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Answered
What Sort Of Integration Is Possible With Clearml And Sagemaker? On The Page

What sort of integration is possible with ClearML and SageMaker? On the page describing ClearML Remote it says:

Create a remote development environment (e.g. AWS SageMaker, GCP CoLab, etc.) on any on-prem machine or any cloud.

But the only mention of SageMaker I see in the docs is the release notes for 0.13 saying "Add support for SageMaker".

I have SageMaker Studio up and running with access to my ClearML server and it's successfully able to log plots and scalars from experiments, but in terms of code it just logs the code used to launch the kernel:

"""Entry point for launching an IPython kernel.
This is separate from the ipykernel package so we can avoid doing imports until
after removing the cwd from sys.path.
"""
import sys

if __name__ == '__main__':
    # Remove the CWD from sys.path while we load stuff.
    # This is added back by InteractiveShellApp.init_path()
    if sys.path[0] == '':
        del sys.path[0]
    from ipykernel import kernelapp as app
    app.launch_new_instance()

Is it possible to capture more than that while using SageMaker?

  
  
Posted one year ago
Votes Newest

Answers 77


local Jupyter Lab:
image
image
image

  
  
Posted one year ago

poking around a little bit, and clearml.backend_interface.task.repo.scriptinfo.ScriptInfo._get_jupyter_notebook_filename() returns None

  
  
Posted one year ago

image

  
  
Posted one year ago

Just ran the same notebook in a local Jupyter Lab session and it worked as I expected it might, saving a copy to Artifacts

  
  
Posted one year ago

. I'm thinking it's generically a kernel gateway issue, but I'm not sure if other platforms are using that yet

The odd thing is that you can access the notebook, but it returns zero kernels ..

  
  
Posted one year ago

and this

server_info['url'] = f"http://{server_info['hostname']}:{server_info['port']}/{server_info['base_url']}/"
  
  
Posted one year ago

the server_info is

[{'base_url': '/jupyter/default/',
  'hostname': '0.0.0.0',
  'password': False,
  'pid': 9,
  'port': 8888,
  'root_dir': '/home/sagemaker-user',
  'secure': False,
  'sock': '',
  'token': '',
  'url': '
',
  'version': '1.23.2'}]
  
  
Posted one year ago

but the call to jupyter_server.serverapp.list_running_servers() does return the server

  
  
Posted one year ago

print(requests.get(url='

print(requests.get(url='
  
  
Posted one year ago

right now I can't figure out how to get the session in order to get the notebook path

  
  
Posted one year ago

Yes, I'm running a notebook in Studio. Where should it be captured?

  
  
Posted one year ago

As another test I ran Jupyter Lab locally using the same custom Docker container that we're using for Sagemaker Studio, and it works great there, just like the native local Jupyter Lab. So it's seemingly not the image, but maybe something to do with how Studio runs it as a kernel.

  
  
Posted one year ago

so notebook path is empty

  
  
Posted one year ago

seems like it's using None and that doesn't provide the normal api/sessions endpoint - or, it does, but returns an empty list

  
  
Posted one year ago

I can get it to run up to here: None

  
  
Posted one year ago

it does return kernels, just not sessions

  
  
Posted one year ago

This is strange, let me see if we can get around it, because I'm sure it worked 🙂

  
  
Posted one year ago

I think it just ends up in /home/sagemaker-user/{notebook}.ipynb every time

  
  
Posted one year ago

which I looked at previously to see if I could import sagemaker.kg or kernelgateway or something, but no luck

  
  
Posted one year ago

We will add this to the SDK soon

  
  
Posted one year ago

Hmm what do you have here?

os.system("cat /var/log/studio/kernel_gateway.log")
  
  
Posted one year ago

if there are any tests/debugging you'd like me to try, just let me know

  
  
Posted one year ago

if I change it to 0.0.0.0 it works

  
  
Posted one year ago

image

  
  
Posted one year ago

at least in 2018 it returned sessions! None

  
  
Posted one year ago

sounds good, thanks!

  
  
Posted one year ago

if I add the base_url it's not found

  
  
Posted one year ago

weird that it won't return that single session

  
  
Posted one year ago

lots of things like {"__timestamp__": "2023-02-23T23:49:23.285946Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.0007679462432861328, "method": "GET", "uri": "/api/kernels/6ba227af-ff2c-4b20-89ac-86dcac95e2b2", "status": 200}

  
  
Posted one year ago

right now I can't figure out how to get the session in order to get the notebook path

you mean the code that fires "HTTPConnectionPool" ?

  
  
Posted one year ago
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