TPU Initialization Fails (OpKernel Missing) Despite Active TPU Runtime in Kaggle
16:54 18 Nov 2025

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:
  

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.

python tensorflow kaggle tpu