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tf.experimental.dtensor.initialize_tpu_system

Initialize the TPU devices.

This functions performs additional TPU related initialization after calling dtensor.initialize_multi_client to initialize multi-client DTensor. Refer to dtensor.initialize_multi_client for relevant environment variables that controls the initialization of multi-client DTensor.

Args
enable_coordination_service If true, enable distributed coordination service to make sure that workers know the devices on each other, a prerequisite for data transfer through cross-worker rendezvous.
Raises
RuntimeError If running inside a tf.function.
NotFoundError If no TPU devices found in eager mode.

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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/experimental/dtensor/initialize_tpu_system