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CUDAAccelerator

class pytorch_lightning.accelerators.CUDAAccelerator[source]

Bases: pytorch_lightning.accelerators.accelerator.Accelerator

Accelerator for NVIDIA CUDA devices.

static auto_device_count()[source]

Get the devices when set to auto.

Return type

int

get_device_stats(device)[source]

Gets stats for the given GPU device.

Parameters

device (Union[device, str, int]) – GPU device for which to get stats

Return type

Dict[str, Any]

Returns

A dictionary mapping the metrics to their values.

Raises

FileNotFoundError – If nvidia-smi installation not found

static get_parallel_devices(devices)[source]

Gets parallel devices for the Accelerator.

Return type

List[device]

static is_available()[source]

Detect if the hardware is available.

Return type

bool

static parse_devices(devices)[source]

Accelerator device parsing logic.

Return type

Optional[List[int]]

setup(trainer)[source]

Setup plugins for the trainer fit and creates optimizers.

Parameters

trainer (Trainer) – the trainer instance

Return type

None

setup_environment(root_device)[source]
Raises

MisconfigurationException – If the selected device is not GPU.

Return type

None

teardown()[source]

Clean up any state created by the accelerator.

Return type

None

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