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