o oi @sZdZddlmZmZddlZddlmZd dedeeee fde d ee effd d Z dS) z Utilities to describe gradients.)DictUnionN)Module/module norm_typegroup_separatorreturncsftdkrtdfdd|D}|r1tt|}||dd<|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|]\}}|jdurdd||jjqS)Ngrad__norm)graddatanorm).0nameprrU/home/ubuntu/.local/lib/python3.10/site-packages/lightning/pytorch/utilities/grads.py -s  zgrad_norm..r _norm_total)float ValueErrornamed_parameterstorchtensorlistvaluesr)rrrnorms total_normrrr grad_norms r )r) __doc__typingrrrtorch.nnrrintstrr rrrrs   2