mmengine.runner¶

Runner ¶

`Runner`	A training helper for PyTorch.
`FlexibleRunner`	A training helper for PyTorch.

`BaseLoop`	Base loop class.
`EpochBasedTrainLoop`	Loop for epoch-based training.
`IterBasedTrainLoop`	Loop for iter-based training.
`ValLoop`	Loop for validation.
`TestLoop`	Loop for test.

A general checkpoint loader to manage all schemes.

`find_latest_checkpoint`	Find the latest checkpoint from the given path.
`get_deprecated_model_names`
`get_external_models`
`get_mmcls_models`
`get_state_dict`	Returns a dictionary containing a whole state of the module.
`get_torchvision_models`
`load_checkpoint`	Load checkpoint from a file or URI.
`load_state_dict`	Load state_dict to a module.
`save_checkpoint`	Save checkpoint to file.
`weights_to_cpu`	Copy a model state_dict to cpu.

A wrapper of torch.autocast and toch.cuda.amp.autocast.

`LogProcessor`	A log processor used to format log information collected from `runner.message_hub.log_scalars`.
`Priority`	Hook priority levels.

`get_priority`	Get priority value.
`set_random_seed`	Set random seed.