[Python] TPU Initialization Fails (OpKernel Missing) Despite Active TPU Runtime in Kaggle

I am facing a persistent issue when trying to initialize the TPU in my notebook. I have already confirmed that:

• 
  My account is Verified.
  
  
• 
  The Notebook Accelerator is set to TPU.
  
  
• 
  My TPU quota is currently available.
  

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However, the standard initialization code consistently throws a NotFoundError because the required OpKernel is missing. I suspect this is an environment configuration issue on the platform itself.

Has anyone encountered this specific OpKernel not registered error recently while using the TPU runtime and found a workaround?

Code and Error Details

Code Used:

import tensorflow as tf
# Detect and initialize TPU
tpu = tf.distribute.cluster_resolver.TPUClusterResolver(tpu='local')
tf.tpu.experimental.initialize_tpu_system(tpu)
# Create TPU distribution strategy
strategy = tf.distribute.TPUStrategy(tpu)
print("TPU initialized successfully.")


Traceback Snippet:

InvalidArgumentError: No OpKernel was registered to support Op 'ConfigureDistributedTPU' used by {{node ConfigureDistributedTPU}}
...
Registered devices: [CPU]
Registered kernels:
<no registered kernels>

During handling of the above exception, another exception occurred:
NotFoundError: TPUs not found in the cluster. Failed in initialization: No OpKernel was registered to support Op 'ConfigureDistributedTPU'...


Key Observation:

The output shows Registered devices: [CPU], confirming that the environment is not detecting the active TPU accelerator at the TensorFlow software level.

Any assistance or known workarounds would be greatly appreciated\! Thank you.

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