CUDAAccelerator¶

class lightning.pytorch.accelerators.CUDAAccelerator[source]¶

Accelerator for NVIDIA CUDA devices.

static auto_device_count()[source]¶

Get the devices when set to auto.

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.

static is_available()[source]¶

Detect if the hardware is available.

static parse_devices(devices)[source]¶

Accelerator device parsing logic.

setup(trainer)[source]¶

Setup plugins for the trainer fit and creates optimizers.

setup_device(device)[source]¶

Clean up any state created by the accelerator.