TPUAccelerator¶

class lightning.pytorch.accelerators.TPUAccelerator(*args, **kwargs)[source]¶

Accelerator for TPU devices.

Warning

Use of this accelerator beyond import and instantiation is experimental.

static auto_device_count()[source]¶

Get the devices when set to auto.

get_device_stats(device)[source]¶

Gets stats for the given TPU device.

Parameters: device¶ (Union[device, str, int]) – TPU device for which to get stats
Return type: Dict[str, Any]
Returns: A dictionary mapping the metrics (free memory and peak memory) to their values.

static get_parallel_devices(devices)[source]¶

Gets parallel devices for the Accelerator.

static is_available()[source]¶

Detect if the hardware is available.

static parse_devices(devices)[source]¶

Accelerator device parsing logic.

setup_device(device)[source]¶

Create and prepare the device for the current process.

Clean up any state created by the accelerator.