
    xi6                         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	m
Z
mZ ddlmZ ddlZ G d de
          Zd Zd Zd	 Zd
 Zedk    r e             dS dS )a   Example Usage
cpu:

s3tokenizer --wav_scp xxx.scp             --device "cpu"             --output_dir "./"             --batch_size 32

gpu:

torchrun --nproc_per_node=8 --nnodes=1      --rdzv_id=2024 --rdzv_backend="c10d" --rdzv_endpoint="localhost:0"     `which s3tokenizer` --wav_scp xxx.scp                 --device "cuda"                 --output_dir "./"                 --batch_size 32

    N)
DataLoaderDatasetDistributedSampler)tqdmc                        e Zd Zd Zd Zd ZdS )AudioDatasetc                 >   g | _         g | _        t          |dd          5 }|D ]_}|                                                                \  }}| j                             |           | j                            |           `	 d d d            d S # 1 swxY w Y   d S )Nrzutf-8)encoding)datakeysopenstripsplitappend)selfwav_scpflinekey	file_paths         _/root/.openclaw/workspace/chatterbox_venv_py311/lib/python3.11/site-packages/s3tokenizer/cli.py__init__zAudioDataset.__init__/   s    		'3111 	&Q & &!%!3!3!5!5Y	  +++	  %%%%&	& 	& 	& 	& 	& 	& 	& 	& 	& 	& 	& 	& 	& 	& 	& 	& 	& 	&s   A#BBBc                 *    t          | j                  S N)lenr   )r   s    r   __len__zAudioDataset.__len__9   s    49~~    c                     | j         |         }| j        |         }t          j        |          }t          j        |          }||fS r   )r   r   s3tokenizer
load_audiolog_mel_spectrogram)r   idxr   r   audiomels         r   __getitem__zAudioDataset.__getitem__<   sA    IcN	in&y11-e44Cxr   N)__name__
__module____qualname__r   r   r&    r   r   r   r   -   sA        & & &      r   r   c                 j    d | D             }d | D             }t          j        |          \  }}|||fS )Nc                     g | ]
}|d          S )r   r*   .0items     r   
<listcomp>zcollate_fn.<locals>.<listcomp>E       &&&DG&&&r   c                     g | ]
}|d          S )   r*   r-   s     r   r0   zcollate_fn.<locals>.<listcomp>F   r1   r   )r    padding)batchr   mels	mels_lenss       r   
collate_fnr8   D   sI    &&&&&D&&&&&D!)$//OD)y  r   c                     t          t          j                            dd                    } t          t          j                            dd                    }t          t          j                            dd                    }t	          d                    |          d                    ||           z              t          j                            |           t          j
        d           | ||fS )	N
WORLD_SIZEr3   
LOCAL_RANKr   RANKz'Inference on multiple gpus, this gpu {}z, rank {}, world_size {}nccl)intosenvirongetprintformattorchcuda
set_devicedistinit_process_group)
world_size
local_rankranks      r   init_distributedrL   K   s    RZ^^L!4455JRZ^^L!4455Jrz~~fa(())D	
3
:
::
F
F
$
+
+D*
=
=> ? ? ?	J*%%%F###z4''r   c                     t          j        d          } |                     ddt          g dd           |                     ddt          d	
           |                     ddt          ddgd           |                     ddt          d
           |                     ddt          d
           |                     dt          dd           |                     dt          dd           |                                 }|S )Nzextract speech code)descriptionz--modelT)speech_tokenizer_v1speech_tokenizer_v1_25hzspeech_tokenizer_v2_25hzzmodel version)requiredtypechoiceshelpz	--wav_scpz&each line contains `wav_name wav_path`)rR   rS   rU   z--devicerE   cpuzdevice for inferencez--output_dirzdir to save resultz--batch_sizez%batch size (per-device) for inferencez--num_workers   zworkers for dataloader)rS   defaultrU   z
--prefetch   zprefetch for dataloader)argparseArgumentParseradd_argumentstrr>   
parse_args)parserargss     r   get_argsra   V   sp   $1FGGGF
	!% ! ! ! -  . . . !% E  G G G 
!% !'3	  5 5 5
 !% 1  3 3 3 !% D  F F F   !5  7 7 7   !6  8 8 8 DKr   c            	         t                      } t          j        | j        d           | j        dk    r3t
          j                                        sJ t                      \  }}}nd\  }}}t          j        | j                  }t          j
        | j                                      |          }t          | j                  }| j        dk    r:t
          j        j                            ||g          }t%          |||          }nd }t'          || j        |d| j        | j        t.                    }t1          |          }	|d	k    rt3          |	d
d          }
t5          | j         d|dz    d| d          }|D ]\  }}} ||                    |          |                    |                    \  }}t7          |          D ]j\  }}||d ||                                         f                                         }|                    t?          j         ||dd          dz              k|d	k    r%|
!                    |t1          |          z             |d	k    r|
"                                 |"                                 | j        dk    r(tG          j$                     tG          j%                     d S d S )NT)exist_okrE   )r3   r   r   )
device_ids)num_replicasrK   F)
batch_sizesamplershufflenum_workersprefetch_factorr8   r   
Processingwavs)totaldescunitz/part_r3   _of_w)r   code)ensure_ascii
)&ra   r?   makedirs
output_dirdevicerD   rE   is_availablerL   r    
load_modelmodeltor   r   nnparallelDistributedDataParallelr   r   rf   ri   prefetchr8   r   r   r   	enumerater/   tolistwritejsondumpsupdatecloserG   barrierdestroy_process_group)r`   rI   rJ   rK   rw   rz   datasetrg   
dataloadertotal_stepsprogress_barwriterr   r6   r7   codes
codes_lensikrr   s                       r   mainr   }   s   ::DK$////{f
''))**)'7'9'9$
J'.$
J\$+&&F"4:..11&99E4<((G{f!99zl : , ,$W2<*.0 0 0 G'+$+$)(,(8,0M'13 3 3J g,,Kqyy+LvNNNT_FFD1HFF*FFLLF!+ 
8 
8dI!E$''&//9<<3G3GHHzdOO 	/ 	/DAq1Z]//1111299;;DLL
   !&' ' ' *../ / / /
 199
SYY 6777qyy
LLNNN{f"$$$$$ r   __main__)__doc__rZ   r   r?   rD   torch.distributeddistributedrG   torch.utils.datar   r   r   r   r    r   r8   rL   ra   r   r'   r*   r   r   <module>r      s   &   				              D D D D D D D D D D              7   .! ! !( ( ($ $ $N6% 6% 6%r zDFFFFF r   