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    4Af                 k  @   s
  d Z ddlmZ ddlmZ ddlmZmZmZm	Z	m
Z
mZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ eeZdddd	d
ddddddddgg g g dgg g g ddddddddddddd d!d"d#d$d%gd&d'd(d)d*d+d,d-d.d/d0gg g g g g g g d1gd2d3gg d4d5d6d7gd8gg g d9d:d;d<d=d>d?d@dAdBg
dCgdDdEdFdGdHdIdJgg dKgdLdMdNdOgdPdQdRdSgdTdUgdVdWdXdYdZd[d\d]d^d_d`gdagdbdcdddedfgdgdhgg g digdjdkdldmgdngdodpdqgdrgdsgdtgdudvgdwgdxdygdzd{gd|d}d~dgddddgdgddddgddgdgdgddgdddgddddgddddgdddddgddddgddddddgg ddgdgdgddgdgdgg ddgddgdgdddgdgddgdgdgdgdgg g dgdgdgddgdgddddgdddgdgdgdgdgdgdgddgddgdddgdgdgdddgdddgdgdgdgdgdgg dgdgddgg ddgdddddgdgdgddgddgdgdgddgdgdddd gddgdddddgdgd	gd
dgddgdgdgdgdddgdgddgdgdgdgdgg dgddgddd gd!gd"gd#gd$gd%gd&gd'gd(gd)d*d+d,gd-d.d/d0gd1gd2gd3d4gd5d6gd7d8d9d:d;gd<d=d>d?d@gdAgdBdCgdDgdEgdFgdGdHgdIdJgdKdLgdMdNgdOgdPdQgdRdSgdTgdUgdVgdWgdXdYdZd[gd\gd]d^gd_gg d`gg dadbdcgddgdegg dfdggdhgdigdjgdkgdldmgdngdogdpgdqdrgdsdtgdudvgdwgg dxgdygdzgd{gd|d}gd~dgdgddddgddddgdgdgdgddgdgddgdgdgdgdgddddgdgdgdgddgdgdgddgdgdddgdgdgdgdgdgddgdgddgddgddgdgdddddgdddgdgdgdgdgdgddÐdĐdgdgdǐdȐdgdʐdːd̐dgdΐdgdАdgdgdgdgdgdgdgdgdgdgdgdܐdgdgdgdgddgddgddgdgdgdgddgdgdgdgddddgdgdgddgdgdgdgdgdgdgddgdgd ddddgddgdgdgd	gd
gddddgddddgdgddgdgdgdgdgdgdgdgg dddd d!d"d#d$d%d&d'd(d)d*d+d,d-d.d/d0d1d2d3d4d5d6d7d8d9d:d;d<d=d>d?g#d@gg g dAgdBdCdDdEdFdGgdHdIdJdKdLdMdNgdOdPdQdRdSgdTgdUgdVgdWdXdYdZd[d\d]d^d_d`dadbdcdddedfdgdhdidjdkdldmdndodpdqdrdsdtdudvdwdxdydzd{d|d}d~ddddg,ddddddddgdAZze s>e W nB ek
r   ddlmZ dd e eD ed< Y nX ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d¡ ed !dġ ed !dơ ed !dȡ ed !dʡ ed !d̡ ed !dΡ ed !dС ed !dҡ ed !dԡ ed !d֡ ze se W nB ek
r`   ddlm"Z" dؐd e e"D ed< Y nvX ed !dڡ ed !dܡ ed !dݡ ed !dߡ ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed #dddg ed !d  ed !d ed !d ed !d ed !d ed !d ed	 !d
 ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d ed !d  ed! !d" ed !d# ed$ !d% ed !d& ed' !d( ed) !d* ed !d+ ed, !d- ed !d. ed !d/ ed0 !d1 ed2 !d3 ed !d4 ed5 !d6 ed7 !d8 ed !d9 ed !d: ed; !d< ed !d= ed !d> ed !d? d@gedA< ze re se W n@ ek
r0   ddBlm$Z$ dCd e e$D edD< Y nX dEdFgedF< ze sTe W n@ ek
r   ddGlm%Z% dHd e e%D edI< Y nX ed !dJ ze se W n@ ek
r   ddKlm&Z& dLd e e&D edM< Y nX ed !dN ze s e W nB ek
rd   ddOlm'Z' dPd e e'D edQ< Y nHX dRgedS< dTgedU< dVgedW< edX #dYdZg ed[ #d\g ed] #d^g ed_ !d` eda !db edc #dddeg ed #dfdgg edh #didjg edk #dldmg edn #dodpg edq #drdsg edt !du edv !dw edx !dy edz #d{g ed| #d}d~g ed #ddg ed #ddg ed !d ed #dddg ed #ddg ed #ddg ed #dg ed #dg ed #dg ed #ddg ed #dg ed #d8d9g ed #d=d>g ed #ddg ed !d ed !d ed !d ed #ddg ed #ddg ed #ddg ed #ddg ed' !d ed #dg ed !d ed #ddg ed #ddg ed #dg ed #ddg ed #dg ed #dg ed #dg ed #dȐdg ed #dg ed !d̡ ed #dg ed !dС ed !dҡ ed !dԡ ed #d֐dg ed #dddg ed #dڐdg ed !dݡ ed !dߡ ed #ddg ed !d ze se W n@ ek
r   ddlm(Z( dd e e(D ed< Y n"X dged< ed !d ze s0e W nB ek
rt   ddlm)Z) dd e e)D ed< Y 'npX g ed< dged< dged< dddddddddddddd ged< dddddddd	d
g	ed< ed #dddddddddddddddddddd d!d"d#d$d%d&d'd(d)d*d+d,d-d.d/d0d1d2d3d4d5d6d7d8d9d:d;d<g0 g ed=< g ed>< d?ged@< dAgedB< ed #dCdDdEdFdGdHdIdJdKg	 edL #dMdNdOdPg edQ #dRdSdTdUg edV #dWdXdYg edZ #d[d\d]d^d_d`dadbdcdddedfdgdhdidjdkdldmdndodpdqdrdsdtdudvdwdxdydzd{d|d}d~ddddddddddddddddddddddddddddddddddddddddddddgP ed #dddg ed #ddddddg ed #ddddddddg edX #ddddddg ed #dĐdŐdƐdǐdȐdɐdʐdːd̐d͐dΐdg ed #dАdѐdҐdg ed #dԐdՐd֐dאdؐdِdڐdېdܐdݐdg ed #ddddddg ed #dddddg ed[ #ddddg ed #ddddg ed #ddddg ed] #dddddddg ed #d ddddg ed #ddddd	d
g ed_ #dddddg ed #ddddddg ed #ddddddddg ed #dd d!d"d#d$d%d&g eda #d'd(d)dd*g edc #d+d,d-d.g ed/ #d0d1d2d3d4d5d6g ed #d7d8d9d:d;d<d=g ed> #d?d@dAdBdCg edD #dEdFdGdHdIdJg ed #dKdLdMg ed #dNdOdPg edh #dQdRdSdTg ed #dUdVdWdXdYdZd[d\d]g	 edk #d^d_d`dag edb #dcdddedfg edg #dhdidjg edk #dldmdndog edp #dqdrdsg edt #dudvdwdxdydzd{d|d}d~ddddddddg ed #dddg ed #ddddddg ed #dddddddg ed #ddddg edn #dddg edq #dddddg edt #dddg edv #ddddg ed #dddddddg ed #dddg ed #dddg ed #ddddg ed #dddg ed #dŐdƐdǐdȐdɐdʐdːdg ed #dΐdϐdg ed #dҐdӐdԐdg ed #dאdؐdِdڐdېdܐdݐdސdg	 ed #ddddg ed #dddddddddddg ed #ddddddddg ed #ddg ed #ddg ed #dd g ed #ddddddg edx #dd	d
dg ed #dddg edz #dddg ed #ddddddg ed #ddg ed| #ddddg ed  #d!d"d#d$g ed% #d&d'd(d)g ed #d*d+d,d-d.d/d0g ed #d1d2g ed #d3d4d5d6d7d8d9g ed #d:d;d<d=g ed #d>d?d@g ed #dAdBdCdDdEdFdGdHdIdJg
 edK #dLdMg edN !dO edP #dQdRdSdTdUdVdWdXdYdZg
 ed[ #d\d]d^d_d`dadbg edc #dddedfdgdhdig edj #dkdldmdng edo #dpdqdrdsdtdudvdwg ed #dxdydzd{d|d}d~g ed #ddddddddddg
 ed #dddddg ed #dddg ed #ddddddddddg
 ed #ddg ed #dddddg ed #dddddg ed #ddddg ed #dddg ed #ddddddddg ed #dddddg ed #dddÐdĐdŐdƐdg ed #dȐdɐdʐdːd̐d͐dg ed	 #dϐdАdѐdg ed #dԐdՐd֐dאdg ed #dِdڐdg ed #dݐdސdߐdg ed #dddddg ed #ddddg ed #dddddddg ed #ddddg ed #ddddg ed #ddddd g ed #dddg ed #dddd	g ed #d
dddg ed #ddddg ed #ddddg ed #dddg ed #ddddd d!g ed #d"d#d$d%d&g ed #d'd(d)d*d+g ed #d,d-d.d/d0g ed #d1d2d3d4g ed5 #d6d7d8d9d:g ed #d;d<d=d>d?d@g edA #dBdCg ed #dDdEg ed #dFdGg ed #dHdIdJdKdLdMdNdOg edP #dQdRdSdTg edU #dVdWdXdYdZd[d\d]d^d_g
 ed #d`dadbdcdddedfg ed #dgdhdig edj #dkdldmg edn #dodpdqg ed #drdsdtg ed #dudvdwdxdyg ed #dzd{d|g ed #d}d~ddg ed #ddddddg ed #ddddddddddg
 ed #dddg ed #dddddg ed #dddddg ed #dddddddddddg ed #ddddg ed #dddddg ed #ddddg ed #ddddg ed! #dddddÐdĐdŐdg ed #dȐdɐdʐdːd̐dg ed #dϐdАdѐdҐdӐdԐdg ed #d֐dאdؐdِdڐdېdg ed #dސdߐdddg ed #ddddg ed$ #ddddddg ed #ddddddg ed #dddddg ed #ddddd dddg ed #dddg ed #dd	d
g ed) #ddddddg ed #dddddg ed #dddddg ed #ddddd g ed! #d"d#d$g ed% #d&d'd(d)d*d+g ed, #d-d.d/d0d1d2g ed #d3d4d5d6g ed7 #d8d9d:g ed #d;d<d=d>d?d@dAdBdCdDg
 edE #dFdGdHdIdJg edK #dLdMdNdOdPg edQ #dRdSdTdUdVg ed #dWdXdYdZg ed #d[d\d]d^d_g ed #d`dadbg edc #dddeg edf #dgdhdidjdkdlg ed #dmdndog edp #dqdrdsdtg ed, #dudvdwdxdyg edz #d{d|d}d~dg ed #ddddg ed #dddg ed #ddddddddg ed #dddg ed #ddddddddddg
 ed #ddddg ed0 #ddddddddg ed #ddddddddg ed #dddddddddddg ed2 #dddÐdĐdŐdƐdǐdȐdɐdg
 ed #dːd̐d͐dΐdg ed #dѐdҐdg ed #dԐdg ed #d֐dאdؐdِdڐdېdܐdݐdސdg
 ed #ddddddg ed #ddddddg ed #dddg ed #ddddg ed #ddddg ed #dddddg ed #	d g ed #	d	d	dg ed #	d	d	d	d	d	d	g ed5 #	d
	d	d	d	dg ed7 #	d	d	d	d	d	d	d	dg e	d #	d	d	d	d	dg e	d #	d	d	d 	d!	d"g ed #	d#	d$g e	d% #	d&	d'	d(g e	d) #	d*	d+	d,	d-	d.g ed #	d/	d0	d1g e	d2 #	d3	d4	d5	d6	d7g e	d8 #	d9	d:	d;	d<	d=	d>g ed #	d?	d@	dA	dB	dC	dD	dE	dFg e	dG #	dH	dI	dJg e	dK #	dL	dM	dN	dO	dP	dQg e	dR #	dS	dT	dUg e	dV #	dW	dX	dYg e	dZ #	d[g e	d\ #	d]	d^g ed #	d_	d`	dag ed #	db	dc	dd	deg e	df #	dg	dh	di	dj	dk	dl	dmg e	dn #	do	dp	dq	dr	dsg e	dt #	du	dv	dw	dx	dy	dz	d{g e	d| #	d}g e	d~ #	d	dg ed #	d	d	dg ed #	d	d	d	dg ed #	d	d	d	d	d	d	d	dg e	d #	d	dg e	d #	dg e	d #	dg e	d #	d	d	d	d	d	d	d	dg ed #	d	d	d	dg e	d #	d	d	d	dg e	d #	d	d	dg e	d #	d	d	dg ed #	d	dg e	d #	d	dg ed #	d	d	dg e	d #	d	d	d	d	d	d	d	dg e	d #	dÐ	dĐ	dŐ	dƐ	dǐ	dg e	d #	dʐ	dː	d̐	d͐	dΐ	dϐ	dg e	d #	dҐ	dӐ	dԐ	dՐ	d֐	dg ed; #	dؐ	dِ	dڐ	dې	dg e	d #	dސ	dߐ	d	dg ed #	d	d	dg e	d #	d	d	d	d	d	d	d	dg ed #	d	d	d	d	d	d	d	dg e	d #	d	d	d	d	d	d	d	dg ed #	d
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dddg ed #dddddddddg	 ed #ddddddg ed #dddd d!g ed #d"d#d$d%g ed #d&d'd(g ed #d)d*d+g ed #d,d-d.d/d0d1d2g ed #d3d4d5d6d7g ed #d8d9d:g ed #d;d<d=d>d?d@dAdBg ed #dCdDdEdFdGg ed #dHdIdJg ed #dKdLdMg ed #dNdOdPdQg ed #dRdSdTdUdVdWdXdYdZd[g
 ed #d\d]d^d_g ed! #d`dadbdcdddedfdgg ed #dhdidjg ed) #dkdldmdndodpg ed #dqdrdsg ed #dtdudvg ed #dwdxdydzg ed #d{d|d}g ed #d~ddddddddg	 ed #dddg ed0 #dddddddddg	 ed #dddddddddg	 ed2 #dddddddddg	 ed #ddg ed #dddddg ed #dddg e	d% #dddg e	d) #ddddg ed #ddddg e	dK #dddddg e	d #dg e	d #dg ed #dddg e	d #dĐdŐdg e	d #dǐdȐdɐdg ed; #dːd̐dg ed #dΐdϐdg e	d #dѐdҐdӐdԐdՐd֐dאdg ed #dِdڐdېdܐdݐdސdߐdg ed #ddddddddg ddddged< g ed< z2e Mre	 Mre Mre Mre Mse W n@ ek
Nr.   ddlm+Z+ dd e e+D ed< Y n8X edc !d edc !d edc !d ze Nsve W n@ ek
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 ed #dFdGdHdIdJdKdLdMdNg	 ed #dOdPdQg ed #dRdSdTg ed #dUdVdWg ed #dXdYdZd[d\d]d^g ed #d_d`dadbdcdddeg ed #dfdgdhdidjdkdldmdng	 edN !do ed #dpdqdrg ed #dsdtdug ed #dvdwdxg ed #dydzd{g ed #d|d}d~g edP #dddg ed #dddg ed #dddddg ed #dddg ed #dddg ed #dddg ed #dddg ed #dddg ed #dddg ed0 #ddddddddg ed #ddddddddg ed2 #dddddddg ed !d ed #ddddg e	d !d e	d #dg ed #dddg e	d #ddddg ed; #dddÐdg ed #dŐdƐdg ed #dȐdɐdʐdːd̐d͐dΐdg erddl.m/Z/m0Z0m1Z1m2Z2m3Z3m4Z4m5Z5m6Z6m7Z7m8Z8m9Z9m:Z:m;Z; ddl<m=Z= ddl>m?Z?m@Z@mAZAmBZBmCZCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKmLZLmMZMmNZNmOZOmPZP ddlQmRZRmSZSmTZTmUZUmVZVmWZWmXZXmYZYmZZZm[Z[m\Z\ ddl]m^Z^ ddl_m`Z`maZa ddlbmcZcmdZdmeZemfZf ddlgmhZh ddlimjZjmkZkmlZlmmZmmnZnmoZompZpmqZqmrZrmsZs ddltmuZu ddlvmwZwmxZxmyZymzZzm{Z{m|Z|m}Z} ddl~mZ ddlmZmZmZmZ ddlmZmZmZmZ ddlmZmZ ddlmZmZmZmZmZmZmZmZmZmZmZ ddlmZ ddlmZmZmZmZmZ ddlmZmZ ddlmZ ddlmZmZmZmZ ddlmZ ddlmZmZmZ ddlmZ ddlmZ ddlmZ ddlmZmZ ddlmZ ddlmZmZ ddlmZmZ ddlmZmZmZmZ ddlmZmZmZmZ ddlmZ ddlmZmZmZmZ ddlmZmZ ddlmZ ddlmZ ddlmZmZ ddlmZmZmZ ddlmZmZmZmZ ddlmZmZmZmZ ddlmZmZmZmZmZ ddlmZmZmZmZ ddlmZmZmZmZmZmZ ddlmZmZ ddl mZ ddlmZ ddlmZmZ dd lmZ ddl	m
Z
 ddlmZmZ ddlmZmZ ddlmZ ddlmZmZmZ ddlmZ ddlmZmZ ddlmZ dd	lmZ dd
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Z
 ddalmZmZ ddblmZ ddclmZ dddlmZ ddelmZ ddflmZmZmZmZ ddglmZ ddhlmZmZ ddil m!Z! ddjl"m#Z# ddkl$m%Z%m&Z&m'Z' ddll(m)Z) ddml*m+Z+ ddnl,m-Z-m.Z. ddol/m0Z0 ddpl1m2Z2 ddql3m4Z4 ddrl5m6Z6 ddsl7m8Z8m9Z9 ddtl:m;Z; ddul<m=Z= ddvl>m?Z? ddwl@mAZAmBZB ddxlCmDZDmEZE ddylFmGZGmHZH ddzlImJZJ dd{lKmLZL dd|lMmNZN dd}lOmPZP dd~lQmRZR ddlSmTZTmUZU ddlVmWZWmXZX ddlYmZZZ ddl[m\Z\m]Z]m^Z^m_Z_ ddl`maZambZbmcZcmdZd ddlemfZf ddlgmhZh ddlimjZj ddlkmlZlmmZm ddlnmoZo ddlpmqZqmrZr ddlsmtZt ddlumvZv ddlwmxZx ddlymzZz ddl{m|Z|m}Z}m~Z~mZ ddlmZ ddlmZ ddlmZ ddlmZmZ ddlmZ ddlmZ ddlmZmZ ddlmZ ddlmZmZmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZmZ ddlmZ ddlmZmZ ddlmZmZ ddlmZmZ ddlmZ ddlmZmZmZmZmZ ddlmZmZmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmÐZ ddlĐmŐZŐmƐZƐmǐZǐmȐZ ddlɐmʐZ ddlːm̐Z̐m͐Z͐mΐZ ddlϐmАZАmѐZѐmҐZҐmӐZ ddlԐmՐZՐm֐Z ddlאmؐZؐmِZ ddlڐmېZ ddlܐmݐZ ddlސmߐZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZmZ ddlmZ ddlmZ ddlmZ ddlmZmZ ddlmZmZ ddlmZmZ ddl mZ ddlmZ ddÐlmZ ddĐlmZmZ ddŐl	m
Z
 ddƐlmZ ddǐlmZ ddȐlmZmZmZmZ ddɐlmZ ddʐlmZ ddːlmZmZ dd̐lmZ dd͐lmZ ddΐlm Z  ddϐl!m"Z" ddАl#m$Z$ ddѐl%m&Z& ddҐl'm(Z(m)Z) ddӐl*m+Z+ ddԐl,m-Z-m.Z.m/Z/m0Z0m1Z1 ddՐl2m3Z3m4Z4 dd֐l5m6Z6 ddאl7m8Z8 ddؐl9m:Z: ddِl;m<Z< ddڐl=m>Z>m?Z?m@Z@mAZA ddېlBmCZCmDZDmEZEmFZF ddܐlGmHZH ddݐlImJZJmKZK ddސlLmMZM ddߐlNmOZO ddlPmQZQ ddlRmSZS ddlTmUZU ddlVmWZW ddlXmYZY ddlZm[Z[m\Z\m]Z]m^Z^m_Z_m`Z`maZambZbmcZcmdZdmeZemfZfmgZgmhZhmiZimjZjmkZkmlZlmmZmmnZnmoZompZpmqZqmrZrmsZsmtZtmuZumvZvmwZwmxZxmyZymzZzm{Z{m|Z|m}Z} ddl~mZ ddlmZ ddlmZmZmZmZmZmZ ddlmZmZmZmZmZmZmZ ddlmZmZmZmZmZ ddlmZ ddlmZ ddlmZ ddlmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZm
Z
mZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ ddlmZmZmZmZmZmZmZmÐZ ze sse W n$ ek
sr   ddlT Y nX ddl~mŐZ ddlƐmǐZ ddlȐmɐZ ddlmʐZ ddlmːZ ddlؐm̐Z ddl͐mΐZ ddlϐmАZ ddlmѐZ ddl(mҐZ ddl^mӐZ ddlmԐZ ddlmՐZ ddl֐mאZ ddlmؐZ dd lmِZ ddlmڐZ ddlmېZ ddl mܐZܐmݐZ ddlސmߐZ ddl>mZ ddlmZ ddlkmmZm ddlmZ dd	lmZ dd
lmZ ddlmZ ddlĐmZ ddlːmZ ddlϐmZ ddlmZ ddlmZ ddlGmZ ddlLmZ ddlPmZ ze vse W n$ ek
vr   ddlT Y nX ddl~mZ ddlmZ ddlƐmZ ddlmZ ddlmZ ddlmZ ddlmZ ddl̐mZ ddlؐmZ ddlmZ ddl͐mZ ddlmZ dd l mZ dd!lmZ dd"lϐmZ dd#lmZ dd$lm Z  dd%lDmZ dd&lGmZ dd'lhmZ dd(lnmZmZmZ dd)lxmZ dd*lmZ dd+lm	Z	 dd,lm
Z
 dd-lmZ dd.lmZ dd/lmZ dd0lmZ dd1lmZ dd2lmZ dd3lmZ dd4lmZ dd5lmZ dd6lmZ dd7lmZ dd8lmZ dd9lmZ dd:l mZ dd;lmZ dd<l,mZ dd=l7mZ dd>l>mZ dd?lFmZ dd@lmZ ddAlMm Z  ddBlVm!Z! ddClkm"Z" ddDlm#Z# ddElm$Z$ ddFlm%Z% ddGlm&Z& ddHlm'Z' ddIlm(Z( ddJlԐm)Z) ddKlאm*Z* ddLlm+Z+ ddMlm,Z, ddNl=m-Z- ddOlGm.Z. ddPlLm/Z/ ddQlPm0Z0 ddRl1m2Z2 ze {re {se W n" ek
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e W n" ek
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|rv   ddl8T Y nX ddUlm9Z9 ze |se W n$ ek
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Z
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 sed  dS (!  z4.44.0    )TYPE_CHECKING   )dependency_versions_check)OptionalDependencyNotAvailable_LazyModuleis_bitsandbytes_availableis_essentia_availableis_flax_availableis_g2p_en_availableis_keras_nlp_availableis_librosa_availableis_pretty_midi_availableis_scipy_availableis_sentencepiece_availableis_speech_availableis_tensorflow_text_availableis_tf_availableis_timm_availableis_tokenizers_availableis_torch_availableis_torchaudio_availableis_torchvision_availableis_vision_availableloggingAgent	CodeAgentHfEnginePipelineTool
ReactAgentReactCodeAgentReactJsonAgentToolToolboxToolCollectionlaunch_gradio_demo	load_toolstream_to_gradioPretrainedConfigDataProcessorInputExampleInputFeatures%SingleSentenceClassificationProcessorSquadExampleSquadFeaturesSquadV1ProcessorSquadV2Processorglue_compute_metrics!glue_convert_examples_to_featuresglue_output_modesglue_processorsglue_tasks_num_labels"squad_convert_examples_to_featuresxnli_compute_metricsxnli_output_modesxnli_processorsxnli_tasks_num_labelsDataCollatorDataCollatorForLanguageModeling*DataCollatorForPermutationLanguageModelingDataCollatorForSeq2SeqDataCollatorForSOP"DataCollatorForTokenClassificationDataCollatorForWholeWordMaskDataCollatorWithFlatteningDataCollatorWithPaddingDefaultDataCollatordefault_data_collatorSequenceFeatureExtractorBatchFeatureFeatureExtractionMixinGenerationConfigTextIteratorStreamerTextStreamerWatermarkingConfigHfArgumentParseris_clearml_availableis_comet_availableis_dvclive_availableis_neptune_availableis_optuna_availableis_ray_availableis_ray_tune_availableis_sigopt_availableis_tensorboard_availableis_wandb_available	ModelCard(convert_tf_weight_name_to_pt_weight_name$load_pytorch_checkpoint_in_tf2_modelload_pytorch_model_in_tf2_model!load_pytorch_weights_in_tf2_model$load_tf2_checkpoint_in_pytorch_modelload_tf2_model_in_pytorch_model!load_tf2_weights_in_pytorch_modelAlbertConfigAlignConfigAlignProcessorAlignTextConfigAlignVisionConfigAltCLIPConfigAltCLIPProcessorAltCLIPTextConfigAltCLIPVisionConfig	ASTConfigASTFeatureExtractorCONFIG_MAPPINGFEATURE_EXTRACTOR_MAPPINGIMAGE_PROCESSOR_MAPPINGMODEL_NAMES_MAPPINGPROCESSOR_MAPPINGTOKENIZER_MAPPING
AutoConfigAutoFeatureExtractorAutoImageProcessorAutoProcessorAutoTokenizerAutoformerConfigBarkCoarseConfig
BarkConfigBarkFineConfigBarkProcessorBarkSemanticConfig
BartConfigBartTokenizer
BeitConfigBasicTokenizer
BertConfigBertTokenizerWordpieceTokenizerBertGenerationConfigBertJapaneseTokenizerCharacterTokenizerMecabTokenizerBertweetTokenizerBigBirdConfigBigBirdPegasusConfigBioGptConfigBioGptTokenizer	BitConfigBlenderbotConfigBlenderbotTokenizerBlenderbotSmallConfigBlenderbotSmallTokenizer
BlipConfigBlipProcessorBlipTextConfigBlipVisionConfigBlip2ConfigBlip2ProcessorBlip2QFormerConfigBlip2VisionConfigBloomConfigBridgeTowerConfigBridgeTowerProcessorBridgeTowerTextConfigBridgeTowerVisionConfig
BrosConfigBrosProcessorByT5TokenizerCamembertConfigCanineConfigCanineTokenizerChameleonConfigChameleonProcessorChameleonVQVAEConfigChineseCLIPConfigChineseCLIPProcessorChineseCLIPTextConfigChineseCLIPVisionConfigClapAudioConfig
ClapConfigClapProcessorClapTextConfig
CLIPConfigCLIPProcessorCLIPTextConfigCLIPTokenizerCLIPVisionConfigCLIPSegConfigCLIPSegProcessorCLIPSegTextConfigCLIPSegVisionConfig
ClvpConfigClvpDecoderConfigClvpEncoderConfigClvpFeatureExtractorClvpProcessorClvpTokenizerCodeGenConfigCodeGenTokenizerCohereConfigConditionalDetrConfigConvBertConfigConvBertTokenizerConvNextConfigConvNextV2ConfigCpmAntConfigCpmAntTokenizer
CTRLConfigCTRLTokenizer	CvtConfigData2VecAudioConfigData2VecTextConfigData2VecVisionConfig
DbrxConfigDebertaConfigDebertaTokenizerDebertaV2ConfigDecisionTransformerConfigDeformableDetrConfig
DeiTConfig
DetaConfigEfficientFormerConfigErnieMConfigGPTSanJapaneseConfigGPTSanJapaneseTokenizerGraphormerConfigJukeboxConfigJukeboxPriorConfigJukeboxTokenizerJukeboxVQVAEConfigMCTCTConfigMCTCTFeatureExtractorMCTCTProcessor
MegaConfig
MMBTConfig	NatConfigNezhaConfigOpenLlamaConfigQDQBertConfigRealmConfigRealmTokenizerRetriBertConfigRetriBertTokenizerSpeech2Text2ConfigSpeech2Text2ProcessorSpeech2Text2TokenizerTapexTokenizerTrajectoryTransformerConfigTransfoXLConfigTransfoXLCorpusTransfoXLTokenizer
TvltConfigTvltFeatureExtractorTvltProcessor	VanConfigViTHybridConfigXLMProphetNetConfigDepthAnythingConfig
DetrConfigDinatConfigDinov2ConfigDistilBertConfigDistilBertTokenizerDonutProcessorDonutSwinConfig	DPRConfigDPRContextEncoderTokenizerDPRQuestionEncoderTokenizerDPRReaderOutputDPRReaderTokenizer	DPTConfigEfficientNetConfigElectraConfigElectraTokenizerEncodecConfigEncodecFeatureExtractorEncoderDecoderConfigErnieConfig	EsmConfigEsmTokenizerFalconConfigFastSpeech2ConformerConfig!FastSpeech2ConformerHifiGanConfigFastSpeech2ConformerTokenizer%FastSpeech2ConformerWithHifiGanConfigFlaubertConfigFlaubertTokenizerFlavaConfigFlavaImageCodebookConfigFlavaImageConfigFlavaMultimodalConfigFlavaTextConfig
FNetConfigFocalNetConfig
FSMTConfigFSMTTokenizerFunnelConfigFunnelTokenizer
FuyuConfigGemmaConfigGemma2Config	GitConfigGitProcessorGitVisionConfig
GLPNConfig
GPT2ConfigGPT2TokenizerGPTBigCodeConfigGPTNeoConfigGPTNeoXConfigGPTNeoXJapaneseConfig
GPTJConfigGroundingDinoConfigGroundingDinoProcessorGroupViTConfigGroupViTTextConfigGroupViTVisionConfigHerbertTokenizerHieraConfigHubertConfigIBertConfigIdeficsConfigIdefics2ConfigImageGPTConfigInformerConfigInstructBlipConfigInstructBlipProcessorInstructBlipQFormerConfigInstructBlipVisionConfigInstructBlipVideoConfigInstructBlipVideoProcessorInstructBlipVideoQFormerConfigInstructBlipVideoVisionConfigJambaConfigJetMoeConfigKosmos2ConfigKosmos2ProcessorLayoutLMConfigLayoutLMTokenizerLayoutLMv2ConfigLayoutLMv2FeatureExtractorLayoutLMv2ImageProcessorLayoutLMv2ProcessorLayoutLMv2TokenizerLayoutLMv3ConfigLayoutLMv3FeatureExtractorLayoutLMv3ImageProcessorLayoutLMv3ProcessorLayoutLMv3TokenizerLayoutXLMProcessor	LEDConfigLEDTokenizerLevitConfig
LiltConfigLlamaConfigLlavaConfigLlavaProcessorLlavaNextConfigLlavaNextProcessorLlavaNextVideoConfigLlavaNextVideoProcessorLongformerConfigLongformerTokenizerLongT5Config
LukeConfigLukeTokenizerLxmertConfigLxmertTokenizerM2M100ConfigMambaConfigMamba2ConfigMarianConfigMarkupLMConfigMarkupLMFeatureExtractorMarkupLMProcessorMarkupLMTokenizerMask2FormerConfigMaskFormerConfigMaskFormerSwinConfigMBartConfigMegatronBertConfigMgpstrConfigMgpstrProcessorMgpstrTokenizerMistralConfigMixtralConfigMobileBertConfigMobileBertTokenizerMobileNetV1ConfigMobileNetV2ConfigMobileViTConfigMobileViTV2ConfigMPNetConfigMPNetTokenizer	MptConfig	MraConfig	MT5ConfigMusicgenConfigMusicgenDecoderConfigMusicgenMelodyConfigMusicgenMelodyDecoderConfig	MvpConfigMvpTokenizerNemotronConfigNllbMoeConfigNougatProcessorNystromformerConfig
OlmoConfigOneFormerConfigOneFormerProcessorOpenAIGPTConfigOpenAIGPTTokenizer	OPTConfigOwlv2ConfigOwlv2ProcessorOwlv2TextConfigOwlv2VisionConfigOwlViTConfigOwlViTProcessorOwlViTTextConfigOwlViTVisionConfigPaliGemmaConfigPatchTSMixerConfigPatchTSTConfigPegasusConfigPegasusTokenizerPegasusXConfigPerceiverConfigPerceiverTokenizerPersimmonConfig	PhiConfig
Phi3ConfigPhobertTokenizerPix2StructConfigPix2StructProcessorPix2StructTextConfigPix2StructVisionConfigPLBartConfigPoolFormerConfigPop2PianoConfigProphetNetConfigProphetNetTokenizer	PvtConfigPvtV2ConfigQwen2ConfigQwen2TokenizerQwen2MoeConfig	RagConfigRagRetrieverRagTokenizerRecurrentGemmaConfigReformerConfigRegNetConfigRemBertConfigResNetConfigRobertaConfigRobertaTokenizerRobertaPreLayerNormConfigRoCBertConfigRoCBertTokenizerRoFormerConfigRoFormerTokenizerRTDetrConfigRTDetrResNetConfig
RwkvConfig	SamConfigSamMaskDecoderConfigSamProcessorSamPromptEncoderConfigSamVisionConfigSeamlessM4TConfigSeamlessM4TFeatureExtractorSeamlessM4TProcessorSeamlessM4Tv2ConfigSegformerConfigSegGptConfig	SEWConfig
SEWDConfigSiglipConfigSiglipProcessorSiglipTextConfigSiglipVisionConfigSpeechEncoderDecoderConfigSpeech2TextConfigSpeech2TextFeatureExtractorSpeech2TextProcessorSpeechT5ConfigSpeechT5FeatureExtractorSpeechT5HifiGanConfigSpeechT5ProcessorSplinterConfigSplinterTokenizerSqueezeBertConfigSqueezeBertTokenizerStableLmConfigStarcoder2ConfigSuperPointConfigSwiftFormerConfig
SwinConfigSwin2SRConfigSwinv2ConfigSwitchTransformersConfigT5ConfigTableTransformerConfigTapasConfigTapasTokenizerTimeSeriesTransformerConfigTimesformerConfigTimmBackboneConfigTrOCRConfigTrOCRProcessor	TvpConfigTvpProcessor
UdopConfigUdopProcessor
UMT5ConfigUniSpeechConfigUniSpeechSatConfigUnivNetConfigUnivNetFeatureExtractorUperNetConfigVideoLlavaConfigVideoMAEConfig
ViltConfigViltFeatureExtractorViltImageProcessorViltProcessorVipLlavaConfigVisionEncoderDecoderConfigVisionTextDualEncoderConfigVisionTextDualEncoderProcessorVisualBertConfig	ViTConfigViTMAEConfigViTMSNConfigVitDetConfigVitMatteConfig
VitsConfigVitsTokenizerVivitConfigWav2Vec2ConfigWav2Vec2CTCTokenizerWav2Vec2FeatureExtractorWav2Vec2ProcessorWav2Vec2TokenizerWav2Vec2BertConfigWav2Vec2BertProcessorWav2Vec2ConformerConfigWav2Vec2PhonemeCTCTokenizerWav2Vec2ProcessorWithLMWavLMConfigWhisperConfigWhisperFeatureExtractorWhisperProcessorWhisperTokenizerXCLIPConfigXCLIPProcessorXCLIPTextConfigXCLIPVisionConfig
XGLMConfig	XLMConfigXLMTokenizerXLMRobertaConfigXLMRobertaXLConfigXLNetConfig
XmodConfigYolosConfig
YosoConfigZoeDepthConfigAudioClassificationPipeline"AutomaticSpeechRecognitionPipelineCsvPipelineDataFormatDepthEstimationPipeline!DocumentQuestionAnsweringPipelineFeatureExtractionPipelineFillMaskPipelineImageClassificationPipelineImageFeatureExtractionPipelineImageSegmentationPipelineImageToImagePipelineImageToTextPipelineJsonPipelineDataFormatMaskGenerationPipelineNerPipelineObjectDetectionPipelinePipedPipelineDataFormatPipelinePipelineDataFormatQuestionAnsweringPipelineSummarizationPipelineTableQuestionAnsweringPipelineText2TextGenerationPipelineTextClassificationPipelineTextGenerationPipelineTextToAudioPipelineTokenClassificationPipelineTranslationPipelineVideoClassificationPipelineVisualQuestionAnsweringPipeline#ZeroShotAudioClassificationPipelineZeroShotClassificationPipeline#ZeroShotImageClassificationPipelineZeroShotObjectDetectionPipelinepipelineProcessorMixinPreTrainedTokenizer
AddedTokenBatchEncodingCharSpanPreTrainedTokenizerBaseSpecialTokensMixin	TokenSpanDefaultFlowCallbackEarlyStoppingCallbackPrinterCallbackProgressCallbackTrainerCallbackTrainerControlTrainerStateEvalPredictionIntervalStrategySchedulerTypeenable_full_determinismset_seedTrainingArgumentsSeq2SeqTrainingArgumentsTFTrainingArgumentsCONFIG_NAMEMODEL_CARD_NAMEPYTORCH_PRETRAINED_BERT_CACHEPYTORCH_TRANSFORMERS_CACHESPIECE_UNDERLINETF2_WEIGHTS_NAMETF_WEIGHTS_NAMETRANSFORMERS_CACHEWEIGHTS_NAME
TensorTypeadd_end_docstringsadd_start_docstringsis_apex_availableis_av_availabler   is_datasets_availableis_decord_availableis_faiss_availabler	   r   is_phonemizer_availableis_psutil_availableis_py3nvml_availableis_pyctcdecode_availableis_sacremoses_availableis_safetensors_availabler   r   is_sklearn_availabler   r   r   r   r   r   is_torch_mlu_availableis_torch_neuroncore_availableis_torch_npu_availableis_torch_tpu_availabler   is_torch_xla_availableis_torch_xpu_availabler   r   
AqlmConfig	AwqConfigBitsAndBytesConfig
EetqConfigFbgemmFp8Config
GPTQConfig	HqqConfigQuantoConfig(A  agentsZaudio_utilsZ	benchmarkcommandsconfiguration_utilsZconvert_graph_to_onnxZ+convert_slow_tokenizers_checkpoints_to_fastZ)convert_tf_hub_seq_to_seq_bert_to_pytorchdatazdata.data_collatorzdata.metricszdata.processorsZdebug_utilsZ	deepspeedr   Zdependency_versions_tableZdynamic_module_utils!feature_extraction_sequence_utilsfeature_extraction_utilsZ
file_utils
generationhf_argparserZhyperparameter_searchZimage_transformsintegrations	modelcardmodeling_tf_pytorch_utilsmodelsmodels.albertmodels.alignmodels.altclip$models.audio_spectrogram_transformermodels.automodels.autoformermodels.barkmodels.bartmodels.barthezmodels.bartphomodels.beitmodels.bertmodels.bert_generationzmodels.bert_japanesezmodels.bertweetmodels.big_birdmodels.bigbird_pegasusmodels.biogpt
models.bitmodels.blenderbotmodels.blenderbot_smallmodels.blipmodels.blip_2models.bloommodels.bridgetowermodels.broszmodels.byt5models.camembertmodels.caninemodels.chameleonmodels.chinese_clipmodels.clapmodels.clipmodels.clipsegmodels.clvpmodels.code_llamamodels.codegenmodels.coheremodels.conditional_detrmodels.convbertmodels.convnextmodels.convnextv2
models.cpmmodels.cpmantmodels.ctrl
models.cvtmodels.data2vecmodels.dbrxmodels.debertamodels.deberta_v2models.decision_transformermodels.deformable_detrmodels.deitzmodels.deprecatedzmodels.deprecated.bortmodels.deprecated.deta!models.deprecated.efficientformermodels.deprecated.ernie_m!models.deprecated.gptsan_japanesemodels.deprecated.graphormermodels.deprecated.jukeboxmodels.deprecated.mctctmodels.deprecated.megamodels.deprecated.mmbtmodels.deprecated.natmodels.deprecated.nezhamodels.deprecated.open_llamamodels.deprecated.qdqbertmodels.deprecated.realmmodels.deprecated.retribert"models.deprecated.speech_to_text_2zmodels.deprecated.tapex(models.deprecated.trajectory_transformermodels.deprecated.transfo_xlmodels.deprecated.tvltmodels.deprecated.vanmodels.deprecated.vit_hybrid models.deprecated.xlm_prophetnetmodels.depth_anythingmodels.detrzmodels.dialogptmodels.dinatmodels.dinov2models.distilbertz
models.ditmodels.donut
models.dpr
models.dptmodels.efficientnetmodels.electramodels.encodecmodels.encoder_decodermodels.ernie
models.esmmodels.falconmodels.fastspeech2_conformermodels.flaubertmodels.flavamodels.fnetmodels.focalnetmodels.fsmtmodels.funnelmodels.fuyumodels.gemmamodels.gemma2
models.gitmodels.glpnmodels.gpt2models.gpt_bigcodemodels.gpt_neomodels.gpt_neoxmodels.gpt_neox_japanesemodels.gpt_sw3models.gptjmodels.grounding_dinomodels.groupvitmodels.herbertmodels.hieramodels.hubertmodels.ibertmodels.ideficsmodels.idefics2models.imagegptmodels.informermodels.instructblipmodels.instructblipvideomodels.jambamodels.jetmoemodels.kosmos2models.layoutlmmodels.layoutlmv2models.layoutlmv3models.layoutxlm
models.ledmodels.levitmodels.liltmodels.llamamodels.llavamodels.llava_nextmodels.llava_next_videomodels.longformermodels.longt5models.lukemodels.lxmertmodels.m2m_100models.mambamodels.mamba2models.marianmodels.markuplmmodels.mask2formermodels.maskformermodels.mbartmodels.mbart50models.megatron_bertzmodels.megatron_gpt2models.mgp_strmodels.mistralmodels.mixtralmodels.mlukemodels.mobilebertmodels.mobilenet_v1models.mobilenet_v2models.mobilevitmodels.mobilevitv2models.mpnet
models.mpt
models.mra
models.mt5models.musicgenmodels.musicgen_melody
models.mvpmodels.nemotronmodels.nllbmodels.nllb_moemodels.nougatmodels.nystromformermodels.olmomodels.oneformermodels.openai
models.optmodels.owlv2models.owlvitmodels.paligemmamodels.patchtsmixermodels.patchtstmodels.pegasusmodels.pegasus_xmodels.perceivermodels.persimmon
models.phimodels.phi3zmodels.phobertmodels.pix2structmodels.plbartmodels.poolformermodels.pop2pianomodels.prophetnet
models.pvtmodels.pvt_v2models.qwen2models.qwen2_moe
models.ragmodels.recurrent_gemmamodels.reformermodels.regnetmodels.rembertmodels.resnetmodels.robertamodels.roberta_prelayernormmodels.roc_bertmodels.roformermodels.rt_detrmodels.rwkv
models.sammodels.seamless_m4tmodels.seamless_m4t_v2models.segformermodels.seggpt
models.sewmodels.sew_dmodels.siglipmodels.speech_encoder_decodermodels.speech_to_textmodels.speecht5models.splintermodels.squeezebertmodels.stablelmmodels.starcoder2models.superpointmodels.swiftformermodels.swinmodels.swin2srmodels.swinv2models.switch_transformers	models.t5models.table_transformermodels.tapasmodels.time_series_transformermodels.timesformermodels.timm_backbonemodels.trocr
models.tvpmodels.udopmodels.umt5models.unispeechmodels.unispeech_satmodels.univnetmodels.upernetmodels.video_llavamodels.videomaemodels.viltmodels.vipllavamodels.vision_encoder_decodermodels.vision_text_dual_encodermodels.visual_bert
models.vitmodels.vit_maemodels.vit_msnmodels.vitdetmodels.vitmattemodels.vitsmodels.vivitmodels.wav2vec2models.wav2vec2_bertmodels.wav2vec2_conformerzmodels.wav2vec2_phonemezmodels.wav2vec2_with_lmmodels.wavlmmodels.whispermodels.x_clipmodels.xglm
models.xlmmodels.xlm_robertamodels.xlm_roberta_xlmodels.xlnetmodels.xmodmodels.yolosmodels.yosomodels.zoedepthZonnx	pipelinesprocessing_utilsZ
quantizersZtesting_utilstokenization_utilstokenization_utils_basetrainer_callbacktrainer_utilstraining_argstraining_args_seq2seqtraining_args_tfutilszutils.quantization_config)dummy_sentencepiece_objectsc                 C   s   g | ]}| d s|qS _
startswith.0name r  9/tmp/pip-unpacked-wheel-zw5xktn0/transformers/__init__.py
<listcomp>  s    
 r  z!utils.dummy_sentencepiece_objectsr  AlbertTokenizerr  BarthezTokenizerr  BartphoTokenizerr  BertGenerationTokenizerr  BigBirdTokenizerr  CamembertTokenizerr  CodeLlamaTokenizerr  CpmTokenizerr  DebertaV2Tokenizerr  ErnieMTokenizerr  XLMProphetNetTokenizerr  FNetTokenizerr  GemmaTokenizerr  GPTSw3Tokenizerr  LayoutXLMTokenizerr  LlamaTokenizerr%  M2M100Tokenizerr(  MarianTokenizerr,  MBartTokenizerr-  MBart50Tokenizerr2  MLukeTokenizerr;  MT5Tokenizerr@  NllbTokenizerrM  rT  PLBartTokenizerr^  ReformerTokenizerr`  RemBertTokenizerri  SeamlessM4TTokenizerro  SiglipTokenizerrq  Speech2TextTokenizerrr  SpeechT5Tokenizerr}  T5Tokenizerr  UdopTokenizerr  XGLMTokenizerr  XLMRobertaTokenizerr  XLNetTokenizer)dummy_tokenizers_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r    s    
 zutils.dummy_tokenizers_objectsAlbertTokenizerFastr  BartTokenizerFastBarthezTokenizerFastr  BertTokenizerFastBigBirdTokenizerFastr  BlenderbotTokenizerFastr  BlenderbotSmallTokenizerFastr  BloomTokenizerFastCamembertTokenizerFastr  CLIPTokenizerFastCodeLlamaTokenizerFastr  CodeGenTokenizerFastr  CohereTokenizerFastr  ConvBertTokenizerFastCpmTokenizerFastr  DebertaTokenizerFastDebertaV2TokenizerFastr  RealmTokenizerFastr  RetriBertTokenizerFastr  DistilBertTokenizerFastr  DPRContextEncoderTokenizerFastDPRQuestionEncoderTokenizerFastDPRReaderTokenizerFastr  ElectraTokenizerFastFNetTokenizerFastr  FunnelTokenizerFastGemmaTokenizerFastr   GPT2TokenizerFastr  GPTNeoXTokenizerFastr  GPTNeoXJapaneseTokenizerr	  HerbertTokenizerFastr  LayoutLMTokenizerFastr  LayoutLMv2TokenizerFastr  LayoutLMv3TokenizerFastLayoutXLMTokenizerFastr  LEDTokenizerFastLlamaTokenizerFastr!  LongformerTokenizerFastr$  LxmertTokenizerFastr)  MarkupLMTokenizerFastMBartTokenizerFastMBart50TokenizerFastr3  MobileBertTokenizerFastr8  MPNetTokenizerFastMT5TokenizerFastr>  MvpTokenizerFastNllbTokenizerFastrB  NougatTokenizerFastrF  OpenAIGPTTokenizerFastPegasusTokenizerFastrZ  Qwen2TokenizerFastReformerTokenizerFastRemBertTokenizerFastrb  RobertaTokenizerFastre  RoFormerTokenizerFastSeamlessM4TTokenizerFastrs  SplinterTokenizerFastrt  SqueezeBertTokenizerFastT5TokenizerFastUdopTokenizerFastr  WhisperTokenizerFastXGLMTokenizerFastXLMRobertaTokenizerFastXLNetTokenizerFastPreTrainedTokenizerFasttokenization_utils_fast)*dummy_sentencepiece_and_tokenizers_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r  =  s    
 z0utils.dummy_sentencepiece_and_tokenizers_objectsSLOW_TO_FAST_CONVERTERSconvert_slow_tokenizer)dummy_tensorflow_text_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r  M  s    
 z#utils.dummy_tensorflow_text_objectsTFBertTokenizer)dummy_keras_nlp_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r  Z  s    
 zutils.dummy_keras_nlp_objectsTFGPT2Tokenizer)dummy_vision_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r  g  s    
 zutils.dummy_vision_objectsImageProcessingMixinimage_processing_baseBaseImageProcessorimage_processing_utilsImageFeatureExtractionMixinimage_utilsr  BeitFeatureExtractorBeitImageProcessorr  BitImageProcessorr  BlipImageProcessorr  BridgeTowerImageProcessorr  ChameleonImageProcessorr  ChineseCLIPFeatureExtractorChineseCLIPImageProcessorCLIPFeatureExtractorCLIPImageProcessorr  ConditionalDetrFeatureExtractorConditionalDetrImageProcessorr  ConvNextFeatureExtractorConvNextImageProcessorr  DeformableDetrFeatureExtractorDeformableDetrImageProcessorr  DeiTFeatureExtractorDeiTImageProcessorr  DetaImageProcessorr  EfficientFormerImageProcessorr  TvltImageProcessorr  ViTHybridImageProcessorr  DetrFeatureExtractorDetrImageProcessorr  DonutFeatureExtractorDonutImageProcessorr  DPTFeatureExtractorDPTImageProcessorr  EfficientNetImageProcessorr  FlavaFeatureExtractorFlavaImageProcessorFlavaProcessorr  FuyuImageProcessorFuyuProcessorr  GLPNFeatureExtractorGLPNImageProcessorr  GroundingDinoImageProcessorr  IdeficsImageProcessorr  Idefics2ImageProcessorr  ImageGPTFeatureExtractorImageGPTImageProcessorr  InstructBlipVideoImageProcessorr  LevitFeatureExtractorLevitImageProcessorr  LlavaNextImageProcessorr   LlavaNextVideoImageProcessorr*  Mask2FormerImageProcessorr+  MaskFormerFeatureExtractorMaskFormerImageProcessorr4  MobileNetV1FeatureExtractorMobileNetV1ImageProcessorr5  MobileNetV2FeatureExtractorMobileNetV2ImageProcessorr6  MobileViTFeatureExtractorMobileViTImageProcessorNougatImageProcessorrE  OneFormerImageProcessorrH  Owlv2ImageProcessorrI  OwlViTFeatureExtractorOwlViTImageProcessorrO  PerceiverFeatureExtractorPerceiverImageProcessorrS  Pix2StructImageProcessorrU  PoolFormerFeatureExtractorPoolFormerImageProcessorrX  PvtImageProcessorrf  RTDetrImageProcessorrh  SamImageProcessorrk  SegformerFeatureExtractorSegformerImageProcessorrl  SegGptImageProcessorSiglipImageProcessorrw  SuperPointImageProcessorrz  Swin2SRImageProcessorr  TvpImageProcessorr  VideoLlavaImageProcessorr  VideoMAEFeatureExtractorVideoMAEImageProcessorr  r  ViTFeatureExtractorViTImageProcessorr  VitMatteImageProcessorr  VivitImageProcessorr  YolosFeatureExtractorYolosImageProcessorr  ZoeDepthImageProcessor)dummy_torchvision_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r    s    
 zutils.dummy_torchvision_objectsBaseImageProcessorFastimage_processing_utils_fastViTImageProcessorFast)dummy_pt_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r    s     
 zutils.dummy_pt_objectsZactivationsPyTorchBenchmarkzbenchmark.benchmarkPyTorchBenchmarkArgumentszbenchmark.benchmark_argsCacheCacheConfigDynamicCacheEncoderDecoderCacheHQQQuantizedCacheHybridCache
MambaCacheOffloadedCacheQuantizedCacheQuantizedCacheConfigQuantoQuantizedCache	SinkCacheSlidingWindowCacheStaticCachecache_utilsGlueDatasetGlueDataTrainingArgumentsLineByLineTextDatasetLineByLineWithRefDatasetLineByLineWithSOPTextDatasetSquadDatasetSquadDataTrainingArgumentsTextDataset$TextDatasetForNextSentencePredictionzdata.datasetsr  #AlternatingCodebooksLogitsProcessor
BeamScorerBeamSearchScorer%ClassifierFreeGuidanceLogitsProcessorConstrainedBeamSearchScorer
ConstraintConstraintListStateDisjunctiveConstraint#EncoderNoRepeatNGramLogitsProcessor'EncoderRepetitionPenaltyLogitsProcessorEosTokenCriteriaEpsilonLogitsWarperEtaLogitsWarperExponentialDecayLengthPenaltyForcedBOSTokenLogitsProcessorForcedEOSTokenLogitsProcessorForceTokensLogitsProcessorGenerationMixinHammingDiversityLogitsProcessorInfNanRemoveLogitsProcessorLogitNormalizationLogitsProcessorLogitsProcessorListLogitsWarperMaxLengthCriteriaMaxTimeCriteriaMinLengthLogitsProcessor!MinNewTokensLengthLogitsProcessorMinPLogitsWarperNoBadWordsLogitsProcessorNoRepeatNGramLogitsProcessorPhrasalConstraint PrefixConstrainedLogitsProcessor RepetitionPenaltyLogitsProcessorSequenceBiasLogitsProcessorStoppingCriteriaStoppingCriteriaListStopStringCriteria$SuppressTokensAtBeginLogitsProcessorSuppressTokensLogitsProcessorTemperatureLogitsWarperTopKLogitsWarperTopPLogitsWarperTypicalLogitsWarper.UnbatchedClassifierFreeGuidanceLogitsProcessorWatermarkDetectorWatermarkLogitsProcessorWhisperTimeStampLogitsProcessorZmodeling_flash_attention_utilsZmodeling_outputsROPE_INIT_FUNCTIONSmodeling_rope_utilsPreTrainedModelmodeling_utilsAlbertForMaskedLMAlbertForMultipleChoiceAlbertForPreTrainingAlbertForQuestionAnsweringAlbertForSequenceClassificationAlbertForTokenClassificationAlbertModelAlbertPreTrainedModelload_tf_weights_in_albertr  
AlignModelAlignPreTrainedModelAlignTextModelAlignVisionModelr  AltCLIPModelAltCLIPPreTrainedModelAltCLIPTextModelAltCLIPVisionModelr  ASTForAudioClassificationASTModelASTPreTrainedModelr  &MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPINGMODEL_FOR_AUDIO_XVECTOR_MAPPINGMODEL_FOR_BACKBONE_MAPPING'MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPINGMODEL_FOR_CAUSAL_LM_MAPPINGMODEL_FOR_CTC_MAPPING"MODEL_FOR_DEPTH_ESTIMATION_MAPPING-MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING&MODEL_FOR_IMAGE_CLASSIFICATION_MAPPINGMODEL_FOR_IMAGE_MAPPING$MODEL_FOR_IMAGE_SEGMENTATION_MAPPING MODEL_FOR_IMAGE_TO_IMAGE_MAPPING'MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING$MODEL_FOR_KEYPOINT_DETECTION_MAPPING'MODEL_FOR_MASKED_IMAGE_MODELING_MAPPINGMODEL_FOR_MASKED_LM_MAPPING!MODEL_FOR_MASK_GENERATION_MAPPING!MODEL_FOR_MULTIPLE_CHOICE_MAPPING*MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING"MODEL_FOR_OBJECT_DETECTION_MAPPINGMODEL_FOR_PRETRAINING_MAPPING$MODEL_FOR_QUESTION_ANSWERING_MAPPING'MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING&MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING)MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING"MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING*MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPINGMODEL_FOR_TEXT_ENCODING_MAPPING%MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING"MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING,MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING(MODEL_FOR_TIME_SERIES_REGRESSION_MAPPING&MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING(MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING&MODEL_FOR_VIDEO_CLASSIFICATION_MAPPINGMODEL_FOR_VISION_2_SEQ_MAPPING+MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING0MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPINGMODEL_MAPPINGMODEL_WITH_LM_HEAD_MAPPINGAutoBackbone	AutoModelAutoModelForAudioClassification$AutoModelForAudioFrameClassificationAutoModelForAudioXVectorAutoModelForCausalLMAutoModelForCTCAutoModelForDepthEstimation%AutoModelForDocumentQuestionAnsweringAutoModelForImageClassificationAutoModelForImageSegmentationAutoModelForImageToImage AutoModelForInstanceSegmentationAutoModelForKeypointDetectionAutoModelForMaskedImageModelingAutoModelForMaskedLMAutoModelForMaskGenerationAutoModelForMultipleChoice"AutoModelForNextSentencePredictionAutoModelForObjectDetectionAutoModelForPreTrainingAutoModelForQuestionAnswering AutoModelForSemanticSegmentationAutoModelForSeq2SeqLM"AutoModelForSequenceClassificationAutoModelForSpeechSeq2Seq"AutoModelForTableQuestionAnsweringAutoModelForTextEncodingAutoModelForTextToSpectrogramAutoModelForTextToWaveformAutoModelForTokenClassification!AutoModelForUniversalSegmentationAutoModelForVideoClassificationAutoModelForVision2Seq#AutoModelForVisualQuestionAnswering'AutoModelForZeroShotImageClassification#AutoModelForZeroShotObjectDetectionAutoModelWithLMHeadr  AutoformerForPredictionAutoformerModelAutoformerPreTrainedModelr  BarkCausalModelBarkCoarseModelBarkFineModel	BarkModelBarkPreTrainedModelBarkSemanticModelBartForCausalLMBartForConditionalGenerationBartForQuestionAnsweringBartForSequenceClassification	BartModelBartPretrainedModelBartPreTrainedModelPretrainedBartModelBeitBackboneBeitForImageClassificationBeitForMaskedImageModelingBeitForSemanticSegmentation	BeitModelBeitPreTrainedModelBertForMaskedLMBertForMultipleChoiceBertForNextSentencePredictionBertForPreTrainingBertForQuestionAnsweringBertForSequenceClassificationBertForTokenClassification	BertLayerBertLMHeadModel	BertModelBertPreTrainedModelload_tf_weights_in_bertBertGenerationDecoderBertGenerationEncoderBertGenerationPreTrainedModel"load_tf_weights_in_bert_generationBigBirdForCausalLMBigBirdForMaskedLMBigBirdForMultipleChoiceBigBirdForPreTrainingBigBirdForQuestionAnswering BigBirdForSequenceClassificationBigBirdForTokenClassificationBigBirdLayerBigBirdModelBigBirdPreTrainedModelload_tf_weights_in_big_birdr  BigBirdPegasusForCausalLM&BigBirdPegasusForConditionalGeneration"BigBirdPegasusForQuestionAnswering'BigBirdPegasusForSequenceClassificationBigBirdPegasusModelBigBirdPegasusPreTrainedModelr  BioGptForCausalLMBioGptForSequenceClassificationBioGptForTokenClassificationBioGptModelBioGptPreTrainedModelBitBackboneBitForImageClassificationBitModelBitPreTrainedModelBlenderbotForCausalLM"BlenderbotForConditionalGenerationBlenderbotModelBlenderbotPreTrainedModelBlenderbotSmallForCausalLM'BlenderbotSmallForConditionalGenerationBlenderbotSmallModelBlenderbotSmallPreTrainedModelBlipForConditionalGenerationBlipForImageTextRetrievalBlipForQuestionAnswering	BlipModelBlipPreTrainedModelBlipTextModelBlipVisionModelr  Blip2ForConditionalGeneration
Blip2ModelBlip2PreTrainedModelBlip2QFormerModelBlip2VisionModelBloomForCausalLMBloomForQuestionAnsweringBloomForSequenceClassificationBloomForTokenClassification
BloomModelBloomPreTrainedModel!BridgeTowerForContrastiveLearning#BridgeTowerForImageAndTextRetrievalBridgeTowerForMaskedLMBridgeTowerModelBridgeTowerPreTrainedModelr  BrosForTokenClassification	BrosModelBrosPreTrainedModel!BrosSpadeEEForTokenClassification!BrosSpadeELForTokenClassificationCamembertForCausalLMCamembertForMaskedLMCamembertForMultipleChoiceCamembertForQuestionAnswering"CamembertForSequenceClassificationCamembertForTokenClassificationCamembertModelCamembertPreTrainedModelr  CanineForMultipleChoiceCanineForQuestionAnsweringCanineForSequenceClassificationCanineForTokenClassificationCanineLayerCanineModelCaninePreTrainedModelload_tf_weights_in_canine!ChameleonForConditionalGenerationChameleonModelChameleonPreTrainedModelChameleonVQVAEChineseCLIPModelChineseCLIPPreTrainedModelChineseCLIPTextModelChineseCLIPVisionModelr  ClapAudioModelClapAudioModelWithProjectionClapFeatureExtractor	ClapModelClapPreTrainedModelClapTextModelClapTextModelWithProjectionCLIPForImageClassification	CLIPModelCLIPPreTrainedModelCLIPTextModelCLIPTextModelWithProjectionCLIPVisionModelCLIPVisionModelWithProjectionr  CLIPSegForImageSegmentationCLIPSegModelCLIPSegPreTrainedModelCLIPSegTextModelCLIPSegVisionModelr  ClvpDecoderClvpEncoderClvpForCausalLM	ClvpModel!ClvpModelForConditionalGenerationClvpPreTrainedModelCodeGenForCausalLMCodeGenModelCodeGenPreTrainedModelCohereForCausalLMCohereModelCoherePreTrainedModel!ConditionalDetrForObjectDetectionConditionalDetrForSegmentationConditionalDetrModelConditionalDetrPreTrainedModelConvBertForMaskedLMConvBertForMultipleChoiceConvBertForQuestionAnswering!ConvBertForSequenceClassificationConvBertForTokenClassificationConvBertLayerConvBertModelConvBertPreTrainedModelload_tf_weights_in_convbertConvNextBackboneConvNextForImageClassificationConvNextModelConvNextPreTrainedModelr  ConvNextV2Backbone ConvNextV2ForImageClassificationConvNextV2ModelConvNextV2PreTrainedModelr  CpmAntForCausalLMCpmAntModelCpmAntPreTrainedModelr  CTRLForSequenceClassificationCTRLLMHeadModel	CTRLModelCTRLPreTrainedModelr  CvtForImageClassificationCvtModelCvtPreTrainedModelr  (Data2VecAudioForAudioFrameClassificationData2VecAudioForCTC&Data2VecAudioForSequenceClassificationData2VecAudioForXVectorData2VecAudioModelData2VecAudioPreTrainedModelData2VecTextForCausalLMData2VecTextForMaskedLMData2VecTextForMultipleChoice Data2VecTextForQuestionAnswering%Data2VecTextForSequenceClassification"Data2VecTextForTokenClassificationData2VecTextModelData2VecTextPreTrainedModel$Data2VecVisionForImageClassification%Data2VecVisionForSemanticSegmentationData2VecVisionModelData2VecVisionPreTrainedModelr  DbrxForCausalLM	DbrxModelDbrxPreTrainedModelDebertaForMaskedLMDebertaForQuestionAnswering DebertaForSequenceClassificationDebertaForTokenClassificationDebertaModelDebertaPreTrainedModelDebertaV2ForMaskedLMDebertaV2ForMultipleChoiceDebertaV2ForQuestionAnswering"DebertaV2ForSequenceClassificationDebertaV2ForTokenClassificationDebertaV2ModelDebertaV2PreTrainedModelr  DecisionTransformerGPT2Model&DecisionTransformerGPT2PreTrainedModelDecisionTransformerModel"DecisionTransformerPreTrainedModel DeformableDetrForObjectDetectionDeformableDetrModelDeformableDetrPreTrainedModelDeiTForImageClassification%DeiTForImageClassificationWithTeacherDeiTForMaskedImageModeling	DeiTModelDeiTPreTrainedModelDetaForObjectDetection	DetaModelDetaPreTrainedModel%EfficientFormerForImageClassification0EfficientFormerForImageClassificationWithTeacherEfficientFormerModelEfficientFormerPreTrainedModelErnieMForInformationExtractionErnieMForMultipleChoiceErnieMForQuestionAnsweringErnieMForSequenceClassificationErnieMForTokenClassificationErnieMModelErnieMPreTrainedModelr  &GPTSanJapaneseForConditionalGenerationGPTSanJapaneseModelGPTSanJapanesePreTrainedModelr   GraphormerForGraphClassificationGraphormerModelGraphormerPreTrainedModelr  JukeboxModelJukeboxPreTrainedModelJukeboxPriorJukeboxVQVAEr  MCTCTForCTC
MCTCTModelMCTCTPreTrainedModelr  MegaForCausalLMMegaForMaskedLMMegaForMultipleChoiceMegaForQuestionAnsweringMegaForSequenceClassificationMegaForTokenClassification	MegaModelMegaPreTrainedModelr  MMBTForClassification	MMBTModelModalEmbeddingsr  NatBackboneNatForImageClassificationNatModelNatPreTrainedModelr  NezhaForMaskedLMNezhaForMultipleChoiceNezhaForNextSentencePredictionNezhaForPreTrainingNezhaForQuestionAnsweringNezhaForSequenceClassificationNezhaForTokenClassification
NezhaModelNezhaPreTrainedModelr  OpenLlamaForCausalLM"OpenLlamaForSequenceClassificationOpenLlamaModelOpenLlamaPreTrainedModelr  QDQBertForMaskedLMQDQBertForMultipleChoice QDQBertForNextSentencePredictionQDQBertForQuestionAnswering QDQBertForSequenceClassificationQDQBertForTokenClassificationQDQBertLayerQDQBertLMHeadModelQDQBertModelQDQBertPreTrainedModelload_tf_weights_in_qdqbertRealmEmbedderRealmForOpenQARealmKnowledgeAugEncoderRealmPreTrainedModelRealmReaderRealmRetrieverRealmScorerload_tf_weights_in_realmRetriBertModelRetriBertPreTrainedModelr  Speech2Text2ForCausalLMSpeech2Text2PreTrainedModelr  TrajectoryTransformerModel$TrajectoryTransformerPreTrainedModelr  AdaptiveEmbedding"TransfoXLForSequenceClassificationTransfoXLLMHeadModelTransfoXLModelTransfoXLPreTrainedModelload_tf_weights_in_transfo_xl TvltForAudioVisualClassificationTvltForPreTraining	TvltModelTvltPreTrainedModelr  VanForImageClassificationVanModelVanPreTrainedModelViTHybridForImageClassificationViTHybridModelViTHybridPreTrainedModelXLMProphetNetDecoderXLMProphetNetEncoderXLMProphetNetForCausalLM%XLMProphetNetForConditionalGenerationXLMProphetNetModelXLMProphetNetPreTrainedModelr  DepthAnythingForDepthEstimationDepthAnythingPreTrainedModelDetrForObjectDetectionDetrForSegmentation	DetrModelDetrPreTrainedModelr  DinatBackboneDinatForImageClassification
DinatModelDinatPreTrainedModelr  Dinov2BackboneDinov2ForImageClassificationDinov2ModelDinov2PreTrainedModelDistilBertForMaskedLMDistilBertForMultipleChoiceDistilBertForQuestionAnswering#DistilBertForSequenceClassification DistilBertForTokenClassificationDistilBertModelDistilBertPreTrainedModelDonutSwinModelDonutSwinPreTrainedModelDPRContextEncoderDPRPretrainedContextEncoderDPRPreTrainedModelDPRPretrainedQuestionEncoderDPRPretrainedReaderDPRQuestionEncoder	DPRReaderDPTForDepthEstimationDPTForSemanticSegmentationDPTModelDPTPreTrainedModel"EfficientNetForImageClassificationEfficientNetModelEfficientNetPreTrainedModelElectraForCausalLMElectraForMaskedLMElectraForMultipleChoiceElectraForPreTrainingElectraForQuestionAnswering ElectraForSequenceClassificationElectraForTokenClassificationElectraModelElectraPreTrainedModelload_tf_weights_in_electrar  EncodecModelEncodecPreTrainedModelr  EncoderDecoderModelr  ErnieForCausalLMErnieForMaskedLMErnieForMultipleChoiceErnieForNextSentencePredictionErnieForPreTrainingErnieForQuestionAnsweringErnieForSequenceClassificationErnieForTokenClassification
ErnieModelErniePreTrainedModelr  EsmFoldPreTrainedModelEsmForMaskedLMEsmForProteinFoldingEsmForSequenceClassificationEsmForTokenClassificationEsmModelEsmPreTrainedModelr  FalconForCausalLMFalconForQuestionAnsweringFalconForSequenceClassificationFalconForTokenClassificationFalconModelFalconPreTrainedModelr  FastSpeech2ConformerHifiGanFastSpeech2ConformerModel#FastSpeech2ConformerPreTrainedModelFastSpeech2ConformerWithHifiGanr  FlaubertForMultipleChoiceFlaubertForQuestionAnswering"FlaubertForQuestionAnsweringSimple!FlaubertForSequenceClassificationFlaubertForTokenClassificationFlaubertModelFlaubertPreTrainedModelFlaubertWithLMHeadModelFlavaForPreTrainingFlavaImageCodebookFlavaImageModel
FlavaModelFlavaMultimodalModelFlavaPreTrainedModelFlavaTextModelFNetForMaskedLMFNetForMultipleChoiceFNetForNextSentencePredictionFNetForPreTrainingFNetForQuestionAnsweringFNetForSequenceClassificationFNetForTokenClassification	FNetLayer	FNetModelFNetPreTrainedModelr  FocalNetBackboneFocalNetForImageClassificationFocalNetForMaskedImageModelingFocalNetModelFocalNetPreTrainedModelr  FSMTForConditionalGeneration	FSMTModelPretrainedFSMTModelFunnelBaseModelFunnelForMaskedLMFunnelForMultipleChoiceFunnelForPreTrainingFunnelForQuestionAnsweringFunnelForSequenceClassificationFunnelForTokenClassificationFunnelModelFunnelPreTrainedModelload_tf_weights_in_funnelFuyuForCausalLMFuyuPreTrainedModelGemmaForCausalLMGemmaForSequenceClassificationGemmaForTokenClassification
GemmaModelGemmaPreTrainedModelr  Gemma2ForCausalLMGemma2ForSequenceClassificationGemma2ForTokenClassificationGemma2ModelGemma2PreTrainedModelr  GitForCausalLMGitModelGitPreTrainedModelGitVisionModelGLPNForDepthEstimation	GLPNModelGLPNPreTrainedModelGPT2DoubleHeadsModelGPT2ForQuestionAnsweringGPT2ForSequenceClassificationGPT2ForTokenClassificationGPT2LMHeadModel	GPT2ModelGPT2PreTrainedModelload_tf_weights_in_gpt2r  GPTBigCodeForCausalLM#GPTBigCodeForSequenceClassification GPTBigCodeForTokenClassificationGPTBigCodeModelGPTBigCodePreTrainedModelr  GPTNeoForCausalLMGPTNeoForQuestionAnsweringGPTNeoForSequenceClassificationGPTNeoForTokenClassificationGPTNeoModelGPTNeoPreTrainedModelload_tf_weights_in_gpt_neoGPTNeoXForCausalLMGPTNeoXForQuestionAnswering GPTNeoXForSequenceClassificationGPTNeoXForTokenClassificationGPTNeoXLayerGPTNeoXModelGPTNeoXPreTrainedModelGPTNeoXJapaneseForCausalLMGPTNeoXJapaneseLayerGPTNeoXJapaneseModelGPTNeoXJapanesePreTrainedModelr  GPTJForCausalLMGPTJForQuestionAnsweringGPTJForSequenceClassification	GPTJModelGPTJPreTrainedModelGroundingDinoForObjectDetectionGroundingDinoModelGroundingDinoPreTrainedModelr  GroupViTModelGroupViTPreTrainedModelGroupViTTextModelGroupViTVisionModelr
  HieraBackboneHieraForImageClassificationHieraForPreTraining
HieraModelHieraPreTrainedModelr  HubertForCTCHubertForSequenceClassificationHubertModelHubertPreTrainedModelr  IBertForMaskedLMIBertForMultipleChoiceIBertForQuestionAnsweringIBertForSequenceClassificationIBertForTokenClassification
IBertModelIBertPreTrainedModelIdeficsForVisionText2TextIdeficsModelIdeficsPreTrainedModelIdeficsProcessor Idefics2ForConditionalGenerationIdefics2ModelIdefics2PreTrainedModelIdefics2ProcessorImageGPTForCausalImageModelingImageGPTForImageClassificationImageGPTModelImageGPTPreTrainedModelload_tf_weights_in_imagegptr  InformerForPredictionInformerModelInformerPreTrainedModelr  $InstructBlipForConditionalGenerationInstructBlipPreTrainedModelInstructBlipQFormerModelInstructBlipVisionModel)InstructBlipVideoForConditionalGeneration InstructBlipVideoPreTrainedModelInstructBlipVideoQFormerModelInstructBlipVideoVisionModelr  JambaForCausalLMJambaForSequenceClassification
JambaModelJambaPreTrainedModelr  JetMoeForCausalLMJetMoeForSequenceClassificationJetMoeModelJetMoePreTrainedModelr  Kosmos2ForConditionalGenerationKosmos2ModelKosmos2PreTrainedModelLayoutLMForMaskedLMLayoutLMForQuestionAnswering!LayoutLMForSequenceClassificationLayoutLMForTokenClassificationLayoutLMModelLayoutLMPreTrainedModelLayoutLMv2ForQuestionAnswering#LayoutLMv2ForSequenceClassification LayoutLMv2ForTokenClassificationLayoutLMv2ModelLayoutLMv2PreTrainedModelLayoutLMv3ForQuestionAnswering#LayoutLMv3ForSequenceClassification LayoutLMv3ForTokenClassificationLayoutLMv3ModelLayoutLMv3PreTrainedModelLEDForConditionalGenerationLEDForQuestionAnsweringLEDForSequenceClassificationLEDModelLEDPreTrainedModelLevitForImageClassification&LevitForImageClassificationWithTeacher
LevitModelLevitPreTrainedModelr  LiltForQuestionAnsweringLiltForSequenceClassificationLiltForTokenClassification	LiltModelLiltPreTrainedModelLlamaForCausalLMLlamaForQuestionAnsweringLlamaForSequenceClassificationLlamaForTokenClassification
LlamaModelLlamaPreTrainedModelr  LlavaForConditionalGenerationLlavaPreTrainedModel!LlavaNextForConditionalGenerationLlavaNextPreTrainedModel&LlavaNextVideoForConditionalGenerationLlavaNextVideoPreTrainedModelLongformerForMaskedLMLongformerForMultipleChoiceLongformerForQuestionAnswering#LongformerForSequenceClassification LongformerForTokenClassificationLongformerModelLongformerPreTrainedModelLongformerSelfAttentionr"  LongT5EncoderModelLongT5ForConditionalGenerationLongT5ModelLongT5PreTrainedModelr#  LukeForEntityClassificationLukeForEntityPairClassificationLukeForEntitySpanClassificationLukeForMaskedLMLukeForMultipleChoiceLukeForQuestionAnsweringLukeForSequenceClassificationLukeForTokenClassification	LukeModelLukePreTrainedModelLxmertEncoderLxmertForPreTrainingLxmertForQuestionAnsweringLxmertModelLxmertPreTrainedModelLxmertVisualFeatureEncoderLxmertXLayerM2M100ForConditionalGenerationM2M100ModelM2M100PreTrainedModelr&  MambaForCausalLM
MambaModelMambaPreTrainedModelr'  Mamba2ForCausalLMMamba2ModelMamba2PreTrainedModelMarianForCausalLMMarianModelMarianMTModelMarkupLMForQuestionAnswering!MarkupLMForSequenceClassificationMarkupLMForTokenClassificationMarkupLMModelMarkupLMPreTrainedModel#Mask2FormerForUniversalSegmentationMask2FormerModelMask2FormerPreTrainedModel!MaskFormerForInstanceSegmentationMaskFormerModelMaskFormerPreTrainedModelMaskFormerSwinBackboneMBartForCausalLMMBartForConditionalGenerationMBartForQuestionAnsweringMBartForSequenceClassification
MBartModelMBartPreTrainedModelr.  MegatronBertForCausalLMMegatronBertForMaskedLMMegatronBertForMultipleChoice%MegatronBertForNextSentencePredictionMegatronBertForPreTraining MegatronBertForQuestionAnswering%MegatronBertForSequenceClassification"MegatronBertForTokenClassificationMegatronBertModelMegatronBertPreTrainedModelr/  MgpstrForSceneTextRecognitionMgpstrModelMgpstrPreTrainedModelr0  MistralForCausalLM MistralForSequenceClassificationMistralForTokenClassificationMistralModelMistralPreTrainedModelr1  MixtralForCausalLM MixtralForSequenceClassificationMixtralForTokenClassificationMixtralModelMixtralPreTrainedModelMobileBertForMaskedLMMobileBertForMultipleChoice#MobileBertForNextSentencePredictionMobileBertForPreTrainingMobileBertForQuestionAnswering#MobileBertForSequenceClassification MobileBertForTokenClassificationMobileBertLayerMobileBertModelMobileBertPreTrainedModelload_tf_weights_in_mobilebert!MobileNetV1ForImageClassificationMobileNetV1ModelMobileNetV1PreTrainedModelload_tf_weights_in_mobilenet_v1!MobileNetV2ForImageClassification"MobileNetV2ForSemanticSegmentationMobileNetV2ModelMobileNetV2PreTrainedModelload_tf_weights_in_mobilenet_v2MobileViTForImageClassification MobileViTForSemanticSegmentationMobileViTModelMobileViTPreTrainedModelr7  !MobileViTV2ForImageClassification"MobileViTV2ForSemanticSegmentationMobileViTV2ModelMobileViTV2PreTrainedModelMPNetForMaskedLMMPNetForMultipleChoiceMPNetForQuestionAnsweringMPNetForSequenceClassificationMPNetForTokenClassification
MPNetLayer
MPNetModelMPNetPreTrainedModelr9  MptForCausalLMMptForQuestionAnsweringMptForSequenceClassificationMptForTokenClassificationMptModelMptPreTrainedModelr:  MraForMaskedLMMraForMultipleChoiceMraForQuestionAnsweringMraForSequenceClassificationMraForTokenClassificationMraModelMraPreTrainedModelMT5EncoderModelMT5ForConditionalGenerationMT5ForQuestionAnsweringMT5ForSequenceClassificationMT5ForTokenClassificationMT5ModelMT5PreTrainedModelr<  MusicgenForCausalLM MusicgenForConditionalGenerationMusicgenModelMusicgenPreTrainedModelMusicgenProcessorr=  MusicgenMelodyForCausalLM&MusicgenMelodyForConditionalGenerationMusicgenMelodyModelMusicgenMelodyPreTrainedModelMvpForCausalLMMvpForConditionalGenerationMvpForQuestionAnsweringMvpForSequenceClassificationMvpModelMvpPreTrainedModelr?  NemotronForCausalLMNemotronForQuestionAnswering!NemotronForSequenceClassificationNemotronForTokenClassificationNemotronModelNemotronPreTrainedModelrA  NllbMoeForConditionalGenerationNllbMoeModelNllbMoePreTrainedModelNllbMoeSparseMLPNllbMoeTop2RouterrC  NystromformerForMaskedLMNystromformerForMultipleChoice!NystromformerForQuestionAnswering&NystromformerForSequenceClassification#NystromformerForTokenClassificationNystromformerLayerNystromformerModelNystromformerPreTrainedModelrD  OlmoForCausalLM	OlmoModelOlmoPreTrainedModel!OneFormerForUniversalSegmentationOneFormerModelOneFormerPreTrainedModelOpenAIGPTDoubleHeadsModel"OpenAIGPTForSequenceClassificationOpenAIGPTLMHeadModelOpenAIGPTModelOpenAIGPTPreTrainedModelload_tf_weights_in_openai_gptrG  OPTForCausalLMOPTForQuestionAnsweringOPTForSequenceClassificationOPTModelOPTPreTrainedModelOwlv2ForObjectDetection
Owlv2ModelOwlv2PreTrainedModelOwlv2TextModelOwlv2VisionModelOwlViTForObjectDetectionOwlViTModelOwlViTPreTrainedModelOwlViTTextModelOwlViTVisionModelrJ  !PaliGemmaForConditionalGenerationPaliGemmaPreTrainedModelPaliGemmaProcessorrK  PatchTSMixerForPredictionPatchTSMixerForPretrainingPatchTSMixerForRegression'PatchTSMixerForTimeSeriesClassificationPatchTSMixerModelPatchTSMixerPreTrainedModelrL  PatchTSTForClassificationPatchTSTForPredictionPatchTSTForPretrainingPatchTSTForRegressionPatchTSTModelPatchTSTPreTrainedModelPegasusForCausalLMPegasusForConditionalGenerationPegasusModelPegasusPreTrainedModelrN   PegasusXForConditionalGenerationPegasusXModelPegasusXPreTrainedModel-PerceiverForImageClassificationConvProcessing&PerceiverForImageClassificationFourier&PerceiverForImageClassificationLearnedPerceiverForMaskedLM"PerceiverForMultimodalAutoencodingPerceiverForOpticalFlow"PerceiverForSequenceClassificationPerceiverLayerPerceiverModelPerceiverPreTrainedModelrP  PersimmonForCausalLM"PersimmonForSequenceClassificationPersimmonForTokenClassificationPersimmonModelPersimmonPreTrainedModelrQ  PhiForCausalLMPhiForSequenceClassificationPhiForTokenClassificationPhiModelPhiPreTrainedModelrR  Phi3ForCausalLMPhi3ForSequenceClassificationPhi3ForTokenClassification	Phi3ModelPhi3PreTrainedModel"Pix2StructForConditionalGenerationPix2StructPreTrainedModelPix2StructTextModelPix2StructVisionModelPLBartForCausalLMPLBartForConditionalGenerationPLBartForSequenceClassificationPLBartModelPLBartPreTrainedModel PoolFormerForImageClassificationPoolFormerModelPoolFormerPreTrainedModelrV  !Pop2PianoForConditionalGenerationPop2PianoPreTrainedModelrW  ProphetNetDecoderProphetNetEncoderProphetNetForCausalLM"ProphetNetForConditionalGenerationProphetNetModelProphetNetPreTrainedModelPvtForImageClassificationPvtModelPvtPreTrainedModelrY  PvtV2BackbonePvtV2ForImageClassification
PvtV2ModelPvtV2PreTrainedModelQwen2ForCausalLMQwen2ForSequenceClassificationQwen2ForTokenClassification
Qwen2ModelQwen2PreTrainedModelr[  Qwen2MoeForCausalLM!Qwen2MoeForSequenceClassificationQwen2MoeForTokenClassificationQwen2MoeModelQwen2MoePreTrainedModelr\  RagModelRagPreTrainedModelRagSequenceForGenerationRagTokenForGenerationr]  RecurrentGemmaForCausalLMRecurrentGemmaModelRecurrentGemmaPreTrainedModelReformerAttentionReformerForMaskedLMReformerForQuestionAnswering!ReformerForSequenceClassificationReformerLayerReformerModelReformerModelWithLMHeadReformerPreTrainedModelr_  RegNetForImageClassificationRegNetModelRegNetPreTrainedModelRemBertForCausalLMRemBertForMaskedLMRemBertForMultipleChoiceRemBertForQuestionAnswering RemBertForSequenceClassificationRemBertForTokenClassificationRemBertLayerRemBertModelRemBertPreTrainedModelload_tf_weights_in_rembertra  ResNetBackboneResNetForImageClassificationResNetModelResNetPreTrainedModelRobertaForCausalLMRobertaForMaskedLMRobertaForMultipleChoiceRobertaForQuestionAnswering RobertaForSequenceClassificationRobertaForTokenClassificationRobertaModelRobertaPreTrainedModelrc  RobertaPreLayerNormForCausalLMRobertaPreLayerNormForMaskedLM$RobertaPreLayerNormForMultipleChoice'RobertaPreLayerNormForQuestionAnswering,RobertaPreLayerNormForSequenceClassification)RobertaPreLayerNormForTokenClassificationRobertaPreLayerNormModel"RobertaPreLayerNormPreTrainedModelrd  RoCBertForCausalLMRoCBertForMaskedLMRoCBertForMultipleChoiceRoCBertForPreTrainingRoCBertForQuestionAnswering RoCBertForSequenceClassificationRoCBertForTokenClassificationRoCBertLayerRoCBertModelRoCBertPreTrainedModelload_tf_weights_in_roc_bertRoFormerForCausalLMRoFormerForMaskedLMRoFormerForMultipleChoiceRoFormerForQuestionAnswering!RoFormerForSequenceClassificationRoFormerForTokenClassificationRoFormerLayerRoFormerModelRoFormerPreTrainedModelload_tf_weights_in_roformerRTDetrForObjectDetectionRTDetrModelRTDetrPreTrainedModelRTDetrResNetBackboneRTDetrResNetPreTrainedModelrg  RwkvForCausalLM	RwkvModelRwkvPreTrainedModelSamModelSamPreTrainedModelSeamlessM4TCodeHifiGanSeamlessM4TForSpeechToSpeechSeamlessM4TForSpeechToTextSeamlessM4TForTextToSpeechSeamlessM4TForTextToTextSeamlessM4THifiGanSeamlessM4TModelSeamlessM4TPreTrainedModel-SeamlessM4TTextToUnitForConditionalGenerationSeamlessM4TTextToUnitModelrj  SeamlessM4Tv2ForSpeechToSpeechSeamlessM4Tv2ForSpeechToTextSeamlessM4Tv2ForTextToSpeechSeamlessM4Tv2ForTextToTextSeamlessM4Tv2ModelSeamlessM4Tv2PreTrainedModelSegformerDecodeHeadSegformerForImageClassification SegformerForSemanticSegmentationSegformerLayerSegformerModelSegformerPreTrainedModelSegGptForImageSegmentationSegGptModelSegGptPreTrainedModelrm  	SEWForCTCSEWForSequenceClassificationSEWModelSEWPreTrainedModelrn  
SEWDForCTCSEWDForSequenceClassification	SEWDModelSEWDPreTrainedModelSiglipForImageClassificationSiglipModelSiglipPreTrainedModelSiglipTextModelSiglipVisionModelrp  SpeechEncoderDecoderModel#Speech2TextForConditionalGenerationSpeech2TextModelSpeech2TextPreTrainedModelSpeechT5ForSpeechToSpeechSpeechT5ForSpeechToTextSpeechT5ForTextToSpeechSpeechT5HifiGanSpeechT5ModelSpeechT5PreTrainedModelSplinterForPreTrainingSplinterForQuestionAnsweringSplinterLayerSplinterModelSplinterPreTrainedModelSqueezeBertForMaskedLMSqueezeBertForMultipleChoiceSqueezeBertForQuestionAnswering$SqueezeBertForSequenceClassification!SqueezeBertForTokenClassificationSqueezeBertModelSqueezeBertModuleSqueezeBertPreTrainedModelru  StableLmForCausalLM!StableLmForSequenceClassificationStableLmForTokenClassificationStableLmModelStableLmPreTrainedModelrv  Starcoder2ForCausalLM#Starcoder2ForSequenceClassification Starcoder2ForTokenClassificationStarcoder2ModelStarcoder2PreTrainedModelSuperPointForKeypointDetectionSuperPointPreTrainedModelrx  !SwiftFormerForImageClassificationSwiftFormerModelSwiftFormerPreTrainedModelry  SwinBackboneSwinForImageClassificationSwinForMaskedImageModeling	SwinModelSwinPreTrainedModelSwin2SRForImageSuperResolutionSwin2SRModelSwin2SRPreTrainedModelr{  Swinv2BackboneSwinv2ForImageClassificationSwinv2ForMaskedImageModelingSwinv2ModelSwinv2PreTrainedModelr|  SwitchTransformersEncoderModel*SwitchTransformersForConditionalGenerationSwitchTransformersModel!SwitchTransformersPreTrainedModelSwitchTransformersSparseMLPSwitchTransformersTop1RouterT5EncoderModelT5ForConditionalGenerationT5ForQuestionAnsweringT5ForSequenceClassificationT5ForTokenClassificationT5ModelT5PreTrainedModelload_tf_weights_in_t5r~  "TableTransformerForObjectDetectionTableTransformerModelTableTransformerPreTrainedModelr  TapasForMaskedLMTapasForQuestionAnsweringTapasForSequenceClassification
TapasModelTapasPreTrainedModelload_tf_weights_in_tapasr  "TimeSeriesTransformerForPredictionTimeSeriesTransformerModel$TimeSeriesTransformerPreTrainedModelr  !TimesformerForVideoClassificationTimesformerModelTimesformerPreTrainedModelr  TimmBackboner  TrOCRForCausalLMTrOCRPreTrainedModelTvpForVideoGroundingTvpModelTvpPreTrainedModelUdopEncoderModelUdopForConditionalGeneration	UdopModelUdopPreTrainedModelr  UMT5EncoderModelUMT5ForConditionalGenerationUMT5ForQuestionAnsweringUMT5ForSequenceClassificationUMT5ForTokenClassification	UMT5ModelUMT5PreTrainedModelr  UniSpeechForCTCUniSpeechForPreTraining"UniSpeechForSequenceClassificationUniSpeechModelUniSpeechPreTrainedModelr  'UniSpeechSatForAudioFrameClassificationUniSpeechSatForCTCUniSpeechSatForPreTraining%UniSpeechSatForSequenceClassificationUniSpeechSatForXVectorUniSpeechSatModelUniSpeechSatPreTrainedModelr  UnivNetModelr  UperNetForSemanticSegmentationUperNetPreTrainedModel"VideoLlavaForConditionalGenerationVideoLlavaPreTrainedModelVideoLlavaProcessorVideoMAEForPreTrainingVideoMAEForVideoClassificationVideoMAEModelVideoMAEPreTrainedModelViltForImageAndTextRetrieval"ViltForImagesAndTextClassificationViltForMaskedLMViltForQuestionAnsweringViltForTokenClassification	ViltLayer	ViltModelViltPreTrainedModelr   VipLlavaForConditionalGenerationVipLlavaPreTrainedModelr  VisionEncoderDecoderModelr  VisionTextDualEncoderModelr  VisualBertForMultipleChoiceVisualBertForPreTrainingVisualBertForQuestionAnswering$VisualBertForRegionToPhraseAlignmentVisualBertForVisualReasoningVisualBertLayerVisualBertModelVisualBertPreTrainedModelViTForImageClassificationViTForMaskedImageModelingViTModelViTPreTrainedModelr  ViTMAEForPreTrainingViTMAELayerViTMAEModelViTMAEPreTrainedModelr  ViTMSNForImageClassificationViTMSNModelViTMSNPreTrainedModelr  VitDetBackboneVitDetModelVitDetPreTrainedModelVitMatteForImageMattingVitMattePreTrainedModelr  	VitsModelVitsPreTrainedModelVivitForVideoClassification
VivitModelVivitPreTrainedModelr  #Wav2Vec2ForAudioFrameClassificationWav2Vec2ForCTCWav2Vec2ForMaskedLMWav2Vec2ForPreTraining!Wav2Vec2ForSequenceClassificationWav2Vec2ForXVectorWav2Vec2ModelWav2Vec2PreTrainedModelr  'Wav2Vec2BertForAudioFrameClassificationWav2Vec2BertForCTC%Wav2Vec2BertForSequenceClassificationWav2Vec2BertForXVectorWav2Vec2BertModelWav2Vec2BertPreTrainedModelr  ,Wav2Vec2ConformerForAudioFrameClassificationWav2Vec2ConformerForCTCWav2Vec2ConformerForPreTraining*Wav2Vec2ConformerForSequenceClassificationWav2Vec2ConformerForXVectorWav2Vec2ConformerModel Wav2Vec2ConformerPreTrainedModelr   WavLMForAudioFrameClassificationWavLMForCTCWavLMForSequenceClassificationWavLMForXVector
WavLMModelWavLMPreTrainedModelWhisperForAudioClassificationWhisperForCausalLMWhisperForConditionalGenerationWhisperModelWhisperPreTrainedModelr  
XCLIPModelXCLIPPreTrainedModelXCLIPTextModelXCLIPVisionModelXGLMForCausalLM	XGLMModelXGLMPreTrainedModelr  XLMForMultipleChoiceXLMForQuestionAnsweringXLMForQuestionAnsweringSimpleXLMForSequenceClassificationXLMForTokenClassificationXLMModelXLMPreTrainedModelXLMWithLMHeadModelXLMRobertaForCausalLMXLMRobertaForMaskedLMXLMRobertaForMultipleChoiceXLMRobertaForQuestionAnswering#XLMRobertaForSequenceClassification XLMRobertaForTokenClassificationXLMRobertaModelXLMRobertaPreTrainedModelr  XLMRobertaXLForCausalLMXLMRobertaXLForMaskedLMXLMRobertaXLForMultipleChoice XLMRobertaXLForQuestionAnswering%XLMRobertaXLForSequenceClassification"XLMRobertaXLForTokenClassificationXLMRobertaXLModelXLMRobertaXLPreTrainedModelXLNetForMultipleChoiceXLNetForQuestionAnsweringXLNetForQuestionAnsweringSimpleXLNetForSequenceClassificationXLNetForTokenClassificationXLNetLMHeadModel
XLNetModelXLNetPreTrainedModelload_tf_weights_in_xlnetr  XmodForCausalLMXmodForMaskedLMXmodForMultipleChoiceXmodForQuestionAnsweringXmodForSequenceClassificationXmodForTokenClassification	XmodModelXmodPreTrainedModelYolosForObjectDetection
YolosModelYolosPreTrainedModelr  YosoForMaskedLMYosoForMultipleChoiceYosoForQuestionAnsweringYosoForSequenceClassificationYosoForTokenClassification	YosoLayer	YosoModelYosoPreTrainedModelZoeDepthForDepthEstimationZoeDepthPreTrainedModel	AdafactorAdamWget_constant_schedule!get_constant_schedule_with_warmupget_cosine_schedule_with_warmup2get_cosine_with_hard_restarts_schedule_with_warmupget_inverse_sqrt_scheduleget_linear_schedule_with_warmup)get_polynomial_decay_schedule_with_warmupget_schedulerget_wsd_scheduleoptimizationConv1Dapply_chunking_to_forwardprune_layerpytorch_utilsZ	sagemakerZtime_series_utilsTrainertrainertorch_distributed_zero_firsttrainer_pt_utilsSeq2SeqTrainertrainer_seq2seq)dummy_tf_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r  a  s     
 zutils.dummy_tf_objectsZactivations_tfTensorFlowBenchmarkArgumentszbenchmark.benchmark_args_tfTensorFlowBenchmarkzbenchmark.benchmark_tfTFForcedBOSTokenLogitsProcessorTFForcedEOSTokenLogitsProcessorTFForceTokensLogitsProcessorTFGenerationMixinTFLogitsProcessorTFLogitsProcessorListTFLogitsWarperTFMinLengthLogitsProcessorTFNoBadWordsLogitsProcessorTFNoRepeatNGramLogitsProcessor"TFRepetitionPenaltyLogitsProcessor&TFSuppressTokensAtBeginLogitsProcessorTFSuppressTokensLogitsProcessorTFTemperatureLogitsWarperTFTopKLogitsWarperTFTopPLogitsWarperKerasMetricCallbackPushToHubCallbackkeras_callbacksZmodeling_tf_outputsTFPreTrainedModelTFSequenceSummaryTFSharedEmbeddings
shape_listmodeling_tf_utilsTFAlbertForMaskedLMTFAlbertForMultipleChoiceTFAlbertForPreTrainingTFAlbertForQuestionAnswering!TFAlbertForSequenceClassificationTFAlbertForTokenClassificationTFAlbertMainLayerTFAlbertModelTFAlbertPreTrainedModel)TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPINGTF_MODEL_FOR_CAUSAL_LM_MAPPING0TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING)TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING*TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPINGTF_MODEL_FOR_MASKED_LM_MAPPING$TF_MODEL_FOR_MASK_GENERATION_MAPPING$TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING-TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING TF_MODEL_FOR_PRETRAINING_MAPPING'TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING*TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING)TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING%TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING-TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING"TF_MODEL_FOR_TEXT_ENCODING_MAPPING)TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING!TF_MODEL_FOR_VISION_2_SEQ_MAPPING3TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPINGTF_MODEL_MAPPINGTF_MODEL_WITH_LM_HEAD_MAPPINGTFAutoModel!TFAutoModelForAudioClassificationTFAutoModelForCausalLM'TFAutoModelForDocumentQuestionAnswering!TFAutoModelForImageClassification!TFAutoModelForMaskedImageModelingTFAutoModelForMaskedLMTFAutoModelForMaskGenerationTFAutoModelForMultipleChoice$TFAutoModelForNextSentencePredictionTFAutoModelForPreTrainingTFAutoModelForQuestionAnswering"TFAutoModelForSemanticSegmentationTFAutoModelForSeq2SeqLM$TFAutoModelForSequenceClassificationTFAutoModelForSpeechSeq2Seq$TFAutoModelForTableQuestionAnsweringTFAutoModelForTextEncoding!TFAutoModelForTokenClassificationTFAutoModelForVision2Seq)TFAutoModelForZeroShotImageClassificationTFAutoModelWithLMHeadTFBartForConditionalGenerationTFBartForSequenceClassificationTFBartModelTFBartPretrainedModelTFBertEmbeddingsTFBertForMaskedLMTFBertForMultipleChoiceTFBertForNextSentencePredictionTFBertForPreTrainingTFBertForQuestionAnsweringTFBertForSequenceClassificationTFBertForTokenClassificationTFBertLMHeadModelTFBertMainLayerTFBertModelTFBertPreTrainedModel$TFBlenderbotForConditionalGenerationTFBlenderbotModelTFBlenderbotPreTrainedModel)TFBlenderbotSmallForConditionalGenerationTFBlenderbotSmallModel TFBlenderbotSmallPreTrainedModelTFBlipForConditionalGenerationTFBlipForImageTextRetrievalTFBlipForQuestionAnsweringTFBlipModelTFBlipPreTrainedModelTFBlipTextModelTFBlipVisionModelTFCamembertForCausalLMTFCamembertForMaskedLMTFCamembertForMultipleChoiceTFCamembertForQuestionAnswering$TFCamembertForSequenceClassification!TFCamembertForTokenClassificationTFCamembertModelTFCamembertPreTrainedModelTFCLIPModelTFCLIPPreTrainedModelTFCLIPTextModelTFCLIPVisionModelTFConvBertForMaskedLMTFConvBertForMultipleChoiceTFConvBertForQuestionAnswering#TFConvBertForSequenceClassification TFConvBertForTokenClassificationTFConvBertLayerTFConvBertModelTFConvBertPreTrainedModel TFConvNextForImageClassificationTFConvNextModelTFConvNextPreTrainedModel"TFConvNextV2ForImageClassificationTFConvNextV2ModelTFConvNextV2PreTrainedModelTFCTRLForSequenceClassificationTFCTRLLMHeadModelTFCTRLModelTFCTRLPreTrainedModelTFCvtForImageClassification
TFCvtModelTFCvtPreTrainedModel&TFData2VecVisionForImageClassification'TFData2VecVisionForSemanticSegmentationTFData2VecVisionModelTFData2VecVisionPreTrainedModelTFDebertaForMaskedLMTFDebertaForQuestionAnswering"TFDebertaForSequenceClassificationTFDebertaForTokenClassificationTFDebertaModelTFDebertaPreTrainedModelTFDebertaV2ForMaskedLMTFDebertaV2ForMultipleChoiceTFDebertaV2ForQuestionAnswering$TFDebertaV2ForSequenceClassification!TFDebertaV2ForTokenClassificationTFDebertaV2ModelTFDebertaV2PreTrainedModelTFDeiTForImageClassification'TFDeiTForImageClassificationWithTeacherTFDeiTForMaskedImageModelingTFDeiTModelTFDeiTPreTrainedModel'TFEfficientFormerForImageClassification2TFEfficientFormerForImageClassificationWithTeacherTFEfficientFormerModel TFEfficientFormerPreTrainedModelTFAdaptiveEmbedding$TFTransfoXLForSequenceClassificationTFTransfoXLLMHeadModelTFTransfoXLMainLayerTFTransfoXLModelTFTransfoXLPreTrainedModelTFDistilBertForMaskedLMTFDistilBertForMultipleChoice TFDistilBertForQuestionAnswering%TFDistilBertForSequenceClassification"TFDistilBertForTokenClassificationTFDistilBertMainLayerTFDistilBertModelTFDistilBertPreTrainedModelTFDPRContextEncoderTFDPRPretrainedContextEncoderTFDPRPretrainedQuestionEncoderTFDPRPretrainedReaderTFDPRQuestionEncoderTFDPRReaderTFElectraForMaskedLMTFElectraForMultipleChoiceTFElectraForPreTrainingTFElectraForQuestionAnswering"TFElectraForSequenceClassificationTFElectraForTokenClassificationTFElectraModelTFElectraPreTrainedModelTFEncoderDecoderModelTFEsmForMaskedLMTFEsmForSequenceClassificationTFEsmForTokenClassification
TFEsmModelTFEsmPreTrainedModelTFFlaubertForMultipleChoice$TFFlaubertForQuestionAnsweringSimple#TFFlaubertForSequenceClassification TFFlaubertForTokenClassificationTFFlaubertModelTFFlaubertPreTrainedModelTFFlaubertWithLMHeadModelTFFunnelBaseModelTFFunnelForMaskedLMTFFunnelForMultipleChoiceTFFunnelForPreTrainingTFFunnelForQuestionAnswering!TFFunnelForSequenceClassificationTFFunnelForTokenClassificationTFFunnelModelTFFunnelPreTrainedModelTFGPT2DoubleHeadsModelTFGPT2ForSequenceClassificationTFGPT2LMHeadModelTFGPT2MainLayerTFGPT2ModelTFGPT2PreTrainedModelTFGPTJForCausalLMTFGPTJForQuestionAnsweringTFGPTJForSequenceClassificationTFGPTJModelTFGPTJPreTrainedModelTFGroupViTModelTFGroupViTPreTrainedModelTFGroupViTTextModelTFGroupViTVisionModelTFHubertForCTCTFHubertModelTFHubertPreTrainedModelTFIdeficsForVisionText2TextTFIdeficsModelTFIdeficsPreTrainedModelTFLayoutLMForMaskedLMTFLayoutLMForQuestionAnswering#TFLayoutLMForSequenceClassification TFLayoutLMForTokenClassificationTFLayoutLMMainLayerTFLayoutLMModelTFLayoutLMPreTrainedModel TFLayoutLMv3ForQuestionAnswering%TFLayoutLMv3ForSequenceClassification"TFLayoutLMv3ForTokenClassificationTFLayoutLMv3ModelTFLayoutLMv3PreTrainedModelTFLEDForConditionalGeneration
TFLEDModelTFLEDPreTrainedModelTFLongformerForMaskedLMTFLongformerForMultipleChoice TFLongformerForQuestionAnswering%TFLongformerForSequenceClassification"TFLongformerForTokenClassificationTFLongformerModelTFLongformerPreTrainedModelTFLongformerSelfAttentionTFLxmertForPreTrainingTFLxmertMainLayerTFLxmertModelTFLxmertPreTrainedModelTFLxmertVisualFeatureEncoderTFMarianModelTFMarianMTModelTFMarianPreTrainedModelTFMBartForConditionalGenerationTFMBartModelTFMBartPreTrainedModelTFMistralForCausalLM"TFMistralForSequenceClassificationTFMistralModelTFMistralPreTrainedModelTFMobileBertForMaskedLMTFMobileBertForMultipleChoice%TFMobileBertForNextSentencePredictionTFMobileBertForPreTraining TFMobileBertForQuestionAnswering%TFMobileBertForSequenceClassification"TFMobileBertForTokenClassificationTFMobileBertMainLayerTFMobileBertModelTFMobileBertPreTrainedModel!TFMobileViTForImageClassification"TFMobileViTForSemanticSegmentationTFMobileViTModelTFMobileViTPreTrainedModelTFMPNetForMaskedLMTFMPNetForMultipleChoiceTFMPNetForQuestionAnswering TFMPNetForSequenceClassificationTFMPNetForTokenClassificationTFMPNetMainLayerTFMPNetModelTFMPNetPreTrainedModelTFMT5EncoderModelTFMT5ForConditionalGeneration
TFMT5ModelTFOpenAIGPTDoubleHeadsModel$TFOpenAIGPTForSequenceClassificationTFOpenAIGPTLMHeadModelTFOpenAIGPTMainLayerTFOpenAIGPTModelTFOpenAIGPTPreTrainedModelTFOPTForCausalLM
TFOPTModelTFOPTPreTrainedModel!TFPegasusForConditionalGenerationTFPegasusModelTFPegasusPreTrainedModel
TFRagModelTFRagPreTrainedModelTFRagSequenceForGenerationTFRagTokenForGenerationTFRegNetForImageClassificationTFRegNetModelTFRegNetPreTrainedModelTFRemBertForCausalLMTFRemBertForMaskedLMTFRemBertForMultipleChoiceTFRemBertForQuestionAnswering"TFRemBertForSequenceClassificationTFRemBertForTokenClassificationTFRemBertLayerTFRemBertModelTFRemBertPreTrainedModelTFResNetForImageClassificationTFResNetModelTFResNetPreTrainedModelTFRobertaForCausalLMTFRobertaForMaskedLMTFRobertaForMultipleChoiceTFRobertaForQuestionAnswering"TFRobertaForSequenceClassificationTFRobertaForTokenClassificationTFRobertaMainLayerTFRobertaModelTFRobertaPreTrainedModel TFRobertaPreLayerNormForCausalLM TFRobertaPreLayerNormForMaskedLM&TFRobertaPreLayerNormForMultipleChoice)TFRobertaPreLayerNormForQuestionAnswering.TFRobertaPreLayerNormForSequenceClassification+TFRobertaPreLayerNormForTokenClassificationTFRobertaPreLayerNormMainLayerTFRobertaPreLayerNormModel$TFRobertaPreLayerNormPreTrainedModelTFRoFormerForCausalLMTFRoFormerForMaskedLMTFRoFormerForMultipleChoiceTFRoFormerForQuestionAnswering#TFRoFormerForSequenceClassification TFRoFormerForTokenClassificationTFRoFormerLayerTFRoFormerModelTFRoFormerPreTrainedModel
TFSamModelTFSamPreTrainedModelTFSegformerDecodeHead!TFSegformerForImageClassification"TFSegformerForSemanticSegmentationTFSegformerModelTFSegformerPreTrainedModel%TFSpeech2TextForConditionalGenerationTFSpeech2TextModelTFSpeech2TextPreTrainedModel#TFSwiftFormerForImageClassificationTFSwiftFormerModelTFSwiftFormerPreTrainedModelTFSwinForImageClassificationTFSwinForMaskedImageModelingTFSwinModelTFSwinPreTrainedModelTFT5EncoderModelTFT5ForConditionalGeneration	TFT5ModelTFT5PreTrainedModelTFTapasForMaskedLMTFTapasForQuestionAnswering TFTapasForSequenceClassificationTFTapasModelTFTapasPreTrainedModelTFVisionEncoderDecoderModelTFVisionTextDualEncoderModelTFViTForImageClassification
TFViTModelTFViTPreTrainedModelTFViTMAEForPreTrainingTFViTMAEModelTFViTMAEPreTrainedModelTFWav2Vec2ForCTC#TFWav2Vec2ForSequenceClassificationTFWav2Vec2ModelTFWav2Vec2PreTrainedModel!TFWhisperForConditionalGenerationTFWhisperModelTFWhisperPreTrainedModelTFXGLMForCausalLMTFXGLMModelTFXGLMPreTrainedModelTFXLMForMultipleChoiceTFXLMForQuestionAnsweringSimpleTFXLMForSequenceClassificationTFXLMForTokenClassificationTFXLMMainLayer
TFXLMModelTFXLMPreTrainedModelTFXLMWithLMHeadModelTFXLMRobertaForCausalLMTFXLMRobertaForMaskedLMTFXLMRobertaForMultipleChoice TFXLMRobertaForQuestionAnswering%TFXLMRobertaForSequenceClassification"TFXLMRobertaForTokenClassificationTFXLMRobertaModelTFXLMRobertaPreTrainedModelTFXLNetForMultipleChoice!TFXLNetForQuestionAnsweringSimple TFXLNetForSequenceClassificationTFXLNetForTokenClassificationTFXLNetLMHeadModelTFXLNetMainLayerTFXLNetModelTFXLNetPreTrainedModelAdamWeightDecayGradientAccumulatorWarmUpcreate_optimizeroptimization_tfZtf_utils)Fdummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r  "  s   
zLutils.dummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objectsPop2PianoFeatureExtractorPop2PianoTokenizerPop2PianoProcessor)dummy_torchaudio_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r  4  s    
 zutils.dummy_torchaudio_objectsMusicgenMelodyFeatureExtractorMusicgenMelodyProcessor)dummy_flax_objectsc                 C   s   g | ]}| d s|qS r  r  r  r  r  r  r  C  s    
 zutils.dummy_flax_objects!FlaxForcedBOSTokenLogitsProcessor!FlaxForcedEOSTokenLogitsProcessorFlaxForceTokensLogitsProcessorFlaxGenerationMixinFlaxLogitsProcessorFlaxLogitsProcessorListFlaxLogitsWarperFlaxMinLengthLogitsProcessorFlaxTemperatureLogitsWarper(FlaxSuppressTokensAtBeginLogitsProcessor!FlaxSuppressTokensLogitsProcessorFlaxTopKLogitsWarperFlaxTopPLogitsWarper#FlaxWhisperTimeStampLogitsProcessorZmodeling_flax_outputsFlaxPreTrainedModelmodeling_flax_utilsFlaxAlbertForMaskedLMFlaxAlbertForMultipleChoiceFlaxAlbertForPreTrainingFlaxAlbertForQuestionAnswering#FlaxAlbertForSequenceClassification FlaxAlbertForTokenClassificationFlaxAlbertModelFlaxAlbertPreTrainedModel+FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING FLAX_MODEL_FOR_CAUSAL_LM_MAPPING+FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING FLAX_MODEL_FOR_MASKED_LM_MAPPING&FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING/FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING"FLAX_MODEL_FOR_PRETRAINING_MAPPING)FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING+FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING.FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING'FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING+FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING#FLAX_MODEL_FOR_VISION_2_SEQ_MAPPINGFLAX_MODEL_MAPPINGFlaxAutoModelFlaxAutoModelForCausalLM#FlaxAutoModelForImageClassificationFlaxAutoModelForMaskedLMFlaxAutoModelForMultipleChoice&FlaxAutoModelForNextSentencePredictionFlaxAutoModelForPreTraining!FlaxAutoModelForQuestionAnsweringFlaxAutoModelForSeq2SeqLM&FlaxAutoModelForSequenceClassificationFlaxAutoModelForSpeechSeq2Seq#FlaxAutoModelForTokenClassificationFlaxAutoModelForVision2SeqFlaxBartDecoderPreTrainedModelFlaxBartForCausalLM FlaxBartForConditionalGenerationFlaxBartForQuestionAnswering!FlaxBartForSequenceClassificationFlaxBartModelFlaxBartPreTrainedModelFlaxBeitForImageClassificationFlaxBeitForMaskedImageModelingFlaxBeitModelFlaxBeitPreTrainedModelFlaxBertForCausalLMFlaxBertForMaskedLMFlaxBertForMultipleChoice!FlaxBertForNextSentencePredictionFlaxBertForPreTrainingFlaxBertForQuestionAnswering!FlaxBertForSequenceClassificationFlaxBertForTokenClassificationFlaxBertModelFlaxBertPreTrainedModelFlaxBigBirdForCausalLMFlaxBigBirdForMaskedLMFlaxBigBirdForMultipleChoiceFlaxBigBirdForPreTrainingFlaxBigBirdForQuestionAnswering$FlaxBigBirdForSequenceClassification!FlaxBigBirdForTokenClassificationFlaxBigBirdModelFlaxBigBirdPreTrainedModel&FlaxBlenderbotForConditionalGenerationFlaxBlenderbotModelFlaxBlenderbotPreTrainedModel+FlaxBlenderbotSmallForConditionalGenerationFlaxBlenderbotSmallModel"FlaxBlenderbotSmallPreTrainedModelFlaxBloomForCausalLMFlaxBloomModelFlaxBloomPreTrainedModelFlaxCLIPModelFlaxCLIPPreTrainedModelFlaxCLIPTextModelFlaxCLIPTextPreTrainedModelFlaxCLIPTextModelWithProjectionFlaxCLIPVisionModelFlaxCLIPVisionPreTrainedModelFlaxDistilBertForMaskedLMFlaxDistilBertForMultipleChoice"FlaxDistilBertForQuestionAnswering'FlaxDistilBertForSequenceClassification$FlaxDistilBertForTokenClassificationFlaxDistilBertModelFlaxDistilBertPreTrainedModelFlaxElectraForCausalLMFlaxElectraForMaskedLMFlaxElectraForMultipleChoiceFlaxElectraForPreTrainingFlaxElectraForQuestionAnswering$FlaxElectraForSequenceClassification!FlaxElectraForTokenClassificationFlaxElectraModelFlaxElectraPreTrainedModelFlaxEncoderDecoderModelFlaxGPT2LMHeadModelFlaxGPT2ModelFlaxGPT2PreTrainedModelFlaxGPTNeoForCausalLMFlaxGPTNeoModelFlaxGPTNeoPreTrainedModelFlaxGPTJForCausalLMFlaxGPTJModelFlaxGPTJPreTrainedModelFlaxLlamaForCausalLMFlaxLlamaModelFlaxLlamaPreTrainedModelFlaxGemmaForCausalLMFlaxGemmaModelFlaxGemmaPreTrainedModel"FlaxLongT5ForConditionalGenerationFlaxLongT5ModelFlaxLongT5PreTrainedModelFlaxMarianModelFlaxMarianMTModelFlaxMarianPreTrainedModel!FlaxMBartForConditionalGenerationFlaxMBartForQuestionAnswering"FlaxMBartForSequenceClassificationFlaxMBartModelFlaxMBartPreTrainedModelFlaxMistralForCausalLMFlaxMistralModelFlaxMistralPreTrainedModelFlaxMT5EncoderModelFlaxMT5ForConditionalGenerationFlaxMT5ModelFlaxOPTForCausalLMFlaxOPTModelFlaxOPTPreTrainedModel#FlaxPegasusForConditionalGenerationFlaxPegasusModelFlaxPegasusPreTrainedModel FlaxRegNetForImageClassificationFlaxRegNetModelFlaxRegNetPreTrainedModel FlaxResNetForImageClassificationFlaxResNetModelFlaxResNetPreTrainedModelFlaxRobertaForCausalLMFlaxRobertaForMaskedLMFlaxRobertaForMultipleChoiceFlaxRobertaForQuestionAnswering$FlaxRobertaForSequenceClassification!FlaxRobertaForTokenClassificationFlaxRobertaModelFlaxRobertaPreTrainedModel"FlaxRobertaPreLayerNormForCausalLM"FlaxRobertaPreLayerNormForMaskedLM(FlaxRobertaPreLayerNormForMultipleChoice+FlaxRobertaPreLayerNormForQuestionAnswering0FlaxRobertaPreLayerNormForSequenceClassification-FlaxRobertaPreLayerNormForTokenClassificationFlaxRobertaPreLayerNormModel&FlaxRobertaPreLayerNormPreTrainedModelFlaxRoFormerForMaskedLMFlaxRoFormerForMultipleChoice FlaxRoFormerForQuestionAnswering%FlaxRoFormerForSequenceClassification"FlaxRoFormerForTokenClassificationFlaxRoFormerModelFlaxRoFormerPreTrainedModelFlaxSpeechEncoderDecoderModelFlaxT5EncoderModelFlaxT5ForConditionalGenerationFlaxT5ModelFlaxT5PreTrainedModelFlaxVisionEncoderDecoderModelFlaxVisionTextDualEncoderModelFlaxViTForImageClassificationFlaxViTModelFlaxViTPreTrainedModelFlaxWav2Vec2ForCTCFlaxWav2Vec2ForPreTrainingFlaxWav2Vec2ModelFlaxWav2Vec2PreTrainedModel#FlaxWhisperForConditionalGenerationFlaxWhisperModelFlaxWhisperPreTrainedModel!FlaxWhisperForAudioClassificationFlaxXGLMForCausalLMFlaxXGLMModelFlaxXGLMPreTrainedModelFlaxXLMRobertaForMaskedLMFlaxXLMRobertaForMultipleChoice"FlaxXLMRobertaForQuestionAnswering'FlaxXLMRobertaForSequenceClassification$FlaxXLMRobertaForTokenClassificationFlaxXLMRobertaModelFlaxXLMRobertaForCausalLMFlaxXLMRobertaPreTrainedModel)r   r   r   r   r   r   r    r!   r"   r#   r$   r%   r&   )r'   )r(   r)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   r4   r5   r6   r7   r8   r9   )r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   )rE   )rF   rG   )rH   rI   rJ   rK   )rL   )
rM   rN   rO   rP   rQ   rR   rS   rT   rU   rV   )rW   )rX   rY   rZ   r[   r\   r]   r^   )r_   )r`   ra   rb   rc   )rd   re   rf   rg   )rh   ri   )rj   rk   rl   rm   rn   ro   rp   rq   rr   rs   rt   )ru   )rv   rw   rx   ry   rz   )r{   r|   )r}   )r~   r   r   r   )r   )r   r   r   )r   )r   )r   )r   r   )r   )r   r   )r   r   )r   r   r   r   )r   r   r   r   )r   )r   r   r   r   )r   r   )r   )r   )r   r   )r   r   r   )r   r   r   r   )r   r   r   r   )r   r   r   r   r   )r   r   r   r   )r   r   r   r   r   r   )r   r   )r   )r   )r   r   )r   )r   )r   r   )r   r   )r   )r   r   r   )r   )r   r   )r   )r   )r   )r   )r   )r   )r   )r   r   )r   )r   r   r   r   )r   r   r   )r   )r   )r   )r   )r   )r   )r   r   )r   r   )r   r   r   )r   )r   )r   r   r   )r   r   r   )r   )r   )r   )r   )r   )r   )r   )r   r   )r   r   )r  r  r  r  r  )r  )r  )r  r	  )r
  r  )r  )r  )r  r  )r  )r  r  r  r  )r  r  )r  r  r  r  r  )r  )r  )r  r  )r   r!  )r"  )r#  )r$  )r%  r&  r'  )r(  )r)  r*  )r+  )r,  )r-  )r.  )r/  )r0  r1  )r2  r3  r4  )r5  )r6  )r7  )r8  )r9  )r:  )r;  )r<  )r=  r>  r?  r@  )rA  rB  rC  rD  )rE  )rF  )rG  rH  )rI  rJ  )rK  rL  rM  rN  rO  )rP  rQ  rR  rS  rT  )rU  )rV  rW  )rX  )rY  )rZ  )r[  r\  )r]  r^  )r_  r`  )ra  rb  )rc  )rd  re  )rf  rg  )rh  )ri  )rj  )rk  )rl  rm  rn  ro  )rp  )rq  rr  )rs  )rt  )ru  rv  rw  )rx  )ry  )rz  r{  )r|  )r}  )r~  )r  )r  r  )r  )r  )r  )r  r  )r  r  )r  r  )r  )r  )r  )r  )r  )r  r  )r  r  )r  )r  r  r  r  )r  r  r  r  )r  )r  )r  )r  r  )r  )r  r  )r  )r  )r  )r  )r  r  r  r  )r  )r  )r  )r  r  )r  )r  )r  r  )r  )r  r  r  )r  )r  )r  )r  )r  )r  r  )r  )r  r  )r  r  )r  r  )r  )r  r  r  r  r  )r  r  r  )r  )r  )r  )r  )r  )r  r  r  r  )r  )r  r  r  )r  r  r  r  )r  r  )r  r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  r  )r  )r  )r  )r  r  )r  r  )r  r  )r  )r  )r  )r  r  )r   )r  )r  )r  r  r  r  )r  )r  )r	  r
  )r  )r  )r  )r  )r  )r  )r  r  )r  )r  r  r  r  r  )r  r  )r  )r  )r  )r  )r  r   r!  r"  )r#  r$  r%  r&  )r'  )r(  r)  )r*  )r+  )r,  )r-  )r.  )r/  )r0  )#r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  )rT  )rU  )rV  rW  rX  rY  rZ  r[  )r\  r]  r^  r_  r`  ra  rb  )rc  rd  re  rf  rg  )rh  )ri  )rj  ),rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  r   ry  rz  r{  r	   r   r|  r}  r~  r  r  r  r   r   r  r   r   r   r   r   r   r  r  r  r  r  r  r   r   r   )r  r  r  r  r  r  r  r  )*)r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  r  r  )r  )r  )r  )r  )r  )r  )r  )r  )r   )r  )r  )r  )r  )r  )r  )r  )r  )r	  )r
  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r   )r!  )r$  r%  )r'  )r)  )r+  )r-  )r/  )r1  r2  )r3  )r4  )r5  )r6  )r7  r8  )r9  r:  )r;  r<  )r=  r>  )r?  r@  )rA  rB  )rC  )rD  )rE  )rF  )rG  rH  )rI  rJ  )rK  rL  )rM  )rN  rO  rP  )rQ  rR  )rS  rT  )rU  )rV  )rW  )rX  rY  )rZ  )rL  rM  )rQ  rR  )r[  r\  )r]  )r^  )r_  )r`  ra  )rb  rc  )rd  re  )rf  rg  )rh  )ri  )rj  )rk  rl  )rm  rn  )ro  )rp  rq  )rr  )rs  )rt  )ru  rv  )rw  )rx  )ry  )rz  )r{  )r|  )r}  r~  )r  r  r  )r  r  )r  )r  )r  r  )r  )r  )r  )r  )r  )r  r  r  r  r  r  r  r  r  r  r  r  r  r  )	r  r  r  r  r  r  r  r  r  )0r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  )r  )r  )	r  r  r  r  r  r  r  r  r  )r  r  r  r  )r  r  r  r  )r  r  r  )Pr  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  )r=  r>  r?  )r@  rA  rB  rC  rD  rE  )rF  rG  rH  rI  rJ  rL  rK  rM  )rN  rO  rP  rQ  rR  rS  )rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  )r`  ra  rb  rc  )rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  )ro  rp  rq  rr  rs  rt  )ru  rv  rw  rx  ry  )rz  r{  r|  r}  )r~  r  r  r  )r  r  r  r  )r  r  r  r  r  r  r  )r  r  r  r  r  )r  r  r  r  r  r  )r  r  r  r  r  )r  r  r  r   r  r  )r  r  r  r  r  r  r  r  )r  r  r  r  r  r  r  r  )r  r  r  r   r  )r  r  r  r  )r  r  r  r  r  r  r  )r  r  r  r  r  r  r  )r  r  r  r  r  )r  r  r  r  r  r  )r  r  r  )r  r  r  )r  r  r  r  )	r  r  r  r  r  r  r  r  r  )r  r  r  r  )r  r  r  r  )r  r  r  )r  r  r  r  )r  r  r  )r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  )r
  r  r  )r  r  r  r  r  r  )r  r  r  r  r  r  r  )r  r  r  r  )r  r  r   )r!  r"  r#  r$  r%  )r&  r'  r(  )r)  r*  r+  r,  )r-  r.  r/  r0  r1  r2  r3  )r4  r5  r6  )r7  r8  r9  )r:  r;  r<  r=  )r>  r?  r@  )rA  rB  rC  rD  rE  rF  rG  rH  )rI  rJ  rK  )rL  rM  rN  rO  )	rP  rQ  rR  rS  rT  rU  rV  rW  rX  )rY  rZ  r[  r\  )r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  )rh  ri  rj  rk  rl  rm  rn  ro  )rp  rq  )rr  rs  )rt  ru  )rv  rw  rx  ry  rz  r{  )r|  r}  r~  r  )r  r  r  )r  r  r  )r  r  r  r  r  r  )r  r  )r  r  r  r  )r  r  r  r  )r  r  r  r  )r  r  r  r  r  r  r  )r  r  )r  r  r  r  r  r  r  )r  r  r  r  )r  r  r  )
r  r  r  r  r  r  r  r  r  r  )r  r  )r  )
r  r  r  r  r  r  r  r  r  r  )r  r  r  r  r  r  r  )r  r  r  r  r  r  )r  r  r  r  )r  r  r  r  r  r  r  r  )r  r  r  r  r  r  r  )
r  r  r  r  r  r  r  r  r  r  )r  r  r  r  r  )r  r  r  )
r  r  r  r  r  r  r   r  r  r  )r  r  )r  r  r  r	  r
  )r  r  r  r  r  )r  r  r  r  )r  r  r  )r  r  r  r  r  r  r  r  )r  r   r!  r"  r#  )r$  r%  r&  r'  r(  r)  r*  )r+  r,  r-  r.  r/  r0  r1  )r2  r3  r4  r5  )r6  r7  r8  r9  r:  )r;  r<  r=  )r>  r?  r@  rA  )rB  rC  rD  rE  rF  )rG  rH  rI  rJ  )rK  rL  rM  rN  rO  rP  rQ  )rR  rS  rT  rU  )rV  rW  rX  rY  )rZ  r[  r\  r]  r^  )r_  r`  ra  )rb  rc  rd  re  )rf  rg  rh  ri  )rj  rk  rl  rm  )rn  ro  rp  rq  )rr  rs  rt  )ru  rv  rw  rx  ry  rz  )r{  r|  r}  r~  r  )r  r  r  r  r  )r  r  r  r  r  )r  r  r  r  )r  r  r  r  r  )r  r  r  r  r  r  )r  r  )r  r  )r  r  )r  r  r  r  r  r  r  r  )r  r  r  r  )
r  r  r  r  r  r  r  r  r  r  )r  r  r  r  r  r  r  )r  r  r  )r  r  r  )r  r  r  )r  r  r  )r  r  r  r  r  )r  r  r  )r  r  r  r  )r  r  r  r  r  r  )
r  r  r  r  r  r  r  r  r  r  )r  r  r  )r  r  r  r  r  )r  r  r  r  r  )r  r  r  r  r  r  r  r  r  r  r  )r  r  r  r  )r   r  r  r  r  )r  r  r  r  )r	  r
  r  r  )r  r  r  r  r  r  r  r  )r  r  r  r  r  r  )r  r  r  r  r  r   r!  )r"  r#  r$  r%  r&  r'  r(  )r)  r*  r+  r,  r-  )r.  r/  r0  r1  )r2  r3  r4  r5  r6  r7  )r8  r9  r:  r;  r<  r=  )r>  r?  r@  rA  rB  )rC  rD  rE  rF  rG  rH  rI  rJ  )rK  rL  rM  )rN  rO  rP  )rQ  rR  rS  rT  rU  rV  )rW  rX  rY  rZ  r[  )r\  r]  r^  r_  r`  )ra  rb  rc  rd  re  )rf  rg  rh  )ri  rj  rk  rl  rm  rn  )ro  rp  rq  rr  rs  rt  )ru  rv  rw  rx  )ry  rz  r{  )
r|  r}  r~  r  r  r  r  r  r  r  )r  r  r  r  r  )r  r  r  r  r  )r  r  r  r  r  )r  r  r  r  )r  r  r  r  r  )r  r  r  )r  r  )r  r  r  r  r  r  )r  r  r  )r  r  r  r  )r  r  r  r  r  )r  r  r  r  r  )r  r  r  r  )r  r  r  )r  r  r  r  r  r  r  r  )r  r  r  )
r  r  r  r  r  r  r  r  r  r  )r  r  r  r  )r  r  r  r  r  r  r  r  )r  r  r  r  r  r  r  r  )r  r  r  r  r  r  r  r  r  r  r  )
r  r  r  r  r  r  r  r  r  r  )r  r 	  r	  r	  r	  )r	  r	  r	  )r	  r	  )
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r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  )	rC  rD  rE  rF  rG  rH  rI  rJ  rK  )rL  rM  rN  )rO  rP  rQ  )rR  rS  rT  )rU  rV  rW  rY  rX  rZ  r[  )r\  r]  r^  r_  r`  ra  rb  )	rc  rd  re  rf  rg  rh  ri  rj  rk  )rl  )ry  rz  r{  )rm  rn  ro  )rp  rq  rr  )rs  rt  ru  )rv  rw  rx  )r|  r}  r~  )r  r  r  )r  r  r  r  r  )r  r  r  )r  r  r  )r  r  r  )r  r  r  )r  r  r  )r  r  r  )r  r  r  r  r  r  r  r  )r  r  r  r  r  r  r  r  )r  r  r  r  r  r  r  )r  )r  r  r  r  )r  )r  )r  r  r  )r  r  r  r  )r  r  r  r  )r  r  r  )r  r  r  r  r  r  r  r  N__file____version__)Zmodule_specextra_objectszNone of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.(  r  typingr    r   r  r   r   r   r   r	   r
   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   Z
get_logger__name__loggerZ_import_structurer  dirappendr  extendr#  r&  r(  r*  r  r  rB
  r  r  r  r  r   r   r   r   r   r   r    r!   r"   r#   r$   r%   r&   r  r'   r  r(   r)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   r4   r5   r6   r7   r8   r9   Zdata.data_collatorr:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   r  rE   r  rF   rG   r  rH   rI   rJ   rK   r  rL   r  rM   rN   rO   rP   rQ   rR   rS   rT   rU   rV   r  rW   r  rX   rY   rZ   r[   r\   r]   r^   Zmodels.albertr_   Zmodels.alignr`   ra   rb   rc   Zmodels.altcliprd   re   rf   rg   Z$models.audio_spectrogram_transformerrh   ri   Zmodels.autorj   rk   rl   rm   rn   ro   rp   rq   rr   rs   rt   Zmodels.autoformerru   Zmodels.barkrv   rw   rx   ry   rz   Zmodels.bartr{   r|   Zmodels.beitr}   Zmodels.bertr~   r   r   r   Zmodels.bert_generationr   Zmodels.bert_japaneser   r   r   Zmodels.bertweetr   Zmodels.big_birdr   Zmodels.bigbird_pegasusr   Zmodels.biogptr   r   Z
models.bitr   Zmodels.blenderbotr   r   Zmodels.blenderbot_smallr   r   Zmodels.blipr   r   r   r   Zmodels.blip_2r   r   r   r   Zmodels.bloomr   Zmodels.bridgetowerr   r   r   r   Zmodels.brosr   r   Zmodels.byt5r   Zmodels.camembertr   Zmodels.caniner   r   Zmodels.chameleonr   r   r   Zmodels.chinese_clipr   r   r   r   Zmodels.clapr   r   r   r   Zmodels.clipr   r   r   r   r   Zmodels.clipsegr   r   r   r   Zmodels.clvpr   r   r   r   r   r   Zmodels.codegenr   r   Zmodels.coherer   Zmodels.conditional_detrr   Zmodels.convbertr   r   Zmodels.convnextr   Zmodels.convnextv2r   Zmodels.cpmantr   r   Zmodels.ctrlr   r   Z
models.cvtr   Zmodels.data2vecr   r   r   Zmodels.dbrxr   Zmodels.debertar   r   Zmodels.deberta_v2r   Zmodels.decision_transformerr   Zmodels.deformable_detrr   Zmodels.deitr   Zmodels.deprecated.detar   Z!models.deprecated.efficientformerr   Zmodels.deprecated.ernie_mr   Z!models.deprecated.gptsan_japaneser   r   Zmodels.deprecated.graphormerr   Zmodels.deprecated.jukeboxr   r   r   r   Zmodels.deprecated.mctctr   r   r   Zmodels.deprecated.megar   Zmodels.deprecated.mmbtr   Zmodels.deprecated.natr   Zmodels.deprecated.nezhar   Zmodels.deprecated.open_llamar   Zmodels.deprecated.qdqbertr   Zmodels.deprecated.realmr   r   Zmodels.deprecated.retribertr   r   Z"models.deprecated.speech_to_text_2r   r   r   Zmodels.deprecated.tapexr   Z(models.deprecated.trajectory_transformerr   Zmodels.deprecated.transfo_xlr   r   r   Zmodels.deprecated.tvltr   r   r   Zmodels.deprecated.vanr   Zmodels.deprecated.vit_hybridr   Z models.deprecated.xlm_prophetnetr   Zmodels.depth_anythingr   Zmodels.detrr   Zmodels.dinatr   Zmodels.dinov2r   Zmodels.distilbertr   r   Zmodels.donutr   r   Z
models.dprr  r  r  r  r  Z
models.dptr  Zmodels.efficientnetr  Zmodels.electrar  r	  Zmodels.encodecr
  r  Zmodels.encoder_decoderr  Zmodels.ernier  Z
models.esmr  r  Zmodels.falconr  Zmodels.fastspeech2_conformerr  r  r  r  Zmodels.flaubertr  r  Zmodels.flavar  r  r  r  r  Zmodels.fnetr  Zmodels.focalnetr  Zmodels.fsmtr  r  Zmodels.funnelr   r!  Zmodels.fuyur"  Zmodels.gemmar#  Zmodels.gemma2r$  Z
models.gitr%  r&  r'  Zmodels.glpnr(  Zmodels.gpt2r)  r*  Zmodels.gpt_bigcoder+  Zmodels.gpt_neor,  Zmodels.gpt_neoxr-  Zmodels.gpt_neox_japaneser.  Zmodels.gptjr/  Zmodels.grounding_dinor0  r1  Zmodels.groupvitr2  r3  r4  Zmodels.herbertr5  Zmodels.hierar6  Zmodels.hubertr7  Zmodels.ibertr8  Zmodels.ideficsr9  Zmodels.idefics2r:  Zmodels.imagegptr;  Zmodels.informerr<  Zmodels.instructblipr=  r>  r?  r@  Zmodels.instructblipvideorA  rB  rC  rD  Zmodels.jambarE  Zmodels.jetmoerF  Zmodels.kosmos2rG  rH  Zmodels.layoutlmrI  rJ  Zmodels.layoutlmv2rK  rL  rM  rN  rO  Zmodels.layoutlmv3rP  rQ  rR  rS  rT  Zmodels.layoutxlmrU  Z
models.ledrV  rW  Zmodels.levitrX  Zmodels.liltrY  Zmodels.llamarZ  Zmodels.llavar[  r\  Zmodels.llava_nextr]  r^  Zmodels.llava_next_videor_  r`  Zmodels.longformerra  rb  Zmodels.longt5rc  Zmodels.lukerd  re  Zmodels.lxmertrf  rg  Zmodels.m2m_100rh  Zmodels.mambari  Zmodels.mamba2rj  Zmodels.marianrk  Zmodels.markuplmrl  rm  rn  ro  Zmodels.mask2formerrp  Zmodels.maskformerrq  rr  Zmodels.mbartrs  Zmodels.megatron_bertrt  Zmodels.mgp_strru  rv  rw  Zmodels.mistralrx  Zmodels.mixtralry  Zmodels.mobilebertrz  r{  Zmodels.mobilenet_v1r|  Zmodels.mobilenet_v2r}  Zmodels.mobilevitr~  Zmodels.mobilevitv2r  Zmodels.mpnetr  r  Z
models.mptr  Z
models.mrar  Z
models.mt5r  Zmodels.musicgenr  r  Zmodels.musicgen_melodyr  r  Z
models.mvpr  r  Zmodels.nemotronr  Zmodels.nllb_moer  Zmodels.nougatr  Zmodels.nystromformerr  Zmodels.olmor  Zmodels.oneformerr  r  Zmodels.openair  r  Z
models.optr  Zmodels.owlv2r  r  r  r  Zmodels.owlvitr  r  r  r  Zmodels.paligemmar  Zmodels.patchtsmixerr  Zmodels.patchtstr  Zmodels.pegasusr  r  Zmodels.pegasus_xr  Zmodels.perceiverr  r  Zmodels.persimmonr  Z
models.phir  Zmodels.phi3r  Zmodels.phobertr  Zmodels.pix2structr  r  r  r  Zmodels.plbartr  Zmodels.poolformerr  Zmodels.pop2pianor  Zmodels.prophetnetr  r  Z
models.pvtr  Zmodels.pvt_v2r  Zmodels.qwen2r  r  Zmodels.qwen2_moer  Z
models.ragr  r  r  Zmodels.recurrent_gemmar  Zmodels.reformerr  Zmodels.regnetr  Zmodels.rembertr  Zmodels.resnetr  Zmodels.robertar  r  Zmodels.roberta_prelayernormr  Zmodels.roc_bertr  r  Zmodels.roformerr  r  Zmodels.rt_detrr  r  Zmodels.rwkvr  Z
models.samr  r  r  r  r  Zmodels.seamless_m4tr  r  r  Zmodels.seamless_m4t_v2r  Zmodels.segformerr  Zmodels.seggptr  Z
models.sewr  Zmodels.sew_dr  Zmodels.siglipr  r  r  r  Zmodels.speech_encoder_decoderr  Zmodels.speech_to_textr  r  r  Zmodels.speecht5r  r  r  r  Zmodels.splinterr  r  Zmodels.squeezebertr  r  Zmodels.stablelmr  Zmodels.starcoder2r  Zmodels.superpointr  Zmodels.swiftformerr  Zmodels.swinr  Zmodels.swin2srr  Zmodels.swinv2r  Zmodels.switch_transformersr  Z	models.t5r  Zmodels.table_transformerr  Zmodels.tapasr  r  Zmodels.time_series_transformerr  Zmodels.timesformerr  Zmodels.timm_backboner  Zmodels.trocrr  r  Z
models.tvpr  r  Zmodels.udopr  r  Zmodels.umt5r  Zmodels.unispeechr  Zmodels.unispeech_satr  Zmodels.univnetr  r  Zmodels.upernetr   Zmodels.video_llavar  Zmodels.videomaer  Zmodels.viltr  r  r  r  Zmodels.vipllavar  Zmodels.vision_encoder_decoderr  Zmodels.vision_text_dual_encoderr	  r
  Zmodels.visual_bertr  Z
models.vitr  Zmodels.vit_maer  Zmodels.vit_msnr  Zmodels.vitdetr  Zmodels.vitmatter  Zmodels.vitsr  r  Zmodels.vivitr  Zmodels.wav2vec2r  r  r  r  r  Zmodels.wav2vec2_bertr  r  Zmodels.wav2vec2_conformerr  Zmodels.wav2vec2_phonemer  Zmodels.wav2vec2_with_lmr  Zmodels.wavlmr  Zmodels.whisperr  r   r!  r"  Zmodels.x_clipr#  r$  r%  r&  Zmodels.xglmr'  Z
models.xlmr(  r)  Zmodels.xlm_robertar*  Zmodels.xlm_roberta_xlr+  Zmodels.xlnetr,  Zmodels.xmodr-  Zmodels.yolosr.  Zmodels.yosor/  Zmodels.zoedepthr0  r  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  r  rT  r  rU  r  rV  rW  rX  rY  rZ  r[  r  r\  r]  r^  r_  r`  ra  rb  r  rc  rd  re  rf  rg  r  rh  r  ri  r  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  Zutils.quantization_configr  r  r  r  r  r  r  r  Z!utils.dummy_sentencepiece_objectsr  Zmodels.barthezr  Zmodels.bartphor  r  r  r  Zmodels.code_llamar  Z
models.cpmr  r  r  r  r  r  Zmodels.gpt_sw3r  r  r  r  r  r  r  Zmodels.mluker  r  Zmodels.nllbr  r  r  r  r  r  r  r  r  r  r  r  r  Zutils.dummy_tokenizers_objectsr  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  Zmodels.mbart50r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r"  r!  Z2utils.dummies_sentencepiece_and_tokenizers_objectsr%  r$  Z#utils.dummy_tensorflow_text_objectsr'  Zutils.dummy_keras_nlp_objectsr)  Zutils.dummy_vision_objectsr,  r+  r.  r-  r0  r/  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  Zutils.dummy_torchvision_objectsr  r  r  Zutils.dummy_pt_objectsZbenchmark.benchmarkr  Zbenchmark.benchmark_argsr  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  Zdata.datasetsr  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rL  rK  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r 	  r	  r	  r	  r	  r	  r	  r	  r	  r		  r
	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r 	  r!	  r"	  r#	  r$	  r%	  r&	  r'	  r(	  r)	  r*	  r+	  r,	  r-	  r.	  r/	  r0	  r1	  r2	  r3	  r4	  r5	  r6	  r7	  r8	  r9	  r:	  r;	  r<	  r=	  r>	  r?	  r@	  rA	  rB	  rC	  rD	  rE	  rF	  rG	  rH	  rI	  rJ	  rK	  rL	  rM	  rN	  rO	  rP	  rQ	  rR	  rS	  rT	  rU	  rV	  rW	  rX	  rY	  rZ	  r[	  r\	  r]	  r^	  r_	  r`	  ra	  rb	  rc	  rd	  re	  rf	  rg	  rh	  ri	  rj	  rk	  rl	  rm	  rn	  ro	  rp	  rq	  rr	  rs	  rt	  ru	  rv	  rw	  rx	  ry	  rz	  r{	  r|	  r}	  r~	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r 
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  r	  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rY  rX  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  ry  rz  r{  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  sysglobals__spec__modulesZwarning_advicer  r  r  r  <module>   s'  \




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