot65> ,
Yes, you can wrap the separate function with a decorator so the function will run as a separate step in the pipeline, and even can cache the step for multi runs.
You can also add the function without a decorator, as a step to the pipeline with PipelineController.add_function_step()
.
You can read about it [here](https://clear.ml/docs/latest/docs/pip...
Hi @<1577468611524562944:profile|MagnificentBear85>
Thank you for bringing this up! We’re always excited to see contributions from the community, especially around areas like hyperparameter configuration. We’d be happy to consider a PR if you’re open to working on it! Our team encourages contributions 🙂
Did you check the relevant examples from our docs?
None
[None](https://c...
Can I suggest using the sdk? It will do both, log it to the task and will upload it to any storage wanted, like in this example