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Hello Everyone. I'Ve Just Started Playing With Clearml. In The 2Nd 'Getting Started' Tutorial, I Launched The Agent From Google Colab. But Whenever A Task Is Picked, It Fails For The Following Error. Any Clues? Thank You!

Hello everyone. I've just started playing with ClearML. In the 2nd 'Getting Started' tutorial, I launched the agent from Google colab. But whenever a task is picked, it fails for the following error. Any clues? Thank you!

[ColabKernelApp] CRITICAL | Bad config encountered during initialization: The 'kernel_class' trait of <__main__.ColabKernelApp object at 0x7fa41b29e5c0> instance must be a type, but 'google.colab._kernel.Kernel' could not be imported
  
  
Posted 13 days ago
Votes Newest

Answers 9


It actually started executing your code, but it did not capture it correctly:

/root/.clearml/venvs-builds/3.10/bin/python -u /root/.clearml/venvs-builds/3.10/code/colab_kernel_launcher.py 

Which I assume means the actual Task had bad code.
What do you have under the Task execution tab in the UI (the one you were launching, i.e. enqueueing )

  
  
Posted 13 days ago

Hi @<1523701205467926528:profile|AgitatedDove14> , thanks for the reply. This happens after I enqueue the task in the queue where the colab agent is registered. Please see None to have a look at the outputs

  
  
Posted 13 days ago

Oh!
I see this is using the colab as remote agent (i.e. to launch jobs on it),

[ColabKernelApp] CRITICAL | Bad config encountered during initialization: The 'kernel_class' trait of <main.ColabKernelApp object at 0x7fa41b29e5c0> instance must be a type, but 'google.colab._kernel.Kernel' could not be imported

Can you send the full log?

  
  
Posted 13 days ago

Hi @<1686547344096497664:profile|ContemplativeArcticwolf43>

In the 2nd 'Getting Started' tutorial,

Could you send a link to the specific notebook?

. But whenever a task is picked, it fails for the following

You mean after the Task.init call?

  
  
Posted 13 days ago

here it is

  
  
Posted 13 days ago

Good news is that I've tried again running from a fresh colab instance (run initial task, clone, run agent, send cloned task to agent) and it seems to be working now

  
  
Posted 11 days ago

the task is a clone of one previously executed on google colab too

  
  
Posted 12 days ago

# Copyright 2023 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     

#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Custom kernel launcher app to customize socket options."""

from ipykernel import kernelapp
import zmq


# We want to set the high water mark on *all* sockets to 0, as we don't want
# the backend dropping any messages. We want to set this before any calls to
# bind or connect.
#
# In principle we should override `init_sockets`, but it's hard to set options
# on the `zmq.Context` there without rewriting the entire method. Instead we
# settle for only setting this on `iopub`, as that's the most important for our
# use case.
class ColabKernelApp(kernelapp.IPKernelApp):

  def init_iopub(self, context):
    context.setsockopt(zmq.RCVHWM, 0)
    context.setsockopt(zmq.SNDHWM, 0)
    return super().init_iopub(context)


if __name__ == '__main__':
  ColabKernelApp.launch_instance()
  
  
Posted 12 days ago
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9 Answers
13 days ago
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