
    NgX                     "    d Z ddlZddZd	dZdS )
aP   Adaptive Gradient Clipping

An impl of AGC, as per (https://arxiv.org/abs/2102.06171):

@article{brock2021high,
  author={Andrew Brock and Soham De and Samuel L. Smith and Karen Simonyan},
  title={High-Performance Large-Scale Image Recognition Without Normalization},
  journal={arXiv preprint arXiv:},
  year={2021}
}

Code references:
  * Official JAX impl (paper authors): https://github.com/deepmind/deepmind-research/tree/master/nfnets
  * Phil Wang's PyTorch gist: https://gist.github.com/lucidrains/0d6560077edac419ab5d3aa29e674d5c

Hacked together by / Copyright 2021 Ross Wightman
    N       @c           	          | j         dk    r|                     |          S |                     |t          t          d| j                             d          S )N   T)dimkeepdim)ndimnormtuplerange)x	norm_types     J/var/www/html/ai-engine/env/lib/python3.11/site-packages/timm/utils/agc.pyunitwise_normr      sM    v{{vvi    vviU5AF+;+;%<%<dvKKK    {Gz?MbP?c                 
   t          | t          j                  r| g} | D ]}|j        
|                                }|j                                        }t          ||                              |                              |          }t          ||          }|||                    d          z  z  }	t          j	        ||k     ||	          }
|j                                        
                    |
           d S )N)r   )mingư>)
isinstancetorchTensorgraddetachr   clamp_mul_clampwherecopy_)
parametersclip_factorepsr   pp_datag_datamax_norm	grad_normclipped_grad	new_gradss              r   adaptive_clip_gradr)      s    *el++ " \
 	) 	)6> 9===DDDMMRRS^__!&I>>>	IOOO,E,E!EFK	H 4flKK		i((((	) 	)r   )r   )r   r   r   )__doc__r   r   r)    r   r   <module>r,      sP    " L L L L) ) ) ) ) )r   