PKٱOG)tensorflow_model_optimization/__init__.pyWko6_q ]J[˲eפ. 0lHMT5;lv3 X66yyGnF^|/$j+nMiRUtbnIir;C\օ4~҈͈~*]% X(^ ZkJ@(K$ɿr8R5zTJԹr & 5BG' - [ٗ#p9;=]VƦO hOM\^]aPWZ2V&\"KFPغ`u%j:MFez=2\O/\_]LW&WҏӫI j_aa0ѝ;:dR𫞷b.i5,dZWRK'{N'9::Rm']ȊV ir3Md6%6UUW\ο$)^Rk20 ωIq>wU;9ON:iQڂaV`4u/((G wF qf8x9c=J/P]+|I7m%RZL2J2}! 0/4C;i,w==Mctpc"CE*9 <ރ[ۖ֨e0ԥwn []pD 0eō*n@lp(q$Dי5GuLz3WfȡCV3C~%cb lBBN.c@t+YMqq.Tu-.& 3Iբ@i#be) Sn`Q,12(B:Y'.V\Ȧ*fU S ˳=m h)G_C05J.e,ϥq8GuC 5^jrlPۣӬLM9s`laQZɩ}3fDͰF >rU'FSw`/Q'('<:V#3^#.Uo>kPKرO':4tensorflow_model_optimization/python/core/version.pyTn@+F)pI@-tcE]Pٍ_,ϾyfO`덅װ ,P'B4v!f`88 N# 4@ N"Em"BzQov@* AJ.!vt$$tjek*q잍Y۶1bcgb4gxOIO?XMzr"4F:m5\#0-H,7VUcz>и^A]YDwjvd>Otl2])}M ~2QQ|O"_dGJdjysKFX-jI@-ӐXeGjʕy_]bKUf%1?v|,*\^ZZ;o2H1:y?/o o!Ls ~JWݠUEhj9m f;oh9CJ4sFk ·a:ndB"J2gN~sș[ev3]O Yc /.ʕ`ݝc^H^`aTBEꊒ§l"q/qnF^O8_Sˎft8+._S8qWŎ6/ᙎ >c?8'PKٱO09tensorflow_model_optimization/python/core/api/__init__.pyOo@OJ.Nsk㨨)$)ZÀWB?}f[9ʵ{A˼}?Kll?<JRNNHHy9>Q/%ndr1,~P ;!H>u,GrE5 F,3|ΑB YL/]$P8L4@&0 1>it ƂuFY0>i&g :[Zgxz=cfؔ|N°7ۢ~ɭ0g0^J=LhuN@TQbLwmWQy0fIͯ.e!Jee^.n+m =lvU^Bnא#/V*IOG~4D| (8Ԧ1ZZ[)ބ8 xt7xOQ1zIzkqKS}Nɪlx]ndzQuXȩdmɣ,I_>g^3PKٱOE'] Htensorflow_model_optimization/python/core/api/sparsity/keras/__init__.pyn0 y ¹lCtC^bF3g=L;BeIӏrv.(ǟVڌV{?AG(Q9mo ^[C"%!Al>FpJzUO8}' ">w!!:E?¨{J{pHGOe" ]yFٌ y{s\ 6ֶ]ʗDܤuVxr$:RgQJ6ZtuB pH*pފo:Qϯ. J H$EZ,H>-nJOtensorflow_model_optimization/python/core/internal/__init__.pyn0D}iWNsKTA2 ) rM$ߕ r-/7֝5J.e,ϥq8GuC 5^jrlPۣӬLM9s`laQZɩ}3fDͰF >rU'FSw`/Q'('<:V#3^#.Uo>kPKٱOYy@KNtensorflow_model_optimization/python/core/internal/tensor_encoding/__init__.pyAo0{i-D75b$ yZ5kKKDUn{YںW%MVҞևRa70?bDhwJkMS'$e \'Was)NNX> [,(vN+a$ 030<vOՂWk@侮V0$bMoW lɋ'&z^yκ?p $Ş1zGHv 64R@^{z3<Zⴀ{ZdŒ=tK2zdeyu i?f ȳc!8AgPFIe^=7NkƫENiPI+#m=.GQmU{zV,=Yjz2ĻFi44|ū֨+눃$ķ$zL [*|0ۏK{Nki.g~qמ_PKٱO.\5Stensorflow_model_optimization/python/core/internal/tensor_encoding/core/__init__.pyTn0 +fK]ѓȴ#L4I~(u6(>HLO79*-$hbHU9XC2GcXBJibϐ/Nh hHE^7e{PC(JH|h<\oLqVM'3 (3B38`3=mۘuncmnzlw{nDFXufgk)Y -R` UOʷ"y+֍?@b $4kل86dJy:`rqrA5${.&+Gc2)B @{C TV#zVQ9`n ^I,Rlg[yQT^ڃ&4Y4o\!*wbLJFt;,$@T1pIcRO8(K,wV'oM}=֭rbn PKٱOL=hWtensorflow_model_optimization/python/core/internal/tensor_encoding/core/core_encoder.py\{oȑ_a#KgrNjoځ$"0 NLĘCNؤ~TUyXě[# ]ǯ٫fmۻ}/#c7w݈Z67UieΫ]a;ɮX'O4KKѲoOVM;&~l@alͷn:K$JVe%5[4MUz!Cg4`IhooxG ӿۜxs6oj)_|w1y[WBJ֊e coC >6+VAڲ+یf=Ve)] - o5{v~.ߟ__^g@˛o߼a?_]foث7|~}_ +i`D9صF1$7bQ`ͽhkۈv]JԦ@*e;z2T~ٳW' )Q`%h#fY/rz,2''YX]ߊ!4m\6Pǚ!mw- ɉ~,ˏώa%V#X7KQͦY/"lq|Ѵ"x.%5| >we%X>9ŽiAYbyQkVoV5yYV*)ɋb+'h0w@9R [ zV3tg>Cgշ}}ud_?_ ?ߞW} [RxoݿЃ!LŢ ӻ?phnx9q Zޖ6IE}UEm LI]cK/ \(Η,^82 e)x=-ovG`ANWExGwfATeklJ1 jQ~=Ct (=<12j|h؆؜KΠu7NZ9'8`ʌ Bp$ۚb #@0\=aWw`Z&9fB#Y TjC3429tmQjoLĠ%XF'VrsYp-"|5`K}l$o̟eCanjMLkœQinMx_hW}Um5]! # wXZ'e X%q0 @/Zx0*NC` A6v=eU mB2ߤ_D?=:qi6o8ȸ8ǠTaz$=ASƠA!(@Ӱl:R4{O|'x:@$F(s4{G~=^loEWlx˵XCNdVZ[N;%'-]l6Qe1~Ngf7ɉv=&<~F+J^-}iך-Y6'?̡-mGG?x?=NQ› d,yp*8hnhj#K5 p6ibGGFEP!Gbzṳ 튥O/oIz ᐆ@8j]cIJ@햓D0мtpZ kφ3ہΏvEB.6d@%Zrq8Opn y7aMFcC} IH-&Ρ AJsvoA~gu}w=4X"- A3do? [~"rҲ_ՊTqܚ \d7ӑĖ^J<6j-.JnDɲӺc @yȴE34B},}ځҵ@cAJ퇫vSU=!P2p6/nP/Er mRFo #^p5+,S!滏ՙ 䛺 % qti*OgaI3<-, AӕJ꬀Bcu0i&"v02S.-[I&U***yU e:牵J,z]HGqlTrc({Xٚ2juxϢSNtj7J (`2BdP-O@vb0?QssQ,a25>Gq `b8g=NQi7%7G+v%;nR5"ڪ@m^v&CK hcYu 8Dq;DEgu o/xY=ٱ=ڊ/lQTL@eG]i=ںL["ƧN8 C=?%G*H3[YG/$2-71iO%@XQUX+=AI_3*U]h]|]0ܕX#BkGDcY o wnE%Nxy퐉J %,$-1le^谂 kQ=G &!#d懷FA q- iiz"6V79& !՜ߥb5xwm!"zfB|Dxz9JS&pQFF m9'T`<5*weؙҫrQvS: yA'륤Y K ڛԒwxJ_+Z!Uz*{$5RvoRˡzUyxXO#N/oI1FR0hwAsRKzTncl K)FGjA:Pd<'F3~q9A9Pz3[d0w7\Js`Z]y/EhAHm +Fm>yJiqm=} P_Y`}yAsBdHvrU޸kj =5T۪TkXWxR+ .Tn"8`&Ow$}Bws4}yc2L~^#n@{Et/x|"yapSL ;G]0]p]zWvtT BĿ+gɔ;0f^PjŐ4-CA;L=һ&9;2Kod]U,RF+ꂤLqW* ݬy[x)nELVq%,8CWS%Z<`).wXuhYRt㘙CQz˳h,^gKOV+s(Orڷ|B̘Kd%Jq$n;4)7{@<E~:aTqjD^"n+< :x4y$DK~T>K4#&,CN)s~KhL^(9Bi9½CCG=*`5InV*aIҺxȫ(@* {lCܪMa8luBJN gk&l{wBO`M|kbwfbpdg6hK"t`䊒xʃ9.-ȭXBbV] 8FfRI=  䂏sǾ5,7?[w[R ;kɴ<c;R_+*qkL/:XۡL0Sk?f 'GTF*l|rwT=Fu)G9?)̈C5\_UX#[C_Ý]W` ES 675Sŝ>o:E{ˇVMd mij. ;iY6)2˥u ^,s Kso1Ph'_dicN;2W٪fhZzn >߇.[7)jlMn  S_hrڦweMY`ht~ojzu6|g͛󿨗 ̡Nu6#=}5]q[28<}?}{{Գtn.^{Ct^Κx:|NאGd7o ~MQ l*ԒH%oh :#  ?aAB{K2`Ī~, k86? LX-)20L|̛!H yVJMn9<CVT cRԄuJAjg ǻzސbL(npo\(7eV fe :rU͂NMKX2G]RZ!A- UM6 v,?;6y.<'~:]~ )g%oa( O Obd9GqpQWԈ03L`{5&4` ^շjaO)rBw&zk'%'_7N%t{ } t9%@EZ\ww`;3 ds7FpmrIW d&[8pBXS> ?p  `޾rp!ȎBLSx[Vz.m= ԍN'z7 cLv;Ӹɞxen֘45ѵ ΑN a,Բ+Z VВ| R2 IhH: M:-m}Y[EWtFD"X2oS%ՠp%̒o+X+H̜"XKFa^B9yCPjݤ.4/h-ɵښ(^[zSA%to Wdv&Z Z㛸Yz˾ܽ53W9mckPT@S.ìԸ7U ƽ,JN<(-B@DJ J) aeCn11Q !7 T  hR|hHYDt=`>-X6 ى!9hGonʗb(o}X5_*/WDgH+) FB"=mQD_<F[ o\|h u^R)sF{ 8EFY=ͲHL`ٲX'rOlwt\U \[ "7p=-Jr” d չ_ :-%(3,!3~X+1)QVh|!㞗e2Q)ܑv/ ʛ:zY{zfɰͫp,܋.bW΋554lxPVw8\CŶo,x%p#˽XvF%0zؘFqb ۳uYqԺ"Y5 l zo&&VJ G`wjjxކc\gKsT?2ղlcޘXqNح-J)2OCĪ*9+ v( k@+wyA?E p U`u(Y0&uPXi.9_XM$p%\!3S2>؀f ғ!*݂Pv9 XJ`++6^)+wϧ})mP{XF&!a a pDjAj׺XMErF ;t:"c:D).R&ա\' D"T B `|fҐ2@PlX[Z& F+wLb9<%82#mł'}'^P%κ0W(&$8yd)[+caNm8q¿/q &ĩ&f∋TtiJ k cu7V pBJAY/u'RjJ$ӥ8Q~єܛ9g$A_n9D֖`U/JN!@hړ61%JJC #)0w0 :!~hB+% F\Vkw@~C|IWFԘJl<5"0^N҂ SAhIZYeur`/|"\(hu>  ޾( }І׆@O ~NqzS$a7$aP1}1YhQ 1 s)|mIqEq)L$/WOV=M}ʡbPnes蘒"\tLNpKlb-lj(䤰=:gKo8JLiQ\e¸#! 0BS,q pj Pz,?WnS9Z<KG2 %WAMM_`‹pD! =!K``R0=u r6װ wz=;@:Hl:ҩU8pOk݄q.q #vFvI9燆s7!& "Zĺ ܰ`-b\`>v?GOGnֶwKI6-qO01SPePH˛_wfI烘۲(Mܑ 2mNuwǂz4!G9&"-!C,H؆@t#9,l[rO p\zzv$phѷBB314Fmr]=CAZb3;a/9I BKVFN|YK]SGVhnN`ZoFӄxxxxxxxlku$xzTTf.IvNSTsHhS| ] @IibMuܢM4r/BXzЃCQpxKӌѬ_ssx xwҡz!LR\n/st IG/R\զ?~;"1m`摼v\$D*Sp;a|Gxʜ  iE]]mY7jE!hݐ S"l :ln6%z}OO"VTg>"8I'QC1q&q&q&q&KdG ;NzLjqU~QPe^ampo`ks)L8?N 8ݧy;}3?nF凎3sըX8s8s8s8s8sn&7 g=N M!J8YdM!g{F-= sp O!iq}zGJ78z;H`GD78O4ctȇS54c" D7j07^]K-biD6|{Z#C6gXn]<$Ǻw_!aW`IP!'O?XohKb, }i\ȿ`a L?Ou&qU]yu;X$blF_q8Iٳ7ہf25c6^"[';B`+O$]٥~_oFq,'1|;Rd{ۑko |L{߾~9_vwt+a*c̄yTg3Z20}@; $?!i"h/K_"˜ p6[52O!ܕKE 8#.f7#zr|fRN%(E |WXv#(ꄿ|Ia+F})BNs^ &)H}h{C:foz֓\of{҇qX\H;sOU-wLhCx}y61AF) 4~G=HAG>I:9݆yB ~:V'^G? F @G`M+;1տ;{KFFsl߽c7*D:v#ubw#w0w yOl]wg]M͡|_tr.>O% t徲{_Whѥ`tB3']1@5}qAodjdߠѽ{bgXbu"hmOcn8~|7Xpt.!M Elp*"t>8ߴ=*7x(_@S[s^ue]0gy)hcD3$hA"|ujݦ^󑽽`%kI )kz{O`E (9 퐈krAStAUp<$dy{z1ڸ;΄^ƻiwl>gGk=$=tXl"/G1t{RQ cݲ?1 )KuXԃ \Jnw纣8=xb= h{c=+ 70q𸳂#y =PKٱO̔bYtensorflow_model_optimization/python/core/internal/tensor_encoding/core/gather_encoder.py\s6]IۤVsnWon^]"JJ* -04OgfEYtUIxWX*>$PYdٮe؃I @^i!7L|=o{íioo߾^񛿉\v$$  &3#NH1,!la^jX*`:b+MP [JQin@[l!`gD= )fr9î|LM LTŢ>lW 扝JIuvpPWY SI\Vs70a&뽔<34Ig\UMX LO=Lfy[ ƿOܑ#cnAoԜaaj"k@Kb֞:6&6GVq@,vɉ| 8,agNf2*/GzKވ-ujU۲_R#9Q!= a(Oq(]M i#)oK VV@aY+!?L#cDDo``H!Oj nXfx[& {d:bXfELZp6 {k1{P#1W jY3c^.?C߈uܼ|f&Lsg֕qUwmԈl--v&"f60H;j^R k`^$H; ɤ78-"M#O> P9|T MvV{:m:O>n}bxp&ml_"ovPQDV2Ql6ؾ=`ll1&bxPv+C2"cBi@IJ8 5fv.xkBWZQr6QH~"xp4SҶ=l嫪*+,C(eOH7mc)P "Yl)Zw0V! [9lv}/:w*Եc! % m.%? g8aN6>@& |sm{o0:ǼH2V1a(SЌ?dPINxbV7Yu;E/O̰MOs;C|yG)yAn%28ۅ*$45(Ӏ~ʂL9wv&)a+`aRvYL6*[iK*kҥ'*xESFТ9# -lkNMbQ]jr|Tg.񝴘C+M58&Fu E$]{x`^g2j : |=6HZT2*6+)hJ@V*oF֪̚Ĥ)-E|T"k MnĢ$ܕK" J bdѷmPiVtxo!nŻuܮF|o%j5G%bRMGy1P?x1g>@;'ڤ[g<\Nf6{GgDس {''챌{&΅x8szU[C|L;\zaFR ֌۞> 5d6#FqL]"5%& <nl8F;in_g|3hDž3g[ <D9h?+ L=Yb L>Փ搔ɔva?F;aP/auY \|^4#984t`NXW]]u1SHnR/jY#BKwQw% f1 =~D"y[=k=DL-^^ʏL҆'"DPS,ف{¤Npqmis ”x͞M FFCF+Lkg3jC.?lWJ-یI凧 \!k/lRܽc̒mld*4N/}ĻքmOkqMQ@cz1O0Go?0ʑ q:Fsc#qg4>~l;y>cD\ e)O"8Bú\Fb=./)m'.,LOggo}2aDx=& )"fzC Z!IpWIG(N4V~[^=tgMpm;`]9;kUTls֕0eϕć?ueC[o;57cSпK~Fs%[ I:s"=owq>}ХH֖uZ1aatZ,z}) #ҿ{.)CƎytL@Vfрަ`MB3-t>^1=!ڎܵ  5>bcWX`xQ[@&(HuNt:6+1P^'9{Ctw׿㧋IxtJuاL{/o [EP7XJTz>41C{:ʷaT[v- j_bT+(q$6i=_ ^%t#Z:kYO$yV܂.P62{8rW2Vl&U2FsӻkBkT轅@ÿ,JᐦU9ֺޠ&2˳87 0V,"LGG@xCV&E+ާ5 t UŸ}Z-Ћ)]P{I 6X{*Mv]_ްN1,#@fuA3[NCH` fhEl?PyAAF5g1vWvD[@gIwƣnK؅;;6#WN"${},Фy~=C~±e̞̋ ˘4_pL9$} }asuL LQz1{eB#R!mi^ _8%?/|:FT07Y@1[zfPvz g OS-OnJtc0ǪG{tB7ɋtK4?t6;2❍>5}k夿W 1AF*uQ[ Υs +}9Z6FX;E?AR^J{&}~SOHtχ>*ۂA&ɩY-Ag:+sBor+P3XtqA;wg,Zݧ7;ܛ?ヹ?Hj؟h~k6C؇2퓧31hrD>eONֱ]ptYyDz'3>plǭYeye2ͷ2} J >c?"n=@'']G IwHi6n ]d'Ϗ&JP}B}AfPKٱO\˥ ;!Ytensorflow_model_optimization/python/core/internal/tensor_encoding/core/simple_encoder.pyY[oF~8 mP5qPcNa) àP"3C[}93Û8I("g|MU wN[QJ+'j̮R:f`7xNzY^e Eƚ2y M>eU,_@X5lϏ kR\C*jdj_`O숍#bp8| 9 L;cūWOOO1'iJm_~՛KZBk@ׇ#5ORowB4FLWyJLjCc`/^՚]/؏:][fu}{ufo؛on_÷wlu;ۈ Z D;ZyeҵHe.SЫ6|+ضzuX-^j2RȽ4ГG/˴—iAd% kQPTxi{^/X b,I4J$ jP) Tb;G{_+YxZBdžR ܉=#dF7FV)iRIU0ڟd4O ؙx[υ koЭM }͚-̲{Uς?/Hx-QX1 zCf'pU(3x!3*ZOlcQnyTËpUJ0=`G+( 2_+DiP}SJh'!V` >hjY`Upm$R1#x*AG^4`/x9ų3%<Րm;4#G4 mP_(yI益h w`ɑm>p%Q I(tI+mD;VA %:=rd}h%|m *$=lr5E}G!jrGOZŵVhCv> ThH}.$&)u̮rOSSm,,(oLn 7/ xՆ>(9,IP":  ;oY4fȸn(\[\&[YK!h*WcUNn z\KcE*6%`m'\O]C~kHT X-)St(a;vs/B;y٭p}\G0>a)iӌkBLE ^ ?4C:M@#@le揄36˕D2 S@AuYKYPx$/m#h1p/d*.}k#C z `dF#UqHL@*iX?f([ "4 & dEEpnZV :&zB:*NswҩX]Ꞿѳ=z=)e+!,Yle/ CW`Ԡ!uS.k;)T4N*e9?5dHh.Z{I={^ab+$;.>6-,ɚ~ƫ(-i+/*ũ'FJ$!bh$^0@L4pQ$\A-L_{ajۇ,9xI:畈9@ңg?.9DCY<K0K:Q{ q$y>NMﴠsu0aB\],rꁐ[RS=nFy;=B뵓RCYSPZb]j3:A%!`Ur~\|m02'ܹڽKΛU߽'ly?*j0)R٫|>%P?Y+3zM %v|}SofqDe#1=k!`4_ [D{}u:#$[b{BLF3c{_e'xv,>ǣ\թVsg{T?": h{D;7ز? )fpΚqӯ4Ў qO(#9iVc;Ǐ(DS#60ǾNoF~YmiĄ99|{nñ [2gڔ8^Է>DsA\y\_Y(q.2i\Xr]״񷈧MuamKk ٜHc< J}6v0%]?kow܈nAXԷ\И\B}@&PUV K;薺@FDE:օl yjĘ,2pj\Ϩw{VHm,= !sAU,)'PP(a"~[6pNr!=!ǣonnkkEez4JWK>Aǿ|A o[V%kωVBSx&TO[ #(wH)ZH|-x J)*۩̜0yNЪ~'i7ahZnliBәG%9 K^#pC@%?h H1`YӵER 8[g<2^@ 8$g%يr<%cO~y`.Kd~' zEeO"qd>9EITGA ,Rts?g-(iRb4a&4ˎP䎑d("pjԏHVPōӮ j~5]#Yh 3#|Jma%;)&tj{pTohx9r.^︭+?ZuQ! JЏ]PKٱOsoZv^tensorflow_model_optimization/python/core/internal/tensor_encoding/encoders/common_encoders.pyWAw8Ẉ>mDK^4'#l-WC_31qMt/`4oƓgp덅/_>FBFTmaTڍ҆(MaFvf}#b< {cQ#NQh#UKA: @;UBw+ BHd*@F sTV瑀r0SB,Gk>%vm-NON--Sz}zKs~r6/sK)5/PW3[PZ <o2_n%j*m&}h|z9L=x3OCq=YZh6M.gpv9=,&S|Lχ + #n M$]`.D @< SH&2¼uFӁBLAx1zIe&-;I데i*"`-3&HaA25[Za%`>QeJoEe+kh\xoHI1$ePT9:2äaH)mJD,7x2a } 7` Fs!ki g4g҂WONêO`IxO|Ƣ>{RA"sXE' Nѵ5 ,h#ol*.yϰFzm6 r q G.68.,8㒹iiɊCFV q%p !|+J 7<-)/ B7MxL*Qg3.qzŮc>OX#5)'ڔVнM;u__&ӤAT/Xqh؀?'&+SJ`ª$CdԨ5p \jop~'~v{ g #_B:Z3z=<(J2m_+* Wr3Tµ_m&q9Y)skY~)9ZX%9WJ FKH)^ij} ~rHyA_j\f.ng%huL2+3Zq_uU=1 otᰥ+׸XAa ?|iE=u. j#륔'>:}#E-*U?||8썇!e=Snu;q Aw_o=qX`)r[_>v5~akj<}:O.<|7tcd]E \[>Y/SULm߆qY7`0#pS ?u :}F߮sշփ9s詫LAW#_aԺgԓ~j)z#!|I/PKٱOoY=Utensorflow_model_optimization/python/core/internal/tensor_encoding/stages/__init__.pyAo0 {izvr5V$XPl!&KD~h EGJ;-/SXohv>Đh ^`xr1'*D%D, Ɲ)DDVtMFX6XP4@aI#1`ha7DDdVׁxlu]z0{JlI3FcwK^jA9*F0zPGcwL=`+Gq))M':I/e J2Hn,ͦkxIVdN,Wp\ܧt$W.+7{~AxPPpXPEeVݡ7R8 6⢩!V9;i,UƈB\d\C96Sy!U]#B:gR L) =ʆ{ t8%3L Άg4I2ʪPIE))((ۆMF._<&SggF-ܣa˙~J|Q&~!&'yb,iS'7u )JF9KwKs^r$6)Oc [$/Θ`㦱 -}6'޿>~tYPq*p˖mT#(ۀڨ?.w$fï[CZVZO`M/h *#,<kLZ_|b4q#AiHE  hMs"qILm8zV` :!BLV}5({81KGTXflpL0sSHVl!y/ <xL&LT@EPWTTʡ?`{W4YA2g^$.bG'F~lXf IףYσluּM@ȧ@黽;{HMuM, gP7XF@V@qf]05k5˶u,8futeJ+xmۡF}8:=zG?Hv %(Cw I+-4`#:n~4 @WX6f1_-1ݳЯ!NW  8 HP n˗*&$6epwқ^t)*& <+9iI;cac/].F,%ϼ<KE7@Ww?hbjS="X/C3?,cիVij?`H~.p%`bVXu^ ߹7̿F9b$O0fE(oqx(\2kJ_T-99 ۳_'dgfw'18ӊj&SPYCg9#gn/x/?~}J?Pӓj>fd~~,^'xt*1A/+u/~-o`ؒ6հH aB]]d(?^9ӆi{>`XV`+yN!Ϟ.DN}^UnASπ,CM[Dmd9J# .|f(oAUp="sHt5>b ta :zJ^a2/V>7`KJT ¹+}cEvw!}X.urlz-F2̥eWz\RA b.#t2p1#PjLqoT1wPؗS'žMÇ7T섞c \9ݗPkQҷ&O@hbrcq6;xvL1뷖p|Pý$5RrxrZ aR8Ć]GhV⪢z r tl`}Jl4NKoy&Z]OZrw=T_d"?kX]Y|bꗻ!g Z-9a J]rmMeYͶݕԩ}҈&_|Cig^mfz =CW|(跲wLg3]. 2tf Vn }dܭ9076mC7)w݆[Yk~0vfعn~b4Ű؈ ,$B3͛#9= ەFVӍj6=@ "՞ ,кE4Ӭd;44¯?{995x 1N[/Óimo֤;ۣܥN< [.>!f/ޠv|%@Mq:S"ž[Df]NmXcKW&ߒ?} vvt. HTqS&; xك<14G.QPYx/zy?L/X~%ie$^5XON 1ޯYwIuAXŶxh/M$$6cJp;?N-OXxl;;aAdC}Qj!LVi$]n[\!KS )_,KKh+xH[?>m`qۊKb^: }&6 M ^vߍwvcϨmM?B\ɐEx7)g>c`Vk}Zas _oHu}Ol#rQic3sϵvo]t Hn1vPbfH oƷбdNsE2*3{-C}9RKrnbWSφVS gk$?2thoP&ݬQ늩%'4y>SċHqLRmOF:񒡖/&/mMdD{0E }q'ɉq7ˊ6oϼJQKƠޑݸ *cܐL8 s#Bw$`AC-'RH7.aYI]=l 547O  jz|7c娱i%뵝 *A0P7fá5Fm5QgJ.txzHӬ́]WytKY3EඅKqEb75B{2ih@Y_:|<{@ h' qtxƦo7m/p3;PKٱO~^tensorflow_model_optimization/python/core/internal/tensor_encoding/stages/research/__init__.py͔Qo0e2mI"]H[ sUc)e~!RҞ86U9j*Du!DRv9آCE'p-8ɱVhS|dt2;Nhg)|heu AiCJ!B" GA(1R0:̔0aJsHHohU#7B6҆V WuZ' 1Js`z{`8 SVY3 /T5K1[[Őy* xN~Ms n2qZ<$ϋ`xmP. dYb Dz`ӒdxC+]Ňj~*kt2ƓmGBS*bH4>$;xN5" LuW^z I#׿c<2WӜM%+XC~~.-IqCT1ew|/aR>Z)T&?oOL#},PKٱOzߏc^tensorflow_model_optimization/python/core/internal/tensor_encoding/stages/research/clipping.pyVQo6~ׯ8qW &.f4umWCK'Dj$[ w$ǖ5ڷywzX,-<˯-f(ү3KMQA}I< (e, _3PϠ zV7BT 9@* AR!:‚1JإwӀ @dɾtoimq~vZBنJ/βҜ].)1g BS xAb>'_i*Gxr1R %j1/Z-= zۀzF0>f_h2Ƴp _f1hތƗ@ҊЎ?NG;"HUMT\|P%\MCBD.,~e/0zC69Jr-Ti DQF[\4ajsgPbpsAy;u7Ng%n倄ISNojQip%vl$-4L|w .u47S+/V1zF W1AU-52+Ms2 V3Kĭpi<_h!-ع f֐@ٴqr`ŗ/^ɰ0VCᴓ< # an]db xڔ YgHr8^^MbcWOSR^S]Ʀ;s7>XIy-Q//}tn8eox[Wדh9|Vp`JRXt{>JsDṫ酩"01ϸ4K$j)⥫FÐm(ͳQU9CqzwH-k 4tCIAMiXGO#.sL?Lx5AJ2IPefɋg:Z+qZy-:zM}m=KM{~{ܼ~SP7"LlU~hi>簉Gӆ:Mkv=Y^r{XIoF j}Pc @KmHIan~'7{ﰮS{vzXoǾ[s;wz{.di;#w~88UullmEK"/F΅0zq`l8epĒ;|}9~$m)weٽb+e9s q_ٷ-8`{mc튰5vzGG PKٱO`L/\tensorflow_model_optimization/python/core/internal/tensor_encoding/stages/research/kashin.pyZmsƵ_WH%ꆝjbˮ%'h%$ d:9g_BBV<$=9gwLWB8=>H,Qɋ7iU 4iQŃJg[=t*KT!J?_)QF8ŀ&6RnE2 $3*6S*4_R-k].#1ώD>)%fK_׬9OȒϢ,Wg/_HQ^_vy Hk>e2FK : @S9\r^(9 .tH|Ve@%Ѧ,*[AKfZ\^__^@˛t#~:Z(^z}ys ވWGBV`6䇐ȾJV RS=S+9Wb?":b6MPIR';JEK2e%G* 10%1Y*ȗ"gUY*J^BNLZ7-D_ٔd:8pj Fd+̘Qfy9sՏe4W% ȡ,慊XL]{ylߍEUx,o0dmT"~fD.e\)4c!.Aav9exE)8QQXlX Bv a_tfV>O)yY~zV|˧HQ y2dV:Lb!VR>9OEx01b$y_,AɮxP:siYAG"r׸hh(QN2,4$gc̔,e"Cm&HpMs5Ck,ڿϔ̉Llr!Ӫ(L*  L51Ih0^,fe(V#D Ï06+%֬!ID!"d-$PgŠE뚺ehR8/iU)r-L$.3[j*ލ) 5a i0 IzBoC­*(2maASgx@Uȡ"UT? កB/Kf: aRT(>(lv8('%Kck|L*s܃ \U\\#8A1^f=(VqyyQ3d= ' 0]U%9ZuA,ORﰍ*Z7Dd#BYU c!PvѧYl[n9ΗwNLgi ec4uV082տ(/g΋5߿#(;7d@f(^ (V"J Lj W+rN|L-}*10YNZPwӜD xJQLܢ)Ԕ2Ԛa>MԴ;G$:dv6*b7hY Vl{r?W&^R[XVpmx1pGyά':72ETt'$aº@as{vBPAzg<})e Nlʚ]iT$^Ɍ"y[a@kYh,,ڥN$9lrǼOX7mNZ9Сv#oqI LyvO {+!%?{COo 6p(x~Vqg~"htMA{ =bV~~ߑ+U[bf˺y#gZőǺBU4GRFt~gjk~[uaPlobEyDQɏ(&2ᛈ*cO4SDIEdw08 Gb)71jVO~/*+ٰc T6rkrVcܨ=9kJgngwsƺ9θL~mڳ˨Mα'|Hcuuaض30Xb I*l"H8զghUi46[@Swٌ6^:0ήp& ,;{wd$>+"9ǔ/t29t e`S۽y; sk +NW\ȹ;4z&e}:v/n`8?};,i4c+Az!NRD]hy=xd-4j{61?^yYzvUc/L 킦MSvQo,FYJh}:͔/:{[G;紗}lLen[io-zY9vU"c ܙ :R[$i떍dfⱌND?Yg2kWagHܿ%+&i2i//;s錶jUg2}bWy=~cl灯/9r᧬2=#zUkě.ZL3g~p %n_ Aꯦ`µ i]n5 ;+앐 x,N|7QR)U a3\P8#VxvaK4vr7vga @wz[Rm$S|duD3BL͢>M~Eg$Vh/*63ێB"g9unbf;}C/ P^wz5fƧt~KOTOf}'w+`4!Nlӏ_?[pr:=L~u\G4n]d ta< GۨqO;>-Zӻ'9 ut7αYA ˜ouO2Emu&nAQLG r ?/Zͦ`YUp]S{WmܕAJ70X^Eڙ]x-@|=RQ݉SugC;*=yÇ ZX@xww=mVf5IEPKٱO3;qZtensorflow_model_optimization/python/core/internal/tensor_encoding/stages/research/misc.pyXmo6_qKQe_6&.j4uiQKKML"5;H$maE;=97)ʗm5`YSVULTKh2̕ș֠Wxh%tftR]({FZW.}23+\Vm^zSE 0t<# //x4K8g >OWݕڏFrG;2e@&Ad x.,-S%S6K%7Ը.G{{{oNbL*S)F5F*te&!rRqapU$֚( Ʊ9lLhI!SY'w\#EHbD(6?$Y|,'q"t,gX=VKis1<C9U G)ɈcHݥզ_A R){ػ&g3I>%oF:ΆĻU+  oqח3rmX)ː\pCHW<\}c4稧I0T Q66p^k}᣿b̦췵7&-Ig5(ĺ`គݱ-5sqwlk`0t|MYqsmq,ħ&~pCݿ_`-^ d&Q]O5֓l1D$zI˧yz*Vq )Ӝٹ>v\eaw,xTyEh˾,N6-A}qj%92@EM|{c25{׃_[ݽ=cԃ;vAO/r75>– ^gv>ii=;eޥ;{*, d"wttU[vY0 َyҽ>`c'9=>a2U`wk.Dz9ŵT:d4egDٙB݈qyy^%1ŘX(V`?1s+{'NdƞK[nip%[ɂZE$IXK2Y&<'ŵ91gB jO&\E|>6j,٫$6{fК)Lt2C fL*ƧJ`$\%EM夘s%eB%hYˋV ηy;}{'svzOO<+{:3E("\) ud&!)׭* b:q |WLh&"d^@m'n~X*+,nD1 gVe XQI$2ϝNy!tqhI8刑7g'? ;s".ql-H E=b3b/EA/J+R+PD08J&h̘tÀͯP' 964d%2ѹH|r))`({ R|D2?ܱ6X*I i[& -t 2( , OK9 9)6|(h+Z\lND /LKh1`ŐZ^$z n,pL\Qb8.nsx ,|W2I[3Uoy30r7`ϟ>%ٻ=`k f.p4yyVB8uO V]$%58pdI titn}h=^ "G "\N6x[L  Xr [ bK 90B~-gބ>qc FFR ^>z'LZEG?ve2I%J/ ' z?뿮²"c^'C $DTlF)T^F_ϡA{x o"EIDX0T -,`b&%~IKDWNCQGݽMPH(jN# / j57AX_Mwbo, eF0F:NK;͑(!@lIboLAqBq+%@^6SC5=n`~)Co%2a]RLDGvIq*#ኟz^$E6n`6|0ggÅ}$fq }Om`LJC6Am S_N%3>[I^]Vaj͑34:JrIGwe hLYk S]j4+Ţ,ek5rB^,cкr?4 'YlnXoEn|m$ HnSawgIf=3EhC0ӽЭBuVR\Ppja$l,rrc) t߈_ى՝#oi_UnF{_hWH BYߣ1+ny=HԠao5%q[Snl##$W.G8O,r\WhLc3ŬF^#N(upu 6i{U*-@ˌT;rU|3Y*78XEdo~v /]vU]%;=txxl{g5fkfbsu ?mY9NJ m4=jeBDP! O87cKopXnS{oS͐71dl V_h3Ur߆5BKflion|"mEڷ?|m)SO>iRPKٱOU+kbTtensorflow_model_optimization/python/core/internal/tensor_encoding/utils/__init__.pyS=o0+fk; ldbh$Hԅjqv;ll1B_ uِ[\Yp [M!zY̶'kC?p$+ /y1e|mYuZeu>/`"_.![|q1^ 0gfxvP >1PQ(eNV`9x iF1!IB$I6dn['LUN3-dI\ Bu<@ 5_ _`,_G^Nc#'{ *0 ٤2nj ǃȗ0rdCBEJznJGLKT[ng%wVk'ʧ$zZRV-(Hּvkv`fs_-^`4}l>PKرO aTtensorflow_model_optimization/python/core/internal/tensor_encoding/utils/py_utils.pyXmo6_1~ &n[k"N[A%E&u$eq~3CʒMv#3g>`z뛿i#Ijgwüc] Gs(;Yɛ | %<Q2uhM \ť_C$P*UK xP mj%t!aFM(-PoPgx߼{vߧѦƮAҽ~~y"ft-+* T¬׼!{8SyVCȗp5_by/eiqGpqxoW $rO%R|vr2kd*U_z݊Ih*G^VjU^x~©41FN;n{L”h=b ^9{ WE|$IQ <D'd.݊iazƸB{^F -& % r|uy',&wmAPh^I:|JBa9tP%t҆O>BQ [#Y'jULI*HrNԭoGY _`x˭ԘAK(/A7KkQ$Q(2F4r]?ԕrC= nR] k!dMX t8^-g|Afb3§@Nkl[{G_Cbjڵ w0WH1rt "{=E#[Ty:4Zc\ D(kpAB U`_Ij AiYN kcКQCfC'+;5ƚ*NX b}i@}Vg!Մ {bwI"λX zz"ÞŸI)bW[2J3p 0qb[xkbhod}x[s-f+AMw1փ)zρ -CR3{Oyc9|Qfʹ_Ɲ"57̜?ZDnq';=I`80??|K3 vt8AK0֝=̘vo ;n"wSL .j1U{7c^>]R@냤I#0nc4M}Xy>u#OhS\+s6b'zxs 8oHPΜO;{l<‰f2+k9tD 1js$SwrC_3]4> L .g(JF8.bW[|z}ԉSd6]X*n^U%:`d=%RO3qd]OYt CDKۿT/4wLrs oJJ:+NAmL?< ҫO/ _Gsw^^ \_,| ck>㋪WxQЏ3,,DP"B5ZckdF|Cȩ.]tG{G>v %@E+"c1lVg6",X-vaL k'_X+ ;mnnIJq\Ȃѳ^?@U /3Z`oYz2\1^ w} : bl KO<#4*p=ģOɎOF`}#KSjqؚ5L<.?PKرOx&Zl+Ttensorflow_model_optimization/python/core/internal/tensor_encoding/utils/tf_utils.pyZ[oF~ׯѵд%7)ptclӠ0 jD$IsHKއ33ȲmHl9s.߹R{,x(h'J\TgŏIU $NKU"?!HTi Qbi.CO<*tb>-xaJ,HRTZD,NPP奈Sf_{Z|:<>{%_?_ՏW<+yAɘȶWJue!0!J畜+1TBbk{$2.ew^xтSU t}ؤ䧁J, sP;{Y-E̪*TYQ 9Y5eQ=ϋ8-q7 ^^rQ_PZeX@_z^fb&udBFr)(( jȺ'=! ) iD[-BHB’" Kόa4Ġj $Z`;k'(p*-A8ON&vXS11d&SEga+ r"BkdW}xv]BQq(l<‘L'biiKg+wyjSei](GYTqjoXM쉓 9 i"/ K1Y/M<{^[ )a@ư9TmQdʼn87(N,LĨf"6 3\E1 6<`fUϛ]6)_@2a"9F /=V3rEG7Ɣ* \Kb@W5a0(n{J9Cebo|MژPORB/yjMȪq$KkK)BeY`èkPщeKާj95 j];W m{"+wڠǴ28IkvDgl{vs09Ah JJ;!}m$,t&h%|de-~!b{1=@lh0u#0 `s$iYdI\!!vԚl%M.gCG?\(9W}G}7H(8R]Gw='jami*S?gfP@vO77ѠuŦ̿G| ?ࠟ~]z041bȪx (՘ƉhSxYm𛛡 th#|x(̍xR\h߈F5 ,y *=V=d[]EmLDbiDUSiism>^e6Gl䛈xLb"0طFoJ| ߡ*!"LgJNy>uxH8:xˋIA-0QCUV .ˆ~"[/ Uu^1y ɲܑH_VFQ3wMs޹#G$ăD.(~l릛nbJuɋ֚C+tԔ &ֆ( C'AEσ[@f9ZC?mH0.d;Qi!f9+3|F-Crn- m>z@vEF횩sP` 6e,k/49L Gz&RŹbS:thAHVL 鈦 &laDL#)Ny s".תH tb?( Tw=RĖe\I">D6KY/t"MSL[d&ɠ>T(J࢏rZ,gʚ)w'M-&sY@U" Pf1ʰ3e b^IhTtjcC ]EV%Ӝ"ˋz )@&/iT*mNK"K1Uٝn$b Y1zno @QsUӺ)0L{\#-!M]LLvLX3מ"Z<62L2A˨x0ݤl!#S<(~Xb^ѧVR.P,Qwa1 qH5h$GLȥbtaTno*3d2U%E`EGōCP+JIcلne=8tYX9tЂlx4eڂI9Bsi@ֽ#аȝ+k+M_[s<zݎq֎]Q 0*=+i p@7l2 kYG ,KX%ofl$٤-`~>?~s7~{tG}pb9 /GٌbѭGve뤛-gqEfPq7˾}s{|ie36B&Z]VZG?i\sYՔJ'gd%X?hDXZI1)ʀ >8qc_wYtyFK "җ1a]PW0u!·tc;aM ݦ#Zjm3d`9Z:r8"VHg k$ke]'(.h ]6Ԋ|j#vy[ZfMD]ŝJĸzMoUJYիcIY5Wxvm?7qL9}Aݸy[rj&j6O/[ed+C (@FV7h1q{O椽^Ў k|*_>{KfJN-*d),4K@4sjwR<̤m!MJFٔt3uZ&7\޿5β mv8a.3)ߘjۘwʍ5FR!D!T4A4vt(wYLXX^{ȘnjMtensorflow_model_optimization/python/core/sparsity/__init__.pyn0D}iWNsKTA2 ) rM$ߕ r-/7֝5J.e,ϥq8GuC 5^jrlPۣӬLM9s`laQZɩ}3fDͰF >rU'FSw`/Q'('<:V#3^#.Uo>kPKرODtensorflow_model_optimization/python/core/sparsity/keras/__init__.pyn0D}iWNsKTA2 ) rM$ߕ r-/7֝5J.e,ϥq8GuC 5^jrlPۣӬLM9s`laQZɩ}3fDͰF >rU'FSw`/Q'('<:V#3^#.Uo>kPKرO,jzJtensorflow_model_optimization/python/core/sparsity/keras/prunable_layer.pyQo0'DHקӤ4Z2tS*x56MiΆl:i/wgs+5 g?Aء4J5@FiA,l]-XFIpt,%j?XA)o WΣ3p 󏤰W=lRY 7Pq/vBL/3$^R t$wm R#/ȗ{V#$;Сnq4W-7\O 0sj+,\1^ F|˞# 7Vr'N +A@]PˋO_ WE '<(ZA΃_PKٱOG Atensorflow_model_optimization/python/core/sparsity/keras/prune.pyYob`( }P؁$=ڥ$+rKr-+;>}U@byofSTVۿ݊F+M<[:fxtN;AxgPʌkxT|%<98 ['!*aͶ p$! ,D΁? $j]ɔFؕcs i hfYY[\ylM^AzrvW>˜Uo(O(e64gɻ Q a#Lż-cEP4p2xrMƓ:;:]ߍ&ps 7wkF?ÿTȆ?G!ѹ&X(/)x*"EdKKDuz- 9ӠxRZXfʞRf~`ͅd-2m)9pLdOB)1p_/5srrr%BӼХp2+JVc8/ tZX`r$CMp53G$n3r)$O,J;ٖxyLKhi I\r-ҩIj=U53Қ:k|4OL0S3ig%[nK- B.U[dvW'Dv/Ƨw/MyW _{w09-x"AǰUnzaS5I)auxW<+5hѦ@I)ݍkgC! v|Am>Fݺ1ߊmAMak!DTLIY sO F˰vo=Z(Caw7^R41>L,U~;WKRKV+vyPXLk ^cWx`6I b~:D5^JM%Y]FX;*k x"TUdpذ^rf>=%gMRqUpMOM+G1;[ۚ m8..SUJp1xW3s,gW7! Z=ElŪX\)%1T#Bsyˎ(o::bݣɯ!Իy\uTdqم'~#@kM#Y_BIg.+\v5. f BA-m F,Jd~8O6`ن'oZxʶ‚d%M-Bw2@>ij,/6=ǯ\&s.8 }t(4F{O6!bL: 77fv:L,'i(4}򋓰6 ݉TaWT1$L)+UFQi6*:H*}ř@[9W^qP,BNQ3y<\ ]inF͞ U=@r:_֊: |օ 6Vfj ݵ(A[bY`q&pjR1/Au 1 YnOIDYCCeu&pjW %:~jϚM q:4jy :i3 ^mL!:^(/m6 v|븍EաP:',{~E4 rk)Kɿcw 44*NZiN%GaI`蛌x-)LL^HgEm $EfP,(pmnHrU?ᵢ5%P Dj%ea9KcEԿpB[{hg}74}фЭz4-ikef"<9?M*-o(1-ssQ=hg jB菓Ir#u9ZsG|rگVm;XCQzCORO*ϴmʎi@&xviqbٰ{ziKeO5E 3Օv6/Dԓ\$ Kء2l͉px@ÐU |jy(W{n<)c_*jSgt5m2KDhgqL&&kv_둩"Tz^&_`\c! Øa]EnxIDF?pLc"g" *{+܍/)}Nt4'9c[j{WB*KJwPKٱO=>pJtensorflow_model_optimization/python/core/sparsity/keras/prune_registry.pyXs8~PeZͼ\jM,0\%-$Sol!?;v%a?/6]Bf)vX? ل`M@zikc##(fPp+=2fϬC|o԰)ҰTE ^}H 1e>0KMi 93 70}$ᖬ#<̀|4{$lEf ֌'3d\30"^s PK Qb vh.cvw=cݡC_K2鏧Á&n|=돿߇tn"HRm P"0!/GETT$4S#"(?iM`AZc]bȝE)y\_\> x+|xMr޶͇F$.d z4_F˕аq aK \p#So-u[pAЌt lME`.<%LMO!7[h[{|SAny p_>Rc'*ƚjy$D3qƆ_|l!>ȈkMh9G#P ̠  R븏1xe2̵Jl햿(E||= Hu-MgFừKlGN?L>3 O㦸1DiWnxI=<%HI}2ի^ Lz@J(*0قPقhHU~C7htpO#s3y0i=,׽#wz$xȥMl=O jQiUs$D?,S^N-iĻuoPM'Uf{ !pE1NfXN:MhZ_@n iUĈt 8v޳TL@߾"6 ֠؁4d`;~{[lO&U1̀`즊.oiYZh]Z#rdg;r|BtR8C %Ȼ:hLbϳ{X S1v;*Kn:e4dU@`<=ԝ]iaGu[ihme4fyC{{N)vl NA C/Ҟm\4uf3Yݽm eSM)xB{a=NBËy喫Iǽml3xE+kahƷ7FY5e7STy=wdmEo99]XQ (mSEPV;6-\<9}{RRuY3n5=uqE1sj;~=" g\/Zӳ(<#t|7?ܑӒ5IM6^OW"uLDSl\nRW6=TX&{kXgګ Jt'gN˵ޞ{Gl/8OO;o" 0xř3ϙK[}MZ&Z&yjSAC+ PKٱO.T"\Mtensorflow_model_optimization/python/core/sparsity/keras/pruning_callbacks.pyW]o6}H0DT!nbF3gEPt%sHE.II/s:dBŋ~ aBKk4f%aRpc4ܠFuY<:O3hD ,ڝ@<~58j_a#4h$!%>XRY%g"EXsrnZZ4+329Ti r6|Jݑ7DA_ Wr&>)[˒A*`B3]+n("27kP2$cG1 (]Lḑ0N^Yd^.g/~^F*r$it9\zBƔ_+. F=ۍQ%ڏH[2nr;Snv974j"sѵl(2{w򘵬{ۊUBMJfXҎ~tNRakFl6 $kEj4%{Sg~wnzEG+h@@oeJ ?jHT5rV]2BEFNX4.֗ vI4Ik%y%%4+e )y|`4[8>| olӟmo=ϊE0'IHd2>I.v5isxh{V6cϥOW %nx脙tʭz4 {ێc6T [maq:e8%)̒bhf\[D6/YGCI"Eiݐ { hI7^ɦIJSӪ31\$~βX_lWi6<'.+)p\ MuN&e!0t56/Bl,i=|u$%"KX``2K,ƻd7Fѽ6^le1տ_/$SYػlYG+rc0Éu^wTCh*v =8nj$tA$lq*'O"xyD /I ~E'>_'3@hKu])ٯ2ŪcϙI&<TsԷ=:݆Ѝ=>Æ`ܸhw7ϐ=9%-myfU/n]E-N76>nݦMx}agľWOZX 89d gqL[]?HyTkξɯ2뗈ڞ+J*?R #8!%+PKٱOJ=K :&Htensorflow_model_optimization/python/core/sparsity/keras/pruning_impl.pyZmo_?ʌ~[%;`;"WKZQ~}gVh TyfvcV4;W떜NHn׌ܲZ ]%d޵k!UFUELk|`e6:y$]]2IZ8?oh7IEMβS }u 8DG6tGjђN1`Y`MKxM i*N낑-oZej_, h)PSo2# gݶ76ZL՛7?^}yG>SH[%ڀ>]! ]IZn%oy%J\JZ]sl ]&GrqsD\L?\}%?ϯ痷o5y{u}G旿^\1K#QPu c=(V%/z#+d 搆 WLV?3 =Ȳ #\N˒il!yەdA197didfdd4ZJ!yNqSDK[f3rhrL:xvȑ][!u9!KZykVI~sFV;\@ ix>NZ0ή2xF_@[dPc~0NIA:Clmpo)9IEH"oM@fvZAG )BX|>ށetIO)DFk0mR Zt^{Bjn[Al7f\?8:ylK95})I@VhdGWQ[-JƉiAI2m/||F<`q\:ƾ2r b:4\a7E+،vZ êf>Q+={|hx '[(033JUİ[L 6x]0lL7dhɻAݸ:@he <.tjO@ƚ-a1 N,g Wj%SO1e fc3N߸g=O컺Ob*{~Vd`Jw $d/Sd>%B<ӻL9K׍o{'?Qhˡ^iN+=VW-@u+dhpB352ԟgߠncdxü  9F/d~³زꪫ8`˥^BȂ]5#5u߄uGcs"[I{7ǭB6D+=Vf@;a1a/=7+Z"WFg2AVʰ{ wZE=o^[6lcC8 O'1pk ,[[c h.©Xܒ}z9}6$zo}~Wqz©= 'Jh:Zi7"-?O1Z&$nYcwgw W1V:]>́X)40!~)IO&ȫC7WNG|-FfA*nw}ΞPKٱOSK $#Ltensorflow_model_optimization/python/core/sparsity/keras/pruning_schedule.pyYms"ίh*\ #eU8ҕ}r``ew33+=/ AZvzz\AVë/ppʷqiTLnL-W\>(輀D<< [O\*&*BYcHR B(XLH LwY,Xr 58&(X+͐!}U:`Lbrs[Buz~u-?&1W $w.$:PPʘ!6NI޽Z$tLr Xf,/\%@sΦs|6 x立nnnvsg8 3I򣐂h\skS+x("DM66 ;ș ŋK,vB3m)EL>svvNF9-aLi LsrIZblC<:D*5Uem` dL$XKTރ#ƃf^ٳDql4{<ՎH;PEb53Fz~Ǽg>o^?ah'dR2%}>w10>pL¼4ςk䝣 4Cy ;d`0][DR41-6HGFG5DhPpو>CcK<Ȓa2dqLI$Y3>hgZ,ICY!?u.)i@ibX:Yӗ˥ut 0 U`͸Pޕtp'6HpB[`A~%="l4ƚwذ v)JkF=kXT[dA"9h{HDiM(ʓ`"0z]^,1RD[n~sXBaJcaY "AuoY$߭0mD܉SQV 0p.%)OR@L7kǥ&u!nHyݡQTU[^;,_OJU)`P>L}'bq/0 z\(W"x⣐/`6*l pW #@,` ThC axxqUXҨW|Q c,-X)Нk-4?,zBɏc=[x-FGpP|<, ʴ)MlߒXց,sҵX*Hrc3nnZr " FR[%:Mx6bSkzR:l"#\IӭЕ . 1eXsxƇ$ݡ1at8C[g3RFŽsNvL/< UDk=A#M[]L|,% >ueONtmV l[zR'Ą'ŷoa9'5baLh^(8!o{&p0w8^,+/5l ץ^PX%$;ImRrfW ؘUz&6IJi1ĕmMumɲ-N<)qai"(70LJ/\z`w( ;(6Iʹi}F/};-k1q '8YL]:/E+v\ΖcL4ipKXPrڔeKym/*^t:j'K7 5]?^׳d+|Q<|}1h&IA땆or>:Z+Pm2X8::FU>Lxji`lS7TWlgD$ Za1d Ӎcd2smspR`y"ď.}}zVtTAÔ84ޔ2=$(BbY'A |AALVn> +ީۇ'oc1r ^Wobo$_>RE@iCcg}'zX *+,ǭX׵$z hS=aˎӕai~ؿ4ʼ_FZ$Qf2Y{N~f.72+|D j^niXQr{Ȉ XĵИꧬP usßD_Bo3墸ÿm5z UC!c'(5`x0??az1foݦjzW^A_=A OEY8)Yi#>ܕZZfF3ӾRn}Ol6_uOsh$Vڋ/M/{W123a@o 6oi@MTa^IY^*;}6fKw{Q0BvI>6I3׶DI^[Îh:Zz[kGX|q8^q ^{~龬`dpI~M''z}aeY?]QBۑx}|zPKٱOÄ,MItensorflow_model_optimization/python/core/sparsity/keras/pruning_utils.pyX]o6}ׯKloZ+x6mZ$n0Ƣe2T^R%GI3`FQ[_d^[H7ףa0({0-Fi4 \qOE> p Os¯rmOg嫳/pPPZd`ra/-S P75CM;`|~#*ʼya%vSȌBVorb72c{PX9BC0jmLsDIZ%V4@5̮z~2WW>]Of٧K|!p &HRupyZyB&++ܗL rH9;aș%̺e&'8;;bE&օ\:KPs:\BRMvL'n_2}yAZ񺰅qL)mbY" װq/%F13 Xk0?`fpَVW(egI!c$w?I[^?s>Tgp1-(pbA5l|:εJ 6h00b)1.&W^ IdLjra`Luj ܻ1L=M5܃  n cPK7R%oq#8066 d&ΰ'kA:LBQK $_K7)§CGOAGOA#Ȃ<yAk#\ڏ5Fϑù -*!djI*.PޕQF=EsSq(ܱƹ~NQ#a.mUܶt!ϱc ڛڏGn{w 0-]T͒0";')2"8=z<2l瀧GA~nf=vcWox{4Hv8)e;T>p3eVVA7Ga+yBk)K#y4ۗ5熈tPl&,pa'LF7X*&E@ DA1}ݡy5a6ΑU^Eb)YdIcV{SI``< cЖ|H%:"ez:ZTSJڄ@0K;ՆP^iykeAE5G=VTbKZ'K$,ppXoQO;pub uԶ%UwD'~zdAw\ܰŦ.~1|2:ioEW=Tc1yeŨPO q[1O6s ++B!aK@'5ұz2>*`eyBĹRKei=F\/- RLmA{tx<\b;Ɗ !Zݎw7B[yvt_4;Bjc\G_V{_ iƮtVc]O?^xw=I1\ޔNN=„z -K¢h/ݶ^u#oio'\ԝ-)|?^Tإ(BF[O~ta,DͺϰG? KhomIy BD3'Xsh Iw—'>x'Gf"ǥfx:BT0'˃Ed&]6s[p]ݥ PKٱOY /Ktensorflow_model_optimization/python/core/sparsity/keras/pruning_wrapper.pyZmoƖ_1H+Nn^/]#NIȑ5Er95眙!主h#3̙~xY*]oj?F[1+vbԛҡXdiZ\+{'OO7i*MJX(e;2?JE.^g" OГa_4b+"/jhTU)ĪEؖY*X]Zox 2?-D%fK/ Y3v](ذefˋSK>ZT꿛Q{!K%NJa.]i ]ꝬPTUlu8?쒹x7O˛0~wn/ōxw-^zuy{ O??˫W3*l"Sb#N(#`Utt8WnZuq&aj%Ki-k~3:m3SNT>MDOMVeNgMLSYϩc0dU[En*Er iIz[ <&V'[l`K^x3=8Wܪ]QݵRGO/ʣsX$vRw*O׏Z0S< T:UZE,R^uhڦNvZJ_u%௛ E0ܟ[uUd ?rIgjkm 5 76t u)}_dgDaRk?NƙLD ޝę7~OyS5IT`qz~"-AdުW Q~])xKeWV 6r`uG IԲZZ8@ =(#:W9t#n 䁙6"R`r:5Ѽ!Ͽ+:񟗛`*ߝhjyF{zvR `#N#ZigI |IM_Z 47I9/)/69%,< m}ˢϺ4SMO9}bҬl`[K#CXh N(>IC"Ci6e+O1 :je= vݏ v1X9ېnz+;˔Cܸ2 NG&wǴa8N;iU,dgrj*FSQGd: 7J{ҮĠ@EhFEɬ+Dݔԗ0P*lƬ2qFA;?S, [R=}-18>VGy #Jc^Pg`Zw68#7YP,̢?cS]gFAflk ?LvoR/Euw*N70̘*w9I6-ג,</QWj[{F唰[rwmǔ{Tʄ5G&DKYǛ2sp|*I(;H`1 WK.xke馲e#SS\%")=3G]7Y1[l.bt(̣ጠ5nKx?;sٸ10eC6],nvz~&#SQ~n R<=e|j]p\ֹ_7ŸE7!|{uvC>5_hۮ4;$ϐ'6z!z3z7!nJ2xeu #+F%|y] ar4OJ}O>QvEp7 -z@ܖ\Dڳͩ N;QP'\_rC'IR7[Q2İ(uEV8U:Y}{RVњ[E4´V[dS&eV՛"\n9Ȣ':aJ2+ ׿i3FUOlYW?;Eq*Ӻ(8J7(V& S]0ݏ,k6z׀z[%d}-^R@9T}b NR/{eq,Ϡ;}<ܢij;|K&1?Zu{o ]9bY0>ŴHgɾ ԂgϬif_r瓞{vcOVtqkf.r]i{ j̋<衝m^0p^V ӢG?=6LjwGI'PKO`UF@6tensorflow_model_optimization-0.1.3.dist-info/METADATAQMO0W̱HM[8Y]*ҳq&%ۓcI J7kyI*C4%|(bJH#ҾpT-Oƙ_*1PrYmvNA b6 HD6BT(uig45z#)0 8;,oar5>Mwum 9,zr.>ʪjM]UOdZQ𙨵<*)c%[/+ 1k#˭z6\B\ⰧP%>؇炯"oV%$|\n~lĩU1 |V6Łp;soc Y]cds{3'<&UG FDOuu[n`'0SkM;Z3831ee<9{[!SO#PKOF_n3tensorflow_model_optimization-0.1.3.dist-info/WHEEL HM K-*ϳR03rOK-J,/RHJ,./Q0363 /, (-JLR()*M ILR(4KM̫#DPKO< ;tensorflow_model_optimization-0.1.3.dist-info/top_level.txt+I+/J/OI͉/(ͬJ,PKODf-K4tensorflow_model_optimization-0.1.3.dist-info/RECORD֚Xu-o5DEQspSIjYKMl`~naTMU-*fMeu=>qCk)Q𙜐gn9u1Řq .B4G0P=*ݷCepP[OѳgXI,s:aE=ǵ'u =w/CIB=]"ϫ*1dN7@ȟggĵwwGmCnDu{ ~2e ίj-\P5(撅7{{'E\D߿vs$~:VtV4pG[u, 8`,a[F]m9/+ gx01h"_xI { f7t,Aq4q7{,>5z̔j(!KDdR=Z WbeƷ+<zDn0h"8P̻}O'$~͌]di[rCu+\iB`,~J|F݋(y k%Vy_#f+̒bUj"8yg(_%,i-28*<r4%\Nډ[0&\Y+a)]Yo9g`r @ql+ũmlDŽ!h]y¦K'@]h@f`pvNyY-fEap]gA ע:J;T2?jF| 눡cqoYy?},'{\"w4ʼO7y9LC{LE}wa*PZ,UPSAPm$ 8XaiDW,3i><ezbP:E?JCdƈK OgE܍qd6ZlfhNp{^t +c_AUe}\WWZM$'ݣ>]'b,bjnQH dw_#_Ͽi'ӒOiڹu/Wjmw0%iD0g``V,}n+CI)j]duN&lw'a5BmI$JFȇ+ZzN^lt" ^J;Cyz G@@J eŘγMA7~0?VOW Lx9^QЅSEdžB߲^ <>iWWc9?ډsnz:oZ0؛v+eq8t;EG $: ~)a'Gea\瓢N<Ԝ `cTl`cG^ v-4DMC)0ϻt \McjJk{ct 'hu-ǰo4 s9yUIkkܻӇ䲿d#;s/r;@|=4msX۫ø,sW5x1 -k;cvT2pDa:{ n8ڷ5=i}ng8V(UVtw B$cv*F4^k=tS*'vN!Qw|bqd8ɱs8; qR̦v<7R^ݣIXkJ2TG!eRZ:^t7⭊gI<PKٱOG)tensorflow_model_optimization/__init__.pyPKرO0tensorflow_model_optimization/python/__init__.pyPKرO5tensorflow_model_optimization/python/core/__init__.pyPKرO':4 tensorflow_model_optimization/python/core/version.pyPKٱO09 tensorflow_model_optimization/python/core/api/__init__.pyPKٱOd%Btensorflow_model_optimization/python/core/api/sparsity/__init__.pyPKٱOE'] H#tensorflow_model_optimization/python/core/api/sparsity/keras/__init__.pyPKرO>tensorflow_model_optimization/python/core/internal/__init__.pyPKٱOYy@KNtensorflow_model_optimization/python/core/internal/tensor_encoding/__init__.pyPKٱO.\5Stensorflow_model_optimization/python/core/internal/tensor_encoding/core/__init__.pyPKٱOL=hWtensorflow_model_optimization/python/core/internal/tensor_encoding/core/core_encoder.pyPKرOd'A|Y1tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.pyPKٱO̔bY6Ktensorflow_model_optimization/python/core/internal/tensor_encoding/core/gather_encoder.pyPKٱO\˥ ;!Ybtensorflow_model_optimization/python/core/internal/tensor_encoding/core/simple_encoder.pyPKٱOeE"XWmtensorflow_model_optimization/python/core/internal/tensor_encoding/encoders/__init__.pyPKٱOsoZv^?ptensorflow_model_optimization/python/core/internal/tensor_encoding/encoders/common_encoders.pyPKٱOoY=U=vtensorflow_model_optimization/python/core/internal/tensor_encoding/stages/__init__.pyPKٱOU~W JXxtensorflow_model_optimization/python/core/internal/tensor_encoding/stages/stages_impl.pyPKٱO~^Mtensorflow_model_optimization/python/core/internal/tensor_encoding/stages/research/__init__.pyPKٱOzߏc^jtensorflow_model_optimization/python/core/internal/tensor_encoding/stages/research/clipping.pyPKٱO`L/\tensorflow_model_optimization/python/core/internal/tensor_encoding/stages/research/kashin.pyPKٱO3;qZ2tensorflow_model_optimization/python/core/internal/tensor_encoding/stages/research/misc.pyPKٱO1i ?btensorflow_model_optimization/python/core/internal/tensor_encoding/stages/research/quantization.pyPKٱOU+kbTtensorflow_model_optimization/python/core/internal/tensor_encoding/utils/__init__.pyPKرO aTtensorflow_model_optimization/python/core/internal/tensor_encoding/utils/py_utils.pyPKرOx&Zl+Ttensorflow_model_optimization/python/core/internal/tensor_encoding/utils/tf_utils.pyPKرO>tensorflow_model_optimization/python/core/sparsity/__init__.pyPKرODutensorflow_model_optimization/python/core/sparsity/keras/__init__.pyPKرO,jzJ^tensorflow_model_optimization/python/core/sparsity/keras/prunable_layer.pyPKٱOG Atensorflow_model_optimization/python/core/sparsity/keras/prune.pyPKٱO=>pJtensorflow_model_optimization/python/core/sparsity/keras/prune_registry.pyPKٱO.T"\M\tensorflow_model_optimization/python/core/sparsity/keras/pruning_callbacks.pyPKٱOJ=K :&Htensorflow_model_optimization/python/core/sparsity/keras/pruning_impl.pyPKٱOSK $#L[tensorflow_model_optimization/python/core/sparsity/keras/pruning_schedule.pyPKٱOÄ,MItensorflow_model_optimization/python/core/sparsity/keras/pruning_utils.pyPKٱOY /Ktensorflow_model_optimization/python/core/sparsity/keras/pruning_wrapper.pyPKO`UF@6tensorflow_model_optimization-0.1.3.dist-info/METADATAPKOF_n3~!tensorflow_model_optimization-0.1.3.dist-info/WHEELPKO< ;."tensorflow_model_optimization-0.1.3.dist-info/top_level.txtPKODf-K4"tensorflow_model_optimization-0.1.3.dist-info/RECORDPK(()