a dC@sTdZddlmZmZddlZddlmZd eeeee fe ee efdddZ dS) z Utilities to describe gradients.)DictUnionN)Module/)module norm_typegroup_separatorreturncsxtdkrtdfdd|D}|rbtt|}||dd<dd|D}|S)aCompute each parameter's gradient's norm and their overall norm. The overall norm is computed over all gradients together, as if they were concatenated into a single vector. Args: module: :class:`torch.nn.Module` to inspect. norm_type: The type of the used p-norm, cast to float if necessary. Can be ``'inf'`` for infinity norm. group_separator: The separator string used by the logger to group the gradients norms in their own subfolder instead of the logs one. Return: norms: The dictionary of p-norms of each parameter's gradient and a special entry for the total p-norm of the gradients viewed as a single vector. rzD`norm_type` must be a positive number or 'inf' (infinity norm). Got cs:i|]2\}}|jdurdd||jjqS)Ngrad_Z_norm)Zgraddatanorm).0nameprrj/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/pytorch_lightning/utilities/grads.py +s zgrad_norm..r Z _norm_totalcSs i|]\}}|t|dqS))rounditem)r kvrrrr3) float ValueErrorZnamed_parameterstorchZtensorlistvaluesr items)rrrZnormsZ total_normrrr grad_norms r )r) __doc__typingrrrZtorch.nnrrintstrr rrrrs