TPUAccelerator

class pytorch_lightning.accelerators.TPUAccelerator(*args, **kwargs)

Bases: pytorch_lightning.accelerators.accelerator.Accelerator

Accelerator for TPU devices.

static auto_device_count()

Get the devices when set to auto.

Return type:

int

get_device_stats(device)

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)

Gets parallel devices for the Accelerator.

Return type:

List[int]

static is_available()

Detect if the hardware is available.

Return type:

bool

static parse_devices(devices)

Accelerator device parsing logic.

Return type:

Union[int, List[int], None]

setup_device(device)

Create and prepare the device for the current process.

Return type:

None

teardown()

Clean up any state created by the accelerator.

Return type:

None