
    )j                         d Z ddlZddlZddlZddlZddlmZ ddlm	Z	 ddl
ZddlmZ ddlmZmZ dededefdZdd
Zd Zedk    r e             dS dS )z*
Evaluate perplexity (PPL) of MLX models.
    N)load_dataset)get_total_parametersload	data_pathnum_samplessequence_lengthc                    t          j        |ddddd          }t          ||           d         }t          j                            t          |                                                    }|dk    r||z  nt          d          }g }d}	t          |          |k     rQ|	                    |||	                            \  }
}|	d	z  }	|
                    |
           t          |          |k     Qt          j        |d t          |          |z  |z                     }|                    d
|          }|dk    r
|d |         }|S )Ntrainz	train[:1])pathtrain_splitvalid_splitTF)
hf_datasetr
   testr   inf   )typesSimpleNamespacer   nprandompermutationlentolistfloatprocessextendmxarrayreshape)	tokenizerr   r   r   argsdatasetperm
num_tokensdataitokens_s               [/lsinfo/ai/hellotax_ai/base_platform/venv/lib/python3.11/site-packages/mlx_lm/perplexity.py	load_datar*      sR     "&
 

   D 4++A.G9  W..5577D2=//;..uU||JD	A
d))j
 
 OOGDG$455		QF d))j
 
 
 8DKCII8OKKLMMD<<O,,DQL[L!K       c                    g }t          |          |z   dz
  |z  }t          t          dt          |          |                    D ]\  }}||||z            } | |ddddf                                       t          j                  }t          j                            ||ddddf         d          }	t	          j	        |	           |
                    |	                                           |dz   dz  dk    s	|dz   |k    rt          d|dz    d| d	d
           t                       t	          j        |          }|                                                                }
t!          j        |
          }t	          j        t	          j        |d                                                    }|j        }|t!          j        |          z  }||z  }||fS )a  
    Evaluate perplexity on a dataset with standard error calculation.

    Args:
        model: The model to evaluate
        data: Tokenized data tensor
        batch_size: Batch size for evaluation

    Returns:
        tuple: (perplexity, standard_error)
    r   r   Nr   none)	reductionz  Processed /z batches...)end)ddof)r   	enumeraterangeastyper   float32nnlossescross_entropyevalappendflattenprintconcatenatemeanitemmathexpsqrtvarsize)modelr%   
batch_size
all_lossesnum_batchesr&   sbatchlogitsr9   	mean_losspplstd_devr$   standard_errorstandard_error_ppls                   r)   eval_pplrS   5   s    Jt99z)A-*<K%3t99j99:: M M1QZ'(uQQQV}%%,,RZ88 ((qqq!""u(PP
&..**+++ EQ;!A+55AQAAAAAtLLLL	GGG 
++J !!&&((I
(9

CgbfZa000116688GJty444N~-"""r+   c                     t          j        d          } |                     dt          dd           |                     ddd	
           |                     dt          dd           |                     dt          dd           |                     dt          dd           |                     dt          dd           |                     dt          dd           |                                 }t          j                            |j                   t          j                            |j                   t          d|j         d           d|j        rdnd i}t          |j        |          \  }}t          |          }t          d|d z  d!d"           t          d#           t          d$|j                    t!          ||j        |j        |j        %          }t          d&t'          |           d'           t          d(|j         d           t+          j                    }t-          |||j        )          \  }}	t+          j                    |z
  }
|j        d*         |j        d+         d+z
  z  }t          d,           t          d-           t          d.           t          d/|j                    t          d0|d1d2|	d1           t          d3|
d4d5           t          d6t          j                    d7z  d4d8           t          d9||
z  d:           t          d;           t          d<t'          |                      t          d=|j                    d S )>Nz!Evaluate perplexity of MLX models)descriptionz--modelTz&Path to model or Hugging Face model ID)typerequiredhelpz--trust-remote-code
store_truezJEnable trusting remote code for tokenizer/model loading from Hugging Face.)actionrX   z--batch-sizer,   zBatch size for evaluation)rV   defaultrX   z--sequence-lengthi   zSequence length for evaluationz--num-samples   z/Number of samples to use (-1 for all available)z--data-pathzallenai/tulu-3-sft-mixturezIA Hugging Face dataset which is compatible with an mlx-lm dataset format.z--seed{   zRandom seed for data samplingzLoading model from z...trust_remote_code)tokenizer_configzModel loaded: g    .Az.1fzM parametersz
Loading dataset...z  Sequence length: )r   r   z	  Loaded z samplesz'
Evaluating perplexity with batch size )rH   r   r   z=
============================================================zEVALUATION RESULTSz<============================================================zModel: zPerplexity: z.3fu    ± zEvaluation time: z.2fz secondszPeak memory: g    eAz GBzTokens per second: z.0fz
Dataset statistics:z  Total samples: z  Total tokens: )argparseArgumentParseradd_argumentstrint
parse_argsr   r   seedr   r>   rG   r^   r   r   r   r*   r   r   r   rH   timerS   shapeget_peak_memoryrF   )parserr!   r_   rG   r    total_paramsr%   
start_timerO   se	eval_timetokens_evaluateds               r)   mainrp   e   s   $1TUUUF
5	     Y    
 S!2M     -	     >	     ,X	     sC.M     D INN49INN49 

/

/
/
/000+T5K-UTTQUVDJ9IJJJE9 (..L	
=<+
=
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=>>> 

!"""	
6 4
6
6777$,	  D 

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)*** 

IT_
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IJJJJudt???GC	j(Iz!}
1(9:	/	
	(OOO	
 DJ
 
 !!!	
.
.
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5666	
=",..4
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=>>>	
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BCCC 

"###	
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)***	
(TY
(
()))))r+   __main__)r,   )__doc__r`   rB   rg   r   mlx.corecorer   mlx.nnr8   numpyr   mlx_lm.tuner.datasetsr   mlx_lm.utilsr   r   rc   rd   r*   rS   rp   __name__ r+   r)   <module>r{      s                        . . . . . . 3 3 3 3 3 3 3 3  	   D-# -# -# -#`W* W* W*t zDFFFFF r+   