lib/torch/ext.bundle in torch-rb-0.1.1 vs lib/torch/ext.bundle in torch-rb-0.1.2

- old
+ new

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HQHNHJHtHQNJH9HDEtHt EtAC[]HH1H9HHHH9PtSHHt yVHPHt zL@H@H9!xu f.HHt yHPHt @@ -216,147 +210,179 @@ HQHH9HDHAHH@AHPHHtHJHqHpHqH9tHFHHHHHAH9HDHHH1L HG[]@[]HPHt zA@HQHHtHBHPHQHP1H9@H HAHHHPHAHI@[]Ht ytJHPB@H HHHtHAHHHJHH1H9@HHHPHHHBHR HHPHHZBHHHH HtHQHJHHHJ1H9@HHPHB[]HHHHH YAHAHHQHtHJHQHPHQ1H9 -@HHHA[]fDUHAWAVATSIH{H3Hu -HSH0L`HHIH;*HItgL54I^HMfL9{ v-f.HL9{ vHIHus LcHCHuI<$oH=XtH5HFHFHFHH=HH=L5I^HLI^II<$uG(Lx H@HHXI$IH HtII$I~HBIF[A\A^A_]IL:L: UHSPHHH[]2@UHAVSH0HLuLL^HH0[A^]fUHAWAVAUATSHIHuHNH=HH9uLLHHEH@HL=YAL-?I]ADLPMuL9-f.fH{ HEHpMAt"HCHHtifIH HusL[tIEIEMuH=LHL+HCHHufL{I9LtTHKH LyI9HIuHtf.HHHu#HKH9tHCHHHH9H@uI9]uIMIMI}HHLLM9MH]HSH{8%HHMHAHhL=XIL`L5~ILpHxHIHxHE`H}L-@IL`HHHHCHhHCL{Ls HC(HxHK(HC0H{0SLkL%I<$H9t HtHPI$L`L%A<$t H}UHXHHHMHAHEL}LuHEHIHMHE{H}LmH]HuHX - L}A<$t H}HPHHHĈ[A\A]A^A_]H=CH5'HFHFHFHH=yHRcH=H=pIEIEIEIEH=)HLH=4LPMuL9zW)EHEH5H}HOHpH}Ut -HuHUHHuH} Et H}nH5MH} fHEtHuHuHg H5HHwIHIEu3IEtH} EuIEu tIEtkH}`HHIL}A<$tGH}<HeIL`H8tH}t H<IHo LQ  UHAWAVSHxIHBH;GHLMHBHEHsHH]HHHEHEHJHMHEH} HgHHEIHULLIH]H*8t H} LHx[A^A_]H HE()EHund for HHHter founHHH. No casHHHbad castH@HxHH}HxUt -HuHUHHuH}P Et H}  IHuH H5]HL q/IL Eu'TIEtH} Eu :IEt/H} $H?IH]H8t H}Q LC  HUHH%HHHHHGH8t H0 ]HUHSPHHHHHBHHGHK8t H{0 HH[] -Hf.DUHAVSIHHHHIH0HxHHXHf.f1L9q HCH HuHHH9t]L9s wWHSHtfHHHu#HKH9tHSfDHHJH9HRuH9uHHHH,H L[A^]鸾H= -=H5mHFHFHFHH=H| H=D H0HxH덐UHAWAVSHxIHBH;GHLMHBHEHHH]HHHEHEHJHMHEH} HwHHEIHULLIH]H:8t H} LHx[A^A_]H HE()EHund for HHHter founHHH. 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HH0[A^]fUHAVSH@H.,H8t H@[A^]W)EHEH54 -H}CH51.H}<Ut -HuHUHHuH}qCEt H}DH5 H}LCDHEtHuHuHCH5b-H,H%D IHCEt>IEuEu/LA H}CEtIEt IEtH}uCLWA f.UHAWAVAUATSHHHuHNH=*HH9GHH(HEH@HCL=&A1L-.I]AqMuL9)H{ HEHp$MAt"HCHHtifIH HusLBtIEIEMuH=+LHbsBLBHCHHufL{I9LtTHKH LyI9HIuHtf.HHHu#HKH9tHCHHHH9H@uI9]uIMIMI}H)HALM9MH]H,H68AHHMHAH8L=+IL0L5+IL@HHHIHHHP6HPBL-+IL0H+HHHCH8HCL{Ls HC(HHHK(HC0n6H{0ALkL%r(I<$H9t HtHPI$L0H F8t HPAHpHMHAHELxLuHEHIHMHE5H}:ALxM$$HEHEL}LuHEHMHMHE5H}ALmLeLuHpHXHIIL9s v,f.HL9s vHIHubf.s LkHCHuI}tLL}HE;H}{@Lx;H}b@HHII}u0X?Lp L`(H@HHXIEHpH +@HHHA[]fDUHAWAVATSIHIH3Hu +HNH0LH)MHIH;*HiEtgL5MI^HMfL9{ v-f.HL9{ vHIHus LcHCHuI<$oH=DOtH5%MHFHFHFHH=wJHTyOH=DOL5LI^HLI^II<$uG(/OLx H@HHXI$IH HtII$I~HBIF[A\A^A_]ILLL UHSPHHH[]N@UHAVSH0HLuLL^HH0[A^]fUHAWAVAUATSHIHuHNH=GHH9uLLHHEH@HOL=yCAL-KI]ADLPMuL9-f.fH{ HEHp/MAt"HCHHtifIH HusLMtIEIEMuH=HLHRMLMHCHHufL{I9LtTHKH LyI9HIuHtf.HHHu#HKH9tHCHHHH9H@uI9]uIMIMI}HHLLM9MH]HSH{8LHHMHAHhL=HIL`L5HILpHxHIHxHEAH}/ML-HIL`HHHHHCHhHCL{Ls HC(HxHK(HC0AH{0LLkL%EI<$H9t HtHPI$L`L%RcA<$t H}LHXH7EHHMHAHEL}LuHEHIHMHE@H}JLLmH]HuHX + L}A<$t H}$LHPHHHĈ[A\A]A^A_]H=c@FKH5HHFHFHFHH=EHrOJH=@KH= @JIEIEIEIEH=EH"OLJH=?JLPMuL9zW)EHEH5H}IHEHpH}BUt +HuHUHHuH}CIEt H}IH5H}IIHEtHuHuHHH5EHMDHIIHIEu3IEtH}vIEuIEu tIEtkH}`HHIL}A<$tGH}J<HIL`H`8tH}I H̛IHHLF UHAWAVSHxIHBH;GHLMHBHEHDHH]HEHHEHEHJHMHE>H}VIHDHHEIHULLIH]H_8t H}"ILHx[A^A_]H HHE()EHund for HHHter founHHH. No casHHHbad castH@HxHH}Hx:Ut +HuHUHHuH}FEt H}{GGIHuHFH5BHALGq/ILsGEu'TIEtH}#GEu :IEt/H}G$HϙIH]H^8t H}GLD H衙UHHCHHHBHHGH@^8t H0G]H`UHSPHHHCHHHBHHGH]8t H{0CGHH[]EFHf.DUHAVSIHCHHHi;HCHxHHXHf.f1L9q HCH HuHHH9t]L9s wWHSHtfHHHu#HKH9tHSfDHHJH9HRuH9uHHHH,HbEL[A^]8H=:E=H5BHFHFHFHH='@HI)EH=d:MEHBHxH덐UHAWAVSHxIHBH;GHLMHBHEH@HH]HAHHEHEHJHMHE:H}fEH@HHEIHULLIH]H[8t H}2ELHx[A^A_]H ,DHE()EHund for HHHter founHHH. No casHHHbad castH@HxH/H}Hx7Ut +HuHUHHuH}BEt H}CCIHuHBH5>H>LCq/ILCEu'TIEtH}3CEu :IEt/H}C$HߕIH]HZ8t H}CL@ H豕UHH?HHH>HHGHPZ8t H0C]HpUHSPHH@?HHH>HHGH Z8t H{0SCHH[]UBHf.DUHAWAVSPHI0*BIHSHP HC(IG(IFHtcINHp H9s-f.HHp H9sH0HHu4H9s HHHpHuHHtLA1IJIFHHHuIGIIGL9IHHtIH1LI~IFLH[A^A_]f.DUHAVSIH>HHHa6H>HxHHXHf.f1L9q HCH HuHHH9t]L9s wWHSHtfHHHu#HKH9tHSfDHHJH9HRuH9uHHHH<Hr@L[A^]HH=5@=H5=HFHFHFHH=;HD9@H=\5]@H=HxH덐UHHHHH]r@f.UHSPHHGHOH8H1HCHHC HHC(H[]fUHSPHHGH8HCH0HCHHC HC(L@HC0H[]fUH]f.UHHtH]`]f.@UHAVSH@IHHFHGH0;HHHFHEHEHEHr6HEHEHEHEHEH=5Hu>;HEHCH}I~HuK5H}B H@[A^]HH}- Hm< HH`< HHS< fUH] fDUHAVSIH >HC I[A^]UHSPHHGHOH8H1HCH[]UHAWAVATSIHK7H3Hu +Hc<H0LpH:HIH;*H2tgL5;I^HMfL9{ v-f.HL9{ vHIHus LcHCHuI<$oH=u2h=tH5:HFHFHFHH=7HA =H=42-=L5h:I^HLI^II<$uG(<Lx H@HHXI$IH HtII$I~HIF[A\A^A_]ILJLJ: UHSPH HH[]B<@UHGH5H]f.UHAVSH0HLuLVL HH0[A^]fUHAVSH@HN5H8t H@[A^]W)EHEH5IH}:H5Q7H}4Ut +HuHUHHuH}:Et H}l;H5H}:d;HEtHuHuHe:H56H5Hu; IHJ;Et>IEuEu/L8 H}:EtIEt IEtH}:L8 f.UHAWAVAUATSHIHuHNH=3HH9uLLHHEH@H@;L=/AL-7I]ADLPMuL9-f.fH{ HEHpMAt"HCHHtifIH HusL :tIEIEMuH=4LHB>9L9HCHHufL{I9LtTHKH LyI9HIuHtf.HHHu#HKH9tHCHHHH9H@uI9]uIMIMI}HH8LM9MH]HH88HHMHAHhL=4IL`L55ILpHxHIHxHE.H}_9L-4IL`H5HHHCHhHCL{Ls HC(HxHK(HC0-H{09LkL%1I<$H9t HtHPI$L`L%OA<$t H}8HXH?1HHMHAHEL}LuHEHIHMHE+-H}z8LmH]HuHX:L}A<$t H}T8HPHgHHĈ[A\A]A^A_]H=,v7H54HFHFHFHH=2H;7H=>,77H=-, 7IEIEIEIEH=1HR;L6H=+6LPMuL9zW)EHEH5 H}5H52H}.Ut +HuHUHHuH}w5Et H}"6H5 H}R56HEtHuHuH5H5P1H0H+6IH5Eu3IEtH}5EuIEu tIEtkH}`HRHJIL}A<$tGH}Q6<H)IL`HL8tH}(6 HIH#5L3 f.UHAWAVSHxIHBH;GHLMHBHEH 1HH]H41HHEHEHJHMHE7*H}5H0HHEIHULLIH]H +L8t H}R5LHx[A^A_]H L4HE()EHund for HHHter founHHH. 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Q?U?E@E@UAEAEA EAOAEAEB OBPBEBECPCECEDEDEDEDEQQUVUVVVV6VWWWWWW "))5FzA- ss- ss3  ss- ss- ss)5FzA)EEY ") ") ':3  jsBWv!! ,1>WX  !  H y @@ -400,30 +426,37 @@ - 6}r m X  N + , @5,zz ,   ) 2}r  x \ N + , 99. I   ( 1}r u k V + , 9 QG   A }r! z  ^ 1 /  9   QG   F }r q I F + , @5,ww ,   ) 2}r q I F + , @5,ww ,  }s.  u  Y + ,  @ 9. 8   0 9}r n I F + , @5,ww ,  }rn E C + , @5+oo (   -$ -}r n I F + , @5,ww ,  9999- jsF5{"!! +$ -}r n I F + , @5,ww ,  9999. |FA"!! +,4Ge8 < $ $ 5%, +4H    $    $  +  +5 + + +GE;== cfg -?7TI}LYY}} +,1>W- jsF5{"!! ,4Ab2 d9 $ 5, 4H  $  7   ,    -LA89 a   } 4) Q 34E}  /\ ) Q 3E;== cfg -?7TI}LYY}} -,1>W- jsE]"!! +LA89 a   } 4) Q 34E}  /\ ) Q 3- jsE]"!! ,1>Wqf0 k0 5# 4H 5@- js- js- js- jsFe"!! ,1>WT- jsFb"!! ,4AZ5 f < $ 55, 4H  $    5   ;   , -    T- js- jsF9"!! +    T- js- js- jsF9"!! ,4Ab8 u  <   $  $  ; D ',  4G   @@ -438,31 +471,36 @@  $    -k   F     E4- js- us- js- os- js- os- js- os- os- js- js11- psJ"!! -,4A]=2I!j j{F#i"!! +k   F     E4- js- us- js- os- js- os- js- os- os- js- jsF#i"!! +,4AZ- js- js- os<1- psJ"!! +,4A]- vyJ"!! +,4J]=2I!j j{F#i"!! ,4AZ? | <   $  $  ; D'/  4G    $    -$    ;   P   D     ]5-dT6,IAs BYQkk~  5ZZ7 - yyF#i"!! -,4AZ ': ") ':BWv!! +$    ;   P   D     ]5-dT6,IAs BYQkk~  5ZZ7 - yy ': ") ':BWv!! ,1>Wqf+ f0 5  4H 5@]] i->WTuu R>/ss 1>WT- ssBWv!! ,1>W- ss- ||F&l"!! -,4AZ -1>W! e9]<G,4ccmm ->/- yy- ssC6y!! +,4AZ. F8~"!! +,4AZ +1>W! e9]<G,4%9 +6 ?mm +>/1( +zEL{cc- yy- ssC6y!! ,1>W- ss- yyC\{!! ,1>W- yy -Sg  0  ;        0   , +Sg- yyE]"!! +,1>W  0  ;        0   , U   [   "M Hl"M Hl"M Hl"M @@ -473,13 +511,12 @@ GN RDIPzPzPz- yyC_~!! ,1>W0 }9 $ 5) 4H  $  5 @E=++ :S z}5Tl,)Xw O>7UK// F\ tZ6yy "gl  AH  9ncR\    ,) [[8NN Z5*.3e -Q?R5 ':1( -zEL{5,0#$G1&0u^$U%&&X[L,%++[^L,0 -XA^J1'^f j! h2T5,af  " " " O}}}}}}}LPxT`|*>>h VRj { +Q?R5 ':5,0#$G1&0u^$U%&&X[L,%++[^L,0 +XA^J1'^f j! h2T5,af  " " " O}}}}}}}\`dp*>>h VRj { B [+0@j f}r  < P  @@ -522,14 +559,14 @@   QI f  f 18 6I0 XAIe 2 |w -  " " " O}}}}}}},0dX4@\e0 +  " " " O}}}}}}}<@thDPle0 XAIe 2   -   " " " O}}}}}}}̡YQx    ,&XX )/       +0@j f +   " " " O}}}}}}}Ȯ̮ЮܮYQx    ,&XX )/       +0@j f [}r  < P   @@ -541,13 +578,13 @@    QI f  f 18 6I0 XAIe -2 |!y   " " " O}}}}}}}<@thDPl0 +2 |!y   " " " O}}}}}}}LPxT`|0 XAIe -;- -                 '!  " " " O}}}}}}}МĜȜYQx    ,&XX )/       +0@j f +;- -                 '!  " " " O}}}}}}}ԩةYQx    ,&XX )/       +0@j f [}r  < P   @@ -565,44 +602,44 @@  C   d     -   n   O   !      "  " " " O}}}}}}} TH$0Lp!$.0 +   n   O   !      "  " " " O}}}}}}},0dX4@\p!$.0 XAIe  ;            v     u   -'   !            "   "   "   O}}}}}}}@DxlHTp0 +'   !            "   "   "   O}}}}}}}PT|Xd0 XAIe ;" @  E"     -C     j    }O!"  " " " O}}}}}}}|0 +C     j    }O!"  " " " O}}}}}}}ġ0 XAIe ;- -        -           '!  " " " O}}}}}}}ؒܒ0 +           '!  " " " O}}}}}}} 0 XAIe ;99  -       '!  " " " O}}}}}}}(,`T0<X0 +       '!  " " " O}}}}}}}8<pd@Lh0 XAIe ;- -     7  E  -    C     d  \*!"  " " " O}}}}}}}X\`l0 +    C     d  \*!"  " " " O}}}}}}}hlp|0 XAIe ;    lu '   !          "  -"  "    O  }}}}}}}̍Ѝԍ0 +"  "    O  }}}}}}}ܚ 0 XAIe 2     Zu'!    @@ -612,11 +649,11 @@  "  "  "    O  -}}}}}}}LPxT`|0 +}}}}}}}\`dp0 XAIe  ;          g  u   '  @@ -625,62 +662,66 @@      -    "  "  "    O  }}}}}}}ĊȊԊ0 +    "  "  "    O  }}}}}}}Зԗؗ0 XAIe 5      du'!        "  "  " -    O  }}}}}}}48l`<Hd0 +    O  }}}}}}}DH|pLXt0 XAIe 5      _u'!         "  "  -"    O  }}}}}}}ԇ؇0 +"    O  }}}}}}}̔0 XAIe ;    bu '   !          " - "  "    O  }}}}}}} TH$0L0 + "  "    O  }}}}}}},0dX4@\0 XAIe  ;               k    u   ' -  !            "   "   "     O}}}}}}}0 +  !            "   "   "     O}}}}}}}̑đ0 XAIe  ;       7  ?   @ d        -   *   !      "      "   " " O}}}}}}}̂ЂԂ0 +   *   !      "      "   " " O}}}}}}}܏ 0 XAIe +;9 9    r  6 *  + +     u9*     Y*!"  " " " O}}}}}}}܍ 0 +XAIe  ;             B     @@ -688,84 +729,123 @@          -      '   !  " " " O}}}}}}}<0 40 +      '   !  " " " O}}}}}}}L@(D0 XAIe ; "  6   E"    9      d  -      wO!"  " " " O}}}}}}}LPxT`|7 +      wO!"  " " " O}}}}}}}\`dp7 bAMd -2 Cg R  " " " O}}}}}}}~~L~@~~(~D~7 +2 Cg R  " " " O}}}}}}}$(\P,8T7 bAMd -2 Cg  R  " " " O}}}}}}}||}}|| }7 +2 Cg  R  " " " O}}}}}}}$7 bAMd -2 Cg ,V  " " " O}}}}}}}{{{{{{{0 +2 Cg ,V  " " " O}}}}}}}Ȇ0 XAIe + +; + +      q   u + + +' + + +! + + +        "  "  "    O}}}}}}} TH$0L0 +XAIe +;* *        +  +            '!  " " " O}}}}}}}lpt0 +XAIe 5    Zu'!        "  "  "  -  O  }}}}}}}$z(z\zPz,z8zTz0 +  O  }}}}}}}$0 XAIe 2(  -   " " " O}}}}}}}xx yyxxy0 +   " " " O}}}}}}}ԀȀ̀0 XAIe -2 - 0   " " " O}}}}}}}|wwwwwww0 +;  +  + + + + + + + "  "  "    + O + +}}}}}}}DH|pLXt0 XAIe +2 - 0   " " " O}}}}}}}}}$~~}~~0 +XAIe +5   & _u'!         " + + +" + + +" +    O  }}}}}}}`|d|||h|t||0 +XAIe ;   '!        "  "  "    O - }}}}}}}vvPvDv v,vHv0 + }}}}}}}z{4{({{{,{0 XAIe -5  +         "  "  "    O  }}}}}}}ttttttt0 +5  +         "  "  "    O  }}}}}}}yyyyyyy0 XAIe -2      " " " O}}}}}}}hslsssps|ss0 +2      " " " O}}}}}}}LxPxxxxTx`x|x0 XAIe -5             "  "  "    O  }}}}}}}rr<r0r rr4r0 +5             "  "  "    O  }}}}}}}vv wwvvw0 XAIe 5    Zu'!        "  "  "  -  O  }}}}}}}pppppppQF::Bn ,m*>>h V'W*5 ,,H1,0 +  O  }}}}}}}huluuupu|uuQF::Bn ,m*>>h V'W*5 ,,H1,0 XAIe -;   " " " O}}}}}}}nnnnnnn0 +;   " " " O}}}}}}}tsxsss|sss0 XAIe ;    o!        "  "  "    O  -}}}}}}},m0mdmXm4m@m\mI> ,o*>>h V0 +}}}}}}}rrHr<rr$r@rI> ,o*>>h V0 XAIe ;    !    !w!         "  "  -"    O  }}}}}}}(k,k`kTk0k<kXk0 +"    O  }}}}}}} ppDp8pp p<p0 XAIe -;  "k!        "  "  "    O  }}}}}}}iijiiij0 +;  "k!        "  "  "    O  }}}}}}}nnnnnnn0 XAIe ;    bu '   !          "  -"  "    O  }}}}}}}DhHh|hphLhXhth0 +"  "    O  }}}}}}}(m,m`mTm0m<mXm0 XAIe  ;       @@ -775,11 +855,11 @@        k     -u   '   !            "   " " O}}}}}}}fffffff} +u   '   !            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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::normScalardoublevalue cannot be converted to type without overflow: int64_ttoTensor/usr/local/include/ATen/core/ivalue_inl.hisTensor() INTERNAL ASSERT FAILED at Expected Tensor but got DoubleIntBoolTupleIntListDoubleListStringTensorListGenericListGenericDictFutureDeviceObjectUninitializedCapsuleInvalidTag()aten::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::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_pool2dmeanaten::mse_lossaten::nll_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100) -> Tensoraten::reshapeaten::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::selectintset_requires_gradset_requires_grad is not implemented for Tensoraten::backward(Tensor self, Tensor? gradient=None, bool keep_graph=False, bool create_graph=False) -> voidtensor does not have a deviceaten::viewaten::add_aten::sub_aten::mul_aten::div_aten::log_softmax(Tensor self, int dim, ScalarType? dtype=None) -> TensorType not supported yetUnsupported typedata_ptr/usr/local/include/ATen/core/TensorMethods.hexpected scalar type Byte 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.)CharShortLongHalfFloatComplexHalfComplexFloatComplexDoubleQInt8QUInt8QInt32BFloat16UNKNOWN_SCALARdataCannot 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 VariablescalarTypeToTypeMetaUnrecognized Scalartype stridedsparseSparse 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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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 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. 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