
    i&                        U d Z ddlmZ ddlZddlZddlZddlmZ	 ddl
mZ i Zded<    G d d	      Zd
 Z	 	 	 	 	 	 	 	 	 	 d	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 ddZy)z'
MLX inference apply_model equivalent.
    )annotationsN   )center_trimz&dict[tuple[int, float, str], mx.array]_WEIGHT_CACHEc                  ,    e Zd ZdddZed        Zd Zy)TensorChunkNc                   |j                   d   }|dk  s||k\  rt        d      |||z
  }nt        ||z
  |      }t        |t              r-|j
                  | _        ||j                  z   | _        || _        y || _        || _        || _        y )Nr   zInvalid offset.)shape
ValueErrormin
isinstancer   tensoroffsetlength)selfr   r   r   total_lengths        i/Volumes/fast/ai/experiments/voice-extract-mac/.venv/lib/python3.12/site-packages/demucs_mlx/apply_mlx.py__init__zTensorChunk.__init__   s    ||B'A:</.//>!F*F.7Ffk* --DK 6==0DK  !DK DK    c                b    t        | j                  j                        }| j                  |d<   |S )Nr
   )listr   r   r   )r   r   s     r   r   zTensorChunk.shape"   s(    T[[&&'KKb	r   c                P   || j                   z
  }|dk  rt        d      | j                  j                  d   }| j                  |dz  z
  }||z   }t        d|      }t        ||      }||z
  }||z
  }	| j                  d||f   }
|s|	rt        j                  |
dd||	fgd      }
|
S )	Nr   z target_length must be >= length.r
      .)r   r   constant)mode)	r   r   r   r   r   maxr   mxpad)r   target_lengthdeltar   startendcorrect_startcorrect_endpad_left	pad_rightouts              r   paddedzTensorChunk.padded(   s    +19?@@{{((,eqj(m#Au,, 5(+%	kk#}[889y&&vv)/DEJWC
r   )r   N)r   zmx.array)__name__
__module____qualname__r   propertyr   r)    r   r   r   r      s        
r   r   c                    t        | t              r| S t        | t        j                        st	        d      t        |       S )NzExpected mx.array.)r   r   r   array	TypeError)tensor_or_chunks    r   tensor_chunkr3   9   s7    /;/orxx0,--''r   c                
   23456789 t        |      }|dkD  rt        j                  dt               d}|'|
t        nt	        j
                  t        |
            }n|}ddlm} t         |      rdgt         j                        z  }d }d }t         j                   j                        D ]  \  }}t        ||||||||||	|
|      }t!        j"                  |      5t!        j"                  |5j$                        j'                  dddd      }5|z  5t)        |      D ]  \  }}||xx   t+        |      z  cc<    |5j,                  d   }5}5j,                  d   |k  r5j,                  d   }|d	d |f   }n5j,                  d   |kD  r	5d	d |f   5|5z   } t!        j"                  ||j$                        j'                  dddd      }||z  }t!        j.                  |       |S t1        |      }|j,                  \  }}}|j2                  j$                  }|rt        d
 j4                  z        }|j7                  |d|z  z         }t9        |      } d5t;        |      D ]M  }!|j=                  d|      }"t9        | |"||z   |"z
        }#t         |#d|||d|||	|
|      }$5|$d	||"z
  d f   z   5O 5|z  5t!        j.                  5       5S |rLt!        j>                  |t         j                        ||f|      5t!        j>                  |f|      8| j@                  }t         j4                  |z        7t        d|z
  7z        }%tC        t;        d||%            47t+        |      |f}&tD        jG                  |&      99rt!        jH                  t!        jJ                  d7dz  dz         t!        jJ                  77dz  z
  dd      gd      99t!        jL                  9      z  |z  99tD        |&<   d 6|rddl'm'}'  |'t        4      ddd      6g 3g 2tQ         d      r jS                  7      }(n7}(23 456789f	d})	 t)        4      D ]R  \  }*}"tU        7||"z
        }+t9        ||"|+      },|+7k(  rJ|,j7                  |(      }-3jW                  |-       2jW                  |*       t        3      |	k\  sj |)        r |)        tQ         d      r jS                  |+      }.n|+}.|,j7                  |.      }-  |-      }/tY        |/|+      }/|"|+z   }09d |+ j'                  dddd      }5jZ                  d d d d d d |"|0f   j]                  ||/z        58jZ                  |"|0 j]                  9d |+       8t!        j.                  58       6B6j_                  d       U  |)        66ja                          	 t        t!        jb                  8dk(        je                               rtg        d      58z  5t!        j.                  5       5S tQ         d      r jS                  |      n|}1|j7                  |1      }  |      5tY        5|      S # 66ja                          w w xY w)Nr   znum_workers > 0 ignored on MLX.r   )BagOfModelsMLXg        )seed_rng)dtyper
   .g      ?r   F)axis)tqdmsegmentsseg)totaldescunitleavevalid_lengthc            	     N  	 sy t        j                        } | j                  \  }}}}| j                  ||z  ||      } |      }|j                  \  }}}	}
|j                  ||||	|
      }t	              D ]  \  }}t        ||         }|   }|z   }j                  d d d d d d ||f   j                  j                  dddd      |z        j                  || j                        j                  d        t        j                         g g y )Nr   r
   )
r   stackr   reshape	enumerater   ataddupdateeval)batch_tensorb_segb_audiochannelsr   batch_tensor_flatbatch_out_flat_sourcesout_cout_t	batch_outiidx	chunk_outr   r#   batch_indicesbatch_inputsmodeloffsetsr(   progress_barsegment_length
sum_weightweights                    r   flush_batchz apply_model.<locals>.flush_batch   s>    88L1L 0</A/A,E7Hf , 4 4UW_hPV W ##45N (6';';$Awu&..ugwuUI#M23'	!nE	 ~-ffQ1fSj0155fnnQ1b6QT]6]^']]6#6::6B
+ ''* 3 GGC$LMr   z8sum_weight has zeros; check segment and overlap settings)4boolwarningswarnRuntimeWarningrandomRandomintmlx_convertr5   r   lenrQ   zipmodelsweightsapply_modelr   r0   r8   rD   rE   floatr   rI   r3   r   
samplerater)   r   rangerandintzerossegmentr   r   getconcatenatearanger   r:   hasattrrA   r   appendr   rF   rG   rH   closeanyitemr   ):rZ   mixshiftssplitoverlaptransition_powerprogressnum_workersrs   
batch_sizer6   r7   progress_enabledrngr5   totals	estimates
min_length	sub_modelmodel_weightsreswkinst_weightdenom	mix_chunkbatchrM   r   	mix_dtype	max_shift
padded_mixpadded_chunkrP   r   shiftedshifted_outstride	cache_keyr:   std_valid_lenr`   rU   this_chunk_lenchunkr)   	valid_lenrW   r#   rA   rX   rY   r[   r(   r\   r]   r^   r_   s:   `                                                 @@@@@@@@r   rm   rm   A   sl    H~Q7H |f&--D	*B ,%(U]]++	
(+ELL%--(H$I}3w8H+w
CC ((3-C cii8@@B1MA'C #,M":;q	U;//	 #; ! YYr]
	99R=:-!$2J )#{
{*: ;IYYr]Z/c;J;./C%O	1 )I6 y7??2q!L%	
	 S!I'ooE8V  &&Ie.../	%%fq9}&<=
":.vA[[I.F!,8JV8STG%w5'3C{GZdK CV);)<$<==C  Fl

hhs5==18VDIVXXviy9
?mmGU--78a'k^34uQ/0 $U+;%<iH	""9->^^		!^q0145		.>Q+>>2F% F rvvf~-2BBF'-M)$!c'l%W\]L 5.)!..~>M*M!	 !	F'	%&w/	6!$^Vf_!E#Iv~F "^3"\\-8F ''/!((+<(J6#  M un5$)$6$6~$F	$2	"\\)4F !&fI +I~ FI >1C/771aDA&&Aq&*!4599!i-HC!+vc!:!>!>vo~?V!WJGGC,#/$++A.C 0F M'""$zQ',,./WXXJ

 291O5%%f-U[L!!,/J


CsF## '""$ (s   A4Y- CY- %Y- -Z)
r   Tg      ?g      ?Fr   N   NN)r|   z!tp.Union[mx.array, 'TensorChunk']r}   rg   r~   ra   r   rn   r   rn   r   ra   r   rg   rs   ztp.Optional[float]r   rg   r6   ztp.Optional[int]r7   ztp.Optional[random.Random])__doc__
__future__r   re   typingtprb   mlx.corecorer   	mlx_utilsr   r   __annotations__r   r3   rm   r.   r   r   <module>r      s    #     "8:5 :% %P( !"&!'+O$	*O$ O$ 	O$
 O$ O$ O$ O$  O$ O$ O$ %O$r   