CostlyOstrich36 Yes, I read this at documentation and tried it. But when I use "True" It changes path from " None ...." to " None ..." It's very strange behavior

How were you saving the model with pytorch?

I'm currently unsure about the correct approach. Would you kindly review my attempts and point out where I might have made a mistake? Here's what I've tried:

1. I've added the default url in agent helm chart

    clearml:
      ...
      clearmlConfig: |-
       sdk {
         development {
           default_output_uri: "

"
          }
       }

2. I've added url in agent section:

    agentk8sglue:
      ...
      fileServerUrlReference: 

3. In the Python file, when using Task.init, I've tried the 'output_uri' key argument with both 'True' and the file server URL ' None '.

Hi CostlyOstrich36 , I tried this, but It doesn't work, should it be fileserver url?

Ok, maybe someone knows: how does a pod created by a K8s agent know the model registry URL? When I added the output_uri parameter in the Task, like output_uri=" None ", it doesn't show anything now. Previously, without this parameter, it showed a path like " None ...." in WebUI->Experiments->Artifacts

Are you sure the files server is correctly configured on the pods ?

I run code from pod created by agent and model has been uploaded. But when task was started by agent command it doesn't upload) Magic

'True' should point to the files server

Ok, I found out that using scikit-learn the model is uploading, but pytorch doesn't.

So when you do torch.save() it doesn't save the model?

Ok, guys, I done it, by manually uploading model.
task = Task.init(project_name='test', task_name='PyTorch MNIST train filserver dataset')
output_model = OutputModel(task=task, framework="PyTorch")
output_model.set_upload_destination(uri=" None ")
tmp_dir = os.path.join(gettempdir(), " mnist_cnn.pt ")
torch.save(model.state_dict(), tmp_dir)
output_model.update_weights(weights_filename=tmp_dir)

Pod easily can download dataset, upload to fileserver logs, but can't upload model 😀

I didn't save it in any way. I relied on the auto-save from Clearml

Hi DisturbedLizard6 , you can use the output_uri parameter of Task.init() to specify where to upload models.
None

Hi 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 torch are you using?