i XdZddlmZddlZddlmZd dedeeeefdede eeffd Z y) z Utilities to describe gradients.)UnionN)Modulemodule norm_typegroup_separatorreturnc t|}|dkrtd||jDcic]?\}}|j.d|d|||jjj |A}}}|rDt jt|jj |}||d|d<|Scc}}w)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 grad__norm _norm_total) float ValueErrornamed_parametersgraddatanormtorchtensorlistvalues)rrrnamepnorms total_norms v/Volumes/fast/ai/experiments/voice-extract-mac/.venv/lib/python3.12/site-packages/lightning/pytorch/utilities/grads.py grad_normrs&i IA~_`i_jkll..0 0GD! 66   {%079I9I)9TT0    \\$u||~"67<r&sM' fuc3)?RU`dehjoeo`pr%