(HJjdZddlZddlZddlZddlZddlmZddlm Z ddl Z ddl m Z ddlmZmZdededefdZd d Zd Zed k(reyy) z* Evaluate perplexity (PPL) of MLX models. N) load_dataset)get_total_parametersload data_path num_samplessequence_lengthctj|ddddd}t||d}tjj t |j}|dkDr||zn td}g}d} t ||kr?|j||| \} } | d z } |j| t ||kr?tj|dt ||z|z}|jd |}|dkDr|d|}|S) Ntrainz train[:1])path train_split valid_splitTF) hf_datasetr testrinf)typesSimpleNamespacernprandom permutationlentolistfloatprocessextendmxarrayreshape) tokenizerrrrargsdatasetperm num_tokensdataitokens_s [/Users/ahmed/devFolder/claude-voice/.venv/lib/python3.12/site-packages/mlx_lm/perplexity.py load_datar*s  "&   D4+A.G 99 W . 5 5 7D2=/;.uU|J D A d)j OOGDG$45  Q F d)j 88DKCI8OKL MD <<O ,DQL[! Kcjg}t||zdz |z}ttdt||D]\}}||||z}||ddddfjtj }t jj||ddddfd} t j| |j| j|dzdzdk(s |dz|k(std|dzd|d d tt j|}|jj} t!j"| } t j$t j&|d j} |j(} | t!j$| z }| |z}| |fS) a Evaluate perplexity on a dataset with standard error calculation. Args: model: The model to evaluate data: Tokenized data tensor batch_size: Batch size for evaluation Returns: tuple: (perplexity, standard_error) rrNrnone) reductionz Processed /z batches... )end)ddof)r enumeraterangeastyperfloat32nnlosses cross_entropyevalappendflattenprint concatenatemeanitemmathexpsqrtvarsize)modelr% batch_size all_losses num_batchesr&sbatchlogitsr8 mean_losspplstd_devr$standard_errorstandard_error_ppls r)eval_pplrR5sJt9z)A-*Nz!Evaluate perplexity of MLX models) descriptionz--modelTz&Path to model or Hugging Face model ID)typerequiredhelpz--trust-remote-code store_truezJEnable trusting remote code for tokenizer/model loading from Hugging Face.)actionrWz --batch-sizezBatch size for evaluation)rUdefaultrWz--sequence-lengthizSequence length for evaluationz --num-samplesz/Number of samples to use (-1 for all available)z --data-pathzallenai/tulu-3-sft-mixturezIA Hugging Face dataset which is compatible with an mlx-lm dataset format.z--seed{zRandom seed for data samplingzLoading model from z...trust_remote_code)tokenizer_configzModel loaded: g.Az.1fz M parametersz Loading dataset...z Sequence length: )rrz Loaded z samplesz' Evaluating perplexity with batch size )rGrrz= ============================================================zEVALUATION RESULTSz<============================================================zModel: z Perplexity: z.3fu ± zEvaluation time: z.2fz secondsz Peak memory: geAz GBzTokens per second: z.0fz Dataset statistics:z Total samples: z Total tokens: )argparseArgumentParser add_argumentstrint parse_argsrrseedrr=rFr^rrrr*rrrrGtimerRshapeget_peak_memoryrE) parserr!r_rFr total_paramsr% start_timerNse eval_timetokens_evaluateds r)mainrpes#  $ $1T UF   5    Y  S!2M   -     >    , X   sC.M    DIINN499IINN499  |3 /0+T5K5KTQUVDJJ9IJE9(.L N<+C0 => "  4 45 67  $$,,  D Ic$i[ )* 4T__4ES IJJudt?GC j(Izz!} 1 (9: /  (O GDJJ< ! LS bX ./ i_H 56 M",,.4S9 =>  09 r{sj .3 D-#`W*t zFr+