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SingleTPUStrategy

class pytorch_lightning.strategies.SingleTPUStrategy(device, accelerator=None, checkpoint_io=None, precision_plugin=None, debug=False)[source]

Bases: pytorch_lightning.strategies.single_device.SingleDeviceStrategy

Strategy for training on a single TPU device.

model_to_device()[source]

Moves the model to the correct device.

Return type

None

setup(trainer)[source]

Setup plugins for the trainer fit and creates optimizers.

Parameters

trainer (Trainer) – the trainer instance

Return type

None

teardown()[source]

This method is called to teardown the training process.

It is the right place to release memory and free other resources.

Return type

None

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