lib/torch/ext.bundle in torch-rb-0.1.2 vs lib/torch/ext.bundle in torch-rb-0.1.3

- old
+ new

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Eu'Ht!H}1H+EHUH}H+EtHUHUHM1DLWEt H}cVHE{u{t H H9Ku.HEHEHEHEHELmHEHEH}HHuHIHtHyHEPWHUHM1DLSWEt H}ULeHEHEHEHELmHEHEH}HHEP1ɄHEHMH]HHx[A\A]A^A_]64HEuH'%#HEt9H}[UHqUH}u0IHH]UH}u5H1HEHAUH}tHEHx(HPH6UmJU;HHǃuUHXUHUuTTU u-TH nSHHHQHHUUHT몃u0TH ,SHHHQHH#UHTuu0jTH RHHHQHHTHVT@u05TH RHHHQHHTH!T Tu+H RHHHQHHTHSHRH8H5)VTHSHSC>HS72HS+&HSHSH{SHmSHQ HUHSPH#H;tH[]H5LHH=HWRHH[]UHSPHG;tH[]H5PLHH=RH;WRHH[]UHSPHsG;tH[]H5KHH=HV\RHH[]UHSPH+G;tH[]H5KHH=HV RHH[]UHSPHF;tH[]H5JHH=bHKVQHH[]UHSPHsF;tH[]H5JHH=HUlQHH[]UHSPH+F;tH[]H5xJHH=£HUQHH[]UHSH8W)EHEfE*EH5*H}HUPH}OEu EuH8[]H}PEtH}PH8[]HEuEu$HPN H}[PEt HEtH}APH#N UHSPH"H{LHHH[]f.UHSPH!HKLHHH[]f.UHAWAVSHHI"HLHIt(H4tOH tFHt@؃u9؃u-Hu HHHtHHu H[A^A_]ÿ(VOIHKHH NH HEHMuHu[Ht>HuPH~MKu؃uHnM3HmM*HuH~MH]M u H_MHH;3OHH$Hu1LH5rbH3HLN H HLNHJHIHe8t I~ <OH.L H f.fUH]VfDUHSPHHOH{H5E$OHH[]@UHSPHH~HAHHnNHHHH[]f.DUHSPHHBHH,NHHHH[]UHAVSHIHKH0H}H=#JNHEHEEH *LHxHEHEHEHEHEHEHEH=XDHxtIHEHEH]H)IHHEHzd8t H}MLHLHĀ[A^]HHHHHEH9d8t H}MHsJ HQUHH?HtHP]HL@UHSPHHGH8HCHKH0HK HC(H[]ÐUHSPH#A;tH[]H5EHH=rHPKHH[]UHSPH@;tH[]H5PEHH="H;PKHH[]ÐUHSPHBHGHHH[]f.UHSPHrHGHHH[]f.UHHMGHHHb8t -H ]K]fDUH f.UH f.UHAWAVATSHHeHL=?II7H8hH=!KH`L8LH)HhH\JHHHCHCHIHEH?HEHu@HEH]HAHEL}L}LeLeHEHEHEHEH=#AHuRFHEHEH=B JHEH3FHHEHEHEHHHELuLeL}H=@HuE4HEHHpHhHxH}Hp:H]H/dHEHH8H`8tHXJHcHHİ[A\A^A_]HH1EHH8H`8t HXIHF H蔛@Ht UHSPHHwHH[]Hf.UHH?HtHP]HH@UH]f.UHSPHHGHxHCHKH0HQHC H[]f.@UHAVSH@IHHFHGH0DHHHFHEHEHEHj?HEHEHEHEHEH=>Hu.DHEHCH}I~Hu;>H}H@[A^]HH} HCHHPE HHCE fUH] fDUHAVSIH GHC I[A^]UHSPHHGHOH8H1HCH[]UHAWAVATSIHS@H3Hu -HSEH0LHCHIH;*H;tgL5DI^HMfL9{ v-f.HL9{ vHIHus LcHCHuI<$oH=m;XFtH5CHFHFHFHH=@HJEH=,;FL5`CI^HLI^II<$uG(ELx H@HHXI$IH HtII$I~HIF[A\A^A_]IHAHIH\8t I -FLC Hf.UHAVSH H[A^]EIHDLB UHGHp>H]f.UHAVSH0HLuLVL. HH0[A^]fUHAVSH@H>H8t H@[A^]W)EHEH5H}CH5@H}<Ut -HuHUHHuH}qCEt H}DH5H}LCDHEtHuHuHCH5J?H{>H%D IHCEt>IEuEu/LA H}CEtIEt IEtH}uCLWA f.UHAWAVAUATSHHHuHNH=<HH9GHH(HEH@HCL=V8A1L-@I]AqMuL9)H{ HEHp$MAt"HCHHtifIH HusLBtIEIEMuH=l=LHGsBLBHCHHufL{I9LtTHKH LyI9HIuHtf.HHHu#HKH9tHCHHHH9H@uI9]uIMIMI}HHALM9MH]HCHk8AHHMHAH8L==IL0L5=IL@HHHIHHHP6HPBL-=IL0H=HHHCH8HCL{Ls HC(HHHK(HC0n6H{0ALkL%Z:I<$H9t HtHPI$L0H<X8t HPAHpHMHAHELxLuHEHIHMHE5H}:ALxM$$HEHEL}LuHEHMHMHE5H}ALmLeLuHpHXHIIL9s v,f.HL9s vHIHubf.s LkHCHuI}tLL}H7W;H}{@Lx;H}b@HHII}u0X?Lp L`(H@HHXIEHpH +@HHHA[]fDUHAWAVATSIHAH3Hu +HkGH0LPH9EHIH;*H<tgL5EI^HMfL9{ v-f.HL9{ vHIHus LcHCHuI<$oH=;` +tH5MEHFHFHFHH=OBH +H=L;% +L5EI^HLI^II<$uG( Lx H@HHXI$IH HtII$I~HBIF[A\A^A_]IL*L* UHSPHHH[]: @UHAVSH0HLuLL^HH0[A^]fUHAWAVAUATSHIHuHNH=?HH9uLLHHEH@H L=:AL-CI]ADLPMuL9-f.fH{ HEHpMAt"HCHHtifIH HusLctIEIEMuH=\@LH L3HCHHufL{I9LtTHKH LyI9HIuHtf.HHHu#HKH9tHCHHHH9H@uI9]uIMIMI}HHTLM9MH]HSH{8-HHMHAHhL=@IL`L5@ILpHxHIHxHEPH}L-@IL`H@HHHCHhHCL{Ls HC(HxHK(HC0H{0[LkL%0=I<$H9t HtHPI$L`L%^A<$t H} EHXH<HHMHAHEL}LuHEHIHMHEkH}LmH]HuHX + L}A<$t H}HPHHHĈ[A\A]A^A_]H=6H5@HFHFHFHH==HkH=6H=6xIEIEIEIEH=i=HLH=c6<LPMuL9zW)EHEH5H}H=HpH}Ut +HuHUHHuH}Et H}vH5H}nHEtHuHuHoH5<H<HIHQEu3IEtH}EuIEu tIEtkH}`H>H6IL}A<$tGH}<HIL`H,\8tH}| HIHwLA UHAWAVSHxIHBH;GHLMHBHEH<HH]H=HHEHEHJHMHEwH}H<HHEIHULLIH]HZ[8t H}LHx[A^A_]H HE()EHund for HHHter founHHH. No casHHHbad castH@HxHH}HxoUt +HuHUHHuH}XEt H} IHuHH5:H9L(q/ILEu'TIEtH}Eu :IEt/H}$HIH]H Z8t H}YL3 HUHH;HHH:HHGHY8t H0]HUHSPHHP;HHH:HHGH{Y8t H{0HH[]H/f.DUHAVSIH/;HHH2H;HxHHXHf.f1L9q HCH HuHHH9t]L9s wWHSHtfHHHu#HKH9tHSfDHHJH9HRuH9uHHHH,HL[A^]騴H=A1=H5:HFHFHFHH=7H8H=0H:HxH덐UHAWAVSHxIHBH;GHLMHBHEH8HH]H9HHEHEHJHMHEH}H8HHEIHULLIH]HjW8t H}LHx[A^A_]H HE()EHund for HHHter founHHH. No casHHHbad castH@HxHH}HxUt +HuHUHHuH}hEt H}IHuH.H56H5L8q/IL Eu'TIEtH}Eu :IEt/H}$HIH]HV8t H}iLC HUHH7HHH6HHGHU8t H0 ]HUHSPHHH7HHH6HHGHU8t H{0HH[]H?f.DUHAWAVSPHI0IHSHP HC(IG(IFHtcINHp H9s-f.HHp H9sH0HHu4H9s HHHpHuHHtL41IJIFHHHuIGIIGL9IHHtIH1LI~IFLH[A^A_]f.DUHAVSIH'6HHH,H6HxHHXHf.f1L9q HCH HuHHH9t]L9s wWHSHtfHHHu#HKH9tHSfDHHJH9HRuH9uHHHH<HL[A^]鸯H=9,$=H55HFHFHFHH=2HHH=+H5HxH덐UHHHHH]f.UHSPHHGHOH8H1HCHHC HHC(H[]fUHSPHHGH8HCH0HCHHC HC(L@HC0H[]fUH]f.UHHtH]`]f.@UHAVSH@IHHFHGH03HHHFHEHEHEH-HEHEHEHEHEH=,HuHEHCH}I~HuH}B H@[A^]HH}- H HH HH fUH] fDUHAVSIH =HC I[A^]UHSPHHGHOH8H1HCH[]UHAWAVATSIH.H3Hu +H4H0LH2HIH;*H)tgL5D3I^HMfL9{ v-f.HL9{ vHIHus LcHCHuI<$oH= )tH52HFHFHFHH=/HH=(L52I^HLI^II<$uG(GLx H@HHXI$IH HtII$I~HIF[A\A^A_]IL身L UHSPH HH[]@UHGHX-H]f.UHAVSH0HLuLVL HH0[A^]fUHAVSH@H,H8t H@[A^]W)EHEH5mH}H59/H}pUt +HuHUHHuH}IEt H}H5&H}$HEtHuHuHH5r.H-H IHEt>IEuEu/LO H}rEtIEt IEtH}ML f.UHAWAVAUATSHIHuHNH=+HH9uLLHHEH@HL=1&AL-/I]ADLPMuL9-f.fH{ HEHp/MAt"HCHHtifIH HusLtIEIEMuH=|,LH”;LcHCHHufL{I9LtTHKH LyI9HIuHtf.HHHu#HKH9tHCHHHH9H@uI9]uIMIMI}HHLM9MH]HH8]HHMHAHhL=,IL`L5-ILpHxHIHxHEH}L-,IL`H-HHHCHhHCL{Ls HC(HxHK(HC0$H{0LkL%8)I<$H9t HtHPI$L`L%KA<$t H}PuHXH(HHMHAHEL}LuHEHIHMHEH}LmH]HuHX:L}A<$t H}HPHgHHĈ[A\A]A^A_]H=#H5,HFHFHFHH=)H"H="H="IEIEIEIEH=)HґLHH="lLPMuL9zW)EHEH5#H}8H5)H}&Ut +HuHUHHuH}Et H}H5H}HEtHuHuHH5()HQ(HIHEu3IEtH}2EuIEu tIEtkH}`HrHjIL}A<$tGH}<HIIL`H`H8tH} H IHLu f.UHAWAVSHxIHBH;GHLMHBHEH )HH]H4)HHEHEHJHMHEH}H(HHEIHULLIH]HG8t H}LHx[A^A_]H HE()EHund for HHHter founHHH. No casHHHbad castH@HxHH}HxUt +HuHUHHuH}Et H}3;IHuHNH5&H%LXq/IL+Eu'TIEtH}Eu :IEt/H}$HIH]H9F8t H}Lc HUHH'HHH'HHGHE8t H0@]HUHSPHHp'HHH&HHGHE8t H{0HH[]H_f.DUHAVSIHO'HHH!H'HxHHXHf.f1L9q HCH HuHHH9t]L9s wWHSHtfHHHu#HKH9tHSfDHHJH9HRuH9uHHHH\HL[A^]ؠH=aD=H5'HFHFHFHH=$HhH=H&HxH덐UHAWAVAUATSHMIIHxHAHELi@rHHEHEH$HHELmHUHLL&H'HHEHHEHHEHpH<HEL}L}LeLeLmLmHpHEH=Hu-HEH`HS$HHXHhLuHHEEHHEHxHEL}LeLmHXHEH=[HuHĈ[A\A]A^A_]IL IH6L IL fUHAVSIHHHGHwHBHO HG H{#HHGHBHG(HO0BH{0Mt Ls8[A^]ÿ H@H@H@HHC8[A^]IHB8tH{0W HIL$ f.UHAWAVAUATSHXIIA!H +#HHMHEH}HuALmI]8LHKS4 + ʹE΅x Ht2u. Eu'Ht!H}1H6EHUH}HEtHUHUHM1DLEt H}hHE{u{t H H9KuHEHEHuHIHtyAU:HUHM1DLuEt H}Le1HE@AUHHX[A\A]A^A_]0HEu?#!HEt2H}HMu);HHMu)HE1HMtI}(HPH;HHǃukHXtHuNY6 u-4H #HHHQHHH 몃u0H #HHHQHHHuu0H r#HHHQHHQH@u0H M#HHHQHHH hu+H #HHHQHHHOH"H8H5H'HC>H72H+&HHHHHj HUHAWAVAUATSH8IH}H(L-Mu@LLHHHHH@H(HDžL]HEEIEHEHIhL(LLrL%qILHDžHDžHDžHDžDž Awu AHAwHH}HHEHL(LLt H&HH5mHHH(HEH8[A\A]A^A_]HuT1HJXHIH[HHEHL(LLt HHH5HHH(4H fUHAWAVAUATSHMIIHxHAHELi@HHEHEHHHELmHUHLL&HHHEHHEHHEHpHHEL}L}LeLeLmLmHpHEH=NHuHEH`HHHXHhLuHHEEHHEHxHEL}LeLmHXHEH=HuZHĈ[A\A]A^A_]IL IHL IL fUHAVSIHHHGHwHBHO HG HHHGHBHG(HO0H{0IMt Ls8[A^]ÿ MH@H@H@HHC8[A^]IH98tH{0 HgIL f.UHAWAVAUATSHxIIAL-ILmHEHhHuHxHHMHY8LHKS4 + ʹE΅x Ht2u. 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I   ( 1}r u k V + , 9 QG   A }r! z  ^ 1 /  9   QG   F }r q I F + , @5,ww ,   ) 2}r q I F + , @5,ww ,  }s.  u  Y + ,  @ 9. 8   0 9}r n I F + , @5,ww ,  }rn E C + , @5+oo (   @@ -434,11 +580,12 @@   5   GE;== cfg -?7TI}LYY}} -,1>W- jsF5{"!! +,1>W. sF&l"!! +,4AZT- jsF5{"!! ,4Ab2 d9 $ 5, 4H  $  @@ -446,24 +593,25 @@  ,    LA89 a   } 4) Q 34E}  /\ ) Q 3- jsE]"!! ,1>Wqf0 k0 5# -4H 5@- js- js- js- jsFe"!! -,1>WT- jsFb"!! +4H 5@- js1- js- js- js- jsE]"!! +,1>W- jsFe"!! +,1>W- jsFb"!! ,4AZ5 f < $ 55, 4H  $    5   ;   , -    T- js- js- jsF9"!! +    T- js- js- js- js- jsF9"!! ,4Ab8 u  <   $  $  ; D ',  4G   $ -   $   >  M  P   ]- usJk"!! +   $   >  M  P   ]- psJk"!! ,4Ab5 uI < $ $ ;', 4G    $ @@ -471,52 +619,103 @@  $    -k   F     E4- js- us- js- os- js- os- js- os- os- js- jsF#i"!! -,4AZ- js- js- os<1- psJ"!! +k   F     E4- js- ps- js- js- js- js- js- js- js- js- js- jsF#i"!! +,4AZ- psF&l"!! +,4AZ8 < $ $ 5%, +4H + +$ +  + $ +  + 5 + + +G- jsH1- psJ"!! ,4A]- vyJ"!! -,4J]=2I!j j{F#i"!! +,4J]- usF'm"!! +,4AZ= < $ $ 5, +4H + +$ +  + $ +  + 5 + + +@- usC$g!! +,1>W- us- us- us- us3 + {y3 + {y- psF5{"!! +,4AZ? | <   *  *  *  *  A D '/  + + 7 + G + +   *   *   * * APSi=2I!j j{F#i"!! ,4AZ? | <   $  $  ; D'/  4G    $    -$    ;   P   D     ]5-dT6,IAs BYQkk~  5ZZ7 - yy ': ") ':BWv!! +$    ;   P   D     ]=3X!RA7BWv!! ,1>Wqf+ f0 5  -4H 5@]] i->WTuu +4H 5@]] i->WTQQbE:JJ b5TZ,) ll  HH +Q)z + + +b    :  +E +B + "  + J      E   M   L/ +HP_5*TT)Hg<%ee YP +1HQ +- +H   : (9 (A ,A6{{%[%l;}} +1>_IAs BYQkk~  5ZZ7 - yy ': ") ':uu R>/ss -1>WT- ssBWv!! +1>WT- ssC:}!! +,4AZ- ss- ssBWv!! ,1>W- ss- ||F&l"!! ,4AZ. F8~"!! ,4AZ 1>W! e9]<G,4%9 6 ?mm >/1( -zEL{cc- yy- ssC6y!! -,1>W- ss- yyC\{!! -,1>W- yy -Sg- yyE]"!! -,1>W  0  ;        0   , - -U   [   "M +zEL{cc- yy- yyC\{!! +,1>W- ssC2u!! +,1>W- ssC6y!! +,1>W- yyGh!! +,1>W- yyC,o!! +,4AZ- ss- yy- ss- yy- ss- yyC_~!! +,1>W- yyC c!! +,1>W- yy +Sg- yy   ;      /    +/ +  + +  q   "M +Hl- ss"M Hl"M Hl"M Hl"M Hl"M Hl"M Hl"M HlPz, GN RDIPzPzPz- yyC_~!! ,1>W0 }9 $ 5) -4H  $  5 @E=++ :S z}5Tl,)Xw +4H  $  5 @4E=++ :S z}5Tl,)Xw O>7UK// F\ tZ6yy "gl  AH  9ncR\    ,) [[8NN Z5*.3e -Q?R5 ':5,0#$G1&0u^$U%&&X[L,%++[^L,0 -XA^J1'^f j! h2T5,af  " " " O}}}}}}}\`dp*>>h VRj { +Q?R5 ':5,0#$G1&0u^$U%&&X[L,%!!R{UL,%++[^L,c0 +XA^J1'^f j! h2T5,af  " " " O}}}}}}} @48*>>h VRj { B [+0@j f}r  < P  @@ -559,14 +758,14 @@   QI f  f 18 6I0 XAIe 2 |w -  " " " O}}}}}}}<@thDPle0 +  " " " O}}}}}}} e0 XAIe 2   -   " " " O}}}}}}}Ȯ̮ЮܮYQx    ,&XX )/       +0@j f +   " " " O}}}}}}}tx|YQx    ,&XX )/       +0@j f [}r  < P   @@ -578,13 +777,14 @@    QI f  f 18 6I0 XAIe -2 |!y   " " " O}}}}}}}LPxT`|0 +2 |!y   " " " O}}}}}}}0$ (0 XAIe -;- -                 '!  " " " O}}}}}}}ԩةYQx    ,&XX )/       +0@j f +:, ,     +     q  q 0!  " " " O}}}}}}} D8 <YQx    ,&XX )/       +0@j f [}r  < P   @@ -602,44 +802,45 @@  C   d     -   n   O   !      "  " " " O}}}}}}},0dX4@\p!$.0 +   n   O   !      "  " " " O}}}}}}}p!$.0 XAIe  ;            v     u   -'   !            "   "   "   O}}}}}}}PT|Xd0 +'   !            "   "   "   O}}}}}}}0 XAIe -;" @  E"   -  -C     j    }O!"  " " " O}}}}}}}ġ0 +;" "   j +; +  + +   j; j  }O!"  " " " O}}}}}}}0 XAIe -;- -      -  - -           '!  " " " O}}}}}}} 0 +:, ,     +   P  P 0!  " " " O}}}}}}}<0 40 XAIe -;99  -       '!  " " " O}}}}}}}8<pd@Lh0 +>8 8    + +   T  T 0!  " " " O}}}}}}}$(\P,8T0 XAIe ;- -     7  E  -    C     d  \*!"  " " " O}}}}}}}hlp|0 +    C     d  \*!"  " " " O}}}}}}}TX\h0 XAIe ;    lu '   !          "  -"  "    O  }}}}}}}ܚ 0 +"  "    O  }}}}}}}0 XAIe 2     Zu'!    @@ -649,11 +850,11 @@  "  "  "    O  -}}}}}}}\`dp0 +}}}}}}}HLtP\x0 XAIe  ;          g  u   '  @@ -662,66 +863,112 @@      -    "  "  "    O  }}}}}}}Зԗؗ0 +    "  "  "    O  }}}}}}}0 XAIe +;      X@  +`    +]  } + +   {     nnHW!  " " " O2}}}}}}}̿E;  WtYQv   ,&%DvV0 +XAIe + ;   -  -        +                 " " " O}}}}}}}TX\h0 +XAIe 5      du'!        "  "  " -    O  }}}}}}}DH|pLXt0 +    O  }}}}}}}Ȼ̻лܻ0 XAIe 5      _u'!         "  "  -"    O  }}}}}}}̔0 +"    O  }}}}}}}<@thDPl0 XAIe -;    bu '   !       - - - - - -" - - "  "    O  }}}}}}},0dX4@\0 + ;  +   + +  + + + +  ,  + +, + +   v + +   u   '   !            " " " O}}}}}}}иĸȸ0 XAIe  ;               k    u   ' -  !            "   "   "     O}}}}}}}̑đ0 +  !            "   "   "     O}}}}}}}8,00 XAIe  ;       7  ?   @ d        -   *   !      "      "   " " O}}}}}}}܏ 0 +   *   !      "      "   " " O}}}}}}}HLtP\x0 XAIe -;9 9    r  6 *  - -     u9*     Y*!"  " " " O}}}}}}}܍ 0 + +; + +      q   u + + +' + + +! + + +        "  "  "    O}}}}}}}ܳij0 XAIe +;Q Q      +  + + +   x  u9= xu9=       Y3!    "    "  "  "    O!!}}}}}}}tx|0 +XAIe + +; +  + +   +     b    + u +  +' +  +!            "   "   "    O}}}}}}} 0 +XAIe +;3 3      + +        v '!  " " " O}}}}}}}PT|Xd0 +XAIe  ;             B     @@ -729,54 +976,54 @@          -      '   !  " " " O}}}}}}}L@(D0 +      '   !  " " " O}}}}}}}0 XAIe +;     " " " O}}}}}}}04h\8D`0 +XAIe +; "   @  E"       C +  +  +  +d     *!"  " " " O}}}}}}}lpt0 +XAIe ; "  6   E"    9      d  -      wO!"  " " " O}}}}}}}\`dp7 +      wO!"  " " " O}}}}}}}ȧ7 bAMd -2 Cg R  " " " O}}}}}}}$(\P,8T7 +2 Cg R  " " " O}}}}}}}|7 bAMd -2 Cg  R  " " " O}}}}}}}$7 +2 Cg  R  " " " O}}}}}}}DH|pLXt7 bAMd -2 Cg ,V  " " " O}}}}}}}Ȇ0 +2 Cg ,V  " " " O}}}}}}} D8 <7 +bAMd +;]~    Zw'!  " " " O}}}}}}}Ȣ0 XAIe - -; - -      q   u - - -' - - -! - - -        "  "  "    O}}}}}}} TH$0L0 +;- -     +  +3    / 0!  " " " O}}}}}}}0$ (0 XAIe ;* *          -            '!  " " " O}}}}}}}lpt0 +            '!  " " " O}}}}}}}HLtP\x0 XAIe 5    Zu'!        "  "  "  -  O  }}}}}}}$0 +  O  }}}}}}}ȝ̝Нܝ0 XAIe 2(  -   " " " O}}}}}}}ԀȀ̀0 +   " " " O}}}}}}}x|0 XAIe ;  +     @@ -784,82 +1031,101 @@    "  "  "    O  -}}}}}}}DH|pLXt0 +}}}}}}} $XL(4P0 XAIe -2 - 0   " " " O}}}}}}}}}$~~}~~0 +2 - 0   " " " O}}}}}}}ș̙Йܙ0 XAIe 5   & _u'!         "  "  " -    O  }}}}}}}`|d|||h|t||0 +    O  }}}}}}}<@thDPl0 XAIe ;   '!        "  "  "    O - }}}}}}}z{4{({{{,{0 + }}}}}}}ؖܖ0 XAIe -5  +         "  "  "    O  }}}}}}}yyyyyyy0 +;               /  +  +  +/          u'!  " " " O}}}}}}}(,`T0<X0 XAIe -2      " " " O}}}}}}}LxPxxxxTx`x|x0 + ;  +   + + +  +  + +   +    k + + +  +u   '   !            "   " " O}}}}}}}ȓ0 XAIe -5             "  "  "    O  }}}}}}}vv wwvvw0 +2      " " " O}}}}}}}8<pd@Lh0 XAIe +5             "  "  "    O  }}}}}}}Ԑؐ ܐ0 +XAIe +;  *  *                    v     '!  " " " O}}}}}}}04h\8D`YQx    ,&XX )/       +0@j f +[}r  +< +P + + + +  +    + q + + + + +QI f  f 18 6I0 +XAIe 5    Zu'!        "  "  "  -  O  }}}}}}}huluuupu|uuQF::Bn ,m*>>h V'W*5 ,,H1,0 +  O  }}}}}}}QF::Bn ,m*>>h V'W*5 ,,H1,0 XAIe -;   " " " O}}}}}}}tsxsss|sss0 +;   " " " O}}}}}}}ȉ0 XAIe ;    o!        "  "  "    O  -}}}}}}}rrHr<rr$r@rI> ,o*>>h V0 +}}}}}}},0dX4@\I> ,o*>>h V0 XAIe ;    !    !w!         "  "  -"    O  }}}}}}} ppDp8pp p<p0 +"    O  }}}}}}}(,`T0<X0 XAIe -;  "k!        "  "  "    O  }}}}}}}nnnnnnn0 +;  "k!        "  "  "    O  }}}}}}}ЄԄ؄0 XAIe ;    bu '   !          "  -"  "    O  }}}}}}}(m,m`mTm0m<mXm0 -XAIe - ;  -   - - -  -  - -   -    k - - -  -u   '   !            "   " " O}}}}}}}kkkkkkk} +"  "    O  }}}}}}}DH|pLXt} i  < P   @@ -897,14 +1163,31 @@  "  "  "    O  -}}}}}}}gghhgghYQx    ,&XX )/       0 +}}}}}}}YQx    ,&XX )/       0 XAIe 2   -   " " " O}}}}}}}eeeeeee "6 q?x)!0!$$X|l  +   " " " O}}}}}}}@}D}x}l}H}T}p}  ;((0 +XAIe +;    '!        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This usually means that this function requires a non-empty list of Tensors. Available functions are Expected false to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Didn't find kernel to dispatch to for operator ''. Tried to look up kernel for dispatch key ''. Registered dispatch keys are: allocator<T>::allocate(size_t n) 'n' exceeds maximum supported size, CATCH-ALL[, ]callUnboxed/usr/local/include/ATen/core/boxing/KernelFunction.hboxed_kernel_func_ != nullptr INTERNAL ASSERT FAILED at :, please report a bug to PyTorch. Tried to call KernelFunction::callUnboxed() on an uninitialized KernelFunction.callstack.size() == 1 INTERNAL ASSERT FAILED at A boxed kernel should only push one return to the stackretain_/usr/local/include/c10/util/intrusive_ptr.hnew_refcount != 1 INTERNAL ASSERT FAILED at intrusive_ptr: Cannot increase refcount after it reached zero.reclaimowning_ptr == NullType::singleton() || owning_ptr->refcount_.load() > 0 INTERNAL ASSERT FAILED at intrusive_ptr: Can only intrusive_ptr::reclaim() owning pointers that were created using intrusive_ptr::release().toBool/usr/local/include/ATen/core/ivalue.hisBool() INTERNAL ASSERT FAILED at defaultGenerator/usr/local/include/ATen/Context.h device type not enabled.validate/usr/local/include/c10/core/Device.hDevice index must be -1 or non-negative, got Expected index_ == -1 || index_ >= 0 to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)CPU device index must be -1 or zero, got Expected !is_cpu() || index_ <= 0 to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)aten::arangestartendstepoptionsinsertNode/usr/local/include/torch/csrc/jit/ir.hinsert_before_->inBlockList() && "insert point node is no longer in a block list" INTERNAL ASSERT FAILED at inBlockListprev() == nullptr INTERNAL ASSERT FAILED at aten::arange.start_step(Scalar start, Scalar end, Scalar step, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> TensortensorTypeIdToBackend/usr/local/include/c10/core/Backend.hUnrecognized tensor type ID: backendToDeviceTypeUndefined backend is not a valid device typeUnknown backendcomputeTensorTypeId/usr/local/include/c10/core/TensorOptions.hUnsupported device type for dense layout: Unsupported device type for sparse layout: Unsupported device type for mkldnn layout: Unsupported layout: typeMetaToScalarType/usr/local/include/c10/core/ScalarType.hUnsupported TypeMeta in ATen: (please report this error)StridedSparseMkldnnoperator<</usr/local/include/c10/core/Layout.hUnknown layoutgetOpTable/usr/local/include/ATen/core/ATenDispatch.hNo functions are registered for schema Expected iter != op_tables_.end() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)make_variable/usr/local/include/torch/csrc/autograd/variable.hMust not create a new variable from a variable, use its .tensor_data()TensorImpl with nullptr is not supported~intrusive_ptr_targetrefcount_.load() == 0 INTERNAL ASSERT FAILED at Tried to destruct an intrusive_ptr_target that still has intrusive_ptr to itweakcount_.load() == 0 INTERNAL ASSERT FAILED at Tried to destruct an intrusive_ptr_target that still has weak_intrusive_ptr to itaten::emptysizememory_formataten::empty.memory_format(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensoraten::eyenmaten::eye.m(int n, int m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::fullfill_valueaten::full(int[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::linspacestepsaten::linspace(Scalar start, Scalar end, int steps=100, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::logspacebaseaten::logspace(Scalar start, Scalar end, int steps=100, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::onesaten::ones(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randaten::rand(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randintlowhighaten::randint.low(int low, int high, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randnaten::randn(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randpermaten::randperm(int n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::zerosaten::zeros(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::mean(Tensor self, *, ScalarType? dtype=None) -> Tensoraten::mean.dim(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensoraten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensoraten::sum.dim_IntList(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensoraten::argmaxtoTensor/usr/local/include/ATen/core/ivalue_inl.hisTensor() INTERNAL ASSERT FAILED at Expected Tensor but got DoubleIntBoolTupleIntListDoubleListStringTensorListGenericListGenericDictFutureDeviceObjectUninitializedCapsuleInvalidTag()aten::normScalardoublevalue cannot be converted to type without overflow: int64_taten::minaten::maxaten::expaten::logaten::unsqueezecallUnboxedOnlyfalse INTERNAL ASSERT FAILED at Tried to call KernelFunction::callUnboxedOnly() for a kernel that doesn't have an unboxed version.aten::dotaten::matmulaten::addaten::add.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)aten::subaten::mulaten::divaten::remainderaten::powTensor_Scalaraten::negaten::reshapeaten::reluaten::preluaten::leaky_reluaten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] dilation=1, int groups=1) -> Tensoraten::linear(Tensor input, Tensor weight, Tensor? bias=None) -> Tensoraten::max_pool2daten::avg_pool2dmeanaten::mse_lossaten::nll_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100) -> Tensoraten::is_distributedaten::is_complexaten::is_signedaten::numeltoIntisInt() INTERNAL ASSERT FAILED at itemsize/usr/local/include/c10/core/TensorImpl.hCannot report itemsize of Tensor that doesn't have initialized dtype (e.g., caffe2::Tensor x(CPU), prior to calling mutable_data<T>() on x)autograd_meta() INTERNAL ASSERT FAILED at requires_grad is not implemented for Tensoraten::zero_aten::detach_aten::selectintaten::sliceset_requires_gradset_requires_grad is not implemented for Tensoraten::backward(Tensor self, Tensor? gradient=None, bool keep_graph=False, bool create_graph=False) -> voidaten::to.dtype_layout(Tensor self, *, ScalarType dtype, Layout layout, Device device, bool pin_memory=False, bool non_blocking=False, bool copy=False) -> Tensortensor does not have a devicescalarTypeToTypeMetaUnrecognized Scalartype ByteCharShortLongHalfFloatComplexHalfComplexFloatComplexDoubleQInt8QUInt8QInt32BFloat16UNKNOWN_SCALARaten::viewaten::add_aten::sub_aten::mul_aten::div_aten::log_softmax(Tensor self, int dim, ScalarType? dtype=None) -> Tensoraten::dataType not supported yetUnsupported typedata_ptr/usr/local/include/ATen/core/TensorMethods.hexpected scalar type but found Expected scalar_type() == ScalarType::Byte to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Cannot access data pointer of Tensor that doesn't have storageCannot access data pointer of Tensor that doesn't have initialized dtype (e.g., caffe2::Tensor x(CPU), prior to calling mutable_data<T>() on x)Expected scalar_type() == ScalarType::Char to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Short to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Int to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Long to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Float to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Double to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)aten::sizeas_variable_refAttempted to cast a Tensor to a Variable, but the dynamic type of the value is not Variable.VariableTensor that was converted to Variable was not actually a VariablestridedsparseSparse layout not supported yetcpucudaUnsupported device: unknown C++ exception thrownData type is not bound is already bound to a different typebad cast. No caster found for is unboundUnable to convert to indexClass is not registered/bound in Rice0initializeExpected a Class but got a %snew__rice_casters__messageExpected a Module but got a %s<=>to_sinspect==<>wrong argument type %s (expected %s)Cannot get method id and class for function__rice__ HLXQ!Q QaQQ!QaX@,dI,p,p= = > A PC< Et @H J 0L@M4MDMT`NdPpQ SY@\\@dxe ghl q(r<tXy{p}$0XtpЇ0,PHp|pp$@@`4Э8T@0Lh 8pp\`P0h <@T0 (0|0@ $L&+P-@`.X34 09 : ; P@`!A!B!C!D!@F!0I" J<"PLd"Q#PTd#V#X#]#@_#a$pb0$dX$i%kH%mx%Pq%s%u&v4&@x\&@|&@~'@8'@l'p'@''`(8(PX( (D) x)P))*(*+`H+h++ `,pt,,@,p-D-x-@--.@H.@|..`.. ,/@`//0/@//`0`80@l00001P<1P 2@X22343D3T3`d3 33 4@4\4x4p -4 4`4 505Pd5555646\6!|6@"6#6`%6P&6' 7*@7 -\72x74777P:80;$8 =L8?8pB8@C8D8G09 I@9Kt9`L9M9Ux:W:@Z:\:^;0a@;ch;e;@h;k;n;p<0s0<ud<v<`x< }D=~= =>p>>Љ?8? 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optional accessIssued LeftRight::read() after the destructor started runninglookup_/usr/local/include/ATen/core/dispatch/DispatchTable.hThere were no tensor arguments to this function (e.g., you passed an empty list of Tensors), but no fallback function is registered for schema . This usually means that this function requires a non-empty list of Tensors. Available functions are Expected false to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Didn't find kernel to dispatch to for operator ''. Tried to look up kernel for dispatch key ''. Registered dispatch keys are: allocator<T>::allocate(size_t n) 'n' exceeds maximum supported size, CATCH-ALL[, ]callUnboxed/usr/local/include/ATen/core/boxing/KernelFunction.hboxed_kernel_func_ != nullptr INTERNAL ASSERT FAILED at :, please report a bug to PyTorch. Tried to call KernelFunction::callUnboxed() on an uninitialized KernelFunction.callstack.size() == 1 INTERNAL ASSERT FAILED at A boxed kernel should only push one return to the stackretain_/usr/local/include/c10/util/intrusive_ptr.hnew_refcount != 1 INTERNAL ASSERT FAILED at intrusive_ptr: Cannot increase refcount after it reached zero.reclaimowning_ptr == NullType::singleton() || owning_ptr->refcount_.load() > 0 INTERNAL ASSERT FAILED at intrusive_ptr: Can only intrusive_ptr::reclaim() owning pointers that were created using intrusive_ptr::release().toBool/usr/local/include/ATen/core/ivalue.hisBool() INTERNAL ASSERT FAILED at defaultGenerator/usr/local/include/ATen/Context.h device type not enabled.validate/usr/local/include/c10/core/Device.hDevice index must be -1 or non-negative, got Expected index_ == -1 || index_ >= 0 to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)CPU device index must be -1 or zero, got Expected !is_cpu() || index_ <= 0 to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)aten::arangestartendstepoptionsinsertNode/usr/local/include/torch/csrc/jit/ir.hinsert_before_->inBlockList() && "insert point node is no longer in a block list" INTERNAL ASSERT FAILED at inBlockListprev() == nullptr INTERNAL ASSERT FAILED at aten::arange.start_step(Scalar start, Scalar end, Scalar step, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> TensortensorTypeIdToBackend/usr/local/include/c10/core/Backend.hUnrecognized tensor type ID: backendToDeviceTypeUndefined backend is not a valid device typeUnknown backendcomputeTensorTypeId/usr/local/include/c10/core/TensorOptions.hUnsupported device type for dense layout: Unsupported device type for sparse layout: Unsupported device type for mkldnn layout: Unsupported layout: typeMetaToScalarType/usr/local/include/c10/core/ScalarType.hUnsupported TypeMeta in ATen: (please report this error)StridedSparseMkldnnoperator<</usr/local/include/c10/core/Layout.hUnknown layoutgetOpTable/usr/local/include/ATen/core/ATenDispatch.hNo functions are registered for schema Expected iter != op_tables_.end() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)make_variable/usr/local/include/torch/csrc/autograd/variable.hMust not create a new variable from a variable, use its .tensor_data()TensorImpl with nullptr is not supported~intrusive_ptr_targetrefcount_.load() == 0 INTERNAL ASSERT FAILED at Tried to destruct an intrusive_ptr_target that still has intrusive_ptr to itweakcount_.load() == 0 INTERNAL ASSERT FAILED at Tried to destruct an intrusive_ptr_target that still has weak_intrusive_ptr to itaten::emptysizememory_formataten::empty.memory_format(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensoraten::eyenmaten::eye.m(int n, int m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::fullfill_valueaten::full(int[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::linspacestepsaten::linspace(Scalar start, Scalar end, int steps=100, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::logspacebaseaten::logspace(Scalar start, Scalar end, int steps=100, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::onesaten::ones(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randaten::rand(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randintlowhighaten::randint.low(int low, int high, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randnaten::randn(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::randpermaten::randperm(int n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::zerosaten::zeros(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensoraten::mean(Tensor self, *, ScalarType? dtype=None) -> Tensoraten::mean.dim(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensoraten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensoraten::sum.dim_IntList(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensoraten::argmaxtoTensor/usr/local/include/ATen/core/ivalue_inl.hisTensor() INTERNAL ASSERT FAILED at Expected Tensor but got DoubleIntBoolTupleIntListDoubleListStringTensorListGenericListGenericDictFutureObjectUninitializedCapsuleInvalidTag()aten::catcallUnboxedOnlyfalse INTERNAL ASSERT FAILED at Tried to call KernelFunction::callUnboxedOnly() for a kernel that doesn't have an unboxed version.aten::normScalardoublevalue cannot be converted to type without overflow: int64_taten::minaten::maxaten::_max.max(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_indices) -> (Tensor(a!), Tensor(b!))aten::sqrtaten::expaten::logaten::signaten::unsqueezeaten::dotaten::matmulaten::addaten::add.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)aten::subaten::mulaten::divaten::remainderaten::powTensor_Scalaraten::absaten::negaten::reshapeaten::flattenusing_intsaten::reluaten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] dilation=1, int groups=1) -> Tensoraten::linear(Tensor input, Tensor weight, Tensor? bias=None) -> Tensoraten::max_pool2daten::avg_pool2daten::dropoutaten::dropout_aten::feature_dropoutaten::feature_dropout_aten::alpha_dropoutaten::alpha_dropout_aten::feature_alpha_dropoutaten::feature_alpha_dropout_aten::embeddingmeanaten::mse_lossaten::nll_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100) -> Tensoraten::numeltoIntisInt() INTERNAL ASSERT FAILED at from_blob/usr/local/include/ATen/Functions.hSpecified device does not match device of data Expected options.device() == device to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)getDeviceFromPtrStorageImpl/usr/local/include/c10/core/StorageImpl.hallocator_ INTERNAL ASSERT FAILED at For resizable storage, allocator must be providedConstructing a storage with meta of unknown type and non-zero numelaten::set_.source_Storage_storage_offset(Tensor(a!) self, Storage source, int storage_offset, int[] size, int[] stride=[]) -> Tensor(a!)aten::is_distributedaten::is_complexaten::is_signeditemsize/usr/local/include/c10/core/TensorImpl.hCannot report itemsize of Tensor that doesn't have initialized dtype (e.g., caffe2::Tensor x(CPU), prior to calling mutable_data<T>() on x)autograd_meta() INTERNAL ASSERT FAILED at requires_grad is not implemented for Tensoraten::view_asaten::addcmul_aten::addcdiv_aten::zero_aten::detach_aten::selectintaten::sliceset_requires_gradset_requires_grad is not implemented for Tensoraten::backward(Tensor self, Tensor? gradient=None, bool keep_graph=False, bool create_graph=False) -> voidaten::to.dtype_layout(Tensor self, *, ScalarType dtype, Layout layout, Device device, bool pin_memory=False, bool non_blocking=False, bool copy=False) -> Tensortensor does not have a devicescalarTypeToTypeMetaUnrecognized Scalartype ByteCharShortLongHalfFloatComplexHalfComplexFloatComplexDoubleQInt8QUInt8QInt32BFloat16UNKNOWN_SCALARaten::viewaten::resize_as_aten::fill_aten::add_aten::normal_aten::sub_aten::mul_aten::div_aten::sqrt_aten::unsqueeze_aten::copy_aten::cloneaten::log_softmax(Tensor self, int dim, ScalarType? dtype=None) -> Tensoraten::dataUnsupported typedata_ptr/usr/local/include/ATen/core/TensorMethods.hexpected scalar type but found Expected scalar_type() == ScalarType::Byte to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Cannot access data pointer of Tensor that doesn't have storageCannot access data pointer of Tensor that doesn't have initialized dtype (e.g., caffe2::Tensor x(CPU), prior to calling mutable_data<T>() on x)Expected scalar_type() == ScalarType::Char to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Short to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Int to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Long to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Float to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Double to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected scalar_type() == ScalarType::Bool to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)aten::sizeaten::to.device(Tensor self, Device device, ScalarType dtype, bool non_blocking=False, bool copy=False) -> Tensoras_variable_refAttempted to cast a Tensor to a Variable, but the dynamic type of the value is not Variable.VariableTensor that was converted to Variable was not actually a VariablestridedsparseSparse layout not supported yetcpucudaUnsupported device: unknown C++ exception thrownData type is not bound is already bound to a different typebad cast. 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