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Doing nothing.Invalid argument for target number of Gaussians (=No components merged, as target (Not using zero-weight Gaussians in clustering.Not doing clustering phase since lost too many Gaussians due to zero weight. Warning: zero-weight Gaussians are max_i != max_j && max_i != -1 && max_j != -1Preselect size is less or equal to than final size, L7NTv5Xv+Q&&%4DO)*7_o$A+z+N/!Uu5?jz+[?"$4$ &$ >)Lf(f((H@@Us  &  =xTA 2D|=^49]_.    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You can change this code to successfullyRead failure in ReadBasicType, file position is MlEstimatediagGmm::Read, dimension or flags mismatch, Flags in argument do not match the active accumulatorsstatic_cast(i) < static_cast(num_rows_)static_cast(data.Dim()) == Dim()static_cast(posteriors.Dim()) == NumGauss()src_acc.NumGauss() == num_comp_ && src_acc.Dim() == dim_Could not smooth since source acc had zero occupancy.gmm.NumGauss() == num_comp_ && gmm.Dim() == dim_diag_gmm_acc.NumGauss() == gmm->NumGauss() && diag_gmm_acc.Dim() == gmm->Dim()data_.NumRows() == frame_weights_.Dim()dim_ == other.dim_ && num_comp_ == other.num_comp_ && flags_ == other.flags_occupancy_.ApproxEqual(other.occupancy_)mean_accumulator_.ApproxEqual(other.mean_accumulator_)variance_accumulator_.ApproxEqual(other.variance_accumulator_) remove-low-count-gaussians == false: g = it is the last Gaussian: i = diag_gmm_acc.Flags() & kGmmMeansToo little data - removing Gaussian (weight Gaussian has too little data but not removing it becauseW{wLNRwOZ N   v  Z0cB*:W&[Ut$9[iCBY_x ,Lp)1@\ipFex&Uw.$@@<8 @ x  E;   ,--w.s@ 9 |   >8SThread saw average likeliood/frame over (weighted) frames.AWAVAUATUSHHdH%(H$1HODi w BD.oD9DNHLJD9HcL4HW H$d$ L09i DeMcIfl$HD$ HD$QAHH HHD$ T$(HsD$ HT$LYD$ ZXHC HfBZ0XD$D$A9tNB \$ HKID$M9i vIjH H5H=f|$H8)H$dH3%(H[]A\A]A^A_Hl$0AH HHH} H5sH|$PH|$PH5^D$H|$PH|$PH5H|$PD$H|$PH5H|$0HHPHT$PH@@H$HH@HD$XH$H$H9tHH@HD$XH\$0H$HHPHT$PHRH@HDPHH@H$HrHH|$PHSHH(H{H[SHHH@H0u%H{hH{PH{@H[Hw0H(HXSHHH@H0u-H{hH{PH{@HH[Hw0H(HX Write failure in WriteBasicType.SHHT$ dH%(H$1@tJHt$ HHH@D u?H$dH3%(H[Ët$ H5HH\$ A2H HHH{ H5Ht$ H|$HH|$@HSHHfT$ dH%(H$1@tJHt$ HHH@D u@H$dH3%(H[t$ H5HH\$ A2H HHH{ H5Ht$ H|$HH|$@Hvector::_M_realloc_insertAWAVAUATUSHHH4$IHHGH)HHt?L<L9H?I9III)Mt I9v L4$MI)AJ<HItA$AL#MM)M9tLLHNt5HCHL)HL$L9tHH4$LLt$MtLH+LsJDHCH[]A\A]A^A_L4$MI)I?VAssertEqualAccumulateMultiThreadedClassRowoperator()RowDataMapDiagGmmUpdateMleDiagGmmUpdategconstsSmoothWithModelRowSmoothWithAccumAccumulateFromDiagAccumulateFromPosteriorsAddStatsForComponentRowAccumulateForComponentScaleSetZeroResizeWriteBasicTypeWriteBasicTypeReadBasicTypeReadBasicTypeReadN5kaldi15KaldiFatalErrorEN5kaldi28AccumulateMultiThreadedClassENSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi28AccumulateMultiThreadedClassEEEEEEEE@?? #<KKstd\ȫv*. 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T6 gQ TY Xt b| f b g b f b f  ) 1 L T p x      C 0@P ` p  $%&-/2H (}@QHPXp}x#e #B08@H.`.hMpexMT[]z#,/0~8@HP/X[pxjh~p 0 8(@H `(hGp x1* (08)P&X&;`&Eh&s#Ml$$$0 > $$$ ( 0$8$PX`h))PrPr   (!@ H P!X#!p#!xK!m!!K!m!!!!!"3"L"""#0]"8w"@"H#`"h"p#x/#""#/#~####%r))L* +o+0%8r)@ +HW+`%h:&p +x+++%& ++++:&',(F( + + + W+0 :&8 J&@ +H +P +X W+p :&x J& 1+ W+ J& ' ,( 9( ^& & & & & ' ^& & &( &0 &8 'P ^&X x&` 3'h ' ' ,( F( I( ( %) =) G) ( ,( ( ( ( ") ( ,( (( (0 )8 ")P (X (` )h ) ( ( =) G) I( c( \) r) I( c( \) e) %) =) G)( \)@ )H L*P W+X o+p )x ) %* ?* W+ o+ ) ) W+ o+ ) %* ?* L* *  * *( %*@ \*H *P *X  +p 2x 2K 2t 2z 2 2$ 2K 2T 2j 2t 2  2 2T 2j2z2 2Y(2c02z82P@Hd m>h@0d"8>!@ Hd$sZ>n@h d&?2?'2@A QRR@hHdB(S' `(S[@HdE@Ss S@HdHS(@@`dJS(@`dL T( @`dNHT0xT|T@`idR; @[ XdU@` dW@ `'dY { @@ hd[ 0VO' Q" @ d^S 0Q,\  Rq Rl @ XdbYe x# am-diag-gmm.o/ 0 0 0 644 827120 ` ELF> @@ih !"()*+-.1256789:<=?@BCDEFGHIMNOPQ`aATUSHcHHGH)HH9sfHL$H,Ht+H}@H}(H}HHLH;HSHwH9t tH)Hk[]A\H CH5H=HHwH)HHHtHHƸH A HH9uøATUSHdH%(H$1HLgL9PHHI)IIĽH;HL9uHAaH HHH{ H5H|$ H|$ H5HHHPHT$ H@@H$HH@HD$(H|$pH$H9tHH@HD$(HH{`HHPHT$ HRH@HD HH@H$HH$dH3 %(u(HĠ[]A\ýHH|$ HAUATUSHHHAD$L$T$ dH%(H$1AHD$HD$HD$ HT$L$ D$DHHUHEH)H~CHUHEH)H9}&HcH(pdf_index) < densities_.size()Invalid parameters: --ubm-num_gauss=Invalid parameters: --cluster-varfloor=Invalid parameters: --reduce-state-factor=Trying to write empty AmDiagGmm object.Init() called on a non-empty object. Contents will be overwrittenInit() called with number of pdfs = 0. Will do nothing.densities_.back()->Dim() == dimClusterGaussiansToUbm: first reducing num-gauss from Merging densities to 1 Gaussian per state.(static_cast(pdf_index) < densities_.size()) && (densities_[pdf_index] != NULL)static_cast(i) < static_cast(num_rows_) is less than # of preclustered states into a single GMM for final merge step.means_invvars_.NumRows() == means.NumRows() && means_invvars_.NumCols() == means.NumCols() && inv_vars_.NumRows() == invvars.NumRows() && inv_vars_.NumCols() == invvars.NumCols()am-diag-gmm.ccFound Gaussian components.Split states with target = , power = , perturb_factor = and min_count = , split #Gauss from to Merged , merged from > --intermediate-num_gauss= > --max-am-gauss=gmm.Dim() == this->Dim()num_pdfs > 0vector::reserveClustered down to ; will not cluster furtherMerging Gausians for state : ../gmm/am-diag-gmm.h../matrix/kaldi-matrix.hCreating clusters of states.Intermediate num_gauss is more than num-gauss , reducing it to , increasing it to Merging from Gaussians in the acoustic model, down to Gaussians.Putting Gaussians weight > 0.0weights_.Dim() == w.Dim()Merged down to Not merging Gaussians since < G</;u~5o<>+>+ +'+'JXy$B%-L+ddN,_t %Zo8AJ>\>?>>> * > ? ?&&C A;?A@&& |@#2#u@&~@(tA)P@,A,A,A-A--455-555-6:-7;@9JA;->(?gauss < NumGauss()../gmm/diag-gmm-inl.hstatic_cast(out->Dim()) == Dim()AUATUSH(dH%(HD$1;w }@HIԋr;wHuOH$D$ILHs(L>H H5H=H H5H=Hs@LHLHHD$dH3%(uH([]A\A]HHHS;w }%HӋOH9Ju7Hw(HH[H H5H=H H5H=v != NULL../util/stl-utils.hATUSHtHLgL9twHHI)II(H H5H=HL9tXF)4BOTBXtBaBtBxB}B 3:GR:f:7 ) >Sh    .0@, 2Ue 6z  /:S^,0w}80end@0endHQZ  c1 7 lP V uo u }      ) / D T i t        x! , lE P 0at2xh s 0atGl Wl bx ml xx  + 6 O Z s ~  ,    6 A Z j  ,; J Z q$=Mfq,A,U*:lSm 4D]h"5Nd}+E^s 5Nh8CNY4rMb,XzXX1<U[tz [ % E  V 2Bc [k     -B [k  ) 7 K -=Y Vf|     (= Vf  H n   #B [f   ) EZ Hv H  \  E$Eb HJH 7[PH@strPtzGw E$Eb G[:MfD=H0str} E$Eb  =J'EGH3Ji_Tp__v Q'EGH3J _Tp__v ZQ'EoGH3J*LR_Tp__v  'LL }OY'_N'cN'gN2u!4/!O!Q!S5@!USY!Vlr3!X !` !b !e !i!v)!zAL 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.sT$.T$IFHL$T$HL$(XT$D$9<$6$H$$HcHH$$9|$\AHHH$$^D$D$XH$H$$$D$H$H;$t{HtH$H$FH$ H$H$HHH$D@D$H)HHHHHLL$oH$H$H H5H=H H5H=$;$sR$HH$HH$$$T$^T$DH$T$(H H5H=H$Ht$PHLD$XLH$D$IFHL$|$D<LH$LI~(LI~($;$sE$HH$HH$$$H$H H5H=LI~($A;FLAVHAFPHIN@HH$$$;$sw$HH$HH$$$H$LIv(H$f>H H5H=H H5H=LI~(YHD$pHL$HD$ H$L (H8 fZD$XD$HD$HHD$(,D$8D$4+D$@;D$8_H$H$H9F?|$oDgHH)H H$ LcH$LHHHtB LcLHHHHHHHH?H9IH3HCHH)H9t HLM,M9HHHH?H?H)HHjLLHH@~`Il$@HjHLHI9u.TAnHȉPHHP9|0HI9t(uHEU9|HHjLLHID$HL9tBHx9:H H5H=HMtLHIIMLEHIL9s (HH9uL9tA4DH|$MtLH[]A\A]A^A_HH=HH5H=Hkaldi::KaldiFatalErrorHHHH@HHSHHH@HH[USH8HdH%(HD$(1HHHHs(HHHH@HEH<$HD$H9tHH5HHH<$HD$H9tHHH5@}x+num_mix > 0 && dim > 0full-gmm.ccweights_(mix) >= 0../matrix/kaldi-matrix.hAt component mismatch vs. dim == data.Dim() Dim() == source.Dim()nmix > 0 && dim > 0valid_gconsts_../gmm/diag-gmm.h../matrix/sp-matrix.hExpected , got Expected , got Cannot split from ../matrix/kaldi-vector.h to componentsgauss < NumGauss())Weights sum to : rescaling.max_i != max_j!preselect.empty()), currently , 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model-common.cc_ZZN5kaldi16StringToGmmFlagsENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEE8__func___ZZN5kaldi15AugmentGmmFlagsEtE8__func___ZZN5kaldi23StringToSgmmUpdateFlagsENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEE8__func___ZZN5kaldi22StringToSgmmWriteFlagsENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEE8__func___ZZN5kaldi15GetSplitTargetsERKNS_6VectorIfEEiffPSt6vectorIiSaIiEEE8__func___GLOBAL__sub_I_model_common.cc_ZStL8__ioinit.LC1.LC2.LC3.LC4.LC6.LC5.LC7.LC8.LC9.LC10.LC11.LC12.LC17.LC18.LC19.LC0.LC13.LC14.LC15_ZN5kaldi15KaldiFatalErrorD5Ev_ZNK5kaldi15KaldiFatalError4whatEv_ZN5kaldi15KaldiFatalErrorD2Ev_GLOBAL_OFFSET_TABLE__ZTVN5kaldi15KaldiFatalErrorE_ZNSt13runtime_errorD2Ev_ZN5kaldi15KaldiFatalErrorD1Ev_ZN5kaldi15KaldiFatalErrorD0Ev_ZdlPv_ZN5kaldi13MessageLogger11LogAndThrowaSERKS0_DW.ref.__gxx_personality_v0_ZNK5kaldi13MessageLogger10LogMessageEv__cxa_allocate_exception_ZNKSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE3strEv_ZNSt13runtime_errorC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE_ZTIN5kaldi15KaldiFatalErrorE__cxa_throw__cxa_free_exception_Unwind_Resume_ZN5kaldi16StringToGmmFlagsENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE_ZN5kaldi13MessageLoggerC1ENS_18LogMessageEnvelope8SeverityEPKcS4_i_ZSt16__ostream_insertIcSt11char_traitsIcEERSt13basic_ostreamIT_T0_ES6_PKS3_l_ZN5kaldi12CharToStringB5cxx11ERKc_ZNSt7__cxx1119basic_ostringstreamIcSt11char_traitsIcESaIcEED1Ev__stack_chk_fail_ZN5kaldi16GmmFlagsToStringB5cxx11Et_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_appendEPKcm_ZSt20__throw_length_errorPKc_ZN5kaldi15AugmentGmmFlagsEt_ZN5kaldi19KaldiAssertFailure_EPKcS1_iS1__ZTVNSt7__cxx1119basic_ostringstreamIcSt11char_traitsIcESaIcEEE_ZTVNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEEE_ZTVSt15basic_streambufIcSt11char_traitsIcEE_ZNSt6localeD1Ev_ZTTNSt7__cxx1119basic_ostringstreamIcSt11char_traitsIcESaIcEEE_ZTVSt9basic_iosIcSt11char_traitsIcEE_ZNSt8ios_baseD2Ev_ZN5kaldi23StringToSgmmUpdateFlagsENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE_ZN5kaldi22StringToSgmmWriteFlagsENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE_ZNSt6vectorIiSaIiEE17_M_default_appendEm_Znwmmemmove_ZSt17__throw_bad_allocv_ZSt11__push_heapIN9__gnu_cxx17__normal_iteratorIPN5kaldi10CountStatsESt6vectorIS3_SaIS3_EEEElS3_NS0_5__ops14_Iter_comp_valISt4lessIS3_EEEEvT_T0_SF_T1_RT2__ZNSt6vectorIN5kaldi10CountStatsESaIS1_EE17_M_realloc_insertIJRKS1_EEEvN9__gnu_cxx17__normal_iteratorIPS1_S3_EEDpOT__ZNSt6vectorIN5kaldi10CountStatsESaIS1_EE17_M_realloc_insertIJS1_EEEvN9__gnu_cxx17__normal_iteratorIPS1_S3_EEDpOT__ZSt13__adjust_heapIN9__gnu_cxx17__normal_iteratorIPN5kaldi10CountStatsESt6vectorIS3_SaIS3_EEEElS3_NS0_5__ops15_Iter_comp_iterISt4lessIS3_EEEEvT_T0_SF_T1_T2__ZN5kaldi15GetSplitTargetsERKNS_6VectorIfEEiffPSt6vectorIiSaIiEEpow_ZNSolsEi_ZNSo9_M_insertIdEERSoT__ZNSt8ios_base4InitC1Ev__dso_handle_ZNSt8ios_base4InitD1Ev__cxa_atexit_ZTSN5kaldi15KaldiFatalErrorE_ZTVN10__cxxabiv120__si_class_type_infoE_ZTISt13runtime_error2 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