create_optim_in_bwd_wrapper

torchtune.training.create_optim_in_bwd_wrapper(model: Module, optim_dict: Dict[Parameter, Optimizer]) → OptimizerInBackwardWrapper

Create a wrapper for optimizer step running in backward.

Parameters:

• model (torch.nn.Module) – Model that contains parameters that are being optimized. For now, it is assumed that all parameters being optimized belong to a single top-level model. named_parameters attribute of model will be accessed to look up parameter names for parameters being optimized.

• optim_dict (Dict[torch.nn.Parameter, torch.optim.Optimizer]) – Mapping from parameters to optimizers.

Returns:

Wrapper for optimizer states running in backward.

Return type:

OptimizerInBackwardWrapper